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 📚💼.

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 🧑‍⚕️💡.

Jyotindra Prajapati | Applied Mathematics | Best Researcher Award

Prof. Jyotindra Prajapati | Applied Mathematics | Best Researcher Award

Professor at Sardar Patel University, India

Dr. Jyotindra C. Prajapati (Ph.D. in Mathematics) is a dedicated academician and researcher with expertise in Special Functions, Integral Transforms, and Fractional Calculus 📘. With over 18 years of teaching and 8+ years of post-doctoral research experience 🧑‍🏫, he has published 60+ papers in reputed journals and authored scholarly books 📚. His innovative work on the generalized Mittag-Leffler function has been adopted by MATLAB 🧠💻. A committed mentor, he has guided several Ph.D. scholars, with one receiving a Best Thesis Award 🏆. He is actively involved in editorial boards of 50+ journals and holds membership in 16 professional societies 🌐. Recognized with prestigious awards like the Sardar Patel Research Award and International Earg Award 🥇, Dr. Prajapati continues to contribute significantly to mathematical research, education, and academic leadership 🌟.

Professional Profile 

Education 🎓

Prof. Jyotindra Prajapati holds a Ph.D. in Mathematics from the Sardar Vallabhbhai National Institute of Technology, Surat (2008), preceded by an M.Phil. from Sardar Patel University and an M.Sc. and B.Sc. from the Maharaja Sayajirao University of Baroda 📘. His academic path reflects a strong foundation in mathematical sciences, including both Mathematics and Statistics 🧠. With a consistent academic record and qualifications from renowned Indian institutions, he has developed deep theoretical knowledge and analytical skills. His educational journey has shaped his specialization in areas like Special Functions, Integral Transforms, and Fractional Calculus ➗, laying the groundwork for a prolific research and teaching career in higher mathematics. His academic achievements exemplify a solid and continuous commitment to learning, excellence, and intellectual development in the field of pure and applied mathematics 📐.

Professional Experience 👨‍🏫

Prof. Prajapati has more than 18 years of teaching and academic leadership experience at top institutions including Sardar Patel University, Marwadi University, and Charotar University 🏛️. He currently serves as a Professor in the Department of Mathematics at Sardar Patel University, Anand. His professional roles have included Head of Department, Academic Council member, IQAC committee member, and Principal of the Faculty of Science 🗂️. He has been involved in shaping curriculum, mentoring faculty, and conducting audits and evaluations. Through these roles, he has consistently demonstrated academic leadership, administrative competence, and commitment to quality education 🎯. His strong institutional engagement, combined with his passion for teaching and mentorship, positions him as a respected figure in academic governance and higher education management, contributing actively to university excellence and accreditation processes 📑.

Research Interest 🔬

Prof. Prajapati’s research interests lie in Special Functions, Integral Transforms, and Fractional Calculus 🔎. He is particularly known for his work on the Mittag-Leffler function, which has found global recognition and application, even being implemented in MATLAB’s function library 💻. His research is characterized by theoretical depth, originality, and applicability to complex mathematical problems in pure and applied domains. He continues to explore generalized functions, their analytical properties, and their use in solving differential equations and modeling problems. His interests bridge classical mathematical theory and modern computational approaches, contributing to fields such as mathematical physics and engineering mathematics ⚙️. Prof. Prajapati’s scholarly output demonstrates a blend of conceptual innovation and mathematical rigor, keeping his research at the forefront of evolving trends in mathematical sciences 📊.

Awards and Honors 🏅

Prof. Prajapati has received multiple accolades that affirm his academic excellence and scholarly impact. Notable among them are the Sardar Patel Research Award (2020) for contributions to basic and computer sciences and the International Earg Award (2024) for Outstanding Faculty of the Year 🏆. He is also a recognized reviewer for the American Mathematical Society’s MathSciNet 🧮, an honor reflecting trust in his academic judgment. Furthermore, his innovative work led MATLAB to incorporate a function based on his generalization of the Mittag-Leffler function—an exceptional achievement in applied research recognition 🌐. He has also mentored award-winning Ph.D. scholars, further amplifying his influence. These honors underscore his sustained commitment to advancing mathematical research and education at both national and international levels 🌟.

Research Skills 📚

Prof. Prajapati possesses exceptional research skills in mathematical analysis, symbolic computation, and theoretical modeling 🧠. He is proficient in developing generalized functions and exploring their properties through rigorous analytical methods. His capability to connect abstract mathematical theory to practical applications, as evidenced by the use of his function in MATLAB, highlights his problem-solving acumen 💡. As a published author of 60+ research papers and a book, he demonstrates strength in academic writing, peer collaboration, and international publication standards 📖. His involvement with 50+ editorial boards showcases his critical reviewing skills, while his ability to guide Ph.D. students reflects strong mentorship and supervision capabilities. With deep subject expertise, attention to mathematical detail, and a high level of intellectual discipline, his research skills are both broad and deeply specialized 🔬.

Publications Top Note 📝

  • Title: On a Generalization of Mittag-Leffler Function and Its Properties
    Authors: A.K. Shukla, J.C. Prajapati
    Year: 2007
    Citations: 652
    Source: Journal of Mathematical Analysis and Applications, 336(2), 797–811

  • Title: Fractional Calculus of Generalized k-Wright Function
    Authors: K.S. Gehlot, J.C. Prajapati
    Year: 2013
    Citations: 40
    Source: Journal of Fractional Calculus and Applications, 4(2), 283–289

  • Title: Fractional Integrals and Solution of Fractional Kinetic Equations Involving k-Mittag-Leffler Function
    Authors: M. Chand, J.C. Prajapati, E. Bonyah
    Year: 2017
    Citations: 33
    Source: Transactions of A. Razmadze Mathematical Institute, 171(2), 144–166

  • Title: Integral Inequalities Involving Generalized Erdélyi-Kober Fractional Integral Operators
    Authors: D. Baleanu, S.D. Purohit, J.C. Prajapati
    Year: 2016
    Citations: 29
    Source: Open Mathematics, 14(1), 89–99

  • Title: Fractional Calculus Approach to Study Temperature Distribution Within a Spinning Satellite
    Authors: J.C. Prajapati, K.B. Kachhia, S.P. Kosta
    Year: 2016
    Citations: 25
    Source: Alexandria Engineering Journal, 55(3), 2345–2350

  • Title: Some Properties of Wright-type Generalized Hypergeometric Function via Fractional Calculus
    Authors: S.B. Rao, J.C. Prajapati, A.D. Patel, A.K. Shukla
    Year: 2014
    Citations: 24
    Source: Advances in Difference Equations, 2014, Article ID 1–11

  • Title: On a Generalized Mittag-Leffler Type Function and Generated Integral Operator
    Authors: A.K. Shukla, J.C. Prajapati
    Year: 2008
    Citations: 23
    Source: Mathematical Science Research Journal, 12(12), 283–290

  • Title: New Laplace Transforms for the 2F2 Generalised Hypergeometric Functions
    Authors: P. Deepthi, J.C. Prajapati, A.K. Rathie
    Year: 2017
    Citations: 3
    Source: Journal of Fractional Calculus and Applications, 8(2), 150–155

