Maysam Abbod
Papers
11
Total Citations
300
H-Index
8
About
Maysam Abbod is a versatile researcher whose work spans intelligent control systems, biomedical engineering, and human-robot interaction. With expertise bridging artificial intelligence and real-world applications, Abbod has made substantial contributions across multiple disciplines over two decades of scholarship. His earliest and most impactful work, a 2001 survey on fuzzy logic in medical monitoring and control (149 citations), established him as a pioneer in applying intelligent systems to healthcare contexts. This foundational contribution helped shape subsequent research in medical AI and remains widely referenced today. Abbod has also developed significant expertise in autonomous robotics, particularly nonholonomic mobile robot control, producing multiple studies on adaptive neural predictive controllers and posture-based identification systems that collectively demonstrate his commitment to advancing intelligent navigation under real-world disturbances. More recently, Abbod has expanded into human-computer interaction through hand gesture recognition using convolutional neural networks, targeting stroke rehabilitation applications, and into next-generation communications with reinforcement learning-based resource allocation for 5G network slicing. His work on physiological stress monitoring via photoplethysmography further underscores his interdisciplinary reach. Across fields, Abbod consistently pursues research that translates computational intelligence into practical, human-centered solutions, making his profile particularly valuable for students working at the intersection of AI, robotics, and healthcare.
Research Focus
Key Achievements
Top Papers
- 1A survey of fuzzy logic monitoring and control utilisation in medicine149 citations · 2001
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