Summary
Vikas Thamizharasan is a PhD candidate and research-focused engineer with 11 years of experience at the intersection of graphics, computer vision, and deep learning, developing methods for image-based 3D reconstruction, neural rendering, and semantic control of generative models. His work spans differentiable rendering, geometry-aware neural architectures, and texture synthesis, with publications accepted to venues like CVPR and 3DV and internships at Adobe, Autodesk, and Activision/Activision Blizzard. He builds computationally efficient tools for inverse graphics problems and explores algebraic-topology-inspired geometric deep learning to create canonical surface parameterizations for applying 2D convnets to 3D data. Based in Rhode Island, Vikas brings a blend of academic rigor and industry impact, having translated research into applied R&D roles and production-oriented internships. An interesting thread through his career is applying principled physics- and topology-based thinking to enable artistic control of generative systems, helping bridge technical depth with creative applications.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Brown University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at International Institute of Information Technology