{"id":2215,"date":"2023-02-16T23:32:18","date_gmt":"2023-02-16T23:32:18","guid":{"rendered":"https:\/\/sites.wp.odu.edu\/VisionLab\/?page_id=2215"},"modified":"2026-03-06T15:03:27","modified_gmt":"2026-03-06T15:03:27","slug":"people","status":"publish","type":"page","link":"https:\/\/sites.wp.odu.edu\/VisionLab\/people\/","title":{"rendered":"People"},"content":{"rendered":"

Faculty<\/h3>
\"drKhan\"<\/a>
Dr. Iftekharuddin<\/div>
\"drCetin\"<\/a>
Dr. Cetin<\/div>
\"adrChen\"<\/a>
Dr. Chen<\/div>
\"drDiawara\"<\/a>
Dr. Diawara<\/div>
\"drLi\"<\/a>
Dr. Li<\/div>
\"drShetty\"<\/a>
Dr. Shetty<\/div>
\"drXin\"<\/a>
Dr. Xin<\/div>
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Post Doctorate<\/h3>
\"\"
Dr. Temtam<\/div>
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PhD Students<\/h3>

\"\"\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \"\"\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \"\"<\/a><\/p>

Tony\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Shibly\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Meena<\/p>

\"\"\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \"\"\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \"Walia\"<\/p>

Kwame\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Joe\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Walia<\/div>
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\"\"\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \"\"\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \"\"<\/a><\/p>

Fayaz\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Asfaqur\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Danielle<\/p>

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Masters Students<\/h3>
\"Michael\"<\/a>Michael<\/div>

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Undergraduate Students<\/h3>

\"Raphael\" <\/a><\/p>

Raphael<\/p>

<\/a><\/p>

Dr. Khan M. Iftekharuddin<\/h4>

Professor & University Eminent Scholar
Batten Endowed Chair in Machine Learning<\/p> <\/div>

Director, ODU Vision Lab
Department of Electrical and Computer Engineering<\/p>

Research areas:<\/strong> Computational modeling; AI and machine learning; Medical imaging, genomics, and proteomics analysis for precision medicine; Human-machine interaction, and Cyber-physical systems and cybersecurity<\/p> <\/div>

\"drKhan\"<\/a><\/div>
<\/div>

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 concurrently serves as director of ODU Vision Lab since 2011, and inaugural director of Institute of Data Science<\/a><\/u> since 2024, respectively. He served as an Interim Dean in Batten College of Engineering and Technology for 2021-2022. He served as Associate Dean for Research and Graduate Studies\/Innovation (ADR) for 2017 \u2013 2021 and 2022 \u2013 2023. Prior to the ADR position, Dr. Iftekharuddin served as Chair of ECE Department at ODU for 2013-2017. He received his MS (1991) and PhD (1995) degrees in Electrical and Computer Engineering from University of Dayton, OH.<\/p>

Dr. Iftekharuddin was the winner of the State Council of Higher Education for Virginia\u2019s (SCHEV) outstanding faculty award<\/em><\/strong> for the highest standards of teaching, scholarship and service in the State of VA, 2023. He has been cited among the top 2% researchers in the globe for both career long impact and single-year impact<\/em><\/strong>, Research by Stanford University, published online, 2020 – present. He is awarded Old Dominion University\u2019s 2020 Faculty Research, Scholarship and Creative Achievement Award. He obtained the best researcher award from three different academic institutions: ODU\u2019s Batten College of Engineering and Technology Research Excellence Award for 2014; University of Memphis\u2019s Herff Outstanding Faculty Research Award in the college of Engineering and Technology for 2011; and North Dakota State University\u2019s Researcher of the Year Award in college of Engineering and Architecture for 2000, respectively. His lab has consistently ranked among top four teams in Global Brain Tumor Segmentation and Patient Survivability Prediction Challenges<\/em><\/strong> co-organized by MICCAI and NCI since 2014. He has served as the PI for over $24 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.<\/p>