  • Title: A Reduction Formula for the Appell Series F3 in Two Variables
    Authors: J.C. Prajapati, J. Choi, B.P. Patel, P. Agarwal
    Year: 2015
    Citations: 3
    Source: International Journal of Mathematical Analysis, 9(48), 2377–2385

  • Title: A Study of Saigo-Maeda Fractional Operators with Generalized K-Wright Function
    Authors: K. Gupta, M.K. Gurjar, J.C. Prajapati
    Year: 2014
    Citations: 3
    Source: International Journal of Pure and Applied Mathematics, 93(5), 715–728

  • Title: On Sequence of Functions
    Authors: I.A. Salehbhai, J.C. Prajapati, A.K. Shukla
    Year: 2013
    Citations: 3
    Source: Communications of the Korean Mathematical Society, 28(1), 123–134

  • Title: On Laguerre Type Polynomials
    Authors: J.C. Prajapati, A.D. Patel, A.K. Shukla
    Year: 2010
    Citations: 3
    Source: International Journal of Contemporary Mathematical Sciences, 5(32), 1599–1608

  • Title: Editorial Team
    Authors: G. Ahmed, H.D. Kasmaei, M.R. Adhikari, P. Agarwal, S. Kirkup, M. Senol, J.C. Prajapati, et al.
    Year: 2024
    Citations: 2
    Source: Editorial Role, Journal Contribution

  • Title: Certain Properties of Generalized Mittag-Leffler Operators
    Authors: P. Patel, J.C. Prajapati
    Year: 2024
    Citations: 2
    Source: Fractional Differential Equations, pp. 27–42

  • Title: A Study on Unsteady Flow Through Porous Media: A Cubic Spline Collocation Approach
    Authors: P. Shah, P. Tandel, J. Prajapati
    Year: 2021
    Citations: 2
    Source: Journal of Interdisciplinary Mathematics, 24(5), 1375–1386

Conclusion ✅

Prof. Jyotindra Prajapati exemplifies academic excellence, combining rigorous research, impactful teaching, and visionary leadership in mathematics 📐. His distinguished career reflects a strong foundation in mathematical sciences, with contributions that resonate globally—particularly his generalization of the Mittag-Leffler function 💼. Through mentoring Ph.D. scholars, participating in national/international academic bodies, and holding key university roles, he continues to shape the future of mathematical education and research 🎓. His numerous honors and professional memberships speak to his standing in the academic community. Prof. Prajapati’s holistic blend of scholarly output, educational service, and institutional leadership makes him a deserving candidate for any prestigious academic recognition, including the Best Researcher Award 🏆. He remains a dedicated torchbearer of mathematical inquiry and higher education excellence 🌟.

Sebastian Pardo Guerra | Applied Mathematics | Best Researcher Award

Dr. Sebastian Pardo Guerra | Applied Mathematics | Best Researcher Award

University of California, San Diego at Center for Engineered Natural Intelligence, United States

Dr. Sebastián Pardo Guerra 🎓 is a distinguished mathematician and researcher at the Center for Engineered Natural Intelligence, University of California San Diego 🧠. With a Ph.D. from UNAM, his expertise spans pure mathematics—particularly module theory, lattice theory, and category theory—and their innovative applications in neuroscience, information theory, and quantum systems 🔬. He has published extensively in high-impact journals 📚, with several feature papers and editor’s picks in 2024–2025. A seasoned lecturer and active conference presenter 🎤, Dr. Pardo Guerra bridges theoretical depth with interdisciplinary innovation. His work reflects a unique synthesis of mathematical abstraction and real-world relevance, earning him recognition in both academic and applied domains 🌐. His scholarly excellence, international engagement, and commitment to advancing mathematical frontiers make him a strong candidate for top research honors 🏆.

Professional Profile 

🎓 Education

Dr. Sebastián Pardo Guerra holds a Ph.D. in Mathematics from the National Autonomous University of Mexico (UNAM) 🎓, where he also earned his M.S. and B.S. degrees in Mathematics. His academic journey reflects a deep commitment to foundational studies, with theses exploring Galois Theory, Abelian groups, and lattice preradicals 📘. His doctoral dissertation, On the Big Lattice of Lattice Preradicals, showcases early engagement with complex algebraic structures. Through prestigious CONACYT fellowships for both his master’s and doctoral studies 🏅, he demonstrated academic excellence and promise. His education laid a rigorous foundation for blending theoretical elegance with applied insight, positioning him to make substantial contributions at the intersection of algebra, logic, and emerging scientific domains 🔍.

💼 Professional Experience

Dr. Pardo Guerra is a researcher at the Center for Engineered Natural Intelligence, University of California San Diego (UCSD) 🧠, with a trajectory that includes appointments as a lecturer and postdoctoral researcher at UCSD and UNAM. From 2012 to 2019, he served as a mathematics lecturer at UNAM 🇲🇽, followed by postdoctoral roles in bioengineering and applied mathematics at UCSD 🌐. He currently contributes to cutting-edge projects integrating category theory with neuroscience and network theory. His dual focus on research and teaching spans over a decade of academic engagement, including recent instruction in Linear Algebra, Precalculus, and Vector Calculus 🧮. This combination of pedagogical strength and high-level research underpins his influential presence in both academic and applied mathematics spheres 🔧.

📚 Research Interests

Dr. Pardo Guerra’s research encompasses a compelling blend of pure and applied mathematics. In the pure domain, he focuses on module theory, lattice theory, and category theory 🧩—exploring structural properties and their implications in algebraic systems. In the applied space, he delves into neuroscience, information theory, and quantum information, applying advanced categorical frameworks to model complex, dynamic systems 🌐. His innovative use of preradicals to redefine information entropy and analyze network topologies exemplifies his unique methodological approach 🧠. By bridging abstract mathematics with emerging scientific challenges, his research offers novel insights into both foundational theory and interdisciplinary applications, contributing to the evolution of intelligent systems and computational structures ⚙️📊.

🏅 Awards and Honors

Dr. Pardo Guerra has received notable honors throughout his academic career, including the prestigious CONACYT Fellowships for both his M.S. and Ph.D. programs in Mexico 🇲🇽. These competitive awards recognize academic excellence and research potential among top Mexican scholars. His recent papers have earned “Feature Paper” and “Editor’s Choice” selections in international journals like Mathematics 📰—a testament to the originality and relevance of his work. His consistent presence at respected conferences such as BLAST, Ohio State–Denison Math Conference, and UCSD Colloquia further affirms his reputation within the global mathematics community 🌍. These accolades highlight his innovative thinking and valuable contributions to contemporary mathematical discourse 🏆.

🛠️ Research Skills

Dr. Pardo Guerra brings a powerful set of research skills combining deep theoretical insight with interdisciplinary modeling capabilities 🧠. He is adept at constructing and analyzing abstract structures within lattice theory, module theory, and category theory—fields requiring a high degree of mathematical precision 🔬. His work applies these constructs to neural networks, graph theory, and information systems, utilizing tools like preradicals, entropy models, and Markov categories. He is also proficient in academic writing, publishing, and presenting in both Spanish and English, and skilled in engaging audiences through lectures, seminars, and collaborative forums 🧾🎤. As a reviewer for Mathematical Reviews, he contributes to the peer-review process, underscoring his commitment to scholarly rigor and intellectual advancement ⚖️.

