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Emre Özdemir

Researcher
Short bio

Emre Özdemir is a joint PhD student at 3D Optical Metrology Unit of Bruno Kessler Foundation and Skoltech Space Center (Moscow, Russia). His research interests include photogrammetry, machine learning, point cloud processing, image processing and geographical information systems.

Emre has his MSC degree from 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 Department of Geomatics Engineering of Istanbul Technical University on the topic 'GIS Based Aeronautical Chart Project' in 2012.

Professional Experience:

2019 –  …        Center for Entrepreneurship and Innovation, Skoltech, Moscow, Russia

2018 –  …        3D Optical Metrology, Fondazione Bruno Kessler, Trento, Italy

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:

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., Segmentation of 3D Photogrammetric Point Cloud For 3D Building Modeling, ISPRS Archives, 13th 3D GeoInfo Conference, 1–2 October 2018, Delft, The Netherlands

all research papers are available on ResearchGate

 

Research interests
Point Cloud Processing Photogrammetry Image Processing Data Segmentation Machine Learning Geographical Information Systems