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About

Habib Hamam is a multidisciplinary researcher whose work spans artificial intelligence, brain-computer interfaces, robotics, cloud computing, and healthcare technology. He is perhaps best known for his comprehensive literature reviews on artificial intelligence, published in *Artificial Intelligence Review*, which together have garnered over 200 citations and have become foundational references for scholars entering the AI field, offering structured overviews of AI's history, subfields, and diverse applications ranging from image processing to human-computer interaction. Hamam's research increasingly bridges AI with emerging technologies. His work on EEG-based motor imagery classification and intelligent robotic arm control via brain-computer interfaces demonstrates a commitment to making assistive technologies more accessible and responsive. His investigations into cloud robotics — including privacy-preserving face recognition and multi-objective computation offloading — address real-world constraints of on-board processing and data security. More recently, he has contributed to the intersection of AI and healthcare, exploring transformative applications in neurosurgery and neurology, as well as the integration of IoMT with blockchain. With a growing body of work exceeding 330 cumulative citations, Hamam represents a researcher who consistently connects theoretical AI frameworks to practical, human-centered applications, making his scholarship valuable to students, engineers, and clinicians alike.