Research Group
""A research group is not just a team—it is a shared journey of curiosity, mentorship, and discovery, where diverse minds come together to solve problems that matter.""
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Md. Shoaib Mahmud
Md. Shoaib Mahmud
Md Shoaib Mahmud is a lecturer in the Industrial and Production Engineering department at the Military Institute of Science and Technology (MIST), Bangladesh. He completed his B.Sc. in Industrial and Production Engineering at MIST with Dean’s List honours in 2024. His research focuses on optimizing supply chains through operations research and machine learning, including reverse-logistics networks for semiconductor shortages and hybrid RSM-ANN techniques for pricing–inventory systems. His main research interests include supply-chain optimization, machine learning, decision-making under uncertainty, human factors and ergonomics, and transportation problem. He has presented his work at international conferences, and at MIST, he teaches numerical analysis, engineering economy, and ergonomics & safety management. He is searching for a PhD position at this stage.
Email: shoaib09mahmud@gmail.com
Tabassum Haque
Tabassum Haque
Tabassum Haque is an enthusiastic and driven Industrial and Production Engineer with a strong foundation in supply chain management, operations research, and data-driven decision-making. She completed her B.Sc. from the Military Institute of Science and Technology (MIST), where she was actively involved in academic research and industry-focused projects. Her professional experience includes working on demand forecasting and inventory optimization at Unilever Bangladesh Ltd. and Foodpanda Bangladesh Ltd., where she gained hands-on experience aligning supply chain operations with real-world business requirements. Her research interests span assignment problems, queuing models, and transportation optimization, with several papers presented at international conferences. She currently has a journal article under review that explores the use of an integrated RSM-ANN technique to predict optimal pricing strategies. In addition to her technical skills, Tabassum has demonstrated leadership as the Secretary of the IEOM Society at MIST, where she organized training programs aimed at bridging the gap between academic learning and industry practices. She is proficient in Python, MATLAB, Arena, and other simulation and optimization tools, and she remains eager to apply her skills to solve complex industrial challenges and drive meaningful impact. She is searching for a PhD position at this stage.
Email: tabassumhaque07@gmail.com
Mohammad Nafis Ikbal
Mohammad Nafis Ikbal
Mohammad Nafis Ikbal, a recent graduate from the Military Institute of Science and Technology, has shown great potential in the field of Industrial and Production Engineering. His B.Sc. degree and his current role as a Sales & Application Engineer at Instrumentation Engineers Ltd. (IEL), Emerson's local business partner, are evidence of his capabilities. His academic and research interests include optimization, supply chain management, healthcare logistics, and data-driven decision-making. He has worked on projects involving mixed-integer linear programming and IoT-based industrial solutions, focusing on sustainability and operational efficiency. Nafis's potential to contribute to the field is evident in his aim to pursue advanced research in industrial engineering and his desire to solve complex real-world problems through analytical modeling and interdisciplinary collaboration . Nafis is looking for a PhD position.
Email: ikbalnafis8@gmail.com
Tanjeel Ahmed Bin Zaman
Tanjeel Ahmed Bin Zaman
Tanjeel Ahmed Bin Zaman is a dedicated Industrial and Production Engineering graduate from the Military Institute of Science and Technology (MIST), Bangladesh, with a stellar academic record (CGPA 3.83/4.00) and strong research credentials in operations research, supply chain management, and optimization techniques. He has co-authored multiple international conference publications and collaborated on advanced projects involving queueing theory, transportation problems, and pricing strategy optimization. Currently a lecturer at MIST, Tanjeel brings academic and practical expertise to teaching subjects like operations management, statistics, and industrial robotics. His proficiency in Python, MATLAB, SolidWorks, and CPlex is a testament to his technical skills. Tanjeel is now seeking a PhD position.
Email: tanjeelahmed99@gmail.com
Salman Ibrahim Saad
Salman Ibrahim Saad
Salman Ibrahim Saad is a Lecturer in Industrial & Production Engineering at MIST, Bangladesh, holding a B.Sc. in IPE (CGPA 3.84/4.00, 2024). His research integrates machine learning with mixed-integer linear programming (MILP) to address resilient supply-chain design, data-driven decision-making, and large-scale optimization challenges. His thesis pioneered a Gurobi-based model for electric vehicle routing with split deliveries, reducing mileage and charging downtime, and he now extends this work to stochastic demand frameworks. At MIST, Salman teaches operations research, statistics, and data analytics using industry-standard tools (CPLEX, Gurobi, Python, SPSS) while supervising logistics-optimization capstones. His industry experience includes automating KPI dashboards and inventory systems at Nestlé and Unilever. As former President of MIST's IEOM Student Chapter, he led professional development initiatives. Salman is now planning to pursue doctoral degree to extend his optimization works further.
Email: salman.2000.bd@gmail.com
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