Faculty

drKhan
Dr. Iftekharuddin
drChen
Dr. Chen
DrKrusienski
Dr. Krusienski
drLi
Dr. Li

Post Doctorate

DrBakary
Dr. Elbakary

PhD Students

Shamim Shamim
Lasitha Lasitha
Mahbub Mahbub
LinminLinmin

 

KwasiKwasi
ChesterChester
ZeinaZeina
AlexAlex

Undergraduate Students

Megan
BryanFredrick
PatrickPatrick

Dr. Khan M. Iftekharuddin

Professor

Department of Electrical and Computer Engineering
Director: ODU Vision Lab

Research areas: Signal processing, image processing, bioinformatics, pattern recognition, medical image analysis and optical computing.

drKhan

Dr. Khan M. Iftekharuddin is a professor and chair of the department of Electrical and Computer Engineering at Old Dominion University (ODU). He serves as the director of ODU Vision Lab. He is also a member of Biomedical Engineering program at ODU. He was an associate professor in the department of Electrical and Computer Engineering at the University of Memphis (U of M) prior to joining ODU in fall of 2011. He also held a joint appointment with the joint graduate program in Biomedical Engineering at the U of M and University of Tennessee at Memphis. He further served on the faculty of bioinformatics program at U of M. He was an assistant professor of Computer Science and Electrical and Computer engineering at North Dakota State University (NDSU) before joining to the U of M in the fall of 2000. Dr. Iftekharuddin was a principal research engineer at Timken Research, Canton, OH before joining to NDSU. Prior to Timken, Dr. Iftekharuddin was a senior systems engineer at BDM Federal in Dayton, OH.
He obtained the best researcher award from three different academic institutions: ODU’s Frank Batten College of Engineering and Technology Research Excellence Award for 2014; UoM’s Herff Outstanding Faculty Research Award in the college of Engineering and Technology for 2011; and NDSU’s Researcher of the Year Award in college of Engineering and Architecture for 2000. Much of his research had focused on different aspects of computer vision and signal/image processing problems. Different federal and private funding agencies such as NSF, NIH, NASA, ARO, AFRL/AFOSR, DOT, DOE, the Whitaker Foundation; non-profit organizations such as St. Jude Children’s Research Hospital, Southern College of Optometry (Assisi Foundation) and Upper Great Plain Transportation Institute; and industries such as CCAM, FedEx and Timken Research have funded his research.
He is the principal author of a book in Image Processing, more than one hundred and eighty refereed journal papers and conference proceedings, and multiple book chapters on computational modeling of bio-inspired and reinforcement learning systems, stochastic computational neuroimaging analysis and machine learning for disease prognosis and prediction, intersection of genomics and radiomics in brain tumor analysis, distortion-invariant and generalized pattern recognition, human and machine centric recognition in behavioral analysis, recurrent deep networks for vision processing and face recognition, emotion detection from speech and discourse, sensor signal acquisition and modeling, and optical computing and interconnection. He is a guest co-editor for multiple special issues in Applied Optics, Optical Engineering, Signal Processing: Image Communication and Optics and Laser Technology journals. He is a conference organizer in Optics and Photonics for Information Processing in SPIE’s annual International Symposium On Optics and Photonics. He served as a lead conference chairman and organizer of an annual conference on Photonic Devices and Algorithms for Computing in the annual SPIE’s International Symposium for 1999-2006. He frequently organizes special sessions, workshops and symposiums on Biologically Inspired Computational Vision and Multimedia, Signal and Vision Processing at IEEE World Congress in Computational Intelligence (WCCI), IEEE International Joint conference in Neural Networks (IJCNN), and IEEE Symposium Series in Computational Intelligence (SSCI) conferences. He organized a session on Biomedical Signal and Image Processing at the Asilomar’06. He serves on various Technical Committees (TC) in biomedical imaging/image processing, computational vision and computing, and pattern recognition related conferences and symposiums on a regular basis. He is currently serving as an associate editor for several journals including Optical Engineering, IEEE Transaction on Image Processing, International Journal of Imaging, Open Cybernetics and Systemic Journal and International Journal of Tomography and Statistics. He is a fellow of SPIE, a senior member of both IEEE and OSA and a member of IEEE CIS.

