Department of Computer Science and Information Engineering, China University of Technology, Taiwan

OBJECTIVES & GOALS

To expend student's specialized knowledge and humane equipment and emphasize democracy, law, morality and humanism.

To arouse student's potential and cultivate student’s ability of implementation, combining theory, practice and integration.

To analyze and design information systems to solve the questions in management and industry area.

Computer Science and Information Engineering
China University of Technology, Taiwan
























Course Planning

Apart from the common courses outlined by the Ministry of Education, our professional courses have been arranged into two major fields:

  • Cloud System Application.
  • Mobile Device Technology.
Computer Science and Information Engineering
China University of Technology, Taiwan
Source of photo credit: Dr. Tseng,Hsi-Chao
























Unique Features

Source of photo credit: Dr. Julia Kuo

The undergraduate program provides students with an understanding of the principles of computer science and information engineering as well as the skills needed to solve the complex technological problems of modern society. Through the collaborative research program, the department provides opportunities for faculty and students to deal with interdisciplinary applications in various academic areas. Students are equipped with capacity to work on advanced researches in government, industry or academia.

Computer Science and Information Engineering
China University of Technology, Taiwan
























Academics




























Dr. Chien, Han-Min

Associate Professor/Head of Department

+886-2-2931-3416 ext.2965

hmchien@cute.edu.tw



Research Expertise : Image Processing、Human–Computer Interaction、 Ergonomics、Telemedicine、Cyber Security & Laparoscopic Instrument Design.











































Dr. Yin, Peng-Yeng

Professor/Dean of College of Computer Science

+886-3-699-1111 ext.1350

pyyin@cute.edu.tw



Research Expertise : Machine Learning、Algorithm & Computational I ntelligence.



Editor of International Journals:



Book Editor:

Reviewer of International Journals:

    SCI & SSCI journals
  • IEEE Transaction on Pattern Analysis and Machine Intelligence
  • IEEE Transaction on Systems, Man and Cybernetics, - Part B: Cybernetics
  • IEEE Transaction on Systems, Man and Cybernetics, - Part C: Applications and Reviews
  • IEEE Transaction on Knowledge and Data Engineering
  • IEEE Transaction on Signal Processing
  • IEEE Signal Processing Letters
  • IEEE Transaction on Multimedia
  • IEEE Transaction on Cybernetics
  • IEEE Transactions on Services Computing
  • Decision Support Systems
  • Engineering Optimization
  • Networks
  • Computer Vision and Image Understanding
  • Bioinformatics
  • Pattern Recognition
  • Pattern Recognition Letters
  • Image and Vision Computing Journal
  • Journal of Visual Communication and Image Representation
  • Pattern Analysis and Application
  • Information Sciences: An International Journal
  • Journal of Systems and Software
  • Artificial Intelligence in Medicine
  • Applied Soft Computing
  • Informs Journal on Computing
  • European Journal of Operational Research
  • Computers & Operations Research
  • Computers & Industrial Engineering
  • International Journal of Production Research
  • Journal of the Operational Research Society
  • Journal of Scheduling
  • Neurocomputing
  • Journal of Computational and Applied Mathematics
  • Journal of Computer Assisted Learning
  • Journal of the International Measurement Confederation
  • Applied Mathematics and Computation
  • Applied Mathematical Modelling
  • Knowledge-Based Systems
  • Multimedia Tools and Applications
  • Journal of Electronic Commerce Research
  • International Journal of Thermal Sciences
  • Computer Communications
  • Meat Science
    SCIE journals
  • The Computer Journal
  • Entropy
  • Journal of Multiple-Valued Logic and Soft Computing
  • Optimization Methods and Software
  • International Journal of Advanced Robotic Systems
  • Journal of Information Science and Engineering
  • Journal of the Chinese Institute of Engineers
  • Journal of Zhejiang University-SCIENCE A
  • Journal of Computer Science and Technology
  • Asia-Pacific Journal of Operational Research
  • International Journal of Communication Systems (Wiley. IF=0.406)
  • International Journal on Artificial Intelligence Tools (World Scientific)
  • International Journal on Foundations of Computer Science (World Scientific)
  • International Journal of Information Technology & Decision Making (World Scientific)
  • Biomedical Engineering-Applications, Basis and Communications (World Scientific)
  • Journal of Intelligent Manufacturing (Springer)
  • Neural Computing and Applications (Springer, IF=0.699)
  • Optimization Letters (Springer, IF=0.952)
  • Soft Computing (Springer, IF=1.124)
  • Abstract and Applied Analysis
  • Mathematical Problems in Engineering
  • Journal of Marine Science and Technology

