معرفی
Jingxian Wang is an NUS Presidential Young Professor and Assistant Professor in the Department of Computer Science at the National University of Singapore's Faculty of Computing. His research builds next-generation wireless systems and satellite networks, with primary focus on integrating AI with wirelessly networked devices from WiFi to satellites.
He earned his PhD from Carnegie Mellon University and previously served as a research scientist at Microsoft Research in Redmond, where he led the Smart Surface for 6G and Space initiative. His educational journey includes:
- PhD, Carnegie Mellon University
Wang's research spans Wireless Systems, Satellite Networks, Artificial Intelligence, and Internet of Things, emphasizing AI-augmented wireless systems. His interdisciplinary work bridges robotics, materials science, and AI to develop sustainable sensing methods, robust communication networks, and multimodal AI techniques. Key projects include Multimodal AI for IoT (funded by Microsoft's Accelerate Foundation Models Program) and Satellite IoT Networks.
His publication trends reveal accelerating integration of AI into wireless systems, with recent focus on satellite networking, soft robotics actuation, and generative models for IoT. The research consistently targets real-world deployment challenges in battery-free systems and space networks.
His scientific contributions have earned prestigious recognition:
- ACM SIGMOBILE Doctoral Dissertation Award 2023
- Communications of the ACM Research Highlights (2021, 2022)
- ACM SIGMOBILE Research Highlights 2021
- Best Paper Awards at IPSN 2021 and UbiComp 2020
- Microsoft Research Fellowship 2020
- Emerging Rockstar in IEEE Pervasive Computing 2024
Wang actively mentors doctoral students and postdoctoral researchers through his AIoT Group. His grant portfolio includes Microsoft's Accelerate Foundation Models Research Program funding for multimodal AI projects, with ongoing work targeting satellite IoT infrastructure and wireless-powered soft robotics. Future directions emphasize foundation models for space networks and battery-free IoT systems.
He leads the AIoT Group, fostering cross-disciplinary collaboration between computer scientists, roboticists, and materials engineers to pioneer wireless sensing and actuation technologies.
