Biography
I am a machine learning researcher at Qualcomm AI Research in Amsterdam, Netherlands. I obtained my Ph.D. in Electrical and Computer Engineering from KAUST in Saudi Arabia advised by Prof. Bernard Ghanem. I also obtained my M.Sc degree in Electrical Engineering from KAUST, and my undergraduate degree in Electrical Engineering from Kuwait University.
Download my resumé.
Interests
- LLM Safety
- Test Time Adaptation
- Continual Learning
- Computer Vision and Machine Learning
Education
PhD in Electrical and Computer Engineering, 2020-2024
KAUST
MSc in Electrical Engineering, 2019-2020
KAUST
BSc in Electrical Engineering, 2014-2018
Kuwait University
Experience
Researcher
Research Scienctist at Qualcomm AI Research, Amsterdam.
Research Internship
Research internship at the distributed learning team in Qualcomm AI Research.
Research Internship
Research internship at the Embodied AI Lab at Intel supervised by Matthias Müller.
Research Internship
Research visit to the Torr Vision Group (TVG) supervised by Prof. Philip Torr.
Teacher Assistant
I was a TA for the Ph.D course “Introduction to Computer Vision”.
Guest Lecturer
I gave one lecture titled “Adversarial Attacks and Network Robustness”.
Research Assistant
Developed algorithms and implemented network simulations.
Featured Publications
Recent Publications
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(2024).
Combating Missing Modalities in Egocentric Videos at Test Time.
In arxiv.
(2024).
Generalizability of Adversarial Robustness Under Distribution Shifts.
In MICCAI.
(2023).
Generalizability of Adversarial Robustness Under Distribution Shifts.
In TMLR [Featured].
(2023).
Online Distillation with Continual Learning for Cyclic Domain Shifts.
In CVPRW'23.
(2023).
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition.
In CVPRW'23.
Contact
- motasem.alfarra@kaust.edu.sa
- KAUST, Thuwal, 23955
- Building 1 - level 2 - Desk 2106-WS14