FIU College of Engineering and Computing

Florida International University - Electrical and Computer Engineering
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Ou Bai

Education

  • Ph.D. in Electrical & Systems Control Engineering, Saga University, Saga, Japan
  • B.S. in Electronic Engineering, Tsinghua University, Beijing, China

Learn more about professor Bai and the Human Cyber-Physical Systems Lab

Areas of Expertise

  • Cyber-Physical Systems Research on Robotic/Prosthetic Optimization and Control
  • Smart and Connected Health Research on In-home Exercise/Rehabilitation Monitoring
  • Cyber-security and Privacy in Cyber-Physical Systems
  • Sensors and Real-time Sensor Signal Processing and Recognition
  • Multivariate Signal Processing, Detection, and Classification/Prediction
  • Embedded Systems Engineering and Instrumentation
  • Feedback Control and Closed-loop Human-Machine Interactions
  • Medical Devices
  • Robotic Systems Development for Tele-Rehabilitation

Professional Activities

Dr. Bai serves as the Director of Human Cyber-Physical Systems (HCPS) Laboratory in FIU. He leads the HCPS Lab to develop new sensor, network and computing technologies to accelerate both the creation and our understanding of the complex and increasingly coupled relationships between humans and computing with the broad goal of advancing human capabilities. Dr. Bai has successfully developed a number of Intent-of-Things (IoT) applications that may promote better human interactions with physical world, such as brain-computer interfaces (BCIs), neuro prosthetics, and human-robot interactions. Dr. Bai has published more than 100 Journal papers and conference proceedings. He is member of IEEE EMBS society.

Courses Taught

  • EEL 3135 – Signal and Systems
  • EEL5653 – Digital Control Systems
  • EEE6311/12 – Advanced Electronic System
  • EEL6615 – Modern Control Theory

Selected Referred Journal Articles

  • Murphy D, Fox J, Burkhardt B, Lovegreen, Bai O (2016) Brain Computer Interface Control of a Prosthetic Knee in a Transfemoral Amputee. J. Prosthetics & Orthotics (In Review)
  • Li Q, Liu S, Li J, Bai O (2015) Use of a Green Familiar Faces Paradigm Improves P300- Speller Brain-Computer Interface Performance. PLoS ONE 10(6): e0130325. doi:10.1371/journal. pone.0130325
  • Lawoyins S, Fei DY, Liu X, Bai O, (2015) Evaluating the Efficacy of an Accelerometer-based Method for Drowsy Driving Detection,  Int. J. Vehicle Safety, 8(2):165-79
  • Lawoyins S, Fei DY, Bai O, (2014) A Novel Application of Inertial Measurement Units as a Vehicular Technology for Drowsy Driving Detection via Steering Wheel Movement, Open Journal of Safety Science and Technology, 4(4): 166-67
  • Lawoyins S, Fei DY, Bai O, (2014) Accelerometer-based Steering Wheel Movement Monitoring for Drowsy Driving Detection, Proc. IMechE, Part D: Journal of Automobile Engineering, 229(2): 163-73
  • Bai O, Huang D, Fei DY, Kunz R, (2014) Effect of Real-Time Cortical Feedback in Motor Imagery-based Mental Practice Training, NeuroRehabilitation, 34(2): 355-63
  • Schneider L, Houdayer E, Bai O, Hallett M (2013) What We Think before a Voluntary Movement. J Cogn Neurosci 25(6): 822-9
  • Huang D, Qian K, Oxenham S, Fei D, Bai O (2012) Event-related Desynchronization/Synchronization-based Volitional Cursor Control in a Two-Dimensional Center-out Paradigm, Journal of Artificial Intelligence and Soft Computing Research, 2(2)
  • Huang D, Qian K, Fei D, Jia W, Chen X, Bai O (2012) Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/ synchronization and state control. IEEE Trans Neural Syst Rehabil Eng 20: 379-88
  • Bai O, Rathi V, Lin P, Hallett M, Battapady H, Huang D, Chen X, Fei D-Y (2011) Can we predict human voluntary movement intention in real-time before it occurs? Clin Neurophysiol 122: 364-72