Projects per year
Personal profile
Education
- 1998 PhD, Electrical and Computer Engineering (ECE), University of Pittsburgh.
Research Interests
- 3D Automatic Optical Inspection
- Artificial Intelligence, Machine Learning and Deep Learning
- Embedded Computer Vision System
- Human-Computer Interaction and Augmented Reality
- Image Processing, 3D Computer Vision and Pattern Recognition
- Intelligent Robot Arm and Automation
- Intelligent Video Surveillance as a Service (VSaaS, Cloud Computing)
Experience
- 1993/01~1993/08 Engineer, Surface Systems, Inc. R&D, USA.
- 1995/05~1998/04 DARPA and NIMH Project Research Assistant, Robotics Institute, School of Computer Science, Carnegie Mellon University, USA.
- 1998/05~1998/12 DARPA and NIMH Project Research Scientist, Robotics Institute, School of Computer Science, Carnegie Mellon University, USA.
- 1999/01~2002/07 DARPA Surveillance Project Lead at R&D, L1-Identity Corporation, USA.
- 2002/08~present Assistant Professor; Associate Professor; Professor, Department of Computer Science and Information Engineering, National Cheng Kung University
- 2015/08~present Associate Chair; Director, Department of Computer Science and Information Engineering; Institute of Manufacturing Information and System, National Cheng Kung University
- 2017/02~present Engineers Deputy Secretary-general, Chinese Institute of Automation
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Projects
- 30 Finished
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Vi Sual-Guided Robot Arm Grasping System Using Self-Supervised Deep Reinforcement Learning
22-08-01 → 23-07-31
Project: Research project
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Visual-Guided Robot Arm Calibration and Control Using Deep Learning
18-08-01 → 19-07-31
Project: Research project
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A butterfly stroke swimming recording and performance analysis system based on computer vision and machine learning
Chern, Y. R., Chen, Y. H., Lin, F. S., Lin, H. C., Chen, G. T., Chu, C. P., Machtsiras, G., Huang, T. H., Lien, J. J. J. & Huang, C. H., 2025 Jun 30, In: Measurement: Journal of the International Measurement Confederation. 251, 117171.Research output: Contribution to journal › Article › peer-review
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False positive reduction for lung nodule detection using 3D Channel-Spatial attention model with multi-descriptor-based refinement
Yin, H. C., Chang, C. C., Wang, Z. W., Lin, C. Y., Yen, Y. T., Tseng, Y. L., Chen, J. C. & Lien, J. J. J., 2025 Jul 1, In: Expert Systems With Applications. 281, 127341.Research output: Contribution to journal › Article › peer-review
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Federated Online Learning with Filters for Lung Nodule Segmentation in Low-Dose Computed Tomography Images
Lee, C. S., Tseng, Y. L., Chang, C. C., Lin, C. Y., Yen, Y. T., Tu, C. T., Guo, S. M. & Lien, J. J. J., 2025, (Accepted/In press) In: IEEE Intelligent Systems.Research output: Contribution to journal › Article › peer-review
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Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study
Huang, C. Y., Yu, Y. T., Chen, K. L., Lien, J. J., Lin, G. H. & Hsieh, C. L., 2025, In: JMIR Formative Research. 9, e58421.Research output: Contribution to journal › Article › peer-review
Open Access -
Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT
Lin, C. Y., Guo, S. M., Lien, J. J. J., Lin, W. T., Liu, Y. S., Lai, C. H., Hsu, I. L., Chang, C. C. & Tseng, Y. L., 2024 Jan, In: Radiologia Medica. 129, 1, p. 56-69 14 p.Research output: Contribution to journal › Article › peer-review
Open Access27 Citations (Scopus)