Golam Sakaline

Currently, Mr. Golam Sakaline is working as a Lecturer at ULAB School of Business. Before joining ULAB, he finished his Masters in Supply Chain Management at Szechenyi Istvan University (SZE), Hungary, under the Stipendium Hungaricum Scholarship. During his time at SZE, he worked as Department Assistant Fellow, contributing to teaching and research in logistics, Operations Management, and Industry 4.0. He has over five years of diverse experiences in academia and industry, specializing in supply chain management, logistics, and process optimization. He also served as a Lecturer in the Department of Industrial and Production Engineering at the National Institute of Textile Engineering and Research in Savar, Bangladesh. His professional experience includes roles in logistics and optimization at Shah Cement Industries Ltd., where he employed cost-saving strategies. His research interests span supply chain performance, sustainability, and the application of advanced technologies like machine learning in retail and logistics.

MSc (Szechenyi Istvan University, Gyor, Hungary)
BSc (Bangladesh University of Engineering and Technology, Dhaka, Bangladesh)

Supply Chain Optimization, Data-driven Decision Making, Logistics Management, Artificial Intelligence and Machine Learning

Recent Conferences

• Presented paper titled as “Leveraging Supervised Machine Learning Model to Predict Food Delivery Time” at Science and Arts Student Conference, Győr,Hungary,2023 (Runner-up prize)

Awards

• MSc Scholarship: Stipendium Hungaricum (2022-2024)
• Dean’s List Award, BUET, 2013

1. Remsei, S., Sakaline, G., Uddin, M. M., & Buics, L. (2024). Business process overhaul in dairy supply chains: An integrated approach of advanced forecasting and vehicle routing techniques. Journal of Infrastructure, Policy and Development, 8(16), 9403. https://doi.org/10.24294/jipd9403
2. Aman, M. A., Uddin, M. M., Sakaline, G., Debnath, K., Shahed, M. A., & Rahman, T. (2022). Determining optimal production plant location and vehicle route in upstream supply chain network for date sap processing industry. Journal of Applied Research on Industrial Engineering, 9(2), 180–196. https://doi.org/10.22105/jarie.2021.278857.1280

1. Sakaline, G., & Buics, L. (2024). Advancing towards sustainable retail supply chains: AI-driven consumer segmentation in superstores. Engineering Proceedings, 79(1), 73. https://doi.org/10.3390/engproc2024079073
2. Aman, M. A., Sakaline, G., Uddin, M. M., & Iqbal, M. (2021). Identifying employees’ productivity performance factors and evaluating their interrelationship: An exploratory case study in Bangladesh automobile assembly industry. In Proceedings of the 4th International Conference on Industrial & Mechanical Engineering and Operations Management (IEOM), Dhaka, Bangladesh.