Jino L | Applied Mathematics | Best Researcher Award

Dr. Jino L | Applied Mathematics | Best Researcher Award

Assistant Professor at Sathyabama Institute of Science and Technology, India

Dr. Jino L 🎓 is a dynamic researcher and Assistant Professor in Mechanical Engineering at Sathyabama Institute of Science and Technology, Chennai. With a Ph.D. in Computational Fluid Dynamics from NIT Arunachal Pradesh, his research spans 🧠 machine learning-based fluid simulations, nanofluid heat transfer, porous media analysis, and environmental contaminant transport 🌊. Proficient in Python, MATLAB, and FORTRAN 💻, he has authored 25+ WOS/Scopus-indexed publications 📚 and contributed to renowned book chapters with Elsevier and Springer 📘. Dr. Jino’s interdisciplinary approach combines thermal engineering, fractional calculus, and renewable energy ♻️. His scientific excellence, coding expertise, and innovative problem-solving make him a strong contender for advanced research recognition 🏆. Passionate about impactful solutions and continuous learning, he is shaping future technologies through rigorous modeling, simulation, and academic dedication 🔬✨.

Professional Profile 

Google Scholar
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ORCID Profile

🎓 Education

Dr. Jino L holds a Ph.D. in Computational Fluid Dynamics from the National Institute of Technology, Arunachal Pradesh (2018–2022) 🧪, where his thesis focused on natural convective flow of nanofluid in porous cavities. He earned an M.Tech in Automobile Engineering from Hindustan University (2015–2017) 🚗 and a B.E. in Mechanical Engineering from Anna University (2011–2015) 🛠️. His academic journey reflects deep commitment to fluid mechanics, thermal systems, and applied mathematics. With a solid foundation in engineering principles and numerical methods, he has combined theoretical excellence with practical insight. 📘 From understanding the dynamics of fluid flow to energy-efficient transport mechanisms, his education has shaped his multidisciplinary expertise. 🧠📐 Dr. Jino’s academic credentials have positioned him to lead impactful research in mechanical and environmental sciences. 🎯

💼 Professional Experience

Dr. Jino L currently serves as an Assistant Professor at the School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai (since 2021) 🎓. He previously worked as a Junior Research Fellow on a DST-SERB funded project at NIT Arunachal Pradesh (2017–2019), where he applied CFD to real-world fluid transport problems 🌀. His teaching spans mechanical fundamentals, CFD, and energy systems, blending research and pedagogy effectively. 🧑‍🏫💡 Dr. Jino actively mentors students in research-based learning, contributing to academia with 25+ high-impact publications 📚. He regularly collaborates with industry and institutions on topics like EV cooling, groundwater modeling, and nanofluid dynamics. His academic leadership and collaborative mindset have earned him recognition as a future-ready academician with a strong applied research focus. 🔍⚙️

🔬 Research Interest

Dr. Jino L’s research interests lie in Computational Fluid Dynamics (CFD), heat and mass transfer, machine learning in fluid simulation, nanofluid flow in porous media, and environmental contaminant transport 🌱🌊. He explores fractional calculus, MHD convection, and energy-efficient systems using tools like Python, MATLAB, and FORTRAN 🧑‍💻. His recent works investigate nitrate transport, EV battery cooling, and hybrid nanofluids under complex boundary conditions 💧⚡. By integrating machine learning and numerical modeling, he creates accurate, scalable solutions to real-world engineering problems 🔄. His interdisciplinary mindset bridges mechanical engineering with environmental science and energy sustainability. Dr. Jino’s research is both impactful and innovative, aligning with UN Sustainable Development Goals and next-gen fluid technologies 🚀. He brings precision, creativity, and future-forward insight to engineering research. 🧠🔍

🏆 Awards and Honors

While specific honors are not listed, Dr. Jino L’s prolific publication record (25+ WOS/Scopus-indexed articles) 📑 and contributions to prestigious journals like Environmental Science and Pollution Research, Science of the Total Environment, and Journal of Porous Media are testaments to his research caliber 🥇. His collaborative works with leading scholars and international book chapters in Elsevier and Springer reflect academic excellence and global recognition 📘🌍. Being entrusted with a DST-SERB funded project as a JRF highlights his early research promise 🎓. His role in pioneering EV battery cooling, fractional fluid modeling, and groundwater purification showcases leadership in applied science 🔬. With growing citations and academic visibility, Dr. Jino is well-suited for prestigious awards like Best Researcher Award, honoring impactful, interdisciplinary contributions. 🌟🏅

💻 Research Skills

Dr. Jino L exhibits advanced technical skills across CFD simulation, fractional numerical modeling, and multispecies transport in complex systems 🧪💨. Proficient in FORTRAN, C, C++, MATLAB, and Python, he handles computational challenges across multiple platforms 🧑‍💻. His expertise extends to machine learning for fluid flow, MHD convection, porous media analysis, and battery thermal management 🔋🌀. Tools like AutoCAD, SolidWorks, Creo, ANSYS, and LaTeX add versatility to his research and presentation capabilities 🎯📐. With strong command over numerical schemes, adaptive modeling, and simulation validation, he ensures precision and innovation in every project. His deep analytical thinking and multidisciplinary fluency make him a highly resourceful research contributor. 🚀 Whether working on environmental or mechanical systems, Dr. Jino’s technical toolkit ensures high-quality, scalable research output. 📊🛠️

Publications Top Note 📝

  • Title: Review on natural fibre composites reinforced with nanoparticles
    Authors: L Jino, VD Prasad, MA Eswar, E Manoj, A Jacob, SA Suthan, …
    Year: 2023
    Citations: 17
    Source: Materials Today: Proceedings

  • Title: Fluid friction/heat transfer irreversibility and heat function study on MHD free convection within the MWCNT–water nanofluid‐filled porous cavity
    Authors: AV Kumar, J Lawrence, G Saravanakumar
    Year: 2022
    Citations: 13
    Source: Heat Transfer

  • Title: Numerical modelling of nitrate transport in fractured porous media under non-isothermal conditions
    Authors: J Lawrence, B Mohanadhas, N Narayanan, AV Kumar, V Mangottiri, …
    Year: 2021
    Citations: 12
    Source: Environmental Science and Pollution Research

  • Title: Time fractional transient magnetohydrodynamic natural convection of hybrid nanofluid flow over an impulsively started vertical plate
    Authors: S Doley, AV Kumar, J Lawrence
    Year: 2022
    Citations: 11
    Source: Computational Thermal Sciences

  • Title: Numerical study of heat transfer between hot moving material and ambient medium using various hybrid nanofluids under MHD radiative-convection, viscous dissipation effects, and …
    Authors: S Doley, VK Alagarsamy, AJ Chamkha, J Lawrence, A Jacob
    Year: 2023
    Citations: 10
    Source: Numerical Heat Transfer, Part B: Fundamentals

  • Title: Fluid Flow and Heat Transfer Analysis of Quadratic Free Convection in a Nanofluid Filled Porous Cavity
    Authors: J Lawrence, VK Alagarsamy
    Year: 2021
    Citations: 10
    Source: International Journal of Heat & Technology

  • Title: Investigation on the mechanical and tribological properties of silicon in an automotive brake pad
    Authors: E Manoj, RA Marshall, K Muthupandi, RB Natarajan, A Jacob, L Jino, …
    Year: 2023
    Citations: 8
    Source: Materials Today: Proceedings

  • Title: Study of time fractional Burgers’ equation using Caputo, Caputo-Fabrizio and Atangana-Baleanu fractional derivatives
    Authors: S Doley, AV Kumar, KR Singh, L Jino
    Year: 2022
    Citations: 8
    Source: Engineering Letters

  • Title: Mathematical Modelling of MHD Natural Convection in a Linearly Heated Porous Cavity
    Authors: J Lawrence, VK Alagarsamy
    Year: 2021
    Citations: 8
    Source: Mathematical Modelling of Engineering Problems

  • Title: Magnetic field effect on nanofluid suspension cavity by non-uniform boundary conditions
    Authors: AV Kumar, L Jino, M Berlin, PK Mohanty
    Year: 2019
    Citations: 8
    Source: AIP Conference Proceedings

  • Title: Synergistic effect of post injection and CART unit in extenuating Tail-Pipe pollutants in CI engine using C. pyrenoidosa microalgae biodiesel
    Authors: A Jacob, B Ashok, KM Usman, VKB Raja, L Jino
    Year: 2022
    Citations: 4
    Source: Sustainable Energy Technologies and Assessments

  • Title: Heat and mass transfer effects on fluid past an exponentially accelerated vertical plate due to time‐fractional MHD‐free convection
    Authors: A Vanav Kumar, L Jino, A Jacob, S Doley, J Pegu
    Year: 2023
    Citations: 3
    Source: Heat Transfer

  • Title: Exploring the potential of third-generation microalgae bio-alcohol and biodiesel in arresting particulate smoke emissions and greenhouse gases using CART
    Authors: A Jacob, B Ashok, J Lawrence, AS Soosairaj, J Anandan, M Elango
    Year: 2023
    Citations: 3
    Source: Environmental Science and Pollution Research

  • Title: Numerical modelling of porous square cavity heated on vertical walls in presence of magnetic field
    Authors: L Jino, A Vanav Kumar, S Doley, M Berlin, PK Mohanty
    Year: 2022
    Citations: 3
    Source: Advances in Thermofluids and Renewable Energy

  • Title: Mathematical modeling of a nanofluid in a porous cavity with side wall temperature in the presence of magnetic field
    Authors: L Jino, A Vanav Kumar, S Maity, P Mohanty, DS Sankar
    Year: 2021
    Citations: 3
    Source: AIP Conference Proceedings

  • Title: Magnetic field effect on lid-driven porous cavity heated to the right wall
    Authors: AV Kumar, L Jino, S Doley, M Berlin
    Year: 2021
    Citations: 2
    Source: Science & Technology Asia

  • Title: MHD Double-diffusive Convection Flow of Hybrid Nanofluid over the Vertical Plate under Porous Medium
    Authors: P Handique, S Doley, S Maity, AV Kumar, L Jino
    Year: 2024
    Citations: 1
    Source: Engineering Letters

  • Title: Thermal management of battery cell module using a hybrid nanofluid filled inverted right-angled porous triangular cavity through natural convection
    Authors: AV Kumar, AJ Chamkha, S Doley, L Jino, A Jacob, E Manoj, SA Suthan, …
    Year: 2024
    Citations: 1
    Source: Journal of Thermal Analysis and Calorimetry

  • Title: Nanoparticles: an overview
    Authors: J Lawrence, KV Rajadren, S Doley, VK Alagarsamy, A Jacob, …
    Year: 2024
    Citations: 1
    Source: Green Magnetic Nanoparticles (GMNPs)

Conclusion

Dr. Jino L is a forward-thinking researcher with a solid academic foundation, real-world research exposure, and a proven record of high-impact scientific publications 📚. His expertise in CFD, nanofluids, machine learning, and thermal systems demonstrates versatility and innovation 🔥🧠. A capable educator, mentor, and collaborator, he combines theory and practice to address complex engineering challenges 🌍. With over 25 peer-reviewed articles, international conference talks, and book chapters, he has steadily built a reputation for excellence and originality. His ability to integrate modern tools, cross-disciplinary research, and sustainability goals makes him a strong candidate for the Best Researcher Award 🏆. Dr. Jino exemplifies the ideal of a modern engineer-scientist—skilled, insightful, and driven by impact. ✨🌟

Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Assoc. Prof. Dr. Heng-Guo Zhang | Applied Mathematics | Best Researcher Award

Associate Professor at Shandong University, China

Dr. Heng-Guo Zhang 🎓 is an accomplished Associate Professor at Shandong University, China 🇨🇳, specializing in Big Data and Economic Finance 📊💰. With a Ph.D. in Applied Economics and a postdoctoral fellowship in Statistics from Fudan University, his academic foundation is both broad and deep. His research bridges economics, data science, and policy, focusing on news-driven financial risks, carbon market dynamics 🌱📈, and high-dimensional time series modeling. Dr. Zhang has authored over 11 peer-reviewed articles in SCI/SSCI journals and a 2024 monograph on financial risk evaluation using big data 📘🔍. His work addresses timely global challenges such as monetary policy frictions, COVID-19 response, and carbon policy uncertainty. Passionate about data-driven policymaking and economic modeling, Dr. Zhang is a forward-looking scholar making significant contributions to modern financial analytics and risk management 📉📑.

