BMI Systems Research Group
People

Our Team

Researchers advancing brain-machine interface systems through engineering, signal processing, artificial intelligence and human-centred applications.

People Ideas Technology Better Lives
Vinod A Prasad, PhD
Principal Investigator

Vinod A Prasad, PhD

Professor, Infocomm Technology Cluster
Singapore Institute of Technology

Visiting Senior Academician, Singapore Health Services (SingHealth)
Visiting Professor, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India

vinod.prasad@singaporetech.edu.sg Personal Website →
Research Team

Researchers & Students

Together

Research Team

Current BMI research team photograph
Current BMI research team photograph
Aswin Sekhar C S

Aswin Sekhar C S

D.Engg Student
  • Brain-Computer Interfaces
  • Generative AI for Biomedical Signals
  • Deep Learning for Neural Signal Processing
  • Neurodegenerative Disorders
  • Clinical Neurorehabilitation and Neurotechnology
Chandu Priya Matavalam

Chandu Priya Matavalam

D.Engg Student
  • Neuromarketing and Consumer Neuroscience
  • Machine Learning and Deep Learning for Physiological Signals
  • Signal Processing
Devika K M

Devika K M

D.Engg Student
  • Brain-Computer Interfaces
  • Biomedical Signal Processing
  • Deep learning and AI
Dr. Jijomon C. M.

Dr. Jijomon C. M.

Research Fellow
  • Biomedical Signal Processing
  • Applied machine learning
  • Brain-Computer Interface
  • Non-invasive Brain Stimulation
  • Speech Signal Processing.
Dr. Sagila Gangadharan K.

Dr. Sagila Gangadharan K.

Research Associate
  • Brain Computer Interfaces
  • Neural Signal Processing
  • Machine Learning & Deep learning
Dr. Suhail T. A.

Dr. Suhail T. A.

Research Fellow
  • EEG Signal Analysis
  • Brain-Machine Interface Systems for Neurofeedback Training
  • Neuroscience for Attention, Working Memory etc.
Gina Chui Wen Yi

Gina Chui Wen Yi

M. Engg Student
  • Biomedical Signal Processing & AI
  • Healthcare Technology
  • Medical Device Systems
Rahul Ganesh

Rahul Ganesh

M. Engg Student
  • AI for Healthcare
  • Deep Learning
  • Brain-Computer Interface