National Cheng Kung University

Professor
Kun-Ta Chuang

Department of Computer Science
and Information Engineering

Dr. Kun-Ta Chuang specializes in the intersection of Data Science, Machine Intelligence, and System Architecture. With a rich background spanning algorithm development in the semiconductor industry to leading major academic labs, his research creates highly scalable and secure infrastructure for next-generation AI services. His expansive portfolio includes developing advanced machine learning models and driving profound technological impacts across academia, government, and industry.

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About

Kun-Ta Chuang is currently a Professor in the Department of Computer Science and Information Engineering at National Cheng Kung University (NCKU), Tainan, Taiwan. His research focuses on Data Mining and Machine Learning, with a commitment to bridging theoretical advances and practical applications.

Dr. Chuang received his Ph.D. in Graduate Institute of Communication Engineering (GICE) from National Taiwan University in 2006. Prior to joining NCKU, he joined Synopsys to serve as a Senior Engineer from 2006-2011, working on algorithm development for Design Rule Check (DRC) - a major step during physical verification signoff process. Now he leads NETDB Laboratory, which research focuses on delivering Innovation of Data and Machine Intelligence.

Education

Ph.D. in Graduate Institute of Communication Engineering National Taiwan University 2006

Positions

Professor, Dept. of CSIE, National Cheng Kung University 2025 — Present
Deputy Executive Office, Shalun Healthcare and Innovation Park Implementation Office 2023 — Present
Director, Center for Research of E-life DIgital Technology, National Cheng Kung University 2020 - Present
Director, Accton-NCKU Joint Research Center 2024 - Present
領域專家, 行政院 科技會報辦公室 科技政策專家室智慧資通群組 2020 - Present

Research Interests

Our research leverages cutting-edge technologies of AI, Machine Learning, Data Engineering, Data Science, Blockchain, and Database/Cloud Architectures to derive profound insights, ensure data integrity, and build scalable solutions for societal and industrial challenges.

Machine Learning &
Deep Learning

Developing novel neural network architectures and training methodologies for complex pattern recognition tasks.

Data Mining &
Big Data Analytics

Extracting meaningful insights from massive datasets through advanced analytical methods and visualization techniques.

Cloud &
Network Technologies

Architecting scalable cloud infrastructures and secure frameworks to power next-generation agentic services.

Blockchain

Leveraging distributed ledger technologies to design tamper-proof architectures that guarantee data integrity and secure trust.

Selected Publications (after 2020)

