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Faculty
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Research Achievements and Fields |
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Chair Professor
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Liang-Pi Chen |
Prof. Liang-Pi Chen has established an international reputation in heterogeneous database query optimization, multimedia data retrieval and recommendation, and big data mining and applications. His current research focuses on using deep learning techniques to analyze electronic medical records, social media, and open data to predict whether subjects are about to suffer from acute renal failure, depression, and other diseases, or to recommend appropriate medical experts to those in need through analysis.
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Chair Professor
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Ming-Hsiang Huang
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Chair Professor Ming-Hsiang Huang received his Ph.D. in Computer and Information Science from National Chiao Tung University in 1995. He passed the national senior examination for Electronic Engineer in 1988 and the special examination for Information Engineering in 1990, obtaining Level-1 Software Engineer certification. He has served as Director of the Information Center at the Institute of Transportation, Senior Engineer at the Telecommunications Laboratories, Professor and Chair of the Department of Information Management at Chaoyang University of Technology, founding Director of the Graduate Institute of Network and Communication at Chaoyang University, and Chair and Distinguished Professor at the Department of Information Management, National Chung Hsing University. He received the NSTC Type-A Research Award for five consecutive years (1997–2001) and the 2002 Outstanding Technical Paper Award from the Taiwan Association for Educational Technology. He currently serves as Editor-in-Chief of an international journal on cybersecurity and President of the Taiwan Intelligent Computing Association. His current research interests include blockchain technology, cryptography, information and network security, e-commerce, steganography, and mobile computing. He has published over 200 SCI papers, three textbooks, and holds numerous domestic and international patents.
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Chair Professor
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Ching-Hsien Hsu
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Dr. Ching-Hsien Hsu (jointly appointed with Dept. of Computer Science, National Chung Cheng University) focuses on cloud computing, edge computing, big data analytics, streaming data analysis, high-performance computing, parallel and distributed systems. He has led numerous NSTC, MOE, industry, and international projects. From 2011–2013, he was a visiting professor at University of Stavanger (Norway) and Virginia Tech (USA). He has published over 100 high-impact papers as first/corresponding author. Recent projects include trust evaluation and scheduling in computing-power networks, SDN-based edge-cloud migration, and efficient multi-vendor IoT collaboration. | |
| Chair Professor | Wen-Lian Hsu | Main Research Fields: 1. Algorithm Analysis 2. Bioinformatics 3. Computational Linguistics 4. Natural Language Understanding 5. Intelligent Dialogue Systems |
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| Chair Professor | Hsi-Chin Hsin | Main Research Fields: 1. Deep Learning and Big Data 2. Biometric Recognition Technology 3. Information Security 4. Cloud and Fault-Tolerant Computing 5. Multimedia Applications 6. Medical Applications |
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| Chair Professor | Hsi-Ming Chen | Main Research Fields: 1. Fuzzy Systems 2. Intelligent Systems 3. Fuzzy Decision Making 4. Intelligent Computing 5. Knowledge-Based Systems 6. Machine Learning 7. Data Mining 8. Big Data Analysis 9. Genetic Algorithms 10. Particle Swarm Optimization Algorithms 11. Neural Networks |
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| Chair Professor | Jing-Yu Chan | Main Research Fields: 1. Electronic Design Automation 2. Intelligent Robot using Lego NXT |
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| Chair Professor | Hsiu-Fen Tsai | Main Research Fields: 1. Solid-State Physics Theory 2. Computational Physics 3. Semiconductor Surface Physics 4. Liquid Metal |
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| Distinguished Professor |
Wen-Chung Chang
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Recent research interests focus on IoT-related topics. Previously worked at Kodak USA and taught at National Chiao Tung University. IoT covers sensors, network communication, and data applications, connected by IoT platforms that also manage the environment. Current work includes communication protocols (MQTT, CoAP), security, authentication, encryption, and defense against hacking.
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| Distinguished Professor |
Hsing-Chung Chen
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Current research interests include AIoT, hardware-software co-design for information and communication security, blockchain-based cyberspace security, IoT applications and security, mobile/wireless protocols, biomedical signal/image processing, explainable AI (XAI), soft computing, and applied cryptography.
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| Distinguished Professor | Brij Bhooshan Gupta | Main Research Fields: 1. Information Security 2. Computer Networks 3. Software Engineering |
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| Professor |
Jin-Song Hsiao
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Current focus is on design of active/passive micro-nano optoelectronic components and development of novel electromagnetic numerical methods. Also interested in AI applications (pandemic prediction, medical applications) and various quantum computing approaches (silicon spin, ion trap, superconducting loop, diamond NV center, and topological qubits).
