Summary
Shaon Shuvo is a tenure-track Assistant Professor in the School of Computer Science at the University of Windsor with eight years of experience bridging academic research and industrial collaborations. His work spans deep learning, computer vision, NLP, and social network analysis, with publications and awards at venues like KDD and SSDBM and funding from CIHR and NSERC. He has applied research to production-relevant problems—developing real-time vision pipelines (YOLOv9) and synthetic-data methods for automated defect detection in collaboration with Magna International. Beyond research, he mentors graduate students through structured programs and has taught and developed courses and commercial data-visualization software for industry partners. Shaon is proficient in Java, Python, C/C++, and C#, and his academic path includes a nearly completed PhD in AI from Windsor and an MSc from South Asian University. He combines rigorous theory with hands-on system building, often focusing on practical datasets and deployment challenges that accelerate adoption of AI in real-world systems.
8 years of coding experience
7 years of employment as a software developer
B.Sc (Engineering), Computer Science And Telecommunication Engineering, B.Sc (Engineering), Computer Science And Telecommunication Engineering at Noakhali Science and Technology University, Bangladesh.
M.Sc, Computer Science, M.Sc, Computer Science at South Asian University , New Delhi, India
Ph.D. in Computer Science, Artificial Intelligence, 99% (Course Works), Ph.D. in Computer Science, Artificial Intelligence, 99% (Course Works) at University of Windsor