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Faculties in Biomedical Engineering (Bioelectronics and Computer Science)

Associate Professor Chien-Chang Chen

Posted on: 2021-06-08
 

Lab Name：

Geometric Data Vision Laboratory

Office Location：

Research Center Phase II Room R3-407 (Feel free to knock on the door directly!)

Office Extension：

27721

Email：

gettgod@ncu.edu.tw

Lab Website：

http://in.ncu.edu.tw/~gettgod/introduction.htm

Specialties：

Geometric Deep Learning, Image Adversary and Concealment, Artificial General Intelligence

Education：

  1. Ph.D. in Electrical Engineering, National Chiao Tung University
    • Honorary Member of Phi Tau Phi Scholastic Honor Society
    • Best Graduation Thesis Award
  2. M.S. in Electrical Engineering, National Chiao Tung University
  3. B.S. in Physics, National Central University

Work Experience：

  1. 2021-Present: Associate Professor, Department of Biomedical Science and Engineering, National Central University
  2. 2015-2021: Assistant Professor, Department of Biomedical Science and Engineering, National Central University
  3. 2012-2015: Postdoctoral Researcher, Chiu Cheng-Tung Center for Medical Imaging Research Group, National Chiao Tung University
  4. 2011-2012: Senior Engineer, TSMC (Taiwan Semiconductor Manufacturing Company)
Book Chapter:
  1. Zi-Jun Su, Tang-Chen Chang, Yen-Ling Tai,  Shu-Jung Chang, Chien-Chang Chen*,  (2021) Attention U-Net with Dimension-Hybridized Fast Data Density Functional Theory for Automatic Brain Tumor Image Segmentation. In: Crimi A., Bakas S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Lecture Notes in Computer Science, vol 12659. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-72087-2_8
  2. Chien-Chang Chen, Hung-Hui Juan, Meng-Yuan Tsai, and Henry Horng-Shing Lu*. (2018) Bridging Density Functional Theory and Big Data Analytics with Applications. In: Härdle W., Lu HS., Shen X. (eds) Handbook of Big Data Analytics. Springer Handbooks of Computational Statistics. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-18284-1_15.


