Aliaa Alnaggar
Assistant Professor, Industrial and Systems Engineering
Aliaa Alnaggar
Assistant Professor, Industrial and Systems Engineering
Education
University of Waterloo, Waterloo, ON, Canada, MASc in Management Sciences, Faculty of Engineering (Aug 2017; Ph.D. in Management Sciences, Faculty of Engineering (Aug 2021); Kuwait University, Kuwait City, Kuwait, B.S. in Industrial Engineering (Aug 2010)
Bio
I'm an Assistant Professor in the Industrial and Systems Engineering Department at Rochester Institute of Technology (RIT). I hold a Ph.D. and MASc in Management Sciences from the University of Waterloo, with a specialty in Operations Research. Prior to my current role, I was an Assistant Professor in Industrial Engineering at Toronto Metropolitan University (TMU) and a Postdoctoral Fellow in Operations Management at the Rotman School of Management, University of Toronto.
My research focuses on leveraging operations research and analytics techniques to optimize service design and operations in uncertain environments, with particular emphasis on last-mile delivery, the sharing economy, and healthcare systems. Additionally, my work explores developing innovative methodologies for modeling and solving complex optimization problems under uncertainty, that are applicable to a wide-range of practical problems. My methodological expertise includes distributionally robust optimization, stochastic programming, Markov decision processes, and machine learning integration into optimization frameworks.
Select Scholarship
[J.1] A. Alnaggar and S. Bhatt (2025) Fleet Size Planning in Crowdsourced Delivery: Balancing Service Level and Driver Utilization. Omega, 103445.
[J.2] J. Nicholson, F. Gzara and A. Alnaggar (2025) Unmanned Aerial Vehicle Traffic Network Design with Risk Mitigation. Transportation Research Part E: Logistics and Transportation Review, 204, 104380.
[J.3] A. Alnaggar, F. Gzara, and J. H. Bookbinder (2025) Heatmap Design for Probabilistic Driver Repositioning Crowdsourced Delivery. Transportation Science, 59(1), 81-103.
[J.4] S. Helyar and A. Alnaggar (2025) Air Quality Monitoring and Mitigation through Time-Series Forecasting and Stochastic Optimization. Journal of Environmental Management, 389, 125540.
[J.5] A. Alnaggar and F. Farrukh (2025) Distributionally Robust Hospital Capacity Expansion Planning under Stochastic and Correlated Patient Demand. Computers & Operations Research, 174, 106887.
[J.6] S. Rafayal and A. Alnaggar (2024) Optimal Scheduling of Battery Energy Storage System Operations under Load Uncertainty. Applied Mathematical Modelling, 138, 115756.
[J.7] A. Alnaggar, F. Gzara, J. H. Bookbinder (2024) “Compensation Guarantees in Crowdsourced Delivery: Impact on Platform and Driver Welfare. Omega, 122, 102965.
[J.8] M. Cobbinah and A. Alnaggar (2024) An Attention Encoder-Decoder Model with the Teacher Forcing Technique for Predicting Consumer Price Index. Journal of Data, Information, and Management, 6 (1), 65-83.
[J.9] S. Rafayal, A. Alnaggar and M. Cevik (2024) Optimizing electricity peak shaving through stochastic programming and probabilistic time series forecasting. Journal of Building Engineering, 88, 109163.
[J.10] A. Alnaggar, F. Gzara, J. H. Bookbinder (2021) Crowdsourced Delivery: A Review of Platforms and Academic Literature. Omega, 102-139.
[J.11] A. Alnaggar, F. Gzara, J. H. Bookbinder (2020) Distribution Planning with Random Demand and Recourse in a Transshipment Network. EURO Journal on Transportation and Logistics, 9 (1).