SelectedWorks - Nidhal Bouaynaya

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Selected Works of Nidhal Bouaynaya

Professor of Electrical & Computer Engineering and Associate Dean for Research and Graduate Studies; Henry M. Rowan College of Engineering

Dr. Bouaynaya does research in the areas of Signal, Image and Video Processing; Genomic and Proteomic Signal Processing and Communications; Bioinformatics; Dynamical Systems; Mathematical and Stochastic Modelling of Signals and Systems; Mathematical Morphology; and Biomedical Image Processing.

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About Nidhal Bouaynaya

Dr. Bouaynaya does research in the areas of Signal, Image and Video Processing; Genomic and Proteomic Signal Processing and Communications; Bioinformatics; Dynamical Systems; Mathematical and Stochastic Modelling of Signals and Systems; Mathematical Morphology; and Biomedical Image Processing.

Present	Professor of Electrical & Computer Engineering and Associate Dean for Research and Graduate Studies, Rowan University ‐ Henry M. Rowan College of Engineering
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution

Electrical and Computer Engineering

Signal, Image and Video Processing, Genomic and Proteomic Signal Processing and Communications, Bioinformatics, Dynamical Systems, Mathematical and Stochastic Modelling of Signals and Systems, Mathematical Morphology, and Biomedical Image Processing

The 2017 Rowan University Research Achievement Award

2007	PhD Electrical and Computer Engineering, The University of Illinois at Chicago
Institution Organization Student Type Student Title Degree Time Period to Options Currently enrolled Affiliate my profile with this Institution

Faculty page

Predicting Air Traffic Congested Areas with Long Short-Term Memory Networks

Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021) (2021)

Loïc Shi-Garrier, Daniel Delahaye and Nidhal Bouaynaya

Abstract : The Extended ATC Planning (EAP) function aims at bridging the gap between Air Traffic Flow & Capacity Management (ATFCM) ...

Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation.

arXiv: Computer Vision and Pattern Recognition (2021)

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya and Hassan M. Fathallah-Shaykh

Magnetic resonance imaging (MRI) is routinely used for brain tumor diagnosis, treatment planning, and post-treatment surveillance. Recently, various models based ...

Exploring Robustness of Neural Networks through Graph Measures.

arXiv: Learning (2021)

Asim Waqas, Ghulam Rasool, Hamza Farooq and Nidhal C. Bouaynaya

Motivated by graph theory, artificial neural networks (ANNs) are traditionally structured as layers of neurons (nodes), which learn useful information ...

Application of Satellite Remote Sensing in Monitoring Elevated Internal Temperatures ...

Applied Sciences (2020)

Rouzbeh Nazari, Husam Alfergani, Francis M Haas, Maryam E. Karimi, et al.

Subsurface fires and smoldering events at landfills can present serious health hazards and threats to the environment. These fires are ...

Using Deep Speech Recognition to Evaluate Speech Enhancement Methods

International Joint Conference on Neural Network (2020)

Shamoon Siddiqui, Ghulam Rasool, Ravi P. Ramachandran and Nidhal C. Bouaynaya

Progress in speech-related tasks is dependent on the quality of the speech signal being processed. While much progress has been ...

Bayes-SAR Net: Robust SAR Image Classification with Uncertainty Estimation Using ...

IEEE International Radar Conference (2020)

Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Adam Eichen, et al.

Synthetic aperture radar (SAR) image classification is a challenging problem due to the complex imaging mechanism as well as the ...

Approximate kernel reconstruction for time-varying networks

Biodata Mining (2019)

Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg and Hassan M. Fathallah-Shaykh

Most existing algorithms for modeling and analyzing molecular networks assume a static or time-invariant network topology. Such view, however, does ...

Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks

International Workshop on Machine Learning for Signal Processing (2019)

Dimah Dera, Ghulam Rasool and Nidhal Bouaynaya

Model confidence or uncertainty is critical in autonomous systems as they directly tie to the safety and trustworthiness of the ...

A Deep Learning Framework for Joint Image Restoration and Recognition

Circuits Systems and Signal Processing (2019)

Ruilong Chen, Lyudmila Mihaylova, Hao Zhu and Nidhal Carla Bouaynaya

Image restoration and recognition are important computer vision tasks representing an inherent part of autonomous systems. These two tasks are ...

