The Tactile Internet will be the next evolution of the IoT, enabling human-to-machine and machine-to-machine interaction efficently than ever before. We are advancing the field of Tactile Internet, which enables real-time, ultra-reliable, and low-latency communication for haptic interactions. Our research integrates AI-driven optimization techniques and edge computing to ensure seamless control and feedback for applications such as remote surgery, autonomous systems, and industrial automation. We explore the use of 5G/6G technologies to enhance the reliability and responsiveness of tactile data transmission. By addressing challenges like latency, jitter, and network congestion, we aim to make Tactile Internet a transformative technology for critical applications requiring instantaneous human-to-machine and machine-to-machine interactions.
Publications:
- S. Karobi, S. Ahmed, S. Sabuj, and A. Khokhar, “EcoEdgeTwin: Driving 6G With AI-Enhanced Edge Integration and Sustainable Digital Twins”, Digital Twins and Applications 2 (1), e70000
- S. Ahmed and A. E. Kamal, “RIS Panel-assisted Enhanced Edge Computing for Batteryless IoT Sensors,” ICC 2022 – IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022, pp. 5676-5681
- M. Lashari, S. Ahmed, W. Batayneh, and A. Khokhar, “A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model” arXiv preprint arXiv:2501.16485, 2025 (submitted to IEEE Transactions on Cybernetics)
- M. Lashari, W. Batayneh, S. Ahmed, and A. Khokhar. “Enhanced Position Estimation in Tactile Internet-Enabled Remote Robotic Surgery Using MOESP-Based Kalman Filter,” arXiv preprint arXiv:2501.16485, 2025 (submitted to 2024 IEEE Transactions on Medical Robotics and Bionics)
- M. Lashari, S. Ahmed, W. Batayneh, and A. Khokhar “Predictive Position Estimation for Remote Surgery under Packet Loss Using the Informer Framework” 2025 IEEE International Conference on Communications (ICC) Workshop