People

Research Scientists and Graduate Students

[Vijayan K. Asari]

Postdoctoral Researcher

Research Students

Former PhD Students

PhD Electrical Engineering

Graduation: Spring 2022 (Dissertation Defense: April 12, 2022)

Dissertation: GlacierNet Variant for Large Scale Glacier Mapping


PhD Electrical Engineering

Graduation: Spring 2022 (Dissertation Defense: April 11, 2022)

Dissertation: View-Agnostic Point Cloud Generation


PhD Electrical Engineering

(Co-advisor:  Dr. Keigo Hirakawa )

Graduation: Summer 2021 (Dissertation Defense: June 11, 2021)

Dissertation: High Speed Imaging with Less Data


PhD Electrical Engineering

(Co-advisor: Dr. Bradley Ratliff)

Graduation: Fall 2020 (Dissertation Defense: October 30, 2020)

Dissertation: A Conditional Generative Adversarial Network Demosaicing Strategy for Division of Focal Plane Polarimeters


PhD Electrical Engineering

(Co-advisor: Dr. Ju Shen)

Graduation: Fall 2019 (Dissertation Defense: November 22, 2019)

Dissertation: Attention Based Temporal Convolutional Neural Network for 3D Human Pose Estimation and Reconstruction


PhD Electrical Engineering

Graduation: Fall 2018 (Dissertation Defense: November 07, 2018)

Dissertation: Adaptive Fusion Approach for Multiple Feature Object Tracking


PhD Electrical Engineering

Graduation: Fall 2018 (Dissertation Defense: October 30, 2017)

Dissertation: Multi-Hypothesis Approach for Efficient Human Detection in Complex Environment


PhD Electrical Engineering

Graduation: Fall 2017 (Dissertation Defense: May 05, 2017)

Dissertation: High Order Volumetric Directional Pattern for Robust Face Recognition


PhD Electrical Engineering

Graduation: Spring 2017 (Dissertation Defense: May 05, 2017)

Dissertation: Convolutional Polynomial Neural Network for Improved Face Recognition


PhD Electrical Engineering

Graduation: Fall 2016 (Dissertation Defense: November 11, 2016)

Dissertation: Progressively Expanded Neural Network for Automatic Material Identification in Hyperspectral Imagery


PhD Electrical Engineering

Graduation: Fall 2015 (Dissertation Defense: November 20, 2015)

Dissertation: A Self-Tunable Transformation Function for Enhancement of Images Captured in Complex Lighting and Hazy Weather Conditions


PhD Electrical Engineering

Graduation: Fall 2015 (Dissertation Defense: October 23, 2015)

Dissertation: Hierarchical Auto-associative Polynomial Network for Deep Learning of Complex Manifolds


PhD Electrical Engineering

Graduation: Spring 2015 (Dissertation Defense: April 10, 2015)

Dissertation: Volumetric Change Detection using Uncalibrated 3D Reconstruction Models

PhD Electrical Engineering

Graduation: Spring 2015 (Dissertation Defense: April 02, 2015)

Dissertation: Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos Using Deep Networks


PhD Electrical Engineering

Graduation: Spring 2015 (Dissertation Defense: March 26, 2015)

Dissertation: Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments


PhD Electrical Engineering

Graduation: Spring 2014 (Dissertation Defense: April 07, 2014)

Dissertation: Rotation Invariant Histogram Features for Object Detection and Tracking in Aerial Imagery


PhD Electrical Engineering

Graduation: Fall 2013 (Dissertation Defense: November 15, 2013)

Dissertation: An Approach for the Extraction of Thermal Facial Signatures for Evaluating Threat and Challenge Emotional States


PhD Electrical Engineering

Graduation: Fall 2013 (Dissertation Defense: November 08, 2013)

Dissertation: Robust Feature-based Reconstruction Technique to Remove Rain from Video


PhD Electrical Engineering

Graduation: Summer 2011 (Dissertation Defense: July 27, 2011)

Dissertation: Hull Convexity Defect Features for Human Action Recognition


PhD Electrical Engineering

Graduation: Summer 2011 (Dissertation Defense: July 21, 2011)

Dissertation: Multimodal Recognition Using Simultaneous Images of Iris and Face with Opportunistic Feature Selection


PhD Electrical Engineering

Graduation: Summer 2011 (Dissertation Defense: July 14, 2011)

