Summary
F Tek is an associate professor and researcher with 12 years of experience specializing in computer vision, machine learning, and robotics, currently based in Istanbul. He blends academic leadership with hands-on research in bioimage analysis across modalities such as microscopy, SBEM, CT, histopathology and ultrasound, plus ensemble classifiers and perception for mobile robots. His career spans academia and industry—teaching core CS courses and conducting applied medical imaging and automated detection projects at institutions including ITU, Isik University, Uni. of Heidelberg, and Medicsight. Notable work includes automated nucleus detection in SBEM and CT/colon nodule detection using cascade AdaBoost ensembles, reflecting a practical focus on translational imaging solutions. He holds a PhD in electronic systems and an MSc in computer vision, and brings a persistent curiosity to his work—summed up by his GitHub motto, "Never stop learning."
12 years of coding experience
4 years of employment as a software developer
B.Sc, electronics, B.Sc, electronics at Baskent University
ph.d, electronic systems, ph.d, electronic systems at University of Westminster
icel fen
M.Sc, Electronics, Computer Vision, M.Sc, Electronics, Computer Vision at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish