黑料正能量

黑料正能量

Bin He

Trustee Professor of Biomedical Engineering
Professor of Neuroscience Institute
Professor by courtesy of Electrical & Computer Engineering

  • B.S., Electrical Engineering, Zhejiang University, 1982
  • M.S., Electrical Engineering, Tokyo Institute of Technology, 1985
  • Ph.D., Bioelectrical Engineering, Tokyo Institute of Technology, 1988
  • Postdoctoral Fellowship in Biomedical Engineering, Harvard University - M.I.T., 1991
Bin He

Biography

Bin He’s research interests include brain–computer interfaces, electrophysiological neuroimaging, and neuromodulation. He has made significant contributions to neuroengineering at the systems level, advancing our understanding of the brain through novel sensing, modeling, and imaging approaches, as well as technologies for interfacing with the brain. His innovations have helped transform electroencephalography (EEG) from a one-dimensional sensing technology into a modern three-dimensional, dynamic brain imaging modality capable of resolving spatiotemporal brain activity and functional connectivity. His work has significantly advanced understanding of both brain function and dysfunction while contributing to reduced healthcare costs. His research on EEG-based brain–computer interfaces (BCIs) has led to major advancements. His lab developed the first EEG-based BCI capable of flying a drone and controlling a robotic arm to reach, move, and grasp objects in three-dimensional space using neural signals alone, as well as the first brain-controlled robotic hand with individual finger-level control. These advances have substantially expanded the capabilities and applications of noninvasive BCIs, with strong potential to improve quality of life for many individuals. His research has had a direct impact on the development of noninvasive neurotechnologies for managing neurological disorders, which are the leading cause of disability and the second leading cause of death worldwide.

He has published over 320 peer-reviewed journal articles, 20 book chapters, and 12 granted US patents, some of which are licensed to medical device companies. His publications received over 35,000 citations with an H-index of 97 according to Google Scholar. He has delivered hundreds of plenary, keynote, and invited lectures at leading national and international conferences and institutions. He’s research has been well recognized by various federal funding agencies with over $38M in funding as PI/Co-PI over the past 10 years.

He’s research contributions have been recognized internationally in the field of bioengineering. He is a Fellow of the National Academy of Inventors (NAI), the International Academy of Medical and Biological Engineering (IAMBE), IEEE, the American Institute of Medical and Biological Engineering (AIMBE), and the Biomedical Engineering Society (BMES). His major awards include the AIMBE Professional Impact Award for Leadership, AIMBE Earl Bakken Lecture Award, IEEE Biomedical Engineering Award, IEEE EMBS Academic Career Achievement Award, IEEE EMBS William J. Morlock Award, and American Heart Association Established Investigator Award, among others. He is the Editor-in-Chief of the IEEE Reviews in Biomedical Engineering and was the former Editor-in-Chief of the IEEE Transactions on Biomedical Engineering.    
  
He has served in various leadership positions in the national and international bioengineering community. He served as Past Chair of the International Academy of Medical and Biological Engineering, affiliated with the International Federation of Medical and Biological Engineering, and Past President of the IEEE Engineering in Medicine and Biology Society, a premier bioengineering society with 11,000+ members from 100+ countries. He also served in several positions facilitating the national BRAIN Initiative, including as Chair of NSF Workshop on Mapping and Engineering the Brain, Chair of IEEE EMBS BRAIN Grand Challenges Conference, and a Member of NIH BRAIN Multi-Council Working Group. During 2018-2021, He served as the biomedical engineering department head at 黑料正能量. At the University of Minnesota, He founded the Center for Neuroengineering, and served as director of the Institute for Engineering in Medicine (2012-2017), contributing significantly to interdisciplinary and multidisciplinary research collaboration.

Research Interests

Bin He’s research focuses on brain–computer interfaces (BCIs), electrophysiological neuroimaging, and neuromodulation. He has made major contributions to neuroengineering at the systems level, advancing understanding of the brain through novel sensing, modeling, and imaging approaches, as well as technologies for interfacing with the brain. He’s research has focused on developing engineering technologies that can improve clinical diagnosis and management of neurological disorders at a reduced cost.