 Journals:
  1. Hsin-Yi Wang, Jing-Yang Liou, Chen Lin, Chien-Kun Ting, Wen-Kuei Chang, Men-Tzung Lo, Chien-Chang Chen*, “Thermodynamic Interpretation of a Machine-Learning-Based Response Surface Model and Its Application to Pharmacodynamic Synergy between Propofol and Opioids,” Mathematics, Vol, 10, pp. 1651, 2022. MOST 108-2221-E-008 -081-MY3. https://doi.org/10.3390/math10101651. (IF: 2.258, Q1: 92.88%)
  2. Hsin-Yi Wang, Chen Lin, Chien-Chang Chen, Wei-Nung Teng, Kun-Hui Chen, Men-Tzung Lo, Chien-Kun Ting, “Improvement in vocal-cord visualization with Trachway video intubating stylet using direct oxygen flow and effective analysis of the fraction of inspired oxygen: a bench study,” J. Clin. Monit. Comput., 2022. https://doi.org/10.1007/s10877-022-00818-0. (IF: 2.502, Q3)
  3. F.-S. Hsu, T.-C. Chang, Z.-J. Su, S.-J. Huang, and C.-C. Chen*, Smart Fall Detection Framework Using Hybridized Video and Ultrasonic Sensors. Micromachines 2021, 12, 508. https://doi.org/10.3390/mi12050508
  4. Tai Y-L, Huang S-J, Chen C-C, Lu HH-S*. Computational Complexity Reduction of Neural Networks of Brain Tumor Image Segmentation by Introducing Fermi–Dirac Correction Functions. Entropy. 2021; 23(2):223. https://doi.org/10.3390/e23020223
  5. Chien-Chang Chen, Meng-Yuan Tsai, Ming-Ze Kao, and Henry Horng-Shing Lu*, "Medical Image Segmentation with Adjustable Computational Complexity Using Data Density Functionals," Applied Sciences, Vol. 9, 1718, 2019. https://doi.org/10.3390/app9081718. (SCI, IF: 1.689, Ranking: 98/171 in multidisciplinary)
  6. Shin-Jhe Huang, Chi-Jui Wu, and Chien-Chang Chen*, "Pattern Recognition of Human Postures Using Data Density Functional Method," Applied Sciences, Vol. 8, 1615, 2018. https://doi.org/10.3390/app8091615.   (SCI, IF: 1.689, Ranking: 98/171 in multidisciplinary)
  7. Ming-Ze Kao, Dean Chou, and Chien-Chang Chen*, “Segmentation of Biomedical Imageries Using Data Density Functional Method,” Proteomics & Bioinformatics: Current Research, Vol.1, pp. 1-3, 2018. (Invited paper)
  8. Chi-Jui Wu, Shen-Jhe Huang, and Chien-Chang Chen*, “Method on Pattern Recognition of Various Limb Postures,” J. Biomed. Syst. Emerg. Technol., Vol. 5, 5 pages, 2018. (Invited paper)
  9. Chien-Chang Chen, Hung-Hui Juan, Meng-Yuan Tsai, and Henry Horng-Shing Lu*, "Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning," Scientific Reports, Vol. 8, 11 pages, 2018. https://doi.org/10.1038/s41598-017-18931-5. (SCI, IF: 4.122, Ranking: 12/64 in multidisciplinary sciences, cited: 2)
  10. Hua-Chiang Wen, Wu-Ching Chou, Po-Chen Lin, Yeau-Ren Jeng, Chien-Chang Chen, Hung-Ming Chen, Don Son Jiang, Chun-Hu Cheng, "Using nanoindentation to investigate the temperature cycling of Sn37Pb solders," Microelectronics Reliability, Vol. 78, pp. 111-117, 2017. https://doi.org/10.1016/j.microrel.2017.05.004.  (SCI, IF: 1.236, Ranking: 183/260 in engineering, electrical & electronic)
  11. 黃信哲、陳健章*、郭博昭、盧鴻興。"Human Body Pose Detection System with Unsupervised Recognition Learning. A Sensing System of Human Postures and Its Unsupervised Learning of Pattern Recognitions" 。Instrumentation Insights, Issue 213, Pages 16-29, 2017。(Invited paper)
  12. C. C. Chen* and Y. T. Cheng, “Physical Analysis of a Biomimetic Microphone with a Central-Supported (C-S) Circular Diaphragm for Sound Source Localization,” IEEE Sensors Journal, Vol.12, pp.1504-1512, May 2012. (SCI, Impact Factor: 1.475, Ranking: 89/243, cited: 18)
  13. C. C. Chen*, Y. C. Chen, Chin-Ta Chen, Hsu-Liang Hsiao, Chia-Chi Chang, Y. T. Cheng, and Mount-Learn Wu, “Thermal Analysis: VCSELs on a SiOB,” IEEE Journal of Selected Topics in Quantum Electronics, Vol. 17, pp.531-539, June 2011. (SCI, Impact Factor: 4.078, Ranking: 7/243, cited: 2)
  14. Y. C. Chen, C. C. Chen, W. Tu, Y. T. Cheng*, and F. G. Tseng, “Design and fabrication of a microplatform for the proximity effect study of localized ELF-EMF on the growth of in-vitro HeLa and PC-12 Cells,” Journal of Micromechanics and Microengineering, Vol. 20, pp.125023 (10pp), December 2010. (SCI, Impact Factor: 1.790, Ranking: 27/135, cited: 13)
  15. C. C. Chen, Lun-Hao Hsu, Kai Rern, Y. T. Cheng*, Yi-Fan Hsieh, and Pu-Wei Wu, “Gravity-Assisted Seeding Control for One-Dimensional Material Growth,” IEEE Transactions on Nanotechnology, Vol. 8, pp.427-430, July 2009. (SCI, Impact Factor: 1.800, Ranking: 45/128, cited: 1)
  16. Jingkuang Chen*, Xiaoyang Cheng, C. C. Chen, P.-C. Li, J.-H. Liu, and Y. T. Cheng, “A Capacitive Micromachined Ultrasonic Transducer Array for Minimally Invasive Medical Diagnosis,” IEEE/ASME Journal of Microelectromechanical Systems, Vol. 17, pp.599-610, June 2008. (SCI, Impact Factor: 1.922, Ranking: 49/246, 9/116, cited: 26) 
  17. C. C. Chen, Ssu-Ying Chen, and Y. T. Cheng*, “A Patterned Dielectric Support Process for High Performance Passive Fabrication”, IEEE Microwave and Wireless Components Letters, Vol. 18, pp.82-84, February 2008. (SCI, Impact Factor: 1.913, Ranking: 50/246, cited: 3) 
  18. Yu Wen Huang, Tzu-Yuan Chao, C. C. Chen, and Y. T. Cheng*, “Power consumption reduction scheme of magnetic microactuation using electroplated Cu–Ni nanocomposite”, Applied Physics Letters, Vol. 90, pp. 244105-244107, June 2007. (SCI, Impact Factor: 3.554, Ranking: 14/108, cited: 20)
  19. C. C. Chen, Cheng-De Lin, and Y. T. Cheng*, “Model to Determine the Self-Resonant Frequency of Micromachined Spiral Inductors”, Applied Physics Letters, Vol. 89, pp. 103521-103523, September 2006. (SCI, Impact Factor: 3.554, Ranking: 14/108, cited: 3) 
  20. C. C. Chen, J. K. Huang, and Y. T. Cheng*, “A Closed-Form Integral Model of the Spiral Inductor Using Kramers-Kronig Relations”, IEEE Microwave and Wireless Components Letters, Vol. 15, pp.778-780, November 2005. (SCI, Impact Factor: 1.913, Ranking: 50/246, cited: 9)
  21. J. W. Lin, C. C. Chen, and Y.-T. Cheng*, “A Robust High Q Micromachined RF Inductor for RFIC Applications”, IEEE Transactions on Electron Devices, Vol. 52, pp. 1489-1496, July 2005. (SCI, Impact Factor: 2.445, Ranking: 26/246, cited: 91)


