Ramoshweu Solomon Lebelo | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo | Mathematics | Best Researcher Award

Vaal University of Technology | South Africa

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo is a distinguished academic and researcher in the field of applied physical sciences, serving at the Vaal University of Technology. With a strong background in Mechanical Engineering and specialization in Theoretical Fluid Dynamics, he has established himself as a recognized authority in Computational Fluid Dynamics (CFD), Mathematical Biology, and Mathematics Education. His career reflects a balance between teaching, research, scholarly publishing, and academic leadership, positioning him as a vital contributor to both local and international scientific communities. He has published extensively in peer-reviewed journals indexed in Scopus and ISI, authored and co-authored books, and contributed to the advancement of research through editorial roles and special issue guest editorships. Dr. Lebelo is also a committed mentor, guiding students in research and academic growth, and has actively participated in more than thirty international conferences where he has shared his expertise and findings. His dedication extends beyond academia through his involvement in volunteer platforms, editorial services, and authorship of books with broader educational and societal impact. Overall, his work demonstrates a unique blend of innovation, leadership, and service that makes him a respected scholar in his field.

Professional Profile

Scopus | ORCID

Education

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo holds a Ph.D. in Mechanical Engineering with a specialization in Theoretical Fluid Dynamics, which laid the foundation for his deep engagement in Computational Fluid Dynamics and applied mathematics research. His educational path provided him with both theoretical insight and practical knowledge, allowing him to pursue a wide range of multidisciplinary research areas. During his doctoral training, he developed advanced computational and mathematical modelling skills, enabling him to approach complex physical and engineering problems with rigorous analytical frameworks. His academic background also extends into applied physical sciences, providing him with a versatile foundation to teach, conduct research, and contribute to academic curricula in engineering and mathematics education. Dr. Lebelo’s educational experience has been marked by a balance of research, teaching, and applied study, equipping him with the capability to supervise postgraduate students and lead interdisciplinary collaborations. His scholarly journey reflects a strong commitment to academic excellence and a determination to contribute to both theoretical understanding and real-world problem-solving. Through his education, he has acquired the skills, knowledge, and academic credibility that continue to guide his contributions as a respected researcher and Associate Professor.

Professional Experience

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo’s professional experience encompasses academic teaching, research leadership, editorial responsibilities, and contributions to scientific dialogue at global platforms. At the Vaal University of Technology, he has played a significant role in advancing research in applied physical sciences while mentoring students and supporting academic programs in engineering and mathematics. His teaching extends to both undergraduate and postgraduate levels, focusing on mechanical engineering, computational techniques, and mathematical modelling. In addition to teaching, he has made substantial contributions as an editor and reviewer for over twenty international peer-reviewed journals, and he serves on editorial boards of several recognized publications. His experience includes guest-editing multiple special issues in fields such as mathematical applications, CFD, and differential equations, demonstrating his leadership in shaping research directions. Beyond editorial service, he has authored textbooks, research monographs, and co-edited volumes that support both academic and applied communities. Participation in international conferences has allowed him to disseminate his research findings, build networks, and engage in global collaborations. This broad professional experience highlights his academic leadership, influence in advancing scientific research, and his role as an educator committed to excellence and innovation in applied sciences.

Research Interests

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo research interests are highly interdisciplinary, bridging Mechanical Engineering, Applied Mathematics, and Biology. His primary specialization lies in Computational Fluid Dynamics (CFD), where he explores complex fluid systems through mathematical modelling and numerical simulations. This area of research allows him to address challenges in engineering, environmental sciences, and biomedical applications. He is equally engaged in Mathematical Biology, contributing models that examine biological processes and systems with applications in medicine and environmental sustainability. His interest in Mathematics Education reflects his commitment to advancing teaching methodologies and improving student engagement in engineering and mathematical sciences. Additionally, he has dedicated his efforts to developing advanced modelling approaches using differential equations, numerical methods, and simulation techniques. Through these research pursuits, Dr. Lebelo contributes not only to theoretical knowledge but also to applied problem-solving in science, technology, and education. His interdisciplinary focus enables him to foster collaborations across academic domains and engage in research that impacts both academia and industry. His body of work reflects a long-term vision to use mathematics and computation as tools for solving complex, real-world problems while simultaneously advancing academic learning and research.

