Jino L | Applied Mathematics | Best Researcher Award

Posted on 30/06/202530/06/2025 by Math Scientist

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
Scopus Profile
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

Posted on 24/06/202524/06/2025 by Math Scientist

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 📚💼.

Achilleas Theocharis | Mathematical Biology | Best Researcher Award

Posted on 23/06/202523/06/2025 by Math Scientist

Prof. Achilleas Theocharis | Mathematical Biology | Best Researcher Award

Professor of Biochemistry & Molecular Biology at Department of Chemistry, University of Patras, Greece

Professor Achilleas D. Theocharis, Ph.D., is a renowned expert in extracellular matrix pathobiology and cancer signaling, serving as Professor of Biochemistry & Molecular Biology at the University of Patras 🎓. With over 116 peer-reviewed publications, more than 13,750 citations, and an inspiring h-index of 54, his impactful research is globally recognized 📚. He has led and supported 19 international/national funded projects, delivered 27 invited lectures, and organized FEBS Advanced Lecture Courses across Europe 🌍. A committed mentor, he has supervised numerous Ph.D. and M.Sc. students, guiding the next generation of scientists 👩‍🔬👨‍🔬. Prof. Theocharis holds key leadership roles, including Department Head and Vice President of the Hellenic Society of Biochemistry & Molecular Biology, and actively serves on editorial boards of prestigious journals 🏅. Known for scholarly excellence, international collaboration, and academic service, he is a standout candidate for the Best Researcher Award 🏆.

Professional Profile

🎓 Education

Prof. Theocharis earned his Diploma in Chemistry (1994) and Ph.D. in Biochemistry (2000) from the University of Patras, Greece. His early academic journey included pivotal research experiences at prestigious institutions, notably a visiting scientistship at Lund University (1995) and Karolinska Institute (1999–2003), deepening his expertise in immunology, pathology, and cell biology. These formative years fostered a rigorous scientific foundation in extracellular matrix (ECM) biology and cancer research. The immersion in both Greek and Swedish biomedical centers equipped him with exceptional analytical and experimental skills. This strong educational grounding laid the path for his subsequent leadership in matrix pathobiology and translational oncology. Prof. Theocharis remains engaged in continuous learning and scientific excellence, reflected in his extensive academic collaborations and breakthroughs in molecular medicine 🧬.

💼 Professional Experience

Prof. Theocharis is currently Professor of Biochemistry & Molecular Biology at the University of Patras, directing the Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group. His academic career includes roles from Lecturer to Associate Professor (ref. 2003–2019), enriched by visiting professorships at Uppsala, Karolinska, and Paris 12. He has served in key leadership roles — Department Head, University Senate member, and Vice President of the Hellenic Society of Biochemistry & Molecular Biology. Through these positions, he has helped design academic strategies, foster national/international research networks, and support Erasmus programs. As a mentor, he has guided dozens of undergraduate, M.Sc., and Ph.D. students. His professional journey exemplifies dedication to institutional growth, teaching excellence, administrative leadership, and building global scientific bridges 🌐.

🔬 Research Interests

Prof. Theocharis specializes in extracellular matrix pathobiology, cancer biology, cell signaling, and molecular drug targeting. His research explores how ECM components regulate cell behavior, drive cancer progression, and influence therapy responsivity. By dissecting molecular signaling pathways and ECM–cell communication, his work informs drug discovery strategies and new therapeutic targets. He is particularly focused on proteoglycans, serglycin, and matrix metalloproteinases as key regulators of tumor metastasis and microenvironment modulation. With a systems biology mindset, he bridges biochemistry, molecular biology, and translational oncology to address critical challenges in disease treatment and resistance. His prolific output advances basic molecular understanding and paves the way for novel anti-cancer interventions 👩‍🔬🧠.

🏅 Awards & Honors

Prof. Theocharis’s career is marked by numerous accolades, including awards from the Hellenic Society of Biochemistry & Molecular Biology (2000, 2017) and invitations to deliver FEBS Advanced Lecture Courses (2018). He received a prestigious French Government scholarship as a Visiting Professor (2012) and fellowships from FEBS (2002, 2008) and the Hellenic Scholarship Foundation. He also earned the Leonidas Zervas Foundation Award (1999). These honors reflect recognition from both national and international communities for his leadership in extracellular matrix research and cancer biology. Regular invitations as a keynote speaker at FEBS events and inclusion in high-profile research evaluation panels underscore the broader impact and esteem of his scholarly work 🌟.