Dissertation: Locally Tuned Nonlinear Manifold for Person Independent Head Pose Estimation


Former PhD Students @ Old Dominion University


PhD Electrical and Computer Engineering

Graduation: Spring 2012 (Dissertation Defense: March 20, 2012)

Dissertation: An Efficient Boosted Classifier Tree-Based Feature Point Tracking System for Facial Expression Analysis


PhD Electrical and Computer Engineering

(Co-advisor: Dr. Mohammad A. Karim)

Dissertation Defense: February 03, 2012

Dissertation: Robust Face Representation and Recognition Under Low Resolution and Difficult Lighting Conditions


PhD Electrical and Computer Engineering

(Co-advisors: Dr. Mohammad A. Karim and Dr. Jiang Li )

Graduation: Spring 2012 (Dissertation Defense: November 07, 2011)

Dissertation: Creation of a Large Scale Face Dataset Using Single Training Image


PhD Electrical and Computer Engineering

Graduation: Spring 2011 (Dissertation Defense: March 25, 2011)

Dissertation: Learning Local Features Using Boosted Trees for Face Recognition


PhD Electrical and Computer Engineering

Graduation: Spring 2010 (Dissertation Defense: March 01, 2010)

Dissertation: Wavelet Based Enhancement Technique for Visibility Improvement of Digital Images

Currently with the Turkish Air Force Academy, Istanbul, Turkey


PhD Electrical and Computer Engineering

Graduation: Fall 2009 (Dissertation Defense: September 09, 2009)

Dissertation: A Subspace Projection Methodology for Nonlinear Manifold Based Face Recognition

Currently with National Institute of Technology Kozhikode, Kerala, India


PhD Electrical and Computer Engineering

Graduation: Fall 2008 (Dissertation Defense: October 24, 2008)

Dissertation: Design of High-Speed Architecture for Stabilization of Video Captured under Non-Uniform Lighting Conditions


PhD Electrical and Computer Engineering

Graduation: Fall 2007 (Dissertation Defense: November 14, 2007)

Dissertation: Power Aware Design Methodologies for FPGA Based Implementation of Video Processing Systems

Currently with The United States Naval Academy, Annapolis, MD (Faculty in ECE Department)


PhD Electrical and Computer Engineering

Graduation: Fall 2007 (Dissertation Defense: May 10, 2007)

Dissertation: Neighborhood Defined Feature Selection Strategy for Improved Face Recognition in Different Sensor Modalities

Currently with Symetix, Walla Walla, WA


PhD Electrical and Computer Engineering

Graduation: Summer 2006 (Dissertation Defense: May 3, 2006)

Dissertation: Learning as a Nonlinear Line of Attraction for Pattern Association, Classification and Recognition

Currently with Behavioral Recognition Systems Inc., Houston, TX


PhD Electrical and Computer Engineering

Graduation: Spring 2006 (Dissertation Defense: December 12, 2005)

Dissertation: Multimodal Enhancement Techniques for Visibility Improvement of Digital Images

Currently with Samsung Electronics Inc., Irvine, CA

Former MS Students

MS Electrical Engineering

Graduation: Spring 2024 (Thesis Defense: April 17, 2024)

Thesis: Spatial-Spectral W-Net: Exploratory Unsupervised Hyperspectral Image Segmentation


MS Computer Engineering

Graduation: Summer 2022 (Thesis Defense: July 20, 2022)

Thesis: Residues in Succession U-Net for Fast and Efficient Segmentation


MS Computer Engineering

Graduation: Spring 2022 (Thesis Defense: April 19, 2022)

Thesis: Space Object Detection and Monitoring Using Persistent Wide Field of View Camera Arrays


MS Computer Engineering

Graduation: Spring 2022 (Thesis Defense: April 13, 2022)

Thesis: A 2D/3D Feature-Level Information Fusion Architecture for Remote Sensing Applications 


MS Computer Science

(Co-advisor: Dr. Tam Nguyen)

Graduation: Fall 2020 (Thesis Defense: December 10, 2020)

Thesis: Advanced UNet for 3D Lung Segmentation and Applications


MS Computer Engineering

Graduation: Fall 2020 (Thesis Defense: November 23, 2020)

Thesis: Feature Extraction Based Iterative Closest Point Registration for Large Scale Aerial Lidar Point Clouds


