Download My CV
I am a DataScientist with expertise in geospatial data, computer vision, and remote sensing. I completed my Bachelor’s degree in Geomatics Engineering and earnedmyMasterofScienceinSatellite CommunicationandRemoteSensingfromIstanbulTechnical University in January 2025. My thesis focused on Transformer and CNNbasedsemanticsegmentationforlanduseanalysis, anda conference paper derived from this work hasbeenpublished. Withastrongfoundationin artificial intelligence and a proven track record of research, my aimis to applydata-driven technologies to advance both academic inquiry and industry practice, with particular emphasis on addressing climate-related challenges and contributing to global sustainability
Publications
1) Cengiz Avcı, Elif Sertel, and Mustafa Erdem Kabadayı. “Deep Learning-Based Road Extraction From Historical Maps.” IEEE Geoscience and Remote Sensing Letters 19 (2022): 1-5. 2) Sertel, E., Avci, C., & Kabadayi, M. E. (2023, July). Deep Learning-Based Land Use Land Cover Segmentation of Historical Aerial Images. In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 2622-2625). IEEE. 3) Cengiz, Avcı, et al. “Comparison between random forest and support vector machine algorithms for LULC classification.” International Journal of Engineering and Geosciences 8.1: 1-10.
My Talks & Projects
Talk On School of AI
I show hands-on machine learning experiments using Google Earth Engine and remote sensing data. You will see #wildfire detection and #watersecurity analysis examples within this lecture.
Climate App
An application I developed while I was working as a ML Intern at FarmOn that calculates the future climate resemblance of different locations. This tool is designed to help determine the similarity between the current climate of a location and the projected climate of another location in the future.