Vahideh Manshadi
Associate Professor of Operations
Contact
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.
Education
- PhD, Stanford University
- MS, Stanford University
- BS, Sharif University of Technology
Selected Works
Articles
- 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
Forthcoming - On Matching and Thickness in Heterogeneous Dynamic Markets
I. Ashlagi, M. Burq, P. Jaillet, V. H. Manshadi
Operations Research
Volume 67, Issue 4
2019 - The Stochastic Container Relocation Problem
V. Galle, V. H. Manshadi, S. Borjian, C. Barnhart, and P. Jaillet
Transportation Science
Volume 52, Issue 5
2018
Working Papers
- Online Algorithms for Matching Platforms with Multi-Channel Traffic
V. Manshadi, S. Rodilitz, D. Saban, and A. Suresh
2022 - Designing Approximately Optimal Search on Matching Platforms
N. Immorlica, B. Lucier, V. Manshadi, and A. Wei
2021 - Fair Dynamic Rationing
V. H. Manshadi, R. Niazadeh, and S. Rodilitz
2021 - Commitment on Volunteer Crowdsourcing Platforms: Implications for Growth and Engagement
I. Lo, V. H. Manshadi, S. Rodilitz, and A. Shameli
2020 - Learning Product Rankings Robust to Fake Users
N. Golrezaei, V. H. Manshadi, J. Schneider, and S. Sekar
2020