faculty

專任教師

Kang, Jia-Lin

康嘉麟 副教授

  • 職稱副教授
  • 學歷國立清華大學化工博士
    東海大學化學與材料工程碩士
    東海大學化學工程學士
  • E-mailjlkang@yuntech.edu.tw
  • 專長領域人工智慧化工應用、程序設計、製程強化、單元操作設備建模、流體力學模擬
  • 研究室EC309
  • 校內分機4618
  • 實驗室名稱程序資訊實驗室
  • 實驗室EC211A
  • 分機4686
  • 教授課程計算機概論、程序設計

主要研究領域:

  • CFD填充床模擬與反應器模擬
  • 人工智慧開發應用
  • CO2捕獲製程強化技術開發

 

參與的計畫:

  • 前瞻技術聯盟合作計畫 - 促進循環經濟之新世代綠色化工材料及智慧製程技術(2/3)(NSTC 111-2622-8-007 -011)
  • 虛實整合製造系統之設備與控制系統預警與診斷技術(1/3)(NSTC 110-2221-E-007 -014)
  • 利用深度學習技術開發工廠故障診斷之數據增強技術(3/3)(MOST 110-2636-E-224 -001)
  • 利用深度學習技術開發工廠故障診斷之數據增強技術(2/3)(MOST 109-2636-E-224 -001)
  • 利用深度學習技術開發工廠故障診斷之數據增強技術(1/3)(MOST 108-2636-E-224 -001)
  • 自我學習之深度學習技術開發應用於工廠診斷分析(MOST 107-2221-E-224 -063 -MY2)
  • 燃燒後二氧化碳捕獲及再利用技術之開發及應用(1/2)(106-3113-E-007-002-)
  • 超重力旋轉床之脫附塔建模在單乙醇胺/二氧化碳捕獲之應用(106-2218-E-032-002-)
  • 燃燒後二氧化碳捕獲及再利用技術之開發及應用(2/2)(107-3113-E-007-002-)
  • 自我學習之深度學習技術開發應用於工廠診斷分析(1/2)(107-2221-E-032-025-MY2)
  • 前瞻技術產學合作計畫-開發符合永續經營及循環經濟的綠色化工技術(2/3)(107-2622-8-007-015-)
  • 自我學習之深度學習技術開發應用於工廠診斷分析(2/2)(107-2221-E-032-025-MY2)

 

期刊論文:

