Sunjae Lee

Sunjae Lee

Mobile computing, AI Agent, and systems

About

I am an Assistant Professor in the Department of Computer Science and Engineering at Sungkyunkwan University (SKKU). Prior to joining SKKU, I completed my PhD at KAIST, School of Computing, under the guidance of Professor Insik Shin.

My research lies at the intersection of mobile systems, artificial intelligence, and human-computer interaction. I am particularly interested in designing and building next-generation computing technologies, including mobile operating systems, Agentic AI systems for task automation (Computer-use agent), and novel Human-AI-Computer Interaction (HACI).
If you are interested in learning more about my research or exploring potential collaborations, please feel free to contact me at sunjae.lee@skku.edu.

Notice

I am currently looking for enthusiastic students (B.S., M.S., and Ph.D.)to join my lab. If you are interested in joining my lab, please feel free to contact me at sunjae.lee@skku.edu.

News

  • [Mar. 2025] I joined SKKU as an Assistant Professor and launched the Future Computing Lab (FCLab).
  • [Aug. 2024] Our Paper “MobileGPT: Augmenting LLM with Human-like App Memory for Mobile Task Automation” got accepted to MobiCom ‘24.
  • [May. 2024] Our Paper “FLUID-IoT : Flexible and Fine-Grained Access Control in Shared IoT Environments via Multi-user UI Distribution” got accepted to CHI ‘24.
  • [Jan. 2023] Fluiz won a Innovation Award at CES 2023
  • [Jan. 2023] Fluiz is running a Booth at CES 2023 (Las Vegas, USA)
  • [July. 2022] I joined Fluiz as a CTO.
  • [July. 2022] Our Paper “A-Mash: Providing Single-App Illusion for Multi-App Use through User-centric UI Mashup” got accepted to MobiCom ‘22.
  • [Aug. 2021] Our Paper “FLUID-XP: Flexible User Interface Distribution for Cross-Platform Experience” got accepted to MobiCom ‘21.
  • [Mar. 2019] I joined the CPS Lab, led by Professor Insik Shin, at KAIST.

Research Interests

  • Mobile Systems
    • Mobile Operating Systems Design
    • User Interface Management
    • Edge Computing (IoT)
  • AI-driven Systems
    • LLM-based Task Automation
    • Computer-use Agent
    • Agentic AI systems
    • Human-AI-Computer Interaction (HACI)

Publications

Click here!

Professional Experience & Education

  • Assistant Professor, SKKU, Department of Computer Science and Engineering (March. 2025 – Present)

  • Chief Technology Officer (CTO), Fluiz Corp. (July 2022 – Feb. 2025)
    • Led the development of next-generation mobile operating systems and services.
    • Managed partnerships, patents, and product development, resulting in awards like the CES 2023 Innovation Award.
  • PhD in Computer Science, KAIST, School of Computing (Sept. 2021 – Feb. 2025)
    • Thesis: Towards Ubiquitous and Intelligent Mobile Computing: From UI Distribution to AI agent.
    • Advisor: Prof. Insik Shin.
  • M.S. in Computer Science, KAIST, School of Computing (Mar. 2019 – Feb. 2021)
    • Thesis: UI-based Cross-device Screen Distribution.
    • Advisor: Prof. Insik Shin.
  • B.S. in Computer Science, KAIST, School of Computing (Sept. 2012 – Feb. 2019)

Awards and Honors

  • Outstanding Ph.D. Dissertation Award
    • Dissertation title: Towards Ubiquitous and Intelligent Mobile Computing: From UI Distribution to AI agent
  • Minister’s Award, Ministry of Science and ICT, South Korea (Dec. 2024)
    • Fluiz won the Minister’s Award at the 24th Mobile Technology Festival hosted by Korea Economic Daily.
  • CES 2023 Innovation Award
    • Fluiz won the CES 2023 Innovation Award for its multi-device mobile operating system.
  • Minister’s Award, Ministry of Science and ICT, South Korea (Dec. 2022)
    • Fluiz won the Minister’s Award at the 22nd Mobile Technology Festival hosted by Korea Economic Daily.
  • Best Paper Award, MobiCom ‘19
    • Awarded to “FLUID-XP: Flexible User Interface Distribution for Cross-Platform Experience”, Sangeun Oh, Ahyeon Kim, Sunjae Lee, Kilho Lee, Dae R. Jeong, Steven Y. Ko, Insik Shin

Patents

  1. LLM-baed noninvasive application execution system for mobile task automation, and method thereof (Granted in Rep. Korea, 2024)
  2. User interface distribution method for multi-device interaction (Granted in Rep. Korea, 2022)
  3. Secure user interface distribution method for heterogeneous multi-device interaction (Published, Rep. Korea, 2019)
  4. Method of transmitting UI display information based on smart contract (Published, Rep. Korea, 2022)
  5. Method of transceiving UI displays between user devices (Published, Rep. Korea, 2022)
  6. Method of transmitting UI display information to peripheral clients by a local server (Published, Rep. Korea, 2022)
  7. Secure user interface distribution method for heterogeneous multi-device interaction (Published, US, 2022)

Academic Services

  • External Reviewer:
    • CHI 2025, IUI 2025