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Ali Makhdoumi

Assistant 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.

Here is a link to my Google Scholar


Journal Papers


Providing Data Samples for Free

With Kimon Drakopoulos
Major Revision, Management Science , 2021

Revenue Maximization Under Unknown Private Values With Non-Obligatory Inspection

With Saeed Alaei and Azarakhsh Malekian
Extended abstract accepted to ACM Conference on Economics and Computation (EC), 2021

A Model of Behavioral Manipulation

With Daron Acemoglu, Azarakhsh Malekian, and Asuman Ozdaglar
Working paper, 2021

Optimal Auction Design with Deferred Inspection and Reward

With Alexandre Belloni, Saeed Alaei, and Azarakhsh Malekian
Major Revision, Operations Research, 2020

Optimal Subscription Planning for Digital Goods

With Saeed Alaei and Azarakhsh Malekian
Major Revision, Operations Research, 2019

Strategic Dynamic Pricing with Network Effects

With Azarakhsh Malekian, Asuman Ozdaglar
Under Revision, Management Science

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

With Sasa Pekec, Saeed Alaei, and Azarakhsh Malekian
Minor Revision, Management Science, 2021

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

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar
Conditionally Accept, Econometrica, 2021

Testing, Voluntary Social Distancing and the Spread of an Infection

With Daron Acemoglu, Azarakhsh Malekian, and Asuman Ozdaglar
Accepted, Operations Research, 2021

Too Much Data: Prices and Inefficiencies in Data Markets

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

Read more at VoxEU

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, 66(4):893–917, 2018

Privacy-Constrained Network Formation

With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar
Games and Economics Behavior, 105:255–275, 2017.

Convergence Rate of Distributed ADMM over Networks

With Asuman Ozdaglar
IEEE Transactions on Automatic Control 62:5082--5095, 2017.

Principal Inertia Components and Applications

With Flavio Calmon, Muriel Médard, Mayank Varia, Mark Christiansen, Ken Duffy
IEEE Transactions on Information Theory, 63(8):5011-5038, 2017.

Network Maximal Correlation

With Soheil Feizi, Ken Duffy, Manolis Kellis, Muriel Médard.
IEEE Transactions on Network Sceience and Engineering, 4(4):229-247, 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

  1. S. Alaei, A. Makhdoumi, A. Malekian, Revenue Maximization Under Unknown Private Values With Non-Obligatory Inspection , Conference on Economics and Computation (EC), 2021
  2. A. Makhdoumi, A. Malekian, A. Ozdaglar, Optimal Dynamic Pricing of Network Goods (short version), Allerton Conference on Communication, Control, and Computing, 2017.
  3. A. Rezaee, A. Beirami, A. Makhdoumi, M. Médard, K. Duffy, Guesswork Subject to a Total Entropy Budget, Allerton Conference on Communication, Control, and Computing, 2017.
  4. A. Makhdoumi, A. Ozdaglar, Graph Balancing for Distributed Subradient Methods over Directed Graphs, Conference on Decision and Control (CDC), 2015.
  5. A. Makhdoumi, A. Ozdaglar, Broadcast-based Distributed Alternating Direction Method of Multipliers, Allerton Conference on Communication, Control, and Computing, 2014.
  6. A. Makhdoumi, F. Calmon, M. Médard, Forgot Your Password: Correlation Dilution, International Symposium on Information Theory (ISIT), 2015.
  7. F. Calmon, A. Makhdoumi, M. Médard, Fundamental Limits of Perfect Privacy, International Symposium on Information Theory (ISIT), 2015.
  8. A. Makhdoumi, S. Salamatian, N. Fawaz, M. Médard, From Information Bottleneck to Privacy Funnel, Information Theory Workshop (ITW), 2014.
  9. A. Makhdoumi, N. Fawaz, Utility-Privacy Trade-off under Statistical Uncertainty, Allerton Conference on Communication, Control, and Computing, 2013.
  10. A. Makhdoumi, S. Huang, M. Médard, Y. Polyanskiy, On Locally Decodable source Coding, International Conference on Communication (ICC), 2015.
  11. A. Beirami, R. Calderbank, M. Christiansen, K. Duffy, A. Makhdoumi, M. Médard, A geometric perspective on guesswork, Allerton Conference on Communication, Control, and Computing, 2015.
  12. U. Speidel, T. A. Gulliver, A. Makhdoumi, M. Médard, Using T-codes as locally decodable source codes, Information Theory Workshop (ITW), 2014.
  13. S. Feizi, D. E. Lucani, C. W. Sørensen, A. Makhdoumi, M. Médard, Tunable Sparse Network Coding for Multicast Networks, NetCod, 2014.
  14. A. Makhdoumi, H. K. Abadi, P. Pad, H. Saeedi, F. Marvasti, A. Alishahi, Capacity Achieving Linear Codes with Random Binary Sparse Generating Matrices, International Symposium on Information Theory (ISIT), 2012.

Teaching

  • Modeling and Decision Analysis, Fuqua School of Business, Duke University: Spring 2019, Spring 2020, Spring 2021

  • Convex Optimization, Fuqua School of Business, Duke University: Spring 2020, Spring 2022

  • Decision Models, Fuqua School of Business, Duke University: Spring 2021, Spring 2022