Recep Can

Recep Can

Computer Vision Engineer

Hamburg, Germany

LinkedIn Google Scholar

About

I work on applied problems in remote sensing and geospatial data analysis, focusing on turning complex spatial data into analysis-ready and decision-relevant outputs. My background combines photogrammetry, computer vision, and data-driven methods across satellite, aerial, and drone imagery. I build end-to-end workflows that cover data preparation, feature extraction, and analysis, with an emphasis on scientific rigour, reproducibility, and data quality. Alongside raster-based workflows, I also develop vector data pipelines to support integrated spatial analyses.

Experience

Computer Vision Engineer

2024 - Present

BioConsult SH

Remote Sensing · SPACEWHALE

Researcher

2022 - 2024

TUBITAK Space Technologies Research Institue

Remote Sensing Group

Research Assistant

2020 - 2022

Hacettepe University

Department of Geomatics Engineering

Research Associate

2021 - 2022

Evaluation of Skysat RPC Quality under ESA Earthnet Data Assessment Pilot (EDAP) Project Framework

Research Scholar

2019 - 2022

TUBITAK Space Technologies Research Institue

Geometric calibration of spaceborne linear array CCDs, developing sensor model and algorithms

R&D Team Member

2018 - 2022

LAMA Mobile App

Data quality control and visualization of the data on the web map and developing new ideas for the future of GeoCitSci

Project Team Member

2018 - 2019

Gaziantep Bizim Sehir

Web development, 3D city modelling and 3D city visualization

Long Term Intern

Summer 2018

UVM Systems Turkiye

3D City Modelling, 3D GIS

Summer Intern

2017

Birlik Mapping

Producing Topographic Photogrammetric Maps, Orthophoto Generation, LiDAR Processing

Awards

ISPRS Best Young Author Award

XXIV ISPRS Congress

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Publications

Event-based regional model of liquefaction susceptibility in Amik, Gölbaşı and Kahramanmaraş Basins after the February 6, 2023 Earthquakes

Veysel Emre Karakas, Irem Yildiz, Recep Can, Sultan Kocaman, Kemal Onder Cetin, Candan Gokceoglu

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A Novel Rock Mass Discontinuity Detection Approach with CNNs and Multi-View Image Augmentation

Ilyas Yalcin, Recep Can, Candan Gokceoglu, Sultan Kocaman

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Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye Earthquakes

Gizem Karakas, Erdinc Orsan Unal, Sinem Cetinkaya, Nazli Tunar Ozcan, Veysel Emre Karakas, Recep Can, Candan Gokceoglu, Sultan Kocaman

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A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey

Recep Can, Sultan Kocaman, Candan Gokceoglu

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A Convolutional Neural Network Architecture for Auto-Detection of Landslide Photographs to Assess Citizen Science and Volunteered Geographic Information Data Quality

Recep Can, Sultan Kocaman, Candan Gokceoglu

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Co-seismic Landslide Based Validation of Susceptibility Mapping After Kahramanmaras Earthquakes (Feb 6, 2023) in Amanos Mountains

Gizem Karakas, Erdinc Orsan Unal, Nazli Tunar Ozcan, Sinem Cetinkaya, Recep Can, Candan Gokceoglu, and Sultan Kocaman

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Rock Mass Discontinuity Determination with Transfer Learning

Ilyas Yalcin, Recep Can, Sultan Kocaman, Candan Gokceoglu

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Context-Based Satellite Image Search Engine

Kaan Kalkan, Zeynep Gokce Aker, Recep Can

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Land Cover Map Production with Deep Learning From Very High Resolution Satellite Imagery

Ilyas Yalcin, Gizem Karakas, Recep Can, Sultan Kocaman, Sebastien Saunier, Clement Albinet

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Deep Learning Based Building Footfrint Extraction From Very High Resolution True Orthophotos And nDSM

Mehmet Buyukdemircioglu, Recep Can, Sultan Kocaman, Martin Kada

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A CNN based Flood Mapping Approach Using Sentinel-1 Data

