黃科瑋 教授

國立成功大學電機博士 (2015)
國立高雄大學電機碩士 
義守大學資訊工程學士 

國立高雄科技大學 電機工程系 教授 (2024/2~)
國立高雄科技大學 電機工程系 副教授
國立高雄科技大學 電機工程系 助理教授
國立高雄應用科技大學 電機工程系 助理教授
靜宜大學資訊傳播與工程學系助理教授      
國立高雄大學電機工程學系兼任助理教授   
國立成功大學心理系博士後研究員               
五洲國際專利商標事務所專利工程師           
高雄榮民總醫院資訊室副工程師                   
國立成功大學醫學院附設醫院家醫科網管   
 

1. 混合粒子群與引力搜尋演算法於最佳化問題與實務應用之研究 106-2218-E-992 -303 -, 科技部計畫, 主持人
2. 智慧醫療：智慧型醫療診斷輔助系統之設計與評估 107-2218-E-992 -303 -, 科技部計畫, 主持人
3. 設計與實現一個演化式深度學習之醫學影像辨識系統(110-2222-E-992-006-), 科技部計畫, 主持人
4. 影像辨識軟體大數據資料庫建置與測試第1-8期計畫(2010年起), 產學合作計畫, 主持人

＜期刊發表＞

1.   Hsieh-Chih Hsu, Ko-Wei Huang, Chen-Yu Pan and Tsz-Kin Lau “Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency,” Advanced Engineering Informatics, 2024. (SCI Q1, IF 2023: 8.0, 4/179, 3.9%).

2.   Jimmy Ming-Tai Wu, Wen-Yu Lin, Ko-Wei Huang, and Mu-En Wu * “On the design of searching algorithm for parameter plateau in quantitative trading strategies using particle swarm optimization,” IEEE Transactions on Industrial Electronics, 2023. (SCI Q1, IF 2023: 7.2, 27/197, 13.5%).

3.   Chen-Yu Pan, Hsieh-Chih Hsu and Ko-Wei Huang “Real-time Control of the Air Volume in Ventilation Facilities by Limiting CO2 Concentration with Cluster Algorithms,” IEEE Transactions on Industrial Electronics, 2023. (SCI Q1, IF 2023: 7.5, 2/76, 2%). (*Corresponding author).

4.   Zih-Hao Huang, Yi-Yang Liu, and Ko-Wei Huang*, “Design and Validation of a Deep Learning Model for Renal Stone Detection and Segmentation on Kidney–Ureter–Bladder Images,” Bioengineering, 2023. (SCI, IF 2021:5.046, IF 2022: 4.6). (*Corresponding Author)

5.   Chen-Yu Pan, Hsieh-Chih Hsu, Ko-Wei Huang and Ya-Hua Lin, "Application of Data-Driven Building Information Modeling in the Visual Simulation of Disease Transmission and Route with Pipeline System", Indoor Air, 2023, (SCI, IF 2021: 6.554, IF 2022: 5.8)

6.   Chung-Hsing Chen and Ko-Wei Huang*, “Document Classification Using Lightweight Neural Network,” Journal of Internet Technology, 2023. (SCIE, IF 2021:1.14, IF 2022: 1.6) (*Corresponding Author)

7.   Ko-Wei Huang, Ze-Xue Wu, Chang-Long Jiang, Zih-Hao Huang, and Shih-Hsiung Lee. “International Journal of Computational Intelligence Systems", International Journal of Computational Intelligence Systems, 2023. (SCI, IF 2021: 2.259, IF 2022: 2.9)

8.   Ko-Wei Huang, Yao-Ren Yang, Zih-Hao Huang, Yi-Yang Liu, and Shih-Hsiung Lee, “Retinal Vascular Image Segmentation Using Improved UNet Based on Residual Module”, Bioengineering, 2023. (SCI, IF 2021: 5.046, IF 2022 : 4.6 ).