Dr. Iftekharuddin coauthored a\u00a0book\u00a0titled, \u201cDigital Image Processing<\/em>\u201d, in SPIE\u2019s Field Guide series. He is the principal author of about two ad fifty hundred refereed journal papers and conference proceedings; and eleven book chapters respectively. He us a co-inventor of\u00a0four US patents<\/em>. He further has\u00a0two patent applications pending<\/em>.<\/p>

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<\/em> of an annual conference on Photonic Devices and Algorithms<\/em> for Computing in SPIE’s International Symposium on Optical Science, Engineering and Instrumentation (1999-2007) and Optical Information Processing<\/em> since 2008. He has been serving as the Chair <\/em>of IEEE Computational Intelligence Society\u2019s Vision and Speech Task<\/em> force 2007 – 2018. He served as a senior editor for Optical Engineering journal (2017 \u2013 2023). He currently serves as an associate editor several 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, Medical Imaging (SPIE), Applied Optics, and Artificial Intelligence Review. Earlier he served as an associate editor for the following journals: Optical Engineering, (2010 \u2013 2023), International Journal of Image Processing (2008 \u2013 2018) and International Journal of Tomography & Statistics (2006 – 2016)<\/em>. He also serves on the editorial board of the Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2012 – 2020)<\/em>. He served as a coeditor for multiple journal special issues including Applied Optics<\/em>, Optical Engineering,<\/em> Optics and Laser Technology, <\/em>and Digital Signal Processing<\/em>.<\/p>

He had been invited to serve as a charter member for NIH\u2019s\u00a0Biomedical Computing and Health Informatics (BCHI)<\/em>\u00a0study section (2009- 2013) and\u00a0Biomedical Imaging Technology (BMIT)<\/em>\u00a0study section (2015-2019), respectively. He also routinely serves on many NIH\u2019s panels in Imaging, Data Analytics, Alzheimer and Cancer, and NSF\u2019s EPAS, S&CC, CPS, SCH, IIS and other<\/em>\u00a0panels, NASA, NSERC (Canada), Swiss National Foundation, and ARO on a regular basis. He further reviewed Center grants for NSF and NIH.<\/p>

He is an elected fellow of AIMBE, Optica (OSA) and SPIE and a senior member of IEEE and NNS.<\/p>

E-mail:<\/strong> kiftekha@odu.edu <\/a>
Homepage:<\/strong> https:\/\/www.odu.edu\/directory\/people\/k\/kiftekha <\/a><\/p>

<\/a><\/p>

Dr. Mecit Cetin<\/h4>

Professor<\/p> <\/div>

Department of Civil and Environmental Engineering<\/p>

Research areas:<\/strong> Applications of machine learning, Intelligent Transportation Systems (ITS), connected and automated vehicles, modeling and simulation of traffic operations<\/p> <\/div>

\"drCetin\"<\/a><\/div>
<\/div>

Dr. Cetin is a Professor at the Civil and Environmental Engineering (CEE) Department at ODU and the Batten Chair in Transportation Systems and serves as the Director of Transportation Research Institute (TRI). He conducts research on Intelligent Transportation Systems (ITS), applications of machine learning in ITS, connected and automated vehicles (CAVs), modeling and simulation of traffic operations, system state prediction, and sensor fusion. Dr. Cetin has served as PI or CoPI on numerous projects totaling about $10M since joining ODU including an NCHRP project on Implementing and Leveraging Machine Learning at State DOTs. He received funding from various agencies including the NSF, USDOT, TRB, NOAA, FHWA\u2019s TFHRC, VDOT, SCDOT, City of Virginia Beach, and others. Dr. Cetin published more than 100 papers in peer-reviewed journals and international conference proceedings. Dr. Cetin has also been serving the professional community for more than 20 years. He served on the TRB Committee on Artificial Intelligence and Advanced Computing Applications (AED50) for 12 years and the TRB Committee on Urban Transportation Data and Information Systems (AED20) for nine years. He chaired or co-chaired various subcommittees and activities for these committees including numerous TRB workshops on machine learning and big data. He served as the paper review chair for AED20 and managed the review process for ~45-60 papers\/year (2015-2018). He is serving as an associate editor for two journals: Journal of Intelligent Transportation Systems and Data Science in Transportation. Dr. Cetin received his Ph.D. degree in Transportation Engineering from Rensselaer Polytechnic Institute (RPI) in 2002. Prior to joining ODU, Dr. Cetin had worked as an assistant professor for four years in the Department of Civil and Environmental Engineering at the University of South Carolina (USC).<\/p>

