陳慶瀚Ching-Han Chen

National Central University · Dept. of Computer Science & Information Engineering

Ching-Han Chen

陳慶瀚·Professor

陳慶瀚教授肖像

Ching-Han Chen received his Ph.D. degree from Franche-Comté University, Besançon, France, in 1995. He was an Associate Professor in the Department of Electrical Engineering at I-Shou University, Kaohsiung, Taiwan, before joining National Central University. He is currently a Professor in the Department of Computer Science and Information Engineering at National Central University, Taoyuan, Taiwan. Prof. Chen is the founder of the MIAT (Machine Intelligence and Automation Technology) Laboratory. His research focuses on embedded system design, AIoT, robotics, and intelligent automation. He has led numerous government-funded and industry-collaborative projects, producing innovations in smart sensors, machine vision, and embedded AI systems.

  • Embedded Systems
  • Machine Vision
  • System Integration
  • MIAT Methodology
  • Edge AI
  • FPGA / RISC-V
MIAT Laboratory ↗
1996
Founded MIAT Laboratory
250+
Supervised M.S./Ph.D. theses
15
Industry projects, 2020–2025
2
Lab spin-off startups

Education & Career

學歷與經歷

Education

  • 1992/09 – 1995/02

    Université de Franche-Comté, France

    Ph.D. · Computer & Automation Engineering

  • 1991/09 – 1992/09

    Université de Franche-Comté, France

    M.S. · Computer Science, Automation & Industrial Production (IAP)

  • 1986/09 – 1988/06

    National Central University

    M.S. · Graduate Institute of Geophysics

  • 1982/09 – 1986/06

    National Central University

    B.S. · Geophysics

Career

  • 2006/08 – present

    Dept. of CSIE, National Central University

    Professor

  • 2011/08 – 2014/07

    Office of R&D — IP & Technology Transfer, National Central University

    Director

  • 1995/08 – 2006/07

    Dept. of Electrical Engineering, I-Shou University

    Associate Professor

  • 1995/05 – 1995/08

    Center for Global Change Research, National Taiwan University

    Postdoctoral Researcher

  • 1992/10 – 1995/02

    LEP-IRADES (URA 908), CNRS, France

    Doctoral Researcher

  • 1991/10 – 1992/09

    Besançon Automation Laboratory, Université de Franche-Comté

    Doctoral Researcher

Expertise

  • Embedded SystemsEmbedded software, real-time systems, RT/embedded operating systems, microkernel OS
  • Machine Vision & Object Tracking
  • IT & System Integration

Research Areas

研究領域

  • 01

    Smart-Home AIoT

    智慧家庭 AIoT 平台

    Focused on health care for long-term-care families and seniors living alone: sensor networks, smart switches, and advanced gateways, with AI for anomaly detection, daily-activity monitoring, and early warning.

  • 02

    UAV Flight-Control SoC

    無人機飛控系統晶片

    Flight-control chips, sensor-fusion chips, DDS communication chips, swarm flight, and autonomous localization — from educational drones to large cargo UAVs for rural supply delivery and medical support.

  • 03

    Long-Term-Care AI & Robotics

    長照 AI 與機器人

    Automated construction of personalized knowledge graphs with LLMs, combined with wearable and contactless sensing, to support home care of the deaf, blind, and dementia-impaired; developing companion robots for seniors living alone.

  • 04

    Edge-AI SoC Design

    邊緣 AI 系統晶片設計

    Binary convolutional neural network (BCNN) hardware accelerators, including BCNN-ResNet classifiers and a YOLOv8 accelerator; ongoing work combines the MIAT methodology with LLMs for FPGA HW/SW co-design.

  • 05

    Humanities AI

    人文 AI

    LLMs, ontology knowledge graphs, and RAG architectures to build reliable, explainable domain AI agents for smart healthcare, education support, legal consulting, and complex engineering reasoning.

  • 06

    MIAT Methodology 2.0

    MIAT 方法論 2.0

    Hierarchical module decomposition with IDEF0 and discrete-event modeling with GRAFCET, down to minimal implementable units; LLMs then co-generate and optimize HW/SW modules — spanning algorithms, C/Python, MCU/RTOS, FPGA, and IC design.

Research Projects

研究計畫

Recent projects funded by Taiwan’s National Science and Technology Council (formerly MOST), spanning embedded AI acceleration, 3D scanning & SLAM, smart glasses, and the industrial IoT.

