Bilingual Academic Website

A research space connecting intelligent computing, systems, and engineering practice

The Intelligent Computing and Systems Laboratory develops work across artificial intelligence, embedded systems, signal processing, and applied system integration. The website is designed to support public outreach, teaching materials, and research communication in both English and Traditional Chinese.

AI + Systems

Interdisciplinary focus

Traditional Chinese / English

Bilingual presentation

Teaching / Research

Academic resource hub

Announcements

Lab notices and course updates

Published announcements appear automatically here. Administrators can create, edit, and unpublish them in Django admin.

2026-04-04

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2026-04-03

Midterm Research Progress Meeting

Please prepare an 8-minute presentation covering your current progress, technical issues, and next-stage plan. The meet…

2026-04-03

Embedded Systems Course Materials Updated

Students taking the Embedded Systems course can now download the latest materials from the teaching resources section. …

About the Lab

Building a digital front door for research, teaching, and collaboration

This lab focuses on intelligent computing, distributed systems, software engineering, Smart IoT, intelligent documents, and LLM applications. The website introduces the lab, its research directions, and the teaching resources that support student learning.

  • Present the lab profile and its core specialties clearly
  • Highlight intelligent computing, distributed systems, and software engineering
  • Showcase Smart IoT, intelligent document, and LLM application work
  • Organize lecture notes, slides, and practical course materials

Research Themes

Core specialization areas of the lab

Intelligent Computing, Distributed Systems, and Software Engineering

Research spanning intelligent computing methods, scalable system design, and dependable software engineering practice.

Smart IoT and Intelligent Document

Applied work combining connected devices, sensing systems, and document understanding for practical intelligent services.

LLM Applications

Integration of large language models into document workflows, knowledge assistance, research support, and software applications.

Teaching Materials

A single entry point for course and research resources

  • Course outlines, weekly schedules, and reading lists
  • Slides, handouts, lab guides, and sample code
  • Research training documents, capstone guidance, and paper reading materials

Contact

Open to students interested in research, projects, and collaboration

  • Department: Department of Electronic Engineering
  • Institution: National Yunlin University of Science and Technology
  • Lab Chairman: Min-Huang Ho
  • Personal Research Room: ES907
  • Lab Room: ES404
  • The site structure already supports future expansion for faculty, students, and research outcomes.