🛠️ Research Skills

Prof. Theocharis possesses expert-level skills in molecular biology, biochemistry, cell signaling, and extracellular matrix analyses. He is proficient in proteomics, immunohistochemistry, gene editing, and advanced imaging techniques. His computational biology expertise complements his experimental work, enabling in-depth pathway analysis and data-driven insight. Prof. Theocharis excels in multi-disciplinary collaboration, having co-led over 19 national and international grants. As an active peer reviewer and academic editor, he demonstrates exceptional critical thinking, scholarly rigor, and ethical standards. His dual experience in laboratory research and academic management ensures scientific innovation, reproducibility, and knowledge dissemination. He is known for designing cutting-edge protocols, training students, and advancing translational cancer research and ECM modeling 🧪🔍.

Publications Top Note 📝

Title: The extracellular matrix as a multitasking player in disease
Authors: AD Theocharis, D Manou, NK Karamanos
Year: 2019
Citations: 483
Source: The FEBS Journal, 286(15), 2830–2869
Title: Proteoglycan chemical diversity drives multifunctional cell regulation and therapeutics
Authors: NK Karamanos, Z Piperigkou, AD Theocharis, H Watanabe, M Franchi, …
Year: 2018
Citations: 352
Source: Chemical Reviews, 118(18), 9152–9232
Title: Syndecans–key regulators of cell signaling and biological functions
Authors: NA Afratis, D Nikitovic, HAB Multhaupt, AD Theocharis, JR Couchman, …
Year: 2017
Citations: 314
Source: The FEBS Journal, 284(1), 27–41
Title: Cross-talk between estradiol receptor and EGFR/IGF-IR signaling pathways in estrogen-responsive breast cancers: focus on the role and impact of proteoglycans
Authors: SS Skandalis, N Afratis, G Smirlaki, D Nikitovic, AD Theocharis, …
Year: 2014
Citations: 257
Source: Matrix Biology, 35, 182–193
Title: Matrix modeling and remodeling: A biological interplay regulating tissue homeostasis and diseases
Authors: NK Karamanos, AD Theocharis, T Neill, RV Iozzo
Year: 2019
Citations: 251
Source: Matrix Biology, 75, 1–11
Title: Proteoglycans remodeling in cancer: Underlying molecular mechanisms
Authors: AD Theocharis, NK Karamanos
Year: 2019
Citations: 211
Source: Matrix Biology, 75, 220–259
Title: Pancreatic carcinoma is characterized by elevated content of hyaluronan and chondroitin sulfate with altered disaccharide composition
Authors: AD Theocharis, ME Tsara, N Papageorgacopoulou, DD Karavias, …
Year: 2000
Citations: 208
Source: Biochimica et Biophysica Acta (BBA) – Molecular Basis of Disease, 1502(2), 201–206
Title: Estrogen receptor alpha mediates epithelial to mesenchymal transition, expression of specific matrix effectors and functional properties of breast cancer cells
Authors: P Bouris, SS Skandalis, Z Piperigkou, N Afratis, K Karamanou, AJ Aletras, …
Year: 2015
Citations: 200
Source: Matrix Biology, 43, 42–60
Title: Serglycin is involved in TGF-β induced epithelial-mesenchymal transition and is highly expressed by immune cells in breast cancer tissue
Authors: M Tellez-Gabriel, X Tekpli, TM Reine, B Hegge, SR Nielsen, M Chen, …
Year: 2022
Citations: 17
Source: Frontiers in Oncology, 12, 868868
Title: Preclinical evaluation of zoledronate using an in vitro mimetic cellular model for breast cancer metastatic bone disease
Authors: PG Dedes, I Kanakis, C Gialeli, AD Theocharis, T Tsegenidis, D Kletsas, …
Year: 2013
Citations: 16
Source: Biochimica et Biophysica Acta (BBA) – General Subjects, 1830(6), 3625–3634
Title: Pathophysiology and pharmacological targeting of tumor-induced bone disease: current status and emerging therapeutic interventions
Authors: VT Labropoulou, AD Theocharis, A Symeonidis, SS Skandalis, …
Year: 2011
Citations: 15
Source: Current Medicinal Chemistry, 18(11), 1584–1598
Title: IGF-I affects glycosaminoglycan/proteoglycan synthesis in breast cancer cells through tyrosine kinase-dependent and-independent pathways
Authors: TN Mitropoulou, AD Theocharis, D Nikitovic, NK Karamanos, …
Year: 2004
Citations: 14
Source: Biochimie, 86(4–5), 251–259
Title: Resistance to hormone therapy in breast cancer cells promotes autophagy and EGFR signaling pathway
Authors: KE Siatis, E Giannopoulou, D Manou, P Sarantis, MV Karamouzis, …
Year: 2023
Citations: 11
Source: American Journal of Physiology – Cell Physiology, 325(3), C708–C720
Title: Hyaluronan determination: Biological significance & analytical tools
Authors: CJ Malavaki, I Kanakis, AD Theocharis, FN Lamari, NK Karamanos
Year: 2007
Citations: 11
Source: Current Pharmaceutical Analysis, 3(2), 117–128
Title: Synthesis and antiproliferative activity of novel dehydroabietic acid-chalcone hybrids
Authors: S Grigoropoulou, D Manou, AI Antoniou, A Tsirogianni, C Siciliano, …
Year: 2022
Citations: 10
Source: Molecules, 27(11), 3623
Title: Cellular microenvironment in human pathologies
Authors: D Vigetti, M Götte, MSG Pavão, AD Theocharis
Year: 2013
Citations: 10
Source: BioMed Research International, 2013, 946958
Title: Immunological studies of sheep brain keratan sulphate proteoglycans
Authors: N Papageorgakopoulou, AD Theocharis, SS Skandalis, DH Vynios, …
Year: 2002
Citations: 10
Source: Biochimie, 84(12), 1223–1226
Title: Isolation and analysis of a novel acidic polysaccharide from the case of squid pen
Authors: AD Theocharis, NK Karamanos, T Tsegenidis
Year: 1999
Citations: 10
Source: International Journal of Biological Macromolecules, 26(1), 83–88
Title: Immunization with specific polysaccharide antigen reduces alterations in corneal proteoglycans during experimental slime-producing Staphylococcus epidermidis keratitis
Authors: CD Georgakopoulos, AM Exarchou, SP Gartaganis, F Kolonitsiou, …
Year: 2006
Citations: 9
Source: Current Eye Research, 31(2), 137–146
Title: Keratan sulfate‐containing proteoglycans in sheep brain with particular reference to phosphacan and synaptic vesicle proteoglycan isoforms
Authors: EA Sinouris, SS Skandalis, V Kilia, AD Theocharis, DA Theocharis, …
Year: 2009
Citations: 8
Source: Biomedical Chromatography, 23(5), 455–463

