Jun Luo

Jun Luo is an Associate Professor in the School of Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. He earned his PhD in Computer Science from EPFL under the supervision of Prof. Jean-Pierre Hubaux and completed postdoctoral research at the University of Waterloo. He joined NTU in 2008 as an Assistant Professor and was promoted to Associate Professor in 2014. He served as Deputy Director of the Centre for Multimedia and Network Technology from 2010 to 2013.

Education:

• PhD in Computer Science, Swiss Federal Institute of Technology in Lausanne (EPFL), 2006
• MS in Electrical Engineering, Tsinghua University, 2000
• BS in Electrical Engineering, Tsinghua University, 1997

Research Interests:
Jun Luo's research focuses on mobile and pervasive computing, wireless networking, machine learning, and applied operations research. His primary research thrusts include:

• Contact-free Sensing Driven by Deep Learning: Leveraging RF, acoustic, and visible light signals for human activity recognition, respiration monitoring, and localization without wearable devices.
• Visible Light Communication and Sensing: Exploring LED-camera systems for data transmission, occupancy inference, and indoor broadcasting.
• Indoor and Outdoor Localization and Tracking: Developing systems using WiFi, geomagnetism, and crowdsourced data for precise positioning.
• Machine Learning for Mobile Networking: Applying deep learning and optimization to improve wireless network performance, mobile crowdsensing, and resource allocation.

Publication Trends:
His recent publications (2021–2023) demonstrate a strong focus on deep learning-enhanced sensing using RF and acoustic signals, particularly for health monitoring (e.g., respiration, heartbeat), multi-person tracking, and privacy-preserving techniques. He frequently collaborates with researchers in signal processing, computer vision, and networking, publishing in top venues like IEEE Transactions on Mobile Computing, MobiCom, and INFOCOM. His work emphasizes practical deployment on commodity devices and integration of sensing with communication systems.

Scientific Recognition:

• IEEE Fellow

Advising and Grants:
Dr. Luo has advised numerous PhD and Master's students, as evidenced by the extensive list of student co-authors across his publications. He has led significant research projects in wireless sensor networks, mobile computing, and IoT systems, likely supported by competitive grants from Singaporean and international funding agencies. His role as Deputy Director of a research center indicates leadership in managing research teams and collaborative efforts.

Labs and Teams:
He leads a research group focused on mobile and distributed computing, deep learning, and computer vision. His team actively publishes in top-tier conferences and journals, working on projects involving RF sensing, acoustic platforms, visible light communication, and privacy-aware systems. The group collaborates with researchers both within NTU and internationally, particularly in Canada and China.