Associate Professor, TU Delft

Welcome! I am an Associate Professor at the Web Information Systems group and Software Technology department of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology. I am a Director of the Delft AI “Design@Scale” Lab, and a member of the program management team of the TU Delft AI Labs. In addition, I co-lead a research line on Human-Centered AI and Crowd Computing at the WIS group.

I have been a Distinguished Speaker of the ACM, and a board member of CHI Netherlands, where I am currently acting as the Vice-Chair. Apart from other professional service roles, I have the pleasure of acting on the Steering Committee of the HCOMP conference, and as a Distinguished Reviewer on the Editorial Board of ACM Transactions on Interactive Intelligent Systems. In the recent past, I have worked as a Data and AI advisor in industry settings.

A portrait picture of Ujwal Gadiraju.

A Brief Bio

Prior to joining the WIS group, I worked at the L3S Research Center as a Postdoctoral researcher between 2017-2020. I received a PhD degree (Dr. rer. nat.) in Computer Science from the Leibniz University of Hannover, Germany in 2017, and an MSc. Computer Science degree from TU Delft, the Netherlands in 2012. My research interests lie at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), Crowd Computing, and Information Retrieval (IR).

My current research focuses on advancing human-centered AI through innovative computational techniques and systems that enhance human experiences, align AI systems with human values, promote inclusivity, and foster appropriate human reliance on AI systems.

Current Professional Service

  • Acting on the steering committee of the flagship conference on Human Computation and Crowdsourcing: https://www.humancomputation.com

  • The 29th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2026).

  • The ACM CHI conference on Human Factors in Computing Systems (CHI 2026) is the leading international conference on Human-Computer Interaction.

  • The Web Conference has been the forum where some of the most fundamental Web technologies have been introduced.

  • The ninth annual ACM Conference on Fairness, Accountability, and Transparency (FAccT 2026).

  • The 18th ACM Web Science Conference (WebSci 2026).

  • The 48th European Conference on Information Retrieval (ECIR 2026) is Europe's premier forum for cutting-edge research in Information Retrieval (IR).

News

3 new papers on human-AI collaboration and AI adoption accepted at ACM CHI 2026!

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Full paper accepted at ACM CHIIR 2026!

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4 papers presented at ACM CHI 2025.

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New book chapter on Human-AI Collaboration in Springer Enterprise AI book!

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Honorable Mention Award for CHI 2026 paper!

3 new papers on human-AI collaboration and AI adoption accepted at ACM CHI 2026! * Full paper accepted at ACM CHIIR 2026! * 4 papers presented at ACM CHI 2025. * New book chapter on Human-AI Collaboration in Springer Enterprise AI book! * Honorable Mention Award for CHI 2026 paper!

  • Our paper titled, “The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption“ received an honourable mention award for outstanding contributions.

    In the words of the awards co-chairs, “our work stood out to the reviewers and committee members for its originality, rigor, and potential impact on the field of human-computer interaction. It exemplifies the kind of forward-thinking, high-quality research that CHI aims to promote and celebrate.”

    1. When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption. Alexander Erlei, Federico Maria Cau, Radoslav Georgiev, Sagar Chethan Kumar, Kilian Bizer, Ujwal Gadiraju.

    2. Belief Updating and Delegation in Multi-Task Human–AI Interaction: Evidence from Controlled Simulations. Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju

    3. The Data-Dollars Trade-off: Privacy Harms vs. Economic Risk in Personalized AI Adoption. Alexander Erlei, Tahir Abbas, Kilian Bizer, Ujwal Gadiraju

  • From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics. Junjie Wang, Gaole He, Alisa Rieger, Ujwal Gadiraju. In Proceedings of ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2026).

  • Gadiraju, U., Balayn, A. (2025). The Enterprising and Elusive Prospects of Human-AI Collaboration. In: Sadiq, S. (eds) Enterprise AI. Springer, Cham.

    Read more here: https://link.springer.com/chapter/10.1007/978-3-032-01940-0_7

  • Quo Vadis, HCOMP? A Review of 12 Years of Research at the Frontier of Human Computation and Crowdsourcing. Jonas Oppenlaender, Ujwal Gadiraju, Simo Hosio. In Proceedings of the Collective Intelligence Conference (CI 2025). [PDF]

  • Unpacking Trust Dynamics in the LLM Supply Chain: An Empirical Exploration to Foster Trustworthy LLM Production & Use. Agathe Balayn, Mireia Yurrita, Fanny Rancourt, Fabio Casati, Ujwal Gadiraju. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI 2025). [PDF]