Xiaofan (Fred) Jiang


1008 Northwest Corner Building
Mail Code 4712

Tel(212) 853-0687
Fax(212) 932-9421

Research Interests

Cyber physical systems, wireless and embedded systems, Internet of Things, physical data analytics, smart and sustainable buildings, mobile and wearable systems, connected health.

Jiang’s interest lies in the intersection of cyber-physical systems and data analytics. In the pedestrian safety project, Jiang’s team is developing an intelligent wearable system that uses miniature microphones embedded in earphones or headsets, together with novel machine-learning classifiers, to detect and locate approaching vehicles and warn the wearer of imminent dangers from cars, buses, motorbikes, trucks, and trams. This research will help reduce pedestrian injuries and fatalities, and expand knowledge on designing wearable systems for enhancing safety in cities, workplaces, and the home.

In the sustainability space, Jiang’s team is creating a city-scale system to track each person’s unique, individual energy usage. This personal “energy footprint” is updated in real-time to reflect the user’s movements and actions. This knowledge will enable people to understand the energy implications and tradeoffs of their everyday choices. In addition, users’ energy footprints data are collected and analyzed to provide actionable suggestions to reduce energy from a global perspective. This system comprises several components across the hardware-software stack, including energy-efficient wearable devices, real-time sensing and actuating, building energy monitoring, indoor localization, lqwarge-scale time-series data analytics, and behavior-driven energy economics. It will fundamentally change how people live their everyday lives and point towards a more environmentally responsible and sustainable future.

In 2008, Jiang led one of the earliest projects on IP-based smart-buildings, bringing about the first IPv6/6LowPAN-based smart-plug meter, web-service based HVAC and lighting monitoring, uniform data schema for physical sensor data, and fine-grain real-time energy analytics, paving the way for an information revolution in the building industry. His magnetic-based indoor localization system has an accuracy and consistency that is significantly better than the state of art. His air quality monitoring system is now a product deployed at scale in Beijing. His recent work on low-power wearable systems demonstrated the potential of connected wearables for health, fitness, and urban safety.

Jiang received his B.Sc. (2004) and M.Sc. (2007) in Electrical Engineering and Computer Science, and his Ph.D. (2010) in Computer Science, all from UC Berkeley. Before joining SEAS, he was Senior Staff Researcher and Director of Analytics and IoT Research at Intel Labs China. 


  • Assistant Professor of Electrical Engineering and Computer Engineering, Columbia University, 2015-Present
  • Co-Chair of Smart Cities Center, Data Science Institute, Columbia University, 2016-Present
  • Steering Committee Chair, ACM BuildSys, 2017-Present
  • CTO, Air Scientific Inc., 2014-2015
  • Director of Analytics and IoT Research, Intel Labs China, 2012-2014
  • Researcher, Microsoft Research Asia, 2010-2012
  • Engineer, Intel, 2005-2005


  • Association for Computing Machinery (ACM)
  • Institute of Electrical and Electronics Engineers (IEEE)


  • 2004 Vodafone-US Foundation Fellows Initiative Scholarship
  • 2005 Best Paper Award, ACM/IEEE IPSN ’05
  • 2006 National Science Foundation (NSF) Graduate Fellowship
  • 2011 Best Demo Award, ACM SenSys ’11
  • 2016 Best Demo – Runner Up, ACM SenSys ’16
  • 2016 Best Poster Award, ACM BuildSys ’16  


  • Agency: NSF
    Title: Improving Pedestrian Safety in Urban Cities using Intelligent
    Wearable Systems

    PI Status: Lead PI
    Total funding: 1.2M


  • Wei, P., Chen, X., Chandrasekaran, R., Song, F. and Jiang, X., 2016, November. Adaptive and Personalized Energy Saving Suggestions for Occupants in Smart Buildings: Poster Abstract. In Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments (pp. 247-248). ACM. [Best Poster Award]
  • Chandrasekaran, R., de Godoy, D., Xia, S., Islam, M.T., Islam, B., Nirjon, S., Kinget, P. and Jiang, X., 2016, November. SEUS: A Wearable Multi-Channel Acoustic Headset Platform to Improve Pedestrian Safety: Demo Abstract. In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM (pp. 330-331). ACM. [Best Demo – Runner Up]
  • Cheng, Y., Li, X., Li, Z., Jiang, S., Li, Y., Jia, J. and Jiang, X., 2014, November. AirCloud: a cloud-based air-quality monitoring system for everyone. In Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems (pp. 251-265). ACM.
  • Nirjon, S., Dickerson, R.F., Li, Q., Asare, P., Stankovic, J.A., Hong, D., Zhang, B., Jiang, X., Shen, G. and Zhao, F., 2012, November. Musicalheart: A hearty way of listening to music. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (pp. 43-56). ACM.
  • Jiang, X., Liang, C.J.M., Chen, K., Zhang, B., Hsu, J., Liu, J., Cao, B. and Zhao, F., 2012, April. Design and evaluation of a wireless magnetic-based proximity detection platform for indoor applications. In Proceedings of the 11th international conference on Information Processing in Sensor Networks (pp. 221-232). ACM. [Best Demo Award]
  • Jiang, X., Van Ly, M., Taneja, J., Dutta, P. and Culler, D., 2009, November. Experiences with a high-fidelity wireless building energy auditing network. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems (pp. 113-126). ACM. [Citations: 180]
  • Jiang, X., Dutta, P., Culler, D. and Stoica, I., 2007, April. Micro power meter for energy monitoring of wireless sensor networks at scale. In Proceedings of the 6th international conference on Information processing in sensor networks (pp. 186-195). ACM. [Citations: 169]
  • Jiang, X., Polastre, J. and Culler, D., 2005, April. Perpetual environmentally powered sensor networks. In Proceedings of the 4th international symposium on Information processing in sensor networks (p. 65). IEEE Press. [Citations: 758], [Best Paper Award]
  • Jiang, X., Dawson-Haggerty, S., Dutta, P. and Culler, D., 2009, April. Design and implementation of a high-fidelity ac metering network. In Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on (pp. 253-264). IEEE. [Citations: 306]
  • Dawson-Haggerty, S., Jiang, X., Tolle, G., Ortiz, J. and Culler, D., 2010, November. sMAP: a simple measurement and actuation profile for physical information. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (pp. 197-210). ACM. [Citations: 178]