Yağız Nalçakan
Postdoctoral Research Associate
Incheon, South Korea
Summary
👤
Senior🎓
Top SchoolYağız 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.
10 years of coding experience
9 years of employment as a software developer
Bachelor 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 ÜniversitesiMaster 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-CerrahpasaDoctor 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 TechnologyUniversity of Milanİtalyan Dili ve Edebiyatı, İtalyan Dili ve Edebiyatı at Università per Stranieri di Siena
English, İtalyanca
Stackoverflow
49reputation
4kreached
0answers
4questions
Github Skills (64)
classification-model8
contrastive-learning8
stylish8
loss8
autoencoder7
variational-autoencoder7
unsupervised-learning7
object-detection6
jekyll6
amazon-mws6
api6
self-supervised-learning6
jekyll-theme6
opencv6
machine-learning6
Programming languages (3)
Github contributions (5)
ynalcakan/Transfer-Learning-Suite
May 2019 - May 2019
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
keras-modelsdeep-learningtransfer-learningclassification-modeltensorflow
ynalcakan/ynalcakan.github.io
Jan 2022 - Dec 2024
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:77 pushes in 2 years 11 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
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