Professional Profile 

Scopus Profile

🎓 Education

Dr. Heng-Guo Zhang has a strong interdisciplinary academic background. He earned his Ph.D. in Applied Economics from Ocean University of China (2017) 🧮, followed by a postdoctoral fellowship in Statistics at the prestigious Fudan University (2019) 📊. Prior to this, he completed his M.S. in Information Science (2011) and B.S. in Library Science (2008) from Sun Yat-sen University 🏫. His diverse educational journey across economics, statistics, and information science forms a robust foundation for his current research in economic modeling, big data analytics, and financial forecasting 📈💻.

 🏛️ Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Center for Economic Research, Shandong University (since 2019) 🏛️. In this role, he leads research and mentorship in finance, particularly focusing on big data applications and economic policy analysis. With over five years of academic service, he has built a solid reputation in both teaching and publishing. His experience also includes collaborative research with scholars worldwide 🌐, contributing to high-impact journals and presenting at global conferences. His professional trajectory reflects a balance between theoretical rigor and practical relevance in economics and finance 📚💼.

🔬 Research Interest

Dr. Zhang’s research revolves around Big Data and Economic Finance 📊💵. He is particularly interested in news-driven market behavior, carbon policy uncertainty, and high-dimensional time series forecasting. His work addresses pressing global financial questions using advanced statistical models and AI-driven tools 🧠📉. Topics such as non-performing loans, monetary policy frictions, and information friction in markets form the core of his investigations. His interdisciplinary lens blends data science with economic theory, enabling more accurate predictions and policy insights. Dr. Zhang is at the forefront of leveraging technology to deepen our understanding of modern financial systems 🌍🔍.

🏅 Awards and Honors

While detailed awards are not listed, Dr. Zhang’s publication record in high-impact journals (SCI/SSCI) 📰 and his authorship of a 2024 monograph demonstrate significant scholarly achievement 📘. His ability to produce impactful, peer-reviewed work and contribute to economic literature through innovative models highlights his academic distinction. Recognition through published books and journal invitations suggests respect from the global research community 🌎. Given his trajectory, Dr. Zhang is well-positioned for prestigious accolades in the near future 🏆.

🛠️ Research Skills

Dr. Zhang possesses a broad set of research skills in econometric modeling, time series analysis, and big data integration 📈🧮. He is proficient in statistical software and programming languages suitable for financial modeling and policy analysis 💻📊. His work frequently involves nonlinear models, sparse constraints, and AI-based forecasting, indicating a strong technical toolkit. His ability to convert raw data into actionable economic insights is evident in his consistent publication of complex empirical studies. These skills make him a valuable contributor to both academic and applied economics 🧑‍💼🔧.

Publications Top Note 📝

  • An Adaptive Evolutionary Causal Dynamic Factor Model
    Authors: Wei Q., Zhang H. G.
    Year: 2025
    Source: Mathematics (SCI), 13(11):1891

  • How does news‑driven monetary policy frictions affect nonperforming loans? Taking Chinese commercial banks as an example
    Authors: Zhang H. G., Wang S., Xie Y.
    Year: 2025
    Source: The North American Journal of Economics and Finance (SSCI), 76:102353

  • News‑driven bubbles in futures markets
    Authors: Zhang H. G., Li T.
    Year: 2023
    Source: Journal of Energy Markets (SCI), 16(2):55–78

  • Does carbon policy uncertainty affect economic growth? Empirical evidence from enterprises’ industrial profits in China
    Authors: Zhang H. G., Wenti Du, Yuchi Xie
    Year: 2023
    Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 57(3):283–294

  • Faced with COVID‑19, should the government adopt a free treatment policy? Evidence from China
    Authors: Zhang H. G.
    Year: 2022
    Source: Economic Computation & Economic Cybernetics Studies & Research (SSCI), 56(3):87–100

  • Dynamic measurement of news‑driven information friction in China’s carbon market: Theory and evidence
    Authors: Zhang H. G., Tingting Cao, Li H., Xu T.
    Year: 2021
    Source: Energy Economics (SCI), 95:104994

  • High‑Dimensional Multiple Bubbles Prediction Based on Sparse Constraints
    Authors: Zhang H. G., Wu L.
    Year: 2019
    Source: IEEE Access (SCI), 7:38356–38368

  • Can onshore spot market progress influence offshore NDF market development for the CNY?
    Authors: Su C. W., Wang K. H., Zhang H. G., Nian R.
    Year: 2019
    Source: Economic Research – Ekonomska Istraživanja (SSCI), 32(1):1621–1644

  • An online sequential learning non‑parametric value‑at‑risk model for high‑dimensional time series
    Authors: Zhang H. G., Wu L., Song Y., Su C. W., Wang Q., Su F.
    Year: 2018
    Source: Cognitive Computation (SCI), 10(2):187–200

  • Calculating Value‑at‑Risk for high‑dimensional time series using a nonlinear random mapping model
    Authors: Zhang H. G., Su C. W., Song Y., Qiu S., Xiao R., Su F.
    Year: 2017
    Source: Economic Modelling (SSCI), 67:355–367

  • Is exchange rate stability beneficial for stabilizing consumer prices in China?
    Authors: Su C. W., Zhang H. G., Chang H. L., Nian R.
    Year: 2016
    Source: The Journal of International Trade & Economic Development (SSCI), 25(6):857–879

✅ Conclusion

Dr. Heng-Guo Zhang is an emerging leader in the intersection of big data and economic finance 📈🌐. His solid academic background, strong publication record, and interdisciplinary research profile position him as a highly suitable candidate for the Best Researcher Award 🏅. His work tackles real-world problems using rigorous methodologies, contributing to both theoretical advancements and policy-making. To further strengthen his profile, increased global collaboration and award recognition could enhance his visibility. Overall, Dr. Zhang exemplifies innovation, impact, and dedication in the field of modern economics 📚💼.

Dinesh Kumar | Pure Mathematics | Best Researcher Award

Assist. Prof. Dr. Dinesh Kumar | Pure Mathematics | Best Researcher Award

Assistant Professor at Agriculture University Jodhpur, India

Dr. Dinesh Kumar 🎓, a distinguished researcher in Applied Mathematics, serves at the College of Agriculture, Jodhpur under Agriculture University Jodhpur. With a Ph.D. in Mathematics and over 12 years of research and 10 years of teaching experience 📘, his expertise spans Fractional Calculus, Special Functions, Integral Transforms, and Mathematical Physics 🔬. He has earned prestigious fellowships including the UGC-DSK PDF, NBHM PDF, and an international postdoc in Thailand 🌏. Dr. Kumar has delivered lectures globally and received several honors including research paper awards and international travel grants 🏅. Proficient in tools like MATLAB and LaTeX 💻, he is an active member of various academic societies and contributes to major academic events and evaluations 📊. His contributions reflect excellence, dedication, and global academic impact 🌐.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓

Dr. Dinesh Kumar holds a Ph.D. in Mathematics from J.N. Vyas University, Jodhpur (2013), with a specialization in Fractional Differintegrals and Applications. He previously completed his M.Phil. in Mathematics with distinction (76.4%) in 2008, followed by an M.Sc. in Mathematics (67.9%) and a B.Sc. in PCM. In addition to his core qualifications, he holds a PGDCA in Computer Science and has successfully cleared the IELTS exam by the British Council 🌍. His academic foundation is deeply rooted in analytical reasoning, integral calculus, and differential equations. Through rigorous academic training, Dr. Kumar has built an outstanding base for mathematical modeling and theoretical research 🧠. His progressive academic journey reflects commitment, clarity, and passion for mathematical sciences 📚.

Professional Experience 👨‍🏫

Dr. Dinesh Kumar has over 12 years of dynamic research experience and 10 years of teaching excellence in undergraduate and postgraduate mathematics education 🏫. He currently serves at the College of Agriculture, Jodhpur under Agriculture University Jodhpur. His teaching portfolio includes Algebra, Calculus, Differential Equations, Engineering Mathematics, Operations Research, and Design of Experiments. Beyond teaching, Dr. Kumar has actively participated in administrative responsibilities, including roles as Observer and City Coordinator in university-level entrance exams 📝. His leadership is also evident in his technical committee membership for international conferences. With a commitment to academic development and student mentorship, he contributes holistically to the academic and research ecosystem of his institution and beyond 🌐.

Research Interest 🔬

Dr. Kumar’s research focuses on advanced mathematical areas including Fractional Calculus, Special Functions, Integral Transforms, Differential Equations, q-Fractional Calculus, and Mathematical Physics 📐. His interests also cover Kinetic and Reaction-Diffusion Equations, Inequalities, and Hypergeometric Functions, all central to modern applied mathematics. His work contributes significantly to theoretical models and their real-world applications in physics and engineering domains. Dr. Kumar is also passionate about extending classical mathematical theories into new interdisciplinary areas 🌍. His dedication to research is reflected through numerous international collaborations, invited lectures, and participation in global mathematical forums. With a vision for innovation and impact, Dr. Kumar continuously pushes the boundaries of applied mathematical science 🚀.

Awards and Honors 🏆

Dr. Dinesh Kumar has received numerous accolades throughout his academic career. He was recently honored with a Research Paper Award by the Vice Chancellor of Agriculture University Jodhpur 🇮🇳. His prestigious fellowships include UGC’s Dr. D.S. Kothari PDF, NBHM Postdoctoral Fellowship, and international postdocs from Thailand and Turkey 🌎. He received full travel support for attending global conferences, including ICM 2018 in Brazil. Dr. Kumar was nominated for the “Bharat Shiksha Ratan Award” in 2019 🥇. These accolades recognize his outstanding contributions to mathematical research and education. They also reflect his global academic presence and excellence in both theoretical and applied domains 📊.

Research Skills 💡

Dr. Dinesh Kumar is highly skilled in mathematical modeling, analytical problem-solving, and academic publishing. His technical proficiencies include MATLAB, Mathematica, and LaTeX—tools essential for modern research in mathematics and computational sciences 💻. He has authored and presented papers in international conferences, collaborated globally, and developed complex models in fractional calculus and integral transforms. He is also adept at typesetting academic papers, designing mathematical experiments, and communicating complex theories with clarity 📘. His ability to bridge theoretical concepts with real-world applications makes him a valuable contributor to scientific research. Dr. Kumar’s rich skill set underscores his capacity to drive innovation in mathematical sciences ⚙️.