Publications Top Note 📝

Title: On the Graph Isomorphism Completeness of Directed and Multidirected Graphs
Authors: S. Pardo-Guerra, V.K. George, G.A. Silva
Year: 2025
Citations: 10
Source: Mathematics, Volume 13, Issue 2, Article 228

Title: Extending Undirected Graph Techniques to Directed Graphs via Category Theory
Authors: S. Pardo-Guerra, V.K. George, V. Morar, J. Roldan, G.A. Silva
Year: 2024
Citations: 7
Source: Mathematics, Volume 12, Issue 9, Article 1357

Title: Some Isomorphic Big Lattices and Some Properties of Lattice Preradicals
Authors: S. Pardo-Guerra, H.A. Rincón-Mejía, M.G. Zorrilla-Noriega
Year: 2020
Citations: 5
Source: Journal of Algebra and Its Applications, Volume 19, Issue 7, Article 2050140

Title: Big Lattices of Hereditary and Natural Classes of Linear Modular Lattices
Authors: S. Pardo-Guerra, H.A. Rincón-Mejía, M.G. Zorrilla-Noriega
Year: 2021
Citations: 2
Source: Algebra Universalis, Volume 82, Issue 4, Article 52

Title: On Preradicals, Persistence, and the Flow of Information
Authors: S. Pardo-Guerra, G.A. Silva
Year: 2024
Source: International Journal of General Systems, Volume 53, Issues 7–8, Pages 1121–1145

Title: On Torsion Theories and Open Classes of Linear Modular Lattices
Authors: F. González-Bayona, S. Pardo-Guerra, H.A. Rincón-Mejía, et al.
Year: 2024
Source: Communications in Algebra, Volume 52, Issue 1, Pages 371–391

Title: On the Lattice of Conatural Classes of Linear Modular Lattices
Authors: S. Pardo-Guerra, H.A. Rincón-Mejía, M.G. Zorrilla-Noriega, et al.
Year: 2023
Source: Algebra Universalis, Volume 84, Issue 4, Article 29

Title: A Categorical Framework for Quantifying Emergent Effects in Network Topology
Authors: G.A.S. Johnny Jingze Li, S. Pardo-Guerra, Kalyan Basu
Year: 2025
Source: Neural Computation (in press)

Title: On Semi-Projective Modular Lattices
Authors: F.G. Bayona, S.P. Guerra, M.G.Z. Noriega, H.A.R. Mejía
Source: International Electronic Journal of Algebra, Pages 1–35

🧾 Conclusion

Dr. Sebastián Pardo Guerra is a dynamic and forward-thinking researcher whose contributions span theoretical depth and applied innovation 🌟. With solid academic credentials, international teaching and research experience, and a growing portfolio of impactful publications, he exemplifies excellence in mathematical sciences 📈. His work not only advances abstract algebraic theory but also pioneers new applications in intelligent systems and complex networks 🧠💡. Recognized through awards, invited talks, and feature publications, Dr. Pardo Guerra is well-positioned as a leading voice in contemporary mathematical research. His diverse expertise, professional integrity, and global academic engagement make him an outstanding candidate for high-level honors such as the Best Researcher Award 🏅.

Owais Khan | Applied Mathematics | Best Researcher Award

Assist. Prof. Dr. Owais Khan | Applied Mathematics | Best Researcher Award

Assistant Professor at Integral University India

Dr. Owais Khan is a distinguished researcher and educator in Mathematics, with a strong focus on Artificial Intelligence, Data Science, and Computational Methods 🧠📊. He holds a Ph.D. and has contributed extensively through impactful publications in reputed international journals 📚. Dr. Khan’s academic journey is marked by innovative teaching methodologies and interdisciplinary research that bridges theory and application across science and technology 🔬💡. He has participated in global conferences, fostering collaborations that advance mathematical innovation 🌐🤝. His work continues to inspire the next generation of scholars, reflecting his dedication to academic excellence and research leadership 🎓🏅. Passionate about solving real-world problems through mathematics, Dr. Khan’s vision aligns with emerging trends in intelligent systems and digital transformation, making him a leading voice in modern mathematical science 🔎💻.

Professional Profile 

Education 🎓📘

Dr. Owais Khan earned his Ph.D. in Mathematics with a specialization in Artificial Intelligence and Computational Techniques, establishing a strong academic foundation. His educational journey includes a Master’s and Bachelor’s degree in Mathematics from prestigious institutions 🏛️. Throughout his academic path, he consistently excelled, earning scholarships and accolades for his analytical aptitude and research excellence. He has also completed advanced certification programs in Data Science and Machine Learning, reinforcing his interdisciplinary expertise 🤖📈. Dr. Khan’s education has equipped him with a blend of theoretical knowledge and computational skills, making him adept at tackling complex scientific challenges. His commitment to lifelong learning and continuous improvement is evident in his engagement with emerging educational platforms and professional development opportunities globally 🌍📚.

Professional Experience 🧑‍🏫💼

Dr. Owais Khan has held esteemed academic and research positions across top universities and research institutes. With years of experience as a faculty member, he has taught a wide range of undergraduate and postgraduate courses in Mathematics, Data Science, and AI 📊📐. In addition to teaching, he has served as a research mentor and thesis advisor, guiding scholars in advanced computational research 🔍👨‍🎓. Dr. Khan has contributed to curriculum development and interdisciplinary program design, enhancing academic structures. He also worked on funded projects involving AI-based modeling and predictive analytics. His collaborative approach has led to partnerships with institutions across disciplines, enriching his academic influence. His professional journey reflects a balance between teaching, research, and institutional leadership, underscoring his role as a multifaceted educator and scientist 🌟🏢.

Research Interest 🔬💡

Dr. Khan’s research interests lie at the intersection of Mathematics, Artificial Intelligence, and Data-Driven Science. His work explores mathematical modeling, optimization, neural networks, fuzzy logic, and machine learning applications in real-world systems 🧠📉. He is particularly focused on predictive analytics, intelligent algorithms, and AI-supported decision-making systems. His current projects delve into computational simulations, pattern recognition, and smart data analysis across environmental, medical, and engineering domains ⚙️🌿🩺. Dr. Khan’s research is characterized by an interdisciplinary framework, aiming to translate theoretical models into practical innovations. His vision is to advance intelligent systems that solve contemporary challenges through mathematically grounded solutions. By integrating traditional mathematical tools with modern AI paradigms, Dr. Khan pushes the frontiers of applied mathematics and scientific discovery 🚀📚.

Awards and Honors 🏆🎖️

Dr. Owais Khan has received several prestigious awards in recognition of his academic excellence and research contributions. He has been honored with Best Research Paper Awards, Young Scientist Awards, and Academic Excellence Awards from reputed scientific forums and institutions 🌟📜. His innovative work in artificial intelligence and mathematical modeling has earned accolades both nationally and internationally. He has also received travel grants and research fellowships for participation in global conferences and collaborative projects 🌍✈️. Dr. Khan is frequently invited as a keynote speaker, reviewer, and editorial board member for international journals and symposiums, further underscoring his scholarly impact 🧾🗣️. These honors reflect his dedication to pushing the boundaries of research and mentoring the next generation of scientists in his field 🧑‍🔬🏅.

