Nasim Nasrabadi | Mathematics | Research Excellence Award

Assist. Prof. Dr. Nasim Nasrabadi | Mathematics | Research Excellence Award

Dr. Nasim Nasrabadi is an accomplished Iranian mathematician and Assistant Professor in the Faculty of Mathematical Science and Statistics at the University of Birjand, where she has served since 2010. Born on September 6, 1982, she completed her academic journey in Applied Mathematics with a specialization in Operations Research at Kharazmi University of Tehran, earning her B.Sc., M.Sc., and Ph.D. degrees with outstanding academic performance. Her doctoral research, supervised by Professor G.R. Jahanshahloo and advised by Professor Pekka Korhonen, focused on advanced models for efficiency analysis. Dr. Nasrabadi’s research expertise spans Data Envelopment Analysis (DEA), Multiple Criteria Decision Making (MCDM), and Inverse Optimization, contributing significantly to these fields through high-impact journal publications, conference presentations, and a scholarly book in Persian on Multi-Criteria Decision Making. Her academic career includes international research experience at Aalto University in Finland, where she worked as a researcher and visiting scholar across multiple years. Nationally, she has held several leadership roles, including Research Affairs Administrator, Postgraduate Affairs Administrator, and Deputy Director of the Mathematics Department at the University of Birjand. She has also supervised several graduate theses and serves as a reviewer for prestigious journals such as the European Journal of Operational Research. Dr. Nasrabadi has been recognized throughout her academic path with numerous scholarships and awards for excellence. Fluent in English and skilled in mathematical programming tools including Maple, GAMS, and LaTeX, she continues to actively contribute to the advancement of applied mathematics and decision-making sciences.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Nasrabadi, N., Dehnokhalaji, A., Kiani, N. A., Korhonen, P. J., & Wallenius, J. (2012). Resource allocation for performance improvement. Annals of Operations Research, 196(1), 459–468.

Dehnokhalaji, A., Korhonen, P. J., Köksalan, M., Nasrabadi, N., & Wallenius, J. (2011). Convex cone-based partial order for multiple criteria alternatives. Decision Support Systems, 51(2), 256–261.

Dehnokhalaji, A., Korhonen, P. J., Köksalan, M., Nasrabadi, N., & Wallenius, J. (2010). Efficiency analysis to incorporate interval-scale data. European Journal of Operational Research, 207(2), 1116–1121.

Korhonen, P. J., Dehnokhalaji, A., & Nasrabadi, N. (2018). A lexicographic radial projection onto the efficient frontier in Data Envelopment Analysis.  European Journal of Operational Research, 265(3), 1005–1012.

Nasrabadi, N., Dehnokhalaji, A., Korhonen, P., & Wallenius, J. (2019). A stepwise benchmarking approach to DEA with interval scale data.
Journal of the Operational Research Society, 70(6), 954–961.

Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

Ms. Lalhmingsangi Famhawite | Mathematics | Best Researcher Award

University of Delhi | India

Ms. Lalhmingsangi Famhawite is a dedicated Research Scholar at the Department of Mathematics, University of Delhi, whose research lies at the intersection of Computational Fluid Dynamics (CFD) and Biomedical Engineering. Her academic and scientific pursuits focus on the numerical simulation of bioheat transfer processes in cryosurgical treatment of tumor tissues, applying advanced mathematical models to real-world biomedical challenges. With 4 peer-reviewed publications, 9 citations, and an h-index of 1, her scholarly work demonstrates growing influence in the field of computational biothermal modeling and mathematical applications in health technology. Her research contributions explore the complex interactions between thermal diffusion, vascular networks, and tissue damage during cryoablation procedures—a minimally invasive technique for cancer therapy. By combining finite element analysis, bioheat transfer modeling, and numerical simulation, she has developed innovative approaches to simulate and optimize cryosurgical processes, improving precision and safety in treatment outcomes. Ms. Famhawite’s work includes creating 2D and 3D vascularized liver tumor models, investigating coupled heat-mass transfer phenomena, and evaluating biomechanical effects of tissue freezing, which have significant implications for advancing computational medicine and patient-specific treatment design. Her technical expertise spans COMSOL Multiphysics, MATLAB, and finite element methods, enabling her to conduct high-fidelity simulations that align closely with experimental and clinical observations. She has presented her findings at prestigious international platforms, including the Indian Society of Theoretical and Applied Mechanics (ISTAM) and the International Conference on Recent Trends in Mathematics (ICRTM), reflecting her active engagement with the global research community.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Tanwar, S., Famhawite, L., & Verma, P. R. (2023). Numerical simulation of bio-heat transfer for cryoablation of regularly shaped tumours in liver tissue using multiprobes. Journal of Thermal Biology, 113, 103531.

Famhawite, L., Tanwar, S., & Verma, P. R. (2024). PERSPECTIVE: Cryosurgery process applications: A mathematical review. CryoLetters, 45(5), 269–278.

Famhawite, L., Tanwar, S., & Verma, P. R. (2025). Numerical simulations to analyze the impact of vascular network complexity over cryosurgical treatment process of two-dimensional liver tumor tissue. International Journal for Computational Methods in Engineering Science and Mechanics.

Tanwar, S., Famhawite, L., & Verma, P. R. (2026). Bioheat transfer simulations of cryoablation and their comparison with different optimization techniques for patient-specific segmented liver tumor tissue. International Journal of Thermal Sciences, 220, 110301.