Research Skills

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo possesses a diverse range of research skills that strengthen his ability to conduct and lead multidisciplinary studies. His expertise in Computational Fluid Dynamics equips him with advanced modelling, simulation, and analytical abilities essential for investigating fluid flow and engineering processes. He has strong skills in applied mathematics, particularly in differential equations, numerical analysis, and mathematical modelling, which he applies to both engineering and biological systems. His editorial work further demonstrates his ability to critically evaluate scientific manuscripts and contribute to shaping global research standards. In addition, he is skilled in research communication, having presented at more than thirty international conferences where he has shared complex ideas with clarity. His authorship of textbooks and research books highlights his capacity for synthesizing knowledge into accessible resources for students and professionals. Beyond technical abilities, Dr. Lebelo’s research skills include project leadership, mentoring students, and collaborating across international research teams. His combination of technical, analytical, and leadership skills reflects not only his capacity as a researcher but also as a thought leader who can influence the future of science and education.

Awards and Honors

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo has earned recognition for his academic and professional contributions through numerous honors, roles, and achievements. His reputation as a reviewer for more than twenty peer-reviewed journals highlights his respected standing in the global scientific community. His selection to serve on editorial boards and guest-edit special issues in prestigious journals reflects international acknowledgment of his expertise. Notably, he has edited volumes in areas such as mathematical applications, CFD, and applied mathematics, further strengthening his academic influence. His authorship and co-editorship of textbooks and research monographs, including works published by MDPI, Scientific.Net, and Frontiers, demonstrate his contribution to shaping academic discourse in engineering and applied mathematics. Beyond academic publishing, he has also authored spiritual books, expanding his impact beyond the scientific community into broader cultural and social contexts. His participation in over thirty international conferences, both as a presenter and academic representative, signifies recognition of his expertise on global platforms. These collective honors and accomplishments underscore his dedication, excellence, and leadership in advancing research, education, and societal contributions.

Publication Top Notes

  1. Irreversibility Analysis of Hydromagnetic Casson Fluid Flow Through an Inclined Channel with Isothermal Boundary Conditions — 2025

  2. Energy Efficacy Enhancement in a Reactive Couple-Stress Fluid Induced by Electrokinetics and Pressure Gradient with Variable Fluid Properties — 2025 — 1 citation

  3. Modelling epidemiological dynamics with pseudo-recovery via fractional-order derivative operator and optimal control measures — 2025 — 3 citations

  4. Convective and Radiative Heat Transfer Analysis in a Three-Step Exothermic Chemical Reaction: Case Study—Methane Combustion — 2025

  5. Impact of Optimal Intervention Strategies on Psychoactive Substance Abuse Dynamics With Addicted Immigrants: A Mathematical Study — 2025 — 1 citation

  6. Transformative learning in the PGDHE programmme at one university of technology in South Africa — 2025

  7. Modelling and Optimal Control of Influenza Dynamics with Structured Populations Based on Education and Isolation — 2025 — 1 citation

Conclusion

Assoc. Prof. Dr. Ramoshweu Solomon Lebelo stands out as a remarkable academic whose contributions span teaching, research, publishing, and leadership in applied physical sciences. His work in Computational Fluid Dynamics, Mathematical Biology, and Mathematics Education has not only enriched theoretical understanding but also addressed real-world challenges across multiple disciplines. By publishing extensively, serving as an editor and reviewer, and authoring influential books, he has played a vital role in advancing scientific knowledge and shaping the academic community. His recognition at international conferences, along with his mentorship of students, demonstrates his role as both a leader and educator dedicated to future generations of scientists and engineers. The honors and editorial positions he has earned further solidify his reputation as a trusted and respected figure in the global research community. With a strong vision for interdisciplinary collaboration, he is poised to continue influencing the direction of applied mathematics and engineering research. His career reflects a rare blend of intellectual rigor, professional service, and social impact, making him truly deserving of recognition as a distinguished researcher and academic leader.