Journal papers:

  1. Peng-Yeng Yin, Chun-Ying Cheng, Hsin-Min Chen and Tsai-Hung Wu, “Risk-Aware Optimal Planning for a Hybrid Wind-Solar Farm,” to appear in Renewable Energy
  2. Peng-Yeng Yin, Chih-Chun Tsai, Rong-Fuh Day, Ching-Ying Tung, Bir Bhanu, “Ensemble learning of model hyperparameters and spatiotemporal data for calibration of low-cost PM2.5 sensors,” Mathematical Biosciences and Engineering, July 29, 2019, 16(6), 6858-6873. doi: 10.3934/mbe.2019343 (SCI, 2018 IF=1.313). (NSC 107-2410-H-260-015-MY3), Open access at https://www.aimspress.com/newsinfo/1144.html.
  3. Youcef Gheraibia,Peng-Yeng Yin, Yiannis Papadoupolos, Abdelouahab Moussaoui, “PeSOA: Penguins Search Optimisation Algorithm for Global Optimisation Problems”, International Arab Journal of Information Technology (IAJIT) Volume 16 Number 3, May 2019 (SCIE, 2017 IF = 0.466)
  4. Peng-Yeng Yin, and Ching-Hui Chao “Automatic Selection of Fittest Electricity Demand Predictors Based on Cyber Swarm Optimization and Reinforcement Learning,” Applied Soft Computing 71 , 2018, 152-164. (SCI, 2016 IF=3.541). (MOST 105-2410-H-260 -018 -MY2).
  5. Peng-Yeng Yin, Rong-Fuh Day and Yu-Chi Wang, “Tabu Search Based Classification for Eye-Movement Behavioral Decisions,” Neural Computing and Applications 29(5), 2018, 1433-1443. (SCI, 2015 IF=1.492). (NSC 98-2410-H-260-018-MY3).
  6. eng-Yeng Yin, Tsai-Hung Wu and Ping-Yi Hsu “Simulation Based Risk Management for Multi-Objective Optimal Wind Turbine Placement Using MOEA/D,” Energy 141, 2017, 579-597. (SCI, 2016 IF=4.520, #3/58). (MOST 105-2410-H-260 -018 -MY2).
  7. Peng-Yeng Yin, Tsai-Hung Wu and Ping-Yi Hsu “Risk Management of Wind Farm Micro-Siting Using an Enhanced Genetic Algorithm with Simulation Optimization,” Renewable Energy 107, 2017, 508-521. (SCI, 2015 IF=3.404). (MOST 105-2410-H-260 -018 -MY2).
  8. Peng-Yeng Yin, Tsai-Hung Wu, “Multi-Objective and Multi-Level Image Thresholding Based on Dominance and Diversity Criteria,” Applied Soft Computing 54, 2017, 62-73. (SCI, 2015 IF=1.492). (MOST 103-2410-H-260-021-MY2).
  9. Peng-Yeng Yin, Rong-Fuh Day and Yu-Chi Wang, “Tabu Search Based Classification for Eye-Movement Behavioral Decisions,” to appear in Neural Computing and Applications (SCI, 2015 IF=1.492). (NSC 98-2410-H-260-018-MY3).
  10. Rong-Fuh Day, Peng-Yeng Yin, Yu-Chi Wang, and Ching-Hui Chao, “Hybrid Multi-Start Tabu Search for Finding Hidden Decision Strategies Based on Eye-Movement Data Clustering,” Applied Soft Computing 48, 2016, 217-229. (SCI, 2015 IF=2.857). (NSC 98-2410-H-260-018-MY3).
  11. Peng-Yeng Yin and Ya-Lan Chuang “Adaptive Memory Artificial Bee Colony Algorithm for Green Vehicle Routing with Cross-Docking,” Applied Mathematical Modelling 40, 9302-9315, 2016 (SCI, 2015 IF=2.291). (MOST 103-2410-H-260 -021 -MY2).
  12. Youcef Gheraibia, Abdelouahab Moussaoui, Youcef Djenouri, Peng-Yeng Yin, and Smaine Mazouzi “Pe-ARM: Penguins Search Optimization For Association Rules Mining”, Journal of Computing and Information Technology (CIT) 24 (2), June, 2016, 55-69. (EI, Scopus, INSPEC).
  13. Youcef Gheraibia, Peng-Yeng Yin, Yiannis Papadoupolos, Abdelouahab Moussaoui, “PeSOA: Penguins Search Optimisation Algorithm for Global Optimisation Problems”, The International Arab Journal of Information Technology (IAJIT) Volume XXXXX Year XXXX (SCIE, 2015 IF = 0.519)