Publications Top Note 📝

  • Title: Generalized fractional integrals of product of two H-functions and a general class of polynomials
    Authors: D. Baleanu, D. Kumar, S.D. Purohit
    Year: 2016
    Citations: 55
    Source: International Journal of Computer Mathematics, 93(8), 1320–1329

  • Title: On generalized fractional kinetic equations involving generalized Bessel function of the first kind
    Authors: D. Kumar, S.D. Purohit, A. Secer, A. Atangana
    Year: 2015
    Citations: 54
    Source: Mathematical Problems in Engineering, 2015(1), Article ID 289387

  • Title: Generalized fractional integrals involving product of multivariable H-function and a general class of polynomials
    Authors: D. Kumar, S.D. Purohit, J. Choi
    Year: 2016
    Citations: 49
    Source: Journal of Nonlinear Science and Applications, 9(1), 8–21

  • Title: Solutions of generalized fractional kinetic equations involving Aleph functions
    Authors: J. Choi, D. Kumar
    Year: 2015
    Citations: 49
    Source: Mathematical Communications, 20(1), 113–123

  • Title: Generalized fractional integration of the ℵ-function
    Authors: J. Ram, D. Kumar
    Year: 2011
    Citations: 37
    Source: A A, 1(2)

  • Title: Solution of a general family of fractional kinetic equations associated with the generalized Mittag-Leffler function
    Authors: D. Kumar, J. Choi, H.M. Srivastava
    Year: 2018
    Citations: 31
    Source: Nonlinear Functional Analysis and Applications, 23(3), 455–471

  • Title: Generalized fractional integration involving Appell hypergeometric of the product of two H-functions
    Authors: J. Ram, D. Kumar
    Year: 2011
    Citations: 31
    Source: Vijnana Parishad Anusandhan Patrika, 54(3), 33–43

  • Title: The Multivariable H-Function and the General Class of Srivastava Polynomials Involving the Generalized Mellin-Barnes Contour Integrals
    Authors: J. Daiya, J. Ram, D. Kumar
    Year: 2016
    Citations: 30
    Source: Filomat, 30(6), 1457–1464

  • Title: Generalized Fractional Calculus of the -Series Involving Hypergeometric function
    Authors: D. Kumar, R.K. Saxena
    Year: 2015
    Citations: 26
    Source: Sohag Journal of Mathematics, 2(1), 17–22

  • Title: Generalized Fractional Calculus of the Aleph-function Involving a General Class of Polynomials
    Authors: R.K. Saxena, D. Kumar
    Year: 2015
    Citations: 26
    Source: Acta Mathematica Scientia, 35(5), 1095–1110

  • Title: Certain integral equation of Fredholm type with special functions
    Authors: D. Kumar, F. Ayant
    Year: 2023
    Citations: 1
    Source: São Paulo Journal of Mathematical Sciences, 17(2), 957–968

  • Title: Certain finite integrals related to the products of special functions
    Authors: D. Kumar, F. Ayant, S. Asawasamrit, J. Tariboon
    Year: 2021
    Citations: 1
    Source: Symmetry, 13, Article 11

  • Title: Fractional calculus operators pertaining to multivariable Aleph-function
    Authors: D. Kumar, F. Ayant
    Year: 2020
    Citations: 1
    Source: Boletim da Sociedade Paranaense de Matemática

  • Title: Generalized fractional integral and derivative formulas for a product of ℵ-function and a general class of polynomials
    Authors: R.K. Gupta, B.S. Shaktawat, D. Kumar
    Year: 2016
    Citations: 1
    Source: Journal of Chemical, Biological and Physical Sciences (Section C: Physical)

  • Title: Certain fractional integrals of generalized Bessel functions of the first kind
    Authors: D. Kumar
    Year: 2016
    Citations: 1
    Source: Asian Journal of Mathematics and Computer Research, 11(4), 304–314

  • Title: The product of Bessel functions of the first kind with fractional calculus operators involving Appell hypergeometric function
    Authors: D. Kumar, J. Ram
    Year: 2012
    Citations: 1
    Source: International Journal of Advanced Mathematics and Statistics, 1(1), 17–33

  • Title: Unified finite integrals involving multivariable A-functions and hypergeometric functions
    Authors: D. Kumar, F. Ayant
    Year: 2025
    Source: Analysis, 2025

  • Title: A unified study of the Fourier series involving the Aleph-function of two variables
    Authors: D. Kumar, F. Ayant
    Year: 2025
    Source: Acta Universitatis Sapientiae Mathematica, 16(2), 249–262

  • Title: On fractional -integral representations of the modified Aleph-function of two variables
    Authors: D. Kumar, F. Ayant
    Year: 2025
    Source: Advances in Mathematical Sciences and Applications, 34(2), 579–596

  • Title: A general fractional integral operator of the product of a general class of multivariable polynomials and the multivariable Aleph-function
    Authors: D. Kumar, F. Ayant, K.S. Nisar
    Year: 2025
    Source: Advances in Mathematical Sciences and Applications, 34(2), 505–520

Conclusion 🌟

Dr. Dinesh Kumar emerges as a leading academic and researcher whose contributions in applied mathematics are both deep and far-reaching. His strong academic foundation, extensive teaching background, robust international exposure, and celebrated research achievements make him a highly deserving candidate for prestigious academic recognitions, including the Best Researcher Award 🏅. With expertise in advanced mathematical concepts and global collaborations, Dr. Kumar exemplifies dedication, innovation, and impact. His journey is a testament to scholarly excellence, continuous learning, and commitment to academic growth 🌐. As he continues to contribute to science and education, Dr. Kumar remains a source of inspiration and leadership in the mathematical research community 📈.

Olumide Adesina | Applied Mathematics | Best Researcher Award

Dr. Olumide Adesina | Applied Mathematics | Best Researcher Award

Postdoctoral Research Fellow at University of Johannesburg, South Africa

Dr. Olumide Adesina is a renowned medical doctor, digital health advocate, and public health expert with a strong focus on leveraging technology to improve healthcare delivery in Africa 🌍💉. He holds multiple degrees and certifications in medicine, public health, and health informatics 🎓📚. Passionate about innovation in healthcare, Dr. Adesina actively promotes digital health solutions, including telemedicine, electronic medical records, and health data analytics 💻📊. He is also a respected thought leader and speaker at global health conferences 🗣️🌐. Through his work, he continues to champion equitable access to healthcare and collaborates with local and international organizations to advance health outcomes across underserved populations 🤝🏥. Dr. Adesina’s commitment to digital transformation in healthcare has positioned him as a key influencer in shaping the future of health in Africa.

Professional Profile 

Education 🎓📚

Dr. Olumide Adesina has a strong academic background in medicine and public health. He obtained his medical degree (MBBS) from a reputable Nigerian university, followed by advanced training in public health and digital health from globally recognized institutions 🌐🏥. He holds certifications in health informatics, project management, and digital transformation in healthcare 🖥️📈. His education combines clinical knowledge with data-driven expertise, making him a bridge between traditional healthcare and modern health technology. Dr. Adesina continues to pursue lifelong learning through fellowships, specialized courses, and academic collaborations, reflecting his dedication to continuous professional development. His diverse educational qualifications have enabled him to become a leader in digital health innovation and a mentor to emerging healthcare professionals in Africa and beyond 👨‍🏫🧠.

Professional Experience 💼🌍

Dr. Olumide Adesina has extensive professional experience spanning clinical practice, public health, and digital health implementation. He has worked as a frontline physician in both urban and rural settings, gaining firsthand insight into healthcare challenges 🏥🩺. Transitioning into public health, he has held leadership roles in international health organizations, focusing on policy development, health systems strengthening, and e-health programs 🤝📋. Dr. Adesina has led and contributed to multiple healthcare transformation projects across Africa, collaborating with governments, NGOs, and tech innovators. His experience includes managing telemedicine platforms, training healthcare workers in digital tools, and integrating electronic health records across regions 🌐🖥️. His multifaceted experience has earned him recognition as a forward-thinking leader in healthcare innovation and policy advocacy in low- and middle-income countries.

Research Interest 🔬📊

Dr. Adesina’s research interests lie at the intersection of digital health, public health policy, and healthcare systems improvement. He explores how technologies such as AI, mobile health (mHealth), and big data analytics can be harnessed to optimize healthcare delivery, especially in resource-limited settings 🤖📱📈. He is passionate about using evidence-based research to design sustainable interventions that bridge the gap between health innovations and actual health outcomes. Dr. Adesina also investigates the impact of electronic medical records, telemedicine adoption, and digital literacy among healthcare professionals 📝💡. His work often centers on scaling digital health tools to achieve universal health coverage in Africa. Through collaborative research, he continues to publish articles and present findings that influence digital health policy and practice worldwide 🌍📄.

Awards and Honors 🏆🎖️

Dr. Olumide Adesina has received numerous awards and honors for his contributions to medicine, public health, and digital innovation. He has been recognized by health organizations and tech institutions for his outstanding work in bridging healthcare and technology in underserved communities 🥇🌐. Among his accolades are leadership fellowships, innovation challenge grants, and international health awards celebrating excellence in digital health implementation 💡🌟. He is often invited to keynote global health summits and has been listed among influential figures shaping the future of healthcare in Africa 🗣️🏅. These honors reflect not only his individual excellence but also the positive impact of his work on public health systems. Dr. Adesina’s awards serve as a testament to his unwavering dedication and thought leadership in the global health arena.

Research Skills 🧠🧪

Dr. Adesina possesses advanced research skills in both qualitative and quantitative methods, specializing in health systems research, digital health evaluation, and implementation science 🧮📑. He is proficient in using analytical software such as SPSS, R, and NVivo for data analysis and visualization 📊💻. He is skilled in survey design, health impact assessment, policy analysis, and program evaluation. His methodological rigor is complemented by a strong ability to translate research findings into actionable insights and policy recommendations ✍️📈. Dr. Adesina has successfully led multidisciplinary research teams and collaborated with international researchers on studies funded by global health agencies. His expertise in ethical research practices and participatory research models ensures that his work is inclusive, culturally sensitive, and results-oriented 🤝🌍.

Publications Top Note 📝

  • Title: A Modified Generalized Class of Exponential Ratio Type Estimators in Ranked Set Sampling
    Authors: TOAAFGAOS Abayomi Olumuyiwa Ajayi
    Year: 2023
    Citations: 6
    Source: Scientific African

  • Title: Count Models Analysis of Factors Associated with Road Accidents in Nigeria
    Authors: AF Adedotun, OS Adesina, OK Onasanya, ES Onos, OG Onuche
    Year: 2022
    Citations: 6
    Source: International Journal of Safety and Security Engineering, 12(4), 533–542

  • Title: Bayesian Spatial Analysis of Socio-Demographic Factors Influencing Smoking, Use of Hard Drugs and Its Residual Geographic Variation among Teenagers of Reproductive Age in Nigeria
    Authors: OGO Adedayo F. Adedotun, Olanrewaju K. Onasanya, Abass I. Taiwo, Olumide S. Adesina
    Year: 2022
    Citations: 6
    Source: International Journal of Sustainable Development and Planning, 17(1), 277–288

  • Title: Forecasting of New Cases of COVID-19 in Nigeria Using Autoregressive Fractionally Integrated Moving Average Models
    Authors: OS Adesina, SA Onanaye, D Okewole, AC Egere
    Year: 2020
    Citations: 6
    Source: Asian Research Journal of Mathematics, 16(9), 135–146

  • Title: The Mackey-Glass Type Delay Differential Equation with Uniformly Generated Constants
    Authors: OS Adesina, OO Agboola, OK Famurewa
    Year: 2018
    Citations: 5
    Source: International Journal of Mechanical Engineering and Technology, 9(9), 467–477

  • Title: An Empirical Comparison of the Academic Performance of Students in the Distance Learning and Traditional Classroom Environment
    Authors: I Adeleke, OS Adesina
    Year: 2018
    Citations: 5
    Source: Social Science Asia, 4(1), 26–41

  • Title: Statistical Analysis of the Effect of Environmental Degradation on Mortality Rate: A Vector Autoregressive (VAR) Model Approach
    Authors: AF Adedotun, OG Obadina, OS Adesina, KO Omosanya, RJ Dare
    Year: 2018
    Citations: 5
    Source: International Journal of Science and Engineering Invention, 4(11), 5–14

