Welcome to NAIS Lab at Inha University !

We study computer systems and AI applications, with a focus on improving performance, scalability, cost efficiency, and reliability.

[Recruiting]  대학원생/학부연구생 모집중입니다. 관심있다면 [한국어 안내] 를 참고해 주세요.
We are actively looking for collaborations and recruiting graduate students (MS/Ph.D.). Undergrad students are also welcome.
If you are interested, please contact me at jaehong.kim@inha.ac.kr with your CV and transcript.

Latest News

• [July 2026] Our paper “FlaME: MAC Scheduling at Scale in Virtualized Radio Access Network” has been accepted to NSDI 2027.

• [June 2026] Our lab's Spatial Intelligence Platform project has been selected for the NVIDIA Academic Grant Program, with NVIDIA donating 4× RTX PRO 6000 Max-Q Workstation Edition GPUs to support the research. 

  • 인하대 김재홍 교수, 엔비디아 글로벌 연구지원 프로그램 선정 [경인매일]  /  [대학지성] 

• [June 2026] Jaehong will give a talk on BlenDR at MobiSys 2026 (Cambridge, UK) on June 23.

• [Mar 2026] Jaehong will give a talk on SceneHub4D at IEEE VR 2026 (Daegu Exco, Korea) on March 25.

• [Mar 2026] Our lab has been awarded the Outstanding Young Scientist Grant (우수연구-신진연구) from the National Research Foundation of Korea (NRF) for a three-year project on building a large-scale digital twin system. 

• [Mar 2026] Our paper “BlenDR: Bandwidth-efficient RGB-D Representation and Delivery for Live 3D Video Streaming” has been accepted to MobiSys 2026.

• [Feb 2026] Our paper “Neural-Centric Video Processing Pipeline for Unified Multi-Task Inference” has been accepted to CVPR 2026.

• [Jan 2026] Our paper “SceneHub4D: A Dataset and Evaluation Framework for 6-DoF 4D VR Scenes” has been accepted to IEEE TVCG 2026.

• [Nov 2025] Our paper titled “NerVast: Compression-Efficient Scaling of Implicit Neural Video Representations via Scene-based Parameter Sharing” has been accepted to WACV 2026.

• [Sep 2025] NAIS Lab webpage launched!