جست‌وجوی استاد و پژوهشگر

• Learning Technologies
• Digital Education
• Educational Technology
• +۳ مورد دیگر

Demetrios Sampson is a Professor of Digital Systems for Learning and Education at the University of Piraeus, Greece, since 2003. He holds leadership roles including Director of the MSc Program on Digital Learning and Director of the Research Laboratory Digital Systems in Learning and Education. Previously, he was a Professor of Learning Technologies and Director of Research at Curtin University, Australia (2015–2017), and a Senior Researcher at the Centre of Research and Technology–Hellas (2000–2003). He has been a Visiting Professor at 8 universities across 4 continents, including Peking University, University of Hong Kong, and University of Tartu. His research focuses on Learning Technologies and Digital Education, recognized globally, including being named in Stanford’s World’s Top 2% Scientists. He has authored/co-authored 314 publications (books, journal articles, chapters, conference papers), edited 22 books, and received 10 Best Paper Awards. He has supervised over 200 students and led 75+ research projects with €18M funding. Sampson co-authored groundbreaking works like Educational Data Literacy (Springer, 2022) and pioneered the first MOOC on Educational Data Analytics via edX, attracting 30,000+ participants globally. He initiated the open-access Educational Technology & Society Journal , now #4 in Google Scholar rankings. Leadership roles include Chair of IEEE Technical Committee on Learning Technologies (2008–2011, 2015–2018) and Editor-in-Chief of major journals. Awards include the IEEE Computer Society Distinguished Service Award and Golden Nikola Tesla Chain Award. He holds a PhD in Electronic Systems Engineering from the University of Essex (1995) and a Diploma in Electrical Engineering from Democritus University of Thrace (1989). Key contributions include promoting educational data literacy through the Learn2Analyse initiative, leading global conferences like IEEE International Conference on Advanced Learning Technologies, and advancing frameworks for teaching analytics, flipped classrooms, and MOOC design. His work bridges technology, pedagogy, and policy, shaping modern educational systems worldwide.

Cai Xia Yangمشاهده پروفایل

دانشیار

• Nonlinear Dynamics
• Data Analysis
• Stability Analysis
• +۶ مورد دیگر

Cai Xia Yang is an Associate Professor in the Department of Mechanical Engineering at the University of North Dakota since August 2020, previously holding the same title there since 2014 and an Assistant Professor role from 2013-2020. Her research focuses on Nonlinear Dynamics , Data Analysis , Stability Analysis , and Fault Detection using vibration signals, with applications in rotating machinery, bipedal robotics, and posture stability. She has developed low-cost diagnostic systems for vibration detection and balance measurement. Ph.D. , Mechanical Engineering, University of Manitoba M.S. , Mechanical Engineering, Tianjin Institute of Textile Science and Technology B.S. , Mechanical Engineering, Tianjin Institute of Textile Science and Technology Her work integrates nonlinear Lyapunov exponent analysis with KNN classification for fault detection in mechanical systems, nonlocal elasticity theory for microsystem vibrations, and computer vision for rotating machine balancing. Publications span journals like Actuators , Nonlinear Dynamics , and conferences including ASME IMECE and IEEE EIT. She has advised numerous graduate and undergraduate students on projects related to machinery fault classification, wind turbine design, and biomedical signal processing. Recent collaborations include low-cost vital signs monitors via computer vision and vibration analysis.

• Traffic flow modeling
• Network traffic signal control
• Optimal control and reinforcement learning
• +۲ مورد دیگر

Dr. Zicheng Su is a Distinguished Researcher at Tongji University's College of Transportation Engineering, specializing in intelligent transportation systems. He joined the university in July 2023 and maintains affiliations with the Department of Traffic Information and Control Engineering and the MAGIC research group. His work bridges transportation engineering and artificial intelligence to solve urban mobility challenges. Dr. Su's educational background includes: Ph.D. in Advanced Design and Systems Engineering from City University of Hong Kong (2018-2022) under Prof. Andy H.F. Chow Bachelor's degree in Transportation Engineering from Sun Yat-sen University (2014-2018) under Prof. Renxin Zhong His research centers on traffic flow modeling and adaptive control systems using reinforcement learning. Key contributions include hierarchical control frameworks for stochastic traffic networks, multi-intersection management solutions, and bus service reliability optimization through connected vehicle technology. His work integrates model-based and data-driven approaches to address real-world urban mobility problems. Analysis of Dr. Su's publications (2017-2023) reveals consistent focus on reinforcement learning applications in traffic control, with increasing emphasis on decentralized solutions and multi-agent systems. His work spans transportation journals (Transportation Research Parts B/C) and top AI conferences (AAAI), demonstrating interdisciplinary impact in both transportation engineering and machine learning domains. Dr. Su's scientific recognition includes: HKSTS Outstanding Student Paper Award (1st place, 2021) Outstanding Academic Performance Award, City University of Hong Kong (2021) Best Student Presentation Award at Zhejiang University Workshop (2020) Multiple scholarships including HKRGC Postgraduate Studentship (2018-2022) As part of the MAGIC research group at Tongji University, Dr. Su contributes to projects on traffic design, cooperative vehicle infrastructure, and smart urban mobility systems. The group has developed the MAGIC Dataset and practical demo systems for intelligent driving assistance and traffic management applications.

