Professor Frank Donnelly is a prominent academic at the University of Adelaide, specializing in healthcare workforce dynamics, medical education, and public health policy. His research emphasizes the critical role of nursing and midwifery in global health outcomes, including studies on workforce density, pandemic response effectiveness, and interprofessional practice. He has explored innovative methods in healthcare education, such as virtual reality training and constructivist grounded theory methodologies. Research Focus: Nursing workforce impact, telemedicine, healthcare system efficiency, and qualitative healthcare studies. Key Projects: Developed the Adelaide Score AI system for hospital efficiency, analyzed global nurse density effects on infant mortality, and investigated oncology nursing motivations. Methodologies: Specializes in scoping reviews, ecological studies, and mixed-methods approaches. His work bridges theoretical research with practical applications, such as curriculum design for interprofessional practice and policy recommendations for public health systems. Donnelly's contributions span nursing education, clinical protocols, and global health comparisons, with a focus on evidence-based strategies to improve healthcare accessibility and quality.
Dr. Mathieu Barthet is a Senior Lecturer in Digital Media at Queen Mary University of London (School of Electronic Engineering and Computer Science). He leads research in Music Information Retrieval, Affective Computing, and Extended Reality (XR), with a focus on AI-driven musical interfaces and human-computer interaction. His work spans music emotion recognition, smart instruments, and participatory music systems. Education: MSc in Electronics & Computer Science (Paris VI University/Ecole Polytechnique de Montréal) MSc in Acoustics (Aix-Marseille II University/Ecole Centrale Marseille) PhD in Acoustics, Signal Processing & Computer Science applied to Music (Aix-Marseille II University/CNRS-LMA) Research: Over 100 peer-reviewed publications in fields like audiovisual interfaces, music recommendation, and AI ethics Key projects include the Internet of Musical Things (IoMT), AudioCommons, and mood-driven interactive systems Develops tools for music production collaboration (e.g., Open Symphony, Playsound.space) Grants & Collaborations: Lead on EU Horizon 2020 grants (IoMT, AudioCommons) Co-director of the EPSRC Centre for Doctoral Training in AI & Music Industry partnerships with companies like Music Tribe and Innovate UK Labs & Teams: Member of the Centre for Multimodal AI Conducts research through the Digital Music Lab (DML) initiative
Giuseppe Loianno is an Associate Professor in the Electrical and Computer Engineering Department at New York University (NYU) , and Director of the Agile Robotics and Perception Lab (ARPL) . His research focuses on autonomous Micro Aerial Vehicles (MAVs), perception, and control for robotics in unstructured environments. Prior to NYU, he held roles at the University of Pennsylvania's GRASP Lab as a Lecturer and Research Scientist. Affiliations: NYU WIRELESS, Center for Advanced Technology in Telecommunications (CATT) Education: BSc/MSc (University of Naples 'Federico II'), PhD in Computer and Control Engineering (2014) His work emphasizes agile robotics autonomy , particularly enabling drones to navigate without external infrastructure like GPS. Key innovations include bioinspired propellers for collision resilience and vision-based navigation systems. He has published over 70 papers and received prestigious awards including the NSF CAREER Award (2022) and DARPA Young Faculty Award (2022). Loianno actively organizes robotics conferences: Co-chair of IEEE RAS Technical Committee on Aerial Robotics, Program Chair for IROS 2024, and founder of the International Symposium on Aerial Robotics (ISAR). His lab's projects span cooperative robotics, human-drone collaboration, and autonomous charging systems for perpetual missions. Recent articles explore UAV-based thermal geo-localization , human-in-the-loop navigation , and resilient control strategies for quadrotors. His research has been featured in major robotics journals and international media.
Richard Zhao is an Assistant Professor in the Department of Computer Science at the University of Calgary. He leads the Serious Games Research Group , focusing on developing immersive technologies (e.g., VR, eye-tracking) and AI algorithms to enhance training, learning, and education through serious games. His work emphasizes adaptive experiences and automated content generation for educational applications. Research Interests: Serious Games for Education Artificial Intelligence in Virtual Environments Immersive Technologies (VR/AR) Collaborative Systems Procedural Content Generation Recent Work Trends: Recent publications highlight advancements in AI-driven poetry generation, VR interaction techniques, and collaborative problem-solving models. His work often bridges computational methods with human-centric design, particularly in manufacturing simulations and educational VR systems. Labs/Teams: He oversees the Serious Games Research Group, hosting projects like the Immersive Virtual School (IVS) and GEARS: Gearing up for Education . These initiatives integrate AI and VR to address real-world training challenges in engineering and education. Teaching: Teaches graduate and undergraduate courses on Game AI, Game Development, and introductory computer science. Courses include CPSC 686 (Research in Game AI) and CPSC 586 (Game AI) .