Ankur Singh | Mathematics | Young Scientist Award

Dr. Ankur Singh | Mathematics | Young Scientist Award

Assistant Professor from PDEU Gandhinagar, India

Dr. Ankur Singh is an accomplished Assistant Professor (Grade-I) in the Department of Mathematics at Pandit Deendayal Energy University, India. With a Ph.D. in Mathematics from the Indian Institute of Technology (ISM) Dhanbad, he specializes in Algebraic Coding Theory and Number Theory. His research primarily focuses on self-dual codes, quantum codes, and the intricate relationship between lattices and modular forms. Dr. Singh has a robust academic and research background complemented by hands-on experience in teaching undergraduate and postgraduate courses. He has supervised Ph.D. students and actively contributes to organizing academic workshops and conferences. His publications appear in reputable journals covering topics like self-dual codes over finite rings, Jacobi forms, and theta series. Dr. Singh has received funding for research projects, including a significant grant on quantum error-correcting codes from the National Board for Higher Mathematics (NBHM), Government of India. He is a life member of prominent mathematical societies and proficient in using advanced mathematical tools like Mathematica, Sage, and Magma. His work bridges theoretical mathematics with practical applications in coding and cryptography, marking him as a promising candidate for recognition as a young scientist.

Professional Profile

Education

Dr. Ankur Singh completed his Ph.D. in Pure Mathematics at the Indian Institute of Technology (ISM), Dhanbad, in 2020, earning a CGPA of 8.00. His doctoral research focused on codes over finite commutative local rings, lattices induced from codes, theta series, and modular forms. Prior to his Ph.D., he completed his Master of Science in Mathematics at the Indian Institute of Technology Madras in 2013, securing a CGPA of 7.53. His M.Sc. work included complex analysis under the supervision of Prof. M.T. Nair. Dr. Singh holds a Bachelor of Science degree in Mathematics, Physics, and Chemistry from Ewing Christian College, Allahabad (University of Allahabad), completed in 2010 with a commendable 67.67%. His foundational education includes completion of high school studies with strong academic performance in the state of Uttar Pradesh, India. Throughout his academic journey, Dr. Singh has consistently qualified competitive examinations such as GATE and JAM in Mathematics, showcasing his strong mathematical aptitude and theoretical knowledge.

Professional Experience

Dr. Singh currently serves as an Assistant Professor (Grade-I) at Pandit Deendayal Energy University, where he teaches various undergraduate and postgraduate mathematics courses, including Numerical Methods, Linear Algebra, and Discrete Mathematics. Since November 2022, he has been engaged in both teaching and research, mentoring Ph.D. students and coordinating workshops on the applications of mathematics in machine learning. Prior to this, he worked as a faculty member at VIT-AP University from 2019 to 2022, teaching advanced mathematical topics such as Applied Linear Algebra and Differential Equations. During his Ph.D. tenure at IIT (ISM) Dhanbad, Dr. Singh was a Junior and then Senior Research Fellow, where he also served as a teaching assistant, supervising tutorials and laboratory courses. His professional roles have consistently blended teaching, research, and academic leadership, demonstrating his capability to foster knowledge dissemination and contribute to the advancement of mathematical sciences.

Research Interests

Dr. Singh’s research interests lie predominantly in Algebraic Coding Theory and Number Theory. He specializes in the study and construction of self-dual codes, including Type I and Type II codes over finite rings, and their applications in quantum coding and DNA coding. His work extends to the construction of lattices induced from codes and the analysis of their theta series and modular forms such as Jacobi forms and Siegel upper half-plane forms. He also investigates quantum synchronizable codes and explores the relationships between complete weight enumerators and theta series over various number fields. His research integrates deep theoretical mathematics with practical coding applications, particularly in error-correcting codes, cryptography, and quantum information science. This blend of abstract algebra, geometry, and computational tools positions his work at the cutting edge of coding theory and mathematical research.

Research Skills

Dr. Singh is proficient in advanced mathematical software and tools including Mathematica, Sage, and Magma, which he employs for symbolic computations, code construction, and algebraic manipulations. His expertise encompasses coding theory techniques such as generator matrix construction, weight enumerators, and code optimality assessments. He is skilled in analyzing algebraic structures over finite rings and fields and in exploring modular and Jacobi forms within number theory. Additionally, Dr. Singh has experience in supervising mathematical research and guiding Ph.D. candidates, showing strong mentoring and academic leadership abilities. His familiarity with applied mathematics and computational methods allows him to bridge pure mathematics with real-world applications, particularly in cryptography and quantum error correction. This diverse skill set enhances his capability to conduct innovative research and contribute meaningfully to both theoretical and applied mathematical sciences.

