Faculty

drKhan
Dr. Iftekharuddin
adrChen
Dr. Chen
drLi
Dr. Li

Post Doctorate

DrTemtam
Dr. Temtam

PhD Students

Chester Chester
Alex Alex
MeganMegan
MoniborMonibor
ShiblyShibly
KwameKwame
WaliaWalia
MeenaMeena

 

JoeJoe

 


Undergraduate Students

StephenStephen
ElijaElija

Dr. Khan M. Iftekharuddin

Professor & Associate Dean

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 Iftekharuddin is a professor and Batten Endowed Chair in Machine Learning in the department of Electrical and Computer Engineering (ECE) at Old Dominion University (ODU). He has been serving as an Interim Dean in Batten College of Engineering and Technology since 2021. He served as Associate Dean for Research and Graduate Studies (ADR) for 2017 – 2021. He concurrently serves as a director of ODU Vision Lab since 2011. Prior to the ADR position, Dr. Iftekharuddin served as Chair of ECE Department at ODU for 2013-2017. He received his MS and PhD degrees in Electrical and Computer Engineering from University of Dayton, OH.

Dr. Iftekharuddin has recently been cited among top 2% of the most cited researchers worldwide throughout their careers, 2020, Research by Stanford University. He is awarded Old Dominion University’s 2020 Faculty Research, Scholarship and Creative Achievement Award. He obtained the best researcher award from three different academic institutions: ODU’s Batten College of Engineering and Technology Research Excellence Award for 2014; University of Memphis’s Herff Outstanding Faculty Research Award in the college of Engineering and Technology for 2011; and North Dakota State University’s Researcher of the Year Award in college of Engineering and Architecture for 2000, respectively. His research interests include computational modeling, AI and machine learning, stochastic medical imaging analysis, radiogenomics for precision medicine, biologically inspired human-machine interaction and recognition, and sensing and cyberphysical system among others. His lab has consistently ranked among top four teams in Global Brain Tumor Segmentation and Patient Survivability Prediction Challenges co-organized by MICCIA and NCI since 2014. He has served as the PI for over $14 million externally funded research projects and successfully led multiple national and international collaborative research projects. Different federal and private funding agencies and industries such as NSF, NIH, NASA, ARO, AFRL, NAVY, US DOT, the Whitaker Foundation, FedEx and Timken Research among others have funded his research. He holds four US patents as co-inventor. He is author of one book, several book chapters, and nearly two hundred refereed journal and conference papers.

Dr. Iftekharuddin has organized several symposiums, special sessions and workshops on Biologically Inspired Computational Vision in IEEE and SPIE conferences since 2003. He is a lead conference chair and organizer of an annual conference on Photonic Devices and Algorithms for Computing in SPIE’s International Symposium on Optical Science, Engineering and Instrumentation (1999-2007) and Optical Information Processing since 2008. He has been serving as the Chair of IEEE Computational Intelligence Society’s Vision and Speech Task force since 2007. He serves as a senior editor for Optical Engineering journal, and associate editor for a number of journals including IEEE Transaction on IoT, IEEE Transaction on Neural Networks and Learning Systems, IEEE Transaction on Man, Machine and Cybernetics, IEEE Transaction on Image Processing, and Artificial Intelligence Review. He is an elected fellow of SPIE, a senior member of IEEE, INNS and OSA.

Dr. Iftekharuddin coauthored a book titled, “Digital Image Processing”, in SPIE’s Field Guide series. He is the principal author of about two hundred refereed journal papers and conference proceedings; and eleven book chapters respectively. He us a co-inventor of four US patents. He also has two patent applications pending. He serves as an associate editor for the following journals: Optical Engineering, (2010 – present), International Journal of Image Processing (2008 – present) and International Journal of Tomography & Statistics (2006 – Present). He also serves on the editorial board of the Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2012 – Current). He is a coeditor for multiple journal special issues including Applied Optics, Optical Engineering, Optics and Laser Technology, and Digital Signal Processing.

He had been invited to serve as charter member for NIH’s Biomedical Computing and Health Informatics (BCHI) study section (2009- 2013) and Biomedical Imaging Technology (BMIT) study section (2015-2019), respectively. He also routinely serves on many NIH’s panels in Imaging, Data Analytics, Alzheimer and Cancer, and NSF’s Energy, Power and Adaptive System (EPAS), Smart and Connect Community and other panels, NASA, NSERC (Canada), Swiss National Foundation, and ARO on a regular basis. He is a fellow of SPIE, a senior member of both IEEE and OSA.

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


Dr. Chung-Hao Chen

Associate 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. Jiang Li

Associate 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. Ahmed Temtam

Post Doctoral Research Associate

Department of Electrical and Computer Engineering

Research areas: Deep learning, Image processing and analysis, Spectrum Sensing, Cognitive Radio Networks, MIMO systems.