Fredrik Breien is an Associate Professor at the University of Bergen, affiliated with SLATE (Centre for the Science of Learning & Technology). He leads educational programs at SLATE and oversees development of the Interdisciplinary Master in Artificial Intelligence and Learning Sciences, launching in 2026. His research focuses on collaborative design frameworks like eLuna, which empowers stakeholder participation in creating narrative-driven game-based learning tools. With 20+ years of industry experience, he has designed over 60 game-based learning systems for museums, education sectors, and public initiatives. Education background includes advanced qualifications in informatics and media studies. Research emphasizes narrative structures in serious games, specifically evaluating how non-linear narratives enhance engagement and learning outcomes. Key contributions include the eLNVM model for categorizing narratives in educational games and the mixed-reality visual language system in eLuna framework. Current work bridges academic research with practical applications, collaborating with science centers and educational institutions to develop immersive learning experiences. His interdisciplinary approach addresses challenges in stakeholder collaboration, situational awareness in teams, and curriculum integration through game-based methods.
Dr Ali Rashidi is a Research Fellow at Monash University's Future Building Initiative, a collaborative program between the Faculty of Engineering and Monash Art Design and Architecture. He coordinates Digital Project Management at the Building 4.0 Cooperative Research Centre (CRC) and serves as an adjunct lecturer in Construction Engineering and Management at Monash University Malaysia. His research focuses on integrating immersive technologies (VR/AR/MR), Serious Game applications, and digital twin systems into construction education and safety. He holds a PhD in Integrated Design Studies from Universiti Putra Malaysia, with expertise in gamification for low-skilled workforce training and BIM implementation. Education: PhD in Integrated Design Studies (2015), Universiti Putra Malaysia MEng in Civil Engineering (2010) BEng in Civil Engineering Research Interests: Construction Informatics, Extended Reality in AEC Education, Industrialized Construction, and Machine Learning for construction industrialization. His work emphasizes cross-disciplinary collaboration, particularly in digital technologies for project lifecycle management and vocational training innovation. Notable Contributions: Invented six Intellectual Properties, including THE IBS FOREMAN (2016 Silver Medal, Malaysia Technology Expo). Designed Light-Gauge Steel Framing training programs with BlueScope Ltd. Active in curriculum development for Industry 4.0 and gamified instructional systems. Awards: School of Engineering Award for Excellence in Education (2019) Civil Engineering Teaching Fellow (2021, 2022) Silver Medal for THE IBS FOREMAN (2016) Grants & Projects: Led initiatives like VR/AR in Vocational Education (2021) and Industry 4.0 for Prefab Construction (2021-2022). Supervises PhD students in Construction Engineering and Management. Engaged in editorial roles for Smart and Sustainable Built Environment and peer-review activities for multiple journals. Labs/Teams: Future Building Initiative, Building 4.0 CRC, Monash Malaysia Educational Gamification & Immersive Experience (MEGILE) initiative.
Bernhard Riecke is Professor at Simon Fraser University's School of Interactive Arts & Technology, specializing in human-centered technologies. His research explores how immersive virtual environments can enhance spatial cognition, induce transformative experiences, and support mental well-being. Research focuses on multisensory integration in VR, including spatial orientation mechanisms, vection illusions, and applications in therapeutic contexts like exposure therapy for phobias. Recent work examines how biofeedback and embodied interaction can foster mindfulness and emotional resonance in mixed-reality systems. As founder of the iSpace Lab, he mentors graduate students in projects spanning VR-induced awe, cybersickness mitigation, and cross-modal perception. His collaborative work integrates artistic practice with technological innovation to create meaningful immersive experiences.
