彭辰皓 Chen-Hao Peng

NTU Center of Genomics and Precision Medicine-Bioinformatics and Biostatistics Core Lab
(02)2312-3456 #288685 chenhpeng@ntu.edu.tw

I specialize in applying artificial intelligence to medical imaging, bioinformatics, and smart manufacturing. My expertise lies in designing diagnostic models and predictive systems that integrate deep learning, clinical knowledge, and imaging principles, aiming to develop AI solutions that are both accurate and biologically meaningful. In the field of smart manufacturing, I also have hands-on experience integrating vision models into machine tools and robotic arms, effectively bridging algorithms with real-world operational workflows.
I warmly welcome scholars and industry professionals with shared interests to connect and explore potential collaborations.

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Work Experience

Research Associate

Bioinformatics and Biostatistics Core Lab, NTU Center of Genomics and Precision Medicine

Responsible for developing AI programs in the fields of medical imaging and bioinformatics, providing consulting on model architecture design, writing research proposals for the NSTC, and coordinating external collaborations. Also involved in mentoring master's students, guiding their experiments and research, and leading lab members in public competitions to enhance the team's practical and research capabilities.

02/2025 – Present

Research Assistant

Department of Nuclear Medicine, Tungs' Taichung MetroHarbor Hospital

Designed preprocessing pipelines for SPECT bone metastasis images, developed image segmentation and lesion detection frameworks, authored academic papers and final reports, and participated in frontend web development and visualization of research outcomes.

01/2024 – 01/2025

Research Assistant

Department of Dermatology, An-Nan Hospital

Focused on preprocessing dermoscopic images and developing classification models. Designed a research framework incorporating self-supervised learning and a two-stage supervised strategy to enhance model performance with limited labeled data. Integrated attention mechanisms into the YOLOv11 architecture to improve diagnostic accuracy and inference efficiency on edge devices. Also contributed to manuscript writing and developed an interactive clinical web platform.

07/2023 – 01/2025

Research Assistant

Department of Radiology, Kaohsiung Veterans General Hospital

Developed preprocessing pipelines and diagnostic models for chest X-ray classification across four categories: viral pneumonia, bacterial pneumonia, SARS-CoV-2 infection, and normal. Integrated attention mechanisms into YOLOv8 to optimize performance on low-resource devices and improve diagnostic accuracy. Also assisted with manuscript preparation and frontend development of a clinician-friendly web system.

04/2024 – 12/2024

Research Assistant

Department of Radiation Oncology, China Medical University Hospital

Led two major projects. The first involved building a smart diagnostic system and database for lung nodules based on the Taiwanese population, utilizing attention mechanisms and multimodal models for classification. The second focused on survival analysis and prediction in esophageal cancer, integrating ten years of clinical radiotherapy and cancer registry data to identify key risk factors and develop interpretable machine and deep learning models to support treatment decision-making.

02/2022 – 09/2024

Student Research Assistant

Department of Biomedical Imaging and Radiological Science, China Medical University

Assisted with laboratory teaching and operations, including classroom support and tutoring. Mentored junior lab members in experimental techniques and theoretical concepts. Participated in NSTC, hospital, and university-level project planning, report writing, academic presentations, journal paper submissions, and internal/external competitions to strengthen the team’s academic and practical capabilities.

06/2020 – 09/2024

Student Research Assistant

Department of Biomedical Engineering, China Medical University & Innovation Frontier Institute of Research for Science and Technology, National Taipei University of Technology

Served as lead developer and algorithm designer for Prof. Chien-Yueh Lee's NSTC project. Designed deep learning models and developed a microRNA target prediction system by integrating high-throughput biological data and constructing neural networks to identify miRNA-target interactions. Built a database and visualization interface to enhance usability and interpretability. Also contributed to metagenomics-based atherosclerosis risk prediction using 16S rRNA V3V4 sequencing, applying image transformation and CNNs to improve diagnostic accuracy and generalization.

06/2022 – 09/2024

Student Research Assistant

Department of Mechanical Engineering, National Chin-Yi University of Technology

Worked under Prof. Kai-Jung Chen on deep learning model development in smart manufacturing and biomedical signal analysis. Projects included preprocessing and feature extraction for acoustic emission and sound signals, optimization of CNC parameters, wafer defect detection, and tool wear prediction. Also contributed to biomedical projects such as liver elasticity modeling for alcoholic hepatitis and ophthalmic image diagnosis systems, and was responsible for writing papers, presentations, and research proposals.

