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A headshot photo of Omid Dehzangi.

Omid Dehzangi, PhD

Assistant Professor

Contact Information

Rockefeller Neuroscience Institute
Morgantown, WV 26506


  • Department of Neuroscience
  • Department of Computer Science and Electrical Engineering
  • Rockefeller Neuroscience Institute

Graduate Training

  • PhD in Computer Engineering, Nanyang Technological University
  • MSc in Computer Engineering, Shiraz University


  • Postdoctoral Fellow, Electrical Engineering, Center for Brain Health, University of Texas, Dallas

Research Interests

Learning from Data: 

Pattern Recognition and Classification, Machine Learning, Data Mining, Discriminative Training and Error Minimization, Statistical Signal Processing, Brain-Computer Interface Design, Time Series Prediction, Speech, Speaker, and Spoken Language Recognition, Motion Capture and Analysis, Targeted Advertisement

Medical Embedded Systems:

Algorithm Design, Collaborative Signal and Information Processing, Power-Aware Computing, Design and Analysis of Wearable Computers, Real-time and Self-Calibrating Devices, Cyber Physical System Design, Scalable Learning, Context-Aware Reasoning

Wireless Health & Physiological Monitoring :

Body Sensor Networks, Analysis of EEG, ECG, GSR, motion, temperature, pressure, and multi-modal systems, In-Home Rehabilitation, Physical Movement Monitoring, Diagnosis of Neurodegenerative Disorders, Biofeedback for Movement Disorders, Sports Training, Smart Home 

Grants and Research

Dehzangi, Omid, Mitra, Pramita, Ford-UM alliance (Provisionally approved), “Seamless Customization of Multiple Smart Environments using Multi-Modal and Dynamic-Density Sensor Data”, $219,425, 05/15/2017 – 05/15/2019. 

Dehzangi, Omid, Li, Ying,  M-Cubed 2.0, “Development of an unobtrusive and pervasive pressure monitoring system to understand and enhance brace wear compliance in adolescent idiopathic scoliosis”, $60,000, 07/15/2016 – 12/31/2017. 

Dehzangi, Omid, Step-2 Grant for Faculty Research by the Faculty Senate Research Support Committee, “Designing a Real-time Driver Authentication system: Gait Pattern Recognition using wearable motion sensors”, $14,800, 06/15/2016 – 12/31/2017. 

Najarian, Kayvan, et. al., Toyota research pilot program, “Phase 2: Developing an In-Vehicle Emergency Medical Condition Detection System”, $1,500,000, 02/07/15/2016 – 07/15/2018.

Recent Publications


Under Review

  • Dehzangi O, Iftikhar O, Li Y, Winsman J, “Adaptive Unsupervised Compliance Monitoring of brace treatment for adolescent idiopathic scoliosis”, under the 2nd round of reviews for the Journal of Biomedical and Health Informatics (JBHI).
  • Taherisadr M, Dehzangi O, “Shoe-based Human Activity Recognition: Multi-Pressure Sensor Characterization and Selection using Coalitional Game Theory”, submitted to EURASIP Journal on Advances in Signal Processing.
  • Dehzangi O, Biggan JR, Ray C, Jafari R, “A Motion Sensor-Based Method for Early Detection and Reduction of Lateral Sway Angle in Older Adults via Gait Analysis and Vibrotactile Biofeedback”, Submitted to the IEEE Transaction on Biomedical Engineering.
  • Taherisadr M. Dehzangi O. “Online EEG-Based Driver Distraction Detection On-The-Road via Cooperative-Game-Theoretic Channel Characterization and Selection.”, submitted to IEEE Journal of Biomedical and Health Informatics (JBHI).