Ali Bicer is Associate Professor of Mathematics Education in Texas A&M's School of Education and Human Development. His research focuses on enhancing mathematical creativity, problem-solving skills, and STEM engagement through innovative pedagogical approaches. Funded projects include NSF investigations into STEM PBL integration in teacher education, undergraduate STEM pathways, and community-based STEM initiatives. He examines how problem-posing, coding integration, and creativity-directed tasks enhance mathematics learning and affective engagement. Teaching includes mathematics methods courses and problem-solving instruction. His work addresses equity concerns through studies of mathematical connection development and cultural factors in mathematics attitudes.
Vinayak Krishnamurthy is an Associate Professor and J. Mike Walker '66 Career Development Professor in Mechanical Engineering at Texas A&M University, with affiliate appointments in Computer Science & Engineering. He directs the Mixed Initiative Design Lab (MIDL), working at the intersection of computer-aided design, human-computer interaction, and artificial intelligence. Research develops computational frameworks for generative design, human-AI collaboration, geometric/topological modeling, and mixed reality interfaces. Innovations include topological interlocking systems for multi-robot additive manufacturing, statistically self-similar structures via chaos algorithms, and speech-based design tools for young learners. Recent honors include multiple ASME best paper awards and an NSF CAREER award. Teaching spans mechanical engineering and data science courses, with recognition through college-level teaching awards. Publications demonstrate strong interdisciplinary integration of computational geometry, human-centered AI, and advanced manufacturing.
Laurent Moccozet is a Senior Lecturer at the University of Geneva's Research Institute for Statistics and Information Science. He holds a Ph.D. from the same institution. His research focuses on applying information and communication technologies (ICT) to education, culture, and health, with specialties in multimedia, e-learning, technology-enhanced learning, mixed realities, and digital literacy. Key research interests include: E-assessment frameworks and their evolution post-pandemic UV exposure modeling for health applications (e.g., eye protection, vitamin D synthesis) Digital literacy frameworks and educational mediation tools Peer-based learning platforms for programming education Multilingualism in higher education institutions His recent work spans computational models for UV protection (e.g., eyelash effectiveness), semantic digitization of historical records, and scalable coding platforms for novice learners. Collaborations involve health researchers (e.g., UV studies with Vernez and Bulliard) and educational technologists. Publications highlight interdisciplinary approaches, integrating healthcare, education, and computational methods. Ongoing projects include digital literacy tool development and pandemic-era e-assessment innovations.
Associate Professor Selen Turkay holds a PhD in Instructional Technology and Media from Columbia University. She joined QUT in 2017, previously working at Harvard University as a Research Fellow (2013-2015) and Research Scientist (2015-2017). She is affiliated with the School of Computer Science within the Faculty of Science at QUT. Her research focuses on immersive technologies, including virtual/augmented reality (VR/AR), gamification, and their applications in education, healthcare, and urban design. Her teaching includes courses like Immersive Level Design and Design and Development of Immersive Environments . She leads research projects such as Enabling Situated Immersive Science Collaboration with Remote Sensing Data and Augmented Sociality: Enabling a Socialised Experience of Augmented Reality , funded by Australian Competitive Grants. Her work explores topics like human-robot interaction, prosocial behavior in games, and VR training efficacy in construction and geology education. Dr Turkay supervises PhD students in areas such as VR for geological field mapping, problematic gaming behavior, and remedial game prototypes for burn rehabilitation. Her contributions span HCI conferences like OzCHI and ACM/IEEE, with a focus on advancing technologies for education, healthcare, and urban innovation.
Dr. Xining Wang is a Research Fellow in Community-Orientated Medical Simulation and Innovation in Education at the University of St Andrews School of Medicine. With a PhD from Trinity College Dublin focusing on Extended Reality (XR) enhanced learning, her work bridges educational technology and medical training. Research integrates XR/AI tools to improve clinical communication skills and address healthcare disparities through projects like AI-driven simulation platforms and VR social competence training. Key research themes: XR applications in rural/community medicine education AI-mediated clinical communication training Technology-enhanced soft skills development Publications examine VR's role in marginalized youth support and machine learning diagnostics. International collaborations include educational technology projects in China and Europe.
