Areas of Expertise

• Cyber-Physical Systems and Control
• Smart and Connected Health
• Smart and Connected Community
• Robotic Prosthesis and Exoskeleton
• Signal Processing, Machine Learning, and Artificial Intelligence
• Multivariate Signal Processing, Detection, and Classification/Prediction
• Embedded Systems, Wearable Devices, and Medical Instrumentation
• Complex Systems Modeling and Control

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

• EEL3664/EEL5669 – Autonomous Systems and Control
• EEL3135 – Signal and Systems
• EEL5653 – Digital Control Systems
• EEE6765 – Advanced Embedded Systems Design and Implementation for IoT Applications
• EEE6767 – Embedded Programming for IoT Sensing, Network, Control, and Applications
  
  
  

Selected Referred Journal Articles

• Hasan SS, Marquez JS, Siddiquee MR, Fei D-Y, Bai O. Preliminary Study on Real-time Prediction of Gait Acceleration Intention from Volition-Associated EEG Patterns. IEEE Access. 2021;9:62676-86.
• Siddiquee MR, Hasan SS, Marquez JS, Ramon RN, Bai O. Accurate vigilance detection during gait by using movement artifact removal. IEEE Access. 2020;8:51179-88.
• Siddiquee MR, Atri R, Marquez JS, Hasan S, Ramon R, Bai O. Sensor location optimization of wireless wearable fnirs system for cognitive workload monitoring using a data-driven approach for improved wearability. Sensors. 2020;20(18):5082.
• Ramon R, Yi T, Nataros C, Garcia C, Aravelli A, Lagos L, et al., editors. Robotic Exoskeleton Design and System Control for Glovebox Operators in Nuclear Facilities. 2020 IEEE/SICE International Symposium on System Integration (SII); 2020: IEEE.
• Marquez JS, Hasan S, Siddiquee MR, Luca CC, Mishra VR, Mari Z, et al. Neural correlates of freezing of gait in Parkinson's disease: an electrophysiology mini-review. Frontiers in neurology. 2020:1303.
• Hasan SS, Siddiquee MR, Marquez JS, Bai O. Enhancement of movement intention detection using EEG signals responsive to emotional music stimulus. IEEE Transactions on Affective Computing. 2020.
• Hasan SS, Siddiquee MR, Bai O. Asynchronous prediction of human gait intention in a pseudo online paradigm using wavelet transform. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020;28(7):1623-35.
• Hasan SS, Siddiquee MR, Atri R, Ramon R, Marquez JS, Bai O. Prediction of gait intention from pre-movement EEG signals: a feasibility study. Journal of neuroengineering and rehabilitation. 2020;17(1):1-16.
• Gorgey AS, Gill S, Holman ME, Davis JC, Atri R, Bai O, et al. The feasibility of using exoskeletal‐assisted walking with epidural stimulation: a case report study. Annals of clinical and translational neurology. 2020;7(2):259-65.
• Du Z, Yan Z, Huang T, Zhang Z, Zhang Z, Bai O, et al., editors. Mechanical Design and Preliminary Performance Evaluation of a Passive Arm-support Exoskeleton. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 2020: IEEE.
• Siddiquee MR, Xue T, Marquez JS, Atri R, Ramon R, Mayrand RP, et al., editors. Sensor fusion in human cyber sensor system for motion artifact removal from nirs signal. 2019 12th International Conference on Human System Interaction (HSI); 2019: IEEE.
• Ramon R, Nataros C, Yi T, Lagos L, Avarelli A, Bai O, editors. Hotcell Worker Assistive Robotic Exoskeleton Design and Control. 2019 IEEE International Symposium on Measurement and Control in Robotics (ISMCR); 2019: IEEE.
• Hasan SS, Siddiquee MR, Bai O, editors. Supervised classification of eeg signals with score threshold regulation for pseudo-online asynchronous detection of gait intention. 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA); 2019: IEEE.