PeopleofSuperintelligence

Researcher

Haibo He

Also known as 何海波

Haibo He is an electrical engineering professor at the University of Rhode Island whose research on computational intelligence covers neural networks, reinforcement learning and data mining, and whose imbalanced-learning work includes the ADASYN sampling method. A Ph.D. in electrical engineering at Ohio University in 2006 was followed by ADASYN, coauthored in 2008, and the 2009 paper "Learning from Imbalanced Data". At the University of Rhode Island from 2010, he published the book Self-Adaptive Systems for Machine Intelligence in 2011 and was named the recipient of the IEEE Computational Intelligence Society's 2014 Outstanding Early Career Award in 2013. Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems from 2016 to 2021, he became an IEEE Fellow in 2017 and chaired his department from 2017 to 2023. At the University of Rhode Island, he is the Robert Haas Endowed Chair Professor in Electrical Engineering.

Timeline

  1. 1999–2006

    A doctorate at Ohio University

    Huazhong University of Science and Technology in Wuhan awards a B.S. in electrical engineering in 1999 and an M.S. in 2002. A Ph.D. in electrical engineering from Ohio University follows in 2006.

  2. 2008–2009

    ADASYN and imbalanced learning

    ADASYN, an adaptive synthetic sampling approach for imbalanced learning, comes out in 2008 with Yang Bai, Edwardo A. Garcia and Shutao Li as coauthors; the method generates more synthetic data for minority class examples that are harder to learn. The paper "Learning from Imbalanced Data," coauthored with Garcia, appears in IEEE Transactions on Knowledge and Data Engineering in 2009.

  3. 2010–2011

    Joining URI and a CAREER project

    Arriving at the University of Rhode Island in 2010, he develops expertise in designing algorithms, architectures and software that model brain-like intelligence. An NSF CAREER project on an integrated optimization and prediction framework for machine intelligence, based on adaptive dynamic programming, starts in April 2011. Self-Adaptive Systems for Machine Intelligence, his book from Wiley, appears in 2011 and applies self-adaptive intelligent systems to pattern recognition, classification, image recovery and sequence learning.

  4. 2013–2014

    IEEE CIS early career award

    The edited book Imbalanced Learning: Foundations, Algorithms, and Applications, with Y. Ma as co-editor, appears from Wiley-IEEE in 2013. In September 2013, the IEEE Computational Intelligence Society names him the recipient of its 2014 Outstanding Early Career Award. In 2014, the IEEE Symposium Series on Computational Intelligence in Orlando, Florida, has him as General Chair.

  5. 2016–2021

    Editor-in-Chief of TNNLS

    IEEE Transactions on Neural Networks and Learning Systems has him as Editor-in-Chief from 2016 to 2021.

  6. 2017–2023

    IEEE Fellow and department chair

    IEEE Fellow status arrives in 2017 for contributions to adaptive learning, in recognition of research on adaptive intelligent systems and their applications to cyber-physical systems such as smart grid, smart city, human-robot interaction and cyber security. URI's Department of Electrical, Computer and Biomedical Engineering has him as chair from July 2017 to June 2023.

  7. 2021–2024

    Society boards and an ICML paper

    Service on the IEEE Computational Intelligence Society's ADCOM runs from 2021 to 2023, and a seat as Governor-at-Large on the Board of Governors of the International Neural Network Society (INNS) runs from 2022 to 2024. The 2022 paper "An Analytical Update Rule for General Policy Optimization," coauthored with Hepeng Li and Nicholas Clavette for ICML 2022, derives a policy update rule from a closed-form solution to trust-region optimization.

  8. As of October 2026

    Robert Haas Endowed Chair Professor

    He is the Robert Haas Endowed Chair Professor in Electrical Engineering in the University of Rhode Island's Department of Electrical, Computer and Biomedical Engineering. Computational intelligence is his main research interest, with a particular focus on neural networks, reinforcement learning and data mining.

Career

  1. Since 2017University of Rhode IslandRobert Haas Endowed Chair Professor in Electrical Engineering

Education

  1. 2006Ohio UniversityPh.D. in electrical engineering
  2. 2002Huazhong University of Science and TechnologyM.S.
  3. 1999Huazhong University of Science and TechnologyB.S. in electrical engineering

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Huazhong University of Science and Technology. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Huazhong University of Science and Technology. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Huazhong University of Science and Technology. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Haibo He yet. Send us a free-licensed photo.

  1. Haibo He – Department of Electrical and Computer Engineering web.uri.edu. Checked 21 October 2026.
  2. Oversampling and undersampling in data analysis - Wikipedia en.wikipedia.org. Checked 21 October 2026.
  3. SGOers精彩纷呈之何海波：计算智能的推动者 sgo.hust.edu.cn. Checked 21 October 2026.
  4. Honors and Distinctions – College of Engineering web.uri.edu. Checked 21 October 2026.
  5. "Self-Adaptive Systems for Machine Intelligence" by Haibo He digitalcommons.uri.edu. Checked 21 October 2026.
  6. Brief Bio – Computational Intelligence and Self-Adaptive Systems web.uri.edu. Checked 21 October 2026.
  7. BoG 2023 Haibo He inns.org. Checked 21 October 2026.
  8. URI engineering professor honored by national engineering group – Rhody Today uri.edu. Checked 21 October 2026.
  9. An Analytical Update Rule for General Policy Optimization proceedings.mlr.press. Checked 21 October 2026.