Constrained particle filtering for movement identification in forearm prosthesis

Signal Processing (2019)

Nesrine Armor, Ghulam Rasool, Nidhal C. Bouaynaya and Roman Shterenberg

We formulate the problem of movement identification for the forearm prosthesis using a nonlinear state-space system and the hypothesis of ...

Inception Modules Enhance Brain Tumor Segmentation

Frontiers in Computational Neuroscience (2019)

Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya and Hassan M. Fathallah-Shaykh

Magnetic resonance images of brain tumors are routinely used in neuro-oncology clinics for diagnosis, treatment planning, and post-treatment tumor surveillance. ...

Rotorcraft Flight Information Inference from Cockpit Videos using Deep Learning

AHS International Forum 75 (2019)

Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya and Charles Johnson

Introducing Undergraduates to Pattern Recognition and Machine Learning through Speech ...

International Conference on Acoustics, Speech, and Signal Processing (2019)

Ravi P. Ramachandran, Kevin D. Dahm and Nidhal C. Bouaynaya

This paper describes an educational project experience that achieves a software implementation and performance analysis of a blind signal to ...

SYSTEMS AND METHODS FOR DATA COLLECTION AND PERFORMANCE MONITORING OF ...

Parth Bhavsar, Nidhal Bouaynaya, Yusuf Mehta and Chowdhury Mashrur

The present invention provides a data collection system comprising: a camera; a location module; a plurality of sensors; and a ...

Hand Movement Discrimination Using Particle Filters

2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (2018)

Nesrine Armor, Ghulam Rasool, Nidhal C. Bouaynaya and Roman Shterenberg

Powered prosthetic devices can be driven using task-specific information from surface electromyogram (sEMG) signals recorded over the relevant muscles. The ...

Earth SySTEM: Investigating earth from space

2018 IEEE Integrated STEM Education Conference (2018)

John D. Moore, Peter Dorofy, Michael Jabot, Nidhal Bouaynaya, et al.

This paper will highlight the first year results of engaging K12 teachers in professional development activities that utilize the Space ...

Journal Articles (6)

AKRON: An Algorithm for Approximating Sparse Kernel Reconstruction

Signal Processing (2018)

Gregory Ditzler, Nidhal Carla Bouaynaya and Roman Shterenberg

Exact reconstruction of a sparse signal for an under-determined linear system using the ℓ0-measure is, in general, an NP-hard problem. ...

On the Convergence of Constrained Particle Filters

IEEE Signal Processing Letters (2017)

Nesrine Amor, Nidhal Carla Bouaynaya, Roman Shterenberg and Souad Chebbi

The power of particle filters in tracking the state of nonlinear and non-Gaussian systems stems not only from their simple ...

SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation

IEEE Journal of Biomedical and Health Informatics (2017)

Belhassen Bayar, Nidhal Bouaynaya and Roman Shterenberg

We consider a high-dimension low sample-size multivariate regression problem that accounts for correlation of the response variables. The system is ...

Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix ...

Bulletin of Mathematical Biology (2016)

Dimah Dera, Nidhal Bouaynaya and Hassan M. Fathallah-Shaykh

We address the problem of fully automated region discovery and robust image segmentation by devising a new deformable model based ...

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)

Gulam Rasool, Kamran Iqbal and Nidhal C. Bouaynaya

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)

Kevin Dahm, Ravi P. Ramachandran and Nidhal Carla Bouaynaya

This paper will present two new course modules that have been developed for junior-level Chemical Engineering core courses: Chemical Reaction ...

Board # 29 : A PATTERN RECOGNITION APPROACH TO SIGNAL TO NOISE ...

2017 ASEE Annual Conference & Exposition (2017)

Peter Adeyemi Awolumate P.A, Mitchell Rudy, Ravi P. Ramachandran, Nidhal Carla Bouaynaya, et al.

A blind approach for estimating the signal to noise ratio (SNR) of a speech signal corrupted by additive noise is ...

The AKRON-Kalman filter for tracking time-varying networks

2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (2017)

Victor Carluccio, Nidhal C. Bouaynaya and Gregory Ditzler

We propose the AKRON-Kalman filter for the problem of inferring sparse dynamic networks from a noisy undersampled set of measurements. ...