DrTemtam

Dr. Temtam received his Ph.D. degree in Electrical and Computer Engineering from Old
Dominion University in December 2014, Postgraduate Diploma in Microelectronic Systems
from University of Liverpool, England and M.Sc. from the Department of the Electronics
Engineering from Bradford University, England, UK, in 2002 and 2004, respectively. After
earning his M.Sc., he worked as faculty at Electrical and Electronics Engineering AlJabel
Algarbi University, Gharyan, Libya til 2009, after obtaining his Ph.D., Dr. Temtam worked at
Reliable Business Communications Inc. Virginia Beach, VA til end of 2016 also worked as an
adjunct Faculty at Electronics Engineering Technology Faculty, ECPI University, Newport
News.
His research interests include deep learning, Image processing and analysis, Spectrum
Sensing, Cognitive Radio Networks, MIMO systems.
E-mail: atemt001@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


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, Computer Vision.
Research Projects:

  • Action Recognition and Person Identification using Lidar Video

Advisor: Dr. Khan Iftekharuddin

Alex

E-mail: aglan001@odu.edu


Megan A. Witherow

PhD Student

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

Research Topics: Computer Vision, Deep Learning, Affective Computing.
Research Projects:

  • Domain Adaptation for Child Facial Expression Analysis
  • Study of Facial Expressions and Eye Gaze in Children with and without Autism Spectrum Disorder

Advisor: Dr. Khan Iftekharuddin

E-mail: mwith010@odu.edu


Md Monibor Rahman

PhD Student

B.Sc. in Electrical and Electronic Engineering, Khulna University of Engineering and Technology, Bangladesh.
Current Program: PhD Electrical and Computer Engineering.

Research Topics: Machine Learning, Deep Learning, Medical Image Processing.

Advisor: Dr. Khan Iftekharuddin

E-mail: mrahm006@odu.edu


Shibly Sadique

PhD Student

B.S. in Electrical and Electronic Engineering, University of Dhaka.
M.Sc. (Eng.) in Electrical and Electronic Engineering, University of Dhaka.

Current Program: PhD Electrical and Computer Engineering.

Research Topics: Biomedical Image Processing, Machine learning, Deep learning.

Advisor: Dr. Khan Iftekharuddin

Shibly

E-mail: msadi002@odu.edu


Kwame Ampofo

PhD Student

B.Sc. in Computer Engineering, Kwame Nkrumah University of Science and Technology.
M.Sc. in Convergence Engineering, Hanbat National University.

Current Program: PhD Electrical and Computer Engineering.

Research Topics: Computer Vision and Machine Learning.
Research Projects:

  • Analysis of Crowdsourced Images for Flooding Detection

Advisor: Dr. Khan Iftekharuddin

Kwame

E-mail: kampo001@odu.edu


Walia Farzana

PhD Student

B.Sc. in Electrical and Electronic Engineering, Chittagong University of Engineering & Technology.

Current Program: PhD Electrical and Computer Engineering.

Research Topics: Medical Image Processing, Machine Learning, Deep Learning.

Advisor: Dr. Khan Iftekharuddin

Walia

E-mail: wfarz001@odu.edu


Meena Sreekantamurthy

PhD Student

B.S. in Electrical and Computer Engineering, Virginia Commonwealth University.
M.S. in Electrical Engineering, Old Dominion University

Current Program: PhD Electrical and Computer Engineering.

Research Topics: Machine Learning, Communications.
Research Projects:

  • Automatic Classification of Modulation Schemes and Jamming Signals of Received Signals

Advisor: Dr. Khan Iftekharuddin

Meena

E-mail: msree001@odu.edu


Joe Zalameda

PhD Student

B.S. in Computer Engineering, Old Dominion University

Current Program: PhD in Electrical and Computer Engineering.

Research Topics: Machine Learning, Computer Vision.
Research Projects:

  • Trust quantification of neural networks using reinforcement learning approaches

Advisor: Dr. Khan Iftekharuddin

Joe

E-mail: jzala001@odu.edu


Stephen Lamczyk

Undergraduate Student

Current Program: BS in Computer Engineering. MS in Electrical and Computer Engineering.

Research Topics: Machine Learning, Computer Vision.
Research Projects:

  • Online machine learning for the detection of flooding in data and video streams

Advisor: Dr. Khan Iftekharuddin

Stephen

E-mail: slamc001@odu.edu


Elija Bullock

Undergraduate Student

Current Program: BS in Computer Engineering.

Research Topics: Machine Learning, Computer Vision, Neural Networks.
Research Projects:

  • Nao Robot Machine Learning

Advisor: Dr. Khan Iftekharuddin

Elija

E-mail: ebull001@odu.edu


Previous PhD Graduates

Dr. Zeina Shboul

PhD Electrical and Computer Engineering
Graduation: Spring 2020 (Dissertation Defense:May 28, 2020).
Project: “Model-Based Approach for Diffuse Glioma Classification, Grading, and Patient Survival Prediction”.

Dr. Linmin Pei

PhD Electrical and Computer Engineering
Graduation: Spring 2020 (Dissertation Defense:March 30, 2020).
Project: “Longitudinal Brain Tumor Tracking, Tumor Grading, And Patient Survival Prediction Using MRI”.

Dr. Lasitha Vidyaratne

PhD Electrical and Computer Engineering
Graduation: Fall 2019 (Dissertation Defense:November 18, 2019).
Project: “Deep Cellular Recurrent Neural Architecture For Efficient Multidimensional Time-Series Data Processing”.

Dr. Mahbubul Alam

PhD Electrical and Computer Engineering
Graduation: Fall 2018 (Dissertation Defense:November 12, 2018).
Project: “Deep Recurrent Learning For Efficient Image Recognition Using Small Data”.

Dr. Kwasi Afrifa

D.Eng. Electrical and Computer Engineering
Graduation: Fall 2017.
Project: “Statistical Analysis and Comparison of Optical Classification of Atmospheric Aerosol Lidar Data”.

Dr. Syed Reza

PhD Electrical and Computer Engineering
Graduation: Summer 2017 (Dissertation Defense:June 12, 2017).
Dissertation: “Computational Modeling for Abnormal Brain Tissue Segmentation, Brain Tumor Tracking and Grading”.

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”