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Professor Manshadi’s research focuses on the operation of online and matching platforms, especially those with profound societal impact, including volunteer crowdsourcing, organ allocation, and information (news) platforms. She has collaborated with nationwide platform-based nonprofits, including Food Rescue US and VolunteerMatch. She has also worked on operational problems in e-commerce platforms such as online shopping and advertising. 


  • PhD, Stanford University
  • MS, Stanford University
  • BS, Sharif University of Technology

Selected Works


Fair Dynamic Rationing
V. H. Manshadi, R. Niazadeh, and S. Rodilitz
Management Science
2022 Forthcoming

Information Design for Congested Social Services: Optimal Need-Based Persuasion
J. Anunrojwong, K. Iyer, and V. H. Manshadi
Management Science
2022 Forthcoming

Impact of Network Structure on New Service Pricing
S. Alizamir, N. Chen, S. Kim, and V. H. Manshadi,
Mathematics of Operations Research
2021 Forthcoming

Online Policies for Efficient Volunteer Crowdsourcing
V. H. Manshadi and S. Rodilitz
Management Science
2021 Forthcoming

Product Ranking on Online Platforms
M. Derakhshan, N. Golrezaei, V. H. Manshadi, and V. Mirrokni
Management Science
2020 Forthcoming

Online Resource Allocation under Partially Predictable Demand
D. Hwang, P. Jaillet, and V. H. Manshadi,
Operations Research
2020 Forthcoming

Information Inundation on Platforms and Implications
G. Allon, K. Drakopoulos, and V. H. Manshadi
Operations Research
2020 Forthcoming

Diffusion in Random Networks: Impact of Degree Distribution
V. H. Manshadi, S. Misra, and S. Rodilitz
Operations Research

On Matching and Thickness in Heterogeneous Dynamic Markets
I. Ashlagi, M. Burq, P. Jaillet, V. H. Manshadi
Operations Research
Volume 67, Issue 4


The Stochastic Container Relocation Problem
V. Galle, V. H. Manshadi, S. Borjian, C. Barnhart, and P. Jaillet
Transportation Science
Volume 52, Issue 5


Working Papers

Online Algorithms for Matching Platforms with Multi-Channel Traffic
V. Manshadi, S. Rodilitz, D. Saban, and A. Suresh

Designing Approximately Optimal Search on Matching Platforms
N. Immorlica, B. Lucier, V. Manshadi, and A. Wei

Commitment on Volunteer Crowdsourcing Platforms: Implications for Growth and Engagement
I. Lo, V. H. Manshadi, S. Rodilitz, and A. Shameli

Learning Product Rankings Robust to Fake Users
N. Golrezaei, V. H. Manshadi, J. Schneider, and S. Sekar