|Present||Professor of Electrical & Computer Engineering and Associate Dean for Research and Graduate Studies, Rowan University ‐ Henry M. Rowan College of Engineering|
Honors and Awards
- The 2017 Rowan University Research Achievement Award
|2007||PhD Electrical and Computer Engineering, The University of Illinois at Chicago|
Recent Works (13)
Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks
International Workshop on Machine Learning for Signal Processing (2019)
Model confidence or uncertainty is critical in autonomous systems as they directly tie to the safety and trustworthiness of the ...
Introducing Undergraduates to Pattern Recognition and Machine Learning through Speech ...
International Conference on Acoustics, Speech, and Signal Processing (2019)
This paper describes an educational project experience that achieves a software implementation and performance analysis of a blind signal to ...
Hand Movement Discrimination Using Particle Filters
2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (2018)
Powered prosthetic devices can be driven using task-specific information from surface electromyogram (sEMG) signals recorded over the relevant muscles. The ...
Journal Articles (6)
SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation
IEEE Journal of Biomedical and Health Informatics (2017)
We consider a high-dimension low sample-size multivariate regression problem that accounts for correlation of the response variables. The system is ...
A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources
IEEE Journal of Biomedical and Health Informatics (2016)
Electroencephalography (EEG)-based brain computer interface (BCI) is the most studied noninvasive interface to build a direct communication pathway between the ...
Real-Time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2016)
We present a novel formulation that employs task-specific muscle synergies and state-space representation of neural signals to tackle the challenging ...
Board 30: Enhancing Core Chemical Engineering Courses with Computationally-Intense Course ...
Henry M. Rowan College of Engineering Faculty Scholarship (2018)
This paper will present two new course modules that have been developed for junior-level Chemical Engineering core courses: Chemical Reaction ...
The AKRON-Kalman filter for tracking time-varying networks
2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (2017)
We propose the AKRON-Kalman filter for the problem of inferring sparse dynamic networks from a noisy undersampled set of measurements. ...