© 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).

Spotlight video

 

A Tractable Approach for Designing Piecewise Affine Policies in Two-Stage Adjustable Robust  Optimization

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

Reports on COVID-19 Pandemic

 

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

Asbtract

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