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About

Dr. Habib Ullah Khan is a pioneering researcher at the intersection of robotics, artificial intelligence, and healthcare technology, whose work is shaping the future of human-robot interaction and autonomous systems. His key research areas span speech emotion recognition, mobile robot localization, and the Internet of Robotic Things (IoRT), with a particular focus on enhancing robot perception and communication in complex environments. Dr. Khan’s most impactful contribution is his 2021 work on cross-corpus multi-lingual speech emotion recognition using ensemble learning (138 citations), which addresses the critical challenge of enabling robots to accurately interpret emotional cues across different languages and cultures—a fundamental step toward more natural human-robot interaction. His 2024 paper on mobile robot localization (111 citations) provides a comprehensive roadmap for overcoming current challenges in autonomous navigation, while his 2023 study on Digital-Twins-Based IoRT for remote health monitoring of COVID-19 patients (48 citations) demonstrates the practical application of his research in crisis response. With over 300 total citations to his name, Dr. Khan continues to push boundaries, most recently exploring drone-enhanced sensor fusion for 5G/B5G wireless networks, positioning himself as a leading voice in the next generation of intelligent, context-aware robotic systems.