🏁 Conclusion

Prof. Achilleas D. Theocharis is a distinguished leader in extracellular matrix science and cancer biology. With an impressive portfolio — 116 publications, 13,750 citations, dual h-indices (Scopus: 47; Google Scholar: 54), and 27 invited lectures — he exemplifies research excellence 🌟. His contributions span from fundamental mechanism elucidation to clinical relevance, supported by strong mentorship and institutional leadership. His roles in national/international scientific societies, editorial boards, and grant panels underscore his collaborative vision. While continuing to grow in translational impact, he builds a legacy of innovation, education, and scientific integrity. Prof. Theocharis is a compelling candidate for the Best Researcher Award, combining scholarly brilliance with global influence and community service 🏆.

Qi Zhang | Mathematical Modeling | Best Researcher Award

Posted on 21/06/202521/06/2025 by Math Scientist

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

Senior Researcher at Shandong University, China

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

Professional Profile

🎓 Education

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

💼 Professional Experience

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

🔬 Research Interests

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

🏅 Awards and Honors

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

🛠️ Research Skills

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

Publications Top Note 📝

Title: A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
Authors: Q. Zhang, Y. Shang, Y. Li, N. Cui, B. Duan, C. Zhang
Year: 2020
Citations: 138
Source: ISA Transactions, Vol. 97, pp. 448–457
Title: Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter
Authors: B. Duan, Q. Zhang, F. Geng, C. Zhang
Year: 2020
Citations: 124
Source: International Journal of Energy Research, Vol. 44(3), pp. 1724–1734
Title: Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter
Authors: R. Zhu, B. Duan, J. Zhang, Q. Zhang, C. Zhang
Year: 2020
Citations: 109
Source: Applied Energy, Vol. 277, Article 115494
Title: A sine-wave heating circuit for automotive battery self-heating at subzero temperatures
Authors: Y. Shang, K. Liu, N. Cui, Q. Zhang, C. Zhang
Year: 2019
Citations: 95
Source: IEEE Transactions on Industrial Informatics, Vol. 16(5), pp. 3355–3365
Title: Multicell-to-Multicell Equalizers Based on Matrix and Half-Bridge LC Converters for Series-Connected Battery Strings
Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, Z. Zhou, C. Zhang
Year: 2019
Citations: 90
Source: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8(2)
Title: A cell-to-cell equalizer based on three-resonant-state switched-capacitor converters for series-connected battery strings
Authors: Y. Shang, Q. Zhang, N. Cui, C. Zhang
Year: 2017
Citations: 84
Source: Energies, Vol. 10(2), Article 206
Title: An optimized mesh-structured switched-capacitor equalizer for lithium-ion battery strings
Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, C. Zhang
Year: 2018
Citations: 79
Source: IEEE Transactions on Transportation Electrification, Vol. 5(1), pp. 252–261
Title: Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
Authors: Y. Shang, C. Zhu, G. Lu, Q. Zhang, N. Cui, C. Zhang
Year: 2020
Citations: 76
Source: Journal of Power Sources, Vol. 450, Article 227435
Title: Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives
Authors: X. Liu, C. Zhang, K. Li, Q. Zhang
Year: 2017
Citations: 72
Source: ISA Transactions, Vol. 71, pp. 542–552
Title: Fractional calculus based modeling of open circuit voltage of lithium-ion batteries for electric vehicles
Authors: Q. Zhang, N. Cui, Y. Li, B. Duan, C. Zhang
Year: 2020
Citations: 62
Source: Journal of Energy Storage, Vol. 27, Article 100945
Title: An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles
Authors: C. Zhang, Y. Kang, B. Duan, Z. Zhou, Q. Zhang, Y. Shang, A. Chen
Year: 2021
Citations: 55
Source: IEEE Transactions on Industrial Electronics, Vol. 69(9), pp. 9121–9132