  • 2026–2027MIAT Methodology × Large Language Models: A Multi-Agent HW/SW Co-Design Automation PlatformNSTC
  • 2023–2026FPGA-Based Hardware Accelerator Design for YOLO Object-Detection Inference (3-year)NSTC
  • 2020–2021Embedded 3D Scanning and Robot SLAM System Combining Dual-Line Laser and Visual SensingMOST
  • 2020–2021Smart Guide Glasses with Described Audio and Spoken DialogueMOST
  • 2018–2019Design and Hardware Implementation of Intelligent Perception Controllers for a General-Purpose Robotic Embedded Computing PlatformMOST
  • 2017–2020Waveguide Eyeglasses for 3D Virtual Reality (3-year)MOST
  • 2017–2018Hardware-Reconfigurable Morphological Image Processor for Ultra-High-Speed Visual InspectionMOST
  • 2016–2017High-Performance Structured-Light 3D Scanning Algorithms and Their Embedded System DesignMOST
  • 2015–2017Collaborative Multi-Core Fieldbus Gateway for the Industrial IoTMOST
  • 2014–2016High-Performance Lens Distortion-Correction Chip and Smart Camera DevelopmentMOST

Industry Collaboration

產學合作計畫

Fifteen industry collaboration projects over the last five years — developing new products and technologies with seven companies, plus smart-agriculture systems for agencies of the Ministry of Agriculture.

Performance Study of the ET1290 32-bit Microprocessor with BiCS5 & BiCS8 3D NAND Flash

英柏得科技2025/10 – 2026/09

Home-Care AI Vision Monitoring Network

利善美智能2025/06 – 2026/05

Pet Image-Recognition Performance Toolkit Development

Ministry of Agriculture2025/05 – 2025/12

Animal-Protection Awareness Campaign

Ministry of Agriculture2025/01 – 2025/12

FPGA Hardware Accelerator Design for YOLO Object Detection

篤金資訊2025/01 – 2025/06

Performance Study of the ET1289 32-bit Microprocessor with BiCS5 3D NAND Flash

英柏得科技2024/09 – 2025/08

TinyYOLO Software Development for Microcontroller Platforms

浯陽科技2024/04 – 2024/12

Performance Testing and Characterization of 3D NAND Flash Memory

英柏得科技2023/07 – 2024/06

SEMI SMT-ELS A1/A2 Equipment-Connectivity Protocol Software

Delta Electronics2022/10 – 2024/03

Endowed NCU–町洋 Joint R&D Laboratory

町洋企業2022/01 – 2031/12

Scan and Archive System Optimization and Expansion

宜誠資訊2022/05 – 2022/12

AR Human–Machine Dialogue System with Embedded Systems Integration

旺捷智能感知2021/10 – 2021/12

Embedded Device Development

旺捷智能感知2021/08 – 2021/12

Digital Seed Atlas Platform (2021 Expansion)

Council of Agriculture2021/03 – 2021/12

3D Ranging Module

迪伸電子2020/01 – 2020/12

Recent Publications

近期學術論文發表

Journal and international conference papers spanning embedded vision, edge-AI accelerator chips, the industrial IoT, and knowledge-graph applications.

Google Scholar · Citations 1,200+ · H-index 19

Google Scholar Profile ↗

Papers (PDF)(22)

  • 2026

    Behavior-Oriented Online Testing Architecture for UAV Systems With CI–PI Evaluation

    W. L. Chang, C. H. Chen

    IEEE Access, vol. 14, pp. 144942–144956 · doi:10.1109/ACCESS.2026.3735121

    ↓ Download PDF
  • 2026

    PulseSync: Deterministic MCU–NPU Streaming Co-Design for SRAM-Only rPPG Inference

    P. H. Chen, C. H. Chen

    IEEE Embedded Systems Letters

    ↓ Download PDF
  • 2026

    RYv8_BNH: A 10 μs Ultra-Low-Power Binarized YOLOv8 Accelerator for Smart Home Edge AI

    C. H. Chen, B. J. Chen, Y. A. Shen

    ICRAS 2026 · Kyoto, Japan

    ↓ Download PDF
  • 2026

    An Explainable Pit Bull-Type Dog Breed Identification System Using Vision-Language Models and Official Breed Standards

