Rate My Professor Michal Aibin

Aibin's research specializations encompass machine learning, data analytics, cognitive networking, and optical networks algorithms, with recent extensions into computer vision for real-world applications such as wildfire risk mapping, real-time search and rescue using remotely piloted aircraft systems, aircraft visual inspections, ocean medical waste detection, and endangered bird species classification. He has secured significant funding, including BCIT's largest-ever Mitacs commitment of $1.3 million for disaster resilience research interns and over $5 million total through Mitacs programs across sectors like aerospace, environmental technology, and advanced manufacturing. Key publications highlight his impact: Guide to disaster-resilient communication networks (2020), A survey on traffic prediction techniques using artificial intelligence for communication networks (2021), An overview of security challenges in communication networks (2016), Adaptive modulation and regenerator-aware dynamic routing algorithm in elastic optical networks (2015), and Traffic prediction based on machine learning for elastic optical networks (2018). More recent works include Next-Gen Remote Airport Maintenance: UAV-Guided Inspection and Maintenance Using Computer Vision (2024) and An Integrated Framework for Visualizing Area-Specific Forest Fire Risks Using UAV Imagery, Object Detection and Color Mapping Techniques (2024). Aibin received the Employee Excellence Award in Applied Research from BCIT and delivered the TEDxAbbotsford talk How to Stay Focused and Succeed in a World of Chaos in 2021. He contributes to BCIT's research committee and learning teaching centre initiatives on remotely piloted aircraft systems.