Prof. Yuh-Wen Chen’s research spans several decades of academic excellence in computational intelligence and decision science.

ResearchGate https://www.researchgate.net/profile/Yuh-Wen-Chen

Scopus https://www.scopus.com/authid/detail.uri?authorId=8851654300

1. Fuzzy Systems & Decision Making: A leading expert in Fuzzy Multi-Objective Programming and Fuzzy Synthetic Decision Methods. His work often applies these theories to complex logistics and infrastructure problems, such as the optimal location of airport fire stations and route selection for hazardous waste transport.

2. Optimization & Evolutionary Algorithms: He has pioneered the use of Genetic Algorithms (GA) for many multi-objective optimization problems.

3. Industrial AI & Healthcare: His research extends to practical AI applications, including intelligent patient beds using eye-tracking for disabled patients and the development of machine learning models (such as Support Vector Machines and Decision Trees) to predict environmental emissions from heavy construction equipment.

4. Strategic Digital Transformation: His current leadership focus at the studio is bridging the gap between high-level academic research (AI, Big Data, IoT) and practical, scalable solutions for the digital transformation of local industries.

5. Artificial Intelligience; His recent interests matches the Nvidia trends for small language models and visual detections for empowering real industries.

D Infinity Studio: https://dinfinitystudio.com/

The studio focuses on "Digital Metamorphosis," helping Small and Medium Enterprises (SMEs) transition toward a sustainable future through Digital Transformation (DX). Its research and project highlights include:

Intelligent Agricultural Systems: Development of a Visual Recognition Fruit Picking Robot. This project involves deep estimation algorithms, image detection, and integration with PLC (Programmable Logic Controller) and edge computing chips to drive robotic arms for field harvesting.

Generative AI for Education: Implementation of a Cisco Webex Chatbot for Wind Power Apprenticeship. Based on OpenAI’s Large Language Models (LLM/ChatGPT), this research focuses on personalized learning experiences by analyzing student behavior data to provide tailored materials in a highly interactive way.

Smart Manufacturing & Sustainability: Research into Intelligent Manufacturing Systems that utilize IoT for remote monitoring of security, production, and energy consumption (carbon emissions). The focus is on using AI for automated quality improvement and data-driven factory management.

Cloud Collaboration & IoT Prototyping: Integration of the Collaborative Cloud Hub (Thinger.io), an open-source platform used for low-cost IoT prototyping, data visualization, and experimental assessment for SMEs before large-scale deployment.