- Assistant Professor, Engineering Technology and Industrial Distribution
- Industrial Distribution
- Phone: 979-862-4751
- Email: chowdhurys@tamu.edu
- Office: FERM 205C
Educational Background
- • Ph.D., Transportation and Urban Engineering, University of Connecticut, 2022
- • M.S., Industrial and Systems Engineering, Mississippi State University, 2018
- • B.S., Industrial and Production Engineering, Shahjalal University of Science and Technology, 2014
Research Interests
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- AI-enabled decision support systems
- Human–AI decision-making and trust calibration
- Infrastructure resilience and disaster recovery
- Supply chain, logistics, and transportation systems
- Immersive and AI-Enhanced Learning in Engineering Education
- Ethical and responsible AI in engineering practice
Selected Publications
- • Hughes, W., Chowdhury, S., Zhu, J., & Zhang, W. (2026). Strengthening Resilience: An Agent-Based Model for Poststorm Restoration and Grid Hardening in Power Distribution Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 12(3), 04026038
- • Chowdhury, S., & Alzarrad, A. (2026). Examining Key Challenges in Undergraduate Engineering Students’ Decision-Making: Expert Perspectives Using the Fuzzy Delphi Method and Analytic Hierarchy Process. Journal for STEM Education Research, 9(1), 159-191
- • Quddus, M. A., Chowdhury, S., Jasper, W., & Das, L. (2025). Enhancing cotton yield prediction with robust deep neural network-based framework. European Journal of Agronomy, 170, 127750
- • Jamil, M. A., Mustofa, R., Hossain, N. U. I., Rahman, S. A., & Chowdhury, S. (2024). A structural equation modeling framework for exploring the industry 5.0 and sustainable supply chain determinants. Supply chain analytics, 6, 100060
- • Chowdhury, S., Emelogu, A., Marufuzzaman, M., Nurre, S. G., & Bian, L. (2017). Drones for disaster response and relief operations: A continuous approximation model. International Journal of Production Economics, 188, 167-184