Invited Speaker_ICIET 2027

Prof. Xiaoyin Wang,

Department of Computer Science, the University of Texas at San Antonio, USA

Xiaoyin Wang is a professor of computer science from the University of Texas at San Antonio. He has been working in various areas of software engineering, especially in software testing and software engineering education. He is also one of the pioneer researchers in the area of VR/AR software engineering. He published more than 90 papers in software engineering, security, and AI venues. He received the NSF Career Award in 2019, an ACM SIGSoft Research Highlight paper in 2020, and two ACM SIGSoft Distinguished paper awards in 2025 and 2026. He served as a proceedings chair of ICSE 2019 and organization chairs of the VARSE (VR and AR Software Engineering) workshop in 2022, 2024, and 2025.

Speech Title: Automated Testing of Augmented Reality Software with Playback Videos and Synthetic Environments

Speech Abstract: Augmented Reality (AR) is an emerging technique that blends virtual objects into real-world scenes to provide revolutionary user experience in tasks such as education, navigation, gaming, etc. However, the testing of AR applications can be very challenging because part of their context and input (i.e., the real-world scenes) cannot be easily controlled, and test  oracles (the expected software behaviour) are difficult to automate. In the past several years, we have done research to address these challenges in Automated AR testing. In particular, we studied the feasibility of using simulated VR scenes and playback videos to test AR apps, designed novel techniques to automate the test oracle, and developed frameworks to guide AR interactions. In this presentation, I will introduce our findings from these research projects and discuss potential future research directions.

Asst. Prof. Osman SELVİ,

Department of Computer Engineering, Faculty of Engineering, Fenerbahçe University, Turkey

Dr. Osman Selvi is an Assistant Professor in the Department of Computer Engineering at Fenerbahçe University, Istanbul, Türkiye. He holds two bachelor’s degrees — in Computer Systems Education from Gazi University and in Computer Engineering from Kocaeli University — and a Ph.D. in Computer Engineering from Istanbul Aydın University. His primary research focuses on Blockchain Technologies, particularly on positioning blockchain as a complementary and supportive layer to centralized systems. His work explores the use of blockchain for auditing and verification mechanisms, aiming to enhance transparency, reliability, and interoperability in digital ecosystems. He has coordinated the formation of a multidisciplinary consortium and submitted a COST Action proposal titled “Blockchain-Based Academic Credential Verification for Enhanced Trust and Transparency (BACVET)” (Proposal Reference: OC-2026-1-29812), which is currently under evaluation by the European Union. The initiative seeks to address the international challenge of academic credential verification through secure, GDPR-compliant blockchain frameworks. Prior to his current academic role, he served as a Technical Teacher at the Turkish Ministry of National Education (2007–2022) and as a lecturer at Marmara University and Fenerbahçe University. He has been a full-time faculty member at Fenerbahçe University since 2022.

Speech Title: Auditing Blockchain-Based Academic Credential Verification Systems Against Global Trust Requirements

Speech Abstract: Growing international mobility among higher education institutions makes verifying academic qualifications a key challenge. In 2024 alone, over 4.6 million international students in OECD countries, 1.8 million new international students admitted in Europe, and over 8 million students globally. This massive mobility strains existing systems. Moreover, verification processes remain fragmented and vulnerable to fraud; even as institutions adopt digital solutions to address these challenges and streamline verification, questions remain about their reliability, interoperability, and governance. Blockchain has attracted attention as a means of making academic credentials easier to verify and more resistant to tampering. Projects such as Blockcerts and the European Blockchain Services Infrastructure (EBSI) illustrate different approaches to applying distributed technologies to digital credentials. However, an important question remains: how decentralized are these systems in practice? Distributing credential records does not necessarily distribute control over the institutions, services, and decisions involved in their verification. This talk examines this question by comparing existing blockchain-based academic credential verification systems. The analysis focuses on three aspects: their technical architecture, the roles of the actors involved, and the governance arrangements that shape how they operate. Four questions guide the comparison to reveal dependencies that may not be apparent: How can decentralization be measured? How does it change as a system evolves? How is the system’s legitimacy established within participating institutions? What risks arise, and who does each affect? These questions have already been discussed in the context of existing blockchain architectures. Comparing these developments with academic credential systems provides a broader perspective on the relationship between decentralization and effective control. The talk uses these observations to identify requirements for an academic credential verification model that can operate across institutional and national boundaries. Building on these conclusions, the talk proposes design requirements for a globally interoperable academic credential verification model. This approach integrates cryptographic verifiability and distributed trust with accountable institutional governance, privacy by design, interoperable standards, and clearly defined stakeholder responsibilities. Rather than conceptualizing decentralization as a binary attribute, the model treats it as a measurable, multidimensional design variable shaped by legal, institutional, and operational constraints. Finally, the talk connects these research directions and emphasizes the need for international collaboration on trustworthy digital credentials and the governance of decentralized educational infrastructures.