Noninvasive Brain–Computer Interface. Dr. He has made profound scientific contributions to brain computer interface, with significant original works advancing noninvasive technology. Brain computer interfacing is aimed at establishing technologies that can interpret a subject’s intention and help augment and restore function loss due to neurodegenerative disorders. He’s lab has significantly advanced the state of the art of noninvasive brain computer interface, and demonstrated, for the first time in the world, that a human can control the flight of a drone in 3-dimensional space by “thoughts” alone. He’s lab further demonstrated that a human can control a robotic arm to continuously move, reach and grasp an object in 3-dimensional space and control a robotic hand at individual finger level, all by “thoughts” alone, as decoded from noninvasive EEG. The work has significantly advanced what noninvasive brain computer interface can do, with potential to benefit numerous patients.

Electrophysiological Neuroimaging. Dr. He is a world leader and pioneer in the field of electrophysiological neuroimaging, and has made seminal contributions to significantly enhance the spatial resolution of EEG source imaging. He proposed and introduced the anatomically constrained EEG source imaging framework with the aid of the boundary element method. He’s pioneering work has triggered a paradigm shift in brain electric source imaging and resulted in greater precision for EEG source imaging and localization, for neuroscience research and clinical applications in epilepsy management and clinical neurophysiology. He’s lab has made significant technical advancements through sparse signal processing and machine learning, to first establish the capability for not only localizing but also objectively imaging the extent of brain source distributions from scalp EEG and MEG. The work on EEG source imaging by He and his collaborators has enabled precision localization and imaging of epileptogenic networks for aiding presurgical planning in epilepsy, imaging and localizing brain targets that are responsible for generating and sustaining pain perception, guiding neuromodulation treatment. His sustained innovations in source imaging have led to its clinical use in guiding presurgical planning for drug-resistant epilepsy.

Noninvasive Neuromodulation. Dr. He’s research also focuses on noninvasive neuromodulation, particularly transcranial focused ultrasound (tFUS), along with transcranial electrical stimulation. Current major interest is focused at tFUS neuromodulation, including elucidating neuroscience mechanisms of tFUS stimulation, developing of electrophysiological source imaging guided tFUS neuromodulation, and treating pain and other neurological disorders using tFUS neuromodulation. He has made major advancements in developing ultrasound-based technology including magnetoacoustic imaging for precision tissue property imaging, and focused ultrasound for brain encoding and neuromodulation. He’s lab discovered for the first time that transcranial focused ultrasound provides cell type specificity and enables long-term depression in a rodent model. Recent work also involves the application of focused ultrasound for the treatment of chronic pain and epilepsy, as well as modulation of neural circuits to enhance brain decoding.

Selected Awards and Recognition

  • AIMBE Professional Impact Award for Leadership, 2026.
  • AIMBE Earl Bakken Lecture Award, 2024.
  • Fellow, National Academy of Inventors, 2022.
  • IEEE EMBS William J Morlock Award, 2019.
  • Trustee Professor of Biomedical Engineering, 黑料正能量, 2019.
  • IEEE Biomedical Engineering Award, 2017.
  • Fellow, Biomedical Engineering Society, 2017.
  • IEEE EMBS Academic Career Achievement Award, 2015.
  • IEEE EMBS Distinguished Service Award, 2014.
  • Fellow, International Academy of Medical and Biological Engineering, 2012.
  • Medtronic-Bakken Chair for Engineering in Medicine, University of Minnesota, 2012-2017.
  • Distinguished McKnight University Professorship, University of Minnesota, 2009-2018.
  • Fellow, American Institute of Medical and Biological Engineering, 2005.
  • Fellow, IEEE, 2004.
  • American Heart Association Established Investigator Award, 2001.
  • National Science Foundation CAREER Award, 1999.
  • University of Illinois University Scholar Award, 1999.

Editorial Activities

  • Editor-in-Chief, IEEE Review in Biomedical Engineering, 2023-Present.
  • Editor-in-Chief, IEEE Transactions on Biomedical Engineering, 2013-2018.
  • Section Editor, Brain Topography, 2010-Present.
  • Associate Editor, Frontiers in Human Neuroscience, 2019-Present.
  • Senior Editor, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2012-2016.
  • Associate Editor, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2006-2012.
  • Academic Editor, PLoS ONE, 2014-2018.
  • Associate Editor, IEEE Transactions on Biomedical Engineering, 2002-2012.
  • Associate Editor, Brain Topography, 2008-2010.
  • Associate Editor, IEEE Transactions on Information Technology in Biomedicine, 2004-2007.
  • Editor, Neural Engineering, Springer, 3rd Edition, 2020.
  • Editor, Neural Engineering, Springer, 2nd Edition, 2013.
  • Editor, Neural Engineering, 2005.