    Y. K. Chiang, C. H. Chen, W. J. Huang

    IEEE ICCE-TW 2026

    ↓ Download PDF
  • 2026

    Enabling AI-Driven Real-Time Communication and Computation With DDS for IoT-Assisted Home Care

    C. H. Chen, C. H. Chang, C. W. Peng, G. W. Lan

    IEEE Internet of Things Magazine · doi:10.1109/MIOT.2025.3637839

    ↓ Download PDF
  • 2025

    Human-AI Collaborative Design of ReActNet-XGBoost Hardware Accelerator for Personalized Wearable ECG Monitoring

    C. H. Chen, J. S. Hsiao, K. S. Lin

    IEEE ICTAI 2025 · doi:10.1109/ICTAI66417.2025.00215

    ↓ Download PDF
  • 2025

    KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation

    C. H. Chen, M. F. Shiu

    IEEE Access · doi:10.1109/ACCESS.2025.3633838

    ↓ Download PDF
  • 2024

    High-Performance Chip Design With Parallel Architecture for Magnetic Field Imaging System

    M. Y. Lin, S. H. Hsieh, C. H. Chen, C. H. Lin

    IEEE Transactions on Instrumentation and Measurement, vol. 73, 9502313 · doi:10.1109/TIM.2023.3334351

    ↓ Download PDF
  • 2022

    High-Precision Time Synchronization Chip Design for Industrial Sensor and Actuator Network

    C. H. Chen, M. Y. Lin, Y. C. Shih, C. C. Chen

    Microprocessors and Microsystems, vol. 91, 104507 · doi:10.1016/j.micpro.2022.104507

    ↓ Download PDF
  • 2021

    Use Learnable Knowledge Graph in Dialogue System for Visually Impaired Macro Navigation

    C. H. Chen, M. F. Shiu, S. H. Chen

    Applied Sciences, 11(13), 6057 · doi:10.3390/app11136057

    ↓ Download PDF
  • 2021

    Intelligent Brushing Monitoring Using a Smart Toothbrush with Recurrent Probabilistic Neural Network

    C. H. Chen, C. C. Wang, Y. Z. Chen

    Sensors, 21(4), 1238 · doi:10.3390/s21041238

    ↓ Download PDF
  • 2022

    Gigabit Modbus User Datagram Protocol Fieldbus Network Integrated with Industrial Vision Communication

    M. Y. Lin, C. H. Chen, Z. B. Dong, C. C. Chen

    Microprocessors and Microsystems, vol. 94, 104682 · doi:10.1016/j.micpro.2022.104682

    ↓ Download PDF
  • 2022

    Wireless Fieldbus Networking with Precision Time Synchronization for a Low-Power WSAN

    C. H. Chen, M. Y. Lin, W. P. Tew

    Microprocessors and Microsystems, vol. 90, 104509 · doi:10.1016/j.micpro.2022.104509

    ↓ Download PDF
  • 2021

    Automatic Fish Segmentation and Recognition in Taiwan Fish Market using Deep Learning Techniques

    C. H. Chen, L. H. Chen, C. Y. Chen

    Journal of Imaging Science and Technology, 65(4), 040403 · doi:10.2352/J.ImagingSci.Technol.2021.65.4.040403

    ↓ Download PDF
  • 2021

    A 3.5-tier container-based edge computing architecture

    C. H. Chen, C. T. Liu

    Computers and Electrical Engineering, vol. 93, 107227 · doi:10.1016/j.compeleceng.2021.107227

    ↓ Download PDF
  • 2021

    Person Re-Identification Microservice over Artificial Intelligence Internet of Things Edge Computing Gateway

    C. H. Chen, C. T. Liu

    Electronics, 10(18), 2264

    ↓ Download PDF
  • 2021

    Indoor Positioning Using Magnetic Fingerprint Map Captured by Magnetic Sensor Array

    C. H. Chen, P. W. Chen, P. J. Chen, T. H. Liu

    Sensors, 21(17), 5707

    ↓ Download PDF
  • 2021

    Cooperative People Tracking by Distributed Cameras Network

    Y. C. Wu, C. H. Chen, Y. T. Chiu, P. W. Chen

    Electronics, 10(15), 1780

    ↓ Download PDF
  • 2021

    CellS: A Cell-Inspired Efficient Software Framework for AI-Enabled Application on Resources-Constrained Mobile System

