Manolis Savva
Associate Professor
Greater Vancouver Metropolitan Area Canada
Summary
🤩
Rockstar🎓
Top SchoolManolis Savva is an Associate Professor in Computing Science at Simon Fraser University with 13 years of research and engineering experience spanning academia and industry, including a Ph.D. from Stanford and a visiting researcher stint at Facebook AI. His work sits at the intersection of computer graphics, vision, and systems—combining deep research on material appearance and real-time rendering with hands-on full-stack and mobile development, as evidenced by contributions to the ScanNet project. He has a track record of moving ideas from lab prototypes to practical software, mentoring students while publishing and collaborating across top institutions like Princeton and Cornell. Based in Greater Vancouver, he brings uncommon cross-disciplinary depth—from cryogenic experimental hardware early in his career to building web UIs and backend services—making him adept at turning complex, data-rich problems into deployable systems.
13 years of coding experience
10 years of employment as a software developer
B.A Physics and Computer Science, B.A Physics and Computer Science at Cornell UniversityPh.D. Computer Science, Ph.D. Computer Science at Stanford University
Greek, Bulgarian, Japanese, German, Chinese
Github Skills (9)
javascript10
web-development10
ios9
api8
react8
server8
apidoc8
computer-vision6
3d-reconstruction5
Programming languages (6)
Github contributions (5)
ScanNet/ScanNet
Feb 2017 - Apr 2018
Role in this project:
Full-stack Developer & Mobile Developer
Full-stack Developer & Mobile DeveloperContributions:26 commits, 23 pushes, 4 comments in 1 year 1 month
Contributions summary:Manolis contributed to both the backend and frontend of the project, as evidenced by changes in the server and web UI code. They refactored the data server URL in the iOS ScannerApp, indicating involvement in the mobile application's configuration. The user added web UI code including routes and a manage page, and implemented depth2pgm, demonstrating work across the stack.
deep-learningcomputer-graphicscomputer-vision3d-reconstructionrgbd
msavva/assimp
May 2016 - Jan 2019
Contributions:12 commits, 11 pushes in 2 years 8 months
file-formatscleanformatsassetdata-structure
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