Conference Papers:
  1. Lisa Li-Chuan Chen, Shen-Kai Wang, Tse-Yu Lin, Ling-Feng Huang, Men-Tzung Lo, Chien-Chang Chen*, “A Novel Telemedicine System to Traditional Tongue Examination for Chinese Medical Applications,” 2021 IEEE International Conference on Digital Health (ICDH), 5-10 Sept. 2021, Chicago, IL, USA. MOST 108-2221-E-008 -081-MY3. https://doi.org/10.1109/ICDH52753.2021.00055 (Oral)
  2. Zi-Jun Su, Tang-Chen Chang, Yen-Ling Tai, Shu-Jung Chang, and Chien-Chang Chen*, “Attention U-Net with Dimension-hybridized Fast Data Density Functional Theory for Automatic Brain Tumor Image Segmentation,” MICCAI BrainLesion Workshop, Peru, Lima, Oct. 10 (Online), 2020. MOST 108-2221-E-008 -081-MY3.
  3. Tang-Chen Chang, Zi-Jun Su, Shin-Jhe Huang, and Chien-Chang Chen*, “Smart Fall Detection Algorithm Using Hybridized Video and Ultrasonic Sensors” International Conference on Smart Sensors (ICSS), Kaohsiung, Taiwan, 10/19~10/20, 2020. Funding source：MOST 108-2221-E-008 -081-MY3. (Oral presentation)
  4. Po-Jui Chu, Wei-An Yang, Xiao-Cheng Lin, and Chien-Chang Chen*, “Three-dimensional Behavior Reconstruction of Zebrafish  Using Hybridized Deep Learning Methods,” International Conference on Smart Sensors (ICSS), Kaohsiung, Taiwan, 10/19~10/20, 2020. Funding source：MOST 108-2221-E-008 -081-MY3. (poster).
  5. Shin-Jhe Huang, Ming-Ze Kao, and Chien-Chang Chen*, Feature Extraction of Medical Images Using Data Density Functional Method. Symposium on Engineering, Medicine, and Biology Applications (SEMBA), Taoyuan, Taiwan, 20190301~20190303. (poster)
  6. Po-Jui Chu and Chien-Chang Chen*, Pattern Recognition of Moving Zebrafish using Fused Machine Learning Methods. 3rd Global Conference on Biomedical Engineering, Taoyuan, Taiwan, 11/30~12/2, 2018. (poster)
  7. Yin-Wei Chang, Zi-Jun Su, and Chien-Chang Chen*, Pattern Recognition of Human Gaits using Data Density Functional Method. 3rd Global Conference on Biomedical Engineering, Taoyuan, Taiwan, 11/30~12/2, 2018. (poster)
  8. Chien-Chang Chen and Yu-Ting Cheng*. Electrochemically Synthesized Nanocomposites for MEMS Device Performance Enhancement. 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), Qingdao, China, China. Funding source：MOST 107-2633-E-009-003.
  9. Ming-Ze Kao*, Min-Che Chung, Chien-Chang Chen, and Shu-Chen Liu, Magnet Halbach Arrays Induce Cell Cycle Redistribution of Cancer Cells. International Cancer Microenvironment Forum (ICMF), Portugal, Lisbon, 2018/6/10~6/14.
  10. Chien-Chang Chen* and Henry Horng-Shing Lu, Investigation of the Correlation between Life Time and Thermal Stress Using Creep Propagation Functional and Machine Learning Method, 2018 International Conference on Smart Sensors, Taipei, Taiwan, 2018/6/1~6/4.
  11. Ming-Ze Kao*, Min-Che Chung, Chien-Chang Chen, and Shu-Chen Liu, Magnet Halbach Arrays-Mediated Effects in Carcinoma Cells, The 23rd Taiwan Cancer Joint Academic Annual Conference, 2018/5/5~5/6.
  12. Ming-Ze Kao*, Min-Che Chung, Chien-Chang Chen, and Shu-Chen Liu, Magnet Halbach Arrays Induce Cell Cycle Redistribution of Cancer Cells, The 33rd Biomedical Joint Academic Annual Conference, 2018/3/24~3/25.
  13. Ming Ze Kao, Min-Che Chung, Chien-Chang Chen, and Shu-Chen Liu. MAGNET HAlBACH ARRAYS INDUCE CELL CYCLE REDISTRIBUTION OF CANCER CELLS. 2017 Biomedical Engineering Science and Technology Symposium, Taiwan, Taoyuan. Joint research project in collaboration with the Taiwan United University and Tri-Service General Hospital: VGHUST106-G4-2-2.
  14. 張光裕, 林曉逸, 陳健章。Exploration of a Microscale Ultrasonic Array Platform and Its Application in Detecting Patient Postures. 2017 Biomedical Engineering Science and Technology Symposium, Taiwan, Taoyuan. Joint research project in collaboration with the Taiwan United University and Tri-Service General Hospital: VGHUST106-G4-2-2。
  15. 鍾珉哲, 高銘澤, 劉淑貞, 陳健章。Application of a Cell Culturing Artificial Magnetic Field Micro-Experimental Platform to Implement the Prevention of Rapid Division in Cancer Cells. 2017 Biomedical Engineering Science and Technology Symposium, Taiwan, Taoyuan. Joint research project in collaboration with the Taiwan United University and Tri-Service General Hospital: VGHUST106-G4-2-2。