9.   Ko-Wei Huang, Guan-Wei Chen, Zih-Hao Huang, Shih-Hsiung Lee, “IWGAN: Anomaly Detection in Airport based on Improved Wasserstein Generative Adversarial Network”. Applied Sciences, 2023. (SCI, IF 2021: 2.838, IF 2022: 2.7)

10. Yi-Yang Liu, Zih-Hao Huang and Ko-Wei Huang* “Deep Learning Model for Computer-Aided Diagnosis of Urolithiasis Detection from Kidney–Ureter–Bladder Images,” Bioengineering, 2022. Bioengineering, 2023. (SCI, IF 2021:5.046, IF 2022: 4.6). (*Corresponding Author)

11. Chung-Hsing Chen and Ko-Wei Huang* “Digit Recognition using Composite Features with Decision Tree Strategy,” International Journal of Interactive Multimedia and Artificial Intelligence, 2022. (SCI, IF 2021: 4.936, IF 2022: 3.6). (*Corresponding author)

12. Yi-Yang Liu,Yen-Ta Chen, Hao-Lun Luo,Yuan-Chi Shen, Chien-Hsu Chen, Yao- Chi Chuang, Ko-Wei Huang and Hung-Jen Wang (2022, Nov). Totally X-ray-Free Ultrasound-Guided Mini-Percutaneous Nephrolithotomy in Galdakao-Modified Supine Valdivia Position: A Novel Combined Surgery. Journal of Clinical Medicine. (SCI, IF 2021: 4.964, IF 2022: 3.9).

13.  Zhi-Peng Jiang, Yi-Yang Liu, Zhen-En Shao and Ko-Wei Huang* “An Improved VGG16 Model for Pneumonia Image Classification,” Applied Sciences, 2021. (SCI, IF 2021: 2.838, IF 2022: 2.7). (*Corresponding author)

14.  Abba Suganda Girsang, Tjeng Wawan Cenggoro, and Ko-Wei Huang, ” Fast Ant Colony Optimization for Clustering”, Indonesian Journal of Electrical Engineering and Computer Science, 2018. (EI), (*Corresponding author).

15.  Shih-Hsiung Lee, Ko-Wei Huang, and Chu-Sing Yang, ”TBAS: Token-based authorization service architecture in IoT scenarios”, International Journal of Distributed Sensor Networks, 2017. (SCI)

16.  Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “A memetic gravitation search algorithm for solving the DNA fragment assembly problems”, Journal of Intelligent and Fuzzy Systems, 2016. (SCI).

17.  Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “PSGO: Particle Swarm Gravitation Optimization Algorithm”, Journal of Intelligent and Fuzzy Systems, 2015. (SCI).

18.  Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “A memetic particle swarm optimization algorithm for solving the DNA fragment assembly problem,” Neural Computing and Applications, 2014. (SCI)

19.  Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, and Ming-Chao Chiang, “A fast particle swarm optimization for clustering,” Soft Computing, 2014. (SCI).

20.  Ko-Wei Huang, Chu-Sing Yang, Chun-Wei Tsai, “A Two-Phase Hybrid ParticleSwarm Optimization Algorithm for Solving Permutation Flow-Shop SchedulingProblem,” International Journal of Computer Applications, 2012.

21.  Chun-Wei Tsai, Ko-Wei Huang, Heng-Yao Hsu, Ming-Chao Chiang, Chu-Sing Yang, “A novel topic selection algorithm based on word distribution”, International Journal of Innovative Computing, Information and Control, 2010. (SCI/EI)

22.  Wen-Yang Lin, Ko-Wei Huang, and Chin-Ang Wu, “MCFPTree: An FP-tree- based algorithm for multi-constraint patterns discovery.” International Journal of Business Intelligence and Data Mining, 2010. (EI)

 

<研討會論文>
1.  Chung-Hsing Chen, Wei-Juei Wu and Ko-Wei Huang*. “Fast Digit Recognition Using Lightweight Neural Network Model”. IEEE International Conference on Consumer Electronics – Taiwan, July, 2023. (*Corresponding author)

2.  Shih-Hsiung Lee, Jui-Chung Ni, Yen-Cheng Shen, Hsuan-Chih Ku, Chu-Sing Yang, Ko-Wei Huang, and Chun-Hao Chen, “Improved U-Net based on Dual Attention Mechanism for Glottis Segmentation and Dysphagia Auxiliary Diagnosis.” 15th Asian Conference on Intelligent Information and Database Systems, Japan, Jul, 2023., Thailand, July, 2023.

