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Emre Özdemir
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Emre Özdemir is a joint PhD student at 3D Optical Metrology Unit of Bruno Kessler Foundation (FBK - Trento, Italy) and Skolkovo Institute of Technology (Skoltech - Moscow, Russia). His research interests include photogrammetry, machine learning, point cloud processing, image processing, and geographical information systems.
Emre has his MSC degree from the Department of Geomatics Engineering of Izmir Katip Celebi University on the topic 'A Stereophotogrammetric Approach for Driver Assistance Systems' in 2015. He has his BSc from the Department of Geomatics Engineering of Istanbul Technical University on the topic 'GIS-Based Aeronautical Chart Project' in 2012.
Professional Experience:
2018 – … 3D Optical Metrology, Fondazione Bruno Kessler, Trento, Italy
2019 – 2020 Center for Entrepreneurship and Innovation, Skoltech, Moscow, Russia
2016 – 2018 İstanbul Technical University, Graduate School of Science, Engineering and Technology, Geomatics Engineering Department, Research Assistant
2013 – 2016 İzmir Kâtip Çelebi University, Faculty of Engineering and Architecture, Geomatics Engineering Department, Research Assistant
2012 – 2013 Harmoni Real Estate Appraisement and Consultancy Inc., Assistant Specialist
Education:
2018 – … Fondazione Bruno Kessler, 3D Optical Metrology (Trento/Italy) / Skolkovo Institute of Technology (Skoltech - Moscow/Russia), Joint PhD
2016 – 2018 İstanbul Technical University, Geomatics Engineering Doctorate Program (Aborted)
2013 – 2015 İzmir Kâtip Çelebi University, Geomatics Engineering Master Program
2008 – 2012 İstanbul Technical University, Geomatics Engineering Program
Thesis:
PhD, 2021 (expected): 3D City Modeling and 3D Cadastre (Supervisor: Prof. Dr. Fabio Remondino (FBK), Assoc. Prof. Dr. Alessandro Golkar (Skoltech))
MSc, 2015: A Stereophotogrammetric Approach for Driver Assistance Systems (Supervisor: Assoc. Prof. Dr. Özşen Çorumluoğlu)
BSc, 2012: GIS-Based Aeronautical Chart Project (Supervisor: Prof. Dr. Tahsin Yomralıoğlu)
Recent Publications:
Farella, E.M.; Özdemir, E.; Remondino, F., 2021, 4D Building Reconstruction with Machine Learning and Historical Maps, Applied Sciences
Özdemir, E., Remondino, F., and Golkar, A., 2019: Aerial Point Cloud Classification with Deep Learning and Machine Learning Algorithms, ISPRS Archives, GeoSpatial Conference 2019 – Joint Conferences of SMPR and GI Research, 12–14 October 2019, Karaj, Iran
Özdemir, E., Toschi, I., Remondino, F., 2019: A Multi-Purpose Benchmark for Photogrammetric Urban 3D Reconstruction in a Controlled Environment, ISPRS Archives, Workshop on the Evaluation and Benchmarking Sensors, Systems and Geospatial Data in Photogrammetry and Remote Sensing, 16-20 September 2019, Warsaw, Poland
Özdemir, E., Remondino, F., 2019: Classification of Aerial Point Clouds With Deep Learning, ISPRS Archives, Geospatial Week, 10–14 June 2019, Enschede, The Netherlands
Özdemir, E., Remondino, F., 2018: Segmentation of 3D Photogrammetric Point Cloud For 3D Building Modeling, ISPRS Archives, 13th 3D GeoInfo Conference, 1–2 October 2018, Delft, The Netherlands
