Brain-Machine Interface Systems


TC Leadership

Michael H. Smith

TC Chair

Michael H. Smith
University of California, Berkeley, USA

Ricardo Chavarriaga

TC Co-Chair

Ricardo Chavarriaga
Ecole Polytechnique Fédérale de Lausanne, Switzerland

Vinod A Prasad

TC Co-Chair

Vinod A Prasad
Indian Institute of Technology (IIT) Palakkad

Tiago Falk

TC Co-Chair

Tiago Falk
INRS-EMT, Université du Québec, Canada

Christoph Guger

TC Co-Chair

Christoph Guger
g.tec medical engineering GmbH, Austria


Our Goal

Brain-Machine Interfaces (BMI) are about transforming thought into action, or, conversely, sensation into perception. One example of this paradigm contends that a user can perceive sensory information and enact voluntary motor actions through a direct interface between the brain and a prosthetic device in virtually the same way that we see, hear, walk, or grab an object with our own natural limbs.

The primary objective of the BMI Systems Technical Committee is to bring together specialists from the different areas that will be required as part of any real-world BMI system: systems neuroscience, system integration, sensors, integrated circuits, machine learning, control, robotics, biology, clinical studies, neurologists, system engineers, cybernetic experts, human-machine professionals, and other computer scientists and engineers working in this interdisciplinary environment. The goal of the TC is to provide a basis for the exchange of information and resources among these diverse communities, to enable interactions between groups from these fields and to bring a systems perspective to the field of BMI.


  • Kai Keng Ang, Institute for Infocomm Research, A*STAR, Singapore
  • José M. Azorín, Miguel Hernandez University Elche, Spain
  • Valentina Emilia Balas, Aurel Vlaicu University, Romania
  • Hessam Bashir
  • Sebastian Basterrech, T. U. Ostrava, Czech Republic
  • Biswajit Bhowmik, IIT Guwahati, India
  • Ethan Blackford, Ball Aerospace, USA
  • Laurent Bougrain, INRIA/LORIA, France
  • Tom Carlson, University College London, UK
  • Jose Carmena, University of California, Berkeley, USA
  • Ricardo Chavarriaga, Ecole Polytechnique Fédérale de Lausanne, Switzerland
  • Emmanouil Chiou, University of Birmingham, UK
  • Seungjin Choi, POSTECH, Korea
  • C.L. Philip Chen, University of Macau, China
  • Jose L. Contreras-Vidal, University of Houston, USA
  • Álvaro Costa, U Miguel Hernandez, Spain
  • Suzana Dantas Daher, Federal University of Pernambuco, Brazil
  • György Eigner, Obuda University, Hungary
  • Justin R. Estepp, AFRL, USA
  • Siamac Fazli, Korea University, Korea
  • Dimitar Filev, Ford Research & Innovation Center, USA
  • Jack Gallant, University of California, Berkeley, USA
  • Kiran George, California State University, Fullerton, USA
  • Christoph Guger, G.Tec, Austria
  • Smitha K. G., Nanyang Technological University, Singapore
  • Jaeho Han, Korea University, Korea
  • Michael Heidingsfeld, University Stuttgart, Germany
  • Rumi Hiraga, Tsukuba University of Technology, Japan
  • Matthias R. Hohmann, Max Planck Institute, Germany
  • Ming Hou, Defence Research & Development Canada
  • Randy Hover, SDSMT, South Dakota, USA
  • Yaoping Hu, University of Calgary, Alberta, Canada
  • Guang-Bin Huang, Nanyang Technological University, Singapore
  • David Hung
  • Camille Jeunet, INRIA Rennes, France
  • Li Jianqiang, Beijing University of Technology, China
  • Jack J. Judy, University of Florida, USA
  • Murakami Kenta, Panasonic
  • Khizer Khaderi, Vizzario Inc, USA
  • Dong-Joo Kim, Korea University, Korea
  • Robert T. Knight, University of California, Berkeley, USA
  • Scott Koziol, Baylor University, USA
  • Robert Kozma, University of Memphis, USA
  • Seong-Whan Lee, Department of Brain and Cognitive Engineering, Korea
  • Robert Leeb, Center for Neuroprosthetics, EPFL, Switzerland
  • Joel Libove, Furaxa Inc., USA
  • Fabien Lotte, INRIA Bordeaux, France
  • José del R. Millán, Swiss Federal Institute of Technology, Lausanne, Switzerland
  • Byoung-Kyong Min, Korea University, Korea
  • Javier Minguez, BitBrain Technologies, Spain
  • Luis Montesano, Universidad de Zaragoza, Spain
  • Jun Morimoto, ATR, Japan
  • Tim Mullen, Qusp, USA
  • Tadahiko Murata, Kansai University, Japan
  • Saeid Nahavandi, Deakin University, Australia
  • Marcia O'Malley, Rice University, USA
  • Chang Soo (CS) Nam, North Carolina State University, USA
  • Mahesh R. Panicker, GE Global Research, Bangalore, India
  • Shahram Payandeh, Simon Fraser University, Canada
  • Witold Pedrycz, University of Alberta, Edmonton, Canada.
  • Winfred Phillips, University of Florida, USA
  • Paul Padma Polash, U. Calgary, Canada
  • Riccardo Poli, University of Essex, UK
  • Girijesh Prasad, University of Ulster, UK
  • Vinod A Prasad, Nanyang Technological University, Singapore
  • Jaroslaw Protasiewicz, National Information Processing Int., Poland
  • Philipp Rapp, University Stuttgart, Germany
  • Victor Raskin, Purdue University, USA
  • Almerindo Rehem, Federal U. Bahia, Brasil
  • Rodney Roberts, Florida State University, USA
  • Neethu Robinson, Nanyang Technological University, Singapore
  • Itzel Jared Rodriguez Martinez
  • Reinhold Scherer, TU Graz, Austria
  • Mohamed Shady, Deakin University, Australia
  • Michael H. Smith, University of California, Berkeley, USA
  • Adrian Stoica, Jet Propulsion Laboratory, USA
  • Alexandra Szollosi, Hungarian Academy of Science
  • Kavitha P. Thomas, Nanyang Technological University, Singapore
  • Margaret Thompson, U. Washington, USA
  • Ljiljana Trajkovic, Simon Fraser University, Canada
  • Pete Trautman, Galois, Inc., USA
  • Abhishek Verma, U. Minnesota, USA
  • Juan P. Wachs, Purdue University, USA
  • Chun-Shu Wei, National Chiao Tung University, Taiwan
  • Dongrui Wu, Machine Learning Lab, GE Global Research, USA
  • Dingguo Zhang, Institute of Robotics, Shanghai Jiao Tong University, China
  • Xianjun Zhu
  • Catharina Zich, U. Oldenburg, Germany

BMI Workshop Webinars

Presentations recorded during the BMI Workshop webinars at IEEE SMC 2016.

Presentations by four experts in brain-machine interfaces were carried as webinars during the BMI Workshop at SMCS2014. Use the links below to view the recordings.

Learn More

These materials provide more information on topics of interest to our technical committee.

Recent Activities

  • Organized Workshops on BMI at SMC'09-'11, and yearly since 2014.
  • Organized Tutorials, a Panel, and Keynote on BMI at various SMC and other conferences.
  • Associate Editors for SMC Transactions journals.

Join Us

  • Interact with experts in Brain Machine Interface Systems, which is a relatively new and rapidly growing research field. Both invasive and non-invasive techniques (BCI) for interfacing the brain are included.
  • Participate in interesting conferences and workshops.
  • Make friends from different regions of the world.
  • Exchange research ideas and possibly share research resources.


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