Awards and Honors

Dr. Ankur Singh has been the recipient of several prestigious awards and funding grants throughout his career. Notably, he secured a research project grant from the National Board for Higher Mathematics (NBHM), Department of Atomic Energy, India, for the period 2025–2028, focusing on maximum distance separable quantum error-correcting codes. He has also received funding support from the Gujarat DST to organize a workshop on Applications of Mathematics in Machine Learning (AMMLA-2025). His research excellence was recognized early with a Senior Research Fellowship and Junior Research Fellowship at IIT (ISM) Dhanbad. He qualified highly competitive national examinations, including GATE and JAM in Mathematics. Dr. Singh’s memberships include life membership in the Indian Mathematical Society and the Society of Applied Mathematics. His travel grant from NBHM enabled him to participate in international research schools, underscoring his active engagement with the global mathematics community.

Conclusion

Dr. Ankur Singh’s impressive academic background, extensive research contributions, and active involvement in both teaching and organizing scholarly activities mark him as a strong candidate for the Young Scientist Award. His work in algebraic coding theory and number theory is both theoretically profound and practically significant, particularly in emerging fields such as quantum error correction and cryptography. Supported by notable grants and recognized by his peers, Dr. Singh demonstrates the qualities of a promising young researcher with the potential to make impactful advances in mathematics. Continued support and recognition would further empower him to expand his research, foster collaborations, and contribute to the development of innovative mathematical tools and techniques. Overall, Dr. Singh exemplifies the blend of academic excellence, research innovation, and leadership that the Young Scientist Award seeks to honor.

Publication Top Notes

  1. Type I and Type II codes over the ring
    Authors: Ankur, PK Kewat
    Journal: Asian-European Journal of Mathematics, 12(02), Article 1950025
    Year: 2019
    Citations: 2

  2. Self-dual codes over the ring and Jacobi forms
    Author: Ankur
    Journal: Asian-European Journal of Mathematics, 10(03), Article 1750055
    Year: 2017
    Citations: 2

  3. Diagnosis of Parkinson disease patients using Egyptian vulture optimization algorithm
    Authors: A Dixit, A Sharma, A Singh, A Shukla
    Conference: International Conference on Swarm, Evolutionary, and Memetic Computing, pp. 92-103
    Year: 2015
    Citations: 2

  4. Binary self-dual codes and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Applicable Algebra in Engineering, Communication and Computing, 34(3), pp. 377-392
    Year: 2023
    Citations: 1

  5. Type I and Type II codes over the ring
    Author: Ankur
    Journal: Arabian Journal of Mathematics, 9(1), pp. 1-7
    Year: 2020
    Citations: 1

  6. Construction of lattices over the real sub-field of ℚ(ς8) for block fading (wiretap) coding
    Authors: A Singh, P Kumar, A Shukla
    Journal: Discrete Mathematics, Algorithms & Applications, 17(4)
    Year: 2025

  7. A Review: On Special type of Quantum Error Correcting Codes
    Authors: UU Shinde, A Singh
    Journal: Discrete Mathematics, Algorithms and Applications
    Year: 2025

  8. Fuzzy-Based Security Assurance Framework Considering Uncertainty
    Authors: A Shukla, A Singh, B Katt, MM Yamin, S Pirbhulal, H Garg
    Book Chapter: Computational Modeling and Sustainable Energy: Proceedings of ICCMSE 2023, p. 115
    Year: 2025

  9. Theta series and weight enumerator over an imaginary quadratic field
    Authors: Ankur, KP Shum
    Journal: Asian-European Journal of Mathematics, 14(06), Article 2150098
    Year: 2021

  10. Self-dual codes over and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Designs, Codes and Cryptography, 89, pp. 1091-1109
    Year: 2021

  11. Theta series and its relation with the Weight Enumerator
    Author: Ankur
    Journal: ARS COMBINATORIA, 154, pp. 235-244
    Year: 2021

  12. Decomposition of Self-dual Codes Over a Commutative Non-Chain Ring
    Authors: Ankur, PK Kewat
    Journal: Malaysian Journal of Mathematical Sciences, 14(3)
    Year: 2020

  13. Codes over finite commutative local rings and their relation with lattices theta series and Jacobi forms
    Author: Ankur
    Institution: Indian Institute of Technology (ISM) Dhanbad, PhD Thesis
    Year: 2020

  14. SELF-DUAL CODES OVER THE RING F₂^m + uF₂^m + vF₂^m + uvF₂^m
    Author: Ankur
    Journal: Proceedings of the Jangjeon Mathematical Society, 21(4), pp. 617-625
    Year: 2018

