Dr. Yuhong Liu research interests include trustworthy computing and cyber security of emerging applications, such as Internet-of-things, blockchain and online social media. She has published over 60 papers on prestigious journals and peer reviewed conferences. She is currently serving as the Chair of IEEE Computer Society STC Executive Committee Board, the Vice Chair (Special Technical Communities) of the IEEE Computer Society Member & Geographic Activities Board, and a member of the IEEE Computer Society Technical Meeting Request Committee. She has also served as a member of the Multimedia Security and Forensics (MSF) TC for Asia-Pacific Signal and Information Processing Association (APSIPA) since 2019.

Yuhong Liu’s Interview – Security Research

An interview with Yuhong Liu – November 2022

Topic: Security Research

Interview Article

Keywords: Cybersecurity • Information Technology • Networks

Jerry Medeiros is a game development and AI expert with more than 10 years of experience using his skills to create games, XR training, and simulations. As a Unity Certified Instructor, he is passionate about teaching the latest emerging technologies. He has a bachelor’s degree in Game Development, a certificate in Interaction Design, a Master’s degree in Computer Science, and an MBA in Leadership and Innovation.

Jerry Medeiros’ Interview – Teaching and Leading in the Gaming Industry: Past, Present, and Future

An interview with Jerry Medeiros – January 2023

Topic: Teaching and Leading in the Gaming Industry: Past, Present, and Future

Interview Article

Keywords: XR Training • Education in Gaming Industry • Game Development

Elvira Popescu is a full professor at the Computers and Information Technology Department, University of Craiova, Romania. She received the Ph.D. degree in information and systems technologies from the University of Technology of Compiègne, France, and the University of Craiova, Romania, in 2009. Her research interests include technology-enhanced learning, adaptation and personalization in Web-based systems, learner modeling, computer-supported collaborative learning, learning analytics, and intelligent and distributed computing. Dr. Popescu has authored and co-authored over 100 publications, including two books, journal articles, book chapters, and conference papers, which have received over 1400 citations. In addition, she has co-edited six journal special issues, as well as 15 international conference proceedings published by Springer and one published by IEEE. She has also given several invited and panel talks at various international conferences. She has participated in over 15 national and international research projects, three of which as a principal investigator (grant director). Prof. Popescu also serves as the Vice Chair for the IEEE Women in Engineering Romania Section Affinity Group and is an Executive Board Member for the IEEE Technical Committee on Learning Technology and the International Association of Smart Learning Environments. She received several scholarships and awards, including five best paper distinctions (IEEE EUROCON 2007, IEEE ICALT 2013, ICWL 2015, ICWL 2018, IEETeL 2019). She is actively involved in the academic community by serving as associate editor for two journals (IEEE Transactions on Learning Technologies, Smart Learning Environments), member of five other journal editorial boards, organizing a series of international workshops in the area of social and personal computing for e-learning (SPeL 2008–2020), serving as a conference chair, program committee chair, and track chair for 18 conferences.

Elvira Popescu’s Interview – Personalized Education

An interview with Elvira Popescu – March 2023

Topic: Personalized Education

Keywords: Personalized Education • Intelligent Learning Environment • Learning Style • Learning Analytics

Professor Stephen J.H. Yang graduated from the University of Illinois at Chicago with a Ph.D. in computer science. He is the Vice President for R&D and Chair Professor of Computer Science and Information Engineering at National Central University, Taiwan. Professor Yang was the first Director of the Department of Information and Technology Education, Ministry of Education, Taiwan. Professor Yang also convenes the Future Earth Taipei, Sustainable in the Digital Age WG, promoting digital technology to explore sustainable development.

Professor Yang is a top computer scientist and education scholar. Professor Yang ranks in the top 2% (actually is in the top 1.2%) of the world based on the “World’s Top 2% Scientists 2022” released by Stanford University. Professor Yang has published over 100 journal papers, of which more than 80 are SSCI and SCI journal papers. According to 2018 to 2022 Elsevier Scopus/SciVal, Professor Yang’s publications, 22.2% are in the top 1% high-cited, 55.6% are in the top 10% high-cited publications worldwide, with 4.16 FWCI. Professor Yang’s paper citations have exceeded 12,000 with a 50 h-index in Google Scholar.

Professor Yang won the Ministry of Science and Technology Outstanding Research Award twice in 2010 and 2017. His research areas include generative AI in learning analytics, LLMs in education, human-centered AI, and sustainable education. Research projects include ESG analytics, precision education, human-center AI, and the BookRoll Partnership with Kyoto University.

Professor Yang is currently counseling Applied Materials, Inc. in ESG analytics, investigating how to use NLP technology to analyze corporate ESG reports and developing more accurate ESG rating prediction algorithms through Fortune 500 corporate reports and media news training data. Help enterprises identify key ESG issues that need improvement, formulate improvement strategies, and improve ESG ratings. And further analyze company’s ESG opportunities and risk management and promptly provide semi-automatic response information through generative AI and LLMs.

Professor Yang and Kyoto University jointly established the BookRoll Partnership Taiwan (BRPT), whose members include more than 32 universities, 84 teachers, 383 courses, and 22,527 students. It is the largest international digital learning initiative in Taiwan and Japan.

Professor Yang’s recent research areas are “Precision education,” “Human-centered AI in education,” and “AI in sustainable education.” The special issue “Precision education – a new challenge for AI in education,” edited by Professor Yang and published in Educational Technology & Society in 2021, is the world’s first SSCI journal special issue that applies AI to precision education. The special issue “Human-centered AI in education: augment human intelligence with machine intelligence,” co-edited by Professor Yang and published in Educational Technology & Society in 2023, is the first international SSCI journal special issue to discuss human-centered AI in education. The special issue “AI in smart learning for sustainable education,” co-edited by Professor Yang, will be published in Smart Learning Environments Journal in 2023. It is also the first international journal special issue to discuss AI in sustainable education.

Stephen J. H. Yang’s Interview – Precision Education

An interview with Stephen J. H. Yang – March 2023

Topic: Precision Education

Keywords: Precision Education • Artificial Intelligence in Education • Natural Language Processing • Learning Analytics