We extend a warm welcome to those passionate about computer vision, image processing, data analysis, or federated learning. If you're interested, kindly send an email to me. Thank you!

My Research Interests

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    Computer Vision, Image Processing

    Our research involves object detection, domain adaptation, and infrared nighttime surveillance for more accurate and efficient image analysis.

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    Big Data Analytics

    We specialize in environmental data analysis using neural network techniques, e.g., graph convolutional networks (GCN), to extract meaningful patterns and insights.

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    Federated Learning

    Our focus is on combining federated learning with computer vision tasks and designing efficient model aggregation algorithms for collaborative and privacy-preserving machine learning.

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    We actively develop diverse applications using blockchain technology to enhance security, transparency, and traceability across various parties.

About me


  1. National Yang Ming Chiao Tung University (NYCU), Taiwan

    2017 — 2023

    Ph.D, Institute of Computer Science and Engineering

  2. Technical University of Munich (TUM), Germany

    2011 — 2012

    Exchange student of Informatics

  3. National Chiao Tung University (NCTU), Taiwan


    MS, Institute of Multimedia Engineering

  4. National Chiao Tung University (NCTU), Taiwan


    BS, Department of Computer Science


  1. Assistant Professor

    2024 — Present

    Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan

  2. Assistant Researcher

    2015 — 2024.1

    National Center of High-performance Computing (NCHC), Taiwan

  3. Adjunct Assistant Professor

    2023 — 2024.1

    Department of Data Science and Big Data Analytics, Providence University, Taiwan

  4. Adjunct Lecturer

    2016 — 2022

    Department of Data Science and Big Data Analytics, Providence University, Taiwan

  5. Visiting Scholar

    2017.2 — 2017.8

    International Center for Advanced Internet Research (iCAIR), Northwestern University, U.S.

  6. Engineer


    DMO System Limited (start-up), Taiwan


  • Publications


    Peggy Joy Lu, Chia-Yung Jui and Jen-Hui Chuang (advisor), “A Privacy-Preserving Approach for Multi-Source Domain Adaptive Object Detection”, IEEE International Conference on Image Processing (ICIP), 2023.

    Peggy Joy Lu, Chia-Yung Jui, and Jen-Hui Chuang (advisor). “FedDAD: Federated Domain Adaptation for Object Detection“, IEEE Access, Vol 11, 2023, pp. 51320-51330.

    Peggy Joy Lu and Jen-Hui Chuang (advisor), “Communication-efficient Multi-source Domain Adaptive Object Detection under Privacy Constraints”, International Workshop on Computer Science and Engineering (WCSE), 2023.

    Peggy Joy Lu, Chia-Yung Jui and Jen-Hui Chuang (advisor), “Federated Multi-source Domain Adaptive Object Detection with Probabilistic Teacher” (Best Student Paper Award), International Conference on Industrial Application Engineering (ICIAE), 2023.

    盧沛怡, “基於風格轉換建置之領域自適性物件偵測模型於紅外線影像之應用”, ITAOI, 2023


    Peggy Joy Lu and Jen-Hui Chuang (advisor), “Fusion of Multi-Intensity Image for Deep Learning-Based Human and Face Detection“, IEEE Access, Vol. 10, 2022, pp. 8816-8823.

    Peggy Joy Lu and Jen-Hui Chuang (advisor), “Fourier domain adaptation for nighttime pedestrian detection using Faster R-CNN”, In: Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), 2022.

    Before 2020

    • Lo-Yao Yeh (advisor), Peggy Joy Lu, Szu-Hao Huang, Jiun-Long Huang (advisor), “SOChain: A privacy-preserving DDoS data exchange service over SOC consortium blockchain“, IEEE Transactions on Engineering Management (TEM), 2020, 67.4: 1487-1500.

    • Wei-Yu Chen, Peggy Joy Lu and Steven Shiau, “IPGOD: An Integrated Visualization Platform Based on Big Data Mining and Cloud Computing”, In: Proceedings of the International Conference on Big Data and Computing. 2019. p. 11-16.

    Peggy Joy Lu, Lo-Yao Yeh (advisor) and Jiun-Long Huang (advisor), “A privacy-preserving cross-organizational authentication/authorization/accounting system using blockchain technology”, In: IEEE International Conference on Communications (ICC). IEEE, 2018. p. 1-6.

    • Lo-Yao Yeh, Peggy Joy Lu and Jen-Wei Hu, “NCHC blockchain construction platform (NBCP): rapidly constructing blockchain nodes around Taiwan”, In: 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL). IEEE, 2017. p. 1-2.

    Peggy Joy Lu, Jen-Hui Chuang (advisor) and Horng-Horng Lin, “Intelligent nighttime video surveillance using multi-intensity infrared illuminator” (Award: Certificate of Merit for International Conference on Signal Processing and Imaging Engineering), In: Proceedings of the World Congress on Engineering and Computer Science. 2011. p. 19-21.

    Peggy Joy Lu, Jen-Hui Chuang (advisor), and Horng-Horng Lin, “Nighttime Human Detection Using a New Multi-Intensity Infrared Illuminator”, In: Proceedings of the CVGIP, 2011.



    • Method of Synchronous Deletion for Distributed Storage System, Lo-Yao Yeh, Peggy Joy Lu, Chia-Hsien Hung 美國, US11416449, 發照日期 2022年8月16日

    • Portable Biological Microscopic Image Analysis System, Chih-Hsieh Chiu, Chia-Yung Jui, Shu-Hui Hung, Peggy Joy Lu 美國, US11328419, 發照日期 2022年5月10日


    • 多攝影機領域自適性物件偵測系統及其偵測方法, 盧沛怡、莊仁輝 中華民國, 發照日期 2024年 (領證中)

    • 咳聲辨識方法及其系統, 盧沛怡、洪淑惠、芮嘉勇、郭漢彬、洪宗杰 中華民國, TWI798111, 發照日期 2023年4月1日

    • 分散式儲存系統之同步刪除方法, 葉羅堯、盧沛怡、洪嘉賢 中華民國, TWI710238, 發照日期 2020年11月11日

    • 一種可攜式生物顯微影像分析系統, 邱智賢,芮嘉勇,洪淑惠,盧沛怡 中華民國, TWM592975, 發照日期 2020年4月1日


2024 Spring

Deep learning in Computer Vision, Chung Cheng University, 2024 Spring

Previous Courses

資料庫系統 (Database Systems), Providence University, 2016-2023