    C. H. Chen, M. C. Wu

    Electronics, 10(5), 568

    ↓ Download PDF
  • 2020

    Fingerprint Quality Assessment Based on Texture and Geometric Features

    C. H. Chen, C. S. An, C. Y. Chen

    Journal of Imaging Science and Technology, 64(4)

    ↓ Download PDF
  • 2019

    Singular Points Detection in Fingerprints Based on Poincare Index and Local Binary Patterns

    C. H. Chen, C. Y. Chen, T. M. Hsu

    Journal of Imaging Science and Technology, 63(3), 030401

    ↓ Download PDF
  • 2018

    Edge Computing Gateway of the Industrial Internet of Things Using Multiple Collaborative Microcontrollers

    C. H. Chen, M. Y. Lin, C. C. Liu

    IEEE Network, 32(1), 24–32

    ↓ Download PDF

Conference Papers(9)

  • 2026

    RYv8_BNH: A 10 μs Ultra-Low-Power Binarized YOLOv8 Accelerator for Smart Home Edge AI

    C. H. Chen, B. J. Chen, Y. A. Shen

    ICRAS 2026 · Kyoto, Japan · 12–14 Jun 2026

  • 2026

    An FPGA based Spiking Neural Network Accelerator for Real-Time ECG Anomaly Detection with RISC-V Control

    W. J. Huang, C. H. Chen

    IEEE ICCE-TW 2026 · Taoyuan · 1–3 Jul 2026

  • 2026

    An Explainable Pit Bull-Type Dog Breed Identification System Using Vision-Language Models and Official Breed Standards

    Y. K. Chiang, C. H. Chen, W. J. Huang

    IEEE ICCE-TW 2026 · Taoyuan · 1–3 Jul 2026

  • 2025

    Human-AI Collaborative Design of ReActNet-XGBoost Hardware Accelerator for Personalized Wearable ECG Monitoring

    C. H. Chen, J. S. Hsiao, K. S. Lin

    IEEE ICTAI 2025 · Athens, Greece · 3–5 Nov 2025

  • 2025

    Architecting Intelligence: A Structured Framework for High-Efficiency Multi-Agent LLM Collaboration

    C. W. Teng, C. H. Chen

    IEEE ICCE-TW 2025 · Kaohsiung · 16–18 Jul 2025

  • 2024

    ERCNet: Enhancing ReActNet with a Compact ECA Branch

    Y. T. Chen, C. H. Chen

    IEEE ICCE-TW 2024 · Taichung · 9–11 Jul 2024

  • 2024

    ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency

    P. H. Chu, C. H. Chen

    IEEE ICCE-TW 2024 · Taichung · 9–11 Jul 2024

  • 2022

    Intelligent Industrial Controller Network Based on Modbus Fieldbus

    C. H. Chen, W. L. Chang, M. Y. Hsieh

    IEEE/ASME MESA 2022 · Taipei · 28–30 Nov 2022

  • 2020

    A Navigation Aid for Blind People Based on Visual Simultaneous Localization and Mapping

    C. H. Chen, C. C. Wang, S. F. Lin

    IEEE ICCE-TW 2020 · Taoyuan · 28–30 Sep 2020

Supervised Theses 2023–2026

指導論文研究主題

Research topics of recently completed M.S. theses at the MIAT Laboratory, grouped by technical area. Thesis titles are shown in their original language (Chinese).

250+
Supervised theses
30
M.S. theses, 2020–2025
25
On-the-job M.S. theses
2
Ph.D. dissertations

AI Robotics & Automation

AI 機器人與自動化

Care robots · UAV systems · robotic arms

9 theses
  • 2026空間關聯獎勵塑形於深度強化學習無人機連續門框穿越任務
  • 2026基於 YOLO26 的無人機視覺系統開發和部署
  • 2025整合 YOLOv11-Pose 與 ByteTrack 之老年照護自主跟隨機器人
  • 2024RISC-V 機械手臂控制系統晶片多軸運動控制硬體加速器開發
  • 2024RISC-V 機械手臂控制系統晶片軟硬體共同設計
  • 2024基於 ROS 2.0 的 AGV 棧板對接位導航系統設計
  • 2024應用深度強化學習於多機械手臂協作
  • 2024基於區塊鏈的多機器人協作地圖探索
  • 2023TPRAI 教育機器人:一個兒童資訊學習互動夥伴

