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Farnaz Jahanbakhsh

Human-Computer Interaction Social Computing Information Credibility Assessment Online Space Navigation Human-Centered AI
University of Michigan (Ann Arbor) Computer Science and Engineering

About

Farnaz Jahanbakhsh is an Assistant Professor of Electrical Engineering and Computer Science at the University of Michigan. She completed her Ph.D. in Computer Science and Engineering at the Massachusetts Institute of Technology and was a Postdoctoral Fellow at Stanford University’s Human-Centered AI Institute. Her research focuses on human-computer interaction, social computing, and AI systems that help people assess information credibility and navigate online spaces, combining large-scale data, design, and rigorous evaluation.

Research Performance Summary

22
Total Papers
613
Total Citations
11
H-Index
2017-2026
Active Research Span

First Recorded Paper

You Want Me to Work with Who?: Stakeholder Perceptions of Automated Team Formation in Project-based Courses

Year: 2017

Citations: 88

Venue: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Latest Recorded Paper

Persuasion in Online Conversations Is Associated with Alignment in Expressed Human Values

Year: 2026

Citations: 0

Venue: arXiv preprint arXiv:2601.12685

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
2
2025
4
2024
2
2023
2
2022
6
2021
1
2020
3
2018
1
2017
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 15
Journal 0
Book 0

Top Coauthors

Jahanbakhsh Zhang

Research Impact by Period

2025-2026

Period Stats
Papers 6
Citations 9
Avg. Citations / Paper 1.5
H-Index 1

2020-2024

Period Stats
Papers 14
Citations 453
Avg. Citations / Paper 32.4
H-Index 10

2015-2019

Period Stats
Papers 2
Citations 151
Avg. Citations / Paper 75.5
H-Index 2

Contact and Professional Links

Contact Information

farnaz@umich.edu
7347649751

Detected Research Keywords

Misinformation Social Media Better Content Credibility