YAN SIANG CHEN
Cybersecurity Researcher | AI Engineer | Blockchain Developer | Full Stack Developer
Exploring the intersection of security, artificial intelligence, and blockchain technology
Background
With over 3~4 years of experience in cybersecurity and AI development, I'm passionate about creating secure, intelligent systems that can make a positive impact. My research focuses on implementing AI-driven security solutions and exploring blockchain applications for enhanced data integrity.
Research Projects
Cloud Security and Privacy Mechanisms Against Coexistence Attacks
Tunghai University, Graduate Research | 2020 – 2021
- Led the cybersecurity research segment, focusing on malware detection and packet analysis
- Achieved 98% accuracy in identifying threats through data processing and machine learning
Integration of Wearable IoT and AI Deep Learning for Dialysis Discomfort Prediction
Tunghai University, Graduate Research | 2019 – 2021
- Developed an LSTM-based predictive model using patient dialysis machine data
- Achieved 89% accuracy in predicting discomfort levels, improving patient monitoring
Cross-Platform Multi-Modal Machine Learning for Suspicious Account Detection
Tunghai University, Graduate Research | 2020 – Present
- Built an unsupervised deep learning classifier using Twitter fake account datasets
- Aimed to detect suspicious accounts and prevent disinformation-based manipulations
Adaptive and Multi-Modal Federated Learning System
Ministry of Science and Technology Funded Project | 2021 – Present
- Principal researcher of a two-year project approved by the Ministry of Science and Technology
- Led a team to accelerate development, achieving initial results in six months instead of two years
- Responsible for NLP, backend system development, server setup, and system planning & integration
Research & Publications
-
Steganography in RGB Images Using Adjacent Mean
Published in IEEE IIEEE Access, 2021
-
Analysis of Tweet Sentiment and Propagation Graph of Twitter Users
Published in IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII), 2023
-
Machine Learning and AI for Intrusion Detection: A Comprehensive Approach
Published in International Journal of Cybersecurity, 2023
-
Blockchain-based Security Framework
Presented at IEEE Security Conference, 2022
Professional Experience
System Integration Engineer
Industrial Technology Research Institute (ITRI) | Mar 2023 – Nov 2024
- Led system architecture planning and security technology integration for enterprise solutions
- Specialized in Zero Trust architecture and blockchain security while also researching GAI (Generative AI) models and Speech AI models
- Provided cybersecurity consulting services, achieving key performance indicators:
- Delivered cybersecurity consulting services to 4 companies
- Assisted 5 companies in integrating Zero Trust solutions
- Contributed to the development of post-quantum cryptography, specifically the Dilithium algorithm
- Led the development and implementation of FIDO and FDO algorithms
Director, Innovation Center
Wale Forensics Technology Co., Ltd. | Dec 2024 – Present
- Developing AI-powered forensic tools for digital investigations
- Overseeing the cross-departmental workflow system for better operational efficiency
- Development of an iOS-based evidence management application
Technical Skills
Core Technologies
- Python
- GCP
- Git
- Docker
AI & Machine Learning
- AI Model Development
- Deep Learning
- Data Science
- Keras | NumPy
- Pandas | Scikit-Learn
Web Development
- Django
- Flask
- API Development
Blockchain & Security
- Cryptography
- Web3.0
- Solidity
Programming Languages
- Python
- Java
- C#
Operating Systems & Cloud
- Linux
- GCP
Current Projects
AI-Driven Security Framework
Developing an intelligent system for real-time threat detection and response.
Blockchain Security Protocols
Researching novel approaches to secure smart contract implementations.
Get in Touch
Interested in collaborating or learning more about my work?