Currently working at Meta on cutting-edge smart glass GenAI multi-modal systemsand infrastructure. As an Associate Editor for IEEE T-CSVT (Impact Factor: 8.4) and member of the elite TGO (鲲鹏会) tech leadership community, I'm pioneering the next generation of human-computer interaction through advanced AI-powered smart glass technology.
With a Ph.D. from Stony Brook University and active enrollment inStanford's CS Master Program, I bring extensive industry experience from Meta, DoorDash (Tech Lead),Microsoft Azure, and Uber (Palo Alto & Seattle). My work spans 3D computer vision, neuroimaging analysis, and network optimization—now applied to revolutionary GenAI multi-modal glass models that redefine immersive experiences. I share insights through myYouTube channeland Bilibili.
Current Position
Smart Glass GenAI Multi-Modal Systems
Working on cutting-edge smart glass technology and infrastructure, developing GenAI multi-modal glass models for next-generation AR experiences.
Tech Lead
Led technology initiatives and engineering teams, driving innovation in large-scale distributed systems and smart technology applications.
Software Engineer
Contributed to cloud computing infrastructure and Azure services, working on large-scale distributed systems and cloud technologies.
Software Engineer • Palo Alto & Seattle
Worked across multiple offices developing high-performance systems for ride-sharing and logistics platforms at global scale.
Current Research at Meta: Developing cutting-edge smart glass GenAI multi-modal systems and infrastructure. Pioneering the integration of computer vision, natural language processing, and immersive AR interfaces that enable seamless human-computer interaction through advanced AI-powered smart glass technology.
Research in computational geometry, mesh parameterization for poly-annulus surfaces, and optimal mass transportation techniques.
High-performance computing solutions for data centers, network optimization, and parallel processing architectures at scale.
Advanced computer vision for neuroimaging analysis, biomarker development, and spatial understanding in smart glass applications.
Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, one of the top journals in video processing and multimedia systems.
Member of TGO (鲲鹏会), the premier technology leadership community connecting 1700+ CTOs, CPOs, and Tech VPs globally.
Currently enrolled in Stanford's prestigious Computer Science Master Program, advancing expertise in cutting-edge AI and computer systems research.
Sharing insights on AI, academic research, and industry trends. Deep dives into smart glass technology, multi-modal systems, and the latest innovations in tech.
📺Subscribe on YouTubeCreating professional technical content sharing cutting-edge insights on AI academic research and industry innovations. Exploring smart glass technology, multi-modal AI systems, and emerging tech trends in depth.
🎬Watch on BilibiliComputer Aided Geometric Design, 2016 · Cited by 62
K Su, L Cui, K Qian, N Lei, J Zhang, M Zhang, XD Gu - A novel approach to mesh parameterization using optimal mass transportation theory.
Computer-Aided Design, 2017 · Cited by 46
K Su, W Chen, N Lei, J Zhang, K Qian, X Gu - Advanced techniques for volume-preserving mesh parameterization using transportation theory.
Currently working at Meta on smart glass GenAI multi-modal systems. As an IEEE Associate Editor, TGO tech leader, and Stanford CS master program participant, I welcome opportunities for academic collaboration, industry partnerships, editorial discussions, and knowledge sharing on cutting-edge AI and AR technology topics.
Open to: Smart glass GenAI collaborations • Editorial opportunities • Tech leadership discussions • Meta Reality Labs partnerships • Multi-modal AI research • Academic speaking engagements • AR/VR innovation projects
Join the conversation about research, collaborations, and academic topics.
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