Intelligent Manufacturing with Photonics & AI

From optical inspection to ultrafast laser systems, we build deployable technologies for precision industry.

Our research connects photonics, physics-guided learning, and manufacturing intelligence to create robust solutions for defect analysis, process control, and advanced industrial applications.

Physics-Driven AI

AI models that integrate physical constraints for prediction, inverse design, and robust decision-making in complex manufacturing systems.

Optical Inspection

Precision optical metrology for defect detection, quality assessment, and real-time manufacturing feedback.

Ultrafast Laser Processing

Ultrashort-pulse laser technologies for precision machining, surface modification, and photonic device applications.

Real-Time Control

Adaptive process control that links sensing, modeling, and manufacturing optimization in real time.


News & Awards

Highlights

Recent Timeline


    Research


    About Prof. Hung-Wen Chen (陳鴻文)

    Dr. Chen is an Associate Professor in the International Intercollegiate Ph.D. Program at NTHU, with joint appointments in the Institute of Photonics Technologies, Industrial Engineering and Engineering Management, and the Ph.D. Program in Precision Medicine. In 2026, he was invited to serve as a Visiting Scholar at MIT and the Broad Institute of MIT and Harvard.

    After receiving his Ph.D. in EECS from MIT in 2014, he co-founded a startup in Wuhan Optical Valley and later joined Delta Electronics to establish the Advanced Green Photonics Center. His work spans optical inspection, intelligent laser systems, and the translation of interdisciplinary research into deployable technologies.

    HW Group brings together photonics, optical inspection, physics-driven AI, and system-level engineering to create research with both academic depth and real-world industrial impact.

    Education

    • Ph.D. in Electrical Engineering and Computer Science, MIT
    • M.S. in Photonics and Optoelectronics, National Taiwan University
    • B.S. in Physics, National Taiwan University

    Current Positions

    • Associate Professor, iPhD Program, NTHU
    • Joint Appointed Professor, IPT / IEEM / Precision Medicine Program, NTHU
    • Research Consultant, Center for Measurement Standards, ITRI
    • University Ambassador and Certified Instructor, NVIDIA DLI

    Research Focus

    • Smart manufacturing and smart healthcare
    • Ultra-precision laser machining and optical inspection
    • Artificial intelligence, AOI, and physics-driven modeling
    • Robotics and automation for deployable systems

    Selected Honors

    • 2025未來科技獎 (2025 FutureTech Award)
    • 第21屆國家新創獎 - 學研新創 (2024 21st National Innovation Award, Academic Innovation Category)
    • 衛生福利部113年度防疫績優個人獎 (2024 Award for Outstanding Individual in Epidemic Prevention, Ministry of Health and Welfare)
    • 2023年度台達年輕學者科技講座 - 智慧製造領域 (2023 Delta Young Technology Scholar Award in Smart Manufacturing)
    • 2023未來科技獎 (2023 FutureTech Award)
    • 第19屆國家新創獎 - 學研新創 (2022 19th National Innovation Award, Academic Innovation Category)
    • 玉山青年學者 (2020 Yushan Young Scholar)

    Team

    An interdisciplinary team spanning photonics, AI, engineering, medicine, and industry.


    Publications


    m'AI Touch logo

    Building on this foundation, our 2023 spin-off, m’AI Touch Technology Co., Ltd., successfully commercialized AI-powered touchless elevator systems. Now widely adopted across Taiwan, this technology is evolving into a comprehensive smart infrastructure platform featuring remote calling, robot access, and ESG energy-saving analytics.

    m'AI Touch contactless elevator device showcase

    Teaching

    2026

    Fall 2026

    • 深度學習於生醫光學影像之應用

      Deep Learning in Biomedical Optical Imaging 11510IPT553000

    • 企業家精神與創業管理

      Entrepreneurship and New Venture 11510IMBA400200

    • 先進製造技術

      Advanced Manufacturing Technology 11510EMIM501300

    Spring 2026

    • 新團隊的企業決策管理

      Business Decision Making for New Organization 11420IMBA400500

    2025

    Fall 2025

    • 科技旅讀:電腦、人工智慧、機器人

      Travel and Reading for Technology: Computers, AI, and Robotics 11410IPHD400400

    • 深度學習於生醫光學影像之應用

      Deep Learning in Biomedical Optical Imaging 11410IPT553000

    • 大數據技術實務應用

      Big Data Analytics and Practices 11410EMIM501200

    Spring 2025

    • 淨零排放與商業模式創新

      Net-Zero Emissions and Business Model Innovation 11320IPHD400300

    • 深度學習及產業應用

      Deep Learning for Industrial Applications 11320IEEM513600

    2024

    Fall 2024

    • 深度學習於生醫光學影像之應用

      Deep Learning in Biomedical Optical Imaging 11310IPT553000

    • 先進雷射微奈米加工--原理及應用

      Advanced Laser Micro/Nano-Manufacturing: Working Principles and Applications 11310IPHD501700

    Spring 2024

    • 永續商業模式創新

      Business Model Innovations for Sustainability 11220IPHD400200

    • 深度學習及產業應用

      Deep Learning for Industrial Applications 11220IEEM513600

    2023

    Fall 2023

    • 深度學習於生醫光學影像之應用

      Deep Learning in Biomedical Optical Imaging 11210IPT553000

    Spring 2023

    • 科技旅讀:科學園區電腦之旅

      Travel and Reading for Technology: A Computer's Journey in the Science Park 11120THC102000

    2022

    Fall 2022

    • 創新創業學程導論

      Introduction to Innovation and Entrepreneurship Program 11110IPHD400100

    Spring 2022

    • 工業雷射加工--原理及應用

      Industrial Laser Machining: Working Principles and Applications 11120IPHD501100

    2021

    Fall 2021

    • 深度學習於生醫光學影像之應用

      Deep Learning in Biomedical Optical Imaging 11010IPT553000

    Spring 2021

    • 先進製造技術

      Advanced Manufacturing Technology 10920EMIM501300

    • 深度學習概論

      Introduction to Deep Learning 10920IPHD501400

    2020

    Fall 2020

    • 工業雷射加工--原理及應用

      Industrial Laser Machining Working Principles and Applications 10910IPHD501100


    Contact

    Room A604, Side B, General Building Ⅱ (iPHD)
    No. 101, Section 2, Kuang-Fu Road, Hsinchu, Taiwan
    hungwen@mx.nthu.edu.tw

    Leveraging these strong industrial ties, our lab offers a unique ecosystem for both academic and commercial impact. I am actively recruiting highly motivated students eager to engage in interdisciplinary research and deep-tech commercialization (please email me your CV).

    We also welcome industrial partners for joint research, technology transfers, and consulting.