Directory
Vijayan K. Asari
Professor; Ohio Research Scholars Endowed Chair in Wide Area Surveillance; Director, Vision Lab
Full-Time Faculty
School of Engineering: Department of Electrical and Computer Engineering
Learn more about the Vision Lab: Center of Excellence for Computational Intelligence and Machine Vision
Bio
Dr. Vijayan Asari is the University of Dayton Ohio Research Scholars Endowed Chair in Wide Area Surveillance and a Professor with the Department of Electrical and Computer Engineering. He is also the Director of the Center of Excellence for Computational Intelligence and Machine Vision (Vision Lab).
Dr. Asari began teaching as an Assistant Professor in Electronics and Communications at the University of Kerala (TKM College of Engineering), India. In 1996, he joined the National University of Singapore as a Research Fellow and led a team for the development of a vision-guided micro-robotic endoscopy system. In 1998, he joined the School of Computer Engineering at Nanyang Technological University (NTU), Singapore, and led the computer vision and image processing research activities in the Center for High Performance Embedded Systems at NTU. In August 2000, Dr. Asari joined the Department of Electrical and Computer Engineering at Old Dominion University (ODU), Norfolk, Virginia, as an Associate Professor. He was tenured in 2006 and promoted to Full Professor in May 2007. At ODU, he was also the founding director of the Computational Intelligence and Machine Vision Laboratory (ODU Vision Lab).
Dr. Asari joined the University of Dayton in February 2010. He has received many awards for his teaching, research and technical leadership including the Vision Award for Excellence in August 2017, Sigma Xi George B. Noland Award in April 2016, and the Outstanding Engineers and Scientists Award for Technical Leadership in April 2015. Dr. Asari has been selected as a Fulbright Specialist by the Fulbright Specialist Program of the U.S. Department of State’s Bureau of Educational and Cultural Affairs (ECA) and World Learning in August 2017. Dr. Asari visited the Faculty of Engineering and Water Sciences at the National University of Littoral, Santa Fe, Argentina, in November 2017 as a Fulbright Specialist. He visited the John von Neumann Faculty of Informatics at Obuda University, Budapest, Hungary in July 2018 as European Union's Erasmus+ Visiting Faculty. Dr. Asari also visited the School of Computer Science and Engineering at Nanyang Technological University, Singapore, as a Visiting Professor in September 2018. He was elected as a Fellow of SPIE (Society of Photo-Optical Instrumentation Engineers) in November 2018.
Dr. Asari has published, and co-authored with his graduate students and colleagues, more than 700 research articles, including an edited book on wide area surveillance and more than 130 peer-reviewed journal papers, in the areas of image processing, computer vision, pattern recognition, machine learning, deep learning, artificial neural networks, and high-performance digital system architecture design.
Dr. Asari has so far (2022) supervised 32 Ph.D. dissertations and 48 M.S. theses in electrical and computer engineering. Currently, several master's degree and doctoral graduate students are working with him.
Selected Patents
- Human-Automation Collaborative Tracker of Fused Object (with Dr. Terry W. Stanard, Dr. Theus H. Aspiras and Dr. Taleri L. Hammack), June 07, 2022. (US Patent US 11356599)
- Human-Automation Collaborative Tracker of Fused Object (with Dr. Terry W. Stanard, Dr. Theus H. Aspiras and Dr. Taleri L. Hammack), February 09, 2021. (US Patent US10917557)
- Optical Pattern Recognition Technique (with Dr. Mohammad Nazrul Islam and Dr. Mohammad A. Karim), March 19, 2013. (US Patent US8401332 B2)
- Visibility Improvement in Color Video Stream (with Dr. Li Tao), September 23, 2008. (US Patent 7428333)
- Color Image Characterization, Enhancement and Balancing (with Dr. Ming-Jung Seow), April 22, 2008. (US Patent 7362910)
Selected Research and Work
Wide Area Surveillance
- Visibility Improvement in Wide Area Motion Imagery (WAMI): Shadow Illumination and Single Image Super Resolution
- Image Registration and Moving Object Detection in Wide Area Motion Imagery (WAMI)
- Tracking of Vehicles and Pedestrians in Wide Area Motion Imagery (WAMI)
- Object Detection and Classification on Wide Area Motion Imagery (WAMI)
Scene Analysis and Understanding
- 3D Reconstruction from Single Moving Camera
- Video Stabilization
- Object Recognition
Human Identification
- Multi-View Face Detection
- Face Tracking
- Pose and Lighting Invariant Real-Time Face Recognition
- Iris Recognition
Human Activity Recognition
- Phase Space for Face Pose Estimation
- Human Action Recognition
- Automatic 3D Facial Expression Recognition
Video Preprocessing
- Nonlinear Techniques for Image/Video Enhancement
- Single Image Super Resolution
- Visibility Improvement of Hazy/Foggy Images
- Phase Congruency based Technique for Removal of Rain from Videos
Brain Activity Analysis
- Emotion Recognition by Spatiotemporal Analysis of EEG Signals
- EEG: Localization of Spatial Disorientation (Source Localization)
- EEG Signal Analysis for Brain-Machine Interface
Selected Honors and Awards
- Vision Award for Excellence, University of Dayton School of Engineering, August 2017
- Fulbright Scholar, U.S. Department of State’s Bureau of Educational and Cultural Affairs (ECA) and World Learning, August 2017
- Sigma Xi George B. Noland Award for Outstanding Research, UD Chapter of Sigma Xi, the Scientific Research Society, April 2016
- Outstanding Engineers and Scientists Award for Technical Leadership, Outstanding Professional Achievement Award, The Affiliate Societies Council of Dayton, April 2015
Courses Taught
- ECE 477/595 Artificial Neural Networks
- ECE 552 Visual Perception for Autonomy
- ECE 567/499 Machine Learning for Pattern Classification
- ECE 563 Image Processing
- ECE 595 Computer Vision
- ECE 595 Advanced Image Processing
- ECE 595 Advanced Digital Signal Processing
- ECE 695 Advanced Topics in Machine Learning
- ECE 695 Advanced Topics in Image Processing
- ECE 695 Advanced Topics in Computer Vision
- ECE 695 Advanced Topics in Image Understanding
- ECE 695 Advanced Topics in Object Tracking
Degrees
- Ph.D., Electrical Engineering, Indian Institute of Technology, Madras, 1994
- M. Tech, Electrical Engineering, Indian Institute of Technology, Madras, 1984
- B.Sc., Electronics and Communications Engineering, University of Kerala, India, 1978
Professional Activities
- Institute of Electrical and Electronics Engineers (IEEE)
- IEEE Computational Intelligence Society (CIS)
- IEEE Computer Society
- IEEE Circuits and Systems Society
- IEEE Systems, Man and Cybernetics (SMC) Society
- SMC Human Perception in Vision, Graphics and Multimedia Task Force
- Society of Photo-Optical Instrumentation Engineers (SPIE) Fellow
- American Society for Engineering Education (ASEE)
- IS&T Data Analytics and Marketing Task Force
Research Interests
- Signal processing
- Image processing
- Computer vision
- Pattern recognition
- Machine learning
- Artificial neural networks
- High performance and low-power digital architectures