Dr. Xin Chen is a Senior Research Scientist in the Research and Development Division of Location and Commerce, NOKIA (formerly NAVTEQ), the world leader in premium digital map, traffic and location data. Xin leads his team in automation of next generation map making using computer vision, pattern recognition, machine learning, and image processing technologies. He supervises employees, interns and teams of academic collaborators at institutions such as Carnegie Mellon University, University of Wisconsin at Madison, University of Notre Dame and Columbia University. He manages several initiatives to evaluate technology and corporations to determine their value and he has experience pitching and performing government-funded research involving various aspects of 3D Mapping, Automatic Target Recognition and biometrics-related projects. Xin’s current work at NAVTEQ focuses on automatic creation of 3D visual products. During his time at NAVTEQ, he has been awarded 1 U.S Patent, 20 invention development awards and 2010 and 2011 IMPACT awards (the most prestigious award at NAVTEQ to recognize employees making outstanding contributions).
Xin currently teaches a “Geospatial Vision and Visualization” course at the undergraduate and graduate levels as an adjunct professor and Ph.D. advisor in the Computer Science Department of the Illinois Institute of Technology. This course focuses on mobile LIDAR technologies and 3D data processing and visualization. Xin is also an adjunct assistant professor in the Electrical Engineering and Computer Science Department of Northwestern University. On the academic front, Xin has been invited to speak on next generation map making technologies at various top-notch U.S. universities. He has numerous publications in pattern recognition, GIS, computer vision and multimedia and has patents pending. Xin has served as a program chair and on the committee for several international conferences and workshops.
Computer Vision; Location-based Services (LBS); Navigation; Mobile Mapping; Biometrics; Image Processing; Pattern Recognition; Machine Learning; 3D Reconstruction; LIDAR; Computer Graphics; Geographic Information System (GIS); Artificial Intelligence; Data Mining; Multimedia; Emerging Technology Identification and Evaluation; Outsourcing and Crowd Sourcing; Advanced Driver Assistance System (ADAS).