Assistant Professor at University of Petroleum and Energy Studies, India
Dr. Susmay Nandi is an accomplished Assistant Professor in the Department of Mathematics at the University of Petroleum and Energy Studies (UPES), Dehradun, India, since April 2022. With a strong academic background and a deep commitment to applied mathematics, Dr. Nandi specializes in the analysis of magnetohydrodynamic (MHD) flows, heat and mass transfer, and non-Newtonian fluid dynamics. His scholarly pursuits have led to a significant body of work, with over 30 peer-reviewed journal publications in reputed international journals indexed in SCIE and SCOPUS. Dr. Nandi has received accolades such as the Institute Best Researcher Award from NIT Meghalaya and Best Paper Award at ICMC 2021. He actively contributes to academia as a guest editor, journal reviewer, and invited speaker at national and international forums. He is also known for fostering research collaborations across institutions in India and abroad. With his multidisciplinary approach, which includes the use of machine learning in fluid dynamics, Dr. Nandi stands out as a researcher devoted to both theoretical analysis and practical applications in computational fluid dynamics and mathematical modeling.
Professional Profile
Education
Dr. Susmay Nandi has pursued a well-rounded academic journey rooted in mathematics and computational science. He earned his Ph.D. in Mathematics from the National Institute of Technology Meghalaya (2017–2022), focusing on the analysis of magnetohydrodynamic (MHD) flows involving heat and mass transfer. His doctoral work under Dr. Bidyasagar Kumbhakar contributed to the understanding of complex fluid dynamics in engineering contexts. Prior to this, Dr. Nandi completed his M.Sc. in Mathematics and Computing from the Indian Institute of Technology Guwahati (2013–2015), securing a first-class distinction. His undergraduate education includes a B.Sc. (Honors) in Mathematics from Alipurduar College under the University of North Bengal (2010–2013), also with first-class marks. He further diversified his qualifications with a B.Ed. from the University B.T. & Evening College, North Bengal University, to enrich his pedagogical skills. His foundational schooling was marked by consistent academic excellence, achieving top scores in secondary and higher secondary examinations from Vivekananda Vidyapeeth High School in West Bengal. Dr. Nandi’s academic milestones reflect a robust foundation in pure and applied mathematics, computational methods, and educational methodologies.
Professional Experience
Dr. Susmay Nandi has been serving as an Assistant Professor in the Department of Mathematics, School of Engineering, at the University of Petroleum and Energy Studies (UPES), Dehradun, since April 2022. In this role, he teaches undergraduate and postgraduate courses such as Differential Equations, Engineering Mathematics, Discrete Mathematics, and Numerical Analysis. He also mentors students in research projects and actively engages in interdisciplinary teaching. During his doctoral tenure at NIT Meghalaya, Dr. Nandi gained extensive teaching assistantship experience. He conducted programming labs in MATLAB and C++, taught tutorial sessions, evaluated assessments, and participated in curriculum development. His responsibilities extended to conducting MATLAB programming classes for undergraduates and numerical analysis labs for postgraduates. Dr. Nandi’s teaching interests include courses like Fluid Mechanics, Integral Equations, Calculus of Variations, and Operational Research, along with computer science modules. His commitment to academic excellence is further exemplified through his organization of national-level workshops and webinars in applied sciences. His passion for teaching is matched by his ongoing research in computational fluid dynamics, hybrid nanofluids, and MHD flow modeling, contributing to a dynamic and enriched academic environment.
Research Interest
Dr. Susmay Nandi’s research interests lie primarily in the domains of fluid dynamics, heat and mass transfer, and nanofluid modeling, with a special emphasis on magnetohydrodynamic (MHD) analysis. His doctoral research addressed the complexities of MHD flows with heat and mass transfer, offering novel insights into how fluids behave under various electromagnetic and thermal influences. Dr. Nandi is particularly interested in boundary layer flow, Newtonian and non-Newtonian fluid dynamics, flow through porous and non-porous media, and the behavior of nanofluids and hybrid nanofluids. In recent years, he has expanded his focus to include the application of machine learning techniques, particularly Artificial Neural Networks (ANN), for predictive modeling in complex fluid systems. This interdisciplinary approach enables Dr. Nandi to bridge the gap between traditional mathematical modeling and modern computational intelligence. His work not only enhances the theoretical framework of fluid mechanics but also finds practical relevance in biomedical engineering, energy systems, and environmental modeling. With a strong inclination towards collaborative research, Dr. Nandi continues to explore innovative methodologies and cross-disciplinary approaches in applied mathematics.