E-mail: kiftekha@odu.edu
Homepage: https://www.odu.edu/directory/people/k/kiftekha


Dr. Chung-Hao Chen

Assistant Professor

Department of Electrical and Computer Engineering

Research areas: Robotics, automated surveillance systems, pattern recognition, image processing, artificial intelligent systems, data analysis and mining, and network performance analysis.

drChen

Dr. Chung-Hao Chen received his Ph.D. in Electrical Engineering at the University of Tennessee, Knoxville in August 2009, and his B.S. and M.S. in Computer Science and Information Engineering from Fu-Jen Catholic University, Taiwan in 1997 and 1999, respectively. After receiving his M.S. degree, he was enlisted in National Military Academy from 1999 to 2001 to fulfill his civil duty/military service. In April 2001, he joined the Panasonic Taiwan Laboratory Company, Ltd. as a research and development engineer where he remained until August 2003. In August 2009, he joined in the department of Math and Computer Science at North Carolina Central University as an assistant professor. Since August 2011, he is an assistant professor in the department of Electrical and Computer Engineering at Old Dominion University. His research interests include robotics, automated surveillance systems, pattern recognition, image processing, artificial intelligent systems, data analysis and mining, and network performance analysis.

E-mail: cxchen@odu.edu
Homepage: http://www.odu.edu/~cxchen/


Dr. Dean J. Krusienski

Assistant Professor

Department of Electrical and Computer Engineering

Research areas: Signal and image processing, machine learning, evolutionary algorithms, artificial neural networks, and biomedical and musical applications.

drKrusienski

Dean J. Krusienski is an Associate Professor of Electrical and Computer Engineering at Old Dominion University. He received the B.S., M.S., and Ph.D. degrees in electrical engineering from The Pennsylvania State University, University Park, PA, in 1999, 2001, and 2004, respectively. He completed his postdoctoral research at the New York State Department of Health’s Wadsworth Center Brain-Computer Interface (BCI) Laboratory in Albany, NY. His primary research focus is on the application of advanced signal processing and pattern recognition techniques to brain-computer interfaces, which allow individuals with severe neuromuscular disabilities to communicate and interact with their environments using their brainwaves. His research interests include decoding and translation of neural signals, digital signal and image processing, machine learning, evolutionary algorithms, artificial neural networks, and biomedical and musical applications. His research is supported by the National Science Foundation (NSF) and the National Institutes of Health (NIH).

E-mail: dkrusien@odu.edu
Homepage: http://www.odu.edu/~dkrusien/


Dr. Dean Jiang Li

Assistant Professor

Department of Electrical and Computer Engineering

Research areas: Machine learning, computer-aided medical diagnosis systems, medical signal/image processing, and neural networks.

drLi

Dr. Jiang Li received his B.S. degree in electrical engineering from Shanghai Jiaotong University, China, in 1992, the M.S. degree in automation from Tsinghua Univey, China, in 2000, and the Ph.D degree in electrical engineering from the University of Texas at Arlington, TX, in 2004. He worked as a postdoctoral fellow at the department of radiology, National Institutes of Health, from 2004 to 2006. Dr. Li joined ODU as an assistant professor in 2006. His research interests include machine learning, computer-aided medical diagnosis systems, medical signal/image processing, and neural network. His recent publications focus on computer-aided colonic polyp detection, machine learning and medical image processing. Dr. Li is a member of the IEEE and Sigma Xi.
E-mail: jli@odu.edu
Homepage: http://www.ece.odu.edu/~jli/


Dr. Mohamed Elbakary

Post Doctoral Fellow

Department of Electrical and Computer Engineering

Research areas: Image processing and analysis, target/pattern recognition, image registration, super-resolution imaging (2D/3D), intelligent systems, and multispectral/hyperspectral image processing and analysis.

DrBakary

Dr. Elbakary holds Ph.D. degree in The Electrical and Computer Engineering from The University of Arizona in December 2005 and B. S. and M. S. from The Department of The Electronics Engineering at Mansoura University, Egypt, in 1991 and 1996, respectively. After obtaining his Ph.D., he worked in projects funded by the national agencies such as DARPA and NASA. In addition to the regular sensors, Dr. Elbakary worked with advanced sensors including infrared, high-resolution satellite, and multispectral/hyperspectral sensors.
E-mail: melbakar@odu.edu


Syed Mohammad Shamim Reza

PhD student

Department of Electrical and Computer Engineering
ODU Vision Lab

Current Program: PhD Electrical and Computer Engineering.