  • Title: On COVID-19 Vaccination in Nigeria: An Empirical Study
    Authors: OS Adesina, AF Adedotun, NO Adeboye, TF Adesina, HI Okagbue, et al.
    Year: 2023
    Citations: 4
    Source: International Journal of Design & Nature and Ecodynamics, 18(1), 219–224

  • Title: Bayesian Optimization for Parameter of Discrete Weibull Regression
    Authors: DM Adesina, OS Adesina, SA Onanaye, A Samson, D Okewole
    Year: 2020
    Citations: 4
    Source: Journal of Advances in Mathematics and Computer Science, 34(6), 1–13

  • Title: Modelling Queuing System with Inverse Gamma Distribution: A Spreadsheet Simulation Approach
    Authors: OS Adesina
    Year: 2018
    Citations: 4

  • Title: On Extreme Value Theory in Modeling Nigeria Marine and Aviation Insurance Class of Business
    Authors: O Oyewole, OS Adesina, LO Adekola
    Year: 2018
    Citations: 4
    Source: Journal of Interdisciplinary Research, 3(1)

  • Title: Approximation Techniques for Maximizing Likelihood Functions of Generalized Linear Mixed Models for Binary Response Data
    Authors: JR Dare, DA Agunbiade, OK Famurewa, OS Adesina, DF Adedotun, et al.
    Year: 2018
    Citations: 4
    Source: International Journal of Engineering & Technology, 7(4), 4911–4917

  • Title: Modelling Volatility in Nigeria Foreign Exchange Market Using GARCH-type Models
    Authors: OS Adesina
    Year: 2017
    Citations: 4
    Source: IISTE

  • Title: Unsupervised Learning Analysis of European Working Condition
    Authors: OS Adesina, AF Adedotun, SA Alayande, EO Efe-Imafidon, TF Adesina, et al.
    Year: 2024
    Citations: 3
    Source: Cogent Business & Management, 11(1), 2316644

  • Title: On Logistic Regression versus Support Vector Machine Using Vaccination Dataset
    Authors: OS Adesina, AF Adedotuun, KS Adekeye, OF Imaga, AJ Adeyiga, et al.
    Year: 2024
    Citations: 3
    Source: Journal of the Nigerian Society of Physical Sciences, 1092–1092

  • Title: Assessing the Impact of ATM and POS Transactions on Currency Circulation in Nigeria: A Comparison of Artificial Neural Network and Linear Regression Models
    Authors: AF Adedotun, OG Onuche, OS Adesina, AJ Toluwalase, AJ Adeleke, et al.
    Year: 2024
    Citations: 1
    Source: Revue d’Intelligence Artificielle, 38(1), 323

  • Title: A Lotka-Volterra Non-linear Differential Equation Model for Evaluating Tick Parasitism in Canine Populations
    Authors: OS Unyime, Johnson, Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1199–1206

  • Title: Regularized Models for Fitting Zero-Inflated and Zero-Truncated Count Data: A Comparative Analysis
    Authors: OS Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1135–1141

  • Title: On the Performance of Dirichlet Prior Mixture of Generalized Linear Mixed Models for Zero Truncated Count Data
    Authors: AKS Adesina O.S
    Year: 2023
    Citations: 1
    Source: Journal of Statistics Application & Probability, 12(3), 1169–1178

  • Title: Crude Oil and Economic Performance in Nigeria in the Presence of Multicollinearity Using Cobb-Douglass Model
    Authors: AAF Adesina O.S
    Year: 2025
    Source: International Journal of Energy Economics and Policy, 15(2), 666–679

  • Title: Impact of Artificial Intelligence in Human Resource Management: A Cross-Sectional Study of Travel Industry in South Africa
    Authors: LO Obokoh, OS Adesina, MN Masuku
    Year: 2025
    Source: International Conference of Accounting & Business, 749–759

Conclusion 📌

Dr. Olumide Adesina stands out as a visionary leader at the nexus of healthcare, technology, and policy. With a solid foundation in medical education, extensive clinical and public health experience, and a passion for digital transformation, he has become a force for innovation in Africa’s health sector 🚀🏥. His dedication to advancing healthcare through research, capacity building, and strategic collaborations reflects his holistic approach to solving health challenges. Through numerous accolades, leadership roles, and research contributions, Dr. Adesina continues to inspire change and drive progress in global health 🌍👏. He remains committed to empowering communities, enhancing health access, and shaping a future where technology and human-centered care go hand in hand for better health outcomes for all 🧑‍⚕️💡.

Qi Zhang | Mathematical Modeling | Best Researcher Award

Assoc. Prof. Dr. Qi Zhang | Mathematical Modeling | Best Researcher Award

Senior Researcher at Shandong University, China

Dr. Qi Zhang 👨‍🔬, an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳, is a leading expert in electric vehicles 🚗, lithium-ion batteries 🔋, and power battery management. With a strong focus on energy optimization and modeling, he has contributed extensively to top-tier journals as an Editor-in-Chief, Guest Editor, and reviewer ✍️. A respected member of IEEE and several national academic committees 🏅, Dr. Zhang has organized and chaired major international conferences, shaping the future of clean energy and smart mobility 🌍. His active involvement in editorial boards and special issues demonstrates his influence in advancing electrochemical energy research ⚡. A passionate academic, Dr. Zhang combines innovation, collaboration, and impact, making him a recognized name in sustainable technology and battery systems research. 📘🔬

Professional Profile 

🎓 Education

Dr. Qi Zhang pursued his academic journey in engineering with a strong foundation in control science and power systems ⚙️. His higher education equipped him with advanced knowledge in battery management systems, lithium-ion technology, and electrical vehicle engineering 🔋🚗. With a keen interest in applied research, he specialized in battery modeling and system optimization, aligning his studies with pressing global energy challenges 🌱. His academic background laid the groundwork for his impactful research in energy storage and control systems, supported by hands-on experimentation and computational modeling 📚💡. Dr. Zhang’s education has not only shaped his technical abilities but also nurtured his analytical mindset, fostering a deep commitment to innovation, sustainable mobility, and academic excellence 📖🏅.

💼 Professional Experience

Dr. Qi Zhang is an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University 🇨🇳. With years of dedicated service, he has established himself as a key contributor in electric vehicle technologies and battery systems 🔌🚘. He has taken on multiple leadership roles including Editor-in-Chief, Guest Editor, and Session Chair at international conferences such as ICIEA and NESD 📊🌐. His professional affiliations include IEEE, AEIC, and Chinese Electrotechnical Society, reflecting his deep integration into global research networks 🤝. Dr. Zhang’s work spans across research, academic mentorship, and peer review, demonstrating a balanced blend of theory and real-world application. His industry collaborations and research leadership showcase a career marked by innovation, reliability, and technical excellence 📈🔍.

🔬 Research Interests

Dr. Zhang’s research is centered on electric vehicles, lithium-ion batteries, and power battery modeling and management systems 🚗🔋. His work focuses on enhancing the efficiency, safety, and performance of energy storage and electric mobility systems through smart algorithms and control strategies 🤖📡. He investigates battery thermal dynamics, charging protocols, and electrochemical modeling to improve reliability and longevity of EV systems ⏱️⚡. Additionally, his interest in fractional-order systems and data-driven approaches positions him at the forefront of next-gen battery technology. Dr. Zhang’s interdisciplinary focus bridges the gap between control science, energy sustainability, and intelligent transport systems 🛣️🌍. His research contributes significantly to the green energy transition, paving the way for smarter and more sustainable mobility solutions 🌱🧠.

🏅 Awards and Honors

Dr. Qi Zhang’s dedication to academic excellence has earned him numerous accolades 🌟. Recognized as an Outstanding Reviewer by top-tier journals like ISA Transactions and Electrical Engineering, he has demonstrated rigorous scholarly commitment and peer evaluation integrity 🧾🔍. His editorial leadership in special issues of Symmetry, Energies, Electrochem, and Electronics underlines his recognition as a thought leader in battery research and energy systems 🔋📘. In addition, his roles in professional societies, including IEEE membership and his inclusion in academic committees across Asia and Singapore 🇸🇬, affirm his influential standing. These honors reflect his consistent impact on the field and his dedication to collaborative progress in clean energy and vehicle electrification ⚡🚗.

🛠️ Research Skills

Dr. Zhang exhibits a diverse and sophisticated research skillset encompassing battery modeling, control system design, thermal analysis, and intelligent battery management 🧠💻. His proficiency in computational tools and system simulations allows him to address complex engineering challenges with precision. He is adept at leading multidisciplinary projects, organizing special issues, and reviewing for globally reputed journals, showcasing his editorial and analytical acumen 📈📝. Additionally, his technical expertise extends to data analysis, algorithm design, and hybrid energy systems, enabling impactful contributions in sustainable technology. With strong communication skills, project coordination capabilities, and collaborative leadership, Dr. Zhang bridges theory and application seamlessly. His combination of technical depth and academic influence positions him as a forward-thinking researcher and innovator 🌐🔬.

Publications Top Note 📝

  • Title: A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
    Authors: Q. Zhang, Y. Shang, Y. Li, N. Cui, B. Duan, C. Zhang
    Year: 2020
    Citations: 138
    Source: ISA Transactions, Vol. 97, pp. 448–457

  • Title: Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter
    Authors: B. Duan, Q. Zhang, F. Geng, C. Zhang
    Year: 2020
    Citations: 124
    Source: International Journal of Energy Research, Vol. 44(3), pp. 1724–1734

  • Title: Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter
    Authors: R. Zhu, B. Duan, J. Zhang, Q. Zhang, C. Zhang
    Year: 2020
    Citations: 109
    Source: Applied Energy, Vol. 277, Article 115494

  • Title: A sine-wave heating circuit for automotive battery self-heating at subzero temperatures
    Authors: Y. Shang, K. Liu, N. Cui, Q. Zhang, C. Zhang
    Year: 2019
    Citations: 95
    Source: IEEE Transactions on Industrial Informatics, Vol. 16(5), pp. 3355–3365

  • Title: Multicell-to-Multicell Equalizers Based on Matrix and Half-Bridge LC Converters for Series-Connected Battery Strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, Z. Zhou, C. Zhang
    Year: 2019
    Citations: 90
    Source: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8(2)

  • Title: A cell-to-cell equalizer based on three-resonant-state switched-capacitor converters for series-connected battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, C. Zhang
    Year: 2017
    Citations: 84
    Source: Energies, Vol. 10(2), Article 206

  • Title: An optimized mesh-structured switched-capacitor equalizer for lithium-ion battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, C. Zhang
    Year: 2018
    Citations: 79
    Source: IEEE Transactions on Transportation Electrification, Vol. 5(1), pp. 252–261

  • Title: Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
    Authors: Y. Shang, C. Zhu, G. Lu, Q. Zhang, N. Cui, C. Zhang
    Year: 2020
    Citations: 76
    Source: Journal of Power Sources, Vol. 450, Article 227435

  • Title: Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives
    Authors: X. Liu, C. Zhang, K. Li, Q. Zhang
    Year: 2017
    Citations: 72
    Source: ISA Transactions, Vol. 71, pp. 542–552

  • Title: Fractional calculus based modeling of open circuit voltage of lithium-ion batteries for electric vehicles
    Authors: Q. Zhang, N. Cui, Y. Li, B. Duan, C. Zhang
    Year: 2020
    Citations: 62
    Source: Journal of Energy Storage, Vol. 27, Article 100945