Assoc. Prof. Rajan Kadel,

National Academy of Professional Studies, Australia

Associate Professor Rajan Kadel is an engineering education researcher and Head of the School of IT, with over 20 years of experience in higher education. His research focuses on academic integrity, assessment redesign, and the transformative impact of Generative AI on teaching and learning. His recent work explores how assessment can be redesigned to foster higher-order thinking, authentic learning and meaningful evidence of student competence in an AI-enabled educational environment. He has published over 40 peer-reviewed papers and is actively involved in curriculum innovation, professional accreditation and academic leadership.

Speech Title: Redesigning Assessment in the Era of GenAI: From Academic Integrity to Authentic Evidence of Learning

Speech Abstract: The rapid emergence of Generative Artificial Intelligence (GenAI) is challenging fundamental assumptions about assessment in higher education. While the initial response has focused largely on academic integrity, AI detection and preventing inappropriate use of GenAI, a more fundamental question remains: what should assessment measure when AI can increasingly generate sophisticated academic and professional outputs? This invited talk explores the evolution of assessment in the era of GenAI, drawing on research into academic integrity, assessment design, project-based learning, higher-order thinking and technology-enhanced education. It argues that the emergence of GenAI should not simply lead educators to develop assessments that are “AI-proof”. Instead, it provides an opportunity to reconsider the purpose of assessment and the types of evidence required to demonstrate meaningful student learning and competence. The talk presents a shift from product-centred assessment to authentic, process-oriented and evidence-rich assessment. Rather than focusing solely on the final submission, assessment can capture how students analyse problems, make decisions, develop solutions, use feedback, reflect on their learning and exercise judgement. Within this approach, GenAI is considered not only as a challenge but also as a potential partner in learning and assessment, provided that its use is transparent, critical and appropriately governed. The talk will highlight emerging principles for assessment redesign, including authentic and contextualised tasks, iterative assessment processes, multimodal evidence, reflection, explicit development of higher-order thinking, and meaningful human oversight of AI-supported work. It will also consider how educators can design assessment that remains valid and credible while preparing students for professional environments in which AI will be increasingly embedded. Ultimately, the talk argues for a transition from AI-resistant assessment to AI-aware, human-centred and future-oriented assessment, where the goal is not to exclude AI, but to ensure that human learning, judgement, creativity and competence remain visible.

