© 2017, Omar El Housni, All Rights Reserved
Omar El Housni
CoRNELL TECH
© 2021, Omar El Housni, All Rights Reserved
I am currently a visiting assistant professor at Cornell Tech as part of the Cornell School of Operations Research and Information Engineering. I received my PhD in Operations Research in 2020 from Columbia University where my advisor was Vineet Goyal. Before that, I graduated from Ecole Polytechnique (Paris) with an MS and BS in Applied Mathematics.
I am broadly interested in decision-making under uncertainty where I aim to develop optimization models and algorithms to address a wide-range of operational problems. My current research focuses on the design of robust and efficient algorithms for sequential dynamic optimization problems under uncertainty with applications in revenue management, facility location problems and matching markets.
RESEARCH
Publications
On the Power of Static Assignment Policies for Robust Facility Location Problems
with Vineet Goyal and David Shmoys
Accepted in IPCO 2021, journal version in preparation.
On the Optimality of Affine Policies for Budgeted Uncertainty Sets
with Vineet Goyal
Math of Operations Research (forthcoming).
2nd place in the 2020 George Nicholson student paper competition.
Video BIRS workshop "Models and Algorithms for Sequential Decision Problems under Uncertainty", Banff 2019.
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
with Vineet Goyal
Advances in Neural Information Processing Systems (NeurIPS), 2017 (Spotlight).
with Aharon Ben-Tal and Vineet Goyal
Math Programming 182 (1), 57-102, 2020.
Piecewise Static Policies for Two-stage Adjustable Robust Linear Optimization
with Vineet Goyal
Math Programming 169 (2), pages 649-665, 2018.
Finalist in the 2015 INFORMS Undergraduate OR student paper competition.
Under review
with Huseyin Topaloglu
Joint Assortment and Inventory Planning for Heavy Tailed Demand
with Vineet Goyal, Salal Humair, Omar Mouchtaki, Ali Sadighian and Jingchen Wu
Matchings Drivers to Riders: A Two-stage Robust Approach
with Oussama Hanguir, Vineet Goyal and Clifford Stein
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
with Vineet Goyal
Reports on COVID-19 Pandemic
Can Testing Ease Social Distancing Measures? Future Evolution of COVID-19 in NYC
with Mika Sumida, Paat Rusmevichientong, Huseyin Topaloglu and Serhan Ziya
Future Evolution of COVID-19 Pandemic in North Carolina: Can We Flatten the Curve?
with Mika Sumida, Paat Rusmevichientong, Huseyin Topaloglu and Serhan Ziya
(See Blog)
Working papers
Near-optimal Threshold Policies via Lifted Linear Decision Rules
with Amine Bennouna and Vineet Goyal
In preparation for submission to Operations Research.
Winner of Ecole Polytechnique’s Grand Prize of research internship 2019.
Dynamic Resource Provisioning Under Demand Uncertainty
with Chaithanya Bandi and Vineet Goyal
Patents
Real-time Iterative Assortment Allocation Estimation. Amazon Research
with D.Bhatia, S.Humair, V.Jain, G.Li, J.Marasanapalle, A.Sadighian, and J.Wu
(Patent Pending)
My thesis
TEACHING
Instructor, Cornell Tech
Service Systems and Online Markets, ORIE 5132 graduate
Teaching Assistant, Columbia IEOR
Optimization, IEOR 6613 PhD (30 students)
Dynamic Pricing and Revenue Management, IEOR4601 graduate (50 students)
Simulation, IEOR 3404 undergraduate (90 students)
Advanced Optimization, IEOR3609 undergraduate (90students)
Co-instructor, Columbia Science Honors Program
Introduction to Algorithms (40 students)
Instructor, Mathematical Olympiad
Instructor and Head coach of the Moroccan International Mathematical Olympiad team at IMO 2019, Bath UK.
(My experience at IMO on Youtube)
CONTACT
Address:
Cornell Tech
2 E Loop Road
New York, NY 10044
Email: oe46 At cornell Dot edu