AIoT

AI 物聯網

Smart-home IoT · UAV applications · sensing & control networks

10 theses
  • 2026基於 MIAT 方法論之 micro-ROS 逆向工程與通訊驗證
  • 2026MIAT-DDS:自動化生成 XRCE-DDS 中介軟體程式碼的多 AI 代理框架
  • 2025DDS 通訊協定系統晶片軟硬體共同設計
  • 2025電子書閱讀器平台系統設計
  • 2025居家長照 AI 物聯網之 DDS 通訊網路開發和佈署平台
  • 2025應用於 AIoT 的 DDS 攝影機網路設計與實作
  • 2024無人機網路 DDS 通訊協定中介軟體開發和應用
  • 2024基於磁感測陣列的磁力異常探勘系統
  • 2024慣性和地磁感測陣列的無人機導航
  • 2023Farmbot 智慧感測控制網路設計與實作

IC Design & AI Accelerators

IC 設計 / AI 晶片 / 硬體加速

AI sensors · AI accelerator chips

9 theses
  • 2026基於 MIAT 方法論與本地端語言模型之多代理人嵌入式軟體輔助設計框架
  • 2026基於單階特徵蒸餾之即時影像強化硬體加速器設計
  • 2025基於 ReActNet 主幹 YOLOv8 硬體加速設計
  • 2025ReActNet-XGBoost 硬體加速器設計與實現
  • 2024應用於邊緣裝置的機器學習系統晶片軟硬體共同開發
  • 2024低硬體資源需求的 CNN-XGB 分類器設計
  • 2024BB-YOLO:基於二值主幹網路之 YOLO 物件偵測硬體加速器設計與實現
  • 2024TinyissimoYOLOv5-P4-DA_A
  • 2024ERCNet:以精簡的 ECA 分支增強 ReActNet

Edge AI & Embedded Systems

邊緣 AI / 嵌入式系統

Object detection & recognition · behavior monitoring · contactless physiology · biometrics · document analysis

21 theses
  • 2026Gated-TRM:基於學習式候選重排序之多代理人路徑規劃系統設計
  • 2026注意力機制導向 YOLO 嵌入式邊緣視覺系統設計
  • 2026結合波束形成與深度學習之多通道聽障輔助系統設計
  • 2026結合幾何規則與視覺語意模型之復健代償動作偵測系統
  • 2026基於流形約束特徵處理控制之品質感知自適應生物特徵識別
  • 2026結合可解釋視覺語言蒸餾與度量學習之管制犬種細粒度辨識
  • 2026基於 VLM 特徵原子化與品質感知動態融合之強健型犬隻識別
  • 2026應用於犬隻生物特徵註冊之邊緣 AI 品質感知取像框架
  • 2025多代理人系統架構設計方法論
  • 2025LLM 輔助複雜系統設計之 MIAT 方法論知識圖譜建構
  • 2025聲音感測網路的居家活動異常辨識
  • 2025基於 TSMamba 深度學習模型的 3D NAND 快閃記憶體異常偵測
  • 2025HiL 非接觸式老人照護活動監測系統
  • 2025使用 3D CNN 和 Mamba 模型的非接觸式心率量測
  • 2024無人機磁力探勘與異常視覺化分析系統
  • 2023融合狗臉和體型雙模態特徵的比特犬辨識
  • 2023使用距離度量學習的狗鼻紋識別系統設計與實作
  • 2023單目視覺於智慧倉儲的棧板辨識
  • 2023使用二階段度量學習的中文離線簽名辨識
  • 2023基於 Transformer 架構之繁體中文場景文字辨識
  • 2023應用駕駛行為特徵於車輛再識別技術

AI Applications · Humanities AI

人工智慧應用(人文 AI)

Precision long-term care · precision medicine · precision education · MIAT 2.0

12 theses
  • 2026結構感知之診斷式混合式擴增檢索後處理框架
  • 2025多模態情緒特徵估測早期憂鬱症
  • 2025基於知識圖譜的嵌入式居家健康照護語音對話系統
  • 2025基於 LLM 和知識圖譜的兒童知識閱讀管理
  • 2025大型語言模型增強人機協作知識圖譜建構
  • 2025結合知識圖譜與 LLM 的投資機器人
  • 2024結合知識圖譜和大型語言模型的知識管理平台開發
  • 2024獎勵化約法(R3D):一個新的強化學習複雜任務高效獎勵設計方法
  • 2023幼兒學習人機對話系統設計與實作
  • 2023TPRAI 線上 AI 輔助教育系統開發
  • 2023結合 AI 對話的線上討論區系統開發
  • 2023利用遞迴神經網路與自編碼器實現硬碟預測式維護

Invited Talks

學術演講

Recent invited talks on AI and the humanities. Full transcripts available for download (DOCX).

