Networking, AI and Systems Lab
@ Inha
Networking, AI and Systems Lab
@ Inha
Welcome to NAIS (Networking, AI and Systems) Lab at Inha University !
[Our Vision] is to build next-generation systems that process and deliver data faster, more reliably, and more intelligently, while maintaining cost-efficiency and scalability.
We ask fundamental questions about modern computing and networked systems:
How can we make (AI-driven) systems faster and more responsive?
Can we achieve better performance without increasing cost or energy?
Can we prioritize what matters most and adapt to dynamic workloads?
How can systems collaborate and scale efficiently?
How can AI improve real-world systems, not just models?
For more details about our work, please explore our Publications and Research pages.
[Research Areas]
Computer Systems and Networked Systems
AI-driven Multimedia Processing and Delivery
AI for Systems / System support for AI
Spatial Computing (e.g., XR Systems and Digital Twins)
[Ongoing Research Topics]
Efficient Vision-Language Models (VLMs) / System support for VLMs
Agentic AI Systems
Immersive Media Systems / XR Technologies
[Recruiting] 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.
For Inha University students, there are various scholarship opportunities available with our lab's support.
Latest News
[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 유형A) 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 (conditionally) accepted to MobiSys 2026. Congratulations!
[Feb 2026] Our paper “Neural-Centric Video Processing Pipeline for Unified Multi-Task Inference” has been accepted to CVPR 2026. Congratulations!
[Jan 2026] Our paper “SceneHub4D: A Dataset and Evaluation Framework for 6-DoF 4D VR Scenes” has been accepted to IEEE TVCG 2026. Congratulations!
[Dec 2025] Bosung, Sangmin, and Seoyeon joined our lab as undergrad research interns. Welcome!
[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. Congratulations!
[Sep 2025] NAIS Lab webpage launched!