MS Computer Engineering

Graduation: Summer 2020 (Thesis Defense: July 23, 2020)

Thesis: Semi Supervised Learning for Accurate Segmentation of Roughly Labeled Data


MS Computer Engineering

Graduation: Summer 2019 (Thesis Defense: August 05, 2019)

Thesis: Quaternion Temporal Convolutional Neural Networks


MS Computer Engineering

Graduation: Fall 2018 (Thesis Defense: November 12, 2018)

Thesis: Multi-Task Learning SegNet Architecture for Semantic Segmentation


MS Electrical Engineering

Graduation: Spring 2018 (Thesis Defense: March 05, 2018)

Thesis: Effect of Enhancement on Convolutional Neural Network Based Multi-View Object Classification


MS Electrical Engineering

Graduation: Fall 2017 (Thesis Defense: November 02, 2017)

Thesis: Hierarchical Auto-associative Polynomial based Convolutional Neural Network (HAP-CNN)


MS Electrical Engineering

Graduation: Spring 2017 (Thesis Defense: March 31, 2017)

Thesis: Single Image Super-Resolution via Regularized Extreme Learning Regression for Imagery from Microgrid Polarimeters


MS Computer Engineering

Graduation: Fall 2016 (Thesis Defense: November 09, 2016)

Thesis: Automatic Building Change Detection Through Linear Feature Fusion and Difference of Gaussian Classification


MS Electrical Engineering

Graduation: Fall 2016 (Thesis Defense: November 21, 2016)

Thesis: Color Feature Integration with Directional Ringlet Intensity Feature Transform for Enhanced Object Tracking


MS Electrical Engineering

Graduation: Fall 2015 (Thesis Defense: November 30, 2015)

Thesis: Person Re-identification in Multi-camera Surveillance Systems


MS Electrical Engineering

Graduation: Fall 2015 (Thesis Defense: October 08, 2015)

Thesis: LiDAR Data Analysis for Automatic Region Segmentation and Object Classification


MS Electrical Engineering

Graduation: Fall 2015 (Thesis Defense: July 23, 2015)

Thesis: Directional Ringlet Intensity Feature Transform (DRIFT) for Tracking in Enhanced Wide Area Motion Imagery


MS Electrical Engineering

Graduation: Summer 2013 (Thesis Defense: July 08, 2013)

Thesis: Adaptive Weighted Local Textural Features for Illumination, Expression and Occlusion Invariant Face Recognition


MS Electrical Engineering

Graduation: Spring 2013 (Thesis Defense: April 05, 2013)

Thesis: Dense 3D Point Cloud Representation of a Scene Using Un-calibrated Monocular Vision


MS Electrical Engineering

Graduation: Spring 2013 (Thesis Defense: April 04, 2013)

Thesis: Integrated Coarse to Fine and Shot Break Detection Approach for Fast and Efficient Registration of Aerial Image Sequences


MS Electrical Engineering

Graduation: Fall 2012 (Thesis Defense: November 12, 2012)

Thesis: Local Alignment of Gradient Features for Face Photo and Face Sketch Recognition


MS Electrical Engineering

Graduation: Summer 2012 (Thesis Defense: June 28, 2012)

Thesis: Emotion Recognition Using Spatiotemporal Analysis of Electroencephalographic Signals


Former MS Students @ Old Dominion University


MS Electrical Engineering

Graduation: Spring 2011 (Thesis Defense: March 25, 2011)

Thesis: Video Stabilization Based on Speeded-Up Robust Features


MS Electrical Engineering

Graduation: Fall 2010 (Thesis Defense: July 26, 2010)

Thesis: Neighborhood Dependent Nonlinear Technique for Image Enhancement


MS Electrical Engineering

Graduation: Summer 2010 (Thesis Defense: July 26, 2010)

Thesis: Action Recognition Based on Multi-level Representation of 3D Shape


MS Electrical Engineering

Graduation: Spring 2010 (Thesis Defense: January 21, 2010)

Thesis: Selective Phase-based De-Weathering (SPDW)


MS Electrical Engineering

Graduation: Spring 2010 (Thesis Defense: January 07, 2010)

Thesis: Expression Invariant Face Recognition Using Shifted Phase-Encoded Joint Transform Correlation Technique


MS Electrical Engineering

Graduation: Spring 2009 (Thesis Defense: March 25, 2009)

