Tolga Yıldız is a PhD candidate and graduate research assistant at Texas A&M University specializing in computer graphics, solid modeling, field discretization, sampling, and shadow estimation. With eight years of experience spanning FPGA communications, hardware-embedded neural networks, material simulation, and scene reconstruction, he blends low-level systems thinking with advanced graphics research. He contributed a Vulkan backend to CGAL’s visualization library through Google Summer of Code and is actively developing Blender features like Voronoi Node and PLY import/export. Currently exploring novel solid modeling paradigms for woven, linked, and knitted modular structures, Tolga applies mathematical rigor from his electrical engineering background to practical tools used by graphics and visualization communities.
8 years of coding experience
Bachelor's degree, Electrical and Electronics Engineering, 3.46/4.00, Bachelor's degree, Electrical and Electronics Engineering, 3.46/4.00 at Bilkent University
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Texas A&M University
Contributions:65 pushes, 3 branches in 1 year 2 months
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