Research Topics: Biomedical Image Processing.

Research Projects:

Advisor: Dr. Khan Iftekharuddin

Shamim

Syed M. S. Reza received the B.Sc. degree in electrical and electronics engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 2007. He is currently working toward the Ph.D. degree in electrical and computer engineering at Old Dominion University, Norfolk, VA, USA. His current research interest includes image processing focusing on medical images, automatic segmentation of brain tumors in MR Images.
E-mail: sreza002@odu.edu


Lasitha Vidyaratne

PhD Candidate

MEng, University of Nottingham.

Current Program: PhD Electrical and Computer Engineering.

Research Topics: deep learning, recurrent neural networks, unsupervised learning, reinforcement learning, brain computer interfacing, biomedical signal processing

Research Projects:

  • Neurophysiologic Analysis of Human Visual Processing and Interfacing for Automated Robot Navigation
  • Real-Time Epileptic Seizure Detection Using EEG
  • Introducing NAO

Advisor: Dr. Khan Iftekharuddin

Lasitha

Lasitha Vidyaratne is a Ph.D. candidate in the Vision Lab of the department of Electrical and Computer Engineering at the Old Dominion University, Norfolk, Virginia, USA. He received his BS and MEng degree in Electronic and Communications Engineering from the University of Nottingham, Malaysia Campus. He is currently working towards his doctoral dissertation which contributes to developing novel deep recurrent neural network architectures for complex computer vision and biomedical signal processing applications. His research interests include deep learning, recurrent neural networks, unsupervised learning, reinforcement learning, brain computer interfacing, and biomedical signal processing.
E-mail: lvidy001@odu.edu


Mahbubul Alam

PhD Candidate

B.S. in Computer Science and Engineering, Jahangirnagar University
M.S. in Computer Science and Engineering, Jahangirnagar University

Current Program: PhD Electrical and Computer Engineering.

Research Topics: Machine Learning, Deep Learning, Unsupervised feature learning, High Performance Computing, Autonomous Robotics.

Research Projects:

  • Recurrent Deep Model for Generalized Object Recognition
  • HPC Systems for Deep Models
  • Real-time Object Recognition in Humanoid Robotic Platform NAO

Advisor: Dr. Khan M. Iftekharuddin

Mahbub

E-mail: malam001@odu.edu


Linmin Pei

PhD Candidate

BS in Electrical and Electronic Engineering, East China Jiaotong University.
MS in Engineering and Technology, Norfolk State University.
Current Program: PhD Electrical and Computer Engineering.

Research Topics: Biomedical Image Processing, Mathematical modeling of brain tumor in MR images.

Research Projects:

  • Modeling and Fusion of Atlas-Based Tumor Growth and Feature-Based Models for Normal and Abnormal Brain Tissue Segmentation

Advisor: Dr. Khan Iftekharuddin

Linmin

E-mail: plmoer@gmail.com


Kwasi Afrifa

PhD Candidate

BS in Electrical and Electronics Engineering, Kwame Nkrumah University of Science and Technology.
MS in Applied Science, University of Windsor.

Current Program: PhD Electrical and Computer Engineering.

Research Topics: Computer Vision and Recognition.

Research Projects:

  • Psychology-Driven Human Movement Analysis for Crowd Sourcing

Advisor: Dr. Khan M. Iftekharuddin

Kwasi

E-mail: kafri002@odu.edu


Chester Dolph

PhD Student

BS in Electrical and Computer Engineering, Old Dominion University.
Current Program: PhD Electrical and Computer Engineering.

Research Topics: Medical Image Processing.

Research Projects:

  • Investigating Alzheimer’s disease progression using structural MRI

Advisor: Dr. Khan Iftekharuddin

Chester

E-mail: cdolp001@odu.edu


Zeina Aman Shboul

PhD Student

BS in Electronics Engineering, Yarmouk University.
MS in Electrical Engineering, Jordan University of Science and Technology.
Current Program: PhD Electrical and Computer Engineering.