Title: Fractional-order modeling of lithium-ion batteries using additive noise assisted modeling and correlative information criterion
Authors: M. Yu, Y. Li, I. Podlubny, F. Gong, Y. Sun, Q. Zhang, Y. Shang, B. Duan
Year: 2020
Citations: 52
Source: Journal of Advanced Research, Vol. 25, pp. 49–56
Title: Optimal planning of electric vehicle charging stations considering user satisfaction and charging convenience
Authors: D. Xu, W. Pei, Q. Zhang
Year: 2022
Citations: 43
Source: Energies, Vol. 15(14), Article 5027
Title: A neural network fuzzy energy management strategy for hybrid electric vehicles based on driving cycle recognition
Authors: Q. Zhang, X. Fu
Year: 2020
Citations: 42
Source: Applied Sciences, Vol. 10(2), Article 696
Title: Parameter matching optimization of a powertrain system of hybrid electric vehicles based on multi-objective optimization
Authors: X. Fu, Q. Zhang, J. Tang, C. Wang
Year: 2019
Citations: 32
Source: Electronics, Vol. 8(8), Article 875
Title: Variable fractional order—A comprehensive evaluation indicator of lithium-ion batteries
Authors: Y. Sun, Y. Li, M. Yu, Z. Zhou, Q. Zhang, B. Duan, Y. Shang, C. Zhang
Year: 2020
Citations: 31
Source: Journal of Power Sources, Vol. 448, Article 227411
Title: Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis
Authors: Z. Zhou, B. Duan, Y. Kang, Y. Shang, Q. Zhang, C. Zhang
Year: 2022
Citations: 30
Source: IEEE Transactions on Industrial Electronics, Vol. 70(3), pp. 2576–2585

🏁 Conclusion

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

Sebastian Pardo Guerra | Applied Mathematics | Best Researcher Award

Posted on 18/06/202518/06/2025 by Math Scientist

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 🏅.

Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Posted on 22/05/202522/05/2025 by Math Scientist

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

Scopus 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.

Fan Yang | Computational Mathematics | Best Researcher Award

Posted on 13/05/202513/05/2025 by Math Scientist

Prof. Fan Yang | Computational Mathematics | Best Researcher Award

Professor at Lanzhou University of Technology, China

Professor Fan Yang 🎓, born in April 1976, is a distinguished mathematician at the School of Science, Lanzhou University of Technology, China. With a solid academic foundation—earning his B.Sc., M.Sc., and Ph.D. from Lanzhou University—he has emerged as a notable expert in inverse problems 🔍 and fractional diffusion equations 🌐. His research contributions span over 14 impactful publications in internationally recognized journals, showcasing innovative regularization techniques like Tikhonov, mollification, and quasi-boundary methods 🧮. His work significantly enhances computational stability in solving complex physical models, particularly heat and Poisson equations 🔥➕. Professor Yang collaborates closely with scholars like Chu-Li Fu and Xiao-Xiao Li, reflecting his team-driven approach and scientific synergy 🤝. While his global visibility could be further amplified, his technical depth, precision, and dedication place him among the front-runners in applied mathematics. A trailblazer in mathematical physics, Prof. Yang continues to illuminate intricate problems with clarity and rigor ✨.

Professional Profile

Scopus Profile
ORCID Profile

📘 Education

Professor Fan Yang 🎓 embarked on his academic path at Lanzhou University, a premier institution in China 🇨🇳. He obtained his Bachelor’s degree in Mathematics in 2000, deepening his analytical foundations. Committed to advancing knowledge, he earned his Master’s degree in 2007 and later achieved his Doctoral degree in 2014, specializing in mathematical physics equations. This progressive academic journey illustrates a firm dedication to mathematical excellence 📐. His scholarly roots at Lanzhou University equipped him with the skills to explore abstract theories and practical modeling 🧠. The consistent pursuit of higher education across nearly 15 years showcases his unwavering commitment to mastering complexity and innovation. His academic development has been vital in shaping him into a respected voice within the mathematical research community 🔍.

