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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


Email: Vijayan K. Asari
Phone: 937-229-4504
Kettering Laboratories Room 261B
Website: Visit Site


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 TKM College of Engineering, University of Kerala, 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 microrobotic 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 a visiting associate professor. In 2001, at ODU, he accepted a tenure track position in electrical and computer engineering. 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.

Dr. Asari joined the University of Dayton in February 2010. He has received many awards for his teaching, research and 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. 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 600 research articles, including an edited book on wide area surveillance and more than 100 peer-reviewed journal papers, in the areas of image processing, computer vision, pattern recognition, machine learning, deep learning and high performance digital system architecture design.

He has so far supervised 27 Ph.D. dissertations and 42 M.S. theses in electrical and computer engineering. Currently, several master's and doctoral graduate students are working with him.

As Senior Member of IEEE since 2001 and Fellow of the SPIE, Dr. Asari has co-organized several IEEE and SPIE conferences and workshops. 

Selected Patents

  • Optical Pattern Recognition Technique (with Dr. Mohammad Nazrul Islam and Dr. Mohammad A. Karim), March 19, 2013, U.S. Patent 8401332.
  • Visibility Improvement in Color Video Stream (with Dr. Li Tao), September 23, 2008, U.S. Patent 7428333.
  • Color Image Characterization, Enhancement and Balancing (with Dr. Ming-Jung Seow), April 22, 2008, U.S. 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

Courses Taught

  • ECE 499 Machine Learning
  • ECE 567 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


  • 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)
  • 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