A headshot photo of Omid Dehzangi.

Omid Dehzangi, PhD

Assistant Professor

Contact Information

Address
Rockefeller Neuroscience Institute
Morgantown, WV 26506

Affiliations

  • Department of Neuroscience
  • Rockefeller Neuroscience Institute

Graduate Training

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

Fellowship

  • 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

PubMed

JOURNAL PAPERS

Dehzangi, Omid, Iftikhar, Omar, Li, Ying, Winsman, Jeffrey, “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, Mojtabat, Dehzangi, Omid, 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 , Omid, Farooq, Muhamed, “Discriminative Training of Subject-Dependent Gaussian Mixture Models for Portable SSVEP Identification”, submitted to IEEE Journal of Biomedical and Health Informatics (JBHI).

Dehzangi, Omid, Biggan, John R., Ray, Christopher, Jafari, Roozbeh, “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, Mojtaba. Dehzangi, Omid. “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).

Dehzangi , Omid, Rajendra, Vikas, “Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses”, Accepted for publication at The MDPI Sensors 2018.

Dehzangi, Omid, Farooq, Muhamed, “Portable Brain Computer Interface for the Intensive Care Unit Patient Communication using Subject-Dependent SSVEP Identification"”>, Accepted for publication at The BioMed Research International Journal, 2018.

Taherisadr, Mojtaba, Dehzangi, Omid, Hossein Parsaei, “Single Channel EEG Artifact Identification Using TwoDimensional Multi-Resolution Analysis”, The MDPI Sensors journal, 2017, vol. 17, no. 12, 2895; doi:10.3390/s17122895

Dehzangi, Omid, Taherisadr, Mojtaba, Changalvala, Raghvendar, “IMU-based Gait Recognition using Convolutional Neural Networks and Multi-Sensor Fusion”, The MDPI Sensors journal 2017, vol. 17, no. 12, 2735; doi:10.3390/s17122735.

Dehzangi, Abdollah, Paliwal, Kuldip, Sharma, Alok, Dehzangi, Omid, Sattar, Abdul, “A Combination of Feature Extraction Methods with an Ensemble of Different Classifiers for Protein Structural Class Prediction Problem”, IEEE/ACM transactions on computational biology and bioinformatics, Vol. 10, no. 3, pp. 564 – 575, 2013.

Dehzangi, Omid, Ma, Bin, Chng, Eng Siong, Li, Haizhou, “Discriminative feature extraction for speech recognition using continuous output codes”, Pattern Recognition Letters journal, vol. 33, pp. 1703–1709, 2012. 

Dehzangi, Omid, Ma, Bin, Chng, Eng Siong, Li, Haizhou, “Error corrective fusion of classifier scores for spoken language recognition”, IEICE transaction on information and systems, vol. 94-D, no.12, pp. 2503-2512, 2012.  

Boostani, Reza, Dehzangi, Omid, Jarchi, Delaram. Zolghadri, Mansoor, “An efficient pattern classification approach: combination of weighted LDA and weighted nearest neighbor”, Journal of Neural Network World, vol. 5, no. 10, pp. 621-635, 2010.  

Dehzangi, Abdollah, Phon-Amnuaisuk, Somnuk, Dehzangi, Omid, “Using Random Forest for Protein Fold Prediction Problem: An Empirical Study”, Journal of Information Science and Engineering, vol. 26, no. 6, pp. 1941-1956, 2010. J1.

Dehzangi, Abdollah, Phon-Amnuaisuk, Somnuk, Dehzangi, Omid, “Enhancing Protein Fold Prediction Accuracy by Using Ensemble of Different Classifiers”, Australian Journal of Intelligent Information Processing Systems, Vol 10, No 4, 32-40, 2009. 

BOOK CHAPTERS

Dehzangi, Omid, Zolghadri, Mansoor , Dehzangi, Abdollah, “An Efficient Nearest Neighbor Classifier Using an Adaptive Distance Measure”, Lecture Notes in Computer Science, Springer Berlin, 0302-9743, vol. 4673, pp. 970978, 2007.

Dehzangi, Omid, Zolghadri, Mansoor , Boostani, Reza, “High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface”, Lecture Notes in Bioinformatics, Springer Berlin, 0302-9743, vol. 4774, pp. 378-390, 2007.