Ujwal Gadiraju

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Assistant Professor, TU Delft

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An Introduction to Hybrid Human-Machine Information Systems
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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. He is an advisory board member 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. He is currently an Associate Editor of the Taylor and Francis Behavior and Information Technology journal.

Prior to 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.

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