Assistant Professor

Assistant Professor, Department of Information Technology and Management (ITM)[Picture of [YourName]
Postdoc Scholar, Computational Science and Engineering, Georgia Institute of Technology
Ph.D., Computer Science, University of Texas at Dallas

Office: IIT Galvin Tower #15E3-3, 10 West 35th Street, Chicago, IL 60616, USA Chicago, IL
(Google Map Location)
Office Hour: Thursday 2-4pm
Telephone: Click to show
Email: yhu89 [at] illinoistech [dot] edu
LinkedIn: View [Your Name]'s profile on LinkedIn

👉 Prospective Students I am recruiting PhD students for Fall 2026. I also welcome inquiries from strong Illinois Tech master’s students and select visiting or remote students. See more details →

About

Dr. Yibo Hu is an Assistant Professor in the Department of Information Technology and Management, College of Computing, at Illinois Institute of Technology. Before joining IIT, he was a Postdoctoral Scholar in the School of Computational Science and Engineering at the Georgia Institute of Technology.

He studies how AI systems fail in real-world, socially important settings where automated predictions influence public perception, policy, safety, and human well-being. His research focuses on robustness under distribution shift, uncertainty, and real-world noise, particularly in domains involving complex social, political, and security dynamics.

Research Areas

Robustness and Uncertainty in AI Systems

  • Distribution shift and out-of-distribution generalization
  • Uncertainty quantification and calibration

AI for Social and High-Stakes Domains

  • Political and social information systems
  • Cybersecuity and healthcare applications

Emerging: Multi-agent LLM behavior, social dynamics, and safety

Selected Publications

Trustworthy and Robust AI

Yibo Hu, and Latifur Khan. Uncertainty-aware reliable text classification. KDD 2021. [link]

Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, and Feng Chen. Multidimensional Uncertainty-Aware Evidential Neural Networks. AAAI 2021. [link]

Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar. Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. WWW 2024. [link]

AI for Social and Political Systems

Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito J. D'Orazio. Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification. ACL 2024. [link]

Yibo Hu, MohammadSaleh Hosseini, Erick Skorupa Parolin, Javier Osorio, Latifur Khan, Patrick Brandt, and Vito D'Orazio. ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence. NAACL 2022. [link]

Bing He, Yibo Hu, Yeon-Chang Lee, Soyoung Oh, Gaurav Verma, Srijan Kumar. A Survey on the Role of Crowds in Combating Online Misinformation: Annotators, Evaluators, and Creators. ACM TKDD 19, no. 1 (2024): 1-30 [link]

AI Safety and Cyber Deception

Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, and Kevin Hamlen. Controllable Fake Document Infilling for Cyber Deception. EMNLP 2022 (Findings). [link]

Advising

I’m fortunate to work with the following students on research projects.

Master’s Students

  • Illinois Tech
    • Suraj Babu Thimma Krishnaram – hate speech moderation
    • Bharath Raahul Murugesan – social event coding
    • Karthikeyan Saravanan – multi-agent LLM behaviors
  • Visiting / Dual Program (Europe)
    UPC = Universitat Politècnica de Catalunya, Spain; UPM = Universidad Politécnica de Madrid, Spain.
    • Carlota Julbe (UPC) – robust machine learning
    • Diego Fernandez Arias (UPM) – tool-using agent security
    • Pablo Bote (UPM) – LLM vulnerability analysis

Teaching

  • ITMD 524: Applied Artificial Intelligence and Deep Learning (Graduate), Illinois Tech, Fall 2025, Spring 2026
  • ITMD 523: Advanced Topics in Data Management (Graduate), Illinois Tech, Spring 2026
  • CSE 8803 DSN: Data Science for Social Networks (Graduate), Georgia Tech, Fall 2023

Service

Editorial Roles

  • Co-Editor, Graph-Based Retrieval-Augmented Generation Systems, Frontiers in Big Data (2025-2026) [link]

Program Committee & Reviewing

  • ACL (2023-), EMNLP (2022-), NAACL (2024-), WWW (2024-)
  • IJCAI (Distinguished PC Member, 2023), KDD (2020-)
  • SDM (2022-), DASFAA (2023), IJCNN (2024), DSAA (2025)
  • Data4SoftSec 2026 (Workshop on Datasets for Software Security @ IEEE S&P)