  • Shih-Chieh Hsu, Kuan-Syun Wang, Yan-Ting Lin, Jen-Hsien Huang, Nian-Jheng Wu, Jia-Lin Kang*, Huei-Chu Weng*, and Ting-Yu Liu*. "Surface Modification of Li3VO4 with PEDOT: PSS Conductive Polymer as an Anode Material for Li-Ion Capacitors." Polymers 15.11 (2023): 2502.
  • Jie-Ying Su, Jia-Lin Kang*, and Shi-Shang Jang*. "An Actor-Critic Algorithm for the Stochastic Cutting Stock Problem." Processes 11.4 (2023): 1203.
  • Shih-Chieh Hsu, Szu-Han Chao, Nian-Jheng Wu, Jen-Hsien Huang, Jia-Lin Kang*, Huei Chu Weng*, Ting-Yu Liu*. "Facile synthesis of hybrid WO3/MoOx electrochromic films for application in complementary electrochromic devices." Journal of Alloys and Compounds 945 (2023): 169256.
  • Somayeh Mirzaei, Kuo-Yao Chiu, and Jia-Lin Kang* " Identification of Unknown Faults in Chemical Processes Using Few-Shot Learning" Measurement (2022):112393.
  • Shih-Chieh Hsu, Cai-Wan Chang-Jian, Tzu-yen Huang, Chih-Wei Hu, Lo-Yueh Chang, Han-Hsin Chiang, Nian-Jheng Wu, Shih-An Liu, Jen-Hsien Huang, Jia-Lin Kang*, Huei Chu Weng*, Ting-Yu Liu*. "Synergistic effect of doping and surface engineering on LiNi0. 5Mn1. 5O4 and its application as a high-performance cathode material for Li-ion batteries." Ceramics International 48 (2022): 27859 .
  • Jia-Lin Kang*, Siao-Han Huang, Shi-Shang Jang*. Evaluation of Hydrodynamic Performance of New Random Packing Structure Using CFD." Processes 10.7 (2022): 1276 .
  • Jia-Lin Kang*, Chen-Tse Chiu, Jau Shiue Huang, David Shan-Hill Wong* "A surrogate model of sigma profile and COSMOSAC activity coefficient predictions of using transformer with SMILES input." Digital Chemical Engineering 2 (2022): 100016.
  • Jia-Lin Kang*, Ching-Jung Chen, Chien-Hao Wu, David Shan-Hill Wong*, Shi-Shang Jang*, Chung-Sung Tan "Dynamic modeling of the absorption of acetic acid in rotating packed bed." Journal of the Taiwan Institute of Chemical Engineers 132 (2022): 104130.
  • Somayeh Mirzaei, Jia-Lin Kang*. ”The revelation of the difference between LSTM and GRU neural networks in fault diagnosis for chemical processes using visualization” Journal of the Taiwan Institute of Chemical Engineers 130 (2022): 104028.
  • Jia-Lin Kang*, Somayeh Mirzaei, Jia-An Zhou. ”Robust control and training risk reduction for boiler level control using two-stage training deep deterministic policy gradient.” Journal of the Taiwan Institute of Chemical Engineers 130 (2022): 103956.
  • Jia-Lin Kang*, Chien-Cheng Wang, David Shan-Hill Wong, Shi-Shang Jang, Chun-Hsiu Wang. “Digital twin model and dynamic operation for a plant-scale solid oxide fuel cell system.” Journal of the Taiwan Institute of Chemical Engineers 118 (2021): 60-67.
  • Yu-Da Hsiao, Jia-Lin Kang*, David Shan-Hill Wong. ” Development of Robust and Physically Interpretable Soft sensor for industrial distillation column using transfer learning with small datasets ” Processes 2021, 9, 667. https://doi.org/10.3390/pr9040667
  • Xiaoyu Yang, David Shan-Hill Wong, Ying Zheng, Yong Zhang, Wei dong Yang, Jia-Lin Kang*. “A universal LPC health monitoring method for rolling element bearings with ADSCI feature.” Measurement 176 (2021): 108969.
  • Jie-Jiun Chang, David Shan-Hill Wong, Chen-Hsuan Huang, Jia-Lin Kang*, Hsuan-Hao Hsu, and Shang-Tai Lin.”Towards a universal digital chemical space for pure component properties prediction.” Fluid Phase Equilibria 527: 112829.
  • Jia-Lin Kang*, Kuan-Ting Liu,David Shan-Hill Wong,Shi-Shang Jang, and De-Hao Tsai.”Multi-Scale Modeling and Study of Aerosol Growth in an Amine-based CO2 Capture Absorber.” Environments 7.8 (2020): 58.
  • Siao-Han Huang, Jia-Lin Kang*, David Shan-Hill Wong, Shi-Shang Jang, and Chao-An Lin. “Particle-Scavenging prediction in sieve plate scrubber via dimension reduction in computational fluid dynamics.” Chemical Engineering Research and Design 160 (2020): 540-550.
