Gild Wen-Cheng Shen

Doctral Candidate

WEN-CHENG (GILD) SHEN

Contact: gildshen@iss.nthu.edu.tw, +886-929-363-016

101, Sec. 2, Kuang-Fu Road, Hsinchu 30013, Taiwan

RESEARCH INTERESTS:

How HI & AI cocreate in knowledge management?
- Mr. Ikujiro Nonaka once said: "True innovation emerges from collective wisdom generated through dialogue between people with different backgrounds and perspectives, sometimes through conflict." From his perspective, true knowledge is not something pre-formed or pre-trained (as mere data); rather, it is created through interaction and practice between individuals.
- My argument is that while the role of an AI Agent (Knowledge Assistant, KA) is highly diverse—it can act as a Facilitator, Enabler, Mediator, Agent, or even a Twin of the human actor—its sole mission and focus should be dedicated to the individual’s knowledge. In particular, it should assist in the understanding and validation of tacit knowledge and practical wisdom (phronesis) without incorporating any non-personal knowledge.
- My research aims to leverage KA to understand and validate its owner's knowledge and social network, and to facilitate the creation of collective knowledge communities through collaboration between KAs.
- Through the formation of Knowledge Entities (KEs)—emerging from the interaction between humans and Knowledge Assistants—various forms of knowledge connections (such as knowledge chains and knowledge networks) can be established. This enables knowledge flow and exchange, fostering knowledge co-creation in a manner similar to the SECI model, ultimately driving organizational innovation.

EDUCATION

PhD: Institute of Service Science, National Tsing Hua University, Hsinchu, Taiwan. (Sep,2020~Current)
MS: MBA in Department of Management Information System, National Pingtung University of Science and Technology, Pingtung, Taiwan. (1996~1998)
B.S., in Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan. (1992~1996)

PUBLICATIONS

Journal Papers

Shen, W. C., & Lin, F. R. (2025) “The Institutionalization of Farmers Association Service Offerings via LINE Group During COVID-19 Pandemic, revising for resubmission to Pacific Asia journal of the Association for Information Systems (preprint, PAJAIS).

Conference Paper

Shen, W. C., & Lin, F. R. (2024) “The Design of AI-Enabled Experience-Based Knowledge Management System to Facilitate Knowing and Doing in Communities of Practice “ (KMO/LTEC) https://doi.org/10.1007/978-3-031-63269-3_22
Shen, W. C., & Lin, F. R. (2023). “What Drives Workers to Learn Online during COVID 19 Pandemics? Hawaii International Conference on System Sciences” (HICSS) https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1695&context=hicss-56
Shen, W. C., & Lin, F. R. (2022). The Institutionalization of Farmers Association Service Offerings via LINE Group During COVID-19 Pandemic. International Conference on Service Science and Innovation (ICSSI)

PROJECTS

The Integrated Research on Mining Clinical Process for Medical Practical Training: Cooperate with scholars in Kaohsiung Chang Gung Memorial Hospital. Through cooperation with medical experts in the field of service science, this project hopes to integrate data exploration technology with user behavior analysis technology in the field of medical education and develop a medical digital teaching method with the concept of "capturing a new perception during the pandemic". Applying process mining and NLP techniques to diagnosis and treatment points in medical education. NSTC (2023.08~2025.07)
Benchmark Project in the Field of Humanities and Social Sciences for Higher Education Institutions: Adjunct Research Assistant: Design and construction of knowledge management system for Academy of Resilience, which is knowledge management system of the project. MOE (2023.07~now)
The Leading Program in Humanities and Social Sciences at Universities and Colleges: Adjunct Research Assistant: Assisted Professor Lin Fu-ren in organizing research data of the project, compiled research outcomes from professors within the project, conducted field investigations in Beipu Township, and assisted in organizing the year-end forum and year-end report. MOE (2021.01-2022.12)
Innovations of Online Learning Services during the Pandemic: Adjunct Research Assistant: Questionnaire Design, Data Collection, and Analysis, with Results Published in HICSS Conference. Service Science Society of Taiwan (S3TW) (2020.09~2021.01)

PAPERS UNDER REVIEW

Journal Papers Under Review, submission, and preparing:

Shen, W. C., & Lin, F. R., “What Drives Workers in Different Sectors to Learn Online during COVID-19 Pandemics?”, submission to Information Systems and e-Business Management (TBD).

Conference Paper

Shen, W. C., Lin, F. R., Yang, Y. S., Wang, W.C., (2025) “Design Principles for Human-AI Collaborative Knowledge Service Systems” (KMO/LTEC)

AWARDS

2023 NTHU CTM Doctoral Students Research Award (link)
2023 Winners of the 2023 NTHU International Visiting Scholarship
2023 Domestic graduate students participate in international academic conferences reimbursement.
2023 "Sandwich" Doctoral Scholarship for Exchange, Bar-Ilan university (Exchang canceled because of Israel-Hamas Conflict)
2023,2024 NSTC outstanding PhD scholarship

THESIS

沈紋正（1998）。分散式層次輪置視訊檔案伺服器之設計與實作。﹝碩士論文。國立屏東科技大學﹞, Design and Implementation of A Distributed Hierarchical Striping File System for Video-On-Demand (Master thesis, National Pingtung University of Science and Technology), https://hdl.handle.net/11296/p2td54.

TECHNICAL SKILLS

Process Mining
- Applying process mining techniques in clinical pathway analytics.
Foundation Models
- Agentic AI design: Agentic AI programming and framework design.
- LLMs: RAG and Agent techniques based on OPENAI and LANGCHAIN techniques, combining with graph DB (NEO4J) and vector DB(milvus, NEO4J 5). For knowledge agent development which is related to my doctoral dissertation.
- Python: Experienced in deploying foundation models for natural language processing and deep learning tasks. Like BERT, ROBERTA, ALBERT.
- RASA: Advanced proficiency in dialog management and developing conversational AI with RASA.
Machine Learning
- Python: Extensive experience in machine learning and deep learning projects using Python.
- R: Utilized for data mining and statistical analysis in quantitative research.
- RapidMiner: Machine learning project in the BADM class.
Text Mining
- Python: Proficient in text mining and natural language processing techniques for extracting insights from textual data.
- R: Applied for data mining and analytics in research-oriented projects.
Web Service Development
- JavaScript: Skilled in front-end development for interactive web services.
- PHP, MS SQL, MySQL: Comprehensive knowledge in backend development for web applications, including database integration. For Learning management system product development.
- Now is working on Django using node.js.
Databases management
- Milvus: Vector database for RAG.
- NEO4j: Expertise in graph science development using Cypher query language. Also exploring the potential possibility using vector data in it.
- PHP, MS SQL, MySQL: Well-versed in SQL database management and application development. For Learning management system product development.
Data Analysis
- R: Profound knowledge in statistical analysis and data mining during the class and publication.
- Python: Proficient in using Python for machine learning and data analysis tasks in research
- SMARTPLS: for publication use.
- Tableau: Data visualization in the class.
Video Server Development
- Windows Programming, Visual C++: Experienced in developing video on demand (VOD) servers and related software solutions. Thesis development.