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Dr. Majid Khonji
Majid Khonji is an assistant professor in the EECS department at Khalifa University, UAE, a Research Affiliate with MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), USA, and leading research activities of the autonomous vehicle laboratory (www.avlab.io) at KUCARS. He received his MSc degree in Security, Cryptology, and Coding of Information Systems from Ensimag, Grenoble Institute of Technology, France, and PhD in Interdisciplinary Engineering from Masdar Institute, UAE, in collaboration with MIT in 2016. Previously, he was a visiting professor at MIT CSAIL, a senior R&D technologist at Dubai Electricity and Water Authority (DEWA), and an information security researcher at Emirates Advanced Investment Group (EAIG).
Email: majid.khonji(at)ku.ac.ae
Prof. Jorge Dias
Jorge Dias has a Ph.D. in EE and Coordinates the Artificial Perception Group from the Institute of Systems and Robotics from the University of Coimbra, Portugal. He is Full Professor at Khalifa University, Abu Dhabi, UAE and Deputy Director from the Center of Autonomous Robotic Systems from Khalifa University. His expertise is in the area of Artificial Perception (Computer Vision and Robotic Vision) and has contributions on the field since 1984. He has been principal investigator and consortia coordinator from several research international projects, and coordinates the research group on Computer Vision and Artificial Perception from KUCARS.
Jorge Dias published several articles in the area of Computer Vision and Robotics that include more than 300 publications in international journals and conference proceedings and recently published book on Probabilistic Robot Perception that addresses the use of statistical modeling and Artificial Intelligence for Perception, Planning and Decision in Robots. He was the Project Coordinator of two European Consortium for the Projects "Social Robot" and "GrowMeUP" that were developed to support the inclusivity and wellbeing for of the Elderly generation.
Email: jorge.dias(at)ku.ac.ae
Dr. Bilal Hassan
Postdoctoral Fellow
Bilal Hassan received the Ph.D. degree in Pattern Recognition and Intelligent Systems at Beihang University, China, in 2022. He is currently a Postdoctoral Fellow at Khalifa University, UAE. His research interest lies in computer vision, medical imaging, wireless communication, and related applications.
Arjun Sharma
Research Associate
Arjun is a Robotics Mechanical Engineer at Autonomous Vehicle Laboratory; He specializes in mechanisms and mechanical design of robotic systems. He graduated with an M.S. in Mechanical Engineering from Khalifa University. His research focuses on robotic systems' design, testing, and operation. Arjun has led hardware development for several novel robotic systems, including intelligent loading and unloading mechanisms, a drive-by-wire robotic system, and many more.
In addition, he has experience working in the international laboratory, such as the S2TS Lab for advanced microchannel heat exchangers at the University of Maryland College Park, USA.
Mohammad Riyadh Alkharrat
Researche Assistant
Riyadh received his Bachelor of Computer Engineering degree from the University of Wollongong in Dubai and is dedicated to advancing the fields of autonomous vehicles, robotics and wireless communications. He is currently working on the development of an autonomous shuttle, this project involves the integration of risk aware planning and perception technologies to create a self-driving vehicle. His previous research work lies in the field of LoRa wireless communication resources optimization and improving channel allocation.
Nadya Abdel Madjid
PhD Student; joined Fall 2022; funded under KUCARS Theme 1
Nadya Abdel Madjid received the Bachelor’s Degree in applied mathematics and Computer Science from Lomonosov Moscow State University and the Masters degree through the research and teaching assistant scholarship from the Khalifa University of Science and Technology in 2020. Her Master's thesis research was conducted as a part of the group project aiming on creating an EIT-based flexible tactile sensor to equip robots with sensing capability and artificial skin. Nadya's part was to design an object recognition algorithm for the sensor. In 2021, Nadya joined as a Research Assistant in the division of Computer Science at New York University Abu Dhabi. There her research was focused on Question Answering over Knowledge Graphs. In 2022, Nadya joined Khalifa University as a PhD student and in January 2023, she joined the AV lab. Currently her research is related to multi-agent systems.
Mohammed Nagy
PhD Student; joined Spring 2023; funded under KUCARS Theme 1
Mohamed Nagy received a B.S. (2018) in mathematics and computer science from Helwan University, Egypt, and he is recently pursuing an MSc in computer science at Khalifa University, UAE. As part of his career journey, he has been a teaching assistant at Helwan University since 2018 and joined Udacity as a mentor in 2020. His research and teaching concentrate on algorithms, deep learning, and perception for autonomous vehicles. In 2016, he joined the "Mobile Application Launchpad" program by Google, followed by internships and scholarships from leading companies and government entities, namely, Google, Facebook, Udacity, and the Ministry of Communications and Information Technology (MCIT) of Egypt. In 2018, he voluntarily contributed as an Android tutor in One Million Arab Coders, a global initiative, and was cited as one of the best tutors by the Dubai Future Foundation.
