---
title: "Pranav Kadam - Senior Researcher in San Francisco Bay Area | Tal"
description: "Meet Pranav Kadam, 3D Geometry Processing, Compression & Standardization based in San Francisco Bay Area."
image: "https://tal.club/meet/pranav-22/share-image"
---

# Pranav Kadam on Tal

## Headline

3D Geometry Processing, Compression &amp; 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&amp;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

[View the original profile](https://tal.club/meet/pranav-22)

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