Selected Professional Activities


  • Member, Administrative Committee, IEEE EMBS, 2023-present.
  • Member, Publications Committee, IEEE EMBS, 2023-present.
  • Member, Nomination Committee, AIMBE, 2023-2024.
  • Member, Fellows Committee, BMES, 2022-2024.
  • Past Chair, International Academy of Medical and Biological Engineering (IAMBE), 2021-2024.
  • Chair, International Academy of Medical and Biological Engineering, 2018-2021.
  • Chair, Membership Committee, IAMBE, 2012-2018.
  • Co-Chair, IEEE Life Sciences Initiative, 2011-2013.    
  • President, IEEE Engineering in Medicine and Biology Society (EMBS), 2009-2010.     
  • Vice President for Publications, IEEE EMBS, 2007.
  • President, International Society for Functional Source Imaging, 2007-2008.     
  • Vice President for Publications and Technical Activities, IEEE EMBS, 2005-2006.
  • President, International Society of Bioelectromagnetism, 2002-2005.     
  • General Co-Chair, The 16th International Conference on Brain Informatics, 2023.
  • Co-Chair, International Program Committee, IEEE EMBS Annual International Conference, 2020.
  • Chair, Carnegie Mellon Forum on Biomedical Engineering, 2018-2020.
  • Conference Chair, IEEE EMBS BRAIN Grand Challenges Conference, 2014.
  • Conference Co-Chair, IEEE International Symposium on Biomedical Imaging, 2014.
  • Chair, NSF Workshop on Mapping and Engineering the Brain, 2013.
  • Conference Chair, Minnesota Neuromodulation Symposium, 2013-2017.
  • Conference Chair, IEEE EMBS International Conference on Neural Engineering, 2013.
  • Conference Chair, IEEE Life Sciences Grand Challenges Conference, 2012.
  • Co-Chair, Scientific Committee, World Congress on Medical Physics and Biomedical Engineering, 2012.
  • Chair, IEEE EMBS Forum on Grand Challenges in Neuroengineering, 2010.
  • Conference Chair, the Annual International Conference of IEEE EMBS, 2009.

