Portrait of Prof. Xiaofan (Fred) Jiang  

Xiaofan (Fred) Jiang

ASSOCIATE PROFESSOR OF ELECTRICAL ENGINEERING; AFFILIATE IN THE DEPARTMENT OF COMPUTER SCIENCE; CHAIR OF THE SMART CITIES CENTER AT THE DATA SCIENCE INSTITUTE

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 research lies at the intersection of systems and data, with a focus on intelligent embedded systems and their applications in mobile and wearable computing, intelligent built environments, Internet of Things, and connected health.

In the urban safety space, 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. 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, building-scale digital twins, recommender systems, and behavior-driven energy economics. It will fundamentally change how people live their everyday lives towards a more environmentally responsible and sustainable future.

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 has been deployed at scale in major metropolitan cities.

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. His research has been published in top venues with over four thousand citations and featured in many popular media outlets, including The Economist, New York Post, Mashable, Gizmodo, The Telegraph, and Fast Company. He is recipient of an NSF Graduate Fellowship, a Vodafone-US Foundation Fellowship, and an NSF CAREER Award.

PROFESSIONAL EXPERIENCE

  • Associate Professor of Electrical Engineering, Columbia University, 2020-Present
  • Assistant Professor of Electrical Engineering, Columbia University, 2015-2020
  • Co-Chair of Smart Cities Center, Data Science Institute, Columbia University, 2016-Present
  • Steering Committee Chair, ACM BuildSys, 2017-2018
  • 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

PROFESSIONAL AFFILIATIONS

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

HONORS & AWARDS

  • 2004 Vodafone-US Foundation Fellows Initiative Scholarship
  • 2005 Best Paper Award, ACM/IEEE IPSN ’05
  • 2006 NSF Graduate Fellowship
  • 2011 Best Demo Award, ACM SenSys ’11
  • 2016 Best Demo Runner Up Award, ACM SenSys ’16
  • 2016 Best Poster Award, ACM BuildSys ’16
  • 2017 MIT Technology Review 35 Under 35 Semi-Finalist
  • 2017 Best Paper Runner Up Award, ACM BuildSys ’17
  • 2018 Best Demo Award, ACM/IEEE IoTDI ’18
  • 2018 App Contest 2nd Place and Best Presentation Award, IEEE VNC ’18
  • 2019 Best Paper Runner Up Award, ACM BuildSys ‘19
  • 2020 Best Paper Candidate Award, ACM/IEEE IoTDI ‘20
  • 2020 Best Demo Award, ACM/IEEE IPSN ‘20
  • 2020 NSF CAREER Award

GRANT SUPPORT

  • Agency: NSF
    Title: Improving Pedestrian Safety in Urban Cities using Intelligent Wearable Systems
    PI Status: PI
    Funding: $1.2M
  • Agency: NSF
    Title: Overheard at Home - Mitigating Over-hearing of Continuous Listening Devices
    PI Status: PI
    Funding: $250K
  • Agency: Industry Sponsored Research
    Title: Smart Cities Research at Columbia Intelligent and Connected Systems
    PI Status: PI
    Funding: $150K
  • Agency: Industry Sponsored Research
    Title: Bidirectional Modular DC Vehicle Charger
    PI Status: Senior Personnel
    Funding: $180K
  • Agency: NSF
    Title: Building Information, Inhabitant, Interaction and Intelligent Integrated Modeling (BI5M)
    PI Status: Co-PI
    Funding: $240K
  • Agency: NSF
    Title: CAREER: A Scalable Occupant-Driven Energy Optimization System for Commercial Buildings
    PI Status: PI
    Funding: $500K

SELECTED PUBLICATIONS

A complete updated list is available at: http://icsl.ee.columbia.edu/publications/

  • Wei, P., Xia, S., Chen, R., Qian, J., Li, C. and Jiang, X., 2020. A Deep Reinforcement Learning Based Recommender System for Occupant-Driven Energy Optimization in Commercial Buildings. IEEE Internet of Things Journal.
  • Nie, J., Hu, Y., Wang, Y., Xia, S. and Jiang, X., 2020, April. SPIDERS: Low-Cost Wireless Glasses for Continuous In-Situ Bio-Signal Acquisition and Emotion Recognition. In 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI) (pp. 27-39). IEEE.
  • Hu, Y., Nie, J., Wang, Y., Xia, S. and Jiang, X., 2020, April. Demo Abstract: Wireless Glasses for Non-contact Facial Expression Monitoring. In 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 367-368). IEEE. [Best Demo Award]
  • Wei, P. and Jiang, X., 2019, November. Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting. In Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (pp. 267-276). [Best Paper Runner Up]
  • Xia, S., de Godoy Peixoto, D., Islam, B., Islam, M.T., Nirjon, S., Kinget, P.R. and Jiang, X., 2019. Improving pedestrian safety in cities using intelligent wearable systems. IEEE Internet of Things Journal, 6(5), pp.7497-7514.
  • Wei, P., Chen, X., Vega, J., Xia, S., Chandrasekaran, R. and Jiang, X., 2018. A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings. ACM Transactions on Sensor Networks (TOSN), 14(3-4), pp.1-25.
  • de Godoy, D., Xia, S., Fernandez, W., Jiang, X. and Kinget, P.R., 2018, April. Demo Abstract: An Ultra-Low-Power Custom Integrated Circuit Based Sound-Source Localization System. In International Conference on Internet-of-Things Design and Implementation. [Best Demo Award]
  • Wei, P., Chen, X., Vega, J., Xia, S., Chandrasekaran, R. and Jiang, X., 2017, November. ePrints: a real-time and scalable system for fair apportionment and tracking of personal energy footprints in commercial buildings. In Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments (pp. 1-10). [Best Paper Runner Up Award]
  • 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.
  • 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.
  • 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.
  • 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.