07/2021 – 09/2024

Computer Vision Engineer

Hanyung Technology Co., Ltd.

Participated in the development and testing of a visual system for robotic laser engraving feeders. Designed deep learning models for part status and keypoint detection, aligned image and robotic coordinate systems, and deployed models into robotic control systems. Optimized model performance for edge deployment and created corresponding frontend interfaces.

03/2024 – 06/2024

Diagnostic Radiology / Radiotherapy / Nuclear Medicine Practicum Intern

Taipei Veterans General Hospital

Completed clinical rotations in diagnostic radiology, radiation oncology, and nuclear medicine. Participated in imaging and interpretation procedures, radiotherapy planning, and nuclear imaging and radiopharmaceutical preparation. This experience deepened understanding of cross-disciplinary clinical applications of medical imaging and improved hands-on and collaborative skills.

07/2022 – 01/2023

Education

China Medical University

College of Medicine – Master of Science
Department of Biomedical Imaging and Radiological Sciences

Advisor: Prof. Da-Chuan Cheng
Master's Thesis: Intelligent Diagnosis of Benign and Malignant Lung Nodules in CT Images: Exploring Voxel Normalization and Automatic Contour Fusion Methods
GPA: 4.3

07/2023 – 08/2024

China Medical University

College of Medicine – Bachelor of Science
Department of Biomedical Imaging and Radiological Sciences

GPA: 3.9162

07/2019 – 06/2023

China Medical University

Certificate Program in Artificial Intelligence in Medicine
07/2019 – 06/2023

China Medical University

Certificate Program in Biomedical Engineering
07/2019 – 06/2023

Professional Skills

Programming Languages & Tools
  • Python (PyTorch, TensorFlow, scikit-learn, OpenCV, FastAPI)
  • MATLAB, C/C++ (basic use)
  • HTML / CSS / JavaScript / Streamlit / Django / SQL (basic frontend development)
  • Git/GitHub, Linux, Docker, VS Code, Jupyter Lab
Machine Learning, AI & Deep Learning
  • Statistics, Feature Engineering, Radiomics, Feature Selection, Dimensionality Reduction & Visualization, Parameter Optimization
  • Self-supervised Learning, Unsupervised Learning, Semi-supervised Learning, Supervised Learning, Transfer Learning, Model Compression & Knowledge Distillation
  • Convolutional Neural Networks (CNN), Attention Mechanisms, Multimodal Models
  • Segmentation, Classification, Detection, Object Tracking
  • GANs (Image Restoration & Contrast Adjustment)
Application Domains & Research Experience
  • AI-assisted Diagnostic Models in Medical Imaging
  • Survival Analysis & Prognostic Risk Modeling
  • 16S rRNA, Metagenomics
  • microRNA, Genomics
  • Smart Manufacturing & Acoustic Signal Analysis
  • Traffic Image Applications
Other Practical Abilities
  • Clinical Image Preprocessing & Annotation Workflow Design
  • Automated Model Training & Hyperparameter Optimization
  • Proposal Writing, Final Reports, Journal Publications
  • Frontend Development & Data Visualization for Clinical Systems

Publications & Patents

Invention Patents

Patent No.: I853549
Method and System for Monitoring and Controlling Audio Signal Processing in Manufacturing Processes
Inventors: Ming-Yi Tsai, Kai-Jung Chen, Jung-Tsai Tsai, Chen-Hao Peng
Patent No.: Pending
Method and System for Intelligent Determination of Optimal Grinding Wheel Dressing Timing and Condition Based on Acoustic Emission Signals
Inventors: Ming-Yi Tsai, Kai-Jung Chen, Chun-Yen Chen, Chen-Hao Peng
Patent No.: Pending
Design Method of Intelligent Tesla Valve and Its Application in Proton Exchange Membrane Fuel Cells
Inventors: Kai-Jung Chen, Yen-Liang Yen, Chia-Yi Chan, Chen-Hao Peng

