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Ali Makhdoumi
Associate Professor |
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
Working Papers
- On Three-Layer Data Markets
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With Alireza Fallah, Michael I. Jordan, Azarakhsh Malekian
Working paper, 2024
- The Limits of Price Discrimination Under Privacy Constraints
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With Alireza Fallah, Michael I. Jordan, Azarakhsh Malekian
Working paper, 2024
- The Feedback Loop of Statistical Discrimination
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With Jackie Baek
Working paper, 2023
- Multi-Item Order Fulfillment Revisited: LP Formulation and Prophet Inequality
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With Ayoub Amil, Yehua Wei
Major Revision, Management Science , 2023
Accepted to ACM Conference on Economics and Computation (EC), 2023 (extended abstract)
- How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy
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With Daron Acemoglu, Alireza Fallah, Azarakhsh Malekian, Asuman Ozdaglar
Accepted to Conference on Web and Internet Economics (WINE), 2023 (extended abstract)
- Countering Value Uncertainty via Refunds: a Mechanism Design Approach
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With Saeed Alaei, Shuchi Chawla, Azarakhsh Malekian
Working paper, 2023
- Controlling Epidemics: The Value of Information Design
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With Minjun Chang and Peng Sun
Working paper, 2023
- Descending Price Auctions with Bounded Number of Price Levels and Batched Prophet Inequality
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With Saeed Alaei, Azarakhsh Malekian, Rad Niazadeh
Accepted to ACM Conference on Economics and Computation (EC), 2022 (extended abstract)
- Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
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With Alireza Fallah, Azarakhsh Malekian, Asuman Ozdaglar
Major Revision, Management Science , 2024
Conference version accepted to NeurIPS, 2022
- Revenue Maximization Under Unknown Private Values With Non-Obligatory Inspection
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With Saeed Alaei and Azarakhsh Malekian
Accepted to ACM Conference on Economics and Computation (EC), 2021 (extended abstract)
Major Revision, Operations Research, 2022
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With Azarakhsh Malekian, Asuman Ozdaglar
Under Revision, Management Science
Published Papers
- A Model of Behavioral Manipulation
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With Daron Acemoglu, Azarakhsh Malekian, and Asuman Ozdaglar
American Economic Review: Insights , 2024
Read more at Brookings.edu and Fuqua Insights
- Optimal Auction Design with Deferred Inspection and Reward
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With Alexandre Belloni, Saeed Alaei, and Azarakhsh Malekian
Operations Research, 2024
Read more at Amazon Science
- 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)
Operations Research , 2023
Read more at Fuqua Insights
- Optimal Subscription Planning for Digital Goods
With Saeed Alaei and Azarakhsh Malekian
Operations Research, 2023
- Testing, Voluntary Social Distancing and the Spread of an Infection
With Daron Acemoglu, Azarakhsh Malekian, and Asuman Ozdaglar
Operations Research, 2023
- 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
- 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
Cited in the 2023 Economic Report of the President
- 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
- With Daron Acemoglu, Azarakhsh Malekian, Asuman Ozdaglar
Games and Economics Behavior, 2017.
- With Asuman Ozdaglar
IEEE Transactions on Automatic Control, 2017.
- With Flavio Calmon, Muriel Médard, Mayank Varia, Mark Christiansen, Ken Duffy
IEEE Transactions on Information Theory, 2017.- With Soheil Feizi, Ken Duffy, Manolis Kellis, Muriel Médard.
IEEE Transactions on Network Sceience and Engineering, 2017.Refereed Conference Papers
- D. Acemoglu, A. Fallah, A. Makhdoumi, A. Malekian, A. Ozdaglar, How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy, Conference on Web and Internet Economics (WINE), 2023
- A. Amil, A. Makhdoumi, Y. Wei, Multi-Item Order Fulfillment Revisited: LP Formulation and Prophet Inequality, Conference on Economics and Computation (EC), 2023
- A. Fallah, A. Makhdoumi, A. Malekian, A. Ozdaglar, Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms, NeurIPS, 2022
- A. Fallah, A. Makhdoumi, A. Malekian, A. Ozdaglar, Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms , Conference on Economics and Computation (EC), 2022
- S. Alaei, A. Makhdoumi, A. Malekian, R. Niazadeh, Descending Price Auctions with Bounded Number of Price Levels and Batched Prophet Inequality , Conference on Economics and Computation (EC), 2022
- S. Alaei, A. Makhdoumi, A. Malekian, Revenue Maximization Under Unknown Private Values With Non-Obligatory Inspection , Conference on Economics and Computation (EC), 2021
- A. Makhdoumi, A. Malekian, A. Ozdaglar, Optimal Dynamic Pricing of Network Goods (short version), Allerton Conference on Communication, Control, and Computing, 2017.
- 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.
- A. Makhdoumi, A. Ozdaglar, Graph Balancing for Distributed Subradient Methods over Directed Graphs, Conference on Decision and Control (CDC), 2015.
- A. Makhdoumi, A. Ozdaglar, Broadcast-based Distributed Alternating Direction Method of Multipliers, Allerton Conference on Communication, Control, and Computing, 2014.
- A. Makhdoumi, F. Calmon, M. Médard, Forgot Your Password: Correlation Dilution, International Symposium on Information Theory (ISIT), 2015.
- F. Calmon, A. Makhdoumi, M. Médard, Fundamental Limits of Perfect Privacy, International Symposium on Information Theory (ISIT), 2015.
- A. Makhdoumi, S. Salamatian, N. Fawaz, M. Médard, From Information Bottleneck to Privacy Funnel, Information Theory Workshop (ITW), 2014.
- A. Makhdoumi, N. Fawaz, Utility-Privacy Trade-off under Statistical Uncertainty, Allerton Conference on Communication, Control, and Computing, 2013.
- A. Makhdoumi, S. Huang, M. Médard, Y. Polyanskiy, On Locally Decodable source Coding, International Conference on Communication (ICC), 2015.
- 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.
- U. Speidel, T. A. Gulliver, A. Makhdoumi, M. Médard, Using T-codes as locally decodable source codes, Information Theory Workshop (ITW), 2014.
- S. Feizi, D. E. Lucani, C. W. Sørensen, A. Makhdoumi, M. Médard, Tunable Sparse Network Coding for Multicast Networks, NetCod, 2014.
- 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
- Decision Models, Fuqua School of Business, Duke University, MBA program
- Convex Optimization, Fuqua School of Business, Duke University, PhD program
- Modeling and Decision Analysis, Fuqua School of Business, Duke University, MMS program
Patents
- Method and apparatus for utility-aware privacy preserving mapping through additive noise
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With N. Fawaz, US Patent US20160210463 A1
- Method and apparatus for utility-aware privacy preserving mapping in view of collusion and composition
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With N. Fawaz, US Patent US20160203334 A1
- Method and apparatus for utility-aware privacy preserving mapping against inference attacks
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With N. Fawaz, US Patent US20160203333 A1