© 2017, Omar El Housni, All Rights Reserved
Omar El Housni
Assistant Professor
CoRNELL TECH - CORNELL UNIVERSITY
© 2023, Omar El Housni, All Rights Reserved
I am an assistant professor at Cornell Tech and in the School of Operations Research and Information Engineering at Cornell University. I am a Graduate Field Member in Operations Research and Applied Mathematics at Cornell. I received my PhD in Operations Research 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 research focuses on the design of robust and efficient algorithms for dynamic optimization problems under uncertainty. I am particularly interested in revenue management problems such as assortment optimization and online matchings. My current research is supported by National Science Foundation (NSF).
News:
- Talks: University of Oxford (Sep 9), UC Berkeley (Sep 23), John Hopkins University (Sept 26), INFORMS (Seattle, Oct 20)
-I had the honor of serving on the jury as a Problem Captain in the Pan-African Mathematics Olympiads (PAMO) 2024 in Johannesburg, South Africa.
RM
-Talks at: MSOM (Minneapolis, July 1), IPCO (Wroclaw Poland, July 4), RMP (Los Angeles, July 16), ISMP (Montreal, July 23).
-I will be giving a talk at Amazon MOP seminars in Bellevue (WA) on April 8.
-I am co-organizing a workshop on Combinatorial Optimization for Online Platforms at Banff International Research Station (Canada).
-Two new papers accepted at IPCO 2024
-Two manuscripts online: Maximum Load Assortment Optimization and Placement Optimization of Substitutable Products
-I had the honor of serving on the jury as a senior coordinator for the Algebra problems at the International Math Olympiad 2023 in Japan.
- I'm thrilled to have received two 2023 teaching awards voted on by Cornell students: the Cornell Tech "Students Choice Award" and the ORIE "Graduate Outstanding Instructor Award". Thanks to all my students.
RESEARCH
Preprints
Assortment Optimization under the Multinomial Logit Model with Covering Constraints
with Qing Feng and Huseyin Topaloglu
Submitted
Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
with Alfredo Torrico and Ulysse Hennebelle
Major revision in Operations Research
A preliminary conference version is accepted at IPCO 2024
Accepted for oral presentation at MATCH-UP 2024
Placement Optimization of Substitutable Products
with Rajan Udwani
Major revision in Management Science
Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps
with Marouane Ibn Brahim and Danny Segev
Minor revision in Operations Research
Assortment Optimization with Visibility Constraints
with Theo Barre, Marouane Ibn Brahim, Andrea Lodi and Danny Segev
Major revision in Math Programming
A preliminary conference version is accepted at IPCO 2024 (authored by the subset of authors: Barre, El Housni and Lodi).
Selected for presentation in the MSOM Supply Chain Management SIG, 2024
Assortment and Price Optimization under an Endogenous Context-Dependent Multinomial Logit Model
with Yicheng Bai, Paat Rusmevichientong and Huseyin Topaloglu
Major revision in Management Science
Coordinated Inventory Stocking and Assortment Personalization
with Yicheng Bai, Paat Rusmevichientong and Huseyin Topaloglu
Minor revision in Operations Research
Selected for presentation in the MSOM Supply Chain Management SIG, 2023
Matchings Drivers to Riders: A Two-stage Robust Approach
with Oussama Hanguir, Vineet Goyal and Clifford Stein
Minor revision in Operations Research
Joint Assortment and Inventory Planning under the Markov chain Choice Model
with Omar Mouchtaki, Guillermo Gallego, Vineet Goyal, Salal Humair, Ali Sadighian, Sangjo Kim and Jingchen Wu
Minor revision in Management Science
Journal publications
LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization
with Ayoub Foussoul and Vineet Goyal
Math Programming, 2023
with Huseyin Topaloglu
Operations Research, 2023
Selected for presentation in the MSOM Supply Chain Management SIG, 2022
Video from Cornell CAM/ORIE seminars
Fluid Approximations for Revenue Management under High-Variance Demand
with Yicheng Bai, Billy Jin, Paat Rusmevichientong, Huseyin Topaloglu and David Williamson
Management Science, 2023.
Accepted to Fast Track in Management Science
On the Optimality of Affine Policies for Budgeted Uncertainty Sets
with Vineet Goyal
Math of Operations Research, 2021.
2nd place in the 2020 George Nicholson student paper competition.
Video BIRS workshop "Models and Algorithms for Sequential Decision Problems under Uncertainty", Banff 2019.
with Aharon Ben-Tal and Vineet Goyal
Math Programming, 2020.
Piecewise Static Policies for Two-stage Adjustable Robust Linear Optimization
with Vineet Goyal
Math Programming, 2018.
Finalist in the 2015 INFORMS Undergraduate OR student paper competition.
Refereed conference publications
Assortment Optimization with visibility constraints
with Theo Barre and Andrea Lodi
IPCO 2024
Adaptivity Gaps in Two-sided Assortment Optimization
with Alfredo Torrico and Ulysse Hennebelle.
IPCO 2024
LP-based Approximations for Disjoint Bilinear and Two-Stage Adjustable Robust Optimization
with Ayoub Foussoul and Vineet Goyal
IPCO 2022
Matchings Drivers to Riders: A Two-stage Robust Approach
with Oussama Hanguir, Vineet Goyal and Clifford Stein
APPROX 2021
On the Power of Static Assignment Policies for Robust Facility Location Problems
with Vineet Goyal and David Shmoys
IPCO 2021
Video Robust Optimizaiton Webinar
Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
with Vineet Goyal
NeurIPS 2017 (Spotlight).
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)
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
Optimization for Revenue Management, ORIE 7391, PhD, Spring 2024
Pricing analytics and revenue management, ORIE 5132 graduate, Spring 2023
Optimization under uncertainty: robust and online models, ORIE 6360 PhD, Spring 2022
Modeling under uncertainty, ORIE 5530 graduate, Fall 2021, 2022, 2023
Business applications of optimization, ORIE 5250 graduate, Summer 2021
Service systems and online markets, ORIE 5132 graduate, Spring 2021
Teaching Assistant, Columbia IEOR
Optimization, IEOR 6613 PhD
Dynamic Pricing and Revenue Management, IEOR 4601 graduate
Simulation, IEOR 3404 undergraduate
Advanced Optimization, IEOR 3609 undergraduate
Instructor, Columbia Science Honors Program
Introduction to Algorithms
Instructor, Mathematical Olympiad
Head coach and instructor 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