  • Title: An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles
    Authors: C. Zhang, Y. Kang, B. Duan, Z. Zhou, Q. Zhang, Y. Shang, A. Chen
    Year: 2021
    Citations: 55
    Source: IEEE Transactions on Industrial Electronics, Vol. 69(9), pp. 9121–9132

  • Title: Fractional-order modeling of lithium-ion batteries using additive noise assisted modeling and correlative information criterion
    Authors: M. Yu, Y. Li, I. Podlubny, F. Gong, Y. Sun, Q. Zhang, Y. Shang, B. Duan
    Year: 2020
    Citations: 52
    Source: Journal of Advanced Research, Vol. 25, pp. 49–56

  • Title: Optimal planning of electric vehicle charging stations considering user satisfaction and charging convenience
    Authors: D. Xu, W. Pei, Q. Zhang
    Year: 2022
    Citations: 43
    Source: Energies, Vol. 15(14), Article 5027

  • Title: A neural network fuzzy energy management strategy for hybrid electric vehicles based on driving cycle recognition
    Authors: Q. Zhang, X. Fu
    Year: 2020
    Citations: 42
    Source: Applied Sciences, Vol. 10(2), Article 696

  • Title: Parameter matching optimization of a powertrain system of hybrid electric vehicles based on multi-objective optimization
    Authors: X. Fu, Q. Zhang, J. Tang, C. Wang
    Year: 2019
    Citations: 32
    Source: Electronics, Vol. 8(8), Article 875

  • Title: Variable fractional order—A comprehensive evaluation indicator of lithium-ion batteries
    Authors: Y. Sun, Y. Li, M. Yu, Z. Zhou, Q. Zhang, B. Duan, Y. Shang, C. Zhang
    Year: 2020
    Citations: 31
    Source: Journal of Power Sources, Vol. 448, Article 227411

  • Title: Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis
    Authors: Z. Zhou, B. Duan, Y. Kang, Y. Shang, Q. Zhang, C. Zhang
    Year: 2022
    Citations: 30
    Source: IEEE Transactions on Industrial Electronics, Vol. 70(3), pp. 2576–2585

🏁 Conclusion

In conclusion, Dr. Qi Zhang is a distinguished scholar and researcher in the field of electric mobility and battery management 🌟. His expertise spans critical areas of lithium-ion battery systems, energy efficiency, and sustainable vehicle technology 🚗⚡. With a robust academic background, impactful editorial and professional roles, and a well-rounded skillset, he demonstrates all the qualities of a global research leader. His work not only advances scientific understanding but also contributes to the development of clean and intelligent transport solutions 🌍🛠️. Through consistent contributions to international journals, conferences, and collaborative networks, Dr. Zhang remains a key figure driving innovation in energy systems. He is exceptionally well-positioned for recognition such as the Best Researcher Award for his dedication, vision, and impact 🏅.

Isra Al-Shbeil | Pure Mathematics | Women Researcher Award

Assoc. Prof. Dr. Isra Al-shbeil | Pure Mathematics | Women Researcher Award

Associate professor at The university of Jordan, Jordan

Dr. Isra Alshbeil 🇯🇴🇨🇦 is a distinguished mathematician and educator whose expertise in complex analysis, elliptic zeta functions, and modular forms has made a notable impact in the global research arena 📚🔬. With a Ph.D. from the University of Ottawa and over 325 citations (H-index 14) 📈, she has authored influential publications in high-impact journals. Currently serving as an Associate Professor at the University of Jordan, she merges scholarly rigor with pedagogical excellence 👩‍🏫💡. Her academic journey spans teaching, research leadership, international conferences 🌍🎤, and committee service in curriculum development and quality assurance. A multi-award recipient, including the Ontario Graduate Scholarship, she exemplifies brilliance, resilience, and commitment to advancing mathematical sciences 🌟➗. With a passion for student-centered learning, digital innovation, and cross-border collaboration, Dr. Alshbeil inspires the next generation of women in STEM 👩‍🔬✨—a beacon of academic leadership and a powerful advocate for women in research.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓📘

Dr. Isra Alshbeil’s academic journey reflects a deep-rooted passion for mathematics and scholarly growth. She earned her Ph.D. in Pure Mathematics from the University of Ottawa 🇨🇦, specializing in complex analysis, elliptic zeta functions, and modular forms. Prior to this, she obtained her Master’s and Bachelor’s degrees in Mathematics from the University of Jordan 🇯🇴. Her academic pathway is marked by a pursuit of excellence, supported by prestigious scholarships and international research exposure. Dr. Alshbeil’s commitment to higher education has been unwavering, blending theory with innovation. Through continuous learning and cross-cultural academic immersion, she cultivated a solid foundation that enables her to contribute meaningfully to global mathematics education and research 🧠📝.

Professional Experience 🏫👩‍🏫

Dr. Alshbeil has forged a dynamic and progressive academic career across continents. She currently serves as an Associate Professor of Mathematics at the University of Jordan, where she guides undergraduate and graduate learners with clarity and enthusiasm. Her earlier experience includes lectureships at the University of Ottawa and Algonquin College in Canada, enhancing her versatility in diverse educational systems. She has chaired key academic committees focused on curriculum development, quality assurance, and program innovation. Dr. Alshbeil’s professional role spans teaching, mentoring, course design, and departmental leadership. Her engagement in both the Jordanian and Canadian educational landscapes has sharpened her ability to foster academic excellence and advocate for strategic educational reforms worldwide 🌐📚.

Research Interest 🔬📊

With a sharp analytical mind and a passion for theoretical exploration, Dr. Alshbeil’s research centers on complex analysis, particularly elliptic zeta functions and modular forms. Her work elegantly bridges intricate mathematical theories with real-world applications, contributing fresh perspectives to pure mathematics. Dr. Alshbeil’s scholarly outputs—published in high-ranking international journals—demonstrate intellectual rigor and originality. She is also invested in exploring fractal geometry and nonlinear functions, enhancing the depth and reach of her work. Her curiosity drives her to examine elegant mathematical relationships that transcend boundaries. Always seeking innovation, Dr. Alshbeil embraces collaborative research and interdisciplinary discussions, making her a thought leader in her niche and a contributor to the global mathematical discourse 🧮💫.

Awards and Honors 🏆🎖

Dr. Alshbeil’s academic distinction is decorated with prestigious awards and honors that spotlight her scholarly merit. She was the recipient of the Ontario Graduate Scholarship and the Excellence Scholarship from the University of Ottawa, both of which recognize academic brilliance and research potential. Her undergraduate achievements were equally commendable, as evidenced by multiple academic excellence awards. Dr. Alshbeil’s contributions have been recognized through funded research projects, international speaking invitations, and appointments to academic boards. These accolades reflect her sustained dedication, discipline, and determination in the face of competitive academia. Beyond personal recognition, her honors represent the rising influence of women mathematicians in the global research ecosystem 🌟📜.

Conclusion 🌺🌍

Dr. Isra Alshbeil epitomizes scholarly brilliance, educational leadership, and a resolute spirit. From her foundational years in Jordan to her academic triumphs in Canada, she has cultivated an inspiring global presence. Her work embodies a fusion of intellectual elegance and cultural versatility. As a researcher, educator, and mentor, she consistently uplifts others while advancing the frontiers of pure mathematics. With a compassionate heart and a brilliant mind, she advocates for empowering women in STEM and fostering inclusive academic environments. Dr. Alshbeil’s journey serves as a luminous example of what resilience, intellect, and purpose can achieve in the world of science and education 💖🧠✨.

Publications Top Notes

🔹 Title: Properties of q-symmetric starlike functions of Janowski type
✍️ Authors: A. Saliu, I. Al-Shbeil, J. Gong, S. N. Malik, N. Aloraini
📅 Year: 2022
📈 Citations: 29
📚 Source: Symmetry, 14(9), 1907


🔹 Title: Second Hankel Determinant for the Subclass of Bi-Univalent Functions Using q-Chebyshev Polynomial and Hohlov Operator
✍️ Authors: A. C. Isra Al-Shbeil, Timilehin Gideon Shaba
📅 Year: 2022
📈 Citations: 25
📚 Source: Fractals and Fractional, 6(186), 1–19


🔹 Title: Radius and Differential Subordination Results for Starlikeness Associated with Limaçon Class
✍️ Authors: A. C. Afis Saliu, Kanwal Jabeen, Isra Al-Shbeil, Semiu Oladipupo Oladejo
📅 Year: 2022
📈 Citations: 21
📚 Source: Journal of Function Spaces


🔹 Title: Hankel and Symmetric Toeplitz Determinants for a New Subclass of q-Starlike Functions
✍️ Authors: I. Al-Shbeil, J. Gong, S. Khan, N. Khan, A. Khan, M. F. Khan, A. Goswami
📅 Year: 2022
📈 Citations: 19
📚 Source: Fractals and Fractional, 6(11), Article 658


🔹 Title: Coefficients Inequalities for the Bi-Univalent Functions Related to q-Babalola Convolution Operator
✍️ Authors: I. Al-Shbeil, J. Gong, T. G. Shaba
📅 Year: 2023
📈 Citations: 18
📚 Source: Fractals and Fractional, 7(2), Article 155


🔹 Title: A New COVID-19 Pandemic Model Including the Compartment of Vaccinated Individuals: Global Stability of the Disease-Free Fixed Point
✍️ Authors: I. Al-Shbeil, N. Djenina, A. Jaradat, A. Al-Husban, A. Ouannas, G. Grassi
📅 Year: 2023
📈 Citations: 18
📚 Source: Mathematics, 11(3), 576


🔹 Title: Applications of Beta Negative Binomial Distribution and Laguerre Polynomials on Ozaki Bi-Close-to-Convex Functions
✍️ Authors: A. C. Isra Al-Shbeil, Abbas Kareem Wanas, Afis Saliu
📅 Year: 2022
📈 Citations: 17
📚 Source: Axioms, 11(9)


🔹 Title: Some Geometrical Results Associated with Secant Hyperbolic Functions
✍️ Authors: S. O. O. Isra Al-Shbeil, Afis Saliu, Adriana Catas, Sarfraz Nawaz Malik
📅 Year: 2022
📈 Citations: 16
📚 Source: Mathematics, 10(15)


🔹 Title: On q-Limaçon Functions
✍️ Authors: A. Saliu, K. Jabeen, I. Al-Shbeil, N. Aloraini, S. N. Malik
📅 Year: 2022
📈 Citations: 13
📚 Source: Symmetry, 14(11), 2422


🔹 Title: Coefficient Bounds for a Family of s-Fold Symmetric Bi-Univalent Functions
✍️ Authors: I. Al-Shbeil, N. Khan, F. Tchier, Q. Xin, S. N. Malik, S. Khan
📅 Year: 2023
📈 Citations: 12
📚 Source: Axioms, 12(4), 317


🔹 Title: Applications of the Symmetric Quantum-Difference Operator for New Subclasses of Meromorphic Functions
✍️ Authors: I. Al-Shbeil, S. Khan, H. AlAqad, S. Alnabulsi, M. F. Khan
📅 Year: 2023
📈 Citations: 6
📚 Source: Symmetry, 15(7), 1439


🔹 Title: Coefficient Bounds for a Certain Family of Biunivalent Functions Defined by Gegenbauer Polynomials
✍️ Authors: I. Al-Shbeil, A. K. Wanas, A. Benali, A. Cătaş
📅 Year: 2022
📈 Citations: 6
📚 Source: Journal of Mathematics, 2022(1), 6946424


🔹 Title: Applications of Horadam Polynomials for Bazilevič and λ-Pseudo-Starlike Bi-Univalent Functions Associated with Sakaguchi Type Functions
✍️ Authors: I. Al-Shbeil, A. K. Wanas, H. AlAqad, A. Cătaş, H. Alohali
📅 Year: 2024
📈 Citations: 5
📚 Source: Symmetry, 16(2), 218


🔹 Title: The Properties of Meromorphic Multivalent q-Starlike Functions in the Janowski Domain
✍️ Authors: I. Al-Shbeil, J. Gong, S. Ray, S. Khan, N. Khan, H. AlAqad
📅 Year: 2023
📈 Citations: 5
📚 Source: Fractal and Fractional, 7(6), 438


🔹 Title: Refinements of the Euclidean Operator Radius and Davis–Wielandt Radius-Type Inequalities
✍️ Authors: T. Hamadneh, M. W. Alomari, I. Al-Shbeil, H. AlAqad, R. Hatamleh, A. S. Heilat, …
📅 Year: 2023
📈 Citations: 5
📚 Source: Symmetry, 15(5), 1061


🔹 Title: Elliptic Zeta Functions and Equivariant Functions
✍️ Authors: I. A. Abdellah Sebbar
📅 Year: 2018
📈 Citations: 5
📚 Source: Canadian Mathematical Bulletin, 61(2), 376–389


🔹 Title: On the Two-Fold Maximal Units in Some Two-Fold Finite Neutrosophic Rings Modulo Integers for 2 ≤ n ≤ 5
✍️ Authors: I. Al-Shbeil, I. A. Falahah, T. Alkhouli, A. S. Rashed Alhawiti, J. Shtayat, …
📅 Year: 2025
📈 Citations: 4
📚 Source: International Journal of Neutrosophic Science (IJNS), 25(2)

Asma Iqbal | Mathematical Modeling | Best Researcher Award

Assist. Prof. Dr. Asma Iqbal | Mathematical Modeling | Best Researcher Award

Assistant Professor at National Institute of Technology, Srinagar , India.

