Wei-Jen Wang

Introduction

I am a professor in the Department of Computer Science and Information Engineering at National Central University. I received BS. and MS. degrees in Computer and Information Science from National Chiao Tung University in Taiwan, in 1997 and 1999, respectively. I received Ph.D. degree in Computer Science from Rensselaer Polytechnic Institute (RPI) in the United States on December, 2006. My research interests are the areas of Fault Tolerant Virtual Machines, Cloud/Edge Computing, Smart Manufacturing, Scientific Computing, Information Hiding. I am affiliated with the parallel and distributed computing laboratory.

Current Research Interests

• Virtual Machine Fault Tolerance and High Availability: High availability for cloud platforms, real-time virtual machine recovery mechanisms, and performance and reliability prediction.
• Smart Manufacturing Technology: Yield modeling and analysis, machine diagnostics, multi-stage process parameter optimization, and intelligent visual inspection (AOI).
• Information Security Technology: System and container security, malware/WebShell detection, and AI-based security analysis techniques.
• AI Applications and Research: AI implementation and deployment, AI-assisted remote sensing image interpretation, and reliability evaluation of AI methodologies.

Recent Projects and Performance

• Industry Collaboration: Collaborated with organizations such as the Institute for Information Industry (III) and the Ministry of Agriculture on various projects, including smart manufacturing, remote sensing image analysis, and information security demonstration programs.
• Academic Honors: Recipient of the "Excellence in Project Execution Award" from the NSTC (National Science and Technology Council) Department of Computer Science and Information Engineering (2023).
• Talent Development: Advised students who have frequently received Best Paper Awards at both domestic and international conferences (e.g., ICS 2022, TANET 2020).
• Professional Services: Served as a consultant and review committee member for various government and industry projects (e.g., Taoyuan Metro's Metro-MARS safety project, Railway Bureau's intelligent railway system communication technical specifications).
• Patents: Holds multiple invention patents in Taiwan and the United States regarding cloud high availability, virtual machine fault tolerance, and failure detection for hierarchical systems.

Courses

Fall 2026
(CE3007-B) Computer Network

Previous Courses
(CE1001-A) Introduction to Computer Science I, (CE1003-A) Introduction to Computer Science Lab I, (CE5049) Introduction to Grid Computing, (CE1002-A) Introduction to Computer Science II, (CE1004-A) Introduction to Computer Science Lab II, (CE3002-A) Operating System, (SE6023) Introduction to Cloud Computing, (CE6132) Advanced Distributed Computing Models, (CE6002) Computer Science Seminar, (CE3061) Advanced Java Programming, (SE6031) VM Core Technology for Industry PC, (CE3068-*) Cloud Service Security

Publication List

Wei-Jen Wang's publication list

Representative Research and Contributions

1. High Availability and Fault Tolerance Technologies

• Cloud System High Availability: Proposed a theoretically optimal online real-time liveness error detection method for multi-tier cloud computing systems. This method effectively shortens error validation times and distinguishes between permanent and transient faults. The research was published in IEEE Transactions on Dependable and Secure Computing (TDSC).
• Virtual Machine Fault Tolerance: Designed a VM fault-tolerance mechanism with real-time recovery capabilities based on the KVM/QEMU architecture. Developed a "packet-aware fault-tolerance mechanism" to reduce synchronization overhead and improve overall performance, securing several patents in both Taiwan and the United States.
• Performance and Reliability Prediction: Applied machine learning models to analyze key factors affecting VM boot times and predict resource configuration. The research was published in the Journal of Cloud Computing.

2. Smart Manufacturing Technologies

• Production Yield Analysis and Anomaly Detection: Developed a yield modeling method based on Maximum Likelihood Estimation (MLE) and Expectation-Maximization (EM) (published in the Journal of Manufacturing Systems), and proposed a low-yield machine identification method under limited data constraints (published in IEEE Transactions on Systems, Man, and Cybernetics: Systems).
• Process Parameter Optimization: Introduced an innovative multi-stage parameter range optimization method (MPORG) that overcomes traditional single-process optimization limitations. Experimental results showed it can prevent approximately 89% of process defects (published in IEEE Transactions on Industrial Informatics).
• Smart Visual Inspection (AOI): Developed lightweight deep learning models (such as FN-Net) suitable for on-site industrial deployment, and a real-time fabric defect detection system for high-speed circular knitting machines, balancing detection accuracy and real-time processing capabilities.

3. Information Security Technologies

• System and Cloud Security: Extended error detection and fault-tolerance mechanisms to detect faults and anomalous behaviors in hierarchical systems, contributing to security frameworks for cloud and large-scale information systems.
• Verifiable AI Fundamentals: Addressed the critical but often overlooked issue of "sample size adequacy" in machine learning applications. Proposed a decision rule combining effect size and model accuracy to evaluate the credibility and stability of AI models in high-risk scenarios. This paper, published in BMC Bioinformatics, has accumulated over 350 citations.
• Malware and Web Attack Detection: Guided research combining deep learning and semantic analysis models to propose malware and WebShell detection methods based on CodeBERT and CNN-SVM.
• Container and Cloud-Native Security: Proposed a modular security architecture for Docker images and container deployment pipelines to provide systematic risk analysis and defense mechanisms.

Patents

1. Fault-tolerant method and system for multiple servers
   • Jurisdiction: ROC (Taiwan)
   • Patent No.: I529624 (Invention Patent, 2016)
2. Packet-aware fault-tolerance method and system of virtual machines applied to cloud service, computer readable record medium and computer program product
   • Jurisdiction: ROC (Taiwan)
   • Patent No.: I592796 (Invention Patent, 2017)
3. Packet-aware fault-tolerance method and system of virtual machines applied to cloud service, computer readable record medium and computer program product
   • Jurisdiction: United States
   • Patent No.: US 10,402,264 (2019)
4. Error detecting device and error detecting method for detecting failure of hierarchical system, computer readable recording medium, and computer program product
   • Jurisdiction: ROC (Taiwan)
   • Patent No.: I691852 (Invention Patent, 2020)
5. Error Detecting Device And Error Detecting Method For Detecting Failure Of Hierarchical System, Computer Readable Recording Medium, And Computer Program Product
   • Jurisdiction: United States
   • Patent No.: US 10,831,579 (2020)

Honors and Professional Services (Past 5 Years)

Academic Honors and Awards

• 2023: Recipient of the "Excellent Project Execution Award," Computer Science and Engineering Division, National Science and Technology Council (NSTC)

Professional Services

• 2025: Advisory Committee Member, "Metro-MARS Operation and Safety Improvement Project," Taoyuan Metro Corporation
• 2025: Project Consultant, Agricultural Engineering Research Center (AERC)
• 2024: Review Committee Member, "Information and Communication Technology Specifications for Smart Railway Systems," Railway Bureau, Ministry of Transportation and Communications (MOTC)

Supervised Student Awards

• 2024: Supervised student awarded the Best Paper Award at the Taiwan Conference on Software Engineering (TCSE 2024)
• 2022: Supervised student awarded the Best Paper Award at the International Computer Symposium (ICS 2022)
• 2020: Supervised student awarded the Outstanding Paper Award at the Taiwan Academic Network Conference (TANET 2020)