Practical intelligence, grounded in research
Vision Intelligence and Data Laboratory (VIDLab) at Lakehead University focuses on the research and development of efficient intelligent solutions for practical problems using computer vision, image processing, deep learning, machine learning, large data analytics and advanced optimization techniques.
The lab is led by a team of three accomplished faculty members: Dr. Akilan, T., Dr. Deng, Y., and Dr. Bajwa, G. Together, they combine their complementary expertise in image/video processing and object detection, network optimization and coded caching, and machine learning with data-driven solutions to drive innovative research across multiple application domains including intelligent transportation, healthcare, medical diagnosis, and precision agriculture.
Featured Research
Discover our latest breakthroughs and ongoing research projects that are making a difference.
CANAI-CRV Poster
Current research highlights, methods, and visual outcomes from VIDLab.
Conference Presentation
Chee Mei Ling (Irene) presents key contributions and talk highlights.
Thesis Defense
Full defense presentation covering methodology, experiments, and results.
Agricultural Segmentation
DAS-Conv enhanced DeepLabV3 for efficient precision agriculture segmentation.
NLP-driven Classification
Hybrid methods for fake news and bullying-related text classification.
Pavement Crack Segmentation
Attention and self-gated activation for improved crack detection accuracy.
Brain Tumor Segmentation
Multi-modal MRI segmentation with a graph attention based model.
Video Anomaly Recognition
Hybrid feature extraction and LSTM models for unusual activity detection.
Duplicate Bug Detection
LDA clustering with ML classification for fast duplicate report detection.
Recent News
Learn about our recent developments, published works, and research milestones that are shaping the future of intelligent systems.