💼 Professional Experience

Professor Fan Yang currently holds a prestigious role at the School of Science, Lanzhou University of Technology 🏫, where he serves as a full professor. With a career rooted in academia, he has accumulated decades of teaching, mentorship, and research leadership 📊. Over the years, he has played a central role in guiding both undergraduate and postgraduate students, helping nurture the next generation of mathematical minds 👨‍🏫. His collaborative efforts with other scholars and his role in departmental research initiatives reflect his deep integration into academic life 🧩. Prof. Yang’s dedication to fostering scientific thought and problem-solving capacity makes him a pillar of his department. His evolving role from student to faculty leader exemplifies his rise through perseverance, expertise, and scholarly drive 🚀.

🔬 Research Interest

Prof. Fan Yang’s research orbits around inverse problems and fractional diffusion equations, niche yet powerful areas within applied mathematics 🧠. His work primarily addresses ill-posed problems in mathematical physics, especially those modeling heat and source detection phenomena 🔥🧊. His innovative application of regularization techniques—such as Tikhonov, truncation, and mollification—enhances stability and solution accuracy in computational models. He focuses on determining unknown parameters from partial data, contributing solutions to real-world problems in geophysics, medical imaging, and thermal analysis 🌍💡. This niche research supports the broader scientific community in understanding and interpreting complex systems. With publications in high-impact journals and a track record of meaningful inquiry, Prof. Yang continues to redefine mathematical boundaries, blending theory and application in impactful, forward-thinking ways 📈🔎.

🏅 Awards and Honors

Though specific awards and honors are not listed in detail, Professor Fan Yang’s academic recognition is evident through consistent publications in reputable international journals 📰. Journals such as Applied Mathematical Modelling, Journal of Inverse and Ill-Posed Problems, and Computational and Applied Mathematics have showcased his findings, underscoring the scholarly value of his work 🏆. His research has earned collaboration with distinguished mathematicians, a subtle indicator of peer recognition and respect 🤝. Serving as a professor at a top Chinese university further indicates institutional acknowledgment of his contributions 🎖️. While formal accolades may not be detailed here, Prof. Yang’s enduring presence in high-level research forums and his intellectual influence make him a quiet achiever whose work speaks volumes through citations and scholarly impact 🌟.

📌 Conclusion

Professor Fan Yang is a dedicated scholar whose academic path, professional evolution, and focused research agenda reflect a life devoted to scientific advancement 🔭. From tackling complex inverse problems to refining numerical solutions for fractional equations, his work resonates across mathematical physics and engineering realms 🌐. With a foundation built at Lanzhou University and a professorship at Lanzhou University of Technology, his influence continues to grow 📘💡. While he may remain understated in accolades, his scholarly contributions are undeniable—spanning critical journals and collaborative research 🧩. Prof. Yang exemplifies how dedication, precision, and thoughtful inquiry can shape the modern mathematical landscape. As a thinker, mentor, and innovator, he is undoubtedly a valuable figure in advancing computational mathematics and applied sciences 💫🧮.

Publications Top Notes

🔹 Title: Simultaneous Inversion of the Source Term and Initial Value of the Multi-Term Time Fractional Slow Diffusion Equation
Authors: L. Qiao, R. Li, Fan Yang, X. Li
Year: 2025 🗓️
Journal: Journal of Applied Analysis and Computation 🏫📚

🔹 Title: Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Authors: Z. Liang, Q. Jiang, Q. Liu, L. Xu, Fan Yang
Year: 2025 🗓️
Journal: Symmetry 📐📚

🔹 Title: PINN Neural Network Method for Solving the Forward and Inverse Problem of Time-Fractional Telegraph Equation
Authors: Fan Yang, H. Liu, X. Li, J. Cao
Year: 2025 🗓️
Citations: 2 📚
Journal: Results in Engineering ⚙️

🔹 Title: Two Regularization Methods for Identifying the Initial Value of Time-Fractional Telegraph Equation
Authors: Y. Liang, Fan Yang, X. Li
Year: 2025 🗓️
Citations: 2 📚
Journal: Computational Methods in Applied Mathematics 📊

🔹 Title: Two Regularization Methods for Identifying the Unknown Source of Sobolev Equation with Fractional Laplacian
Authors: Fan Yang, L.L. Yan, H. Liu, X. Li
Year: 2025 🗓️
Citations: 4 📚
Journal: Journal of Applied Analysis and Computation 🏫

