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Ali Makhdoumi

Associate Professor

Fuqua School of Business, Decision Sciences

Email: ali.makhdoumi (at) duke (dot) edu

Address: W315, 100 Fuqua drive, Durham, NC


I received a BSc in Electrical Engineering and a BSc in Mathematics from Sharif University of Technology. Before joining Fuqua, I received my PhD degree in Electrical Engineering and Computer Science from Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology. I was lucky to be advised by Professor Asuman Ozdaglar and Professor Daron Acemoglu. My main research interests are optimization, game theory, networks, and learning theory with applications to social and technological systems, market design, data markets, and privacy.

Here is a link to my Google Scholar .


Journal Papers



How Good Are Privacy Guarantees? Data Sharing, Privacy Preservation, and Platform Behavior

With Daron Acemoglu, Alireza Fallah, Azarakhsh Malekian, Asuman Ozdaglar
Working paper, 2023

Countering Value Uncertainty via Refunds: a Mechanism Design Approach

With Saeed Alaei, Shuchi Chawla, Azarakhsh Malekian
Working paper, 2023

Multi-Item Order Fulfillment Revisited: LP Formulation and Prophet Inequality

With Ayoub Amil, Yehua Wei
Working paper, 2023

Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms

With Alireza Fallah, Azarakhsh Malekian, Asuman Ozdaglar
Conference version accepted to NeurIPS, 2022

Descending Price Auctions with Bounded Number of Price Levels and Batched Prophet Inequality

With Saeed Alaei, Azarakhsh Malekian, Rad Niazadeh
Accepted to ACM Conference on Economics and Computation (EC), 2022 (extended abstract)

Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms

With Alireza Fallah, Azarakhsh Malekian, Asuman Ozdaglar
Accepted to ACM Conference on Economics and Computation (EC), 2022 (extended abstract)
Minor Revision, Operations Research, 2022

A Model of Behavioral Manipulation

With Daron Acemoglu, Azarakhsh Malekian, and Asuman Ozdaglar
Working paper, 2022

Revenue Maximization Under Unknown Private Values With Non-Obligatory Inspection

With Saeed Alaei and Azarakhsh Malekian
Accepted to ACM Conference on Economics and Computation (EC), 2021 (extended abstract)
Major Revision, Operations Research, 2022

Optimal Auction Design with Deferred Inspection and Reward

With Alexandre Belloni, Saeed Alaei, and Azarakhsh Malekian
Major Revision, Operations Research, 2021

Read more at Amazon Science

Optimal Subscription Planning for Digital Goods

With Saeed Alaei and Azarakhsh Malekian
Minor Revision, Operations Research, 2022

Strategic Dynamic Pricing with Network Effects

With Azarakhsh Malekian, Asuman Ozdaglar
Under Revision, Management Science

Providing Data Samples for Free

With Kimon Drakopoulos
Management Science, 2022

Revenue-Sharing Allocation Strategies for Two-Sided Media Platforms: Pro-Rata versus User-Centric

With Sasa Pekec, Saeed Alaei, and Azarakhsh Malekian
Management Science, 2022

Read more at Fuqua Insights

Learning From Reviews: The Selection Effect and the Speed of Learning

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar
Econometrica, 2022

Testing, Voluntary Social Distancing and the Spread of an Infection

With Daron Acemoglu, Azarakhsh Malekian, and Asuman Ozdaglar
Operations Research, 2022

Too Much Data: Prices and Inefficiencies in Data Markets

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar
American Economic Journal: Microeconomics, 2021

Read more at VoxEU and Fuqua Insights

Maximizing Sequence-Submodular Functions and its Application to Online Advertising

With Saeed Alaei and Azarakhsh Malekian
Management Science, 2020

Informational Braess' Paradox: The Effect of Information on Traffic Congestion

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar
Operations Research, 2018

Privacy-Constrained Network Formation

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar
Games and Economics Behavior, 2017.

Convergence Rate of Distributed ADMM over Networks

With Asuman Ozdaglar
IEEE Transactions on Automatic Control, 2017.

Principal Inertia Components and Applications

With Flavio Calmon, Muriel Médard, Mayank Varia, Mark Christiansen, Ken Duffy
IEEE Transactions on Information Theory, 2017.

Network Maximal Correlation

With Soheil Feizi, Ken Duffy, Manolis Kellis, Muriel Médard.
IEEE Transactions on Network Sceience and Engineering, 2017.

Work in Progress

Big Data and Competition

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar

Thinking Outside of the (Pandora) Box

With Saeed Alaei and Azarakhsh Malekian

Bayesian Social Learning with Heterogeneous Preferences: Effects of Diversity

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar

Refereed Conference Papers