Dr. Asma Iqbal, 🎓 Assistant Professor of Chemical Engineering at NIT Srinagar, is a dynamic researcher specializing in distillation-based separation, process simulation, and wastewater treatment. 💧 With a Ph.D. from AMU and post-doctoral work at IIT Kanpur, she boasts 10+ high-impact publications in renowned journals like Chemosphere and Separation and Purification Technology 📚. Dr. Iqbal has received numerous accolades, including Best Paper Awards 🏅 and Gold Medals 🥇, and is actively collaborating with international institutes such as MIT and Coventry University 🌍. She blends research with societal impact through projects like IoT-based crop irrigation systems 🌱 and Dal Lake pollution remediation. An inspiring mentor, she guides multiple Ph.D. and undergraduate projects and has delivered keynote talks across India. 💡 Adept with simulation tools like Aspen Plus and MATLAB, Dr. Iqbal exemplifies academic excellence, innovation, and community service, making her a distinguished candidate for the Best Researcher Award. 🏆

Professional Profile 

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Education 🎓📘🧠

Dr. Asma Iqbal holds a Ph.D. in Chemical Engineering from the prestigious Aligarh Muslim University, where she earned accolades for her academic excellence. Her journey began with a B.Tech from NIT Srinagar, where she graduated with distinction and ranked third in her class 🏅. She further pursued her M.Tech at AMU, earning a gold medal for topping the university with an outstanding CGPA of 9.556 🥇. Her schooling years in Kashmir were equally remarkable, as she consistently achieved distinction honors 🧑‍🏫📖. Throughout her educational trajectory, she cultivated a deep passion for complex chemical processes, process design, and energy-efficient technologies. Her multidisciplinary foundation, combining theoretical depth and computational expertise, set the stage for a vibrant career in research and academia. With each academic milestone, Dr. Iqbal not only excelled personally but also laid the groundwork for making impactful contributions to sustainable chemical engineering 🌿🔍.

Professional Experience 🏢🧪

Dr. Asma Iqbal has an extensive and dynamic professional background rooted in both teaching and research. She currently serves as an Assistant Professor at NIT Srinagar, where she has been instrumental since March 2020. Her previous academic engagements include a post-doctoral fellowship at IIT Kanpur, where she worked on enhanced distillation systems under the mentorship of Dr. Nitin Kaistha 🔬🔄. Dr. Iqbal has also held academic positions at AMU and the Islamic University of Science and Technology, making her teaching experience diverse and interdisciplinary 🌐🧑‍🎓. In addition to classroom excellence, she has guided numerous B.Tech and internship projects on wastewater treatment, simulation, and bioenergy 🌍💡. Her administrative contributions include NBA accreditation coordination, lab supervision, and digital asset management at NIT. This combination of practical mentorship, high-impact research, and leadership in academic governance reflects her commitment to shaping the next generation of chemical engineers 🚀📋.

Research Interests 🧪🔬♻️

Dr. Asma Iqbal’s research pursuits are rooted in sustainable process engineering and advanced separation technologies. Her core expertise lies in azeotropic distillation, pressure swing distillation, and process intensification, using cutting-edge tools like Aspen Plus and DWSIM 🧬🧑‍💻. She explores simulation-driven conceptual design of chemical processes, energy optimization through heat integration, and circular economy strategies for industrial waste treatment 🌀🌍. Her research also branches into IoT-integrated agriculture systems, specifically focusing on smart irrigation for saffron cultivation, blending chemical engineering with digital innovation 🌾📲. Recently, she has explored adsorption techniques using microplastics for water purification and worked on Dal Lake restoration, aligning her work with environmental sustainability goals 💧🌿. Her scholarly contributions are frequently published in high-impact journals, and her collaborative spirit connects her with top institutions worldwide. Dr. Iqbal’s interdisciplinary lns, from perfumes to semiconductors, exemplifies a forward-thinking, solution-driven research philosophy 🚀📚.

Awards and Honors 🏆📜🌟

Dr. Asma Iqbal has received numerous accolades throughout her academic and professional career, reflecting her unwavering excellence and commitment to innovation. Among her top distinctions are the University Gold Medal in M.Tech and the DST INSPIRE Fellowship for doctoral research, awarded to top-tier scholars in India 🥇🔍. She has been honored with Best Paper Awards at international conferences hosted by reputed institutions such as Cranfield University and Kashmir University. Recognized for her global collaboration, she received a Certificate of Excellence from Universiti Teknologi Petronas, Malaysia for her role as a reviewer ✍️🌐. Additionally, she serves as a mentor for national initiatives like the Smart India Hackathon and has presented keynote addresses in high-level academic workshops 🗣️👩‍🏫. Her scholarly memberships with IIChE, IEI, and an international society based in the UK underscore her contributions on both national and international stages 🌍📈. Each award amplifies her influence in advancing chemical engineering.

Conclusion 🌟🎯

Dr. Asma Iqbal embodies the synthesis of academic rigor, technological innovation, and sustainable engineering. With a robust educational pedigree, extensive teaching experience, and a prolific research portfolio, she has established herself as a thought leader in chemical process design and environmental solutions 🌐💡. Her journey reflects a balance of theoretical insight and practical application—from designing advanced distillation columns to implementing IoT in agriculture. An advocate for clean technologies, she actively contributes to the circular economy, water purification, and resource-efficient systems 🌿💧. Dr. Iqbal’s collaborative mindset, combined with her mentoring and administrative leadership, positions her as a catalyst for academic transformation. As she continues to inspire students, drive cutting-edge research, and contribute to global sustainability dialogues, her work remains a beacon of excellence in the chemical engineering community 🧪🚀📚.

Publications Top Notes 

Title: Revolutionizing perfume creation: PTD’s innovative approach
Authors: Asma Iqbal, Mohammad Amil Bhat, Qazi Muneeb, Muazam Javid
Year: 2025
Citations: — (New publication, citation data pending)
Source: Digital Chemical Engineering (Open Access)

Title: Pressure swing distillation of azeotropic mixture–A simulation study
Authors: Asma Iqbal, S.A. Ahmad
Year: 2016
Citations: 34
Source: Perspectives in Science, Volume 8, Pages 4–6

Title: Design and control of an energy-efficient alternative process for separation of Dichloromethane-Methanol binary azeotropic mixture
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 25
Source: Separation and Purification Technology, Volume 219, Pages 137–149

Title: Entrainer based economical design and plantwide control study for Tetrahydrofuran/Water separation process
Authors: Asma Iqbal, S.A. Ahmad
Year: 2018
Citations: 21
Source: Chemical Engineering Research and Design, Volume 130, Pages 274–283

Title: Strategies for separating pressure sensitive binary azeotropes
Authors: Asma Iqbal, S.A. Ahmad
Year: 2022
Citations: 8
Source: Journal of King Saud University – Engineering Sciences, Volume 34(2), Pages 88–97

Title: Appropriate selections of distillation column control variable to improve integrating material recycle response
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 5
Source: Journal of King Saud University – Engineering Sciences, Volume 31(2), Pages 106–113

Title: Design of an IoT-based saffron crop irrigation system
Authors: Asma Iqbal, S.A.A. Taqvi, J. Asim, Q. Muneeb, G. Mahajan, R. Sambyal, S. Anand
Year: 2024
Citations: 3
Source: Industrial Crops and Products, Volume 212, Article 118350

Title: Energy-efficient and cost-effective alternative separation techniques for 2-methoxyethanol–toluene azeotropic mixture: Design and control studies
Authors: Asma Iqbal, M.A. Qyyum, A.S. Nizami, S.A. Ahmad, M. Lee
Year: 2021
Citations: 3
Source: Chemical Engineering and Processing – Process Intensification, Volume 163, Article 108376

 

 

 

 

 

 

Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

Dr. Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

Electrical Engineering Lecturer at Liverpool John Moores University, United Kingdom

Dr. Mohamed Etarhouni is an accomplished lecturer and researcher in Electrical and Electronic Engineering 🌍. With a PhD specializing in renewable energy systems, his innovative work on optimizing solar PV systems 🏞️ has been published in top journals like IEEE and Elsevier. Boasting over 8 years of teaching experience 📚, he excels in integrating modern tools such as MATLAB-Simulink, Proteus, and Mobius to create engaging, hybrid learning environments. His passion for student development is evident through his commitment to inclusive education and ongoing professional growth, including a PGCert in Teaching in Higher Education 🎓. Dr. Etarhouni’s contributions extend beyond teaching, as he actively participates in academic conferences, peer reviewing, and fostering interdisciplinary research. Recognized for his exceptional teaching and scholarly achievements 🏆, he is a forward-thinking academic whose work bridges the gap between theory and practical solutions in the rapidly evolving field of renewable energy.

Professional Profile

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Education 🎓

Dr. Mohamed Etarhouni’s educational journey showcases a blend of academic excellence and practical application. He earned his PhD in Electrical and Electronic Engineering from the University of Leeds, where he focused on developing advanced techniques for maximizing power extraction from solar photovoltaic (PV) systems, particularly under partial shading conditions 🌞. In addition, he holds an MSc in Electrical Engineering & Renewable Energy Systems with distinction from the University of Leeds, where he demonstrated outstanding performance in his field. Currently, he is further advancing his teaching expertise by pursuing a PGCert in Teaching in Higher Education at Keele University, continuing his passion for educational innovation 📚. His strong educational foundation enables him to deliver effective and forward-thinking teaching strategies while also contributing to research and technology development in renewable energy.

Professional Experience 💼

Dr. Etarhouni brings over 8 years of experience in academia, having taught at respected institutions such as Liverpool John Moores University, Teesside University, and the Open University. He has designed and delivered courses in a variety of areas, including electronics, power electronics, embedded systems, and electrical circuits ⚡. Dr. Etarhouni integrates cutting-edge technologies like Canvas, MATLAB-Simulink, and Mobius to enhance the learning experience for students, ensuring they acquire the practical skills needed in the rapidly evolving field of electrical engineering. His expertise is not limited to teaching; he has supervised both undergraduate and postgraduate students, guiding them through research projects that bridge theory and real-world applications. Dr. Etarhouni’s collaborative research with the University of Leeds in power electronics and renewable energy continues to fuel his passion for both education and sustainable technology 🌍.