 

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

Mr. Nitiraj Kulkarni | Mathematics | Young Scientist Award

Student Researcher at Vishwakarma University, Pune, India

Nitiraj V. Kulkarni is an aspiring researcher currently pursuing a Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic and research contributions span across multiple disciplines, including Computational Fluid Mechanics, Artificial Neural Networks (ANN), and Data Science. He has co-authored the Handbook for Basics of Artificial Intelligence and has published 10 research papers in reputed journals indexed in SCI and Scopus. Nitiraj has also made a significant impact by publishing over 12,000 datasets on various platforms, contributing valuable resources to the research community. Beyond academia, he has applied his technical skills to cybersecurity, receiving a letter of appreciation from the Director General of MSRTC for identifying a critical system vulnerability. Additionally, he has authored 8 books and has a patent under review, showcasing his dedication to knowledge dissemination and innovation. With his multidisciplinary approach, Nitiraj is making remarkable strides in integrating AI with engineering applications.

Professional Profile

Education

Nitiraj V. Kulkarni is pursuing his Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic background is centered around Machine Learning, Neural Networks, Computational Mathematics, and Data Science, providing a strong theoretical foundation in AI and its real-world applications. He has actively engaged in research-driven learning, with a focus on Artificial Neural Networks (ANN) in Fluid Mechanics. His education extends beyond formal coursework, as he has participated in research projects, self-learning, and collaborative work with leading scientists like Dr. Jagadish V. Tawade. Through these experiences, he has gained proficiency in computational modeling, numerical simulations, and AI-driven predictive analytics. His commitment to education is evident in his scientific publications and books, which contribute to knowledge dissemination in AI and engineering. Nitiraj’s strong academic foundation, combined with practical research exposure, positions him as a promising young scientist with significant contributions to AI and computational sciences.

Professional Experience

Despite being an undergraduate student, Nitiraj V. Kulkarni has built an impressive professional profile through active research, collaborations, and industry engagement. His most notable achievement includes receiving a letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, showcasing his expertise in cybersecurity and system analysis. He has also worked on an advanced research project involving Artificial Neural Networks (ANN) for Unsteady Boundary Layer Flow and Heat Transfer, demonstrating his ability to integrate AI with engineering and physics. In addition, Nitiraj has published 10 research papers in SCI and Scopus-indexed journals, authored 8 books, and has a patent under review, highlighting his contributions to innovation and knowledge dissemination. He has also actively collaborated with senior researchers like Dr. Jagadish V. Tawade, further strengthening his research capabilities. His multidisciplinary expertise reflects his commitment to bridging AI with computational mechanics and industry applications.

Research Interests

Nitiraj V. Kulkarni’s research interests are deeply rooted in the fields of Artificial Intelligence, Computational Fluid Mechanics, and Data Science. His primary focus lies in applying Artificial Neural Networks (ANN) to Fluid Mechanics for solving complex engineering problems, including boundary layer flow, heat transfer analysis, and thermoelectric energy harvesting. Additionally, he is interested in Machine Learning and Data Science, where he develops AI-driven predictive models and analyzes large-scale datasets to extract meaningful insights. His research extends into cybersecurity, where he explores system vulnerabilities and AI-based security solutions, as demonstrated by his work with MSRTC. Nitiraj is also engaged in nanofluid heat transfer studies, contributing to advancements in thermal energy management. His diverse research interests highlight his multidisciplinary approach, allowing him to tackle complex engineering challenges using AI and computational techniques. His work is aimed at developing innovative, data-driven solutions for real-world applications in engineering and technology.

Research Skills

Nitiraj V. Kulkarni possesses a diverse and advanced set of research skills, making him a valuable contributor to multiple scientific disciplines. His expertise in Artificial Neural Networks (ANN) allows him to develop AI-driven models for fluid mechanics and thermal engineering. He is highly proficient in Computational Fluid Dynamics (CFD), numerical modeling, and predictive analytics, which he applies in solving complex engineering problems. His data analysis and machine learning skills enable him to handle large-scale datasets and optimize predictive models for various applications. Additionally, his scientific writing and publishing experience is evident from his 10+ research papers and 8 books, contributing significantly to AI and computational sciences. Nitiraj also has strong skills in cybersecurity and vulnerability assessment, as demonstrated by his MSRTC recognition. His combination of theoretical knowledge, computational proficiency, and real-world application skills makes him a promising young scientist in AI and engineering research.