  14. Peng-Yeng Yin, Sin-Ru Lyu, and Ya-Lan Chuang “Cooperative Coevolutionary Approach for Integrated Vehicle Routing and Scheduling Using Cross-Dock Buffering,” Engineering Applications of Artificial Intelligence 52, 40-53, June 2016 (SCI, 2015 IF=2.368). (MOST 103-2410-H-260 -021 -MY2) doi:10.1016/j.engappai.2016.02.006
  15. Peng-Yeng Yin, Tsai-Hung Wu and Ping-Yi Hsu “A Power-Deficiency and Risk-Management Model for Wind Farm Micro-Siting Using Cyber Swarm Algorithm,” Applied Mathematical Modelling 40(3), 2177-2189, February 2016 (SCI). (NSC 101-2410-H-260-004-MY2)
  16. Y. Gheraibia, A. Moussaoui, Y. Djenouri, S. Kabir, Peng-Yeng Yin, and S. Mazouzi “Penguin Search Algorithm for Finding Optimal Spaced Seeds”, International Journal of Software Science and Computational Intelligence 7(2), 85-99, 2015.
  17. Peng-Yeng Yin, Kuo-Hsien Chuang, and Gwo-Jen Hwang*, “Developing a Context-Aware Ubiquitous Learning System based on a Hyper-Heuristic Approach by Taking Real-World Constraints into Account, ” to appear in Universal Access in the Information Society, (SSCI).
  18. Benjamin Shao, Peng-Yeng Yin and Andrew Chen, “Organizing Knowledge Workforce for Specified Iterative Software Development Tasks,” Decision Support Systems 59, March 2014, 15-27 (SSCI).
  19. Peng-Yeng Yin and Hsi-Li Wu “Cyber-EDA: Estimation of Distribution Algorithms with Adaptive Memory Programming,” Mathematical Problems in Engineering, Volume 2013, Article ID 132697, 11 pages, 2013. doi:10.1155/2013/132697 (SCIE).
  20. Peng-Yeng Yin, Ray-I Chang, Chih-Chiang Chao and Yen-Ting Chu “Niched Ant Colony Optimization with Colony Guides for QoS Multicast Routing,” Journal of Network and Computer Applications 40, April 2014, 61-72 (SCI).
  21. B.M.T. Lin, Peng-Yeng Yin and Y.S. Liu “Sequence-Dependent Scheduling with Order Delivery,” Applied Mathematics and Computation 222(24), 1 October 2013, 58-71 (SCI).
  22. Peng-Yeng Yin and Yi-Ming Guo “Optimization of Multi-Criteria Website Structure based on Enhanced Tabu Search and Web Usage Mining,” Applied Mathematics and Computation 219(24), 15 August 2013, 11082-11095 (SCI).
  23. Peng-Yeng Yin and Ya-Tzu Chiang “Cyber Swarm Algorithms for Multi-Objective Nurse Rostering Problem,” International Journal of Innovative Computing, Information and Control 9(5), May 2013, 2043-2063(SCI)
  24. Peng-Yeng Yin and Tai-Yuan Wang “A GRASP-VNS Algorithm for Optimal Wind Turbine Placement in Wind Farms,” Renewable Energy 48, December 2012, 489-498 (SCI).
  25. Peng-Yeng Yin, Shyong-Jian Shyu, Shih-Ren Yang, and Yu-Chung Chang, “Reinforcement Learning for Improving Gene Identification Accuracy by Combination of Gene-Finding Programs”, International Journal of Applied Metaheuristic Computing 3(1), 2012, 34-47.
  26. Peng-Yeng Yin, Fred Glover, Manuel Laguna and Jia-Xian Zhu, “A complementary cyber swarm algorithm”, International Journal of Swarm Intelligence Research 2(2), 2011, 22-41 (NSC 98-2410-H-260-018-MY3).
  27. Peng-Yeng Yin and En-Ping Su, “Cyber Swarm Optimization for General Keyboard Arrangement Problem”, International Journal of Industrial Ergonomics 41(1), 2011, 43-52 (NSC 98-2410-H-260-018-MY3) (SCI).