E-mail:<\/strong> mcetin@odu.edu <\/a>
Homepage:<\/strong> http:\/\/www.tri-odu.org\/meet-the-director.html <\/a><\/p>

<\/a><\/p>

Dr. Chung-Hao Chen<\/h4>

Associate Professor<\/p> <\/div>

Department of Electrical and Computer Engineering<\/p>

Research areas:<\/strong> Robotics, automated surveillance systems, pattern recognition, image processing, artificial intelligent systems, data analysis and mining, and network performance analysis<\/p> <\/div>

\"\"<\/a><\/div>
<\/div>

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.<\/p>

E-mail:<\/strong> cxchen@odu.edu <\/a>
Homepage:<\/strong> http:\/\/www.odu.edu\/~cxchen\/ <\/a><\/p>

<\/a><\/p>

Dr. Norou Diawara<\/h4>

Professor of Statistics<\/p> <\/div>

Department of Mathematics and Statistics<\/p>

Research areas:<\/strong> Spatio-temporal estimation methods, Discrete choice modelling, Functional distributions<\/p> <\/div>

\"drDiawara\"<\/a><\/div>
<\/div>

Dr. Diawara received his B.S. in Science at the University Cheick Anta Diop in Dakar, Senegal, then his Ma\u00eetrise in Mathematics at University of Le Havre, France. He then completed his Master\u2019s in Mathematics and Statistics at University South Alabama, Mobile, Alabama and his Ph.D. in Statistics at Auburn University in Auburn, Alabama in 2006. He joined ODU then.<\/p>

His research falls in the area of Applied Statistics, and it can be classified into two main areas: (1) Spatio-temporal estimation methods and (2) Discrete choice modelling. It includes estimation of the spatio-temporal behaviors, time to event, and visualization with time series data. Such research interests are needed for statistical pattern recognition with the use of copulas and spatial-temporal models. With the high volume of data, the analytic prospects in medical and engineering applications, statistics becomes much needed tool in dynamic technological and scientific advancements. Teaching is also a big part of his profession. He has a tremendous joy in seeing the faces of students when all of a sudden, they realize they can do the analysis, understand the results and meaning behind.<\/p>

E-mail:<\/strong> ndiawara@odu.edu <\/a>
Homepage:<\/strong> https:\/\/ww2.odu.edu\/~ndiawara\/ <\/a><\/p>

<\/a><\/p>

Dr. Jiang Li<\/h4>

Professor<\/p> <\/div>

Department of Electrical and Computer Engineering<\/p>

Research areas:<\/strong> Machine learning, computer-aided medical diagnosis systems, medical signal\/image processing, and neural networks<\/p> <\/div>

\"drLi\"<\/a><\/div>
<\/div>

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 Spring 2007. 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:<\/strong> jli@odu.edu <\/a>
Homepage:<\/strong> http:\/\/www.ece.odu.edu\/~jli\/<\/a><\/p>

<\/a><\/p>

Dr. Sachin Shetty<\/h4>

Professor<\/p> <\/div>

Virginia Modeling, Analysis & Simulation Center<\/p>

Research areas:<\/strong> Computer networking, network security, machine learning<\/p> <\/div>