Thesis: Analysis of Electroencephalogram Signals for the Identification of Mental Tasks


MS Electrical Engineering

Graduation: Summer 2008 (Thesis Defense: July 17, 2008)

Thesis: Joint Transform Correlation with a Synthetic Discriminant Function for Object Classification


MS Electrical Engineering

Graduation: Spring 2008 (Thesis Defense: April 04, 2008)

Thesis: A Weighted Modular Principal Component Analysis Approach for Face Authentication


MS Electrical Engineering

Graduation: Fall 2007 (Thesis Defense: October 25, 2007)

Thesis: A Robust Method for Multiple Face Tracking using Kalman Filter


MS Electrical Engineering

Graduation: Fall 2007 (Thesis Defense: October 16, 2007)

Thesis: Neighborhood Defined Adaboost Based Mixture of Color Components for Efficient Skin Segmentation


MS Electrical Engineering

Graduation: Fall 2007 (Thesis Defense: September 27, 2007)

Thesis: An Adaptive and Non-Linear Technique for Enhancement of High Contrast Images


MS Electrical Engineering

Graduation: Fall 2007 (Thesis Defense: September 25, 2007)

Thesis: A Modular Kernel Linear Discriminant Analysis of Gabor Features for Improved Face Recognition


MS Electrical Engineering

Graduation: Spring 2007 (Thesis Defense: April 2, 2007)

Thesis: A Wavelet Based Complementary Approach for Image Enhancement


MS Electrical Engineering

Graduation: Spring 2007 (Thesis Defense: April 2, 2007)

Thesis: Long Range Target Classification in a Cluttered Environment Using Multi-Sensor Image Sequences


MS Electrical Engineering

Graduation: Spring 2007 (Thesis Defense: May 25, 2005)

Thesis: A Resolution Enhancement Technique in Digital Images


MS Electrical Engineering

Graduation: Spring 2006 (Thesis Defense: April 7, 2006)

Thesis: A Nonlinear Technique for the Enhancement of Extremely Non-uniform Lighting Images


MS Computer Engineering

Graduation: Spring 2006 (Thesis Defense: March 22, 2006)

Thesis: A Multilane Pipelined Architecture for Real-Time Enhancement of Color Video Streams


MS Computer Engineering

Graduation: Fall 2005 (Thesis Defense: August 4, 2005)

Thesis: A Multiplier-less Architecture for High Speed Computation of Multidimensional Convolution


MS Electrical Engineering

Graduation: Summer 2005 (Thesis Defense: June 16, 2005)

Thesis: A Feature Specific Modular Approach for Pose and Illumination Invariant Face Recognition


MS Electrical Engineering

Graduation: Spring 2005 (Thesis Defense: April 20, 2005)

Thesis: Image Compression by Vector Quantization of DCT Coefficients Using a Self-Organizing Neural Network


MS Computer Engineering

Graduation: SPring 2003 (Thesis Defense: April 18, 2003)

Thesis: Unidirectional CORDIC for Efficient Computation of Trigonometric and Hyperbolic Functions


MS Electrical Engineering

Graduation: Spring 2003 (Thesis Defense: April 11, 2003)

Thesis: A Combinatorial Technique for Face Detection Based on Color and Statistical Analysis


MS Computer Engineering

Graduation: Spring 2003 (Thesis Defense: March 28, 2003)

Thesis: A Pipelined Architecture for Real Time Correction of Barrel Distortion in Wide-Angle Camera Images


MS Electrical Engineering

Graduation: Spring 2003 (Thesis Defense: March 28, 2003)

Thesis: Adaptive Segmentation Techniques for Object Region Extraction from Images with Complex Lighting Environment


MS Electrical Engineering

Graduation: Spring 2003 (Thesis Defense: December 6, 2002)

Thesis: Parallel Implementation of a Face Recognition System Based on Modular PCA Approach


MS Computer Engineering

Graduation: Fall 2002 (Thesis Defense: October 30, 2002)

Thesis: Recurrent Neural Networks and Algorithms for Reconstruction of Images from Noisy and/or Partial Data


MS Computer Engineering

Graduation: Fall 2002 (Thesis Defense: October 29, 2002)

Thesis: Multilevel Neural Network Architecture for Digital Implementation of a Face Recognition System Based on Eigenface Approach

Former Research Associates