Vijayan Asari

Background

About Vijayan Asari

Dr. Vijayan Asari is University of Dayton's ORS (Ohio Research Scholars) Endowed Chair in Wide Area Surveillance and a Professor in the Department of Electrical and Computer Engineering. He is the Director of the University of Dayton Vision Lab (Center of Excellence for Computational Intelligence and Machine Vision). Dr. Vijayan Asari is an elected Fellow of SPIE (Society of Photo-Optical Instrumentation Engineers) and a Senior Member of (Institute of Electrical and Electronics Engineers). Dr. Asari has published more than 800 research articles including 140 peer reviewed journal papers in the areas of image processing, computer vision, pattern recognition, machine learning, deep learning, artificial neural networks, and high performance embedded systems. He has supervised/mentored 32 PhD dissertations and 50 MS theses in electrical and computer engineering. Currently several graduate students are working with him in different research projects. He was awarded 5 United States patents with his former graduate students, former colleagues, and research collaborators. As leaders in innovation and algorithm development, Dr. Asari’s research team in UD Vision Lab specializes in sensor data exploitation for object detection, recognition and tracking in wide area surveillance imagery captured by visible, infrared, thermal, hyperspectral, and LiDAR (Light Detection and Ranging) sensors. Dr. Asari's research activities also include 3D scene creation from 2D video streams, 3D scene change detection, automatic visibility improvement of images captured in various weather conditions, human identification by face recognition, human action and activity recognition, and brain signal analysis for emotion recognition and brain machine interface. Various classical as well as machine learning methodologies including the advanced deep learning techniques are being used for the extraction of information from multi-sensor data and for appropriate decision making in real time. One of the significant advancements in Dr. Asari's research group has been in the development of deep learning based autonomous systems for digital pathology image analysis for abnormal region segmentation by accurate abnormality detection and classification, and prediction of abnormalities for diagnostic purposes.