Research Skills 🛠️🧪

Dr. Khan possesses a versatile set of research skills, combining theoretical mathematical expertise with advanced computational proficiency. He is adept in programming languages such as Python, R, and MATLAB, which he applies to develop and test AI algorithms and data models 💻📊. His analytical capabilities span differential equations, numerical methods, statistical analysis, and optimization. He is skilled in using tools like TensorFlow, Scikit-learn, and SPSS for machine learning and statistical computing 🤖📈. Dr. Khan is also experienced in LaTeX for professional documentation and publishing. His collaborative research methodology and proficiency in data interpretation enable high-impact scientific outputs. He excels in research design, literature synthesis, hypothesis testing, and experimental validation, making him a well-rounded and innovative contributor to multidisciplinary research 🔍📂.

Publications Top Note 📝

  • Title: Computable solution of fractional kinetic equations using Mathieu-type series
    Authors: O. Khan, N. Khan, D. Baleanu, K.S. Nisar
    Year: 2019
    Citations: 22
    Source: Advances in Difference Equations

  • Title: A novel densely packed 4×4 MIMO antenna design for UWB wireless applications
    Authors: O. Khan, S. Khan, S.N.K. Marwat, N. Gohar, M. Bilal, M. Dalarsson
    Year: 2023
    Citations: 16
    Source: Sensors, Volume 23(21), Article 8888

  • Title: Computation of new class of integrals involving generalized Galue type Struve function
    Authors: M. Kamarujjama, O. Khan
    Year: 2018
    Citations: 16
    Source: Journal of Computational and Applied Mathematics, Volume 351, Pages 228–236

  • Title: Fractional calculus formulas for Mathieu-type series and generalized Mittag-Leffler function
    Authors: O. Khan, S. Araci, M. Saif
    Year: 2020
    Citations: 15
    Source: Journal of Mathematics and Computational Science, Volume 20, Pages 122–130

  • Title: A type of fractional kinetic equations associated with the (p; q)-extended beta-hypergeometric and confluent hypergeometric functions
    Authors: O. Khan, N.N.U. Khan, J. Choi, K.S. Nisar
    Year: 2021
    Citations: 12
    Source: Nonlinear Functional Analysis and Applications, Volume 26(2), Pages 381–392

  • Title: Certain integral transforms involving the product of Galue type Struve function and Jacobi polynomial
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: Not Specified
    Citations: 12
    Source: Palestine Journal of Mathematics, Volume 6, Pages 1–9

  • Title: The generalized p‑k‑Mittag‑Leffler function and solution of fractional kinetic equations
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: 2019
    Citations: 11
    Source: The Journal of Analysis, Pages 1–18

  • Title: Construction of partially degenerate Laguerre-Genocchi polynomials with their applications
    Authors: T. Usman, M. Aman, O. Khan, K.S. Nisar, S. Araci
    Year: 2020
    Citations: 9
    Source: American Institute of Mathematical Sciences

  • Title: Fractional calculus of generalized pk-Mittag-Leffler function using Marichev–Saigo–Maeda operators
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Arab Journal of Mathematical Sciences, Volume 25(2), Pages 156–168

  • Title: Estimation of certain integrals with extended multi-index Bessel function
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Malaya Journal of Matematik, Volume 7(2), Pages 206–212

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: N.U. Khan, S. Husain, O. Khan
    Year: 2022
    Citations: 8
    Source: Hacettepe Journal of Mathematics and Statistics, Volume 52(4), Pages 945–955

  • Title: Extended Type k-Mittag–Leffler Function and Its Applications
    Authors: M. Kamarujjama, N.U. Khan, O. Khan, J.J. Nieto
    Year: 2019
    Citations: 7
    Source: International Journal of Applied and Computational Mathematics, Volume 5, Pages 1–14

  • Title: Fractional calculus of a product of multivariable Srivastava polynomial and multi-index Bessel function in the kernel F-3
    Authors: O. Khan, N. Khan, K.S. Nisar, M. Saif, D. Baleanu
    Year: 2020
    Citations: 4
    Source: Not specified (likely a mathematics journal)

  • Title: Unified approach to the certain integrals of k-Mittag-Leffler type function of two variables
    Authors: O. Khan, N. Khan, K.A. Sooppy
    Year: 2019
    Citations: 2
    Source: Transactions of the National Academy of Sciences of Azerbaijan. Series of Physical-Technical and Mathematical Sciences, Volume 39, Pages 98–108

  • Title: Evaluation of Transforms and Fractional Calculus of New Extended Wright Function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2022
    Citations: 1
    Source: International Journal of Applied and Computational Mathematics, Volume 8, Pages 1–14

  • Title: Certain finite integrals involving generalized Wright function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2021
    Citations: 1
    Source: Advanced Mathematical Models & Applications, Volume 6(3)

  • Title: Fractional operators and solution of fractional kinetic equations involving generalized hypergeometric function
    Authors: T. Usman, N. Khan, O. Khan, D.A. Juraev
    Year: 2024
    Source: Palestine Journal of Mathematics, Volume 13(3)

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: K. Nabiullah, S. Husain, K. Owais
    Year: 2023
    Source: Hacettepe Journal of Mathematics and Statistics, Pages 1–12

Conclusion 🧾✅

Dr. Owais Khan stands out as a dynamic mathematician, educator, and AI researcher whose work bridges theory and application. His multifaceted profile—from academic excellence and international recognition to interdisciplinary research and technical mastery—illustrates his role as a leader in modern scientific inquiry 🌐📘. With a forward-thinking mindset, he continues to explore how mathematical reasoning can power intelligent systems and solve pressing global challenges. His contributions in academia, research, and professional service reflect his commitment to knowledge advancement and societal betterment 🧠💡. Dr. Khan remains a source of inspiration to peers and students alike, continually striving for excellence in education, research, and innovation. His journey embodies a blend of intellect, innovation, and integrity, shaping the future of mathematics and artificial intelligence 🌟📚.

Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award

Prof. Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award

Applied Math. Department at University of Tabriz, Iran

Prof. Sedaghat Shahmorad 🎓, a distinguished scholar in Applied Mathematics at the University of Tabriz 🇮🇷, specializes in numerical analysis, particularly integro-differential equations. With over two decades of academic experience 🧠, he has significantly contributed to the field through extensive teaching, research, and leadership. He has supervised numerous M.Sc. and Ph.D. theses 🎓📚 and authored multiple scholarly books and impactful journal articles 📖📝. His work on the Tau method and approximation techniques has earned recognition in computational mathematics 🧮. As Head of the Applied Mathematics Department and former Dean, he has demonstrated strong administrative and academic leadership 👨‍🏫📊. Prof. Shahmorad’s dedication to advancing numerical methods and mentoring future mathematicians makes him a highly deserving candidate for the Best Researcher Award 🏆🔬.

Professional Profile 

Education 🎓📘

Prof. Sedaghat Shahmorad earned his B.Sc. in Applied Mathematics from the University of Tabriz 🇮🇷, followed by an M.Sc. and Ph.D. in Numerical Analysis from the same institution. His academic journey has been marked by excellence in mathematical modeling and computational theory 📊. With a solid foundation in numerical methods and integro-differential equations, he developed deep expertise in solving complex mathematical problems 💡. Throughout his academic training, Prof. Shahmorad received high honors, standing out for his analytical acumen and innovation 🧠. His commitment to lifelong learning and scholarly development has shaped a distinguished academic and research career, reinforcing his role as a leading expert in numerical mathematics 📐🔍.

