Scholar
Amine Bennouna
Google Scholar ID: -acf4MQAAAAJ
MIT Operations Research Center
Distributionally Robust Optimization
Machine Learning
Data-driven Decision Making
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Citations & Impact
All-time
Citations
538
H-index
7
i10-index
6
Publications
11
Co-authors
6
list available
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Publications
3 items
A Bayesian Framework for Human-AI Collaboration: Complementarity and Correlation Neglect
2026
Cited
0
What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
2025
Cited
0
Holistic Robust Data-Driven Decisions
arXiv.org · 2022
Cited
19
Resume (English only)
Background
Assistant Professor in Operations at the Kellogg School of Management, Northwestern University.
Research focuses on how machines or artificial intelligence (AI) learn to make decisions.
Develops novel learning algorithms for efficient, data-driven decision-making with an emphasis on reliability.
Research integrates tools from probability theory, optimization, and geometry to advance theoretical and algorithmic foundations.
Keywords: Data-driven Decision-making, Experimentation, Data Value, Stochastic Optimization, Distributionally Robust Optimization, Human-AI Interaction.
Co-authors
6 total
Bart P.G. Van Parys
CWI Amsterdam
Georgia Perakis
William F. Pounds Professor of Operations Management and Operations Research
Moïse Blanchard
MIT
Co-author 4
Saurabh Amin
Massachusetts Institute of Technology
Asuman Ozdaglar
Mathworks Professor, EECS, MIT
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