View all on Google Scholar
2026
MetaGD-CAN: A Hybrid Generative–Discriminative Method for Cancer Detection in EHR Data Yu-Hsiang Chang, Wei-Chun Tsai, Lo Pang-Yun Ting, and Kun-Ta Chuang* 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (oral presentation, acceptance rate ~25%)
2025
DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing Lo Pang-Yun Ting, Yu-Hao Chiang, Yi-Tung Tsai, Hsu-Chao Lai, Kun-Ta Chuang* International Joint Conference on Artificial Intelligence (IJCAI) 2025 (acceptance rate 18%)
2025
Early Detection of Patient Deterioration from Real-Time Wearable Monitoring System Lo Pang-Yun Ting, Hong-Pei Chen, An-Shan Liu, Chun-Yin Yeh, Po-Lin Chen, Kun-Ta Chuang* International Joint Conference on Artificial Intelligence (IJCAI) 2025 (acceptance rate 18%)
2025
Hypergraph-Enhanced Kernel Initialization for Convolutional LSTM Networks: Insights from Asset Correlation Forecasting Lo Pang-Yun Ting, Hua-Cheng Cheng, Yu-Hua Zeng, Kun-Ta Chuang* 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (full paper, acceptance rate 134/696-19%)
2025
MAC-DP: Multi-Agent Control for Dynamic Placement of Electric Vehicle Charging Stations Lo Pang-Yun Ting, You-Cheng Guo, Chi-Chun Lin, Shih-Hsun Lin and Kun-Ta Chuang* International Journal of Data Science and Analytics 20(7): 6539-6553 (Impact Factor 2023: 3.4)
2024
Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables Hsu-Chao Lai, Po-Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang* accepted by IEEE BigData 2024 (regular paper, acceptance rate 18.8%)
2024
Multi-agent Reinforcement Learning for Online Placement of Mobile EV Charging Stations Lo Pang-Yun Ting and Chi-Chun Lin and Shih-Hsun Lin and Yu-Lin Chu and Kun-Ta Chuang* 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (oral presentation, acceptance rate 19%)
2024
Using Blockchain for Incentive-Driven FHIR-based Health Record Exchange Moritz Rosar and Kun-Ta Chuang* Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (SAC) 2024, Avila, Spain, April 8-12, 2024, 298-299
2024
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion Lo Pang-Yun Ting and Huan-Yang Wang and Jhe-Yun Jhang and Kun-Ta Chuang* ACM Transactions on Intelligent Systems and Technology, 2024, 15(5), 109:1--109:26 (Impact Factor 2023: 7.2)
2024
An Explore-Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series Lo Pang-Yun Ting and Rong Chao and Chai-Shi Chang and Kun-Ta Chuang* ACM Transactions on Intelligent Systems and Technology, 15(4), 69:1--69:25 (Impact Factor 2023: 7.2)
2022
An Incentive Dispatch Algorithm for Utilization-Perfect EV Charging Management Lo Pang-Yun Ting and Po-Hui Wu and Hsiu-Ying Chung and Kun-Ta Chuang* 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (blind-review, acceptance rate=19.3%, out of 627 submissions)
2022
Interactive planning of revisiting-free itinerary for signed-for delivery Lo Pang-Yun Ting and Shan-Yun Teng and Szu-Chan Wu and Kun-Ta Chuang* International Journal of Data Science and Analytics, 14(4), 439-456 (Impact Factor 2023: 3.4)
2021
An innovative wearable device for monitoring continuous body surface temperature (HEARThermo): Instrument validation study Chun-Yin Yeh and Yi-Ting Chung and Kun-Ta Chuang and Yu-Chen Shu and Hung-Yu Kao and Po-Lin Chen and Wen-Chien Ko and Nai-Ying Ko* JMIR mHealth and uHealth, 9(2), e19210 (Impact Factor 2023: 5.4)
2020
Learning Personal Conscientiousness from Footprints in E-Learning Systems Lo Pang-Yun Ting and Shan-Yun Teng and Kun-Ta Chuang* and Ee-Peng Lim 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, 1292-1297 (triple-blind review, short paper, acceptance rate=19.7% out of 930 submissions)
2020
Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation Lo Pang-Yun Ting and Tiago Koketsu Rodrigues and Nei Kato and Kun-Ta Chuang 92nd IEEE Vehicular Technology Conference, VTC Fall 2020, Victoria, BC, Canada, November 18 - December 16, 2020, 1-5
2020
Queries of K-discriminative paths on road networks Chien-Wei Chang and Chu-Di Chen and Kun-Ta Chuang* Knowledge and Information Systems, 62(5), 1751-1780 (Impact Factor 2023: 2.5)
2020
Budget-Constrained Real-Time Bidding Optimization: Multiple Predictors Make It Better Chi-Chun Lin and Kun-Ta Chuang and Wush Chi-Hsuan Wu and Ming-Syan Chen* ACM Transactions on Knowledge Discovery from Data, 14(2), 14:1--14:27 (Impact Factor 2023: 4.0)
2020
Continuous temperature monitoring by a wearable device for early detection of febrile events in the SARS-CoV-2 outbreak in Taiwan, 2020 Yi-Ting Chung and Chun-Yin Yeh and Yu-Chen Shu and Kun-Ta Chuang and Chang-Chun Chen and Hung-Yu Kao and Wen-Chien Ko and Po-Lin Chen and Nai-Ying Ko* Journal of Microbiology, Immunology, and Infection, 53(3), 503-504 (Impact Factor 2023: 4.5)

Recent Projects

A selection of funded research projects and collaborative initiatives I am currently leading or involved in. See all projects in NETDB lab's page.

Active

Digital Diploma for all Universities in Taiwan

We are spearheading a monumental initiative for the Ministry of Education, taking charge of the service development for the Digital Diploma and Digital Wallet (TW-DIW) projects for all university in Taiwan based on the Distributed Ledger Technologies (DLT). This service has rapidly expanded its reach, demonstrating versatility across various fields, including insurance and medical services, and other projects of digital certificates. It's about revolutionizing how credentials are managed and verified, setting a new standard for digital trust and efficiency nationwide. See reports here.

MOE Funded
Active

Advanced Automotive and Wireless Communication Semiconductor

Partnering with Infineon Technologies, we apply advanced AI to revolutionize automotive semiconductor applications. Key contributions include developing the MambaBSP Python library for highly accurate wireless battery management (wBMS) predictions, alongside engineering a novel, sensor-free passenger detection system utilizing deep learning and WIFI Channel State Information (CSI) to enhance smart cabin safety.

Industry Collaboration with Infineon 2024 — 2027
Active

Composable AI Architecture

We have established the Accton–NCKU Joint Research Center (智邦–成大聯合研發中心). In 2025, Accton and Edgecore announced the launch of the new Nexvec™ solution, designed to provide enterprises with an integrated and open platform for AI infrastructure. This solution integrates disaggregated networking with composable compute and storage, combining Edgecore’s open networking product line, Liqid’s dynamic resource allocation, and the self-developed Nous controller to enable fully automated Day 0 to Day 2 operations. Its primary goal is to simplify AI deployment, support scalable and programmable architectures, and accelerate enterprise adoption of AI applications.

Industry Collaboration with Accton 2025 — 2028

Recent Courses

Courses I am currently teaching or have recently offered at NCKU.

Spring 2026

Generative AI Application Systems and Engineering

Graduate-level

This course focuses on the end-to-end development of Generative AI application systems. Students will be guided through requirements analysis, system design, implementation, and deployment to successfully build a complete Generative AI web service.

Fall 2025

Theory of Computation

Undergraduate-level

To familiarize students with the foundations and principles of computer science. Covers fundamental theory of computation, automata, formal language, grammar, computability and complexity. The topics include regular language, context-free language and turing machines.

© 2026 Kun-Ta Chuang. All rights reserved. National Cheng Kung University