Professional Experience 👨‍🏫🏢

Prof. Shahmorad brings over two decades of academic and leadership experience in Applied Mathematics at the University of Tabriz 🎓. He has served as the Head of the Department of Applied Mathematics and formerly as the Dean of the Faculty of Mathematical Sciences 🏛️. In addition to his teaching duties, he has led multiple research projects, supervised numerous postgraduate students, and contributed to curriculum development 📚. His strong leadership and mentorship have made a lasting impact on the academic community 👥. He has also participated in editorial boards, conferences, and international collaborations 🌐. His professional trajectory reflects his deep commitment to both teaching and research excellence, making him a vital contributor to the advancement of numerical mathematics 🔬📈.

Research Interest 🔍📐

Prof. Shahmorad’s research focuses on numerical analysis, especially the development of efficient methods for solving integro-differential and delay differential equations 🔢. He is renowned for his work on Tau methods, spectral techniques, and high-order approximation algorithms, which have broad applications in engineering, physics, and applied sciences ⚙️🌌. His studies aim to bridge theoretical rigor with computational feasibility, providing tools for real-world problem-solving 💻📊. He also explores fractional calculus, integral transforms, and mathematical modeling of dynamic systems. His interdisciplinary research contributes significantly to advancing both applied and pure mathematical domains 📘🧪. Prof. Shahmorad’s innovative methodologies continue to influence emerging trends in computational mathematics and inspire the next generation of researchers around the globe 🌍.

Award and Honor 🏆🎖️

Prof. Sedaghat Shahmorad has received multiple awards and honors recognizing his academic excellence, innovative research, and outstanding mentorship 🏅📚. Notably, he has been acknowledged as a Top Researcher at the University of Tabriz and by national science organizations in Iran 🇮🇷. His contributions to numerical mathematics, especially in solving integro-differential equations, have earned accolades from peer-reviewed journals and international conference bodies 🧾🌟. He has also received honors for excellence in teaching and student supervision, highlighting his role as a mentor par excellence 👨‍🏫🌱. These awards are a testament to his impactful research output, dedication to knowledge dissemination, and continued service to the academic community 🎓🧠.

Research Skill 🧠💻

Prof. Shahmorad possesses advanced skills in mathematical modeling, numerical simulations, and algorithm development. He is proficient in implementing spectral and collocation methods, particularly the Tau method, to tackle complex integro-differential systems with precision 🔢📈. His expertise extends to fractional differential equations, delay systems, and applied analysis using computational tools like MATLAB and Mathematica 🖥️⚙️. With a strong command over linear algebra, integral transforms, and functional analysis, he develops robust algorithms that are widely cited and applied in science and engineering 🔍📚. His problem-solving approach blends theoretical insight with computational strategy, fostering innovation and practical applications in numerical mathematics 📘🚀.

Publications Top Note 📝

  • Title: Solving a class of auto-convolution Volterra integral equations via differential transform method
    Authors: Sedaghat Shahmorad, et al.
    Year: 2025
    Source: Journal of Mathematical Modeling

  • Title: Approximate solution of multi-term fractional differential equations via a block-by-block method
    Authors: Sedaghat Shahmorad, et al.
    Year: 2025
    Citations: 1
    Source: Journal of Computational and Applied Mathematics

  • Title: Convergence analysis of Jacobi spectral tau-collocation method in solving a system of weakly singular Volterra integral equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Citations: 1
    Source: Mathematics and Computers in Simulation

  • Title: Theoretical and numerical analysis of a first-kind linear Volterra functional integral equation with weakly singular kernel and vanishing delay
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Citations: 1
    Source: Numerical Algorithms

  • Title: Double weakly singular kernels in stochastic Volterra integral equations with application to the rough Heston model
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Applied Mathematics and Computation

  • Title: Existence, uniqueness and blow-up of solutions for generalized auto-convolution Volterra integral equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Applied Mathematics and Computation

  • Title: The application of fuzzy transform method to the initial value problems of linear differential–algebraic equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Mathematical Sciences

  • Title: Solving fractional differential equations using cubic Hermit spline functions
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Filomat (Open Access)

  • Title: Solving 2D-integro-differential problems with nonlocal boundary conditions via a matrix formulated approach
    Authors: Sedaghat Shahmorad, et al.
    Year: 2023
    Citations: 1
    Source: Mathematics and Computers in Simulation

  • Title: Review of recursive and operational approaches of the Tau method with a new extension
    Authors: Sedaghat Shahmorad, et al.
    Year: 2023
    Source: Computational and Applied Mathematics

Conclusion ✨📜

Prof. Sedaghat Shahmorad stands as a prominent figure in numerical analysis, combining deep theoretical knowledge with computational expertise 🌐📊. His dedication to teaching, mentoring, and advancing numerical methodologies has significantly shaped the field and inspired scholars across disciplines 🧠🎓. With a rich portfolio of research, leadership roles, and academic honors, he exemplifies excellence in mathematics and its real-world applications 🧾🏅. His work not only contributes to scientific understanding but also provides tools for innovation across technology and engineering sectors 🧬⚙️. As a visionary academic and skilled researcher, Prof. Shahmorad continues to influence future directions in computational and applied mathematics with distinction 🌟📘.

Misha Urooj Khan | Applied Mathematics | Best Researcher Award

Prof. Misha Urooj Khan | Applied Mathematics | Best Researcher Award

AM (Tech) at CERN, Pakistan

Prof. Misha Urooj Khan is an accomplished electronics engineer and researcher whose multifaceted expertise spans embedded systems, quantum computing, AI/ML, and cybersecurity. 🎓 With a master’s degree focused on FPGA-based real-time SLAM and extensive experience at CERN, NCP, COMSATS, and UET, she has authored 10 journal papers, 17 conference articles, and earned 658 citations. 💡 Her work includes groundbreaking innovations like drone-resistant cryptography, AI-driven healthcare devices (USteth, ThalaScreen), and predictive analytics for disaster management. 🛰️ As an inventor on a patented drone-detection system and mentor to numerous interns and students across global institutions, she demonstrates strong leadership and social impact. 🌍 Recognized with awards and competitive startup funding, Prof. Khan’s strategic vision and interdisciplinary contributions make her a standout candidate for the Best Researcher Award. 🏆

Professional Profile

📚 Education

Professor Misha Urooj Khan holds a Master’s degree in Electronics Engineering from the University of Engineering & Technology Taxila (2019–2022), specializing in real-time FPGA-based Simultaneous Localization and Mapping (SLAM). She earned her B.Sc. in Electronics Engineering (2015–2019) from the same institution, focusing on embedded systems, FPGA design, and neural networks, and implemented an automatic wheezing detection system for her thesis. With a solid grounding in both hardware and software design, she developed strong analytical and technical skills in digital design, signal processing, and machine learning. Her rigorous academic training laid the foundation for her multidisciplinary research career, enabling seamless integration of theory and application across quantum computing, AI-enhanced embedded systems, cyber‑physical systems, and robotics. These educational credentials articulate her commitment to innovation and technology-driven problem solving.

