Vision Intelligence and Data Lab

Vision Intelligence, and Data Laboratory (VIDLab) at Lakehead University is steered by Dr. Akilan, T. The lab focuses on the research and development of efficient intelligent solutions for practical problems using computer vision, image processing, deep learning, machine learning, and large data analytics.

VIDLab at Lakehead University, led by Dr. Akilan, develops intelligent solutions for real world problems using computer vision, deep learning, machine learning, and large scale data analytics in various application domains.

The following are some of the ongoing research themes:

• Human pose estimation for activity recognition.
• Lidar point cloud analysis for object detection and tracking.
• Semantic segmentation for intelligent transportation, healthcare and medical diagnosis, and precision agriculture.

Ongoing Research Themes:

• Lidar-based object detection and tracking.
• Human pose estimation for activity analysis.
• Semantic segmentation in transportation, healthcare, and agriculture.

Explore Our Research Projects View Publications

Lab Director

Dr. Akilan, T.

Dr. Akilan, T. (Ph.D., P.Eng., SMIEEE) received his Ph.D. in Electrical and Computer Engineering from the University of Windsor, Canada. He is an Associate Professor in the Department of Software Engineering at Lakehead University, Thunder Bay, ON, Canada. His research interests include image/video processing, information fusion, large-data analysis, object/action recognition, and semantic segmentation using artificial intelligence, machine learning, deep learning, and statistical techniques.

Currently, he serves as the director of the Engineering Co-op at Lakehead University, a reviewer for several journals, including IEEE Transactions on Multimedia, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Industrial Informatics, and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology.