Xin Chen is a Senior Engineering Manager and Research Scientist in the Research and Development Division of HERE, a Nokia company (formerly NAVTEQ, a global leader in navigation, mapping and location experiences). Xin is also the University Cooperation Ambassador for the Nokia Intellectual Property Business Unit.
Demonstrated Leadership in Cutting Edge Big Geospatial Data Research
Xin leads his team in large scale geospatial data analysis and visualization to create next generation maps using computer vision, pattern recognition, machine learning, and image processing technologies. In such capacity, he supervises full time engineers and interns, as well as teams of academic collaborators at institutions such as Carnegie Mellon, Penn State, Notre Dame, Columbia University, Illinois Institute of Technology and University of Texas at Arlington.
Deep Academic Ties and Experience Leading University Collaborations
Xin developed the framework for NAVTEQ university outreach program and grew the program during his eight years at NAVTEQ/Nokia from the ground up. Xin has significant experience drafting and negotiating university collaboration, licensing, work-for-hire and other intellectual property agreements on behalf of NAVTEQ/Nokia in connection with the university outreach program. He also serves as a principal investigator in several joint research grant proposals with universities and other corporations. Xin has secured over $600,000 funding from NAVTEQ/Nokia and structured research collaborations on big geospatial data analysis with U.S. universities.
Novel Thinking and Publication Potential is Demonstrated by Significant Patent Production
He has been awarded six U.S. Patents, 35 filed and pending patent applications since June 2013, 2010 and 2011 IMPACT awards to recognize employees making outstanding contribution (the most prestigious award at NAVTEQ), an award recognizing Significant Intellectual Property Contributors at Nokia for 2011-2012, and 2013 and 2014 company-wide Hack Week top awards for a project on 3D city model rendering and a project on HD traffic (his team placed first of over 60 teams competing company-wide globally).
Demonstrated Commitment to Academia through Adjunct Professorship at 2 Leading Chicago Area Universities: Northwestern University and the Illinois Institute of Technology
Xin currently teaches a Geospatial Vision and Visualization and a Biometrics course at the undergraduate and graduate levels as an adjunct professor in the Computer Science Department of the Illinois Institute of Technology (since Fall 2010) and in the Electrical Engineering and Computer Science Department of Northwestern University (since Fall 2012). He is also a Ph.D. advisor at IIT. Xin has been invited to speak on large scale geospatial data visualization and automatic feature extraction technologies at various top-notch U.S. universities. He has numerous publications in big geospatial data analysis and visualization, pattern recognition, computer vision, multimedia, and biometrics. Xin has served as a program chair and on the committee for several premium international conferences and workshops, leveraging both his industry and academic contacts to secure sponsorship and increase registration levels.
The Biometrics course is an extension on his Ph.D. research focused on face recognition and modelling. His pioneer infrared face recognition research made strides in overcoming the illumination challenge and in establishing the infrared modality as a viable alternative for face recognition. His comparative work involving the 2D intensity, infrared, and 3D modalities inspired him to create a stereo-based approach to face recognition that delivers superior 3D performance, and also proves inexpensive, flexible, and minimally intrusive, unlike 3D commercial scanners. This approach ultimately outperforms its closest commercial 3D counterpart in face recognition experiments.