Photo courtesy: CISA Lab
* New: RA available in 2018* [Click
2018-02-12: Haibo Co-organizes the NSF workshop on Real-time Learning and Decision Making in Dynamical Systems. [Link]
Haibo and Bo Tang receives the IEEE 8th IEEE Annual Computing and
Communication Workshop and Conference (IEEE CCWC'18) Best Paper Award.
2017-12-01: Haibo was elected to be an IEEE Fellow. [Link]
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
2017-07-27: Paper entitld "Damping 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.
2017-05-05: 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".
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.
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
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.
Paper entitled "SMES Based Damping Controller Design Using Fuzzy-GrHDP
Considering Transmission Delay" has been accepted by IEEE Trans.
on Applied Superconductivity.
entitled "EEF: Exponentially Embedded Families with Class-Specific
Features for Classification" has been accepted by IEEE Signal
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."
[More news >>>]
[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 that 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 >>>].
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
robust, secure, and reliable future smart grid systems.
[Read more >>>].
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]
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.