Research Interest 🔬

Dr. Etarhouni’s primary research interest lies in optimizing renewable energy systems, specifically solar power technologies. His work on improving the performance of solar PV systems through advanced optimization techniques—particularly in partial shading scenarios—has set him apart in his field. He has pioneered innovations such as Series-Parallel Differential Power Processing (SP-DPP) converters and fuzzy logic-based control systems, all designed to maximize energy extraction from solar arrays 🌞. His research also delves into the integration of renewable energy systems with power electronics, aiming to improve overall system efficiency and reliability. His work in this area has been published in prominent journals, and he continues to explore new configurations to enhance the practicality and scalability of renewable energy solutions, contributing significantly to the global push toward sustainable energy sources 🌱.

Awards and Honors 🏅

Dr. Etarhouni’s dedication to both research and teaching has earned him numerous accolades. He was awarded the Best Paper Award at the IEEE Renewable Energy Congress for his groundbreaking work on solar PV technologies, and his teaching excellence has been recognized with multiple Teaching Recognition Certificates from Liverpool John Moores University 🏆. His contributions to higher education and research were further acknowledged when he received an Exemplar Recognition from Keele University for his innovative approaches to teaching. As a Fellow of the Higher Education Academy (FHEA), Dr. Etarhouni demonstrates a strong commitment to maintaining high teaching standards. His active role as a session chair and peer reviewer at international conferences highlights his prominent position within the academic community, and his continuous professional development reflects his dedication to furthering his expertise in both pedagogy and engineering 🌟.

Conclusion 🌟

Dr. Mohamed Etarhouni stands out as an academic and researcher whose work consistently bridges the gap between cutting-edge renewable energy solutions and effective teaching methodologies. His contributions to optimizing solar energy systems are setting new standards in the field of renewable energy, while his dedication to education is fostering the growth of future engineers. As a published researcher and award-winning educator, Dr. Etarhouni’s innovative approach to both teaching and research continues to influence the academic and engineering communities. With his ongoing commitment to professional development and research, Dr. Etarhouni is poised to remain a key figure in advancing sustainable energy solutions and educational excellence 🌍⚡.

Publications Top Notes

🌞 Design of Novel Differential Power Processing Scheme for Small-Scale PV Array Application Operating Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Hiroshan Puvanendra Moorthy, Benjamin Chong
Year: 2024
Source: Computers and Electrical Engineering
DOI: 10.1016/j.compeleceng.2024.109254
This paper discusses a novel power processing scheme 🛠️ designed for small-scale photovoltaic (PV) arrays under partial shading conditions 🌥️, which are common in solar energy systems. The scheme aims to maximize the output power and enhance system efficiency by addressing shading effects.


Control of Cascaded PV-Ćuk Converter Modules by Particle Swarm Optimization Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Benjamin Chong
Year: 2023
Source: World Congress on Electrical Engineering and Computer Systems and Science
DOI: 10.11159/eee23.107
This study explores the optimization 🔧 of Cascaded PV-Ćuk converters using particle swarm optimization 🐝, particularly under partial shading 🌑 conditions. It introduces an innovative control strategy to improve the performance of photovoltaic systems during shaded conditions.


🌞 A Combined Scheme for Maximising the Output Power of a Photovoltaic Array Under Partial Shading Conditions

Authors: Mohamed Etarhouni
Year: 2022
Source: Sustainable Energy Technologies and Assessments
DOI: 10.1016/j.seta.2021.101878
The article presents a combined scheme 🛠️ designed to maximize output power from a photovoltaic array under partial shading 🌤️ conditions. This method enhances the power extraction capabilities of PV systems, addressing common challenges in solar energy applications.


🌅 A Novel Square Algorithm for Maximising the Output Power from a Partially Shaded Photovoltaic Array System

Authors: Mohamed Etarhouni
Year: 2022
Source: Optik
DOI: 10.1016/j.ijleo.2022.168870
This paper introduces a novel square algorithm 💡 for optimizing power output from partially shaded photovoltaic systems. It aims to mitigate the effects of shading 🌒 on solar energy production, improving overall system efficiency 🌞.


🔋 Series-Parallel Differential Power Processing Scheme for Maximised Power Extraction from Mismatched Photovoltaic Panels

Authors: Mohamed Etarhouni
Year: 2020
Source: 10th International Conference on Power Electronics, Machines and Drives (PEMD)
This conference paper presents a series-parallel differential power processing scheme 🔋 to maximize power extraction from mismatched PV panels under varying conditions. The innovative scheme improves solar energy generation efficiency despite mismatch between panels.


🌞 Optimal Design of Series-Parallel Differential Power Processing Converters for Photovoltaic Array Energy Systems

Authors: Mohamed Etarhouni
Year: 2020
Source: 37th European Photovoltaic Solar Energy Conference and Exhibition
This work focuses on the optimal design 🛠️ of series-parallel differential power processing converters aimed at improving energy efficiency in solar power systems. The design optimizes power management in photovoltaic arrays, reducing energy loss due to shading or mismatch.


Review of PV Array Interconnection Schemes for Maximum Power Operation Under Partial Shading

Authors: Mohamed Etarhouni
Year: 2019
Source: 36th European Photovoltaic Solar Energy Conference and Exhibition
DOI: 10.4229/EUPVSEC20192019-5BO.5.6
This paper offers a comprehensive review 📚 of various PV array interconnection schemes designed to ensure maximum power output under partial shading conditions. It evaluates techniques for overcoming common solar energy challenges related to shading and array configuration.


🌅 A PV Array Reconfiguration Algorithm for Minimising Partial Shading Effects

Authors: Mohamed Etarhouni
Year: 2019
Source: 2019 10th International Renewable Energy Congress (IREC)
DOI: 10.1109/irec.2019.8754602
The paper introduces a reconfiguration algorithm 🔄 for photovoltaic arrays, aimed at minimizing the effects of partial shading 🌦️. The algorithm focuses on optimal array configuration, boosting power extraction by reducing the impact of shading on solar panels.

Ali Akbar Yazdan Pour | Algebra | Best Researcher Award

Dr. Ali Akbar Yazdan Pour | Algebra | Best Researcher Award

Assistant Professor at Institute for Advanced Studies In Basic Sciences, Iran

Dr. Ali Akbar Yazdan Pour is an accomplished mathematician specializing in commutative algebra, algebraic geometry, and combinatorial commutative algebra. He holds a Ph.D. in Mathematics from the Institute for Advanced Studies in Basic Sciences (IASBS), Iran, and Université de Grenoble I, France. Currently serving as the Head of the Mathematics Department at IASBS, he has been an assistant professor since 2013. Dr. Yazdan Pour has an extensive research portfolio with numerous publications in high-impact journals and active participation in international awards. He has also contributed significantly to academic development by organizing research schools and workshops. His achievements include winning the Prof. Abbas Riazi Kermani Prize for the best article at the 54th Annual Iranian Mathematics Conference. With strong teaching credentials, experience in computational tools, and multilingual proficiency, he stands out as a distinguished researcher and educator in his field.

Professional Profile 

Education

Dr. Ali Akbar Yazdan Pour has a strong academic background in mathematics, earning his Ph.D. from the Institute for Advanced Studies in Basic Sciences (IASBS), Iran, in collaboration with Université de Grenoble I, France. His doctoral research focused on “Resolution and Castelnuovo-Mumford Regularity,” supervised by Marcel Morales and Rashid Zaare-Nahandi. Prior to his Ph.D., he completed his M.Sc. in Mathematics at IASBS, where he worked on “Simplicial Complexes and Their Cohen-Macaulay Properties.” He obtained his B.Sc. in Applied Mathematics from Shiraz University, Iran, following his high school diploma in Mathematics and Physics. His academic journey is marked by excellence, securing the top rank in the Ph.D. entrance exam at Tarbiat Modares University. With a solid foundation in algebraic structures, topology, and computational methods, Dr. Yazdan Pour has built a distinguished career in mathematical research, contributing to the advancement of commutative algebra and algebraic geometry.

Professional Experience

Dr. Yazdan Pour has an extensive professional career in academia and research. He is currently the Head of the Department of Mathematics at IASBS, where he has served as an assistant professor since 2013. His teaching expertise spans graduate and undergraduate courses, including commutative algebra, homological algebra, computational algebra, and algebraic geometry. Beyond teaching, he has played an active role in organizing mathematical awards, summer schools, and research seminars, contributing to the growth of the mathematical community. His commitment to fostering research collaborations is evident in his participation in international workshops and research schools, where he has delivered lectures and presented his work. Additionally, he has been involved in various scientific committees and has mentored graduate students. His contributions to research, education, and academic leadership make him a vital figure in advancing mathematical sciences, particularly in the areas of algebraic structures and combinatorial commutative algebra.

Research Interests

Dr. Yazdan Pour’s research interests lie at the intersection of commutative algebra, algebraic geometry, and combinatorial commutative algebra. His work focuses on computational methods in algebra, homological properties of monomial ideals, and the structural behavior of algebraic and combinatorial objects. He has extensively studied simplicial complexes, Castelnuovo-Mumford regularity, and free resolutions, leading to significant contributions in the field. His research explores the algebraic and geometric aspects of hypergraphs and monomial ideals, contributing to computational algebra techniques. His numerous publications in high-impact journals reflect his dedication to advancing mathematical knowledge, and his international collaborations demonstrate his ability to work across different domains. Through his research, he seeks to develop new theoretical frameworks and computational tools to solve complex problems in algebra and geometry, making valuable contributions to both pure and applied mathematics.

Awards and Honors

Dr. Yazdan Pour has been recognized for his outstanding contributions to mathematics with several awards and honors. He was the recipient of the prestigious Prof. Abbas Riazi Kermani Prize for the best article at the 54th Annual Iranian Mathematics Conference (2024), highlighting his exceptional research impact. He also secured first place in the Ph.D. entrance exam at Tarbiat Modares University, demonstrating his academic excellence. Throughout his career, he has received multiple financial supports and scholarships from institutions such as CIMPA, the French government, and the University of Barcelona, allowing him to participate in esteemed research schools worldwide. His commitment to advancing mathematics through teaching, research, and scholarly contributions has earned him a distinguished reputation in the mathematical community. His achievements underscore his role as a leading researcher, mentor, and educator, continually shaping the future of mathematical sciences.

Conclusion

Dr. Ali Akbar Yazdan Pour is a dedicated mathematician whose contributions to commutative algebra and algebraic geometry have made a significant impact on the field. With a strong academic foundation, extensive research publications, and active participation in international mathematical communities, he stands as a prominent figure in his domain. His leadership as Head of the Mathematics Department at IASBS and his efforts in organizing research events demonstrate his commitment to fostering mathematical education and collaboration. His numerous awards, including the Prof. Abbas Riazi Kermani Prize, further solidify his reputation as a leading researcher. As an educator, he has mentored students and taught advanced mathematical courses, shaping future generations of mathematicians. His work continues to influence theoretical and computational advancements in algebra and geometry, positioning him as an invaluable contributor to the global mathematical community.

