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Dr. Ibrahim's current research is focused on brain-inspired computing, with applications to edge AI and healthcare, where he explores methods to optimize energy efficiency, resilience, and security. His research interests also include cyber-physical microfluidic biochips, IoT-based eHealth, and implantable micro-systems. In his research, Dr. Ibrahim draws on methods from computer architecture and embedded systems; electronic design automation; and agile VLSI design. Dr. Ibrahim's research has resulted in two co-authored books, three book chapters, and over 38 papers published in premier journals, such as Proceedings of the IEEE, and refereed conference proceedings.
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Zenodo (CERN European Organization for Nuclear Research) (2023)
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Karim Badr Hussein,Mohamed Ibrahim
Engineering Research Journal - Faculty of Engineering (Shoubra)no. 1 (2021): 145-162
2020 ACM/IEEE 2nd Workshop on Machine Learning for CAD (MLCAD)pp.151-156, (2020)
user-618b9067e554220b8f259598(2020)
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