Omar Eldash

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Omar Eldash

Omar Eldash received his B.Sc. degrees in Electrical Engineering from Fayoum University, Fayoum, Egypt in 2009. He received M.Sc. degree in Computer Engineering from the Center of Ad-vanced Computer Studies (CACS), University ofLouisiana at Lafayette, LA, USA in 2016. He is currently a Ph.D. candidate at University of Louisiana at Lafayette, LA, USA. His research interests include: system on chip, reconfigurable hardware, dynamic hardware, machine learning, and, hardware accelerators.

Publications:

• Omar Eldash, Adam Frost, Kasem Khalil, Ashok Kumar, Magdy Bayoumi. Dynamically Recon-figurable Deep Learning for Efficient Video Processing in Smart IoT Systems In 6th IEEE WorldForum on Internet of Things (WFIoT), IEEE,2020
• Khalil, Kasem, Omar Eldash, Ashok Kumar, and Magdy Bayoumi. ”Intelligent Fault-PredictionAssisted Self-Healing for Embryonic Hardware.” IEEE Transactions on Biomedical Circuits andSystems (2020).
• Khalil, Kasem, Omar Eldash, Bappaditya Dey, Ashok Kumar, and Magdy Bayoumi. ”A NovelReconfigurable Hardware Architecture of Neural Network.” In 2019 IEEE 62nd International Mid-west Symposium on Circuits and Systems (MWSCAS), pp. 618-621. IEEE, 2019.
• Khalil, Kasem, Omar Eldash, Ashok Kumar, and Magdy Bayoumi. ”N 2 OC: Neural-Network-on-Chip Architecture.” In 2019 32nd IEEE International System-on-Chip Conference (SOCC), pp.272-277. IEEE, 2019.
• Khalil, Kasem, Omar Eldash, Ashok Kumar, and Magdy Bayoumi. ”Self-healing hardware sys-tems: A review.” Microelectronics Journal (2019): 104620.
• Khalil, Kasem, Omar Eldash, Ashok Kumar, and Magdy Bayoumi. ”Economic LSTM Approachfor Recurrent Neural Networks.” IEEE Transactions on Circuits and Systems II: Express Briefs(2019).
• Khalil, Kasem, Omar Eldash, Ashok Kumar, and Magdy Bayoumi. ”A Speed and Energy FocusedFramework for Dynamic Hardware Reconfiguration.” In 2019 32nd IEEE International System-on-Chip Conference (SOCC), pp. 388-393. IEEE, 2019.
• Khalil, Kasem, Omar Eldash, Ashok Kumar, and Magdy Bayoumi. ”An Efficient Approach forNeural Network Architecture.” In 2018 25th IEEE International Conference on Electronics, Cir-cuits and Systems (ICECS), pp. 745-748. IEEE, 2018.
• Khalil, Kasem, Omar Eldash, Ashok Kumar, and Magdy Bayoumi. ”Flexible Self-Healing Routerfor Reliable and High-Performance Network-on-Chips Architecture.” In 2018 31st IEEE Interna-tional System-on-Chip Conference (SOCC), pp. 152-157. IEEE, 2018.
• Khalil, Kasem, Omar Eldash, and Magdy Bayoumi. ”A cost-effective self-healing approach forreliable hardware systems.” In 2018 IEEE International Symposium on Circuits and Systems(ISCAS), pp. 1-5. IEEE, 2018.
• Eldash, Omar, Kasem Khalil, and Magdy Bayoumi. ”On reconfigurable fabrics for intelligenthardware systems.” In 2017 24th IEEE International Conference on Electronics, Circuits andSystems (ICECS), pp. 136-139. IEEE, 2017.
• Khalil, Kasem, Omar Eldash, and Magdy Bayoumi. ”Self-healing router architecture for reli-able network-on-chips.” In 2017 24th IEEE International Conference on Electronics, Circuits andSystems (ICECS), pp. 330-333. IEEE, 2017.
• Khalil, Kasem, Omar K. Eldash, and Magdy Bayoumi. ”A novel approach towards less areaoverhead self-healing hardware systems.” In 2017 IEEE 60th International Midwest Symposiumon Circuits and Systems (MWSCAS), pp. 1585-1588. IEEE, 2017.
• Eldash, Omar, Kasem Khalil, and Magdy Bayoumi. ”On on-chip intelligence paradigms.” In 2017IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-6.IEEE, 2017.
• Sarhan, H., O. K. Eddash, M. Raymond, A. Wassal, and Y. Ismail. ”Temperature-aware adaptivetask-mapping targeting uniform thermal distribution in mpsoc platforms.” In 2010 InternationalConference on Energy Aware Computing, pp. 1-3. IEEE, 2010.