Emmanuel Oluwaseyi Atofarati | Heat and Mass Transfer | Best Researcher Award

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Dr. Emmanuel Oluwaseyi Atofarati | Heat and Mass Transfer | Best Researcher Award

Research Fellow, University of South Africa, South Africa

Emmanuel Atofarati Oluwaseyi is an accomplished researcher, lecturer, and mechanical engineer. Currently, he is a Post-doctoral Fellow at the University of South Africa and Tshwane University of Technology. Emmanuel has a PhD in Mechanical Engineering from the University of Pretoria, where his research focused on heat transfer enhancement using hybrid nanofluids in jet impingement cooling. He has demonstrated exceptional academic and professional capabilities, teaching undergraduate and postgraduate students, conducting research in heat transfer and nanofluid applications, and contributing to various academic publications. Additionally, Emmanuel has been an external examiner, research assistant, and supervisor for several engineering projects. He is actively involved in research and conferences related to thermodynamics, fluid dynamics, and energy systems, contributing to advancements in sustainable energy technologies. His passion for education, research, and development continues to drive his academic career.

Profile

Orcid

Education 

Emmanuel Atofarati Oluwaseyi holds a PhD in Mechanical Engineering from the University of Pretoria (2021-2024), focusing on heat transfer enhancement using hybrid nanofluids in jet impingement cooling. He is also pursuing post-doctoral fellowships at the University of South Africa (2024-present) in the Department of Mechanical Bioresources and Biomedical Engineering, and at Tshwane University of Technology (2024), in Mechanical and Mechatronics Engineering. Emmanuel completed his MSc in Mechanical Engineering (Thermo-Fluid) at Obafemi Awolowo University, Nigeria (2017-2020), where he developed an indigenous steam turbine for power generation. He holds a BSc in Mechanical Engineering from the same university (2010-2015), with a focus on vortex shedding control. His educational journey has provided a solid foundation in heat transfer, energy systems, and mechanical engineering principles, preparing him to make significant contributions to academic research and engineering practices.

Experience 

Emmanuel Atofarati Oluwaseyi has extensive academic and research experience in mechanical engineering. He currently holds post-doctoral positions at the University of South Africa and Tshwane University of Technology (2024-present), where he focuses on cutting-edge research in thermal sciences and biomedical engineering. Emmanuel has served as an Assistant Lecturer at the University of Pretoria (2023), teaching courses in Heat Transfer, Thermal and Fluid Machines, and Thermodynamics. He supervised undergraduate projects and was a Teaching Assistant for multiple engineering courses. His research work includes collaborations with renowned academics and institutions, where he contributed to projects on heat transfer enhancement, nanofluids, and energy systems. Emmanuel has also worked as a Research Assistant at Obafemi Awolowo University, where he contributed to projects on steam turbine development and computational fluid dynamics. His leadership and supervisory roles in various research and academic capacities reflect his commitment to advancing engineering knowledge.

Awards and Honors 

Emmanuel Atofarati Oluwaseyi has earned recognition throughout his academic and professional career. As a scholar, he was awarded the prestigious Post-doctoral Fellowship positions at the University of South Africa and Tshwane University of Technology in 2024, affirming his academic excellence. His PhD research at the University of Pretoria contributed significantly to the field of heat transfer enhancement, garnering attention and praise. Emmanuel’s MSc research on the development of an indigenous steam turbine was a pioneering effort, leading to the creation of Nigeria’s first micro-thermal power plant. His commitment to engineering education earned him multiple leadership roles, including supervising undergraduate research projects and serving as a Teaching Assistant for advanced mechanical engineering courses. Emmanuel has also been recognized for his contributions to conferences, publishing peer-reviewed papers, and serving as an external examiner for final-year engineering projects, highlighting his leadership and expertise in the field.