Prof. Augustina Asih Rumanti,

Telkom University, Indonesia

Prof. Dr. Augustina Asih Rumanti is a Professor at Telkom University, Indonesia, with an academic background in Industrial Engineering and expertise in System Modelling, Innovation Systems, and Knowledge Management . She currently serves as Head of the Enterprise System and Solution Research Laboratory at Telkom University, providing academic and research leadership in integrated system development, organisational innovation, and technology-enabled transformation. Her academic career includes appointments at Atma Jaya University and Telkom University, where she served as an Associate Professor before being appointed Professor in 2023. She earned her Bachelor's degree in Industrial Engineering from Atma Jaya University Yogyakarta and her Master's degree in Industrial Engineering from Bandung Institute of Technology (ITB). She subsequently completed her doctoral studies in Industrial Engineering at ITB during 2016–2020. As part of her doctoral research, she engaged in academic discussions with researchers at the National University of Singapore (NUS), broadening the scholarly perspectives underpinning her dissertation, entitled Cleaner Production through Open Innovation in Small and Medium Industries. This research laid an important foundation for her subsequent work on knowledge integration, open innovation, organisational capabilities, and sustainable industrial development. Her research interests encompass Knowledge Management, Open Innovation, System Modelling, Cleaner Production, Green Innovation, and the Circular Economy. Her scholarly approach emphasises the interconnections among people, knowledge, organisational capabilities, and technological advancement in addressing complex industrial and societal challenges. Drawing on multidisciplinary and systems-based perspectives, she explores how knowledge and innovation can be translated into organisational capabilities, collaborative solutions, and sustainable socio-technical systems. 2027 the 15th International Conference on Information and Education Technology (ICIET 2027) April 9-12, 2027 | Osaka, Japan Website: https://www.iciet.org/; E-mail: icietconf@vip.163.com Within the field of Information and Education Technology, her expertise offers a distinctive perspective on Knowledge-Driven Digital Transformation, Collaborative Learning, and Human-Centred Innovation. Her research highlights the strategic role of digital technologies in facilitating knowledge creation, documentation, sharing, and transfer. It also emphasises human capabilities, accessibility, and active participation as essential foundations for developing inclusive and sustainable learning ecosystems. Prof. Augustina has established a strong international scholarly publication record, with contributions appearing in reputable Scopus-indexed journals, including Q1 journals such as IEEE Transactions on Engineering Management, IEEE Access, The TQM Journal, Sustainability, International Journal of Precision Engineering and Manufacturing–Green Technology, and Resources, Conservation and Recycling. She regularly disseminates her research findings through international conferences organised by IEEE, Springer, and ACM in various countries. Her contributions to the international scholarly community also extend to serving as a reviewer for reputable academic journals published by IEEE, Elsevier, MDPI, and other international publishers. Beyond her scholarly contributions, she actively engages in research and community development initiatives that translate academic knowledge and technological innovation into practical applications. These initiatives include digital literacy programmes, digital knowledge management systems, electronic catalogues for preserving the traditional weaving heritage of East Sumba, and digital platforms designed to strengthen the capacities of local communities, creative industries, and micro, small, and medium-sized enterprises (MSMEs). Through her academic leadership and multidisciplinary research, Prof. Augustina advances the integration of Industrial Engineering, knowledge management, innovation, and digital transformation. Her broader scholarly vision centres on the development of human-centred, knowledge-driven, and sustainable socio-technical ecosystems, positioning technology not merely as a technical instrument, but as a strategic enabler of learning, collaboration, innovation, cultural preservation, and sustainable societal development.

Speech Title: Intergenerational Digital Co-Creation for Age-Inclusive Knowledge Management and Preservation of Traditional Textile Crafts: A Knowledge Management Cycle Approach

Speech Abstract: Traditional textile craft enterprises face increasing challenges in preserving experiential knowledge and transferring cultural practices across generations. This study examines how intergenerational digital co-creation can support age-inclusive knowledge management and preservation, using ikat weaving enterprises in East Sumba, Indonesia, as a case study. A qualitative case study adopts an adapted seven-stage Knowledge Management Cycle comprising creation, capture and structuring, validation and refinement, storage, distribution, application, and evaluation. Data will be collected through semi-structured interviews with senior and younger artisans, observations of weaving and learning activities, document analysis, and collaborative workshops. The research will identify critical craft knowledge, documentation gaps, and barriers to digital participation across generations. Subsequently, senior and younger artisans will collaboratively develop digital knowledge resources documenting weaving techniques, motif meanings, material selection, and artisan narratives. Senior artisans will retain an active role in validating technical and cultural accuracy, while younger participants will facilitate digital documentation and content development through collaborative learning. Particular attention will be given to ensuring age-inclusive participation, accessible digital resources, and shared decision-making throughout the co-creation process. The resulting resources will be organized into accessible digital archives and adapted into learning materials and product information using existing digital tools. Evaluation will examine knowledge documentation completeness, cultural accuracy, information accessibility and retrieval, intergenerational learning usefulness, and the extent to which digital content communicates product uniqueness and cultural significance. The study is expected to develop a contextual framework for age-inclusive digital craft knowledge management, demonstrating how intergenerational participation connects knowledge creation, preservation, learning, and practical application. Its contribution lies in extending the application of the Knowledge Management Cycle through an age-inclusive and participatory digital co-creation approach. The findings are expected to provide insights that may inform the application of this framework to other traditional textile craft enterprises. The study will also propose governance arrangements, access responsibilities, and updating procedures to support the continued use of digital knowledge resources.