Conference Papers

  1. H.-T. Hsiung, H.-W. Chang, C.-H. Peng, H. Woo, “Machine Learning-Based Prediction of Heavy Truck Tire and Brake Drum Temperatures from Vehicle Parameters”, 2025 East Asian Science, Technology and Society, Surakarta, Indonesia
  2. C.-Y. Lee, C.-H. Peng, J.-Y. Chang, L.-C. Lai, T.-P. Lu, E.Y. Chuang, “Development of a deep learning-based approach for predicting microRNA targets and an integrated database”, The 6th Global Conference on Biomedical Engineering & Annual Meeting of TSBME 2024, Tainan, Taiwan
  3. J.-Y. Chang, C.-H. Peng, L.-C. Lai, T.-P. Lu, E. Y. Chuang, C.-Y. Lee “MiRSystem2: An Advanced Online Tool for Predicting MicroRNA Targets and Their Biological Functions/Pathways”, 2024 International Conference on Intelligent Biology and Medicine, Houston, Texas, USA
  4. J.-L. Fan‡, C.-H. Peng‡, D.-C. Cheng, Y.-C. Wang, “Cancer Survival Prediction Method Using Machine Learning and Deep Learning Models in Patients with Esophageal Squamous Cell Carcinoma,” The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing, Hualien, Taiwan
  5. J.-R. Wang‡, C.-H. Peng‡, Y.-J. Lee, N.-C. Tseng, D.-C. Cheng, “Unsupervised Automatic Staining Normalization and Intelligent Diagnosis of Lung Cancer Whole Slide Pathological Sections,” The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing, Hualien, Taiwan
  6. L.-H. Chen‡, C.-H. Peng‡, D.-C. Cheng, K.-J. Chen, “A Novel Multi-Classification Model for Colored Fundus Images Based on InceptionResNetV2 with Integrated Deep Features,” The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing, Hualien, Taiwan
  7. Y.-S. Pan‡, C.-H. Peng‡, C.-C. Hsiao, D.-C. Cheng, “Fully Automatic Breast Cancer Segmentation and Diagnosis: A Method Combining YOLOv8 and TinyVit,” The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing, Hualien, Taiwan
  8. K.-A. Hong‡, C.-H. Peng‡, N.-C. Tseng, D.-C. Cheng, “Enhancing Waste Classification Deep Learning Models Using Knowledge Distillation,” The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing, Hualien, Taiwan
  9. C.-H. Peng, H.-Y. Chen, D.-C. Cheng, E.Y. Chuang, C.-Y. Lee, “A CNN-based approach with efficient transfer learning improves microRNA-mRNA prediction,” American Association for Cancer Research Annual Meeting 2024, San Diego, California, USA
  10. C.-H. Peng, W.-T. He, C.-L. Liu, T.-P. Lu, E.Y. Chuang, J.-M. Liou, C.-Y. Lee, “Predicting Atherosclerosis Risk Using Gut Microbiota Composition and Gramian Angular Difference Field Conversion”, Taiwan Society of Microbiology Annual Meeting 2023
  11. C.-H. Peng, Jennifer Chen, H.-Y. Chen, E.Y. Chuang, C.-Y. Lee, “A groundbreaking prediction algorithm for microRNA-mRNA pairs employing a CNN-based deep learning model”, International Conference on Advanced Biomedical Sciences 2023
  12. H.-K. Chang, H.-Y. Zeng, S.-R. Teng, Z.-J. Chang, C.-H. Peng*, “Diagnosis of SARS-CoV-2 Using Blood Parameters: An Alternative Screening Approach for Early Detection”, The 34th Annual International Society for Medical Innovation and Technology Conference 2023
  13. C.-H. Peng, G. Zeng, J.-D. Leu, Y.-J. Lee, D.-C. Cheng, “Development of Computerized Reading and Scoring Program for Cofilin-1 Immunohistochemistry Stain”, The 16th Symposium of Medical Imaging and Radiological Sciences 2022
  14. C.-H. Peng, H.-Y. Chen, W.-S. Li, P.-Y. Wang, J.-C. Li, D.-C. Cheng, “Enhancing Deep Learning Model Performance for Garbage Classification through Knowledge Distillation”, Conference on Information Technology and Application in Outlying Islands 2022
  15. Y.-C. Yu.‡, C.-H. Peng‡, C.-Y. Lee, T.-C. Shih, D.-C. Cheng, T.-C. Wang, “AI-Precision Medicine Redefining Environmental Medicine: Predicting Noise-Induced Hearing Loss through Deep Learning-Based Feature Engineering”, Conference on Information Technology and Application in Outlying Islands 2022
  16. C.-H. Peng, C.-C. Hsiao, F.-Z. Wu, D.-C. Cheng, “Malignant and Benign Lung Nodule Classification Based on Low Dose CT Images”, Annual Meeting of Taiwanese Society of Biomedical Engineering-Annual Report of Ministry of Science and Technology 2021
  17. C.-H. Peng, D.-C. Cheng, Y.-J. Lee, “A Semi-Supervised Method to Classify Adenocarcinoma and Squamous Cell Carcinoma on Pathological Slides,” Annual Meeting of Taiwanese Society of Biomedical Engineering-Annual Report of Ministry of Science and Technology 2021