  28. 趙志強,尹邦嚴,蔣雅慈,”以擴散式粒子群最佳化為基礎之智慧型多目標護士排程系統”, 醫療資訊雜誌, 第十九卷第一期, 2010, 1-16頁.
  29. Gwo-Jen Hwang, Fan-Ray Kuo,Peng-Yeng Yin, and Kuo-Hsien Chuang, “A Heuristic Algorithm for Planning Personalized Learning Paths for Context-Aware Ubiquitous Learning,” Computers & Education 54, 2010, 404-415 (SSCI)
  30. Peng-Yeng Yin and Yi-Min Liu, “Adaptive relevance feedback model selection for content-based image retrieval”, The Imaging Science Journal 58(1), February 2010, 37-48 (NSC 96-2221-E-260-015-MY2) (SCI).
  31. Peng-Yeng Yin, Fred Glover, Manuel Laguna and Jia-Xian Zhu, “Cyber swarm algorithms – improving particle swarm optimization using adaptive memory strategies,” European Journal of Operational Research 201(2), 1 March, 2010, 377-389 (NSC 98-2410-H-260-018-MY3) (SCI).
  32. Tsu-Feng Ho, Peng-Yeng Yin, Gwo-Jen Hwang, Shyong Jian Shyu and Ya-Nan Yean, “Multi-objective parallel test-sheet composition using enhanced particle swarm optimization,” Educational Technology and Society 12(4), 2009, 193-206 (SSCI).
  33. Peng-Yeng Yin, Benjamin B. M. Shao, Yung-Pin Cheng, and Chung-Chao Yeh, “Metaheuristic algorithms for task assignment in distributed computing systems: a comparative and integrative approach,” The Open Artificial Intelligence Journal 3, 2009, 16-26 (NSC 96-2221-E-260-015-MY2).
  34. Chin-Sheng Chen, Chun-Wei Yeh and Peng-Yeng Yin, “A novel fourier descriptor based image alignment algorithm for automatic optical inspection,” Journal of Visual Communication and Image Representation 20(3), 2009, 178-189 (SCI).
  35. Peng-Yeng Yin and Chin-Wen Liu, “A new relevance feedback technique for iconic image retrieval based on spatial relationships,” Journal of Systems and Software 82(4), April 2009, 685-696 (NSC 95-2221-E-260-026) (SCI).
  36. Gwo-Jen Hwang, Hui-Chun Chu, Peng-Yeng Yin, and Ji-Yu Lin, “An innovative parallel test-sheet composition approach to meet multiple assessment criteria for national tests,” Computers & Education 51 (3), November, 2008, 1058-1072 (SSCI).
  37. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang and Anlei Dong, “Long term cross-session relevance feedback using virtual features,” IEEE Trans. on Knowledge and Data Engineering 20 (3), March 2008, 300-320 (NSC 92-2213-E-260-021) (SCI, EI).
  38. Gwo-Jen Hwang, Peng-Yeng Yin, Chi-Wei Hwang and Chin-Chung Tsai, “An enhanced genetic approach to composing cooperative learning groups for multiple grouping criteria,” Educational Technology and Society 11 (1), 2008, 148-167 (SSCI).
  39. Gwo-Jen Hwang, Peng-Yeng Yin, Judy C.R. Tseng and Gwo-Haur Hwang, “An enhanced genetic approach to optimizing auto-reply accuracy of an e-learning system,” Computers & Education 51 (1), August, 2008, 337-353 (SSCI).
  40. Peng-Yeng Yin and Jing-Yu Wang, “Optimal multiple-objective resource allocation using hybrid particle swarm optimization and adaptive resource bounds technique,” Journal of Computational and Applied Mathematics 216 (1), June 2008, 73-86 (NSC 96-2221-E-260-015-MY2) (SCI).
  41. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “Task allocation for maximizing reliability of a distributed system using hybrid particle swarm optimization,” Journal of Systems and Software 80 (5), May 2007, 724-735 (NSC 96-2221-E-260-015-MY2) (SCI).