Research Topics: Medical Image Processing.
Research Projects:

  • Automate Superresolution Far-Field Photostable Optical Nanoscopy (PHOTON) for Biomedical Research

Advisor: Dr. Khan Iftekharuddin

Zeina

Zeina A. Shboul is working on her Ph.D. in Electrical and Computer Engineering. She joined the Vision Lab at Old Dominion University in 2013. She received a Master’s degree in Electrical Engineering in 2011 from Jordan University of Science and Technology in Irbid, Jordan and a Bachelor’s degree in Electronics Engineering in 2007 from Yarmouk University in Irbid, Jordan. Her research interests include biomedical image processing and gene expression analysis.
E-mail: zshbo001@odu.edu


Alex Glandon

PhD Student

BS in Computer Engineering, Old Dominion University.
MS in Electrical and Computer Engineering, Old Dominion University.
Current Program: PhD Electrical and Computer Engineering.

Research Topics: Machine Learning.
Research Projects:

  • Action Recognition and Person Identification using Lidar Video

Advisor: Dr. Khan Iftekharuddin

Alex

E-mail: aglan001@odu.edu


Megan Anita Witherow

Undergraduate Student

Current Program: BS in Computer Engineering.

Research Topics: Machine Learning, Image Processing, Affective Computing.
Research Projects:

  • Real time Multi-Class Facial Expression Recognition for Robot-mediated Intervention in Autism Spectrum Disorders
  • Landmark-based Classification of Facial Expressions in Children
  • Analysis of Crowdsourced Images for Flooding Detection

Advisor: Dr. Khan Iftekharuddin

E-mail: mwith010@odu.edu


Fredrick Thomas O’Brien

Undergraduate Student

Current Program: BS in Electrical Engineering.

Research Topics: Brain Computer Interface.
Research Projects:

  • Neurophysiologic Analysis of Human Visual Processing and Interfacing for Automated Robot Navigation

Advisor: Dr. Khan Iftekharuddin

Fredrick

E-mail: fobri003@odu.edu


Patrick T. Cox

Undergraduate Student

Current Program: BS in Computer Science.

Research Topics: Medical Image Processing.
Research Projects:

  • Integration of Brain Tumor Segmentation Algorithms in 3D Slicer Toolbox

Advisor: Dr. Khan Iftekharuddin

Patrick

E-mail: pxcox003@odu.edu


Previous PhD Graduates

Dr. Manar Samad

PhD Electrical and Computer Engineering
Graduation: Spring 2016 (Dissertation Defense:May 19, 2016 ).
Dissertation: “Computational Modeling of Facial Response for Detecting Differential Traits in Autism Spectrum Disorders”.

Dr. Loc Tran

PhD Electrical and Computer Engineering
Graduation: Spring 2014 (Dissertation Defense:April 23, 2014 ).
Dissertation: “Manifold learning of large-scale data sets”.

Dr. Qun Wang

PhD Electrical and Computer Engineering
Graduation: Spring 2012 (Dissertation Defense: )
Dissertation: “Creation of Large Scale Face Dataset Based on Single Images”.

Dr. Shaheen Ahmed

PhD Electrical and Computer Engineering
Graduation: 2011 (Advisor: Dr. Iftekharuddin).
Dissertation: “An Information theoretic Approach for Feature Selection and Posterior Fossa Tumor Segmentation”

Dr. Yong June Kim

PhD Electrical and Computer Engineering
Graduation: 2011 (Advisor: Dr. Iftekharuddin)
Dissertation: “Novel Fractal Features for Improved Glaucoma Detection and Glaucomatous Progression Prediction”

Dr. Bo Jiang

PhD Electrical and Computer Engineering
Graduation: Summer 2010 (Dissertation Defense: July 21, 2010)
Dissertation: “Multi-scale Edge Detection Algorithms and Their Information-theoretic Analysis in the Context of Visual Communication”

Dr. Praveen Sankaran

PhD Electrical and Computer Engineering
Graduation: Fall 2009 (Dissertation Defense: September 14, 2009)
Dissertation: “A Subspace Projection Methodology for Nonlinear Manifold Based Face Recognition”

Dr. Atiq Islam

PhD Electrical and Computer Engineering
Graduation: 2008 (Advisor: Dr. Iftekharuddin)
Dissertation: “Computer Aided Pediatric Brain Tumor Detection, Prediction and Statistical Validation Using Structural MRI and Gene Expression Data”

Dr. Hau T. Ngo

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”

Dr. Satyanadh Gundimada

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”

Dr. Ming-Jung Seow

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”

Dr. Li Tao

PhD Electrical and Computer Engineering
Graduation: Summer 2006 (Dissertation Defense: December 12, 2005)
Dissertation: “Multimodal Enhancement Techniques for Visibility Improvement of Digital Images”