  • Jia-Lin Kang*. “Visualization analysis for fault diagnosis in chemical processes using recurrent neural networks.” Journal of the Taiwan Institute of Chemical Engineers 112 (2020): 137-151.
  • Chou, Cheng-Hung, Hai-Bin Wu, Jia-Lin Kang*, David Shan Hill Wong, Yuan Yao, Shi-Shang Jang, Yao-Chen Chuang, and John Di-Yi Ou. “Physically Consistent Soft-sensor Development Using Sequence-to-Sequence Neural Networks.” IEEE Transactions on Industrial Informatics (2019) : 2829-2838.
  • Jia-Lin Kang, Hsu-Hung Chang, Shyan-Shu Shieh, Shi-Shang Jang, Jing-wei Ko, and Hsiang-Yao Sun. “Development of guidelines for optimal operation of a cogeneration system.” Journal of the Taiwan Institute of Chemical Engineers 101 (2019): 127-138.
  • Jia-Lin Kang, Ya-Cih Ciou, Dong-Yang Lin, David Shan-Hill Wong, Shi-Shang Jang. “Investigation of hydrodynamic behavior in random packing using CFD simulation.” Chemical Engineering Research and Design 147 (2019): 43-54.
  • Yue Zhang, Jia-Lin Kang, Steven Fulk, Gary Rochelle. “Modeling amine aerosol growth at realistic pilot plant conditions.” Energy Procedia 114 (2017): 1045-1060.
  • Jia-Lin Kang, Yue Zhang, Steven Fulk, and Gary T. Rochelle. “Modeling Amine Aerosol Growth in the Absorber and Water Wash.” Energy Procedia 114 (2017): 959-976.
  • Chamchan, Nipon, Jia-Yu Chang, Hsiao-Ching Hsu, Jia-Lin Kang, David Shan Hill Wong, Shi-Shang Jang, and Jui-Fu Shen. “Comparison of rotating packed bed and packed bed absorber in pilot plant and model simulation for CO 2 capture.” Journal of the Taiwan Institute of Chemical Engineers 73 (2017): 20-26.
  • Thiels, Matt, David SH Wong, Cheng-Hsiu Yu, Jia-Lin Kang, Shi Shang Jang, and Chung-San Tan. “Modelling and design of carbon dioxide absorption in rotating packed bed and packed column.” IFAC-PapersOnLine 49.7 (2016): 895-900.
  • Jia-Lin Kang, David Shan-Hill Wong, Shi-Shang Jang. “A Comparison between Packed Beds and Rotating Packed Beds for CO2 Capture Using Monoethanolamine and Dilute Aqueous Ammonia Solutions.” International Journal of Greenhouse Gas Control 46 (2016): 228-239.
  • Jia-Lin Kang, Hamza Albazzaz, Dduha Chehadeh, Dawood Bahzad, David Shan Hill Wong, and Shi-Shang Jang. “Robust Predictions of Catalyst Deactivation of Atmospheric Residual Desulfurization.” Energy & Fuels 29.11 (2015): 7089-7100.
  • Kai Sun, Chen-Ting Tseng, David Shan-Hill Wong, Shyan-Shu Shieh, Shi-Shang Jang, Jia-Lin Kang, Wei-Dong Hsieh. “Model predictive control for improving waste heat recovery in coke dry quenching processes.” Energy,80 (2015):275-283
  • Jia-Lin Kang, Zhen-Jie Luo, Jia-Lin Liu, Kai Sun, David Shan-Hill Wong, Shi-Shang Jang, Chung-Sung Tan, Jui-Fu Shen. Experiment and Modeling Studies on Absorption of CO2 by Dilute Ammonia in Rotating Packed Bed. Energy Procedia 63 (2014): 1308-1313.
  • Jia-Lin Kang, Kai Sun, David Shan-Hill Wong, Shi-Shang Jang, Chung-Sung Tan “Modeling studies on absorption of CO 2 by monoethanolamine in rotating packed bed.” International Journal of Greenhouse Gas Control 25 (2014): 141-150.
  • Kai Sun, Jialin Liu, Jia-Lin Kang, Shi-Shang Jang, David Shan-Hill Wong, Ding-Sou Chen. “Development of a variable selection method for soft sensor using artificial neural network and nonnegative garrote.” Journal of Process Control 24.7(2014):1068-1075
  • Hong-Wei Yen and Jia-Lin Kang. “Lactic acid production directly from starch in a starch-controlled fed-batch operation using Lactobacillus amylophilus.”Bioprocess and biosystems engineering 33.9 (2010): 1017-1023.
  • Hong-Wei Yen, Chang-Yu Feng, and Jia-Lin Kang. “Cultivation of Rhodobacter sphaeroides in the stirred bioreactor with different feeding strategies for CoQ10 production.” Applied biochemistry and biotechnology 160.5 (2010): 1441-1449.
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研討會發表:

  • Jia-Lin Kang, Shi-Shang Jang, Fan-Kai Sun, and Po-Hsun Chang.”Physically Consistent Machine Learning Models Using Artificial Data for MISO Systems and Model Predictive Control.” Computer Aided Chemical Engineering. Vol. 48. Elsevier, 2020. 1273-1278.
  • Jia-Lin Kang, Chien-Chien Wang, Po-Hsun Chang, David Shan-Hill Wong, Shi-Shang Jang, and Chun-HsiuWang. “Modeling of The Solid Oxide Fuel Cell Considering H2 and CO Electrochemical Reactions.” Computer Aided Chemical Engineering. Vol. 48. Elsevier, 2020. 511-516.
  • Jie-Jiun Chang, Jia-Lin Kang, David Shan-Hill Wong, Cheng-Hung Chou, Hsuan-Hao Hsu, Chen-Hsuan Huang, and Shang-Tai Lin “Machine Learning of Molecular Classification and Quantum Mechanical Calculations.” Computer Aided Chemical Engineering. Vol. 46. Elsevier, 2019. 787-792.
  • Jia-Lin Kang, Kuang-Yi Chu (2019, Jan.) The Neural Network of Speech Recognition Applied to Fault Diagnosis in Chemical Processes. The 8th International Symposium on Design, Operation, and Control of Chemical Processes (PSE ASIA 2019)
  • Jie-Jiuan Chang, Cheng-Hung Chou, Jia-Lin Kang, David Shan-Hill Wong, Shang-Tai Lin, Hsuan-Hao Hsu, Chen-Hsuan Huang (2019, Jan.) Machine Learning of Molecular Classification and Quantum Mechanical Calculations. The 8th International Symposium on Design, Operation, and Control of Chemical Processes (PSE ASIA 2019)
  • Cheng-Hung Chou, Jia-Lin Kang, Abhinandan Nabera, David Shan Hill Wong, Shi-Shang Jang (2019, Jan.) Development of Nonparametric Dynamic Model with Generalization Capability Using Deep Learning. The 8th International Symposium on Design, Operation, and Control of Chemical Processes (PSE ASIA 2019)
  • Jia-Lin Kang, Yi-Sin Chiang (2018, Oct.) Modeling Rotating Packed Bed for Desorption of CO2 Using Monoethanolamine. 13th Conference on Greenhouse Gas Control Technologies (GHGT-14)
  • Jia-Lin Kang, Ya-Cih Ciou, Dong-Yang Lin, Ching-Hung Cheng, David Shan-Hill Wong, Shi-Shang Jang(2018, July) Hydrodynamic Behaviour of Helical Rings Random Packing Using CFD Simulation. Process Systems Engineering (PSE 2018)
  • Jia-Lin Kang, Wei-Fu Chen, Ya-Cih Ciou, David Shan-Hill Wong, Shi-Shang Jang (2017, Oct.). Investigation of Hydrodynamic Behaviour in random packing using CFD simulation. European Symposium on Computer Aided Process Engineering 27 (Escape 27)
  • Jia-Lin Kang, Wei-Fu Chen, David Shan-Hill Wong, Shi-Shang Jang( 2017, May) Evaluation of gas-liquid contact area and liquid holdup of random packing using CFD simulation. The International Symposium on Advanced Control of Industrial Processes (6th AdCONIP)
  • Jia-Lin Kang, Yue Zhang, Steven Fulk, Gary T. Rochelle (2016, Nov.). Modeling Amine Aerosol Growth in the Absorber and Water Wash. 13th Conference on Greenhouse Gas Control Technologies (GHGT-13)
  • Matt Thiels, David S.H. Wong, Cheng-Hsiu Yu, Jia-Lin Kang, Shi Shang Jang, Chung-San Tan. ” Modelling and Design of Carbon Dioxide Absorption in Rotating Packed Bed and Packed Column.” (IFAC-PapersOnLine) 49.7 (2016): 895-900.

 

專利:

  • Yu-Chieh Lee, Cheng-Hsiu Yu, Jia-Lin Kang, Hisn-Wei Lin and Tsai-Wei Wu, A wastes treatment system, R.O.C Patent Application M494656
  • David S. H. Wong, Matthias Thiel, Cheng-Hsiu Yu, Jia-Lin Kang, Shi-Shang Jang. Apparatus and method for capturing target component form gas, U.S.A Patent US20170173517A1
  • David S. H. Wong, Matthias Thiel, Cheng-Hsiu Yu, Jia-Lin Kang, Shi-Shang Jang. Capture device and capture method for target component in gas, P.R.C Patent CN106890540A