Research Focus 

Emmanuel Atofarati Oluwaseyi’s research focus lies in heat transfer enhancement, nanofluids, and sustainable energy systems. His PhD research at the University of Pretoria investigated the use of hybrid nanofluids in jet impingement cooling to improve thermal performance in engineering applications. This work contributes to the development of more efficient cooling systems, particularly for industrial and energy sectors. Emmanuel’s research also explores the hydrodynamic and thermodynamic properties of nanofluids and their impact on heat transfer performance. His research interests extend to the optimization of fluid flow and thermal management in renewable energy technologies, including steam turbines and fuel cells. Emmanuel is actively exploring the application of machine learning and artificial intelligence in thermal sciences, aiming to improve the design and performance of energy systems. His academic work contributes to advancements in mechanical engineering, providing innovative solutions to energy efficiency and thermal management challenges in modern technology.

Publication Top Notes

  • Experimental and machine learning study on the influence of nanoparticle size and pulsating flow on heat transfer performance in nanofluid-jet impingement cooling 🔬💡
  • Assessing the factors affecting building construction collapse casualty using machine learning techniques: a case of Lagos, Nigeria 🏗️📊
  • Experimental study on transient and steady-state impinging jet cooling condition with TiO₂-Water nanofluids 🌊🔥
  • Parametric influences on nanofluid-jet cooling heat transfer 💨💻
  • Pulsating nanofluid-jet impingement cooling and its hydrodynamic effects on heat transfer 🌡️🔄
  • Nanofluids for heat transfer enhancement: a holistic analysis of research advances, technological progress, and regulations for health and safety 🔧🌍
  • Hydrodynamic effects of hybrid nanofluid jet on heat transfer augmentation 💧🔧
  • Control of vortex shedding around a circular cylinder using bubble tabs in the laminar flow regime 🌀🔬
  • Indigenous Mini Thermal Power Plant 🔋🌱
  • CFD ANALYSIS OF THE THERMAL ENHANCEMENT OF PEM FUEL CELL COOLING CHANNEL USING DIFFERENT CROSS-SECTIONAL GEOMETRY ⚙️🔥

 

 

Yin-Tzer Shih | Fluid Dynamics | Best Researcher Award

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Prof. Dr .Yin-Tzer Shih | Fluid Dynamics | Best Researcher Award

Professor , National Chung Hsing University , Taiwan

Dr. Yin-Tzer (Jerry) Shih is a distinguished professor and Vice President of National Chung Hsing University (NCHU) in Taichung, Taiwan. With a background in applied mathematics, he has dedicated his career to both research and academic leadership. Dr. Shih has held numerous leadership roles at NCHU, including Dean of the College of Science and Director of the Big Data Center. He is widely recognized for his contributions to applied mathematics and interdisciplinary research, having worked extensively in AI, data science, and computational modeling. His research spans diverse fields such as climate prediction, medical data analysis, and sustainable agriculture. In addition to his academic work, he is a pioneer in the tech transfer of healthcare innovations, such as the development of a respiratory extubation review system. Dr. Shih’s leadership and research have made significant contributions to both academia and industry.

