Profile of Dr. Ridwan Al Aziz
Dr. Ridwan Al Aziz
Assistant Professor
Email: ridwanalaziz@ipe.buet.ac.bd
Office Ext:
Research Areas
- Artificial Intelligence and Machine Learning
- Operations Management
- Operations Research and Decision Analysis
- Supply Chain Management
- Uncertainty and Risk Management
Academic Background
Ph.D. in Industrial and Systems Engineering, August 2021, SUNY University at Buffalo, NY, USA.
Master of Science in Industrial and Production Engineering, August 2017, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Bachelor of Science in Industrial and Production Engineering, July 2014, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.
Courses
Undergraduate Courses:
- IPE 301: Measurement, Instrumentation, and Control - January 2022
- IPE 407: Ergonomics and Safety Management - January 2022
- IPE 6107: Advanced Data Analytics - April 2022
Selected Publications
Journal Papers (*Co-first Author):
1. Aziz, R. A.*, Agarwal, P.*, & Zhuang, J*. (2022). Interplay of rumor propagation and clarification on social media during crisis events-A game-theoretic approach. European Journal of Operational Research, 298(2), 714-733.
2. Aziz, R. A., Symum, H., Mahbub, N., & Azeem, A. (2021). Monitoring Maternal Healthcare Performance in Hospital Setting Using a Multi-stage Bayesian Network Approach. American Journal of Industrial Engineering, 8(1), 9-17.
3. Aziz, R. A., He, M., & Zhuang, J. (2020). An Attacker–defender Resource Allocation Game with Substitution and Complementary Effects. Risk Analysis: An International Journal, 40(7):1481–1506.
4. Aziz, R. A., Paul, H. K., Karim, T. M., Ahmed, I., & Azeem, A. (2018). Modeling and optimization of multi-layer aggregate production planning. Journal of Operations and Supply Chain Management, 11(2), 1-15.
5. Paul, H. K., Aziz, R. A., Karim, T. M., & Azeem, A. (2017). Modeling and Scheduling of Multi-Stage and Multi-Processor Flow Shop. Global Journal of Management and Business Research.
6. Hunt, K., Agarwal, P., Aziz, R. A., & Zhuang, J. (2020). Fighting fake news during disasters: Machine learning, game theory shown to be effective tools to monitor, debunk misinformation," ORMS Today.
7. Mahbub, N., Hasin, A. A., Aziz, R. A., & Sharin, A. (2017). Maximization of total supply chain profit and minimization of bullwhip effect in a multi-echelon supply chain network using particle swarm optimization and genetic algorithm. International Journal of Integrated Supply Management, 11(2-3), 236-263.