💼 Professional Experience

Professor Khan’s career spans internationally recognized institutions such as CERN, NCP, COMSATS, UET, and King Fahd University. As a Software Developer for CERN’s CMS experiment (2024–2025), she developed database schemas, business logic, and automated migrations, contributing to high-performance scientific computing environments. At Open Quantum Initiative and NCP (2023–2026), she implemented quantum machine learning, error mitigation techniques, sensor-fusion robotics, and AI-driven predictive systems. Her research at COMSATS (2022) focused on intelligent UAV detection using edge devices. Earlier roles included designing biomedical signal-processing systems and embedded real-time detection boards (UET Taxila, 2018–2022). Recently, at King Fahd University, she’s spearheading lightweight, quantum-resistant cybersecurity protocols for drones. Across each role, she has demonstrated exceptional technical proficiency, leadership in mentoring interns, and impactful contributions to system deployment, publication, and product innovation.

🔬 Research Interests

Professor Khan’s research spans quantum computing, artificial intelligence, embedded systems, and cybersecurity—integrating these domains to solve complex real-world problems. Within quantum computing, she investigates noise modeling, error mitigation, quantum machine learning (QSVM, QNN, VQC), and oracle‑based functions on IBM quantum processors. Her AI/ML projects include domain-generalized image translation frameworks like R2TGenNet and T2RGenNet, predictive fault‑diagnosis for rotary equipment, YOLO-based object detection, and AI‑enhanced decision support. In embedded systems, she specializes in FPGA‑based SLAM, real‑time sensor fusion (LiDAR, RGB/depth cameras, IMU), and custom hardware for biomedical signal acquisition. Her current interest lies in quantum‑resistant cryptographic protocols tailored for UAV communication systems. She is passionate about bridging quantum‑AI with cybersecurity to enable secure, intelligent, and autonomous applications across healthcare, robotics, disaster response, and aerospace.

🏅 Awards and Honors

Professor Khan has earned recognition across academia, innovation, and professional excellence. She holds 658 citations (2025) and was awarded 2nd place for her presentation on “Noise Modeling and Error Mitigation on Quantum Computers” at ICTP Trieste, March 2024. Other distinctions include runner-up in the PMNIA startup pitching (June 2023), Best Presenter shields at IBCAST’23 and IEEC’21, and funding awards for USteth and ThalaScreen prototypes (2022). Her startup PAK‑AeroSafe qualified at regional and national levels and achieved runner-up status at Hackathon’23 (February 2023). Academic engagement includes first positions in university fairs (2019), community science awards since 2012, and multiple national scholastic honors. These accolades highlight her consistent excellence in research, presentation, innovation, and community engagement.

🛠️ Research Skills

Professor Khan possesses a versatile and comprehensive set of skills across computing, hardware design, and data science. She is adept in FPGA/embedded system design (Verilog/VHDL), real‑time algorithm development, and robotics navigation with ROS and Jetson hardware. Her ML proficiency spans classic and deep learning (SVM, KNN, RF, YOLOv5-v11, VGG16/19, GANs, Autoencoder), and she designs bespoke frameworks (R2TGenNet, T2RGenNet). In quantum research, she handles noise modeling, quantum gate design, error mitigation, oracle functions, and algorithm implementation on IBM quantum simulators and hardware. She also excels in sensor fusion (LiDAR/IMU/RGB/Depth), GUI creation, digital signal processing, and AI-based healthcare tools. Her programming languages include Python, Qiskit, MATLAB, and Linux-based deployment, complemented by strong skills in mentoring, proposal writing, and cross-disciplinary collaboration.

Publications Top Notes 📝

  • Title: A comparative survey of lidar-slam and lidar based sensor technologies
    Authors: MU Khan, SAA Zaidi, A Ishtiaq, SUR Bukhari, S Samer, A Farman
    Year: 2021
    Citations: 156
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Artificial neural network-based cardiovascular disease prediction using spectral features
    Authors: MU Khan, S Samer, MD Alshehri, NK Baloch, H Khan, F Hussain, SW Kim, et al.
    Year: 2022
    Citations: 39
    Source: Computers and Electrical Engineering 101, Article 108094

  • Title: Classification of eye diseases and detection of cataract using digital fundus imaging (DFI) and inception-V4 deep learning model
    Authors: A Raza, MU Khan, Z Saeed, S Samer, A Mobeen, A Samer
    Year: 2021
    Citations: 34
    Source: 2021 International Conference on Frontiers of Information Technology (FIT)

  • Title: Safespace mfnet: Precise and efficient multifeature drone detection network
    Authors: MU Khan, M Dil, MZ Alam, FA Orakazi, AM Almasoud, Z Kaleem, C Yuen
    Year: 2023
    Citations: 33
    Source: IEEE Transactions on Vehicular Technology 73(3), 3106-3118

  • Title: Spectral analysis of lung sounds for classification of asthma and pneumonia wheezing
    Authors: SZH Naqvi, M Arooj, S Aziz, MU Khan, MA Choudhary
    Year: 2020
    Citations: 31
    Source: 2020 International Conference on Electrical, Communication, and Computer

  • Title: Supervised machine learning based fast hand gesture recognition and classification using electromyography (EMG) signals
    Authors: MU Khan, H Khan, M Muneeb, Z Abbasi, UB Abbasi, NK Baloch
    Year: 2021
    Citations: 29
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: A review of system on chip (SoC) applications in Internet of Things (IoT) and medical
    Authors: A Ishtiaq, MU Khan, SZ Ali, K Habib, S Samer, E Hafeez
    Year: 2021
    Citations: 28
    Source: ICAME21, International Conference on Advances in Mechanical Engineering

  • Title: Identification of leaf diseases in potato crop using Deep Convolutional Neural Networks (DCNNs)
    Authors: Z Saeed, MU Khan, A Raza, N Sajjad, S Naz, A Salal
    Year: 2021
    Citations: 23
    Source: 16th International Conference on Emerging Technologies (ICET)

  • Title: Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
    Authors: MU Khan, SZZ Ali, A Ishtiaq, K Habib, T Gul, A Samer
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Automated system design for classification of chronic lung viruses using non-linear dynamic system features and k-nearest neighbour
    Authors: MU Khan, A Farman, AU Rehman, N Israr, MZH Ali, ZA Gulshan
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Embedded system design for real-time detection of asthmatic diseases using lung sounds in cepstral domain
    Authors: MU Khan, A Mobeen, S Samer, A Samer
    Year: 2021
    Citations: 22
    Source: 6th International Electrical Engineering Conference (IEEC)

  • Title: Stability enhancement of commercial Boeing aircraft with integration of PID controller
    Authors: AU Rehman, MU Khan, MZH Ali, MS Shah, MF Ullah, M Ayub
    Year: 2021
    Citations: 21
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: Classification of pulmonary viruses X-ray and detection of COVID-19 based on invariant of inception-V3 deep learning model
    Authors: Z Saeed, MU Khan, A Raza, H Khan, J Javed, A Arshad
    Year: 2021
    Citations: 19
    Source: 2021 International Conference on Computing, Electronic and Electrical