  16. 黃信哲, 吳基瑞, 陳健章。Utilizing Unsupervised Learning Algorithms for the Detection of Cough Reflex in Critically Ill Patients. 2017 Biomedical Engineering Science and Technology Symposium, Taiwan, Taoyuan. Joint research project in collaboration with the Taiwan United University and Tri-Service General Hospital: VGHUST106-G4-2-2。
  17. Chien-Chang Chen, Hung-Hui Juan, Meng-Yuan Tsai, and Henry Horng-Shing Lu*, Bridging density functional theory and big data analytics with applications, ICSA Applied Statistics Symposium, Atlanta, June 12-15, 2016.
  18. 黃信哲、陳健章、盧鴻興、郭博昭、許峰碩。Implementing Rapid Unsupervised Learning Clustering for Biomedical Feature Recognition Using MATLAB. 2016 MATLAB & Simulink Technical Summit. Best Paper Award.
  19. Chien-Chang Chen, Hung-Hui Juan, Meng-Yuan Tsai, and Henry Horng-Shing Lu, “Bridging Density Functional Theory and Big Data Analytics with Applications,” the Joint Statistical Meetings (JSM), Seattle, Washington, August 8–13, 2015.
  20. Shen-Jhe Haung, Chien-Chang Chen*, Terry B. J. Kuo, Henry Horng-Shing Lu, and Feng-shuo Hsu, "A Novel Machine Learning Technique for Time-dependent Biomedical Signal Analysis," 2015 BMES, Taipei. (Oral)
  21. Chien-Chang Chen*, Wei-Chen Wu, Ching Yu Chin, Hung-Ming Chen, Vito Lin, Eason Chen, "Mean-time-to-crack Model of Microbump Interconnect in FCGBA Package under Thermal Cyclic Test," 19th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC), pp.104-109, Berlin Germany, Sep. 25-27, 2013. (Oral)
  22. C. C. Chen*, Y. C. Chen, Keng-Yu Lin, and Y. T. Cheng, “Hybrid Biomimetic Directional Microphone for the Full Space Sound Source Localization,” Solid-State Sensors, Actuators, and Microsystems Workshop, Hilton Head Island, South Carolina, June 6-10, 2010, pp. 96-97. (Oral)
  23. C. C. Chen*, C. Singh, Y. C. Chen, Hsu-Liang Hsiao, Chia-Yu Lee, Mount-Learn Wu, and Y. T. Cheng, “Equivalent Electrothermal Circuit Model for Vertical-Cavity Surface-Emitting Lasers on Silicon Optical Bench,” 15th International Workshop on Thermal investigations of ICs and Systems (THERMINIC), Leuven, Belgium, 7-9 October, 2009, pp. 8-12. (Oral)
  24. C. C. Chen*, Lun-Hao Hsu, and Y. T. Cheng, “Formation, Rolling, and Agglomeration of a Co Seed Droplet in Patterned Inverted Silicon Nano-Pyramid,” IEEE 9th International Conference on Nanotechnology digest, Genoa, Italy, 26-30 July, 2009. (CPCI-S, Poster)
  25. C. C. Chen*, Y. C. Chen, Keng-Yu Lin, and Y. T. Cheng, “A Novel Design and Analytical Model for Biomimetic Microphone with Floating Center-Supported Gimbal Circular Diaphragm,” 13th NMC, Hsinchu, Taiwan, 9-10 July, 2009. (Oral)
  26. C. C. Chen*, Y. C. Chen, Hsu-Liang Hsiao, Chia-Yu Lee, Mount-Learn Wu, and Y. T. Cheng, “Equivalent Electrothermal Circuit Model and Thermal Analysis for Vertical-Cavity Surface-Emitting Lasers on Silicon Optical Bench,” 13th NMC, Taiwan, 9-10 July, 2009. (Oral)
  27. Y. C. Chen*, C. C. Chen, W. T. Tu, Y. T. Cheng, and F. G. Tseng, “The Investigation of the Proximate Effect of Time-Variant Magnetic Field on the Growth of In-Vitro Hela and PC-12 Cells Using On-Glass Spiral Inductor,” 5th International Conference on Microtechnology in Medicine and Biology, Canada, April 2009. (Poster)
  28. Y. C. Chen, C. C. Chen, Wen Hao Ching and Y. T. Cheng*, “Design and Fabrication of High Performance Biomimetic Microphone Using Oxalis-Like Sensing Diaphragm for Sound Localization”, APCOT, Taiwan, 2008. (Oral)
  29. X. Cheng, J. Chen, T. Zhang, C. C. Chen, Y. T. Cheng, and M. Wang, “An Implantable Ultrasonic Doppler Blood Flowmeter,” IEEE Ultrasonics Symposium, Oct. 2-6, 2006, pp.808-811. (CPCI-S)
  30. Jr-Wei Lin, C. C. Chen, J. K. Huang, and Y. T. Cheng*, “An Optimum Design of The Micromachined RF Inductor”, IEEE Radio Frequency Integrated Circuits (RFIC) Symposium, June 6-8, 2004, pp.639-642. (CPCI-S, Poster)
 

