Khushdeep Singh Mann
About Khushdeep Singh Mann
Khushdeep Singh Mann is a Research Engineer currently working at Inria in Grenoble, France. He has extensive experience in autonomous systems, having held various research positions across Europe and India, and has contributed significantly to advancements in urban traffic scenarios and object detection technologies.
Work at Inria
Khushdeep Singh Mann has been employed as a Research Engineer at Inria since 2021. In this role, he focuses on developing advanced algorithms and models for autonomous systems. His work includes designing a sensor fusion model that integrates event-based and frame-based cameras, which significantly enhances object detection capabilities. Mann has also been involved in the PRISSMA project, where he contributes to the design of formal validation methodologies for probabilistic perception and prediction methods.
Previous Experience in Autonomous Systems
Prior to his current position, Mann worked at EIT Digital from 2018 to 2021 as part of the Autonomous Systems team. He contributed to various projects that involved applying machine learning techniques to improve autonomous system functionalities. His experience also includes a role as a Research Assistant at the Center For Robolution in 2018, where he focused on research related to robotics and automation.
Education and Expertise
Khushdeep Singh Mann holds multiple degrees in the field of Autonomous Systems. He earned a Master's degree from KTH Royal Institute of Technology in 2019 and another Master's degree from Technische Universität Berlin in 2020. Additionally, he completed a Bachelor of Engineering in Electronics & Communication Engineering from Visvesvaraya National Institute of Technology in 2017. His academic background is complemented by practical experiences, including internships and research projects that have honed his skills in machine learning and data-driven methodologies.
Research Contributions
Mann has made significant contributions to the field of autonomous driving and urban traffic simulation. He developed a spatio-temporal prediction network using LSTMs to forecast occupancy in dynamic urban environments. His research also includes applying Variational Auto-Encoders for dimensionality reduction and leveraging generative models for complex urban scenarios. Mann has released an occupancy grid dataset to support research in autonomous driving and validated his sensor fusion model on the DSEC dataset.
Internships and Early Career
Mann's early career includes various internships that provided foundational experience in research and development. He completed a Summer Research Internship at the University of Plymouth in 2016 and a Winter Internship at Visvesvaraya National Institute of Technology in 2015. Additionally, he served as a Student Assistant at the Max Planck Institute for Intelligent Systems and at the University of Tübingen, where he worked on projects related to autonomous systems.