🔹 Title: Two Regularization Methods for Identifying the Source Term of Caputo-Hadamard Type Time Fractional Diffusion-Wave Equation
Authors: Fan Yang, R. Li, Y. Gao, X. Li
Year: 2025 🗓️
Journal: Journal of Inverse and Ill-Posed Problems 🔄📚

🔹 Title: Effect of Surface Effect on Linear Bending Behavior of Nano-Switch Structure
Authors: Fan Yang, X. Wang, C. Li
Year: 2024 🗓️
Journal: Yingyong Lixue Xuebao (Chinese Journal of Applied Mechanics) 🔧📚

🔹 Title: Simultaneous Identification of the Unknown Source Term and Initial Value for the Time Fractional Diffusion Equation with Local and Nonlocal Operators
Authors: L. Qiao, Fan Yang, X. Li
Year: 2024 🗓️
Citations: 3 📚
Journal: Chaos, Solitons and Fractals 🌀

🔹 Title: Analysis of Nonlinear Bending Behavior of Nano-Switches Considering Surface Effects
Authors: Fan Yang, X. Wang, X. Song, W. Yang
Year: 2024 🗓️
Journal: Discover Nano 🔬📚

Dongying Ju | Interdisciplinary Mathematics | Best Innovation Award

Posted on 12/05/202512/05/2025 by Math Scientist

Prof. Dongying Ju | Interdisciplinary Mathematics | Best Innovation Award

CEO at Tokyo Green Power Electric Research Institute Co. Ltd, Japan

Dr. Dongying Ju, a distinguished researcher and innovator, holds multiple prestigious roles, including President of the Japan-China Center for Scientific & Technological & Cultural Exchange and Honorary Professor at Saitama Institute of Technology. With a Ph.D. from Kyoto University, his expertise spans solidification theory, advanced materials, and hydrogen energy technologies. He has published over 445 papers and holds 25 patents. Notably, his work on intelligent heat treatment systems and biodegradable materials is globally impactful. Recognized with Geneva Invention Award (2024) and Excellence Award (CAST 2023), Dr. Ju is an influential academic leader 🌍📚. His contributions to materials science and sustainable innovations make him a key figure in advancing modern engineering 🚗💡.

Professional Profile

Scopus Profile
ORCID Profile

🎓 Education

Dr. Dongying Ju 📘🇨🇳🇯🇵 has a stellar academic foundation grounded in top global institutions. He earned his B.S. from the Hebei Institute of Mechanical and Electrical Engineering (1979) 🏫, pursued graduate studies at Tsinghua University (1985) 🧠, and advanced to complete both his M.S. (1989) and Ph.D. in Engineering (1992) at the prestigious Kyoto University 🎓🇯🇵. This tri-national academic journey shaped his global outlook and technical versatility, equipping him to seamlessly blend Chinese precision, Japanese innovation, and international vision. His academic roots serve as the launchpad for his future-shaping research in material science, advanced manufacturing, and green technologies 🌱🧪.

🏢 Professional Experience

Dr. Ju’s professional journey is a powerhouse of innovation, leadership, and global collaboration 🌍💼. He’s the President of the Japan-China Center for Scientific & Technological Exchange 🌐, Representative Director of Tokyo Green-Motion Electric Technical Research Institute ⚡, and a Foreign Member of The Engineering Academy of Japan 🏅. Formerly a Professor, Vice President, and Director of Research at Saitama Institute of Technology 🧑‍🏫, he has also held executive positions at top firms like Ansteel Group and TOEI ES Co. Ltd. His career unites academia, industry, and policy into a single, influential force of technological advancement 🚀🔧.

🔬 Research Interests

Dr. Ju’s research is a dazzling spectrum of cutting-edge science 🔭💡. From solidification theory ❄️ and multi-physics simulation 💻 to hydrogen energy materials ⚗️🔋 and nanocoatings 🧴, his innovations cross disciplinary borders. He pioneers intelligent heat treatment systems, medical-grade magnesium alloys 🧬, eco-friendly wastewater solutions ♻️, and fuel cell components for a sustainable future 🚗⚙️. His work in visualizing boiling heat transfer and creep behavior in nuclear materials 💥 supports safety and efficiency in high-risk fields. Every project he leads is a blueprint for next-gen industrial systems, human health technologies, and planetary sustainability 🌎💠.

🏆 Awards & Honors

Dr. Ju’s legacy is stamped with distinction 🥇📜. He received the 2024 Geneva International Invention Award 🏅, the 2023 Excellence Award from CAST 🏆, and accolades from IMS for both innovation and publication 🧾✨. He’s published over 445 academic papers 📚 (231 SCI-indexed), authored 12 influential books 📖, and secured 25 patents 🧠🔒—including one international patent. As a respected editor, reviewer, and board member for top journals, he shapes scientific narratives globally 🌐. Recognized across borders for his scientific foresight, Dr. Ju epitomizes the trailblazing spirit worthy of high-level recognition 🥂🚀.

