Headline

3D Geometry Processing, Compression & Standardization

About

Currently, I am a Senior Research Engineer at Tencent working with the Media Lab led by Shan Liu. My role involves research and development of 3D Graphics coding technologies for meshes and point clouds. I am also actively involved in standardization activities for 3D data. I earned my Ph.D. from University of Southern California (USC) where I was advised by C.-C. Jay Kuo. My dissertation was related to 3D perception from point cloud data using unsupervised machine learning techniques. Previously, I interned at Sony R&D Center USA and InterDigital Video Lab where I contributed to AI-based 3D point cloud compression exploration activities in MPEG. I also keep an interest in Computer Vision, Machine Learning and exploring emerging technologies in general.

Location

San Francisco Bay Area

Work experience

Senior Researcher at Tencent, May 2023 - Present · 3 yrs 2 mos, Palo Alto, CA, Working on ongoing AOMedia VVM standard on Static Polygonal Mesh Coding. 3 major lossless coding tool adoptions with over 2% coding gain. Several other contributions adopted spanning across geometry prediction, connectivity regularization and entropy coding. Development and implementation of mesh processing algorithms including symmetry aware mesh analysis, UV-preserved mesh decimation and mesh registration.

Research Intern at Tencent, Feb 2023 - May 2023 · 4 mos, Palo Alto, California, United States, Research and development of methods for symmetric mesh coding and use of registration techniques in mesh coding.

Applied Research Intern at Sony, Aug 2022 - Dec 2022 · 5 mos, San Jose, CA, Research and development of AI-based dynamic point cloud compression method and rate control technique. Proposed method led to an input contribution in MPEG AI-PCC standard.

Research Intern at InterDigital, Inc., May 2022 - Aug 2022 · 4 mos, New York, NY, Research and development of AI-based method for motion estimation and intra-/inter-mode decision in dynamic point cloud compression.

Teaching Assistant at USC Viterbi School of Engineering, Aug 2021 - May 2022 · 10 mos, Los Angeles, CA, EE 559 - Machine Learning I (Spring 2023) EE 569 - Introduction to Digital Image Processing (Spring 2022) EE 510 - Linear Algebra for Engineering (Fall 2021)

Research Assistant at USC Viterbi School of Engineering, May 2019 - May 2022 · 3 yrs 1 mo, Los Angeles, CA, Research and development of methods for 3D geometry perception

Course Grader at USC Viterbi School of Engineering, Aug 2019 - Apr 2020 · 9 mos, Los Angeles, California, United States, 1. EE 569 - Introduction to Digital Image Processing (Spring 2020) 2. EE 562 - Random Processes (Spring 2020) 3. EE 567 - Communication Systems (Fall 2019)

Research Intern at IUCAA, Pune, India, Jun 2017 - May 2018 · 1 yr, Pune, Research and development on detection of Gamma Ray Bursts from satellite time series data using machine learning techniques

Education

Doctor of Philosophy - PhD, Electrical Engineering, University of Southern California

Master of Science (Honors) - MS, Electrical Engineering, University of Southern California