Yağız Nalçakan

Postdoctoral Research Associate

Incheon, South Korea
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Summary

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Senior
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Top School
Yağız Nalçakan is a Postdoctoral Research Associate and AI researcher with a Ph.D. in Computer Engineering, bringing a decade of experience in autonomous vehicles, computer vision, and machine learning. He has bridged academic and international research environments—working at İzmir Institute of Technology, a visiting fellowship at Seoul National University, and now at Yonsei’s Seamless Transportation Lab—where he focuses on practical autonomy and vehicle dynamics. Skilled in designing and implementing ML algorithms and vision systems, he also has hands-on software experience from Python/Django development in industry, giving him a strong product-minded perspective on research. Known for solving complex, real-world problems, he combines analytical rigor with creative experimentation and cross-cultural collaboration. An uncommon strength is his language and international study background (including time in Milan and Siena), which complements his technical work with broader communication and adaptability.
code11 years of coding experience
job9 years of employment as a software developer
bookBachelor of Engineering (B.E.), Computer Engineering, GPA - 3.05/4.00, Bachelor of Engineering (B.E.), Computer Engineering, GPA - 3.05/4.00 at Trakya Üniversitesi
bookMaster of Science (M.Sc.), Computer Engineering, GPA - 3.75/4.00, Master of Science (M.Sc.), Computer Engineering, GPA - 3.75/4.00 at Istanbul University-Cerrahpasa
bookDoctor of Philosophy - PhD, Computer Engineering, GPA - 3.36/4.00, Doctor of Philosophy - PhD, Computer Engineering, GPA - 3.36/4.00 at Izmir Institute of Technology
bookUniversity of Milan
bookİtalyan Dili ve Edebiyatı, İtalyan Dili ve Edebiyatı at Università per Stranieri di Siena
languagesEnglish, İtalyanca
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Stackoverflow

Stats
49reputation
4kreached
0answers
4questions
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Github Skills (51)

contrastive-learning8
unsupervised-learning8
autoencoder8
style-transfer7
stylish7
amazon-mws7
object-detection6
transfer-learning6
tracking-algorithm6
api6
self-supervised-learning6
accident-detection6
opencv6
machine-learning6
convolutional-neural-networks6

Programming languages (3)

CHTMLPython

Github contributions (5)

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A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:89 pushes in 3 years 10 months
jekyll-theme
Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Contributions:21 commits, 5 pushes in 14 days
image-classificationkerastransfer-learning
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