  42. Peng-Yeng Yin, “Multilevel minimum cross entropy threshold selection based on particle swarm optimization,” Applied Mathematics and Computation 184 (2), 2007, 503-513 (NSC 96-2221-E-260-015-MY2) (SCI).
  43. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “Multi-Objective Task Allocation in Distributed Computing Systems by Hybrid Particle Swarm Optimization,” Applied Mathematics and Computation 184 (2), 2007, 407-420 (NSC 96-2221-E-260-015-MY2) (SCI).
  44. Peng-Yeng Yin and Shin-Hwei Li, “Content-based image retrieval using association rule mining with soft relevance feedback,” Journal of Visual Communication and Image Representation 17 (5), 2006, 1108-1125 (NSC 94-2213-E-260-020) (SCI).
  45. Peng-Yeng Yin, Gwo-Jen Hwang, Kuang-Cheng Chang, Gwo-Haur Hwang, and Ying Chan, “A particle swarm optimization approach to composing serial test sheets for multiple assessment criteria,” Educational Technology and Society 9 (3), 2006, 3-15 (SSCI).
  46. Gwo-Jen Hwang, Peng-Yeng Yin, and Shu-Heng Yeh, “A tabu search approach to generating test sheets for multiple assessment criteria,” IEEE Trans. on Education 49 (1), 2006, 88-97 (SCI).
  47. Peng-Yeng Yin and Jing-Yu Wang, “A particle swarm optimization approach to the nonlinear resource allocation problem,” Applied Mathematics and Computation 183, 2006, 232-242. (NSC 90-2213-E-130-006) (SCI).
  48. Peng-Yeng Yin, “Genetic particle swarm optimization for polygonal approximation of digital curves,” Pattern Recognition and Image Analysis 16 (2), 2006, 223-233 (NSC 90-2213-E-130-006).
  49. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems,” Computer, Standard and Interfaces 28, 2006, 441-450 (NSC 90-2213-E-130-006) (SCI, EI).
  50. Peng-Yeng Yin and Jing-Yu Wang, “Ant colony optimization for the nonlinear resource allocation problem,” Applied Mathematics and Computation 174, 2006, 1438-1453 (NSC 90-2213-E-130-006) (SCI).
  51. Peng-Yeng Yin, “Particle swarm optimization for point pattern matching,” Journal of Visual Communication and Image Representation 17 (1), 2006, 143-162 (NSC 90-2213-E-130-006) (SCI, EI).
  52. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang and Anlei Dong, “Integrating relevance feedback techniques for image retrieval using reinforcement learning,” IEEE Trans. on Pattern Analysis and Machine Intelligence 27 (10), 2005, 1536-1551 (NSC 93-2213-E-260-016) (SCI, EI).
  53. S. J. Shyu, B. M. T. Lin and Peng-Yeng Yin, “Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time,” Computer and Industrial Engineering 47, 2004, 181-193 (NSC 90-2213-E-130-006) (SCI)
  54. Peng-Yeng Yin, “A discrete particle swarm algorithm for optimal polygonal approximation of digital curves,” Journal of Visual Communication and Image Representation 15, 2004, 241-260 (NSC 90-2213-E-130-006) (SCI, EI)
  55. S. J. Shyu, Peng-Yeng Yin, B. M. T. Lin and T. S. Hsiao, “An ant colony optimization algorithm for the minimum weight vertex cover problem,” Annals of Operations Research 131, 2004, 283-304 (NSC 90-2213-E-130-006) (SCI)
  56. Peng-Yeng Yin, “Ant colony search algorithm for optimal polygonal approximation of plane curves,” Pattern Recognition 36, 2003, 1783-1797. (NSC 90-2213-E-130-006) (SCI, EI)