Awards and Honors

Nitiraj V. Kulkarni has received multiple recognitions for his contributions to AI, computational research, and cybersecurity. One of his most significant honors is the letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, highlighting his cybersecurity expertise. He has also published 10+ research papers in prestigious SCI and Scopus-indexed journals, demonstrating his strong academic research impact. His contributions to education and knowledge dissemination are reflected in his 8 books on AI, computational techniques, and scientific research. Additionally, he has published over 12,000 datasets, significantly aiding the research community in data-driven studies. Nitiraj has also collaborated with renowned scientists like Dr. Jagadish V. Tawade and has a patent under review, showcasing his innovation potential. His recognitions reflect his dedication to AI, cybersecurity, computational mechanics, and scientific research, positioning him as a strong candidate for the Young Scientist Award.

Conclusion

Nitiraj V. Kulkarni is an exceptional young researcher with a strong foundation in Artificial Intelligence, Data Science, and Computational Fluid Mechanics. His contributions to scientific research, cybersecurity, and AI-driven engineering solutions set him apart as an emerging leader in these fields. Through 10+ research papers, 8 books, a patent application, and over 12,000 datasets, he has demonstrated an impressive commitment to knowledge dissemination and innovation. His research has practical applications, as seen in his MSRTC cybersecurity recognition, proving his ability to solve real-world technological challenges. Nitiraj’s ability to integrate AI with computational mechanics, cybersecurity, and industry applications showcases his multidisciplinary expertise. With continued research, global collaborations, and industry engagement, he has the potential to make groundbreaking contributions to AI, fluid mechanics, and engineering applications. His achievements and dedication to innovation make him a deserving candidate for the Young Scientist Award, and a future leader in scientific research.

Publications Top Notes

  1. Effect of Williamson Nanofluid Across an Exponentially Stretched Sheet with Chemical Reaction Under the Influence of Joules Heating
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, F. Yuldashev, M. Gupta, …
    2025

  2. Thermo-fluid dynamics of non-Newtonian Casson fluid in expanding-contracting channels with Joule heating and variable thermal properties
    S. Rafiq, B.A. Bilal, A. Afzal, J.V. Tawade, N.V. Kulkarni, B. Abdullaeva, …
    2025

  3. Numerical solutions for unsteady laminar boundary layer flow and heat transfer over a horizontal sheet with radiation and nonuniform heat source/sink
    M. Diwate, J.V. Tawade, P.G. Janthe, M. Garayev, M. El-Meligy, N. Kulkarni, …
    2024

  4. Heat transfer mechanism for Newtonian and non-Newtonian Casson hybrid nanofluid subject to thermophoresis and Brownian motion over a movable wedge surface
    S. Swami, S. Biradar, M.Q. Gubari, S.P. Samrat, J.V. Tawade, N. Kulkarni, …
    2025

  5. Thermoelectric energy harvesting from geothermal micro-seepage
    N. Kulkarni, M. Al-Dossari, J. Tawade, A. Alqahtani, M.I. Khan, B. Abdullaeva, …
    2024

  6. Soret and nonuniform heat source/sink effects in micropolar nanofluid flow over an inclined stretching sheet
    M. Diwate, P.G. Janthe, N. Kulkarni, S. Sunitha, J.V. Tawade, N. Nazarova, …
    2025

  7. Optimizing nanoparticle dispersion and heat transfer in Williamson nanofluids under magnetic influence
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, B.S. Abdullaeva, D.M. Khidhir, …
    2025

  8. Optimizing Ibrutinib bioavailability: Formulation and assessment of hydroxypropyl-β-cyclodextrin-based nanosponge delivery systems
    S. Sampathi, N. Kulkarni, D. Bhikshapathi, J.V. Tawade, N. Tarakaramu, …
    2025

  9. Thermal and solutal performance analysis featuring fully developed chemically reacting micro-rotational convective flow in an open-ended vertical channel
    G.T. Gitte, S. Kalyan, H. Saraswathi, V. Kulkarni, M. Jameel, J.V. Tawade, …
    2025

  10. Effects of exponentially stretching sheet for MHD Williamson nanofluid with chemical reaction and thermal radiative
    S.P. Pallavi, M.B. Veena, J.V. Tawade, N. Kulkarni, S.U. Khan, M. Waqas, …
    2024

