Alina Roitberg
Scholar

Alina Roitberg

Google Scholar ID: UuEFRDoAAAAJ
University of Stuttgart
Deep LearningHuman Activity RecognitionMultimodal RecognitionAssistive Robotics
Citations & Impact
All-time
Citations
1,707
 
H-index
22
 
i10-index
36
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • IEEE ITSS Best Dissertation Award 2021 (second prize). Paper presented at ECCV. Another paper accepted to NeurIPS. Keynote talk at ICRA 2024 Long-term Human Motion Prediction Workshop.
Research Experience
  • Since September 2025: Full Professor (W3) of Machine Learning, University of Hildesheim, Head of the Intelligent Assistive Systems group. Since August 2023: Faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). June 2023 – August 2025: Tenure-Track Assistant Professor – Autonomous Sensing and Perception Group, University of Stuttgart. April 2023 – May 2023: Visiting Researcher – Chair for Sustainable Transport Logistics 4.0, Johannes Kepler University Linz, Austria. April 2021 – May 2023: Postdoctoral Researcher – Lead of the Activity Recognition Group at CV:HCI.
Education
  • PhD from Karlsruhe Institute of Technology (April 2017 - April 2021), topic: 'Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles.' Advisors: Prof. Dr.-Ing. Rainer Stiefelhagen (KIT, IAR) and Prof. Dr. Mohan Trivedi (University of San Diego). M.Sc. in Computer Science from Technical University Munich (2013 - 2015). B.Sc. in Computer Science from Technical University Munich (2009 - 2012). Erasmus studies at Chalmers University of Technology, Gothenburg, Sweden (2012 - 2013).
Background
  • Full Professor of Machine Learning at the University of Hildesheim, focusing on deep learning for data-efficient, uncertainty-aware, and adaptive visual and multimodal perception of humans. Targets impactful applications in assistive systems, autonomous driving, and robotics.
Miscellany
  • Interests include, but are not limited to, computer vision, artificial intelligence, and their practical applications in real life.