Profile

Strengths for the Best Researcher Award

  1. Extensive Research Portfolio: Yin-Tzer (Jerry) Shih has an impressive record of research publications spanning multiple high-impact journals, including Scientific Reports, PLoS ONE, and Neurological Research. His research covers diverse topics in applied mathematics, computational modeling, and machine learning, particularly in areas like data science, climate modeling, medical data analysis, and complex systems modeling. This broad range highlights his versatility and ability to tackle both theoretical and applied problems.
  2. Leadership in Research Projects: As Principal Investigator (PI) on numerous research projects, particularly funded by Taiwan’s National Science and Technology Council (NSTC), he has shown leadership in cutting-edge research areas such as polynomial chaos expansions for option pricing, nonlinear dimensionality reduction, and smart sustainable agriculture. These projects indicate his engagement in solving real-world problems and his ability to secure competitive funding.
  3. Interdisciplinary Expertise: Dr. Shih’s academic background (with a Ph.D. in Interdisciplinary Applied Mathematics) and professional work (in areas ranging from medical imaging to finance, AI, and climate studies) showcase his deep understanding of interdisciplinary applications. This is particularly notable in his work with Big Data, AI, and healthcare—fields that have high societal impact.
  4. Academic Leadership: His significant leadership roles, including serving as Vice President and Dean at National Chung Hsing University (NCHU), and heading multiple research centers (Big Data Center, Alumni Center, AI & Data Science Program), underscore his influence in academia and his commitment to advancing research excellence in Taiwan and beyond.
  5. Patent and Tech Transfer: His work on the development of a Respiratory Extubation Review Evaluation System (with a patent issued) and its successful tech transfer to Huide Technology Co., Ltd. for implementation is a notable achievement. It demonstrates his ability to bridge the gap between research and industry, contributing to technological innovation and societal impact.
  6. Recognition and Awards: His receipt of the Industrial-Academic Excellence Award in 2024, and being recognized as a Distinguished Professor at NCHU, highlights the significant impact of his research and contributions to the academic community.

Areas for Improvement

  1. Increased International Collaboration: While Dr. Shih’s work is highly regarded within Taiwan and has international recognition, expanding his research collaborations globally could further enhance the visibility of his work, allowing him to engage in cutting-edge discussions and innovations in his fields of expertise.
  2. Public Outreach and Dissemination: Although Dr. Shih’s technical achievements are significant, increasing his presence in public-facing communication (e.g., through conferences, public lectures, or collaborations with the media) could enhance the impact of his research beyond academic circles, making complex topics in applied mathematics and AI more accessible to a broader audience.
  3. Focus on Emerging Research Areas: While Dr. Shih’s work spans a variety of fields, there might be room for exploring emerging interdisciplinary areas such as AI ethics, quantum computing, or other frontier technologies in applied mathematics. Engaging more in these high-impact areas could ensure his continued relevance in future technological and scientific developments.

Education 

Dr. Yin-Tzer (Jerry) Shih holds a Ph.D. in Interdisciplinary Applied Mathematics from the University of Maryland, College Park, where he worked under the supervision of Howard C. Elman in the Department of Computer Science. His doctoral thesis focused on “Upwind Finite Element Solutions for Convection-Diffusion Problems,” a topic bridging applied mathematics and computational modeling. Prior to his Ph.D., Dr. Shih earned an M.S. in Applied Mathematics from National Tsing Hua University in Taiwan and a B.S. in Applied Mathematics from his alma mater, National Chung Hsing University. His educational background uniquely blends applied mathematics with computational science, equipping him to approach complex problems from multiple interdisciplinary perspectives. This foundation has been instrumental in his later success, driving both his academic leadership and his innovative research endeavors in data science, AI, and mathematical modeling.

Experience 

Dr. Yin-Tzer (Jerry) Shih’s academic career is marked by significant leadership and contributions to both research and university administration. He has served as Vice President of National Chung Hsing University (NCHU) since 2023, providing strategic oversight and fostering academic growth. Prior to this, Dr. Shih was Dean of the College of Science (2018-2024) and Director of the Big Data Center at NCHU, positions through which he significantly advanced the university’s focus on AI, data science, and interdisciplinary research. From 2015 to 2017, he chaired the Department of Applied Mathematics & Institute of Statistics at NCHU. Dr. Shih has also contributed to industrial and governmental projects, having worked as a Senior Software Engineer with the Aviation Weather Center at NCEPT/NWS/NOAA and with medical optical imaging in the U.S. His leadership in academic administration and applied mathematics research has earned him recognition across Taiwan and internationally.