  • 2026-04-16

    Humanistic AI Education in an Age of Uncertainty

    College of Liberal Arts, National Central University

    ↓ Download transcript (DOCX)
  • 2026-04-10

    Systems Engineering for Multi-Agent Systems: From Vibe Coding to Agentic Engineering

    Dept. of Computer Science & Engineering, Yuan Ze University

    ↓ Download transcript (DOCX)
  • 2026-03-26

    Solopreneur: An Alternative Career Path for Liberal-Arts Students in the AI Era

    College of Liberal Arts, National Central University

    ↓ Download transcript (DOCX)
  • 2025-10-22

    Rethinking the Nature of AI: From Merleau-Ponty’s Embodied Phenomenology to Ant Colony Intelligence

    Institute of Philosophy, National Central University — Humanistic AI Forum

    ↓ Download transcript (DOCX)
  • 2025-09-24

    Incorporating Personalized Knowledge into Large Language Models

    College of Liberal Arts, National Central University — Humanistic AI Forum

    ↓ Download transcript (DOCX)
  • 2025-09-19

    From Large Language Models to Ant Colony Intelligence

    Dept. of Electrical Engineering, National Yunlin University of Science and Technology

    ↓ Download transcript (DOCX)

Research Demos

研究成果展示

Selected demo videos of research results over the years.

Research Demo

Research Demo Video (1)

Research Demo

Research Demo Video (2)

Long-Term-Care AI & Robotics 2026

MIAT Lab Long-Term-Care AI Agent Robot 2026

A long-term-care AI agent robot built on LLMs and knowledge graphs, integrating home monitoring and voice interaction to support seniors living alone.

Join the Lab

加入實驗室

For students considering the MIAT Laboratory: the full training path, research topics, and how to apply.

The MIAT Laboratory welcomes five M.S. students, five part-time M.S. students, and four undergraduate project students each year, across a dozen research topics in AI robotics, AIoT, edge-AI chips, and humanities AI; Ph.D. research centers on MIAT Methodology 2.0 for human–AI collaborative complex-system design.

  • M.S. / Part-time M.S.

    Topic-based research tied to real practice — see “Supervised Theses” for recent titles; most topics connect directly to industry projects.

  • Ph.D.

    Research centers on MIAT Methodology 2.0 — an LLM-driven multi-agent HW/SW co-design automation platform, implemented on FPGA, RISC-V, and embedded systems.

  • Undergraduate Projects

    Hands-on projects that introduce the lab’s research methods and development workflow as a bridge into graduate study.

Training Path

  1. 01

    Learn the Methodology

    Hierarchical decomposition with IDEF0 and discrete-event modeling with GRAFCET, plus prompt engineering and LLM-hallucination avoidance.

  2. 02

    Intensive Seasonal Training

    A 2–3 day bootcamp right after each semester, rehearsing specification analysis → architecture decomposition → behavior modeling → human–AI co-synthesis.

  3. 03

    Hands-On Implementation

    Build system software on MCUs (non-OS/RTOS) or design hardware on FPGAs, with HW/SW integration and verification.

  4. 04

    Choose an Application Area

    Intelligent robotics, industrial & health AIoT, enterprise AI agents, and AI chips & hardware accelerators.

Teaching

教學

Teaching follows the same path as research: first establish a reproducible design methodology, then let students verify it on real system-level problems. The MIAT methodology is embedded in courses such as Introduction to Digital Systems, Embedded System Design, and Robot Design, and intensive winter/summer training walks students through the full design lifecycle, from specification analysis to human–AI collaborative synthesis.