Patents:
  1. 陳健章、盧鴻興，"Method for Estimating Stress of Electronic Components", China CN106326616A
  2. 陳健章、盧鴻興，"Method for Estimating Stress of Electronic Components", Patent application in the Republic of China (Taiwan)
  3. Chien-Chang Chen and Henry Horng-Shing Lu, "METHOD FOR ESTIMATING STRESS OF ELECTRONIC COMPONENT," US20160379905 A1.
  4. 陳健章, 鄭裕庭, “Method and Non-transitory Computer Readable Medium for Thermal Analysis Modeling,”Taiwan, R.O.C.：I464603。
  5. Chien-Chang Chen and Yu-Ting Cheng, Method and non-transitory computer readable medium thereof for thermal analysis modeling, US 8,543,361 B2
  6. 陳健章、鄭裕庭、許倫豪、任楷，"Method for Controlling Catalytic Metal Grain Formation"，TW 201119935 A1。
  7. Chien-Chang Chen and Yu-Ting Cheng, Lun-Hao Hsu, and Kai Rern, “Catalytic Seeding Control Method,” US 2011/0136662 A1.
  8. Chien-Chang Chen and Yu-Ting Cheng, “Method for predicting inductance and self-resonant frequency of a spiral inductor,” U.S. 7,451,415 B2.
  9. 陳健章，鄭裕庭, “Method for Predicting Inductance and Self-Resonant Frequency of a Spiral Inductor on a Dual-port Chip,” Taiwan, R.O.C. TW095106923

 
Last Updated: 2024-03-30
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