Mrigank Rochan

Dr. Mrigank Rochan is an Assistant Professor in the Department of Computer Science at the University of Saskatchewan. Previously, he served as a Senior Researcher in Huawei Noah's Ark Lab's Autonomous Driving Perception team. He holds a Ph.D. and M.Sc. from the University of Manitoba (2020 and 2016) and a B.Tech. from Amrita University, India (2011). His research focuses on Deep Learning applications in Computer Vision, including video highlight detection, domain adaptation, and autonomous systems perception. Notable awards include the 2020 CIPPRS John Barron Doctoral Dissertation Award and the 2024 Google PaliGemma Academic Program Award.

Education

• Ph.D. in Computer Science, University of Manitoba, Canada (2020)
• M.Sc. in Computer Science, University of Manitoba, Canada (2016)
• B.Tech. in Computer Science and Engineering, Amrita Vishwa Vidyapeetham University, India (2011)

Research Interests

His work emphasizes unsupervised learning techniques, domain adaptation for autonomous systems, and multimodal learning (e.g., audio-visual fusion). Recent projects include improving LiDAR-based 3D object detection and developing adaptive crowd counting models. He explores video summarization methods and cross-modal networks for referring segmentation.

Grants & Awards

• NSERC Discovery Grant (2024)
• Google PaliGemma Academic Program Award (2024)
• CIPPRS John Barron Doctoral Dissertation Award (2020)

Advisees & Teaching

He teaches CMPT 489/828: Deep Learning and CMPT 318: Data Analytics. While no named students are listed, his publications suggest active collaboration with graduate researchers like Zahidul Islam, Sujoy Paul, and Linwei Ye.

Labs & Collaborations

Prior work at Huawei's Autonomous Driving Perception team informs his current focus on real-world perception challenges. His lab at USask likely addresses interdisciplinary AI applications in vision systems.