Publications Top Noted

  • Stability of Betti numbers under reduction processes: Towards chordality of clutters
    Authors: M. Bigdeli, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2017
    Citations: 22
    Source: Journal of Combinatorial Theory, Series A

  • Monomial ideals with 3-linear resolutions
    Authors: M. Morales, A. Nasrollah Nejad, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2014
    Citations: 19
    Source: Annales de la Faculté des sciences de Toulouse: Mathématiques

  • The regularity of edge ideals of graphs
    Authors: M. Morales, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2012
    Citations: 15
    Source: Journal of Pure and Applied Algebra

  • Simplicial orders and chordality
    Authors: M. Bigdeli, J. Herzog, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2017
    Citations: 11
    Source: Journal of Algebraic Combinatorics

  • Decomposable clutters and a generalization of Simon’s conjecture
    Authors: M. Bigdeli, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2019
    Citations: 10
    Source: Journal of Algebra

  • Candidates for nonzero Betti numbers of monomial ideals
    Author: A. A. Yazdan Pour
    Year: 2017
    Citations: 9
    Source: Communications in Algebra

  • Regularity and free resolution of ideals which are minimal to d-linearity
    Authors: M. Morales, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2016
    Citations: 9
    Source: Mathematica Scandinavica

  • Cellular resolutions of monomial ideals and their Artinian reductions
    Authors: S. Faridi, M. D. G. F. D. Ghorbani, R. Ghorbani, A. A. Yazdan Pour
    Year: 2024
    Citations: 6
    Source: Journal of Pure and Applied Algebra

  • Multigraded minimal free resolutions of simplicial subclutters
    Authors: M. Bigdeli, A. A. Yazdan Pour
    Year: 2021
    Citations: 5
    Source: Journal of Combinatorial Theory, Series A

  • Positive matching decompositions of graphs
    Authors: M. F. D. G., S. Gharakhloo, A. A. Yazdan Pour
    Year: 2022
    Citations: 4
    Source: Discrete Applied Mathematics

  • Shedding vertices and Ass-decomposable monomial ideals
    Authors: R. Jafari, A. A. Yazdan Pour
    Year: 2021
    Citations: 4
    Source: arXiv preprint

  • Two results on the regularity of monomial ideals
    Authors: A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2013
    Citations: 3
    Source: 10th Seminar on Commutative Algebra and Related Topics

  • On the blowup of affine spaces along monomial ideals: Tameness
    Authors: A. Nasrollah Nejad, A. Nikseresht, A. A. Yazdan Pour, R. Zaare-Nahandi
    Year: 2019
    Citations: 2
    Source: Journal of Symbolic Computation

  • Extending simplicial complexes: Topological and combinatorial properties
    Authors: M. F. D. G., A. Shamsian, A. A. Yazdan Pour
    Year: 2025
    Citations: Not available
    Source: Discrete Mathematics

  • Positive matching decompositions of the Cartesian product of graphs
    Authors: M. F. D. G., A. A. Yazdan Pour
    Year: 2025
    Citations: Not available
    Source: arXiv preprint

 

Mohammed Hussein | Applied Mathematics | Best Researcher Award

Prof. Mohammed Hussein | Applied Mathematics | Best Researcher Award

Academia at University of Baghdad, Iran

Dr. Mohammed Sabah Hussein is a distinguished Professor of Applied Mathematics at the University of Baghdad, College of Science, with a Ph.D. from the University of Leeds. With 18 years of teaching and research experience, his expertise spans inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He has made significant contributions to academia, mentoring postgraduate students and serving in leadership roles, including Head of the Mathematics Department. Dr. Hussein has an impressive publication record in high-impact journals and actively participates in international research collaborations. His academic reputation is reflected in his H-index rankings across Google Scholar, Scopus, and Clarivate. As a member of several professional societies and editorial boards, he is dedicated to advancing applied mathematics. His technical proficiency in MATLAB, Mathematica, and LaTeX, coupled with his extensive research on solving complex mathematical problems, makes him a leading figure in his field.

Professional Profile 

Google Scholar
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ORCID Profile

Education

Dr. Mohammed Sabah Hussein earned his Ph.D. in Applied Mathematics from the University of Leeds, where he specialized in inverse problems for heat equations and numerical analysis. Prior to that, he obtained his Master’s and Bachelor’s degrees in Mathematics from the University of Baghdad, demonstrating early excellence in mathematical modeling and computational techniques. His academic journey has been marked by a strong foundation in mathematical theories, which he later expanded through advanced research in applied mathematics and fluid dynamics. Throughout his education, Dr. Hussein actively engaged in research projects that enhanced his expertise in solving complex mathematical problems, particularly in heat transfer and differential equations. His exposure to international academic environments enriched his analytical skills and deepened his understanding of mathematical applications in real-world scenarios. His educational background continues to influence his teaching and research, enabling him to contribute significantly to mathematical sciences and mentor future scholars in applied mathematics.

Professional Experience

Dr. Mohammed Sabah Hussein is a Professor of Applied Mathematics at the University of Baghdad, College of Science, with 18 years of experience in teaching and research. He has held several academic leadership roles, including serving as Head of the Mathematics Department, where he played a crucial role in curriculum development and faculty mentoring. Over the years, he has supervised numerous postgraduate students, guiding them in advanced mathematical research. Dr. Hussein has collaborated with international institutions on cutting-edge research projects in applied mathematics, enhancing interdisciplinary studies. He has also served as a reviewer and editorial board member for prestigious mathematical journals, contributing to the peer-review process. His expertise in numerical methods, fluid dynamics, and inverse problems has led him to participate in global awards and workshops, where he shares his insights with the academic community. His commitment to research and education solidifies his standing as a leading mathematician.

Research Interest

Dr. Mohammed Sabah Hussein’s research focuses on inverse problems for heat equations, numerical analysis, fluid dynamics, and mathematical modeling. He specializes in solving complex differential equations that arise in real-world applications, particularly in heat transfer and fluid mechanics. His work extends to computational techniques using MATLAB and Mathematica, where he develops algorithms for accurate numerical solutions. Dr. Hussein is also interested in optimization methods and their applications in engineering and physical sciences. His research has contributed to advancements in thermal analysis and industrial processes, demonstrating the practical impact of applied mathematics. Additionally, he collaborates on interdisciplinary projects that integrate mathematics with physics and engineering, broadening the scope of mathematical applications. His publications in high-impact journals reflect his dedication to innovative mathematical research, and his continued exploration of numerical simulations and mathematical modeling ensures his contributions remain at the forefront of applied mathematics advancements.

Awards and Honors

Dr. Mohammed Sabah Hussein has received several prestigious awards and honors for his outstanding contributions to applied mathematics. His research excellence has been recognized with accolades from national and international academic institutions. He has been honored for his high-impact publications and has received grants for his work in mathematical modeling and numerical analysis. Dr. Hussein’s influence in academia is further demonstrated by his strong citation record and H-index rankings in Google Scholar, Scopus, and Clarivate. He has been invited as a keynote speaker at global awards and has received recognition for his mentorship of postgraduate students. His role in advancing mathematical sciences has been acknowledged through memberships in esteemed mathematical societies and editorial boards of reputed journals. These honors reflect his dedication to academic excellence and his influence on the broader mathematical research community.

Conclusion

Dr. Mohammed Sabah Hussein is a highly respected mathematician whose expertise in applied mathematics has significantly impacted academia and research. With a strong educational background and extensive professional experience, he has contributed to solving complex mathematical problems through advanced numerical analysis and modeling. His dedication to mentoring students, publishing high-impact research, and collaborating internationally highlights his commitment to the mathematical sciences. His awards and honors reflect his scholarly influence and contributions to mathematical research. As a professor, researcher, and mentor, Dr. Hussein continues to advance applied mathematics, ensuring its relevance in solving real-world challenges. His work in inverse problems, fluid dynamics, and computational methods cements his reputation as a leader in the field. Through his academic and research endeavors, he remains dedicated to pushing the boundaries of mathematical knowledge and inspiring future generations of mathematicians.

Publications Top Noted

1. Simultaneous determination of time-dependent coefficients in the heat equation

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov
Year: 2014
Citations: 61
Source: Computers & Mathematics with Applications, 67(5), 1065-1091

2. An inverse problem of finding the time‐dependent diffusion coefficient from an integral condition

Authors: M. S. Hussein, D. Lesnic, M. I. Ismailov
Year: 2016
Citations: 49
Source: Mathematical Methods in the Applied Sciences, 39(5), 963-980

3. Reconstruction of time-dependent coefficients from heat moments

Authors: M. J. Huntul, D. Lesnic, M. S. Hussein
Year: 2017
Citations: 45
Source: Applied Mathematics and Computation, 301, 233-253

4. Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 38
Source: Communications in Nonlinear Science and Numerical Simulation, 33, 194-217

5. Multiple time-dependent coefficient identification thermal problems with a free boundary

Authors: M. S. Hussein, D. Lesnic, M. I. Ivanchov, H. A. Snitko
Year: 2016
Citations: 37
Source: Applied Numerical Mathematics, 99, 24-50

6. Direct and inverse source problems for degenerate parabolic equations

Authors: M. S. Hussein, D. Lesnic, V. L. Kamynin, A. B. Kostin
Year: 2020
Citations: 35
Source: Journal of Inverse and Ill-Posed Problems, 28(3), 425-448

7. Simultaneous determination of time-dependent coefficients and heat source

Authors: M. S. Hussein, D. Lesnic
Year: 2016
Citations: 24
Source: International Journal for Computational Methods in Engineering Science and Mechanics

8. Identification of the time-dependent conductivity of an inhomogeneous diffusive material

Authors: M. S. Hussein, D. Lesnic
Year: 2015
Citations: 24
Source: Applied Mathematics and Computation, 269, 35-58

9. Determination of a time-dependent thermal diffusivity and free boundary in heat conduction

Authors: M. S. Hussein, D. Lesnic
Year: 2014
Citations: 23
Source: International Communications in Heat and Mass Transfer, 53, 154-163

10. Simultaneous Identification of Thermal Conductivity and Heat Source in the Heat Equation

Authors: M. J. Huntul, M. S. Hussein
Year: 2021
Citations: 20
Source: Iraqi Journal of Science, 1968-1978

11. A wavelet-based collocation technique to find the discontinuous heat source in inverse heat conduction problems

Authors: M. Ahsan, W. Lei, M. Ahmad, M. S. Hussein, Z. Uddin
Year: 2022
Citations: 16
Source: Physica Scripta, 97(12), 125208

12. Identification of a multi-dimensional space-dependent heat source from boundary data

Authors: M. S. Hussein, D. Lesnic, B. T. Johansson, A. Hazanee
Year: 2018
Citations: 16
Source: Applied Mathematical Modelling, 54, 202-220

13. Free boundary determination in nonlinear diffusion

Authors: M. S. Hussein, D. Lesnic, M. Ivanchov
Year: 2013
Citations: 16
Source: East Asian Journal on Applied Mathematics, 3(4), 295-310

14. Retrieval of Timewise Coefficients in the Heat Equation from Nonlocal Overdetermination Conditions

Authors: F. Anwer, M. S. Hussein
Year: 2022
Citations: 15
Source: Iraqi Journal of Science, 1184-1199

15. Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Authors: M. Qassim, M. S. Hussein
Year: 2021
Citations: 15
Source: Iraqi Journal of Science, 62(3), 950-960

16. Determination of time-dependent coefficient in time fractional heat equation

Authors: Q. W. Ibraheem, M. S. Hussein
Year: 2023
Citations: 14
Source: Partial Differential Equations in Applied Mathematics, 7, 100492

17. Splitting the One-Dimensional Wave Equation, Part II: Additional Data are Given by an End Displacement Measurement

Authors: S. O. Hussein, M. S. Hussein
Year: 2021
Citations: 13
Source: Iraqi Journal of Science, 62(1), 233-239

18. Numerical Solution for Two-Sided Stefan Problem

Authors: M. S. Hussein, Z. Adil
Year: 2020
Citations: 12
Source: Iraqi Journal of Science, 61(2), 444-452