Prakash Gawas Student (Postdoctoral), GERAD share Polytechnique Montréal prakash.gawas@polymtl.ca Education since Sep 2025 Postdoctoral research Expert-based learning for sequential decision problems- Taxonomy and Experiments Polytechnique Montréal, Antoine Legrain, director, Louis-Martin Rousseau, co-director Jan 2020 – Sep 2025 Ph.D. Notification timing problem. Complexity and an imitation learning approach Polytechnique Montréal – Department of Mathematics and Industrial Engineering, Antoine Legrain, co-director, Louis-Martin Rousseau, co-director Publications Jan 2025 An Imitation-Based Learning Approach Using DAgger for the Casual Employee Call Timing Problem Prakash Gawas, Antoine Legrain, and Louis-Martin Rousseau Learning and Intelligent Optimization. LION 2024, Springer, Cham, Naples, Italy, 153–168, 2025 BibTeX reference News Doctoral thesis proposal of Prakash Gawas - May 16, 10h00 Apr 30, 2025 Title: NOTIFICATION TIMING FOR ON-DEMAND PERSONNEL SCHEDULING - COMPLEXITY AND IMITATION LEARNING APPROACH Events Mar 11, 202603:00 PM — 04:00 PM Contextual Preference Distribution Learning for Improved Efficiency and User Experience in Ridesharing - part 1 GERAD seminar Ben Hudson – PhD student, Mila, Université de Montréal Montreal Operations Research Student Chapter (MORSC) Room 4488, André-Aisenstadt Building, Université de Montréal Campus Mar 11, 202603:00 PM — 04:00 PM Last-Mile Logistics via Robot-Assisted EV Routing and Customer-Centric Pickup: A Two-Stage Matheuristic Framework - part 2 GERAD seminar Nima Moradi – PhD student, Concordia University Montreal Operations Research Student Chapter (MORSC) Room 4488, André-Aisenstadt Building, Université de Montréal Campus
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