Raymond Fu

Associate Professor: Interdisciplinary with College of Engineering

Current Research Projects

  • Deep Structures Boosted Self-Organized Behavior Pattern Learning for Anomaly Detection, Office of Naval Research (ONR), Young Investigator Program
  • Intention Sensing through Video-based Imminent Activity Prediction, Army Research Office (ARO), Young Investigator Program
  • Pinpoint Geolocation using Multi-Source Multi-Dimensional Big Data from Social Media, Naval Postgraduate School (NPS)
  • CPS:Medium:Quantitative Visual Sensing of Dynamic Behaviors for Home-based Progressive Rehabilitation, National Science Foundation (NSF)

Research Interests

  • Interdisciplinary research in Machine Learning and Computational Intelligence
  • Social Media Analytics
  • Human-Computer Interaction
  • Cyber-Physical Systems


  • BEng in Information Engineering | Xi’an Jiaotong University, China
  • MEng in Pattern Recognition & Intelligence Systems | Xi’an Jiaotong University, China
  • MS in Statistics | University of Illinois at Urbana-Champaign
  • PhD in Electrical & Computer Engineering | University of Illinois at Urbana-Champaign

Google Scholar Page


Dr. Fu is an interdisciplinary faculty member affiliated with College of Engineering and the College of Computer and Information Science at Northeastern University. He received the B.Eng. degree in information engineering and the M.Eng. degree in pattern recognition and intelligence systems from Xi’an Jiaotong University, China, respectively, and the M.S. degree in statistics and the Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign, respectively. Prior to joining the Northeastern faculty, he was a Scientist working at BBN Technologies, Cambridge, MA, during 2008-2010. He holds a Part-Time Lecturer position in the Department of Computer Science, Tufts University, Medford, MA, in 2009. He was a tenure-track Assistant Professor of the Department of Computer Science and Engineering, State University of New York, Buffalo, during 2010-2012.

Dr. Fu’s research interests are Interdisciplinary research in Machine Learning and Computational Intelligence, Social Media Analytics, Human-Computer Interaction, and Cyber-Physical Systems. He has extensive publications in leading journals, books/book chapters and international conferences/workshops. He serves as associate editor, chairs, PC member and reviewer of many top journals and international conferences/workshops. Dr. Fu is the recipient of 5 best paper awards (SIAM SDM 2014, IEEE FG 2013, IEEE ICDM -LSVA 2011, IAPR ICFHR 2010, IEEE ICIP 2007), 4 young investigator awards (2014 ONR Young Investigator Award, 2014 ARO Young Investigator Award, 2014 INNS Young Investigator Award, 2016 IEEE CIS Outstanding Early Career Award), the 2015 National Academy of Engineering US Frontiers of Engineering, 2 service awards (2012 IEEE TCSVT Best Associate Editor, 2011 IEEE ICME Best Reviewer), the 2011 IC Postdoctoral Research Fellowship Award, the 2010 Google Faculty Research Award, the 2008 M. E. Van Valkenburg Graduate Research Award, the 2007-2008 Beckman Graduate Fellowship, 2007 Chinese Government Award for Outstanding Self-Financed Students Abroad, the 2003 Hewlett-Packard Silver Medal and Science Scholarship, Edison Cups of the 2002 GE Fund Edison Cup Technology Innovation Competition, and the 2002 Rockwell Automation Master of Science Award. He is currently an Associate Editor of the IEEE Transactions on Neural Networks and Leaning Systems (TNNLS), and IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). His research is broadly supported by NSF, DOD, DARPA, IARPA, ONR, AFOSR, ARL/ARO, NGA, IC, Samsung and Google. He is a Senior Member of IEEE, Lifetime Member of ACM, AAAI, SPIE, and Institute of Mathematical Statistics, member of INNS and Beckman Graduate Fellow during 2007-2008.

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