  • Introduction to Digital Systems

    數位系統導論
  • Embedded System Design

    嵌入式系統設計
  • Robot Design

    機器人設計
  • Embedded Software

    嵌入式軟體
  • Embedded Vision

    嵌入式視覺
  • Computer Vision

    電腦視覺
  • Biometrics

    生物辨識
  • Neural Networks

    類神經網路
  • Numerical Analysis

    數值分析
  • Digital Systems Laboratory

    數位系統實驗
  • C/C++ Programming

    C/C++ 程式設計
  • Java Network Programming

    Java 網路程式設計
  • Contemporary Systems Thinking

    當代系統科學思想
  • High-Tech Entrepreneurship & R&D Management

    高科技創業與研發管理

Literary Work

文學創作

Born in 1963 in Yangzhai, Kinmen. Alongside embedded systems and AI, he has long written essays, fiction, and poetry about his home island — work recognized by the Wu-Dao (Kinmen) Literature Awards and others.

Books

  • 《離散對話錄》

    2013

    Essays from the “Yujiang Night Talk” column, Kinmen Daily News, 2006–2007

  • 《金門村史─科甲聯登的村社陽翟》

    2018

Awards

  • 2026

    《浯楊》

    Global Chinese Literature Xingyun Award — Historical Novel, Third Prize

  • 2026

    《阿鳳上學》

    MOE Literature & Arts Creation Award — Short Story, Excellence Award

  • 2025

    《金沙溪》

    Wu-Dao Literature Award — Poetry, Excellence Award

  • 2025

    《閱讀一座島嶼》

    Wu-Dao Literature Award — Essay, Excellence Award

  • 2023

    《時間的秩序》

    19th Wu-Dao Literature Award — Essay, First Prize

  • 2018

    《四月麥田》

    15th Wu-Dao Literature Award — Short Story, First Prize

Milestones

重要紀事

  1. 1963

    Born in Yangzhai, Kinmen; studied geophysics at National Central University (B.S. and M.S.).

  2. 1991

    Studied in France, earning a Ph.D. in Computer & Automation Engineering from the Université de Franche-Comté (1995).

  3. 1995

    Returned to Taiwan as a postdoctoral researcher at NTU’s Center for Global Change Research, then joined I-Shou University.

  4. 1996

    Founded the MIAT Laboratory and began building the MIAT system-design methodology.

  5. 2006

    Joined the Department of CSIE at National Central University; now Professor.

  6. 2011–2014

    Served as Director of the IP & Technology Transfer Division, Office of R&D, NCU.

  7. 2018

    Published the Kinmen Village History; First Prize, Short Story, 15th Wu-Dao Literature Award (April Wheat Field).

  8. 2020–2025

    Supervised 2 Ph.D., 30 M.S., and 25 on-the-job M.S. theses; co-founded the NCU–町洋 Joint R&D Center and the Long-Term-Care AIoT Industry–University R&D Center, and spun off two startups.

  9. 2023–2026

    Led the three-year NSTC project on FPGA-based YOLO hardware accelerators.

  10. 2024

    Integrated large language models into the methodology — MIAT Methodology 2.0 for human–AI collaborative complex-system design.

  11. 2026

    Launched the multi-agent HW/SW co-design automation platform project; received the MOE Literature & Arts Creation Award and the Global Chinese Literature Xingyun Award.

Collaboration

合作機會

Companies looking for an R&D partner and scholars seeking international collaboration are all welcome to get in touch.

For Industry

Industry Collaboration

Fifteen industry projects in the last five years with seven companies; joint R&D centers endowed with industry partners (NCU–町洋 Joint R&D Lab; Long-Term-Care AIoT Center); two spin-off startups. Write to us with a company profile and your needs.

  • Joint R&D projects
  • Technology transfer
  • Joint R&D laboratories
  • Proof-of-concept & consulting
Start a conversation →

For International Scholars

International Collaboration

We welcome joint research proposals, visiting scholars, student exchanges, and co-supervision. Core areas: edge-AI hardware accelerators, UAV flight-control SoCs, long-term-care AI & robotics, and knowledge-graph-based humanities AI. This site is fully bilingual; English research summaries are available on request.

  • Joint research proposals
  • Visiting scholars
  • Student exchange & internships
  • Co-supervision & joint publications
Start a conversation →

Contact

聯絡資訊

For graduate supervision, industry collaboration, and technology transfer — please get in touch by email.

  • pierre@g.ncu.edu.tw
  • +886-3-4227151 ext. 35211
  • Dept. of CSIE, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City 320, Taiwan
Email Me (Gmail)

Profiles & Pages