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| Associate Professor |
Chao-Nan Chen
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Main Research Fields:
1. Information Technology in Education: augmented reality, e-books, instant feedback systems applied to education. 2. Electronic Materials: dye-sensitized solar cells, AZO/silver nanowire transparent conductive films using liquid-phase deposition and RF magnetron sputtering. |
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| Associate Professor |
Ruey-Chyi Chen
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Current research focuses on data mining, biomedical informatics, biomedical communication, and wireless resource management. Topics include revenue prediction for listed companies, cancer incidence prediction in Taiwan, time-series visualization, drug efficacy/safety analysis, and wireless channel allocation algorithms.
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| Professor |
Chih-Jen Tsai |
NSTC Projects (2021/08/01 ~ 2022/07/31) AI-based personalized early detection and self-directed learning system for technology addiction among college students – Subproject 3: AI Personalized Automatic Detection Technology III (2020/07/01 ~ 2022/06/30) Kidney-strengthening chain project: multi-center randomized clinical trial verifying clinical nephrology care platform using medical big data, AI, and blockchain (2/4) (2019/08/01 ~ 2022/07/31) AI-based personalized early detection and self-directed learning system for technology addiction – Main project & Subproject 1 & 4 Industry-Academia Projects (2020/04/01~2022/03/31) Deep learning for predicting acute pyelonephritis from renal ultrasound (2020/11/01~2021/10/31) 3D pulmonary fibrosis quantification using supervised YOLOv5 on CT images (2020/11/01~2021/01/31) Unsupervised clustering for quantifying pulmonary fibrosis on 2D CT slices (2020/01/01~2021/07/31) AI quantification of abdominal aortic calcification on X-ray (2020/08/01~2021/07/31) Smart AI health detection and care system – correlation and prediction between subjective pain and physiological signals (Year 1) Undergraduate Research Projects (2021/07/01~2022/02/28) Facial landmark analysis to assist improvement evaluation of pediatric respiratory disorders before and after treatment |
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| Professor |
Ching-Tu King
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Labeled sequence information extraction: a scalable maximum repeated sequence extraction method and its applications
U.S. Patent No. 10,409,844 Taiwan highway traffic analysis using electronic toll collection data Cross-species whole-genome DNA maximum repeated sequence extraction and analysis Document mining and archaeological trend research Product quality control using labeled production history sequence analysis Cloud computing: AWS Academy Accredited Educator (Cloud Practitioner) Machine learning: categorical architecture relationship and fuzziness research |
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| Professor |
Chun-Yuan Lin |
Prof. Chun-Yuan Lin’s research focuses on machine learning, parallel processing, bioinformatics, brain science, and computational chemistry. He has long been engaged in GPU-accelerated bioinformatics tools and recently emphasizes brain image analysis, drug design, smart healthcare, and smart manufacturing using machine learning. In the past five years, he has published 10+ SCI journal papers, 10+ conference papers, led 4 NSTC projects, co-led 6 NSTC projects, and directed 7 industry-academia projects with companies such as Formosa Plastics, Delta Electronics, ADLINK, and Moxa. |
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| Associate Professor |
Rong-Huei Ye
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Main Research Fields:
1. Silicon Photomultiplier (SiPM): single-photon detection and precise photon arrival time measurement, widely used in high-energy physics, industry, and medicine. 2. Low-Gain Avalanche Diode (LGAD): fast response (~tens of picoseconds) and radiation hardness. |
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| Associate Professor |
Shian-Ru Ko |
Main Research Fields: 1. Automatic Control 2. Signal Processing 3. Neural Networks 4. Computer Networks Recent Research Directions: 1. Highly robust parallel state-space deep neural network architecture design and implementation 2. Novel parallel digital filter structure design 3. Improved decision feedback equalizer design 4. Robust state-space adaptive IIR filters, 2D filters, and recursive neural networks |
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| Associate Professor | Chih-Wei Tsai | Main Research Fields: 1. Deep Learning 2. Artificial Intelligence and Cloud Applications |
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| Assistant Professor | Wei-Ju Yang | Main Research Fields: 1. Neural Networks 2. Machine Learning 3. Communication Networks 4. Programming 5. Performance Analysis |
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| Lecturer | Kuo-Yu Guan | Main Research Fields: 1. RF systems: microwave components, EMI/EMC, wireless transceivers 2. Power electronics and applications: renewable energy, power conversion, energy storage, power quality, and zero-energy-consumption management technologies. |
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| Assistant Professor | Chong-Yi Tu | Main Research Fields: 1. Six-Axis Robotic Arm Software Design and Applications 2. Artificial Intelligence 3. Image Recognition 4. Data Analysis |
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| Assistant Professor | Han-Yen Wu | Main Research Fields: 1. Information Hiding (Reversible and Irreversible) 2. Digital Watermarking 3. Image Processing |
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| Assistant Professor | THI-VAN NGUYEN | Main Research Fields: 1. Machine Learning 2. Deep Learning 3. Computer Vision 4. Image Processing 5. Biometric Technology 6. Data Mining |
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