Sourav Garg

Dr. Sourav Garg is a Research Fellow at QUT's School of Electrical Engineering and Robotics, affiliated with the QUT Centre for Robotics and the Australian Centre for Robotic Vision (ACRV). He holds a PhD from QUT (2019) and specializes in robotic vision, with a focus on visual place recognition, scene understanding, and robot navigation. His research emphasizes practical applications, such as localization using visual semantics and addressing viewpoint and scene appearance challenges.

Dr. Garg's work has been recognized with awards including the Executive Dean's Commendation for his thesis and the SAGE QUT Publication Prize. He has published extensively in top-tier venues like the International Journal of Robotics Research (IJRR), IEEE ICRA, and ECCV. His research has been featured in media outlets such as Brisbane Times and Engineers Australia.

• Education: PhD in Robotics from QUT (2019)
• Affiliations: QUT Centre for Robotics, ACRV Research Affiliate
• Research Highlights: Pioneered semantic-geometric approaches for place recognition, developed open-source tools like OpenSeqSLAM2.0, and explored multi-resolution and multi-scale fusion techniques for visual localization.

His contributions span collaborations with government organizations and industry, focusing on applications in autonomous systems, drones, and indoor robots.