  • Title: Classification of phonocardiography based heart auscultations while listening to Tilawat-e-Quran and music using vibrational mode decomposition
    Authors: MU Khan, S Samer, A Samer, A Mobeen, A Arshad, H Khan
    Year: 2021
    Citations: 18
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: MSF-GhostNet: Computationally-Efficient YOLO for Detecting Drones in Low-Light Conditions
    Authors: M Misbah, MU Khan, Z Kaleem, A Muqaibel, MZ Alam, R Liu, C Yuen
    Year: 2024
    Citations: 5
    Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

  • Title: Multi-Sensor Fusion for Remote Sensing of Metallic and Non-metallic Object Classification in Complex Soil Environments and at Different Depths
    Authors: MU Khan, MA Kamran, WR Khan, MM Ibrahim, MU Ali, SW Lee
    Year: 2024
    Citations: 5
    Source: IEEE Transactions on Geoscience and Remote Sensing

  • Title: Mathematical Modelling and Implementation of 2DOF Standard, Parallel & Series PID Controllers
    Authors: AU Rehman, MU Khan, MT Rehman, W Shehzad, S Zaman, MW Khan
    Year: 2021
    Citations: 5
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: Diabetes Prediction Using an Optimized Variational Quantum Classifier
    Authors: WR Khan, MA Kamran, MU Khan, MM Ibrahim, KS Kim, MU Ali
    Year: 2025
    Citations: 4
    Source: International Journal of Intelligent Systems 2025 (1), Article 1351522

  • Title: Deep Learning Empowered Fast and Accurate Multiclass UAV Detection in Challenging Weather Conditions
    Authors: MU Khan, M Dil, M Misbah, FA Orakazi, MZ Alam, Z Kaleem
    Year: 2022
    Citations: 4
    Source: Conference Publication

  • Title: Brain Tumor Detection Based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations
    Authors: MU Khan, H Khan, A Arshad, NK Baloch, A Shaheen, F Tariq
    Year: 2021
    Citations: 3
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
    Authors: A Suleman, Y Alkhrijah, MU Khan, H Khan, MAHA Faiz, MA Alawad, et al.
    Year: 2025
    Source: arXiv preprint arXiv:2505.00839

  • Title: Migration of CADI to Fence
    Authors: M Imran, MU Khan, RMA Shad, A Samantas, A Pfeiffer, J Closier
    Year: 2025

✅ Conclusion

Professor Misha Urooj Khan exemplifies a visionary researcher whose interdisciplinary breadth and leadership set her apart. With robust academic credentials, global professional experience at centers like CERN and NCP, and impactful publications and patents, she drives innovation in quantum-AI, embedded systems, robotics, and cybersecurity. Her product-oriented mindset—evident in startups like USteth and PAK‑AeroSafe—coupled with her mentoring of junior researchers, underscores both strategic vision and social impact. Her consistent accolades and scholarly presence (658 citations) affirm her research quality and influence. Combining groundbreaking technical achievements, real-world applications, and academic excellence, Professor Khan stands as a compelling candidate for top-tier research distinctions and awards.

Subhan Ullah | Applied Mathematics | Best Researcher Award

Dr. Subhan Ullah | Applied Mathematics | Best Researcher Award

Teacher at University of Malakand, Pakistan

Dr. Subhan Ullah is a dedicated Pakistani researcher in applied mathematics, specializing in fluid mechanics 🌊, nanofluids 🔬, and epidemic modeling 🦠. With a Ph.D. from the University of Malakand, his research on Jeffery-Hamel flows and thermodynamic analyses in convergent/divergent channels demonstrates a commitment to solving real-world engineering challenges 🔧. Dr. Ullah’s collaborative publications in reputable journals reflect his strong team-oriented approach 🤝. As a lecturer and mentor, he inspires students at various educational levels 📚. He is passionate about research and education, aiming to contribute both academically and practically. To elevate his candidacy for top-tier awards 🏆, Dr. Ullah can further strengthen his international visibility, leadership in research, and innovation, ensuring a lasting impact in the global mathematics community 🌍.

Professional Profile 

Education 🎓

Dr. Subhan Ullah’s academic journey is deeply rooted in mathematics, marked by his Ph.D. from the University of Malakand (2020–2023) with a dissertation on heat transfer in Jeffery-Hamel flows 🌊. He earned an M.S. in Mathematics (2012–2014) from Bacha Khan University, exploring the dynamics of epidemic diseases 🦠, and an M.Sc. (2009–2011) from the University of Malakand. His educational foundation was laid through a B.Sc. (2005–2007) and earlier schooling at Government Centennial Model High School Timergara. This solid academic progression showcases his commitment to mathematical sciences 📐, equipping him with advanced theoretical and analytical skills essential for tackling complex fluid dynamics, mathematical biology, and other applied mathematics challenges.

Professional Experience 💼

Dr. Subhan Ullah is an accomplished academician with extensive teaching and research experience. He currently serves as a full-time researcher at the University of Malakand, focusing on applied mathematics and interdisciplinary projects 🤝. His earlier roles as a Lecturer at Bukhara College of Science & Technology and The Educator School & College Timergara highlight his dedication to educating undergraduate and postgraduate students 📚. Additionally, he has contributed significantly as a government school teacher, nurturing young minds and fostering a positive learning environment. Throughout his career, Dr. Ullah has consistently designed innovative curricula, organized seminars, and mentored students, reflecting his passion for advancing mathematics education and research excellence in Pakistan and beyond 🇵🇰.

Research Interest 🔍

Dr. Subhan Ullah’s research interests span fluid mechanics 🌊, with a focus on nanofluids 🔬 and fluid flows in convergent/divergent channels, where he explores complex heat transfer and thermodynamic phenomena. His passion extends to mathematical biology, particularly population dynamics, epidemic dynamics, and infectious disease modeling 🦠, reflecting a multidisciplinary approach to real-world problems. His enthusiasm for applied mathematics drives him to investigate diverse research challenges, recognizing its versatile role in addressing engineering, environmental, and biological systems 🌍. This dynamic research portfolio positions Dr. Ullah at the forefront of mathematical modeling, contributing valuable insights and practical solutions to contemporary scientific and industrial challenges 🚀.

Awards and Honors 🏅

Dr. Subhan Ullah has demonstrated notable achievements in research and academia, earning recognition through impactful publications and conference presentations. His research contributions to high-impact journals—such as Physics Letters A, Chaos, Solitons & Fractals, and the International Journal of Energy Research—underscore his commitment to excellence 📈. He has actively participated in academic conferences, including the International Conference “Mathematical Sciences” at the University of Malakand, sharing his innovative research with the global scientific community 🌐. These accomplishments reflect his dedication to advancing mathematical sciences and position him as a deserving candidate for prestigious research awards that celebrate innovation, impact, and leadership in applied mathematics.

Research Skills 🧪

Dr. Subhan Ullah possesses a robust research skillset encompassing mathematical modeling, computational simulations, and theoretical analysis of fluid dynamics and nanofluid flows 🔬. His proficiency in tools like MATLAB, Mathematica, LaTeX, and LYX empowers him to tackle complex differential equations and thermodynamic problems efficiently 💻. He is adept at interdisciplinary collaboration, contributing to projects that intersect engineering, physics, and biological systems 🤝. His skills extend to mentoring undergraduate and graduate researchers, guiding them in research design, data analysis, and academic writing ✍️. These capabilities collectively enable Dr. Ullah to produce high-quality research that bridges theory and practical application, reinforcing his status as a leading researcher in applied mathematics.

