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Nassim Sehad Profile

Nassim Sehad

Nassim Sehad

Biography

Nassim Sehad is a highly motivated and innovative research scientist and Ph.D. candidate in Electrical Engineering at Aalto University, Finland. With a strong background in UAV control, immersive 360 streaming, and IoT systems, his research focuses on the convergence of wireless communication, artificial intelligence, and human-computer interaction. He has contributed to several cutting-edge projects and EU-funded initiatives involving 5G/6G networks, XR-based UAV control, and the Internet of Senses.

Nassims interdisciplinary expertise spans real-time teleoperation, low-latency communication systems, and multi-sensory media experiences. His technical skills include Python, C++, Matlab, Docker, machine learning frameworks, and a variety of embedded and networking platforms. He has published in top-tier IEEE conferences and journals, including ICCCN, GLOBECOM, IEEE IoT Journal, and IEEE Communications Magazine.

Beyond academic contributions, he has won multiple hackathon awards across Europe, Asia, and Africa, and held research exchange positions at TII Abu Dhabi, the University of Utah, and NC State University. Passionate about next-generation human-centric technologies, Nassim is committed to designing immersive and intelligent communication platforms that advance user experience, remote interaction, and autonomous systems.

Research Interest

UAV control systems, immersive telepresence, 5G/6G networks, Internet of Senses, human-computer interaction, edge AI, VR/AR streaming, reinforcement learning, wireless resource orchestration, IoT, and XR-based systems.

Abstract

Novel Human Computer Interface towards the Internet of Senses The evolution of next-generation wireless networks has opened new frontiers for immersive communication, autonomous systems, and human-computer interaction. This research explores the integration of UAVs, XR technologies, and multi-sensory media within 5G and emerging 6G frameworks to enable ultra-reliable, low-latency teleoperation and intelligent control. By leveraging reinforcement learning, edge computing, and generative AI, this work develops novel systems for real-time UAV control, 360 video streaming, and tactile feedback experiences paving the way for the Internet of Senses. The research aims to enhance quality of experience (QoE) and control accuracy in mission-critical applications such as remote operations, smart environments, and immersive service management.