Radomir Mech
About Radomir Mech
Radomir Mech is a Principal Scientist at Adobe, leading a subgroup in the Imagination Lab focused on 3D graphics and generative models. He has a background in computer graphics and has previously worked at NVIDIA, SGI, and the University of Calgary.
Current Role at Adobe
Radomir Mech serves as a Principal Scientist at Adobe, a position he has held since 2006. He works in San Jose, CA, and leads a subgroup within the Imagination Lab at Adobe Research. His team focuses on advancing 3D graphics technologies. Mech's responsibilities include managing a diverse team that consists of senior individual contributors and a technical artist, fostering collaboration and innovation in the field.
Previous Experience at NVIDIA
Before joining Adobe, Radomir Mech worked at NVIDIA as a Senior Film Software Engineer from 2004 to 2006. During his tenure in Santa Clara, CA, he contributed to the development of software solutions for the film industry, enhancing the capabilities of graphics rendering and visual effects.
Academic Background
Radomir Mech has a strong academic foundation in computer graphics and computer science. He earned his Ph.D. in computer graphics from the University of Calgary, where he studied from 1993 to 1997. Prior to that, he completed his M.Sc. in computer graphics and B.Sc. in computer science at Charles University in Prague, Czech Republic, from 1988 to 1993.
Work at SGI
Radomir Mech worked at SGI as a Tech Lead from 1998 to 2004. During his six years in Mountain View, CA, he played a key role in leading projects that focused on advanced graphics technologies, contributing to the company's reputation in the high-performance computing and graphics sectors.
Research Interests and Expertise
Radomir Mech's research interests encompass a range of areas, including natural media simulation and generative models, particularly Generative Adversarial Networks (GANs). He also focuses on procedural modeling, emphasizing interaction with procedural models and casual modeling. His expertise extends to image evaluation algorithms and 3D printing, reflecting his comprehensive knowledge in the field of graphics technology.