D Infinity Studio
Research Field
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.
1.Industry 4.0, SME transformation, and SDGs/ESG alignment
Work connecting digital transformation capabilities (data/IT adoption) with sustainability outcomes for small and medium enterprises.
2.Applied AI / Machine Learning for industrial quality inspection and decision support
Practical implementations of ML/DL models such as YOLO-family vision algorithms and neural networks for manufacturing quality classification (e.g., surface defect/quality inspection in industrial processes).
3.Data mining & text analytics for consumer/visitor insights and business optimization
Topics include text mining for perception analysis (e.g., urban parks/tourism), sentiment analysis (SVM/Naïve Bayes, vectorizers, data splitting), and association rule mining (Apriori) for product bundling/sales strategy.
4.Operations research, performance evaluation, and project/supply-chain analytics
Research using methods such as DEA / regression / efficiency evaluation, and project management analytics (e.g., Earned Value + ML for performance prediction).
5.Fuzzy systems & multi-criteria decision making (MCDM)
Contributions in fuzzy AHP / Choquet integral / fuzzy measures and related decision modeling for complex evaluation problems.
6.Optimization & intelligent algorithms for complex systems planning
Examples include fuzzy multi-objective optimization with genetic algorithms for infrastructure/network reconstruction and related planning problems.
7.Smart applications in tourism mobility and healthcare education (AR)
Includes intermodal transportation journey planning in tourism contexts and augmented reality applications for medical/nursing training workflows.
Please refer some important/selected awards:
https://drive.google.com/file/d/1i9vHDDXXLLRr34VxlWQEpKqmpq4tpomF/view?usp=sharing
My highest degree is Engineering Phd degree of Management College, National Chiao Tung University, Taiwan , R.O.C.
Job Description
Experienced in smart manufacturing, IOTs, industrial automation, deep learning
Preferred Intern Educational Level
Bachelor Student at University
Skill sets or Qualities
Python, neural networks
Internship-related fee required by the school/institution
We would like to inform you about the fees you will need to cover during your internship period at Da-Yeh University:
- Dormitory Fees: The approximate cost for a four-person room is around 3,000 New Taiwanese Dollars.
- Insurance: Students must have valid insurance for the duration of their stay at Da-Yeh University. We ask that all students obtain insurance before arriving at Da-Yeh University.
- Miscellaneous Fees: This may include costs such as books and other related expenses.
Please note that living expenses are not included in the above list.
Job Description
Smart Manufacturing and Automation in Agriculture
Preferred Intern Educational Level
Bachelor Student
Skill sets or Qualities
Experiences or Skills for Visual Detection in Agriculture, such as:
- Support YOLO model training and testing, including checking detection accuracy and整理 results.
- Assist in OpenCV image preprocessing and basic data cleaning.
- Support AOI prototype integration, including camera setup, image capture testing, and Jetson Nano deployment.
Internship-related fee required by the school/institution
We would like to inform you about the fees you will need to cover during your internship period at Da-Yeh University:
- Dormitory Fees: The approximate cost for a four-person room is around 3,000 New Taiwanese Dollars.
- Insurance: Students must have valid insurance for the duration of their stay at Da-Yeh University. We ask that all students obtain insurance before arriving at Da-Yeh University.
- Miscellaneous Fees: This may include costs such as books and other related expenses.
Please note that living expenses are not included in the above list.