- Andreas Specker, Fraunhofer IOSB. andreas.specker@iosb.fraunhofer.de Andreas Specker, PhD (KIT, 2024), is a postdoctoral researcher at Fraunhofer IOSB in Karlsruhe, Germany. His work focuses on deep learning for attribute-based person retrieval, multi-camera tracking, and deepfake detection. He organized the UPAR challenge (2023, 2024) and the RWS workshop in 2025.
- Mickael Cormier, Fraunhofer IOSB. mickael.cormier@iosb.fraunhofer.de Mickael Cormier, M.Sc. (KIT, 2019), is a PhD student at the Karlsruhe Institute of Technology and a research assistant at Fraunhofer IOSB in Karlsruhe, Germany. He works on real-time video evaluation in distributed sensor systems, with research interests in human pose estimation, activity recognition, and data annotation. He organized the UPAR challenge (2023, 2024) and the RWS workshop in 2025.
- Sergio Escalera Guerrero, Universitat de Barcelona. sescalera@cvc.uab.cat Sergio Escalera, PhD (UAB), is a Full Professor at Universitat de Barcelona and a Fellow of ELLIS, specializing in human-centric machine learning. He has over 300 publications, multiple patents, and co-created the Codalab platform while holding leadership roles in major AI conferences.
- Radu Ionescu, University of Bucharest. raducu.ionescu@gmail.com Radu Tudor Ionescu, PhD (University of Bucharest, 2013), is a Professor at the University of Bucharest specializing in machine learning, text mining, and computer vision, with over 150 publications and multiple international awards. He has achieved top rankings in global AI competitions and served as Area Chair for conferences like NeurIPS, ACL, and ICPR.
- Fahad Shahbaz Khan, MBZUAI. fahad.khan@liu.se Fahad Khan is an Associate Professor at MBZUAI, UAE, and Linköping University, Sweden, specializing in computer vision and machine learning with over 100 publications and 50,000 citations. He has earned top rankings in international challenges (e.g., VOT, PASCAL VOC) and received the Best Paper Award at IEEE ICPR 2016.
- Kamal Nasrollahi,Aalborg University. kn@create.aau.dk Kamal Nasrollahi is a Professor at Aalborg University and Director of Research at Milestone Systems, specializing in computer vision and machine learning with over 110 publications and three best paper awards. His research focuses on anomaly detection, object detection, tracking, and transfer learning, and he serves on technical committees for various conferences and journals.