  57. S. J. Shyu, Peng-Yeng Yin, B. M. T. Lin and M. Haouari, “Ant-Tree: An ant colony optimization approach to the generalized minimum spanning tree problem” Journal of Experimental and Theoretical Artificial Intelligence 15, 2003, 103-112. (NSC 90-2213-E-130-006) (SCI)
  58. Peng-Yeng Yin, “Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization,” Signal Processing 82, 2002, 993-1006. (NSC 91-2213-E-260-027) (SCI, EI)
  59. Peng-Yeng Yin and Cheng-Chung Yeh, “Content-based retrieval from trademark databases,” Pattern Recognition Letters 23, 2002, 113-126. (NSC 87-2213-E-130-001) (SCI, EI)
  60. Peng-Yeng Yin, “Skew detection and block classification of printed documents,” Image and Vision Computing 19, 2001, 567-579. (NSC 89-2218-E-130-006) (SCI, EI)
  61. Peng-Yeng Yin and Yen-Bo Huang, “Automating data extraction and identification of Chinese road maps,” Optical Engineering 40, 2001, 663-673. (NSC 89-2218-E-130-006) (SCI, EI)
  62. Peng-Yeng Yin, “A tabu search approach to the polygonal approximation of digital curves,” International Journal of Pattern Recognition and Artificial Intelligence 14 , Jan 2000 , 243-255. (NSC 88-2213-E-130-002) (SCI, EI)
  63. Peng-Yeng Yin, “Genetic algorithms for polygonal approximation of digital curves,” International Journal of Pattern Recognition and Artificial Intelligence 13 , Dec 1999 , 1-22. (NSC 88-2213-E-130-002) (SCI, EI)
  64. Peng-Yeng Yin, “A new circle/ellipse detector using genetic algorithms,” Pattern Recognition Letters 20, 1999, 731-740. (NSC 89-2213-E-130-002) (SCI, EI)
  65. Peng-Yeng Yin, Polygonal approximation using genetic algorithms, Lecture Notes in Computer Science 1689, 1999, pp. 175-182. (NSC 88-2213-E-130-002) (SCI)
  66. Peng-Yeng Yin, “A fast scheme for optimal thresholding using genetic algorithms, “ Signal Processing 72, 1999, 85-95. (NSC 88-2213-E-130-002) (SCI, EI)
  67. Peng-Yeng Yin, “A new method for polygonal approximation using genetic algorithms,“ Pattern Recognition Letters 19, 1998, 1017-1026. (NSC 88-2213-E-130-002) (SCI, EI)
  68. Peng-Yeng Yin, “Algorithms for Straight Line Fitting Using K-Means,” Pattern Recognition Letters 19, 1998, 31-41. (NSC 86-2621-E-130-002-T) (SCI, EI)
  69. Peng-Yeng Yin and Ling-Hwei Chen, “A New Itrerative Scheme for Multilevel Thresholding,” Signal Processing 6, 1997, 305-311. (NSC 88-2213-E-130-002) (SCI, EI)
  70. Peng-Yeng Yin and Ling-Hwei Chen, “A New Non-Iterative Clustering Approach,” Pattern Recognition Letters 15, 1994, 125-133. (SCI, EI)
  71. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Ellipse Detection by Means of Symmetry,” Journal of Electronic Imaging 3, 1994, 20-29. (SCI)
  72. Peng-Yeng Yin, Ling-Hwei Chen, “Random-Sampling Thresholding: A New Approach to Multilevel Thresholding,” Signal Processing 34, 1993, 311-322. (SCI)
  73. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Multilevel Thresholding Using the Symmetry And the Duality of the Histogram,” Journal of Electronic Imaging 2,1993, 337-344. (SCI)
  74. Ling-Hwei Chen, Peng-Yeng Yin, “A System for On-Line Recognition of Handwritten Mathematical Expressions,” Computer Processing of Chinese and Oriental Languages 6, 1992, 19-39.











