✅ Conclusion

Dr. Dongying Ju is a visionary innovator whose work transforms science into real-world impact 🌟🔧. From groundbreaking research to global collaboration, his fingerprints are on future-forward technologies that shape energy, healthcare, environment, and industry. With unwavering dedication and an unmatched record in engineering breakthroughs, his legacy bridges continents and disciplines 🌉🌍. Whether pioneering hydrogen fuel solutions or reinventing heat treatment with AI, Dr. Ju is not just advancing technology—he’s crafting a smarter, greener world 💡🌱. For these reasons, he is an ideal recipient of the Best Innovation Award 🏅🔥—a living symbol of excellence, ingenuity, and international impact.

Publications Top Notes

🔋 Feasible and Applicable Route to Fabricate the K₀.₃Mn₀.₇CoₓFe₀.₃₋ₓO₂ Potassium Positive Material
Authors: S. Ren, Z. Zhang, J. Li, … D. Ju, W. Zhou
Year: 2025
Source: Electrochimica Acta

⚡ Feasible Constructions of Bi@CNT Materials with Extremely High Rate and Na⁺ Storage Performance
Authors: J. Li, X. Miao, B. Han, … L. Tao, W. Zhou
Year: 2025
Source: Journal of Materials Chemistry A

🧠 Multi-objective Process Optimization of Gear Carburization and Quenching Based on ELM-MOPSO Neural Network
Authors: J. Wang, T. Song, T. Wen, … D. Ju, X. Zhang
Year: 2025
Source: Materials Today Communications

🔬 Study on Microstructure and Electrochemical Properties of Mg₁.₆Ni₁₋ₓTi₀.₄Mnₓ (x = 0~0.3) Alloy
Authors: J. Wang, Y. Liang, F. Wang, … X. Zhang, J. Ma
Year: 2024
Source: Coatings (Open Access)

🤖 Development of an Intelligent Design and Simulation Aid System for Heat Treatment Processes Based on LLM
Authors: Y. Sun, X. Li, C. Liu, … T. Song, D. Ju
Year: 2024
Citations: 1
Source: Materials and Design (Open Access)

🧪 Sulphonated Coal Tar Pitch as a Carbon Source to Develop the Storage Capacity of Fe₂O₃@C Materials
Authors: J. Li, X. Miao, B. Han, … H. Yu, W. Zhou
Year: 2024
Citations: 1
Source: Catalysis Today

🛠️ Numerical Simulation of Low Pressure Carburizing Process for 20CrMnTi Steel
Authors: X. Deng, W. Song, Y. Fan, … Y. Xu, D. Ju
Year: 2024
Source: Jinshu Rechuli / Heat Treatment of Metals

🌡️ Multi-field Coupling Simulation Analysis of 20MnCrS5 Vacuum Low Pressure Carburizing and Gas Quenching
Authors: Z. Zhang, X. Deng, Y. Fan, … Y. Xu, D. Ju
Year: 2024
Source: Surface Technology

🔋 An Asymmetric Electrode Matching Reversible Kinetics of Oxygen Reaction for a Rechargeable Zn-air Battery
Authors: S. Li, H. Zhang, L. Wu, … D. Ju, B. An
Year: 2024
Citations: 5
Source: Chemical Engineering Journal

🧲 The Evolution of Microstructure and Electromagnetic Interference Shielding Effectiveness of Mg-2Mn-1Ce Alloy Prepared by Accumulative Roll Bonding Process
Authors: W. Zhang, Z. Su, X. Hu, D. Ju, H. Zhao
Year: 2024
Source: Journal of Materials Engineering and Performance