Awards and Honors

Dr. Yin-Tzer (Jerry) Shih has received numerous prestigious awards in recognition of his excellence in research, leadership, and academic contributions. In 2024, he was honored with the Industrial-Academic Excellence Award by National Chung Hsing University (NCHU), which acknowledges his significant role in advancing the university’s mission and bridging the gap between academia and industry. From 2018 to 2020, Dr. Shih was awarded the Distinguished Professorship at NCHU, highlighting his impact on both the university’s academic environment and the broader scientific community. He has also served in key leadership roles such as the President of the Professor Association at NCHU and as an executive committee member of the Mathematical Society of Taiwan. His work on applied mathematics, AI, and data science has earned him respect as a thought leader in these fields, while his involvement in industrial innovation further enhances his standing in academia and industry.

Research Focus 

Dr. Yin-Tzer (Jerry) Shih’s research spans a wide range of fields, with a focus on applied mathematics, computational modeling, and data science. His work involves utilizing advanced mathematical techniques, including polynomial chaos expansions and graph convolution networks, to solve complex real-world problems in areas such as climate modeling, healthcare, and finance. He has led multiple research projects funded by Taiwan’s National Science and Technology Council (NSTC), addressing challenges like climate prediction, nonlinear dimensionality reduction for medical data, and the development of smart, sustainable agriculture solutions. Additionally, Dr. Shih’s research applies deep learning techniques to solve problems in healthcare, such as predicting the outcomes of strokes and understanding genetic correlations in diseases like hyperuricemia and osteoporosis. His interdisciplinary approach, which combines mathematical modeling with AI and machine learning, has made significant contributions to both theoretical advancements and practical applications in diverse sectors.

Publications 

  • The role of extracranial carotid duplex in predicting functional outcome in first-time lacunae strokes 🧠
  • Predicting adverse drug effects: A heterogeneous graph convolution network with a multi-layer perceptron approach 💊
  • Functional outcome prediction of ischemic stroke patients with atrial fibrillation accepting post-acute care training 🚑
  • A numerical scheme for the ground state of rotating spin-1 Bose–Einstein condensates 🌀
  • A note on stochastic polynomial chaos expansions for uncertain volatility and Asian option pricing 📉
  • Stability analysis and continuation for the coupled Gross–Pitaevskii equations 🌌
  • A flexible Bayesian non-parametric approach for fitting the odds to case II interval-censored data 📊
  • Early prediction of ventilator weaning with decision tree analysis 🌬️
  • Tailored Finite Point Methods for Solving Singularly Perturbed Eigenvalue Problems with Higher Eigenvalues 🔢
  • Tailored finite point method for solving one-dimensional Burgers’ equation 🌊

Conclusion

Dr. Yin-Tzer (Jerry) Shih is an exemplary candidate for the Best Researcher Award due to his groundbreaking research, leadership in academic administration, successful tech transfer, and impactful interdisciplinary work. His ability to connect complex mathematical modeling with real-world applications, such as climate forecasting, healthcare, and sustainable agriculture, positions him as a leader in his field. His extensive academic career, patent, and leadership in critical research projects solidify his qualifications for this award. Expanding his international collaborations and increasing public outreach would further elevate his contributions to science and technology.

Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

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Dr Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

Dr Madhavarao Kulkarni, B.V.V.Sangha Basaveshwar Science College Baglkot, India

Dr. Madhavarao Kulkarni is an accomplished Assistant Professor in the PG Department of Mathematics at B.V.V.’s Basaveshwar Science College, Bagalkot. With a Ph.D. from Karnatak University, Dharwad, his research focuses on computational fluid dynamics and numerical methods. Dr. Kulkarni has over five years of teaching experience and has worked on several impactful research projects, particularly in the realm of mixed convection nanofluid flows. His extensive publication record includes high-impact journals and he is actively involved in peer reviewing for leading journals.

