Scholar
Amr Gomaa
Google Scholar ID: xiPvQxwAAAAJ
University of Cambridge , German Research Center for Artificial Intelligence , Saarland University
Citations & Impact
Citations
245
H-index
8
i10-index
7
Publications
20
Co-authors
31
list available
Publications
Resume (English only)
Academic Achievements
- Designed and implemented an adaptive multimodal fusion approach for personalized object referencing in a moving vehicle while driving; Developed a machine learning-based system to estimate driver's mental workload using psychophysiological signals (heart rate and pupillometry) to adapt the vehicle interface and improve safety; Researched incremental learning approaches to adapt to driver behavior through hand gestures for controlling vehicle information; Managing a BMBF-funded project on surgical robotic systems, simulating ophthalmic cataract surgery using reinforcement and imitation learning.
Research Experience
- Visiting Researcher at the Machine Intelligence Laboratory, Cambridge University, Department of Engineering, supervised by Prof. Dr. Per Ola Kristensson; Leading a government-funded research project: TeachTAM; Worked on projects with partners like Microsoft Research, BMW, Volkswagen, and Zeiss.
Education
- Doctoral Researcher at the German Research Center for Artificial Intelligence, supervised by Prof. Dr. Antonio Krüger and advised by Dr.-Ing. Michael Feld; MSc in Computer Science from Saarland University.
Background
- Research interests: User-centered Artificial Intelligence and Incremental Learning approaches with a focus on Evaluation, Personalization, and Model Adaptation. Research topics include Gesture Recognition & Computer Vision, NLP & LLMs Security and Evaluation, Multimodal Interaction & Interface Design, Incremental & Continual Learning, and Reinforcement & Imitation Learning. Worked in domains such as Dialogue Systems, Automotive, Robotics, and Well-being in interdisciplinary academic and industry-oriented projects.
Miscellany
- Interested in collaborating with researchers and business partners.