His research interests include object tracking, autonomous systems perception, sensor fusion, and deep learning.
Email: mohamed.nagy(at)ku.ac.ae
Abdulrahman Hamdy Ahmad
PhD Student; joined Spring 2023; funded under KUCARS Theme 1
(Student Member, IEEE) received the B.Sc. degree (Hons.) in computer and systems engineering from Minia University, Minia, Egypt, in 2016, M.Sc in Electrical and Computer Engineering from Khalifa University of Science and Technology, Abu Dhabi, UAE, in 2023 and he is pursuing his Ph.D degree in Electrical Engineering and Computer Science besides joining the Autonomous Vehicles Lab from Khalifa University, Abu Dhabi, UAE. He is on a leave from 2021 till now from the college of engineering, Minia University, Egypt, as a faculty member. His main research interests include motion planning of autonomous vehicles, end-to-end autonomous driving, optimization, machine learning, and intelligent transportation systems.
Murad Mebrahtu
MSc CS; joined Fall 2021; funded under CIRA-2020-286
Murad Smreteab received his Bachelor of Science in Computer Engineering from Khalifa University with the highest honors in January 2021. He is currently pursuing his master’s degree in computer science at Khalifa University. His main areas of research are Machine learning, Deep learning, and Autonomous driving. His master’s thesis is focused on pedestrian behavior prediction and safe navigation around pedestrians. Murad is a member of IEEE Eta Kappa Nu at Khalifa university since 2018 and a member of the Golden Key honor society since 2020. Outside the classroom, he occasionally participates in competitions. In 2018, he won second place in the National Huawei ICT competition in UAE and represented the UAE in the middle east ICT competition. Moreover, he won third place in capture the flag group competition in UAE. As an intern, he worked at Gamalearn as Microsoft PowerApps and flow developer. He also has experience as a teaching assistant at khalifa university working as a primary C++ lab instructor and assistant data structures lab instructor. Outside academia he is actively involved in sports, representing Khalifa university both in football and volleyball. In his free time he enjoys playing sports and watching movies.
Email: Murad.Mebrahtu(at)ku.ac.ae
Awet Araia
MSc CS; joined Spring 2022; funded KUCARS Theme 1
Awet Mekonen received his Bachelor of Science in Computer Engineering from Khalifa University in May 2021. He is currently pursuing his master’s degree in computer science at Khalifa University. His main areas of research are Artificial intelligence, Machine learning, Deep learning, and Autonomous driving. His master’s thesis is focused on Multi agent constrained deep reinforcement learning for autonomous vehicles safe behavioral planning. He is also actively engaged as a teaching assistant at Khalifa university working as a primary lab instructor.
Abiel Ghebreslasie
MSc CS; joined Spring 2022; funded under KU-KAIST KKJRC-2019-Trans1
Abiel Fissehatsion received his Bachelor of Science in Computer Engineering from Khalifa University in May 2021. He is currently pursuing his master’s degree in computer science at Khalifa University. His main areas of research are Artificial intelligence, Machine learning, Deep learning, and Autonomous driving. His master’s thesis is focused on Deep reinforcement learning for autonomous vehicles safe behavioral planning. He is also actively engaged as a teaching assistant at Khalifa university working as a primary lab instructor.
Hamad Al Remeithi
Part-time MSc ECE; jointed Spring 2022
Hamad AlRemeithi received his B.Sc. in Electrical and Electronics Engineering from Khalifa University in 2020. In Spring 2021 he started pursuing a M.Sc. degree in Electrical and Computer Engineering, as a part-time student. Academically, his research interests lie within mobile robotics, deep learning, neuromorphic computing, computer vision, and dabbles a little in cyber-security. He has also completed an research internship in Khalifa University within the Visual Signal Analysis and Processing Lab (VSAP) in Summer 2019 where he conducted experiments related to Deep Learning and Medical Imaging, in addition to UAVs. Currently, Hamad is working in Tawazun Technology and Innovation (TTI) as a R&D Engineer, where he is involved in System Integration activities and the development of Electro-Optical Systems. Previously, Hamad was very active in robotics competitions; he has competed and trained teams in several iterations of World Skills, Emirate Skills, RoboCup, and RoboCup Junior, from the years 2016 to 2021.
Email: 100042793(at)ku.ac.ae or hamad.alremeithi(at)tawazunti.ae or h.alremeithi21(at)gmail.com
Fatima Kashwani
MSc CS; joined Fall 2022
Fatima Kashwani received her Bachelor’s degree in Biomedical Engineering with honors at Khalifa University in 2021. She is currently pursuing her Master’s degree in Computer Science at Khalifa University. Her main research areas are artificial intelligence, machine learning, and autonomous vehicles. Her thesis project is focused on teleoperation of unmanned vehicles.
Many thanks to AV Lab Alumni for their great contributions.
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