About

Ujwal Gadiraju is an Associate Professor at the Web Information Systems group of the Faculty of 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 has been a Distinguished Speaker of the ACM, a Research Fellow at the Weizenbaum Institute, and a board member of CHI Netherlands, where he is currently acting as the Vice-Chair. He has acted on the advisory board for Deeploy, a growing MLOps company. Ujwal has served as the Co-Editor for two Frontiers in AI journals: (1) Human-Centered AI and Crowd Computing and (2) User Modeling and Recommendations, and as an Associate Editor of the Taylor and Francis Behavior and Information Technology journal. He is currently acting as a Distinguished Reviewer on the Editorial Board of ACM Transactions on Interactive Intelligent Systems. 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.

Before joining the WIS group, Ujwal worked at the L3S Research Center as a Postdoctoral researcher between 2017-2020. Ujwal 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. 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 towards building better AI systems and facilitating better reliance of humans on AI systems.

More information and a full list of publications can be found on his personal website HERE.

Publications