Biography
Ph.D. candidate in the Department of Electrical Engineering at National Taiwan University and an AI consultant for the Industrial Development Bureau, Ministry of Economic Affairs. He serves as a special lecturer for the Institute for Information Industry's Data Hackathon, a trainer for the Star Rocket Foundation's startup program, and a consultant/lecturer for organizations like BroadMission Academy, CSA, PanSci, Udemy, HiSkio, and Feng Chia University.
He has received awards such as the AI Talent Training Star from the Industrial Development Bureau, two AIGo Talent Competition Excellence Awards, and a Bronze Award for AI Application Startups. With prior R&D and consulting experience at companies like Quanta, Trend Micro, and D-Link, he holds multiple AI patents and competition awards.
Skills & Expertise
AI, Data Science & Vision
Cloud, IoT & Infrastructure
Robotics & Automation
Software Engineering & Security
Tools & Languages
Publications & Awards
Journal & Conference Papers
S. -W. Chao and F. -L. Lian, "A Self-Adaptive Frequency Decomposition Approach for Denoising to Enhance Data-Driven Learning of Cyclic Time Series in Medical Signal Estimation," in IEEE Access, vol. 13, pp. 5236-5247, 2025, doi: 10.1109/ACCESS.2024.3525152.
C.R. Lin and Shiang-Wei Chao, "A Multicast Routing Protocol for Multihop Wireless Networks", IEEE GLOBECOM'99
F.Y. Leu and S.W. Chao, "A Distributed Database Architecture and its Query," Proceedings of National Computer Symposium, Dec. 1997, A38-A42.
Patents
- "Method and system for human feature recognition", Taiwan Patent I790414, Jan 2023
- "Feature recognition method and system", Taiwan Patent I779488, Oct 2022
- "Visual activity recognition system based on multiple objects", Taiwan Patent I759534, Apr 2022
- "Push notification decision support method and system", Taiwan Patent I739388, Sep 2021
- "Cloud migration system", Taiwan Patent I699657, July 2020
- "Representative mobile station system for ad-hoc wireless mobile networks", Taiwan Patent 453057, Sep 2001
Awards
- AI Talent Training Star (BroadMission Technologies), Industrial Development Bureau, MOEA, Nov 2019
- Bronze Award for AI Application Startup, Industrial Development Bureau, MOEA, Nov 2018
- Certified AI Application Talent Cultivation Institution (BroadMission Technologies), Industrial Development Bureau, MOEA, Oct 2018
- Two Excellence Awards in AI Talent Competition, Industrial Development Bureau, MOEA, Oct 2018
Courses
Computer Architecture
Understand the basic concepts and composition of computer architecture, master instruction set design, learn about memory hierarchy and management, and become familiar with trends in modern computer architecture.
Microprocessor Architecture
Understand the basic concepts and applications of microprocessors and microcontrollers, master their technical characteristics, learn their instruction set architecture, and be able to design and implement embedded system applications.
Algorithms
Learn the design, analysis, and implementation of algorithms, master the principles and application scenarios of common algorithms, and develop logical thinking and efficiency optimization skills for solving complex problems.
Data Structures
Introduce various basic and advanced data structures, understand their characteristics and applicable scenarios, and learn how to select and implement the most suitable data structures to solve programming problems.
Operating Systems
Explore the core concepts and principles of operating systems in depth, understand mechanisms like processes, threads, memory management, file systems, and I/O, to see how modern computer systems operate.
Programming
Learn the basic syntax and concepts of a programming language like Python, become familiar with its standard library and third-party packages, master basic programming techniques, and enhance problem-solving skills.
Introduction to Machine Vision
Allows students to understand the basic concepts of deep machine vision, become familiar with its various methods, and develop the ability to apply it to solve practical problems and understand the latest technologies.
Time Series Signals
Familiarizes students with different types of time series models and methods, and develops their ability to analyze, predict, and control time series signals, understanding the latest processing techniques and applications.
Machine Learning and Frontier Trends
Allows students to understand the basic concepts and principles of machine learning, become familiar with its various methods and techniques, and develop the ability to apply it to solve real-world problems.
Digital Logic Design
Enables students to understand the basic concepts of digital logic circuits, develop the ability to design and analyze combinational and sequential logic circuits, and understand the latest technologies and applications.
Introduction to Computer Science
Enables students to understand the fundamental concepts of computer hardware and software, develop basic design and analysis skills, and become familiar with mainstream programming languages and development environments.
Blog
October 26, 2023
Example Post: The Future of Generative AI
The advent of generative AI, especially Large Language Models (LLMs), is revolutionizing how we interact with technology. From academic research to industrial applications, its potential is limitless... (Click to read more)