Asma Iqbal | Mathematical Modeling | Best Researcher Award

Posted on 08/05/202509/05/2025 by Math Scientist

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

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

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

Professional Profile

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ORCID Profile

Education 🎓📘🧠

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

Professional Experience 🏢🧪

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

Research Interests 🧪🔬♻️

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

Awards and Honors 🏆📜🌟

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

Conclusion 🌟🎯

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

Publications Top Notes

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

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

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

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

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

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

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

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

Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

Posted on 08/05/202508/05/2025 by Math Scientist

Dr. Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

Ph.D at Quaid e Azam University Islamabad, Pakistan

Dr. Rahman Ullah Khan is an accomplished mathematician specializing in fractional differential equations and fixed point theory. 🎓 Currently pursuing his Ph.D. at Quaid-i-Azam University, Islamabad, his research focuses on the existence, uniqueness, and stability of solutions to complex fractional systems. His work combines rigorous mathematical theory with computational techniques, utilizing tools like MATLAB and Mathematica for numerical solutions. 💻 Dr. Khan has published several notable papers in high-impact journals, including Boundary Value Problems and Physica Scripta, showcasing his expertise in advanced mathematical analysis. 📚 He actively contributes to the academic community by presenting his findings at international conferences and engaging in teaching roles, mentoring future mathematicians. 🌍 Beyond his research, Dr. Khan has demonstrated leadership in organizing seminars and events to promote mathematical education and global collaborations. His dedication to advancing the field of pure mathematics, combined with his passion for knowledge-sharing, makes him a standout researcher. 🌟

Professional Profile

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Education

Dr. Rahman Ullah Khan holds a Ph.D. in Mathematics from Quaid-i-Azam University, Islamabad, Pakistan, where he is currently conducting research on fractional differential equations and fixed point theory. 🎓 He completed his M.Phil. in Mathematics at the same institution, with an exceptional GPA, demonstrating his strong foundation in applied and pure mathematics. 📚 Throughout his academic journey, Dr. Khan’s thesis focused on solving fractional differential equations using advanced mathematical techniques, which showcased his commitment to solving complex mathematical problems.

Professional Experience

Dr. Khan’s professional journey includes serving as a teaching assistant at Quaid-i-Azam University, where he taught fractional differential equations and applied mathematics. 📘 He has also worked as a private math tutor, helping students grasp complex mathematical concepts. Additionally, he has held leadership roles, including Vice President of the Quaidian Mathematical Society, and has organized seminars to enhance the academic community’s knowledge of mathematics. 🌐

Research Interests

Dr. Khan’s research interests are primarily centered on fractional differential equations and fixed point theory. 🧠 He focuses on solving fractional systems using fixed point theorems to establish solution existence, uniqueness, and stability. His work applies these concepts to real-world problems, using computational methods such as MATLAB to simulate and analyze results. 💡 His research aims to bridge the gap between theoretical mathematics and its applications in areas like engineering and physics, with an emphasis on making mathematical models more efficient and practical. 🔍

Awards and Honors

Dr. Khan has received recognition for his exceptional academic performance, including high GPAs in both his M.Phil. and Ph.D. programs. 🌟 His contributions to mathematics are widely respected, and his research articles have been published in reputable journals like Boundary Value Problems and Physica Scripta. 🏆 He has also been invited to present his findings at several international conferences, where his work on fractional differential equations has been well-received. 🌍

Conclusion

Dr. Rahman Ullah Khan is a promising and passionate mathematician with a strong academic background and significant research contributions in the field of fractional differential equations and fixed point theory. 📈 His deep knowledge, combined with computational skills and leadership in the academic community, makes him an asset to the field of mathematics. With a commitment to advancing mathematical solutions for real-world problems, Dr. Khan is poised for further success in both research and teaching. 🌟 His dedication to knowledge-sharing and solving complex mathematical problems continues to inspire future generations of mathematicians.

Publications Top Notes

📘 On qualitative analysis of a fractional hybrid Langevin differential equation with novel boundary conditions
Authors: G Ali, RU Khan, Kamran, A Aloqaily, N Mlaiki
Year: 2024
Citation: Boundary Value Problems 2024 (1), 62
Source: Boundary Value Problems

🔍 The study of nonlinear fractional boundary value problems involving the p-Laplacian operator
Authors: AU Khan, RU Khan, G Ali, S Aljawi
Year: 2024
Citation: Physica Scripta 99 (8), 085221
Source: Physica Scripta

🌐 The Existence and Stability of Integral Fractional Differential Equations
Authors: RU Khan, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (5), 295
Source: Fractal and Fractional

📝 Some novel existence and stability results for a nonlinear implicit fractional differential equation with non-local boundary conditions
Authors: RU Khan, IL Popa
Year: 2025
Citation: Partial Differential Equations in Applied Mathematics 13, 101132
Source: Partial Differential Equations in Applied Mathematics

💡 New Results on the Stability and Existence of Langevin Fractional Differential Equations with Boundary Conditions
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (2), 127
Source: Fractal and Fractional

🔬 Existence and Stability of Implicit Fractional Differential Equations Involving the p-Laplacian Operator and Their Applications
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2024
Citation: Physica Scripta
Source: Physica Scripta

🧮 On the qualitative analysis of the boundary value problem of the Ψ-Caputo implicit fractional pantograph differential equation
Authors: RU Khan, M Samreen, G Ali, I Argyros
Year: 2024
Citation: Journal of Applied Math 2 (6), 1977-1977
Source: Journal of Applied Math