\"drCetin\"<\/a><\/div>
<\/div>

Sachin Shetty is an Associate Director in the Virginia Modeling, Analysis, and Simulation Center (VMASC) at Old Dominion University. He holds a joint appointment as Professor in the Department of Computational Modeling and Simulation Engineering. Sachin Shetty received his PhD in Modeling and Simulation from the Old Dominion University in 2007 under the supervision of Prof. Min Song. Prior to joining Old Dominion University, he was an Associate Professor with the Electrical and Computer Engineering Department at Tennessee State University. He was also the associate director of the Tennessee Interdisciplinary Graduate Engineering Research Institute and directed the Cyber Security laboratory at Tennessee State University. He also holds a dual appointment as an Engineer at the Naval Surface Warfare Center, Crane Indiana. His research interests lie at the intersection of computer networking, network security and machine learning. His laboratory conducts cloud and mobile security research and has received over $18 million in funding from National Science Foundation, Air Office of Scientific Research, Air Force Research Lab, Office of Naval Research, Department of Homeland Security, Department of Energy, Office of Undersecretary of Defense for Research and Engineering, MITRE, Commonwealth of Virginia, Sentara Healthcare and Boeing. He is the site lead on the Department of Defense Cyber Security Center of Excellence, Department of Defense Artificial Intelligence Center of Excellence, the Department of Homeland Security National Center of Excellence, the Critical Infrastructure Resilience Institute (CIRI), and Department of Energy, Cyber Resilient Energy Delivery Consortium (CREDC). Recently, he has developing blockchain empowered solutions to address cybersecurity issues in distributed systems for the Department of Defense, Department of Energy and Sentara Healthcare. He serves as the chair for the IEEE P2418.6 Internet of Medical Things. He has edited a book entitled \u201cBlockchain for Distributed Systems\u201d for Wiley-IEEE Press.<\/p>

E-mail:<\/strong> sshetty@odu.edu<\/a>
Homepage:<\/strong> https:\/\/sics-c.org\/sachin-shetty\/<\/a><\/p>

Dr. ChunSheng Xin<\/h4>

Professor<\/p> <\/div>

Department of Electrical and Computer Engineering<\/p>

Research areas:<\/strong> AI security and privacy, mobile computing, optical networks, networked computing, mobile and IoT security<\/p> <\/div>

\"drCetin\"<\/a><\/div>
<\/div>

Dr. ChunSheng Xin is a Professor in the School of Cybersecurity and Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, Virginia. He received the Ph.D. degree in Computer Science and Engineering from the State University of New York at Buffalo, Buffalo, NY, USA, in 2002. His research interests include AI security and privacy, mobile computing, optical networks, networked computing, mobile and IoT security. Dr. Xin has received over 40 external grants, with the total amount more than $14 million, from NSF, NSA, ONR, AFRL, NIST, etc. His research findings have been published over 100 papers in leading journals and conferences, including three Best Paper Awards from IEEE PerCom, Globecom, and ICCCN. He has published one technical book on wireless networks and contributed several book chapters in professional books. He also received two patents on IoT security, and control algorithms for optical networks, respectively. He has served as Co-Editor-in-Chief of an international journal and Associate Editors of several journals including IEEE Transactions on Mobile Computing. He has served as Symposium\/Track Chairs of multiple international conferences including IEEE Globecom, ICCCN, and also served in the technical program and organization committees of several technical conferences\/workshops, including IEEE Infocom. He has been an external consultant on cybersecurity for industry and academia. Dr. Xin is an IEEE senior member.<\/p>

E-mail:<\/strong> cxin@odu.edu<\/a>
Homepage:<\/strong> https:\/\/ww1.odu.edu\/eng\/programs\/ccni <\/a><\/p>

Dr. Ahmed Temtam<\/h4>

Post Doctoral Research Associate<\/p> <\/div>

Department of Electrical and Computer Engineering<\/p>

Research areas:<\/strong> Deep learning, Image processing and analysis, Spectrum Sensing, Cognitive Radio Networks, MIMO systems<\/p> <\/div>

\"DrTemtam\"<\/a><\/div>
<\/div>

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,\u00a0Cognitive Radio\u00a0Networks, MIMO systems.<\/p>

Publications:<\/strong><\/p>