Mehmet Türkcan is an associate research scientist at Columbia University with nine years of experience applying deep learning, computer vision, and computational neuroscience to real-world, low-latency systems. He leads large interdisciplinary projects that collect and annotate urban-scale datasets, adapts state-of-the-art vision and language models for edge deployment, and has published in top conferences like ICML and CVPR. His work is funded by industry partners including Google, NVIDIA, ConEd and EmpireAI, and he has released open-source datasets and demos used to validate street-level AI systems. Uncommonly for an academic, he also designs hands-on community programs and co-design workshops that translate research prototypes into deployed smart-crosswalk hardware and curricula for high school students.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, 4.10, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, 4.10 at Columbia University in the City of New York
Erasmus Exchange Student, Electrical and Electronics Engineering, Erasmus Exchange Student, Electrical and Electronics Engineering at Ecole polytechnique fédérale de Lausanne
Bachelor of Science (B.Sc.), Electronics and Communication Engineering, Bachelor of Science (B.Sc.), Electronics and Communication Engineering at Istanbul Technical University
Neuroballad is a high level API for simulation of biological neural networks on GPU's, built to facilitate development of circuit-level implementations.
Contributions:20 commits, 2 PRs, 16 pushes in 2 years 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.