Projects per year
Personal profile
Education
- Ph.D. in Communications Engineering, National Tsing Hua University
- B.S. in Electrical Engineering, National Tsing Hua University
Research Interests
- blind signal processing / unsupervised machine learning
- hyperspectral image processing
- quantum image processing
- fast algorithm / big data optimization theory
- deep learning
- convex optimization
- 5G/6G wireless communications
- satellite remote sensing
- bio-informatics / biomedical imaging
Experience
- 2022 - present Associate Professor, Department of Electrical Engineering, National Cheng Kung University
- 2019 - 2022 Assistant Professor, Department of Electrical Engineering, National Cheng Kung University
- 2018-2019 Assistant Professor, National Central University
- 2017-2018 Postdoctoral Researcher, University of Lisbon, Portugal
- 2017 Visiting Scholar, The Chinese Univ. of Hong Kong
- 2016-2017 Postdoctoral Researcher, National Tsing Hua University
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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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(5/5)
22-08-01 → 23-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(4/5)
21-08-01 → 22-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(3/5)
20-08-01 → 21-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(2/5)
19-08-01 → 20-07-31
Project: Research project
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Advanced Blind Source Separation and Hyperspectral Super-resolution Imaging via Convex Geometry and Big Data Optimization(1/5)
18-08-01 → 19-08-31
Project: Research project
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Hyperspectral Tensor Completion Using Low-Rank Modeling and Convex Functional Analysis
Lin, C. H., Liu, Y., Chi, C. Y., Hsu, C. C., Ren, H. & Quek, T. Q. S., 2023, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
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ADMM-ADAM: A New Inverse Imaging Framework Blending the Advantages of Convex Optimization and Deep Learning
Lin, C. H., Lin, Y. C. & Tang, P. W., 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60Research output: Contribution to journal › Article › peer-review
10 Citations (Scopus) -
A fast multidimensional data fusion algorithm for hyperspectral spatiotemporal super-resolution
Chuan, P-C., Lin, J-T., Lin, C-H., Tang, P-W. & Liu, Y., 2022 Sept 13, (Accepted/In press) IEEE WHISPERS. Rome, ItalyResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Fast Multidimensional Data Fusion Algorithm for Hyperspectral Spatiotemporal Super-Resolution
Chang, P. C., Lin, J. T., Lin, C. H., Tang, P. W. & Liu, Y., 2022, 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2022. IEEE Computer Society, (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; vol. 2022-September).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A total solutioning workflow for sample processing and precise nuclei quantification in 3D tumor spheroids using unsupervised algorithm
Yu, C-H., Leng, Z-C., Liu, Y., Huang, J-Y., Lin, C-H. & Tu, T-Y., 2022 Jul 10, (Accepted/In press) World Congress of Biomechanics. Taipei, TaiwanResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution