invited speakers / 特邀报告专家

 

Prof. Henghua Su, Xi’an Jiaotong-Liverpool University, China

Biography: Henghua Su is the Head of the Modern Languages Centre and a Senior Associate Professor at Xi’an Jiaotong-Liverpool University. She is a consultant for the American Council on Teaching Foreign Languages (ACTFL). Dr. Su received her Ph.D. in Chinese Linguistics from University of Wisconsin-Madison. She has published widely in Linguistics, Second Language Acquisition and International Chinese Language Education. She has been teaching and training Chinese instructors for more than twenty years. Previously she taught and coordinated the Chinese language programme at Indiana University Bloomington and the University of Wisconsin-Madison summer study abroad program at Nankai University and Tianjin Normal University. She also taught at Utah State University and worked as a certified translator and interpreter. Many of her postgraduate students have become faculty members in top universities in North America.

 

Prof. Rustam Shadiev, Zhejiang University, China

Biography: Dr. Rustam Shadiev is a Professor at the College of Education, Zhejiang University, China. He received his Ph.D. in Network Learning Technology from  Taiwan Central University, China. Dr. Shadiev is a Fellow of the British Computer Society (BCS), a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a member of the Association for Computing Machinery (ACM). In 2019, he was honored with the title of Distinguished Professor of Jiangsu Province, China. His research focuses on advanced educational technologies and their applications in language learning, intercultural communication, AI-assisted education, and immersive learning environments such as Virtual Reality based on 360-degree video technologies. Dr. Shadiev has published extensively in top-tier SSCI journals, including Computers & Education, British Journal of Educational Technology, and Journal of Computer Assisted Learning. He has been recognized among the Most Cited Chinese Researchers in Education (2020–2024) and listed in the Stanford/Elsevier Top 2% Scientist Ranking (2023-2025). He serves on editorial boards of several international journals and frequently delivers keynote speeches at major international conferences. His recent projects explore AI-powered multimodal learning, cross-cultural competence development, and human–AI collaboration in education.

 

Prof. Xiwen Zhang, Beijing Language and Culture University, China

Biography: XiWen Zhang is currently a full professor of Digital Media Department, School of Information Science, Beijing Language and Culture University.
Prof. Zhang worked as an associated professor from 2002 to 2007 at the Human-computer interaction Laboratory, Institute of Software, Chinese Academy of Sciences. From 2005 to 2006 he was a Post doctor advised by Prof. Michael R. Lyu in the Department of Computer Science and Engineering, the Chinese University of Hong Kong. From 2000 to 2002 he was a Post doctor advised by Prof. ShiJie Cai in the Computer Science and Technology department, Nanjing University.
Prof. Zhang's research interests include pattern recognition, computer vision, and human-computer interaction, as well as their applications in digital image, video, and ink. Prof. Zhang has published over 60 refereed journal and conference papers. His SCI papers are published in Pattern Recognition, IEEE Transactions on Systems Man and Cybernetics B, Computer-Aided Design. He has published more than twenty EI papers.
Prof. Zhang received his B.E. in Chemical equipment and machinery from Fushun Petroleum Institute (became Liaoning Shihua University since 2002) in 1995, and his Ph.D. advised by Prof. ZongYing Ou in Mechanical manufacturing and automation from Dalian University of Technology in 2000.

 

Prof. Anand Nayyar, Duy Tan University, Vietnam

Biography: Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 280+ Professional certifications from CISCO, Microsoft, CompTIA, Amazon, Alibaba Cloud, Oracle, Google, Salesforce, Tableau, FinOps, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 200+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 80+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 60+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: (Google Scholar): 21600+, H-Index: 74 and I-Index: 300; (Scopus): 12000+; H-index: 58. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). He has authored/co-authored cum Edited 70+ Books of Computer Science. Associated with more than 600+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has completed 1 Grassroot and 1 ASEAN Project. He has 18 Australian Patents, 16 German Patents, 4 Japanese Patents, 44 Indian Design cum Utility Patents, 13 UK Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT, Healthcare, Drones, Robotics and Image Processing. Awarded 55 Awards for Teaching and Research—Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022, 2022-2023, 2023-2024, Distinguished Scientist Award by National University of Singapore, Obada Prize 2023, Lifetime Achievement Award 2023, 2024; Asian Admirable Achievers 2024; Distinguished Academic Leader 2024, Lifetime Achievement Award 2024 and many more.
He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022, 2023, 2024, 2025), Ad Index (Rank No:1 Duy Tan University, Rank No:2 Computer Science in Viet Nam) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 56; World Ranking: 3694).
He is acting as Associate Editor for Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Tech Science Press- IASC, Cogent Engineering, Human Centric Computing and Information Sciences (HCIS), IET-Quantum Communications, IET Networks, IEEE Transactions on Artificial Intelligence (IEEE TAI), Indonesian Journal of Electrical Engineering and Computer Science, IJFC, IJISP, IJDST, IJCINI, IJGC, IJSIR, IJBDCN, IJNR, IJSI, IJIES. He is acting as Managing Editor of IGI-Global Journal, USA titled “International Journal of Knowledge and Systems Science (IJKSS)”. He has reviewed more than 5500+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.

 

Prof. Chuan-Ming Liu, Taipei University of Technology, Taiwan, China

Biography: Dr. Chuan-Ming Liu is a professor in the Department of Computer Science and Information Engineering (CSIE), National Taipei University of Technology (Taipei Tech), TAIWAN, where he was the Department Chair from 2013-2017. He received his Ph.D. in Computer Science from Purdue University in 2002 and joined the CSIE Department in Taipei Tech in the spring of 2003. In 2010 and 2011, he has held visiting appointments with Auburn University, Auburn, AL, USA, and the Beijing Institute of Technology, Beijing, China. He has services in many journals, conferences and societies as well as published more than 150 papers in many prestigious journals and international conferences. Dr. Liu was also the co-recipients of the best/excellent paper awards in many conferences, including ICUFN 2015, ICS 2016, MC 2017, WOCC 2018, MC 2019, WOCC 2021, TCSE 2022, TANET 2023, and MC 2024. His current research interests include data science, big data management, uncertain data management, spatial data processing, AIoT, data streams, ad-hoc and sensor networks, location-based services, algorithm design and analysis.

 

Assoc. Prof. Thomas Selig, Xi'an Jiaotong-Liverpool University, China

Biography: Dr. Thomas Selig is an Associate Professor in the Department of Computing, School of Advanced Technology, at Xi'an Jiaotong-Liverpool University (XJTLU). He completed his PhD in Computer Science from the University of Bordeaux, France, in 2014, and followed this with postdoctoral research positions at the University of Strathclyde and Iceland University, before starting work at XJTLU in 2019. Thomas is keenly invested in enhancing students’ learning experience through the use of technology, in particular through developing and deploying AI-assisted tools in Higher Education courses and programmes. He is a Fellow of the UK Advance Higher Education Academy, and currently serves as School Learning and Teaching Committee Chair, and as Programme Director of XJTLU's BEng (Hons) Computer Science and Technology programme.

 

Assoc. Prof. Sri Nurhayati, IKIP Siliwangi, Indonesia

Biography: Dr. Sri Nurhayati received her Ph.D in Community Education from the Indonesia University of Education, Indonesia. Dr. Sri Nurhayati is currently an Associate Professor in Community Education at IKIP Siliwangi, Indonesia. Dr. Sri Nurhayati is a researcher and lecturer at IKIP Siliwangi, Indonesia. She holds a Web of Science ResearcherID (MGT-1919-2025) and an ORCID (0000-0002-2273-9143). Her research spans digital literacy, artificial intelligence in education, teacher resilience, and technology-enhanced language learning. Over the past five years, she has published more than twenty peer-reviewed papers in international journals, including International Journal of Learning, Teaching and Educational Research, Educational Process: International Journal, and Edelweiss Applied Science and Technology.
Dr. Nurhayati’s scholarly contributions include works on AI-driven learning, educators’ adaptability in digital education, and pedagogical innovation in the era of Society 5.0. She is also an active peer reviewer for journals such as Cogent Education, NJAS: Impact in Agricultural and Life Sciences, and International Journal of Information and Education Technology. Her current academic focus involves integrating cognitive and digital literacy to foster inclusive and sustainable education in Southeast Asia.

 

Assoc. Prof. Rui Zhang, Tongji University, China

Speech Title: Design intelligent course using Generative Artificial intelligence

Abstract: As intelligent agents, smart courses sense learners’ behaviors and deliver personalized content blended with rich learning experiences. Building on knowledge-tracing models, this study employs generative AI to design individualized preparatory materials that accommodate students of differing prior knowledge and inquiry-based activities in virtual environment.
For learners with weaker foundations, the pre-class resources foreground core concepts and illustrate them with everyday scenarios, sparking interest while guiding deeper understanding.For more advanced students, the focus shifts to challenging topics, introducing cutting-edge applications to broaden perspectives and foster innovation. The preparatory materials also include worked examples to consolidate learning andself-check quizzes to assess the effectiveness of the preview. The Inquiry tasks produced by LLM embedded in the preparation phase allow students to construct personal learning experiences, thereby deepening subsequent classroom discussions.

Biography: Zhang Rui is Associate Professor at the College of Physical Science and Engineering, Tongji University. He also serves as the discipline leader for Tongji’s Educational Artificial Intelligence program and for the Physics Education , and is a member of the Teaching Reform & Research Sub-committee of the National University Physics Teaching Steering Committee. He has published more than 70 research papers on physics education. His research interests focus on educational artificial intelligence and physics-education research.

 

Assoc. Jiawen Han, Xi’an Jiaotong-Liverpool University, China

Biography: Dr. Jiawen Han is an Associate Professor in the Department of Architecture at the Design School, Xi’an Jiaotong-Liverpool University, Suzhou. She earned her PhD in architecture from the University of New South Wales in Sydney and authored the book China’s Architecture in a Globalizing World: Between Socialism and the Market. She has published monographs, edited volumes, and journal articles that situate architecture within a transnational cultural context and a transdisciplinary framework. Her recently co-authored book, Chinese Cities as Pedagogy: Interdisciplinary Teaching Practice, introduces innovative teaching practices and methods with a critical focus on understanding and interpreting Chinese cities as a rich context. She has actively engaged in humanistic research through the integration of AI and digital tools, foregrounding hybrid approaches to scholarship and pedagogy.

 

 

Assoc. Prof. Hai Min DAI, Shanghai Jiao Tong University , China

Biography: Dr. Rita Hai Min Dai is Associate Professor of Education at the Research Centre for Future Education, Shanghai Jiao Tong University. Her research examines technology adoption, user perceptions of technology use, and human-AI interaction in education. She has published in leading journals including Computers & Education, Computers in Human Behavior, Interactive Learning Environments, Journal of Computer Assisted Learning, British Journal of Educational Technology, and Higher Education. With a Scopus FWCI of 4.2, her work is cited over four times the global average. She has led or participated in 13 funded projects across China, the UK, Australia, and Macao SAR. Dr. Dai is Associate Editor for the Australasian Journal of Educational Technology and the Journal of University Teaching and Learning Practice, Guest Editor for the special issue on generative AI in the British Journal of Educational Technology, and Academic Advisor for Education University of Hongkong’s CRAC project on AI competency in higher education.

 

Assoc. Prof. Ts. Dr. Khairul Azhar Bin Hj Mat Daud, Universiti Malaysia Kelantan, Malaysia

Biography: Assoc. Prof. Ts. Dr. Khairul Azhar Bin Hj Mat Daud is the Deputy Dean (Academic) at the Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan (UMK), and Vice Chair of the Association of Creative Technology Innovator Malaysia (ACTIM). He is the Editor-in-Chief of both the International Journal of Creative Future and Heritage (TENIAT) and Jurnal TENIAT UMK, and co-founder of the Research Ideation Canvas (RIC@). With a Ph.D. in Educational Technology from Universiti Sains Malaysia (USM), and degrees in Mechanical Engineering and Education, Dr. Khairul Azhar bridges education and technology through research and innovation. As head of the Creative Technology Research Group (RG CREATE), he leads efforts to establish it as a Centre of Excellence, focusing on augmented reality (AR) applications in technical education and workplace safety. His work has earned multiple awards, including Gold and Silver recognitions at UMK, ITEX, and PECIPTA, and a scholarship at Trinity College Dublin for Innovation and Entrepreneurship. A visionary academic and mentor, he champions collaborative advancement across academia, industry, and community.

 

Assoc. Prof. Jian Liao, Southwest University, China

Biography: Jian Liao, an associate professor in the College of Educational Technology, Faculty of Education, Southwest University. He is a master's advisor, holds a Ph.D. in Learning, Design, and Technology from Pennsylvania State University, and a master's degree in Educational Technology from Beijing Normal University, where he studied under Professor Ronghuai Huang. His research focuses on the application of artificial intelligence in education, intelligent analysis of educational audio and video materials, and robot-assisted education. To date, he has published over 20 journal papers, including three as the first author in JCR Q1 journals of the Chinese Academy of Sciences, more than 10 papers in CSSCI core journals, and over 30 international conference papers. He has led two general projects of the National Natural Science Foundation of China and participated in several national and ministerial-level projects, including a sub-project of the National Key R&D Program of the Ministry of Science and Technology. He also serves as a reviewer for international journals such as Computers & Education.

 

Assoc. Prof. XI Lin, East Carolina University, USA

Speech Title: Exploring College Students' Emotional Engagement with Human and AI Peer Reviewers

Abstract: Through a mixed-methods approach, this study examines college students’ emotional engagement with human and AI peer reviewers. Ninety reflections regarding their perceptions toward peer reviewers from 30 college students in Fall 2024 (with AI peer reviewers) and Spring 2025 (with human peer reviewers) were collected. Results show that AI peer reviews generate higher sentiment scores and stable positivity. Yet, students hold predominantly neutral emotions. Toward this type of review. In contrast, human peer reviews generate lower sentiment scores but result in more joy, increasing sadness, and negative valence. Longitudinal analysis shows divergent patterns: AI peer reviews shift focus from control appraisals to value appraisals, while human peer reviews show an inverse pattern with control appraisals increases as value appraisal decreases. These findings indicate that AI peer reviews may provide transactional reliability while human peer reviews provide relational connection. This study further advocates for hybrid designs using AI consistency to scaffold rather than replace human interaction, thereby maintaining both reliability and emotional engagement during peer review process.

Biography: Dr. Xi Lin holds a B.M. degree in Public Utilities Management from North China Electric Power University (Beijing), an M.A. in Communications, and a Ph.D. in Adult Education from Auburn University, USA. She is currently an Associate Professor in the Department of Interdisciplinary Professions at East Carolina University. Dr. Lin is dedicated to advancing the use of artificial intelligence (AI) in education. Her research focuses on 1) implementing AI in teaching and learning to enhance student learning, 2) examining students’ emotional engagement in human–AI interaction, and 3) exploring ethical issues related to AI in education and beyond. She has published extensively in peer-reviewed journals and has edited multiple books and journal special issues, contributing valuable insights into best practices for online instruction and the use of multimedia in education.

 

Assoc. Prof. Priti Srinivas Sajja, Sardar Patel University, India

Biography: Dr. Priti Srinivas Sajja (b. 1970) is a Professor and Head of the PG Department of Computer Science at Sardar Patel University. She earned her M.S. in 1993 and Ph.D. in 2000, both in Computer Science from the same university. She specializes in Artificial Intelligence, Machine Learning, and Systems Analysis & Design, and has authored several international books with a total of 243 publications. She served as Principal Investigator on a major UGC-funded research project and on an Indo-Russian DST (Department of Science & Technology) project. She has mentored numerous PhD scholars, too. She has rendered her expertise as a resource person for AICTE and NAAC, contributing to quality and accreditation processes in India. She also held a key state-government role as Director of the Gujarat University Granth Nirman Board, a committee formed by the Governor on the recommendation of the Chief Minister of the state in India. She is a recipient of multiple awards — notably the Sardar Patel Research Award (five time) and a Lifetime Achievement Award from the National Foundation for Entrepreneurship Development.

 

Assoc. Prof. Tarasova Ksenia, National Research University Higher School of Economics, Russia

Biography: Prof. Ksenia Tarasova received her PhD in Education specializing in quality of education and its evaluation in 2009. Before becoming the Director of the Centre for Psychometrics and Measurement in Education at HSE University, she contributed to large-scale national and international assessment projects, including the READ program (Russia Education Aid for Development) and several World Bank initiatives. She has also served as an independent consultant for the Inter-American Development Bank and the American Center for Education and Research.

Prof. Tarasova specializes in evidence-centered assessment design (ECD) and the development of virtual performance-based assessments, including digital, interactive, and scenario-based assessment tools. Her research focuses on log-process data analytics and the application of artificial intelligence in educational measurement, including automated task generation, AI-supported scoring of open-ended responses, training large language models (LLMs), and measuring complex constructs using AI-driven methodologies. She was a key developer of Russia’s first patented ECD-based interactive assessment instrument within the ICL assessment project. Prof. Tarasova currently leads a Russian Science Foundation (RSF) grant focused on developing an AI literacy assessment framework and methodology. Her research is further supported by international collaborations in AI and psychometrics with leading research institutions in China and worldwide.

 

Assoc. Prof. Martin Lukas, Czech University of Life Sciences Prague, Czech Republic

Biography: Martin Lukáš is an Associate Professor at the Department of Information Technologies, Czech University of Life Sciences Prague. His research focuses on digital transformation, artificial intelligence, enterprise architecture, eGovernment, information systems, IT governance. He has authored one monograph, three academic textbooks, and numerous peer-reviewed articles on ICT management and digital maturity. Dr. Lukáš actively contributes to higher education by teaching courses in information systems, software engineering, and ICT management, and by developing learning materials for ICT curricula. He has supervised numerous bachelor’s and master’s theses in ICT and digital transformation and serves as a strategic consultant for digital initiatives. In addition to his academic work, Dr. Lukáš brings extensive professional experience in program and project management, service management, and enterprise architecture, supported by certifications such as PRINCE2 Practitioner, MSP, ITIL, and ArchiMate. He has successfully led cross-cultural and geographically distributed teams, facilitated stakeholder meetings to align strategic objectives with operational improvements, and applied frameworks such as TOGAF and ArchiMate for AS-IS vs. TO-BE analysis. His ability to integrate practical expertise with academic research strengthens his contributions to both the scientific community and industry practice. Dr. Lukáš serves on editorial review boards, acts as a blind reviewer for conference proceedings, and participates in scientific committees of international conferences.
ORCID: https://orcid.org/0000-0003-0356-5480
ResearchGate: https://www.researchgate.net/profile/Martin-Lukas-5