Jin Heo

About

I'm a PhD candidate at Georgia Tech and working with Ada Gavrilovska. I'm also co-advised with Alexey Tumanov.

Multimedia & Computer Vision System Architect specialized in improving end-to-end performance and efficiency for real-time and interactive applications, e.g., AR/VR, across edge computing and distributed environments. My expertise also includes optimizing workload serving and designing efficient transmission methods for emerging modality data. Passionate about developing practical solutions for real-world challenges, I maintain disciplined agility to adopt new technologies.

My academic trajectory was started after my early career of pro gamer, igniting my initial interest in the intersection of computer science and video game design/development. They significantly shape my current research pursuits.

Resume *updated Feb, 2025

Publication & Presentation

• Adrenaline: Adaptive Rendering Optimization System for Scalable Cloud Gaming, Jin Heo, Ketan Bhardwaj, Ada Gavrilovska, Under review -- [preprint]
• Poster: Adapting XR Perception Serving for Edge Server Scalability, Jin Heo, Ada Gavrilovska, IEEE/ACM 9th Symposium on Edge Computing (SEC '24) -- [paper]
• Gt-Craft: A Framework for Fast Prototyping Geospatial-based Digital Twins in Unity 3D, Jin Heo, Thomas Novlan, Salam Akoum, Ada Gavrilovska, IEEE/ACM 9th Symposium on Edge Computing (SEC '24) -- [paper] [project repo]
• FleXR: A System Enabling Flexibly Distributed Extended Reality, Jin Heo, Ketan Bhardwaj, Ada Gavrilovska, The 14th ACM Multimedia Systems Conference (MMSys '23) -- [paper] [project repo]
• FLiCR: A Fast and Lightweight LiDAR Point Cloud Compression Based on Lossy RI, Jin Heo, Christopher Phillips, Ada Gavrilovska, ACM/IEEE 7th Symposium on Edge Computing (SEC '22) [paper] [arixv] [project repo]
• Poster: Making Edge-assisted LiDAR Perceptions Robust to Lossy Point Cloud Compression, Jin Heo, Gregorie Phillips, Per-Erik Brodin, Ada Gavrilovska, The Seventh ACM/IEEE Symposium on Edge Computing (SEC '22) [paper]
• Poster: Enabling Flexible Edge-assisted XR, Jin Heo, Ketan Bhardwaj, Ada Gavrilovska, ACM/IEEE 6th Symposium on Edge Computing (SEC '21) -- Best Poster Award [paper]
• Acceleration Framework for FPGA Implementation of OpenVX Graph Pipelines, Sajjad Taheri, Jin Heo, Payman Behnam, Jeffrey Chen, Alexander Veidenbaum, Alexandru Nicolau, Field-Programmable Custom Computing Machines (FCCM), 2018 IEEE 26th Annual International Symposium on. IEEE, 2018 [paper], [open version]

Experience

• Graduate Research Assistant, Georgia Tech, Atlanta, GA, USA, Aug 2019 - Present
• Graduate Research Intern - Dolby Laboratories, San Francisco, CA, USA, May 2024 - Aug 2024
• Graduate Research Intern - AT&T Labs, Austin, TX, USA, May 2023 - Aug 2023
• Graduate Research Intern - Ericsson Research, Santa Clara, CA, USA, Mar 2021 - Dec 2022
• Research Scholar - Semiconductor Research Corporation (SRC) Research Scholars Program, Jan 2020 - Aug 2022
• Undergraduate Research Assistant (UROP) - UC Irvine, Irvine, CA, USA, Jul 2017 - Jan 2018
• Undergraduate Research Assistant (UROP) - Ajou University, Suwon, South Korea, Mar 2017 - Jul 2017
• Undergraduate Research Assistant (UROP) - Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, Australia, Sep 2016 - Feb 2017
• IT Specialist - Republic of Korea Army, Armed Force Busan Hospital, Busan, South Korea, Aug 2011 - Nov 2013

Education

• Georgia Tech, Ph.D., Computer Science, Aug 2019 - Present
• Ajou University, B.S., Computer Software and Engineering, Mar 2016 - Aug 2018
• Academic Credit Bank System, A.S., Information Processing, Mar 2015 - Feb 2016
• Chungkang College of Cultural Industries, Attened for freshmen, Computer Games and Programming Skills, Mar 2011 - Dec 2014