Dr. Chang, Chien-Ping

Jointly Professor/Dean of College of Planning and Design

+886-2-2931-3416 ext.1400

cpchang@cute.edu.tw



Research Expertise : Algorithm、Information Security、Information Hiding & Biometric.











































Dr. Chang, Yu-Liang

Associate

+886-3-699-1111 ext.1475

leonchang@cute.edu.tw



Research Expertise : Network Communications & Artificial Intelligence.











































Dr. Liu,Hui-Yuan

Associate Professor

+886-3-699-1111 ext.1472

lindaliu@cute.edu.tw



Research Expertise : Physics、 Electronic Circuits、 Digital Logic、 Principles and Applications of RFID 、General Knowledge of Nature、 Photovoltaics、 Laser Production and Applications、 Electronics, Motors、Digital Living、 Leisure Art Living & Health Care Management.











































Dr. Chen, Pe-Te


+886-3-699-1111 ext.1471

petechen@cute.edu.tw



Research Expertise : Software Engineering & Database System Design.











































Dr. Tsai, Hei-Jung

Assistant Professor

+886-3-699-1111 ext.1550

hltsai@cute.edu.tw



Research Expertise : Algorithms、 Probability Statistics、 Queuing Theory、 Stochastic Processes、 Systems Simulation、 Information Security、 Numerical Methods & Cryptography.











































Dr. Hsu, Feng-Luan

Associate Professor

+886-3-699-1111 ext.1472

cindyhsu@cute.edu.tw



Research Expertise : Algebra、Numerical Analysis & Cryptography.











































Dr. Su, Jui-Lung

Assistant Professor

+886-3-699-1111 ext.1545

rlsu@cute.edu.tw



Research Expertise : System Simulation、Geographic Information System、 Image Processing, Remote Sensing Exploration & Genetic Algorithm Application.











































Dr. Lai Rui-Gang

Assistant Professor

+886-3-699-1111 Ext.1474

larrylai@cute.edu.tw


Research Expertise : Mathematical Algorithm and Construction of Intelligent Information System.











































Dr. Yin, Te-Lung

Assistant Professor

+886-3-699-1111 Ext.1353

yintl@cute.edu.tw



Research Expertise : Information Security、 Image Processing、 Information Theory、 Digital Circuits and Programming.











































Dr. Chuang Ming Chin

Assistant Professor

+886-3-699-1111 Ext.1473

speedboy@gmail.com



Research Expertise : Wireless Internet、 Internet of Thing、 Internet Security & Cloud Computing.











































Mr. Liao,Kuang-Jen

Lecture

+886-3-699-1111 Ext.1474

lkj01@cute.edu.tw



Research Expertise : Information System Develop、 Parallel Computing、 DB System Management.








































Staffs

Name Tel Email
Hsinchu Campus : Ms. Huang, Yu-Yun +886-3-699-1111#1371 dcsie@cute.edu.tw
Taipei Campus : Ms.Hsu, Yi-Ting +886-2-2931-3416#2964 dcsie@cute.edu.tw






































Location

Taipei Campus
Hsinchu Campus




































Carees & Placements

Regarding academic & industry cooperation, the Department emphasizes integration of theory and practice. We lay emphasis on the faculty's background and experience, actively interacting with “Cloud System application” and “Mobile Device Technology” and on the faculty's capabilities in practice. Whether in the sphere of curriculum, teaching, research or international cooperation, the Department always values the cooperation, assistance and support of the private sector.

Computer Science and Information Engineering
China University of Technology, Taiwan
Source of photo credit: Dr. Julia Kuo
























Industry-Academy

egarding academic & industry cooperation, the Department emphasizes integration of theory and practice. We lay emphasis on the faculty's background and experience, actively interacting with “Cloud System application” and “Mobile Device Technology” and on the faculty's capabilities in practice. Whether in the sphere of curriculum, teaching, research or international cooperation, the Department always values the cooperation, assistance and support of the private sector.

Computer Science and Information Engineering
China University of Technology, Taiwan


































Future Development

Students graduate from this department can pursue further education in related fields of computer science, information science or computer communication. They also can work as public employees through national exams or can also devote themselves to the development of computer application, software system in Science Park, Industrial Park or Software Development Park.

Computer Science and Information Engineering
China University of Technology, Taiwan