Scholar
Ujwal Gadiraju
Google Scholar ID: FX7BF6QAAAAJ
Associate Professor, Delft University of Technology
Citations & Impact
Citations
5,038
H-index
35
i10-index
79
Publications
20
Co-authors
29
list available
Publications
Resume (English only)
Academic Achievements
- 2023: 1 full paper accepted at ACM CHI 2023
- 2022: 2 research track papers, 1 open science track paper, and 1 tutorial accepted at ACM IUI 2023
- 2022: 4 full papers accepted at AAAI HCOMP 2022
- 2022: Paper 'Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game' received Best Paper Award Nomination at ACM WWW 2022
- 2022: 2 full papers accepted at ACM CHI 2022
- 2022: 3 full papers accepted at ACM WWW 2022
- 2021: Paper 'A Checklist to Combat Cognitive Biases in Crowdsourcing' won Amazon Science Best Paper Award at AAAI HCOMP 2021
- 2021: Work 'FindItOut: A Multiplayer GWAP for Collecting Plural Knowledge' won Toloka Best Poster/Demo Award at AAAI HCOMP 2021
- 2021: 3 full papers accepted at AAAI HCOMP 2021
- 2021: Paper 'What Is Unclear? Computational Assessment of Task Clarity in Crowdsourcing' accepted at ACM HT 2021
- Served in key roles at top conferences: Editor for ACM CSCW 2024; Conference & Program Co-chair for AAAI HCOMP 2024; Associate Chair for ACM CHI 2024 (Understanding People - Statistical and Quantitative Methods); Social Events Co-Chair for ACM SIGIR 2024; Workshops & Tutorials Co-Chair for ACM WebSci 2024; Area Chair for ACM FAccT 2024 (Experiences & Interactions and System Development & Deployment)
- Publicity Chair for ACM HT 2022
Background
- Associate Professor at the Web Information Systems (WIS) group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology (TU Delft)
- Director of the Delft AI “Design@Scale” Lab
- Member of the program management team of TU Delft AI Labs
- Co-leads the Kappa research line on Human-Centered AI and Crowd Computing at WIS
- Distinguished Speaker of the ACM
- Board member of CHI Netherlands, currently serving as Vice-Chair
- Advisory board member for Deeploy, an MLOps company
- Co-Editor of two Frontiers in AI journals: Human-Centered AI and Crowd Computing, and User Modeling and Recommendations
- Associate Editor of Behavior and Information Technology (Taylor & Francis)
- Distinguished Reviewer on the Editorial Board of ACM Transactions on Interactive Intelligent Systems
- Research interests lie at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Retrieval (IR), with a focus on Crowd Computing
- Aims to create novel methods, interfaces, systems, and tools to address challenges in building better AI systems and enhancing human reliance on AI