Research Skills
Dr. Susmay Nandi possesses a versatile set of research skills rooted in applied mathematics and computational fluid dynamics. He is proficient in formulating and solving nonlinear differential equations, especially in the context of MHD, nanofluid, and hybrid nanofluid flows. His computational expertise includes the use of MATLAB, C, C++, and MATHEMATICA for numerical modeling and simulations. Dr. Nandi is adept at using analytical and semi-analytical methods such as the Shooting method, Homotopy Analysis Method, and Finite Difference Techniques for solving complex fluid flow problems. His experience with regression analysis, entropy generation studies, and stability assessments allows him to examine the physical significance and practical applicability of mathematical models. He also employs modern machine learning tools like Artificial Neural Networks to enhance predictive capabilities in fluid systems. In addition to his technical skills, Dr. Nandi is skilled in academic writing, peer review, and research dissemination through journals, conferences, and workshops. His ability to bridge theoretical analysis with real-world applications demonstrates a high level of research maturity and innovation in the domain of fluid mechanics and applied mathematics.
Awards and Honors
Dr. Susmay Nandi has received several prestigious awards and recognitions that underscore his contributions to mathematical sciences and research. Notably, he was honored with the Institute Best Researcher Award at the 3rd Research Conclave 2022 organized by NIT Meghalaya. This accolade acknowledged his high-impact publications and outstanding research achievements during his doctoral tenure. In 2021, Dr. Nandi received the Best Paper Award at the International Conference on Mathematics & Computation (ICMC-2021), demonstrating the academic community’s recognition of his original and impactful work. He also secured the 3rd prize for oral presentation in the Science & Humanities discipline during the 2021 Research Conclave at NIT Meghalaya. Earlier, he qualified for national-level research fellowships such as the Senior Research Fellowship (SRF) in 2018 and Junior Research Fellowship (JRF) examinations in 2017 at both NIT Meghalaya and IIT Guwahati. His success in competitive examinations like GATE (AIR-286) and IIT-JAM (AIR-671) further reflects his academic prowess. Collectively, these honors showcase Dr. Nandi’s dedication to research excellence and his growing reputation in the field of applied mathematics.
Conclusion
Dr. Susmay Nandi exemplifies the modern academician and researcher, combining rigorous theoretical knowledge with innovative computational methods. As an Assistant Professor at UPES, he integrates teaching, research, and academic mentorship to foster a collaborative and intellectually stimulating environment. His expansive research portfolio—spanning MHD, non-Newtonian fluids, and nanofluid dynamics—has positioned him as an influential contributor to applied mathematics and engineering sciences. Dr. Nandi’s enthusiasm for interdisciplinary collaboration, especially incorporating machine learning into traditional fluid dynamics, reflects his forward-thinking approach. His active engagement in international research networks, journal editorial boards, and conference presentations highlights his role as a thought leader in his domain. Dr. Nandi’s journey from a small town in West Bengal to becoming an award-winning scholar and assistant professor underscores his determination, resilience, and passion for scientific inquiry. His story is a testament to how a strong foundation in education, a clear research vision, and persistent effort can lead to impactful contributions in science and academia. He remains committed to advancing mathematical research and inspiring the next generation of engineers and mathematicians.
Publications Top Notes
1. Title:
Analysis of an Unsteady Mucus Flow Through an Isothermal Channel with Thermal Conduction: An Analytical Solution
Authors: Thiyagarajan P., Santra S. S., Nandi S., Altanji M.
Year: 2025
Citations: 1
2. Title:
Thermally Driven Two-Phase Shear Thinning Non-Newtonian Fluid Through the Renal Tube Induced by Electric Double Layer Effects with Variable Wall Properties
Authors: Deepalakshmi P., Shankar G., Siva E. P., Tripathi D., Beg O. A., Santra S. S., Nandi S.
Year: 2025
Citations: 1
3. Title:
Evaluation of Casson Nanofluid Bioconvective Flow Influenced by a Radiative Spinning Disc, Including Reversible Chemical Reactions with Porous Medium
Authors: Prabhakar S., Umadevi R., Santra S. S., Nandi S.
Year: 2025