GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks

He obtained his Ph.D. in Electrical Engineering from Eindhoven University of Technology in 2016. His research interests include applications of deep learning in positioning, navigation and RF signal processing systems. Davide Belli received his M.S. degree in Artificial Intelligence from the University of Amsterdam in 2019. He is currently a Senior Machine Learning Researcher at Qualcomm AI Research. His research interests include deep learning for the visual and RF domain, model personalization, and graph representation learning. Bence Major is a Staff Engineer at Qualcomm AI Research, leading a research team in the use of artificial intelligence for RF sensing and positioning. His research work focuses on non-visual sensory data, such as radar, ultrasound, and wireless signals. He received his M.S. degree in Computer Science from the Budapest University of Technology and Economics. Songwon Jee received his M.S. degree in Electrical Engineering from Stanford University in 2016. He is currently a Senior Staff Engineer in Location Technology Team at Qualcomm Technology Inc. His research interests include the application of deep learning for location technology involving GNSS, sensors, and wireless technologies. Himanshu Shah received his M.S. and Ph.D. degrees in Electrical Engineering from Arizona State University in 2004 and 2009 respectively.