Biography
I am a Ph.D. candidate at KAUST in Saudi Arabia. I am part of the Image and Video Understanding Lab (IVUL) advised by Prof. Bernard Ghanem. I obtained my M.Sc degree in Electrical Engineering from KAUST, and my undergraduate degree in Electrical Engineering from Kuwait University. I am interested in continual learning and test time adaptation. Previously, I worked on assessing and enhancing network robustness and leveraging robust models for different applications.
Download my resumé.
Interests
- Test Time Adaptation
- Continual Learning
- Adversarial Robustness
- Computer Vision and Machine Learning
Education
PhD in Electrical and Computer Engineering, 2020-Present
KAUST
MSc in Electrical Engineering, 2019-2020
KAUST
BSc in Electrical Engineering, 2014-2018
Kuwait University
Experience
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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(2023).
PIVOT: Prompting for Video Continual Learning.
In CVPR'23.
(2023).
Real-Time Evaluation in Online Continual Learning: A New Paradigm.
In CVPR'23.
(2022).
SimCS: Simulation for Online Domain-Incremental Continual Segmentation.
In arxiv.
(2022).
Generalizability of Adversarial Robustness Under Distribution Shifts.
In AAAIW'23.
(2022).
Certified Robustness in Federated Learning.
In NeurIPSW'22.
Contact
- motasem.alfarra@kaust.edu.sa
- KAUST, Thuwal, 23955
- Building 1 - level 2 - Desk 2106-WS14