Haibo He, Ph.D., P.E.    
                             
 Department Chair
 Robert Haas Endowed Chair Professor

 
Editor-in-Chief
 IEEE Trans. on Neural Networks and Learning Systems

 Director
 Computational Intelligence and Self-Adaptive Systems Laboratory



Contact:


Department of Electrical, Computer, and Biomedical Engineering

Pastore 126, 51 Lower College Road
University of Rhode Island
Kingston, RI 02881
Tel:   (401) 874-5844; Fax:  (401) 782-6422        
Email: he@ele.uri.edu


Welcome to the Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory!


  • Senior Design Project Day
  • Chairing ISNN 2009
  • ICNSC 2010 in Chicago
  • IEEE CIS 2014 Workshop at URI
  • IEEE CIS Outstanding Career Award2014
  • ISNN Conference
  • Faculty vs Grads 2015 annual game
  • PBN Award Ceremony
  • Award Ceremony in NYC
  • Christmas Party 2014
  • In Preparation for PhD Qualify Exam
  • wowslideshow
  • Zhen Ni Recevies Prestigous Chinese Government Award
Senior Design Project Day1 Chairing ISNN 20092 ICNSC 2010 in Chicago3 IEEE CIS 2014 Workshop at URI4 IEEE CIS Outstanding Career Award20145 ISNN Conference6 Faculty vs Grads 2015 annual game7 PBN Award Ceremony8 Award Ceremony in NYC9 Christmas Party 201410 In Preparation for PhD Qualify Exam11 Students in Chat - Thanksgiving Party12 Zhen Ni Recevies Prestigous Chinese Government Award13
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Photo courtesy: CISA Lab  

CISA News


  * New: RA available in 2018* [Click here...] 
  • 2017-08-10: Haibo receives NSF grant to develop new neuromorphic computing and machine learning approaches for spectrum and energy-efficient wireless networks.

  • 2017-08-01: A reunion of the CISA alumni in Anchorage, Alaska: "From 5 Students to 5 Assistant Professors" [Picture: left to right: Bo Tang (Mississippi State University), Jun Yan (Concordia University), (^_^), Xiangnan Zhong (University of North Texas), Zhen Ni (South Dakota State University), Yufei Tang (Florida Atlantic University)].

  • 2017-07-27:  Paper entitled "Dampling Control Design for Pulse Width Modulation Series Compensator Using GrHDP" won the First Place in the 2017 IEEE PESGM Graduate Student Category Poster Competition!

  • 2017-06-09: Media report: "How to Better Harness the Power of the Wind" [Link].

  • 2017-05-29:  Haibo delivers a Keynote Talk at the 29th Chinese Control and Decision Conference (CCDC'17) in Chongqing, China.

  • 2017-05-10:  Congratulations to Jun Yan for accepting a tenure-track Assistant Professor position at the Concordia University, Montreal, Canada.

  • 2017-05-08:  Congratulations to Xiangnan Zhong for accepting a tenure-track Assistant Professor position at the University of North Texas, Denton, TX.

  • 2017-05-05:  Congratulations to Jun Yan for successfully defending her Ph.D. dissertation!

  • 2017-04-24:  Congratulations to Xiangnan Zhong for successfully defending her Ph.D. dissertation!

  • 2017-02-01:  Congratulations to Bo Tang for receiving the 2016 "Chinese Government Award for Outstanding Student Abroad".

  • 2016-11-12: Haibo delivers a Keynote Talk on "Learning-based Control: Opportunities and Challenges" at the 31st Youth Academic Annual Conference of Chinese Association of Automation in Wuhan, China.

  • 2016-10-30: Haibo delivers a Keynote Talk on "Adaptive Learning and Optimization for Machine Intelligence" at the 11th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA'2016), in Xian, China.

  • 2016-07-29: Haibo delivers a Plenary Talk on "Adaptive Learning and Optimization for Machine Intelligence: From the Foundations to Complex Systems" at the IEEE WCCI-IJCNN 2016 in Vancouver, Canada.

  • 2016-06-01: Congratulations to Bo Tang for accepting a Tenure-Track Assistant Professor position at the Department of Computer Science at Hofstra University, Hempstead, NY.

  • 2016-06-01: Congratulations to Yufei Tang for accepting a Tenure-Track Assistant Professor position at the ECE Department at the Florida Atlantic University, FL.

  • 2016-05-25: Paper entitled "SMES Based Damping Controller Design Using Fuzzy-GrHDP Considering Transmission Delay"  has been accepted by IEEE Trans. on Applied Superconductivity.

  • 2016-05-17: Paper entitled "EEF: Exponentially Embedded Families with Class-Specific Features for Classification" has been accepted by IEEE Signal Processing Letters.

  • 2016-05-15: URI Research and Innovation Magazine: Human Robot Interaction. [Link]

  • 2016-05-12: Congratulations to Yufei for finishing his Ph.D. dissertation defense entitled "A Computational Intelligence Framework for Smart Grid."

  • 2016-05-12: URI News: "URI doctoral student in engineering receives award from Chinese government." [Link]

  • 2016-05-10: Congratulations to Bo for finishing his Ph.D. dissertation defense entitled "Toward Intelligent Cyber-Physical Systems: Algorithms, Architectures, and Applications."


    [More news >>>]


    Media Highlight:


    [PBN "Rising Star Innovator" Award and Interview]: FORWARD THINKING: Haibo He, a researcher at the University of Rhode Island, College of Engineering, is leading a team that specializes in artificial intelligence and machine learning attempt to have computers mimic the human brain. This interview highlights some of Haibo and his group's research on computational intelligence, adaptive systems, and their applications. [Read more >>>].


    Research Highlight:


    [Smart Grid]: Growing energy demands and environmental concerns have significantly increased the interest of smart grid. The CISA group has been focused on several critical aspects of smart grid research, including: intelligent power grid control and optimization, renewable energy, and smart grid security (both cyber security and physical failures of the grid). This research will contribute to developing intelligent, robust, secure, and reliable future smart grid systems. [Read more >>>].


    Publication Highlight:


    H. He and E. A. Garcia, "Learning from Imbalanced Data," IEEE Trans. Knowledge and Data Engineering, vol. 21, issue 9, pp. 1263-1284, 2009 [pdf].  [The Most-Cited paper in the IEEE TKDE since 2009 to date]

     

    [Big Data]: With the continuous expansion of data availability in many complex systems, it becomes critical to advance the fundamental research of intelligent data analysis. This Survey Paper provides a comprehensive and critical review of Imbalanced Learning, including the foundation and nature of the problem, state-of-the-art techniques, assessment metrics, as well as future research opportunities and directions on Imbalanced Learning. [Read more >>>].


    We gratefully acknowledge the support from: