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RSPSoc Student Profile: Marc Bartels

Occupation: Postdoctoral Associate

Interests: LIDAR, Data Fusion, Segmentation, Classifcation, Inverse and Forward Problem, Close Range Photogrammetry

Bio: I am a Postdoctoral Associate at the Department of Radiology, Division of Molecular Imaging at Baylor College of Medicine in Houston, Texas, USA. My current research is on instrumentation for Frequency Domain and Continuous Wave Near Infrared Fluorescence Optical Tomography (transmission and reflectance mode) for lymphatic diseases and metastasis detection. Currently, I am working on near infra-red optical real-time drug distribution monitoring for breast cancer in small animals. By fusing other imaging modalities such as X-ray CT my research interests also cover close range photogrammetry. Education * PhD, Computer Science, Reading University, UK, 2008 * MSc, Network Centred Computing, Reading University, UK, * 2004 * Dipl.-Ing. (FH), Telecommunications Engineering, FHTW Berlin, Germany, 2004 Awards * PhD Thesis: RSPSoc Student Prize, 2008 * MSc Thesis: VDE-ETV Student Award, 2005 * WMIC Travel Stipend, Kyoto, Japan, 2010 * NIH/ NIBIB Travel Award at the 5th IEEE ISBI, 2008 * Poster Paper Prize Merit Award at the AC of RSPSoc, Cambridge, UK, 2006 * RSPSoc Travel Bursary for the ICPR 2006, Hong Kong, China, 2006 * Conference Student Stipend for ICPR 2006, Hong Kong, China, 2006 * RETF Studentship, University of Reading, UK, 2004 * Best Graduate of Telecommunications Engineering, FHTW, Berlin, WS 2004/2005

University: Baylor College of Medicine

Research: Terrain Feature Classification of LIght Detection And Ranging (LIDAR) Data

Details of Research: I am a PhD student in the Computational Vision Group at the School of Systems Engineering, University of Reading. My primary research is concerned with terrain feature classification of LIght Detection And Ranging (LIDAR) data. Supervised by Dr. Hong Wei and Dr. James Ferryman, my project involves the two research fields of pattern recognition and remote sensing using LIDAR data.

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