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About

Dr. Amr Tolba is a leading researcher at the intersection of artificial intelligence, the Internet of Things (IoT), and healthcare robotics, with a particular focus on advancing Healthcare 4.0. His work is distinguished by pioneering contributions to secure, intelligent, and human-centric robotic systems. Dr. Tolba has developed innovative frameworks for heart stroke prediction using artificial neural network-driven federated learning, a paper that has garnered 39 citations for its impact on smart healthcare diagnostics. He also introduced a groundbreaking IoST-enabled robotic arm control system that uses minimal flex sensors and Gaussian Mixture Models for abnormality prediction, earning 21 citations for its potential to assist individuals with limb impairments. His research extends to secure telesurgery operations, where he has orchestrated deep learning-based garlic routing architectures to protect sensitive surgical data in real-time IoT applications. Additionally, Dr. Tolba has advanced human-robot interactions in smart city applications and developed efficient control methods for spider-like medical robots using capsule neural networks. With a growing citation record and a portfolio of work that seamlessly integrates AI, IoT, and robotics, Dr. Tolba is shaping the future of dependable, intelligent, and secure healthcare technologies.