Journal Publications

  1. Z. Chang; G.-K. Xu; C.-H. Peng; K.-J. Chen; W. Liu, “Viscoelastic Mechanical Signature-Based Machine Learning for Assessment of Liver Fibrosis and Its Regression,” Int. J. Appl. Mech., 2024, [SCI, IF:2.9; Q2]
  2. Z. Chang‡, C.-H. Peng‡, K.-J. Chen., G.-K. Xu., “Enhancing liver fibrosis diagnosis and treatment assessment: a novel biomechanical markers-based machine learning approach,” Phys. Med. Biol., 2024, [SCI, IF:3.5; Q2]
  3. C.-C. Hsiao, C.-H. Peng, F.-Z. Wu, D.-C. Cheng, “Impact of Voxel Normalization on Machine Learning-Based Method: A Study on Pulmonary Nodule Malignancy Diagnosis Using LDCT,” Diagnostics, 2023, [SCI, IF:3.6; Q2]

Manuscripts Under Peer Review

  1. C.-H. Peng, J.-F. Wu, C.-J. Kuo, D.-C. Cheng, “Voxel Normalization in LDCT Imaging: Its Significance in Texture Feature Selection for Pulmonary Nodule Malignancy Classification: Insights from Two Centers”, Artificial Intelligence in Medicine, 2025, [SCI, IF:6.1; Q1]

Honors & Certifications

  • Finalist, 2025 Ministry of Transportation and Communications Highway Bureau Data Innovation Application Competition
  • Personally recognized by the President of Taiwan for the Outstanding Thesis Award
  • Outstanding Award (Top 7 in Biomedical Field), The 17th TSC Thesis Award (2024)
  • Finalist, 2024 Intelligent Manufacturing and Big Data Analytics Contest (IMBD2024)
  • 1st Place, Biomedical Engineering Academic Competition (2024)
  • 2nd Place, Biomedical Engineering Academic Competition (2024)
  • 3rd Place, Biomedical Engineering Academic Competition (2024)
  • Judicial Innovation Application Award, Lawsnote Legal & RegTech Hackathon (2023)
  • 1st Place, Golden Brain Research Presentation Competition, China Medical University College of Medicine (2022)
  • 3rd Place, EMI Program English Speaking Competition, China Medical University (2022)
  • 3rd Place, Biomedical Imaging Field, The 16th Symposium of Medical Imaging and Radiological Sciences (2022)
  • Merit Paper Award, 20th Conference on IT and Applications in Outlying Islands (2022)
  • Best Oral Presentation Award, Biomedical Imaging Field, TSBME 2021
  • Best Poster Presentation Award, Artificial Intelligence Field, TSBME 2021
  • Merit Award, Sustainable Innovation Hackathon (2021)
  • 3rd Place, U21 Creative Design and Invention Competition (2021)
  • Finalist, 2021 Intelligent Manufacturing and Big Data Analytics Contest (IMBD2021)
  • Merit Award, Golden Brain Research Presentation Competition, China Medical University College of Medicine (2021)
  • Student Member (Applied Microbiology), Taiwan Society of Microbiology, Taichung, Taiwan (12/2023 – 12/2024)
  • Associate Member (Radiation Science and Medicine), American Association for Cancer Research (AACR), Philadelphia, US (12/2023 – 12/2024)
  • Quantum Computing and Hybrid Quantum-Classical Machine Learning Workshop, Asia University, Taichung, Taiwan (04/2022 – 06/2022)