National University of Kaohsiung

Social Networks Innovation Center

I-Hsien Ting
https://www.derrickting.pro/

Research Field

Information Engineering (Information)

Introduction

Dr. Derrick I-Hsien Ting is a Professor at the National University of Kaohsiung (NUK), Taiwan, where he also serves as Director of the Social Networks Innovation Center and President of the Taiwanese Association for Social Networks. He holds a Ph.D. in Computer Science from the University of York, United Kingdom, an MBA in Information Management from National Changhua University of Education, and a BBA in Business Administration from Chinese Culture University, Taiwan.

Dr. Ting’s research expertise spans Artificial Intelligence, Social Networks, Web and Data Mining, Web Intelligence, Knowledge Management, E-commerce, Recommender Systems, Big and Open Data, and Machine Learning. He is internationally recognized for his contributions to social network research and is ranked among the top scholars worldwide in this field (top 0.79%, ScholarGPS 2025). His work has been published in leading international conferences and has received multiple Best Paper Awards in Japan, Canada, and Korea.

In addition to his academic achievements, Dr. Ting is a recipient of several honors, including Distinguished Teacher, Distinguished Tutor, and Distinguished Young Researcher awards from the National University of Kaohsiung. His interdisciplinary interests also extend into creative practice, with his film Forged Memories being nominated or selected at multiple international film festivals across Kenya, Russia, Canada, Brazil, and global filmmaker platforms.

Through his academic leadership, international collaborations, and cross-disciplinary experience, Dr. Ting is committed to fostering global talent development, innovation, and industry–academia integration. His participation in the International Internship Pilot Project aims to provide students with meaningful international exposure, practical research engagement, and forward-looking perspectives at the intersection of AI, social networks, and global innovation.

The Social Networks Innovation Center (SNIC) at the National University of Kaohsiung is a leading interdisciplinary research hub dedicated to advancing the science and practice of social networks, digital connectivity, and innovation. SNIC integrates academic research, industry collaboration, and international exchange to address complex challenges arising from networked systems and data-driven environments in both societal and commercial contexts.

Established under the University’s College of Management, SNIC serves as a dynamic platform for scholars, practitioners, and students to collaborate on cutting-edge topics such as social network analysis, information technology applications, knowledge diffusion, and data-enabled innovation. The center promotes research excellence by organizing and supporting international conferences, symposia, and workshops that bring together global expertise and facilitate high-impact knowledge exchange.

SNIC also actively fosters partnerships with government agencies, industry stakeholders, and other research institutions to co-develop applied research projects, curriculum enhancements, and practical learning opportunities. Through these efforts, the center enhances both academic training and real-world problem solving, preparing students and researchers to contribute meaningfully to network-centric innovation ecosystems worldwide. 

As part of its mission, SNIC supports international engagement and interdisciplinary talent development — an ideal foundation for initiatives like the International Internship Pilot Project, where students can gain firsthand experience at the intersection of research, technology, and global collaboration.


Research Topics

Social Network Analysis, Fake News, and Misinformation Research

This research area focuses on the structural and behavioral analysis of social networks, with particular emphasis on fake news detection, misinformation diffusion, and the impact of social media algorithms. By applying network analysis, data mining, and machine learning techniques, the research examines how information spreads, how influence and opinion polarization emerge, and how algorithmic recommendation systems shape public discourse. The goal is to develop analytical models and computational tools that can identify misinformation patterns, evaluate platform dynamics, and contribute to more transparent, trustworthy, and resilient digital information ecosystems.

Human–Bot Interface and Interaction Studies

This research theme investigates the interaction between humans and intelligent agents, including social bots, chatbots, and AI-driven systems. The focus lies on understanding how users perceive, trust, and engage with automated entities across digital platforms. By combining perspectives from artificial intelligence, human–computer interaction, and social psychology, the research explores issues such as bot transparency, ethical design, behavioral influence, and collaborative decision-making between humans and AI. The findings aim to inform the design of more responsible, effective, and human-centered AI interfaces.

AI Applications in Industry, Business, and Politics

This research direction examines the practical and strategic applications of artificial intelligence across industry, business, and political environments. Topics include AI-driven decision support, predictive analytics, knowledge management, digital transformation, and policy analysis. The research also addresses the societal and governance implications of AI adoption, such as algorithmic bias, regulatory frameworks, and ethical considerations in political communication and public administration. By bridging academic research and real-world practice, this area seeks to enhance organizational intelligence, innovation capability, and evidence-based policymaking in an AI-enabled society.


Honor

I have received a range of international recognitions spanning film, research, and teaching, reflecting the interdisciplinary nature of my work. My short film Forged Memories has been acknowledged by multiple international film festivals, including a nomination at the YORA 2025 International Film Awards in Kenya, finalist selection at the Antares Film Festival in Russia, and semi-finalist recognition at the Directors Cut International Film Festival in Canada. The film was also officially selected by the Festival Internacional de Cinema de Carazinho in Brazil and the Lift-Off First-Time Filmmaker Sessions (Vol. 8), highlighting its global resonance and artistic impact.

In academia, I have been honored with several Best Paper Awards at major international conferences. These include recognition at MISNC 2022 in Japan for research on decentralized autonomous organizations (DAO) in social networks, CIST 2015 in Canada for work on spiral of silence detection using social network analysis and opinion mining, and ACIIDS 2011 in Korea for research on anonymizing shortest paths in social network graphs. In addition, I have been recognized for excellence in education and research, receiving the Distinguished Teacher, Distinguished Tutor, and Distinguished Young Researcher awards from the National University of Kaohsiung, underscoring my commitment to teaching, mentorship, and scholarly contribution.


Educational Background
  • Ph.D. in Computer Science, The University of York, United Kingdom
  • M.S. in Information Management, National Changhua University of Education, Taiwan
  • B.B.A. in Business Administration, Chinese Culture University, Taiwan

Job Description

This internship offers hands-on experience in bridging human–computer interaction (HCI) theory with real-world web technologies. You will have the opportunity to contribute to experimental design, implement data collection tools within web environments, and assist in interpreting findings that may inform future adaptive user interfaces and personalized web experiences. This position is ideal for students who are passionate about research and eager to apply computational thinking to human behavior in the digital space.

Preferred Intern Educational Level

Ph.D. or Master Degree Research Students

Skill sets or Qualities

  • Currently enrolled as a research student in Computer Science, Information Science, Cognitive Science, Human–Computer Interaction, or a related field.
  • Strong interest in research, particularly in HCI, user behavior analytics, or web-based interaction studies.
  • Basic programming skills, especially in web development languages (e.g., JavaScript, HTML/CSS, Python) and familiarity with data collection or interaction logging.
  • Knowledge of fundamental HCI concepts and an eagerness to learn techniques for analyzing user interaction patterns.
  • Good communication skills, self-motivation, and the ability to work collaboratively in a research team.