Selected Plenary/Keynote Lectures

  1. Keynote Lecture, Bidirectional Brain-Computer Interface, IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) 2026, Pittsburgh, August 2026.
  2. Keynote Lecture, Noninvasive Brain-Computer Interface for Robotic Hand Control, International Conference on Artificial Intelligence, Machine Learning, and Robotics (AIMLR 2026), Rome, July 2026.
  3. Plenary Lecture, Bidirectional Brain-Computer Interfaces: Challenges and Opportunities, 12th WACBE World Congress on Bioengineering, Changzhou, July 2026.
  4. Earl Bakken Lecture, Dynamic Imaging and Interfacing with the Brain by Means of ML/AI, Annual Event of American Institute of Medical and Biological Engineering, DC, March 2024.
  5. Keynote Lecture, AI for Mapping and Interfacing with the Brain, IEEE EMBS International Conference in Biomedical and Health Informatics, Pittsburgh, Oct 2023.
  6. Keynote Lecture, AI for Mapping and Interfacing with the Brain, 16th Brain Informatics Conference, New York, Aug 2023.
  7. Keynote Lecture, Interfacing Brain with Machine, International Conference of Human Augmentation and Performance Modeling, August 2023 (online).
  8. Keynote Lecture, AI for Mapping Brain Dynamics and Managing Intractable Epilepsy, Georgia Tech Suddath Symposium, Atlanta, March 2023.
  9. Plenary Lecture, The Inverse Problem of Brain Electromagnetic Fields: Recent Advancement and Applications, 8th International Conference on Electromagnetic Field Problems and Applications, October 2021 (online).
  10. Keynote Lecture, Mind Control: Why, What and How, 20th World Congress of Psychophysiology, September 2021 (online).
  11. Plenary Lecture, Neural imaging, Interfacing, and Modulation – Challenges and Opportunities, 2019 China Biomedical Engineering Conference, Jinan, November 2019.
  12. Plenary Lecture, Dynamic Mapping and Interfacing with the Brain, 9th Cairo International Biomedical Engineering Conference, Cairo, December 2018.
  13. Plenary Lecture, Inverse Imaging: What, How, and the Impact to Health, 39th Annual International Conference of IEEE EMBS, Jeju Island, July 2017.
  14. BRAIN Plenary Symposium Lecture, Electrophysiological Neuroimaging and Brain-Computer Interfaces, 38th Annual International Conference of IEEE EMBS, Orlando, August 2016.
  15. Plenary Lecture, Mapping and Interfacing with the Human Brain, IEEE International Joint Conference on Neural Networks, Vancouver, July 2016.
  16. Opening Keynote Lecture, Bioelectricity and the Brain: From EEG to BCI, International Conference on Basic and Clinical Multimodal Imaging, Utrecht, September 2015.
  17. Keynote Lecture, BRAIN Initiative and Dynamic Brain Mapping, International Workshop on Brain Technology Initiative, Shanghai, December 2014.
  18. Plenary Lecture, Mapping and Decoding Brain Dynamics in vivo, IEEE EMBS BRAIN Grand Challenges Conference, Washington DC, November 2014.
  19. Theme Keynote Lecture, Dynamic Mapping and Interfacing with the Human Brain, IEEE EMBS Annual International Conference, Chicago, August 2014.
  20. Plenary Lecture, High-resolution Dynamic Neuroimaging of Brain Activity, NSF Workshop on Mapping and Engineering the Brain, Arlington, August 2013.
  21. Plenary Lecture, Engineering the Future of Medicine, Design of Medical Devices Conference, Minneapolis, April 2013.
  22. Keynote Lecture, Challenges and Opportunities in Neuroengineering: Understanding and Interfacing with the Brain, Design of Medical Devices Conference, Minneapolis, April 2012.
  23. Keynote Lecture, Functional Neuroimaging, Yangtze River International Conference on the Applications of Medical Imaging Physics & The 6th National Annual Meeting of Medical Imaging Physics, Hangzhou, October 2011.
  24. Plenary Lecture, Spatio-Temporal Functional Neuroimaging of Brain Activity, 5th IEEE EMBS International Conference on Neural Engineering, Cancun, April 2011.
  25. Keynote Lecture, Electrical Source and Impedance Imaging: Challenges and Opportunities, Workshop on MR-based Impedance Imaging, Seoul, December 2010.
  26. Plenary Lecture, Imaging and Interacting with the Brain: Challenges and Opportunities, Annual Conference of Chinese Society of Biomedical Engineering, Beijing, December 2010. 
  27. Keynote Lecture, Toward High-resolution Spatio-temporal Functional Brain Imaging, IEEE – EMBS Forum on Grand Challenges in Neuroengineering, Bethesda, May 2010.
  28. Plenary Lecture, Emerging Frontiers in Biomedical Engineering and Functional Neuroimaging, Chinese Conference on Biomedical Engineering, Chongqing, October 2009.
  29. Keynote Lecture, Neuroengineering: Opportunities and Challenges to Reverse Engineer the Brain, Second International Conference on BioMedical Engineering and Informatics and the Second International Congress on Image and Signal Processing, Tianjin, October 2009.
  30. Plenary Lecture, Functional Imaging of Brain and Heart Activity, Joint Meeting of the 7th International Symposium on Noninvasive Functional Source Imaging & 7th International Conference on Bioelectromagnetism, Rome, May 2009.
  31. Keynote Lecture, Functional Neuroimaging of Dynamic Brain Activity, 5th International Conference on Information Technology and Applications in Biomedicine, Shenzhen, May 2008.
  32. Keynote Lecture, Electrophysiological Neuroimaging: Past, Present and Future, Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of Brain and Heart and the International Conference on Functional Biomedical Imaging, Hangzhou, October 2007.
  33. Keynote Lecture, Electrophysiological Imaging of Brain and Cardiac Electrical Activity, The 6th International Conference on Bioelectromagnetism, Aizu, October 2007.
  34. Plenary Lecture, From High-resolution EEG to Electrophysiological Neuroimaging, 15th International Congress on Brain Electromagnetic Topography, Tokyo, April 2004.
  35. Plenary Lecture, Electrophysiological Neuroimaging. The 4th International Conference on Bioelectromagnetism, Montreal, July 2002.

Publications (Please click here for a complete list.)