3.  Cheng-Che Hsueh, Zih-Hao Huang and Ko-Wei Huang*, “A Crow Search Algorithm with Convolutional Neural Network for Pneumonia Image Classification”. Taiwan Academic Network Conference, Taiwan, 2022. (*Corresponding author)

4.  Chung-Hsing Chen, Zih-Hao Huang and Ko-Wei Huang*, “Recognition of Handwritten English and Digits Using Stroke Features and MLP”. Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, Japan, 2022. (*Corresponding author)

5.  Ko-Wei Huang*, Guan-Wei Chen, Zih-Hao Huang, and Shih-Hsiung Lee, “Anomaly Detection in Airport based on Generative Adversarial Network for Intelligent Transportation System”. 2022 IEEE International Conference on Consumer Electronics, Taiwan.
6.  Bin-Rui Huang, Ji-Yun Chen, Xin-Yu Lai, Guan-Wei Chen and Ko-Wei Huang*, “Application of Deep Learning for Mushrooms Cultivation”. The 2021 Conference on Technologies and Applications of Artificial Intelligence, Taichung, Taiwan. (*Corresponding author)
7.  Yu-Jen, Ko-Wei Huang*, and Shih-Hsiung Lee, “Defect Detection of Stainless Steel Plates Using Deep Learning Technology”. International Conference on Pattern Recognition, Italy, 2021.
8.  Ze-Xue Wu, Ko-Wei Huang*, and Chu-Sing Yang, “A Fuzzy Crow Search Algorithm for Solving Data Clustering Problem. International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Japan, 2020. (*Corresponding author)
 

＜會議發表＞
1.  Ko-Wei Huang, Ze-Xue Wu, Hsing-Wei Peng, Ming-Chia Tsai, Yu-Chieh Hung, and Yu-Chin Lu, “A Memetic Particle Gravitation Optimization Algorithm for Solving Image Segmentation”. IEEE International Conference on Applied System Innovation, Japan, 2018. [Best paper Award], (EI-index). 
2.  Ko-Wei Huang, Abba Suganda Girsang, and Ze-Xue Wu, “Memetic Particle Gravitation Optimization Algorithm for Solving Data Clustering”. International Conference on Engineering, Science and Applications, Japan, 2018.
3.  Pang-Wei Tsai, Wai-Hong Fong, Ko-Wei Huang, Mon-Yen Luo, and Chu-Sing Yang, “Design and Development of Virtual Nodes in the Network Testbed for Emulation”. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, Canada, 2015. (EI-index)
4.  Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang, and Chun-Wei Tsai, “A Memetic Gravitation Search Algorithm for Solving Data Clustering,” IEEE International Conference on Congress on Evolutionary Computation, Sendai, Japan, 2015. (EI-index).
5.  Jui-Le Chen, Ko-Wei Huang and Chu-Sing Yang, “A prototype generation with same proportion method for Nearest Neighborhood Classification,” IEEE International Conference on Consumer Electronics, Taipei, Taiwan, 2015.
6.  Yi-Chuan Chen, Ko-Wei Huang, Szu-Chang Wang, Syau-Wen Huang, Chyou-Yan Lin, and Ming-Quinn Chen, “Implement a Critial Laboratory Results Management System to Improve CRM,” Joint Conference on Medical Informatics in Taiwan 2013, Taipei, Taiwan, 2013. 
7.  Zheng-Lun Li, Ko-Wei Huang, Szu-Chang Wang, Syau-Wen Huang, Chyou-Yan Lin, and Ming-Quinn Chen, “A Solution to Improve the Efficiency of Health Examination Services,” Joint Conference on Medical Informatics in Taiwan 2013, Taipei, Taiwan, 2013. 
8.  Ko-Wei Huang, Jui-Le Chen, and Chu-Sing Yang, “A Hybrid PSO-Based Algorithm for Solving DNA Fragment Assembly Problem,” International Conference on Innovations in Bio-Inspired Computing and Applications, Kaohsiung, Taiwan, 2012. [Best Paper Award], (EI-index)
9.  Ko-Wei Huang, Wei-Chung Cheng, Chun-Wei Tsai, Chu-Sing Yang, “Design and Implementation of an Ontology-based Intelligent Project Management System,” IEEE International Conference on Advanced Information Networking and Applications, Fukuoka, Japan, 2012. (EI-index)
10.  Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, and Ming-Chao Chiang, “An Efficient PSO-based Clustering Algorithm“, International Joint Conference on Knowledge Discovery, KDIR Valencia, Spain, 2010.
11.  Chun-Wei Tsai, Ko-Wei Huang, Chu-Sing Yang, and Ming-Chao Chiang, “A Fast Tree-Based Search Algorithm for Cluster Search Engine“, IEEE International Conference on Systems, Man and Cybernetics, San Antonio, USA, 2010. (EI-index)
12.  Wen-Yang Lin, Ko-Wei Huang, He-Yi Li, and Chang-Long Jiang, “Mining frequent patterns with item, aggregation, and cardinality constraints”. In 3rd International Conference Innovative Computing Information and Control, Dalian, China, 2008.