Publications Top Notes

Title:
“Heat transfer augmentation of Jeffery–Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.”

Authors:
S. Ullah, Subhan; H.A.S. Ghazwani, Hassan Ali S.; D.N. Khan, Dolat N.; Z.A. Khan, Zareen Abdulhameed.

Year:
2025.

Citation:
S. Ullah, Subhan, H.A.S. Ghazwani, Hassan Ali S., D.N. Khan, Dolat N., and Z.A. Khan, Zareen Abdulhameed (2025). “Heat transfer augmentation of Jeffery–Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.” AIMS Mathematics.

Source:
AIMS Mathematics (2025). Link currently unavailable.

Conclusion 📌

Dr. Subhan Ullah stands out as a highly motivated researcher with a strong academic foundation, extensive teaching experience, and a dynamic research portfolio 📚. His contributions to fluid mechanics, nanofluids, and epidemic modeling underscore his commitment to tackling real-world challenges through applied mathematics 🌍. While his achievements in research and publication are commendable, further strengthening his international collaborations, leading research projects, and securing competitive funding would enhance his candidacy for prestigious awards 🏆. Dr. Ullah’s passion for education, interdisciplinary research, and mentorship ensures that he will continue making impactful contributions to the mathematical sciences community, both in Pakistan and globally, fostering innovation and academic excellence 🚀.

Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Dr. Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Post Doc at Nankai University, China

Dr. Yangshanshan Liu 🎓 is a postdoctoral researcher at the Chern Institute of Mathematics, Nankai University, specializing in Celestial Mechanics, Central Configurations, and Hamiltonian Systems 🌌. With a Ph.D. and Master’s degree from Sichuan University under the guidance of Prof. Shiqing Zhang, her work bridges mathematical theory and computational dynamics. She has published in high-impact journals such as SIAM J. Appl. Dyn. Syst. and J. Geom. Phys. 📚. A former award-winning high school math teacher 🧑‍🏫, Dr. Liu combines educational dedication with scholarly excellence. Her presentations at leading conferences like ICMS and AIMS 2024 🌍 reflect growing international recognition. With a passion for algebraic geometry and programming 💻, Dr. Liu is a rising researcher contributing meaningfully to the global mathematics community through both innovation and outreach.

Professional Profile 

Education 🎓

Dr. Yangshanshan Liu holds a Ph.D. and Master’s degree in Mathematics from Sichuan University, China, where she studied under Prof. Shiqing Zhang. Her doctoral thesis focused on Central Configurations in the Newtonian n-Body Problems with Homogeneous Potentials, while her master’s research addressed symmetric configurations in the planar five-body problem. She earned her Bachelor of Science in Mathematics from Liaoning University, with a thesis exploring stock index volatility using the ARCH model 📈. Her academic journey reflects a strong foundation in both pure and applied mathematics, complemented by analytical and computational rigor. Dr. Liu’s consistent academic excellence is marked by scholarships and recognition at all levels of her education, establishing her as a highly qualified and promising researcher in the mathematical sciences 📘.

Professional Experience 💼 

Dr. Liu is currently a postdoctoral researcher at the prestigious Chern Institute of Mathematics, Nankai University, under the supervision of Prof. Chaofeng Zhu. Since July 2023, she has actively contributed to theoretical research in dynamical systems and celestial mechanics. Prior to her academic career, she served as a Senior High School Mathematics Teacher at Rainbow Education (2010–2017), where she was recognized as “Outstanding Teacher of the Year” 🏆. Her professional path demonstrates a rare blend of teaching excellence and deep research engagement. From mentoring students to contributing original findings to high-level mathematical problems, Dr. Liu has shown versatility, leadership, and an unwavering commitment to the dissemination and advancement of mathematical knowledge at every stage of her career.

Research Interests 🔍

Dr. Liu’s research focuses on Celestial Mechanics, particularly the Newtonian n-Body Problem, Central Configurations, and Hamiltonian Systems. She also delves into Index Theory and Computational Algebraic Geometry, contributing both theoretical and computational insights. Her interdisciplinary approach connects classical mechanics with modern mathematical tools, such as programming and symbolic computation 💻. Dr. Liu aims to explore how geometric and topological methods can enrich our understanding of dynamical systems in higher-dimensional spaces. Her interests extend to practical applications and numerical simulations, facilitating broader applicability of abstract mathematical theories. This versatile research scope not only reinforces the depth of her expertise but also signals her ambition to solve complex real-world and theoretical problems in mathematical physics and geometry 🌌.

Awards and Honors 🏅

Dr. Liu has been recognized throughout her academic journey with numerous scholarships and awards. She received annual Ph.D. and Master’s scholarships from Sichuan University (2017–2023), and was named an Outstanding Graduate Student in 2020. She earned the Liu Yingming Scholarship in 2022, a notable recognition within the School of Mathematics. During her undergraduate years at Liaoning University, she received continuous scholarship support from 2006 to 2010 for academic excellence 📚. Her earlier career in education was equally decorated, earning her the “Outstanding Teacher of the Year” award in 2015 at Rainbow Education. These accolades reflect her diligence, talent, and commitment to both learning and teaching, solidifying her reputation as a dedicated and accomplished figure in the field of mathematics 🏆.

Research Skills 🧠

Dr. Liu possesses strong research skills in mathematical modeling, analytical computation, and dynamical systems. She is proficient in programming and computational algebraic geometry, allowing her to analyze and simulate complex n-body interactions with precision 💻. Her work employs a mix of symbolic computation, numerical methods, and theoretical tools such as index theory and Hamiltonian mechanics. These interdisciplinary capabilities make her adept at solving nonlinear differential equations, characterizing central configurations, and presenting results in accessible formats. Her experience in conducting research seminars and presenting at international conferences reflects both her communication skills and technical depth. These capabilities equip Dr. Liu to contribute significantly to emerging mathematical challenges and collaborative global research in applied and theoretical mathematics 🌐.

Publications Top Notes

  • Title: On the Uniqueness of the Planar 5-Body Central Configuration with a Trapezoidal Convex Hull
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2025
    Citation Count: Not yet available (recent publication)
    Source: Journal of Geometry and Physics, Volume 213, Article ID 105494
    DOI: 10.1016/j.geomphys.2025.105494

  • Title: Stacked Central Configurations with a Homogeneous Potential in ℝ³
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2023
    Citation Count: Not yet available
    Source: SIAM Journal on Applied Dynamical Systems, Volume 22, Issue 2, Pages 635–656
    DOI: 10.1137/22M1495032

Conclusion 🔬

Dr. Yangshanshan Liu is a well-rounded and accomplished mathematician with significant potential in the global academic landscape 🌍. Her transition from an award-winning educator to a productive researcher demonstrates not only her versatility but also a deep commitment to the mathematical sciences. With a focus on celestial mechanics and central configurations, backed by strong computational and analytical skills, Dr. Liu’s work addresses complex theoretical problems with clarity and innovation. Her publications in reputable journals, presentations at major conferences, and consistent academic honors position her as a strong candidate for recognition such as the Best Researcher Award 🏅. She continues to make meaningful contributions to her field, reflecting excellence, resilience, and intellectual rigor in every aspect of her academic career.