Publication Profile

Scopus

Strengths for the Award

  1. Research Expertise and Impact:
    • Specialization: Dr. Kulkarni specializes in Computational Fluid Dynamics (CFD), focusing on mixed convection, nanofluids, and numerical methods. His research is published in reputable journals with high impact factors, such as International Communications in Heat and Mass Transfer (IF: 6.4) and Chinese Journal of Physics (IF: 5.0).
    • Diverse Publications: He has published 16 research articles in high-impact journals, indicating a strong and consistent contribution to his field. His work is indexed in SCIE, Scopus, and Web of Science, which further attests to the quality and recognition of his research.
  2. Teaching and Professional Experience:
    • Teaching Experience: With over 5 years of teaching experience at both undergraduate and postgraduate levels, he has taught a range of courses related to his field, including Numerical Methods and Computational Fluid Dynamics.
    • Training and Workshops: Dr. Kulkarni has actively participated in and presented at various conferences and workshops, enhancing his visibility and involvement in the academic community.
  3. Collaboration and Peer Review:
    • Collaborations: His collaborations with other researchers, including prominent names in the field, demonstrate his ability to work effectively in academic partnerships.
    • Reviewer: He serves as a reviewer for several reputed journals, which highlights his recognition by the academic community and his role in maintaining the quality of research.

Areas for Improvement

  1. Research Diversity:While Dr. Kulkarni has made significant contributions in CFD and nanofluids, expanding his research into related areas or interdisciplinary fields could enhance his profile. Exploring new and emerging topics within applied mathematics might also be beneficial.
  2. Grants and Awards:There is no mention of receiving major research grants or awards. Pursuing competitive research grants or applying for more prestigious awards could further bolster his credentials.
  3. Global Outreach:Engaging more with international research networks and contributing to high-profile global conferences could increase his visibility and impact on a broader scale.

 

Education

Dr. Madhavarao Kulkarni holds a Ph.D. in Applied Mathematics from Karnatak University, Dharwad, where he researched mixed convection nanoliquid flows. He completed his M.Sc. in Mathematics with distinction from Central University of Karnataka, Kalburgi, and his B.Sc. in Mathematics, Physics, and Computer Science with distinction from J.S.S. College, Dharwad. His academic journey reflects a strong foundation in mathematics and computational techniques.

Awards and Honors

Dr. Kulkarni’s research excellence has earned him recognition in various international conferences and workshops. He has been an active participant and presenter at prestigious events like the International Conference on Applied and Computational Mathematics and the Annual Conference of the Ramanujan Mathematical Society. His work is widely cited in the field of computational fluid dynamics.

Research Focus

Dr. Kulkarni’s research concentrates on computational fluid dynamics, particularly mixed convection flows involving nanofluids. His work explores the behavior of Newtonian and non-Newtonian fluids under various conditions using numerical methods like the finite difference method. His contributions are crucial in understanding complex fluid dynamics problems, including heat and mass transfer phenomena.

Publication Top Notes

Influence of activation energy and multi-diffusive quadratic convective nanoliquid flow past a cone and wedge 🌐

Influence of oscillatory magnetic field with mixed convection driven Sutterby nanofluid flow over a stretching cylinder 🌐

Numerical investigation of mixed convective Williamson nanofluid flow over a stretching/shrinking wedge in the presence of chemical reaction parameter and liquid hydrogen diffusion 🌐

Double diffusive mixed convective flow over a wedge and cone in the presence of Brownian diffusion and thermophoresis parameter 🌐

Mixed convective magnetized GOMoS2/H2O hybrid nanofluid flow about a permeable rotating disk 🌐

Effects of surface roughness and thermal radiation on mixed convective (GO–MoS2/H2O–C2H6O2) hybrid nanofluid flow past a permeable cone 🌐

MHD quadratic mixed convective Eyring-Powell nanofluid flow with multiple diffusions 🌐

Analysis of activation energy and hydromagnetic effects on triple diffusive quadratic mixed convective nanoliquid flow over a slender cylinder 🌐

Conclusion

Dr. Madhavarao Kulkarni is a strong candidate for the Research for Best Researcher Award. His substantial contributions to the field of Computational Fluid Dynamics, along with his robust publication record and teaching experience, make him a commendable researcher. To further enhance his candidacy, he could focus on broadening his research scope, seeking additional funding and awards, and increasing his global academic presence.