Vahideh Manshadi
Michael H. Jordan Professor of Operations
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
Online Algorithms for Matching Platforms with Multi-Channel Traffic
V. Manshadi, S. Rodilitz, D. Saban, and A. Suresh
Management Science
2024, Forthcoming
Commitment on Volunteer Crowdsourcing Platforms: Implications for Growth and Engagement
I. Lo, V. H. Manshadi, S. Rodilitz, and A. Shameli
Manufacturing & Service Operations Management
2024, Articles In Advance
Fair Dynamic Rationing
V. H. Manshadi, R. Niazadeh, and S. Rodilitz
Management Science
2023 Articles In Advance
Information Design for Congested Social Services: Optimal Need-Based Persuasion
J. Anunrojwong, K. Iyer, and V. H. Manshadi
Management Science
2022 Articles In Advance
Learning Product Rankings Robust to Fake Users
N. Golrezaei, V. H. Manshadi, J. Schneider, and S. Sekar
Operations Research
2022 Articles In Advance
Designing Approximately Optimal Search on Matching Platforms
N. Immorlica, B. Lucier, V. Manshadi, and A. Wei
Management Science
2022 Articles In Advance
Online Policies for Efficient Volunteer Crowdsourcing
V. H. Manshadi and S. Rodilitz
Management Science
2022 Articles In Advance
Product Ranking on Online Platforms
M. Derakhshan, N. Golrezaei, V. H. Manshadi, and V. Mirrokni
Management Science
Volume 68, Issue 6, pp. 3975-4753
2022
Impact of Network Structure on New Service Pricing
S. Alizamir, N. Chen, S. Kim, and V. H. Manshadi,
Mathematics of Operations Research
2021 Articles In Advance
Online Resource Allocation under Partially Predictable Demand
D. Hwang, P. Jaillet, and V. H. Manshadi,
Operations Research
Volume 69, Issue 3, pp. 895-915
2021
Information Inundation on Platforms and Implications
G. Allon, K. Drakopoulos, and V. H. Manshadi
Operations Research
Volume 69, Issue 6, pp. 1784-1804
2021
Diffusion in Random Networks: Impact of Degree Distribution
V. H. Manshadi, S. Misra, and S. Rodilitz
Operations Research
Volume 68, Issue 6, pp. 1722-1741
2020
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
Redesigning VolunteerMatch's Ranking Algorithm: Toward More Equitable Access to Volunteers
Vahideh Manshadi, Scott Rodilitz, Daniela Saban, and Akshaya Suresh
Management Science
2024, Major Revisions
Markovian Search with Socially Aware Constraints
M. R. Aminian, V. Manshadi, and R. Niazadeh
Management Science
2024, Major Revisions
Robust Dynamic Staffing with Predictions
Y. Feng, V. Manshadi, R. Niazadeh, and S. Neyshabouri
2024
Dynamic Matching with Post-Allocation Service and its Application to Refugee Resettlement
K. Bansak, S. Lee, V. Manshadi, R. Niazadeh, and E. Paulson
2024