Hamidou Tembine | Mathematics | Best Scholar Award

Prof. Dr. Hamidou Tembine | Mathematics | Best Scholar Award

Professor of AI at UQTR, Canada

Prof. Dr. Hamidou Tembine is a senior research scientist at the King Abdullah University of Science and Technology (KAUST), specializing in applied mathematics and computational science. His research integrates uncertainty quantification, evolutionary game theory, and distributed learning to tackle complex problems in wireless communications and beyond. Tembine has made significant contributions to optimizing systems in uncertain environments, helping to advance the understanding of complex stochastic systems. He has been recognized for his innovative research, especially for its societal impact.

Professional Profile

Education

Prof. Tembine completed his higher education in mathematical engineering. He earned his Ph.D. from the University of Paris-Est, where he developed expertise in stochastic processes, optimization, and game theory. His academic background laid a strong foundation for his subsequent research in applied mathematics and computational science, where he focuses on areas including strategic learning, communication networks, and mathematical models of uncertainty​

Professional Experience

Throughout his career, Prof. Tembine has held significant academic and research positions. He is currently a senior research scientist at KAUST, where he contributes to the Stochastic Numerics Research Group (StochNum). He has also held roles in various academic institutions, developing expertise in communication systems, distributed networks, and optimization under uncertainty​

Research Interests

Prof. Tembine’s research interests are diverse, spanning from uncertainty quantification to evolutionary game theory. His work aims to solve real-world problems in areas like wireless communications, distributed strategic learning, and multi-agent systems. He focuses on optimizing communication networks by applying advanced mathematical models, offering insights into complex systems where uncertainty plays a central role​

Research Skills

Prof. Tembine is skilled in stochastic numerics, optimization techniques, and mathematical modeling. His expertise includes developing algorithms for uncertain systems, conducting theoretical research in game theory, and applying these models to real-world communication and network systems. He is proficient in a range of mathematical tools, from evolutionary strategies to advanced computational methods, enhancing the performance of complex systems under uncertain conditions​

Awards and Honors

Prof. Tembine has received numerous accolades for his groundbreaking research. One of his significant awards is the IEEE Communications Society (ComSoc) EMEA Outstanding Young Researcher Award, recognizing his contributions to society through his research in wireless communications and uncertainty quantification.

Conclusion

Prof. Dr. Tembine’s outstanding scholarly contributions and innovative research place him in strong contention for the Best Scholar Award. He has demonstrated a strong leadership role in advancing his field and has the potential to enhance the impact of his work by further expanding collaborations and promoting interdisciplinary initiatives.

Publications Top Notes

  • Game theory and learning for wireless networks: fundamentals and applications
    • Authors: S. Lasaulce, H. Tembine
    • Year: 2011
    • Citations: 349
  • Underwater wireless sensor networks: A survey on enabling technologies, localization protocols, and internet of underwater things
    • Authors: M. Jouhari, K. Ibrahimi, H. Tembine, J. Ben-Othman
    • Year: 2019
    • Citations: 308
  • Evolutionary games in wireless networks
    • Authors: H. Tembine, E. Altman, R. El-Azouzi, Y. Hayel
    • Year: 2009
    • Citations: 227
  • Electrical vehicles in the smart grid: A mean field game analysis
    • Authors: R. Couillet, S. M. Perlaza, H. Tembine, M. Debbah
    • Year: 2012
    • Citations: 203
  • Risk-sensitive mean-field games
    • Authors: H. Tembine, Q. Zhu, T. Başar
    • Year: 2013
    • Citations: 190
  • Distributed strategic learning for wireless engineers
    • Authors: H. Tembine
    • Year: 2018
    • Citations: 159
  • Game theory for wireless communications and networking
    • Authors: Y. Zhang, M. Guizani
    • Year: 2011
    • Citations: 155
  • Game dynamics and cost of learning in heterogeneous 4G networks
    • Authors: M. A. Khan, H. Tembine, A. V. Vasilakos
    • Year: 2011
    • Citations: 153
  • A stochastic maximum principle for risk-sensitive mean-field type control
    • Authors: B. Djehiche, H. Tembine, R. Tempone
    • Year: 2015
    • Citations: 122
  • Mean-field-type games in engineering
    • Authors: B. Djehiche, A. Tcheukam, H. Tembine
    • Year: 2017
    • Citations: 116