Beste Tavus, Recep Can, Sultan Kocaman

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A CNN Architecture for Discontinuity Determination of Rock Masses with Close Range Images

Ilyas Yalcin, Recep Can, Sultan Kocaman, Candan Gokceoglu

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A WebGIS Framework for Semi-Automated Geodatabase Updating Assisted by Deep Learning

Recep Can, Sultan Kocaman, Ali Ozgun Ok

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Deep Learning Based Roof Type Classification Using Very High Resolution Aerial Imagery

Mehmet Buyukdemircioglu, Recep Can, Sultan Kocaman

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Landslide Susceptibility Mapping with Random Forest Model for Ordu, Turkey

Gizem Karakas, Recep Can, Hakan Ahmet Nefeslioglu, Sultan Kocaman, Candan Gokceoglu

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Development of a CitSci and Artificial Intelligence Supported GIS Platform for Landslide Data Collection

Recep Can, Sultan Kocaman, Candan Gokceoglu

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Core Competencies

Remote Sensing & Earth Observation

  • Multi-scale EO data: Sentinel constellation, commercial VHR satellite imagery, and UAS/aerial platforms
  • Segmentation, classification, and object detection workflows
  • Sensor-aware preprocessing and data harmonization
  • End-to-end model development, validation, and performance assessment

Statistical & Data Quality Analysis

  • EO dataset profiling and exploratory analysis
  • Annotation consistency assessment and quality metrics
  • Quantitative validation of data reliability and model performance
  • Reproducible analysis with documented methodological choices

Applied Machine Learning

  • ML applications in geospatial and environmental analysis
  • Cross-domain model evaluation and transferability assessment
  • Emphasis on interpretable methods and uncertainty quantification
  • Evidence-based model deployment and validation strategies

Geospatial Data Engineering

  • Python-based processing pipelines for multi-source EO data
  • Coordinate system handling, spatial indexing, and scalable workflows
  • Version-controlled and containerized analytical environments

Scientific Communication & Consulting

  • Translating technical results into decision-ready insights
  • Clear documentation of methods, limitations, and uncertainty
  • Supporting research and consultancy-driven decision making

Education

Geomatics Engineering (MSc)

Hacettepe University · 2019 - 2022 · GPA: 3.77 / 4.0

Geomatics Engineering (BSc)

Hacettepe University · 2015 - 2019 · GPA: 3.13 / 4.0

Languages

English (professional working proficiency)

Turkish (native)

Certificates

deeplearning.ai - Deep Learning Specialization deeplearning.ai - Sequence Models deeplearning.ai - Advanced Computer Vision with TensorFlow deeplearning.ai - Custom and Distributed Training with TensorFlow deeplearning.ai - Custom Models, Layers, and Loss Functions with TensorFlow deeplearning.ai - Convolutional Neural Networks in TensorFlow deeplearning.ai - Introduction to TensorFlow for AI, ML, and Deep Learning deeplearning.ai - Convolutional Neural Networks deeplearning.ai - Structuring Machine Learning Projects deeplearning.ai - Improving Deep Neural Networks deeplearning.ai - Neural Networks and Deep Learning Object-Oriented C++: Inheritance and Encapsulation Linear Regression with Numpy and Python Multiple Linear Regression with scikit-learn Deep Learning TR & GDG - Machine Learning Weekend Certificate Kodluyoruz Akademi - Python & Machine Learning Bootcamp Kodluyoruz Akademi - GIT Bootcamp

Additional Activities

Kodluyoruz Academy Ankara Community Leader
Bilim Akademisi - Bilkent Üniversitesi Yapay Öğrenme Yaz Okulu 2020
EGU General Assembly 2020, Online, 4-8 May 2020
XXIV ISPRS Congress(2020), Live speaker
XXIV ISPRS Congress(2021), Certificate of Presentation
Certificate of Attendance, XXIV ISPRS Congress, Nice, France, June 6-11, 2022
Certificate of Presentation, XXIV ISPRS Congress, Nice, France, June 6-11, 2022
Certificate of Attendance, 39th International Symposium of Remote Sensing, April 24-28, 2023
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