COM2-03-32
651 65763

https://wangwireless.com

WANG Jingxian

Assistant Professor

  • PhD, Carnegie Mellon University
  • MS, Carnegie Mellon University

I currently serve as an Assistant Professor in the CS Department at the National University of Singapore, where I founded the AIoT Group, which stands for "AI for IoT." Our primary focus is on integrating multimodal AI capabilities with wirelessly networked devices, ranging from WiFi to satellites. Before joining NUS, I was a research scientist at Microsoft Research in Redmond. There, I led the ambitious Smart Surface for 6G and Space initiative. I received my Ph.D. and M.S. from Carnegie Mellon University. At the NUS AIoT Group, our mission is to engineer end-to-end system solutions. We emphasise the creation of AI-augmented, large-scale wireless and mobile systems. Our work covers everything from developing sustainable sensing methods for data capture and bolstering robust wireless communication networks, all the way to innovating multimodal AI techniques for rich data insights. An interdisciplinary ethos is intrinsic to my work, bridging domains like robotics, materials science, AI, and wireless systems. My group's recent work on Multimodal AI has been selected for Microsoft's Accelerate Foundation Models Research Program. This is in addition to receiving the best paper at UbiComp 2020, the best paper at IPSN 2021, the best demo candidate at UbiComp 2018, and multiple research highlights in SIGMOBILE and Communications of ACM. I am a recipient of the Microsoft Research Fellowship 2020 and the ACM SIGMOBILE Dissertation Award.

RESEARCH AREAS

Artificial Intelligence
  • Machine Learning
Systems & Networking
  • Internet of Things
  • Mobile Computing & Sensing
Media
  • Human-Computer Interaction
  • Ubiquitous Computing

RESEARCH INTERESTS

  • Multimodal AI (supported by Microsoft's Accelerate Foundation Models Research)

  • Systems for Satellites and Next-Gen Wireless

  • Robotics and Materials

RESEARCH PROJECTS

Multimodal AI for IoT

This project is partially funded by Microsoft's Accelerate Foundation Models Research Program.


Satellite IoT Networks


RESEARCH GROUPS


TEACHING INNOVATIONS

SELECTED PUBLICATIONS

AWARDS & HONOURS

  • SIGMOBILE Dissertation Award

  • Communications of the ACM Research Highlights 2022

  • SIGMOBILE Research Highlights 2021

  • Communications of the ACM Research Highlights 2021

  • Best Paper Award, ACM/IEEE IPSN 2021

  • Best Wearables Long Paper Award, ACM UbiComp 2020

  • Microsoft Research Fellowship 2020

  • Best Demo Honorable Mention, ACM UbiComp 2018

MODULES TAUGHT