Faculty-Xiaofan_Jiang-Faculty-300x300

Xiaofan (Fred) Jiang

Associate Professor of Electrical Engineering

Xiaofan (Fred) Jiang is an associate professor in the Electrical Engineering department at Columbia University and co-Chair of the Smart Cities Center at the Data Science Institute. Jiang received his PhD in Computer Science from UC Berkeley in 2010.

His 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, the Internet of Things, cyber-physical human systems, and connected health.

His research has been published in top-tier venues and has received numerous awards, including Best Paper Awards at MobiSys '24, BuildSys '23, ITEC '21, IPSN ’05 and Best Demo Awards at IPSN '23, SenSys '21, IPSN '20, IoTDI '18 and SenSys ’11. He has served on technical and organizing committees of leading conferences in the field, including TPC Chair of BuildSys ’14, TPC Chair of e-Energy '23, General Chair of SenSys ’19, General Chair of BuildSys '21, and General Chair of IPSN '23. Currently, he is the Vice Chair of ACM SIGEnergy, founding area editor of ACM Energy Informatics Review, and associate editor for ACM HEALTH, ACM TOSN, and ACM TIOT journals.

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

Research Areas

  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Vision and Robotics
  • Augmented Reality (AR) and Virtual Reality (VR)
  • Edge Computing
  • Human-Computer Interaction (HCI)
  • Networked and Distributed Systems
  • Robotics and Autonomous Systems
  • Wireless, Embedded, and Sensor Systems
  • Computer Systems and Computer Engineering
  • Smart Electric Energy (Smart Grids)
  • Energy Efficiency and Conservation Technology
  • Wearable Electronics (Technology)

Additional Information

  • Professional Experience
    • Associate Professor of Electrical Engineering, Columbia University, 2020-Present
    • Vice Chair of SIGEnergy, Association for Computing Machinery, 2023-Present
    • Assistant Professor of Electrical Engineering, Columbia University, 2015-2020
    • Co-Chair of Smart Cities Center, Data Science Institute, Columbia University, 2016-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
  • Professional Affiliations
    • Association for Computing Machinery (ACM)
    • Institute of Electrical and Electronics Engineers (IEEE)
  • Honors & Awards
    • Best Paper Award, ACM MobiSys, 2024
    • Best Paper Award, ACM BuildSys, 2023
    • Best Demo Award, ACM/IEEE IPSN, 2023
    • Best Demo Runner-Up Award, ACM SenSys, 2022
    • Best Poster Candidate, ACM BuildSys, 2022
    • Best Demo Award, ACM SenSys, 2021
    • Best Paper Award, IEEE ITEC, 2021
    • Best Demo Award, ACM/IEEE IPSN, 2020
    • Best Paper Candidate, ACM/IEEE IoTDI, 2020
    • CAREER Award, National Science Foundation, 2020
    • Best Paper Runner Up Award, ACM BuildSys, 2019
    • Best Demo Award, ACM/IEEE IoTDI, 2018
    • Best Presentation Award, IEEE VNC, 2018
    • 2nd Place, App Contest, IEEE VNC, 2018
    • 35 Innovators Under 35 Semi-Finalist, MIT Technology Review, 2017
    • Best Paper Runner Up Award, ACM BuildSys, 2017
    • Best Poster Award, ACM BuildSys, 2016
    • Best Demo Runner Up, ACM SenSys, 2016
    • Best Demo Award, ACM SenSys, 2011
    • National Science Foundation Graduate Fellowship, 2006
    • Best Paper Award, IEEE IPSN, 2005
  • Education
    • PhD, Computer Science, University of California, Berkeley
    • MS, Electrical Engineering and Computer Science, University of California, Berkeley
    • BS, Electrical Engineering and Computer Science, University of California, Berkeley