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Ujwal Gadiraju

Assistant Professor at Delft University of Technology

Major works

Areas of expertise:

  • Human-Centered AI
  • Crowd Computing
  • Human-Computer Interaction
  • Information Retrieval

Major works:

  • For What It’s Worth: Humans Overwrite Their Economic Self-Interest to Avoid Bargaining with AI Systems. Alexander Erlei, Richeek Das, Lukas Meub, Avishek Anand, Ujwal Gadiraju. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI 2022).
  • Great Chain of Agents: The Role of Metaphorical Representation of Agents in Conversational Crowdsourcing. Ji-Youn Jung, Sihang Qiu, Alessandro Bozzon, Ujwal Gadiraju. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI 2022).
  • Ready Player One! Eliciting Diverse Knowledge Using a Configurable Game. Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, and Ujwal Gadiraju. In Proceedings of the ACM Web Conference 2022 (WWW 2022).
  • To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support System. Akshit Gupta, Debadeep Basu, Ramya Ghantasala, Sihang Qiu, and Ujwal Gadiraju. In Proceedings of the ACM Web Conference 2022 (WWW 2022).
  • It is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge. Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju. In Proceedings of the 10th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2022).

Social links

About me

Ujwal Gadiraju is an Assistant Professor at the Web Information Systems group of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology. He is 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, Ujwal co-leads the Kappa research line on Crowd Computing and Human-Centered AI at the WIS group. He is a Distinguished Speaker of the ACM, and a board member of CHI Netherlands.

Ujwal is currently serving as the co-editor for two frontiers in AI journals: (1) Human-Centered AI and Crowd Computing and (2) User Modeling and Recommendations. He is also an associate editor of the Taylor and Francis Behavior and Information Technology journal and the co-editor-in-chief of the Human Computation Journal.

Before joining the WIS group, Ujwal worked at the L3S Research Center at Leibnitz University in Hannover, Germany as a Postdoctoral researcher between 2017-2020 where he received a PhD degree (Dr. rer. nat.) in Computer Science with a summa cum laude recognition in 2017. Ujwal had previously received an MSc in Computer Science from TU Delft, the Netherlands in 2012. His research interests lie at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Retrieval (IR), with a special focus on Crowd Computing. Ujwal’s prior work in Crowd Computing has explored methods to improve the effectiveness of the crowdsourcing paradigm, running large-scale human-centered experiments to understand the interaction between humans and machines and understanding the societal impact of algorithmic decision-making.

Ujwal’s goal is to create novel methods, interfaces, systems, and tools to overcome existing challenges on our path toward building better AI systems and facilitating better reliance of humans on AI systems.