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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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 14 Life Below Water
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 30 Finished
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Vi Sual-Guided Robot Arm Grasping System Using Self-Supervised Deep Reinforcement Learning
Lien, J.J.-J. (PI)
22-08-01 → 23-07-31
Project: Research project
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在嵌入式平台上實現角度大小位置不變之平行化模板匹配技術於視覺導引機器手臂抓取
Lien, J.J.-J. (PI)
19-08-01 → 20-07-31
Project: Research project
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Visual-Guided Robot Arm Calibration and Control Using Deep Learning
Lien, J.J.-J. (PI)
18-08-01 → 19-07-31
Project: Research project
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A Clinically Aligned Two-Stage Machine Learning Framework for Predicting Hungry Bone Syndrome After Parathyroidectomy
Yin, S. M., Lin, Y. C., Hung, T. H., Chou, S. E., Chi, S. Y., Chou, F. F., Wu, Y. J., Wu, S. Y., Lien, J. J. J., Kuo, P. C. & Chan, Y. C., 2026 Sept, In: Endocrinology, Diabetes and Metabolism. 9, 5, e70297.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
A Deep Learning-Integrated Framework for Operational Rip Current Warning
Chuang, L. Z. H., Chen, M. & Lien, J. J. J., 2026 Mar, In: Journal of Marine Science and Engineering. 14, 5, 496.Research output: Contribution to journal › Article › peer-review
Open Access -
Monocular 3D Volleyball Trajectory via Geometric Constraints
Hu, T. Y. & Lien, J. J. J., 2026, Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the 21st IIHMSP 2025 in Conjunction with the 5th SSIM 2025. Chu, S.-C., Pan, J.-S., Lu, T.-C., Virvou, M. & Sung, T.-W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 177-188 12 p. (Smart Innovation, Systems and Technologies; vol. 491 SIST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Optimizing graft weight prediction in living donor liver transplantation: a machine learning approach integrating pathologic, radiological and biological factors
Yin, S. M., Chuang, P. C., Lin, Y. H., Chih-Yi Chen, I., Cheng, Y. F., Guo, S. M., Liu, T. T., Chen, C. L., James Lien, J. J. & Ou, H. Y., 2026 Aug, In: HPB. 28, 8, p. 1076-1085 10 p.Research output: Contribution to journal › Article › peer-review
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Volleyball Lineup Recommendation using GraphSAGE with Knowledge Distillation and Feature-Aware Modeling
Lin, W. C., Lien, J. J. J. & Chang, Y. N., 2026, 2026 International Conference on Advances in Artificial Intelligence and Machine Learning, AAIML 2026. Institute of Electrical and Electronics Engineers Inc., p. 995-1002 8 p. (2026 International Conference on Advances in Artificial Intelligence and Machine Learning, AAIML 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution