Our Experts

Journal Articles

1. Luke Chen, Mohanad Odema and Mohammad Abdullah Al Faruque (2025) “DisCovHAR: Contrastive Attention for Human Activity Recognition Under Distribution Shifts”, IEEE Internet of Things Journal, 12(12), pp. 21973–21983. Available at: 10.1109/JIOT.2025.3551263. [ITS-Irvine record]
2. Arnav Malawade, Mohanad Odema, Sebastien Lajeunesse-degroot and Mohammad Abdullah Al Faruque (2021) “SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control”, ACM Transactions on Embedded Computing Systems, 20(5s), pp. 75:1–75:22. Available at: 10.1145/3477006. [ITS-Irvine record]

Conference Papers

1. Mohanad Odema, Luke Chen, Hyoukjun Kwon and Mohammad Abdullah Al Faruque (2025) “Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception”, in 2025 Design, Automation & Test in Europe Conference (DATE). 2025 Design, Automation & Test in Europe Conference (DATE), pp. 1–7. Available at: 10.23919/DATE64628.2025.10993228. [ITS-Irvine record]
2. Mohanad Odema, Luke Chen, Hyoukjun Kwon and Mohammad Abdullah Al Faruque (2024) “SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators”, in 2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO). 2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO), pp. 565–579. Available at: 10.1109/MICRO61859.2024.00049. [ITS-Irvine record]
3. Luke Chen, Mohanad Odema and Mohammad Abdullah Al Faruque (2022) “Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems”, in Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design. New York, NY, USA: Association for Computing Machinery (ICCAD '22), pp. 1–8. Available at: 10.1145/3508352.3549356. [ITS-Irvine record]

Theses and Dissertations

1. Mohanad Odema (2024) Hardware/software co-design methodologies for efficient ai systems and applications. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991035617355904701. [ITS-Irvine record]

Technical Reports

1. Y Moghaddas, M Fakih, T Zhang, M Odema and MA Al Faruque (2023) ‪An Integrated Corridor Management for Connected Vehicles and Park and Ride Structures using Deep Reinforcement Learning‬. Technical Report 23-03. Center for Embedded & Cyber-Physical Systems, UCI. Available at: https://cecs.uci.edu/files/2023/08/An-Integrated-Corridor-Management-for-Connected-Vehicles-and-Parkand-Ride-Structures-using-Deep-Reinforcement-Learning.pdf (Accessed: October 5, 2023). [ITS-Irvine record]
2. Mohanad Odema, Mohamad Fakih, Tyler Zhang and Mohammad A. Al Faruque (2023) Reducing Congestion by Using Integrated Corridor Management Technology to Divert Vehicles to Park-and-Ride Facilities. Available at: https://escholarship.org/uc/item/2dn8411b (Accessed: October 11, 2023). [ITS-Irvine record]
3. Mohanad Odema, Mohamad Fakih, Tyler Zhang and Mohammad A. Al Faruque (2023) Reducing Congestion by Using Integrated Corridor Management Technology to Divert Vehicles to Park-and-Ride Facilities. Available at: https://escholarship.org/uc/item/2dn8411b (Accessed: October 11, 2023). [ITS-Irvine record]
4. Mohammad Abdullah Al Faruque, Mohanad Odema and Luke Chen (2021) Software and Hardware Systems for Autonomous Smart Parking Accommodating Both Traditional and Autonomous Vehicles. PSR-19-30. Available at: https://www.metrans.org/assets/research/psr-19-30_al-faruque_final-report.pdf (Accessed: October 11, 2023). [ITS-Irvine record]

Policy Briefs

1. Mohamad Habib Fakih, Mohammad Abdullah Al Faruque, Mohanad Odema and Tyler Zhang (2023) Connected Vehicle Technology and AI Could Help Reduce Highway Congestion through Better Utilization of Park and Ride Facilitie. Policy Brief. UC ITS. Available at: https://doi.org/10.7922/g22n50mf. [ITS-Irvine record]
2. Mohanad Odema, Mohamad Fakih, Tyler Zhang and Mohammad Abdullah Al Faruque (2023) Connected Vehicle Technology and AI Could Help Reduce Highway Congestion through Better Utilization of Park and Ride Facilities. Policy Brief. Available at: https://escholarship.org/uc/item/8gm4303c (Accessed: October 11, 2023). [ITS-Irvine record]

Preprints

1. Mohanad Odema, Luke Chen, Hyoukjun Kwon and Mohammad Abdullah Al Faruque (2024) “SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators”. arXiv. Available at: 10.48550/arXiv.2405.00790. [ITS-Irvine record]

Other

1. Mohammad Abdullah Al Faruque, Yasser Shoukry Ahmed SAKR, Mohanad Mohamed Abdelmagid Abdelkhalek Odema and James Robert FERLEZ (2024) “Safely scheduling offloading of computing tasks for an autonomous vehicle”. Available at: https://patents.google.com/patent/US20240367678A1/en (Accessed: August 21, 2025). [Other] [ITS-Irvine record]