Biography
I am a PhD student at Oxford Brookes University, my main research is focused on Intention and Trajectory Prediction in Autonomous Vehicles. I am also engaged in applying machine learning in medical applications. I am using Continual Learning, Computational Theory of Mind, Transformers, and Graphs in my research.
Download my resumé.
Interests
- Artificial Intelligence
- Computer Vision
- Machine Learning
- Continual Learning
- Autonomous Vehicles
Education
PhD in Autonomous Vehicles Technologies
Oxford Brookes University
MSc in Robotics
King's College London
BSc in Mechanical Engineering
American University of Madaba
News
- [June 4th, 2023]: Our challenge titled ROAD-R: the Road Event Detection with Requirements Challenge is accepted at NeurIPS 2023 Competition Track.
- [June 2nd, 2023]: I served as program Committee member at the Scalable Autonomous Driving Workshop at ICRA 2023.
- [May 9th, 2023]: I served as organising committee member at Oxford Brookes University PGR Symposium 2023.
- [April 7th, 2023]: Our workshop titled ROAD++ is accepted at ICCV 2023.
- [November 1st, 2022]: I started my position as an Applied Science Intern at Amazon.
- [July 28th, 2022]: I presented two papers at IJCAI 2022.
- [July 20th, 2022]: I presented a paper at ICML 2022.
- [July 16th, 2022]: I ranked the first in the Essay Competition at ICVSS 2022, and I was awarded an internship at Leonardo Labs in Rome.
- [May 24th, 2022]: I received a travel and registration grant from IJCAI.
- [May 24th, 2022]: I am accepted as a volunteer at IJCAI.
Experience
Applied Science Intern
Amazon
- I applied self-supervised machine learning models to improve damage detection in Amazon Fulfilment Centers.
- I improved my skills in AWS (storage and computation), code review, and documentations.
AI Project Lead
Oxford Brookes Racing Autonomous Team
- Leading a team of 25 BSc and MSc students in developing an autonomous driving system for Formula-1 car. The team won 1st and 2nd places in UK IMechE Formula Student AI 2020 and 2021 competitions, respectively.
- Writing the team’s yearly plan and milestones. Supervising budget, recruitment, and research&industry connections.
Robotics Lecturer
Al-Zaytona University of Science and Technology
- Delivered courses and supervised labs for the BSc Robotics programme.
- Participated in modifying the BSc Robotics programme’s structure to include latest technology and suit market needs.
Machine Learning Engineer
Alpha Omega Biomedical Engineering
- Applied LSTM to build a GPi-navigation software that classified microelectrode recordings series and detected the Striatum-GPe-GPi borders online in Parkinson’s disease, with an accuracy of 91.1%.
- Worked inside the operating room with high credentials neurologists, observed the algorithm’s performance, recorded feedback, and modified the algorithm accordingly.
- Worked within an AGILE environment and wrote the Software Requirements Specification (SRS) for the GPi-Navigation software.
Research and Teaching Assistant
Birzeit University
- Delivered laboratories, such as Control, Technical and Mechanical Drawing, Vibrations, Thermal Applications, Mechanics.
- Designed experiments in the labs, and delivered professional skills workshops for the students.
- Helped the department with administrative tasks and invigilate exams and tests.
Research and Teaching Assistant, Part-time
Palestine Polytechnic University
- Delivered Mechanical Drawing lab, and discussion lectures for Dynamics, Machines Dynamics, and Control Theory.
Recent Publications
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(2022).
Self-Supervised Pretraining for Object Detection in Autonomous Driving.
In AI4AD-IJCAI22.
(2022).
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing.
In SL4AD @ ICML22.
(2022).
Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey.
In IJCAI22.
(2021).
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles.
In ROAD @ ICCV21.