Dr. Anil Dhanda is an Assistant Professor at the Asian Business School, Noida, with academic and research interests at the intersection of Applied Mathematics, Operations Research, supply chain management, sustainability, and quantitative decision-making. He teaches Business Statistics and Quantitative Techniques, with a strong emphasis on analytical thinking, data-driven decision-making, and the practical application of quantitative methods to contemporary business problems.

He earned his Ph.D. in Mathematics from Amity University, Noida, in 2026. His doctoral research, titled “Investigation of Optimal Strategies for Some Inventory Models,” focused on the development of mathematical and optimization-based frameworks for inventory and supply chain systems. His broader research interests include operations research and decision sciences, inventory and supply chain optimization, sustainable and green operations management, game theory and contract design, carbon-emission regulation, and AI-driven forecasting. Prior to joining the Asian Business School, he was associated with the Amity Institute of Applied Sciences as a Ph.D. research scholar, where he was also involved in teaching Mathematics to undergraduate and postgraduate students.

Dr. Dhanda’s research applies mathematical modeling, nonlinear optimization, game-theoretic approaches, and data-driven techniques to problems involving sustainable operations and carbon-regulated supply chains. His work addresses issues such as deteriorating and imperfect-quality items, growing-item supply chains, trade-credit financing, carbon policies, third-party logistics, circular economy practices, digital twins, machine learning, and IoT-enabled decision systems. His research has been published or accepted in reputed international journals, including Operational Research, International Journal of Production Research, European Journal of Industrial Engineering, Journal of Industrial and Production Engineering, Process Integration and Optimization for Sustainability, Mathematics, and International Journal of System Assurance Engineering and Management. He has also contributed to international conference proceedings and scholarly book chapters published by leading academic publishers.

His research engagement is strongly interdisciplinary and collaborative, involving scholars from India and abroad. He actively contributes to the academic community through peer review and has served as a reviewer for international journals in the areas of sustainability, cleaner production, artificial intelligence, and decision sciences. He has presented his research at several national and international conferences, including IEEE CONECCT, the Annual Convention of the Operational Research Society of India, the International Conference on Business Analytics and Intelligence, and FLAME.

Dr. Dhanda qualified UGC-NET (JRF) with an All India Rank of 93 and IIT-JAM Mathematics with an All India Rank of 455. His academic distinctions also include the Best Research Presentation Award at FLAME 2022, the Shree Baljit Shastri Award for Best in Human and Traditional Values, and first rank in his M.Sc. Applied Mathematics programme. He is committed to integrating research, quantitative reasoning, and innovative pedagogy to create meaningful learning experiences and contribute to high-quality interdisciplinary research in business and management. His methodological toolkit includes MATLAB, SPSS, Python, LaTeX, and related quantitative and computational tools, which he uses for modeling, optimization, statistical analysis, and research communication. Through teaching, mentoring, publication, and collaborative research, he aims to bridge rigorous mathematical methods with real-world managerial and sustainability challenges while encouraging students to develop evidence-based problem-solving skills.

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Dr. Anil Dhanda

Dr. Anil Dhanda