Miao Wang is an Associate Professor at the State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University. He earned his PhD in Computer Science and Technology from Tsinghua University in 2016 under the supervision of Prof. Shi-Min Hu, following a bachelor's degree from Xidian University in 2011. He conducted postdoctoral research at Tsinghua University from 2016 to 2018 before joining Beihang University in 2018. PhD in Computer Science and Technology, Tsinghua University (2011–2016) Bachelor of Computer Science and Technology, Xidian University (2007–2011) His primary research interests include computer graphics, virtual and augmented reality, visual media computing, and computer vision. He focuses on 3D AIGC for extended reality (XR), digital avatars, redirected locomotion, and immersive collaborative interaction in VR/AR environments. His work bridges algorithmic innovation with practical immersive applications. The recent publications highlight a strong trend in neural rendering, avatar synthesis, and intelligent interaction in virtual environments. Key themes include 3D Gaussian representations, neural fields for real-time avatar generation, semantic-aware locomotion adaptation, and redirected walking techniques. These works are published in top venues such as CVPR, IEEE TVCG, ACM TOG, and IEEE VR, reflecting cutting-edge contributions in graphics and immersive systems. IEEE VR 2025 Best Paper Award CAD/Graphics 2023 Best Paper Award CVMJ 2019 Honorable Mention Award National Science and Technology Progress Award (2nd Prize, rank 9) Higher Education Teaching Achievement Incentive Program (Special Class, rank 2) Xiaomi Young Scholar Beihang University Young Talent Miao Wang actively supervises PhD and master’s students, hosts undergraduate interns, and leads a vibrant research team. He has secured funding from the National Natural Science Foundation of China and participates in key national and regional projects. His team maintains strong international collaborations with researchers from Tsinghua University, Cardiff University, Universität Hamburg, and others. He also contributes to the academic community through service on program committees of IEEE VR, ISMAR, Pacific Graphics, and CVM, and holds leadership roles in the China Computer Society and China Graphics Society. He leads research in the State Key Laboratory of Virtual Reality Technology and Systems at Beihang University, where his team develops tools and frameworks for immersive media, including OpenRDW, a library for redirected walking. The group fosters innovation through interdisciplinary collaboration and international engagement.
Chul Min Yeum is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Waterloo. He leads the CViSS Lab, focusing on smart infrastructure through interdisciplinary research in computer vision, sensing technologies, and artificial intelligence. His work emphasizes developing technologies for structural health monitoring, nondestructive testing, and automated inspection systems. Education: PhD from Purdue University (2016), MS/BS from KAIST (2010/2008) Research interests include smart structures, mixed/augmented reality, robotics, machine learning, and big data analytics applied to civil infrastructure. His recent work explores real-time defect quantification using RGB-D datasets, gaze-based human-robot interaction systems, and machine learning for seismic vulnerability assessments. He teaches courses like AE 121, CIVE 497, and CIVE 700, focusing on computational methods and advanced structural engineering topics. Current research funding supports collaborations with government and industry partners to advance smart infrastructure solutions. Chul Min Yeum holds Sole-Supervisory Privilege Status (SSPS) and is actively mentoring graduate students in areas like computer vision for structural assessment, automated inspection systems, and resilient infrastructure design.
Heli Ruokamo is a Professor in the Faculty of Education and Director of the Media Education Hub at the University of Lapland. She holds a Ph.D. in Education and is a Docent. Her research focuses on media education, immersive virtual reality (VR), pedagogical models, and safety training. She has led projects like SLIVeR (Safety Learning in Immersive Virtual Reality) and contributed to studies on game-based learning, AI-supported simulations, and healthcare education. Roles: Professor, Media Education Hub Director Education: Ph.D. (Education), Docent Research Interests: Media education, VR applications in training, pedagogical models, healthcare simulations, and educational technology Awards: Best Paper awards (MEC 2017, Finland), High Quality Publication Award, and recognition for work on vocational education Her work emphasizes innovative learning environments, including virtual reality and simulation-based approaches. Projects like SLIVeR and Virtual Production Studio Technologies highlight her focus on safety training and immersive technologies. She has also explored AI integration in education and the design of collaborative learning spaces. Recent articles analyze VR safety training frameworks, game-based learning efficacy, and emotional engagement in simulations. Her contributions span interdisciplinary collaborations, with active roles in academic networks and international conferences.
-(1).jpg)