Mikael Söderströmمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• User-Centered Design
• Digital Learning Environments
• +۳ مورد دیگر

Mikael Söderström is a Recognized University Teacher and Associate Professor at Umeå University , affiliated with both the Department of Informatics and the Unit of Police Work . His contact email is mikael.soderstrom@umu.se , with office locations at MIT-huset (Campustorget 5) and Polisutbildningshuset (Humanioragränd 3). As Director of Studies in Police Work, he bridges academic research with practical education in law enforcement. Research Focus His research spans Human-Computer Interaction , User-Centered Design , and Digital Learning Environments , with a particular emphasis on Public Sector Digitalization and IoT Applications in Governance . He explores how technology shapes urban spaces, education systems, and citizen engagement, often through collaborative and interdisciplinary frameworks. Publication Trends Over 16 years, Söderström has contributed to IoT in Urban Spaces , Digital Government Research , and Educational Reform . His work addresses challenges in smart city infrastructure , sustainable learning systems , and cross-sector collaboration , appearing in venues like dg.o '18 and EDEN Research Workshop . Notably, his 2024 publication on AI and digitalization highlights emerging trends in governmental technology adoption. Leadership and Collaboration As Director of Studies, he leads curriculum development in Police Work. His collaborations include researchers like Ulf Hedestig , Daniel Skog , and Pontus Bergh , reflecting a networked approach to academic inquiry. His work frequently intersects with digital ethics , pedagogical innovation , and technology-enabled governance .

Gilberto Brambillaمشاهده پروفایل

استاد

• Optical Fibre Sensors
• Distributed Optical Fibre Sensing
• Smart Lasers
• +۶ مورد دیگر

Professor Gilberto Brambilla serves as Associate Dean International at the University of Southampton's Faculty of Engineering and Physical Sciences, where he leads research within the Optoelectronics Research Centre (ORC). With extensive expertise in optical fibre technologies, his work bridges fundamental photonics research with practical applications in sensing, manufacturing, and infrastructure monitoring. His research interests span multiple cutting-edge areas of photonics and optical engineering, with particular focus on: Optical Fibre Sensors and Distributed Sensing Systems Nanostructured and Specialty Optical Fibres Femtosecond Laser Processing of Optical Materials Terahertz Waveguide Technologies Photonic Device Fabrication and Characterization Professor Brambilla's recent publications reveal a strong emphasis on practical applications of optical fibre sensing technologies, particularly for infrastructure monitoring, geophysical applications, and precision manufacturing. His work consistently demonstrates the translation of fundamental optical phenomena into real-world sensing solutions with applications ranging from transportation systems to submarine seismic monitoring. As an academic supervisor, Professor Brambilla currently mentors PhD students Kalen Daniel Barnfather and George Thomas Ong within the ORC. His research has been supported by prestigious funding bodies including EPSRC, Royal Society, Royal Academy of Engineering, and industry partners such as Huawei Technologies. Professor Brambilla's research group focuses on: Smart Lasers and Special Fibres Optical Fibre Sensors and Devices Distributed Optical Fibre Sensing

Hyeong Suk Naمشاهده پروفایل

استادیار

• Stochastic Optimization
• Large-Scale Stochastic Optimization
• Stochastic Networks and Simulation Modeling
• +۱۰ مورد دیگر

Hyeong Suk Na is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Missouri, College of Engineering, where he leads the Smart, Sustainable, and Resilient Systems (SSRS) Laboratory. He previously served as an Ervin Pietz Assistant Professor at the South Dakota School of Mines in the Industrial Engineering Department. Education: Ph.D., Pennsylvania State University M.S., Texas A&M University B.S. and M.Eng., Inha University His research focuses on stochastic optimization , machine learning , and simulation modeling to design intelligent systems that improve public safety, transportation, and emergency response. He applies data-driven decision-making to real-world challenges such as 911 funding sustainability and traffic control. His technical focus includes large-scale optimization, decision analysis, and resilient infrastructure systems. The available articles reflect a strong interdisciplinary trend, blending operations research with public policy, transportation, and emergency management. His work spans stochastic modeling in logistics, safety-critical systems, and socio-economic planning, emphasizing scalability and real-world impact. Keywords include optimization, machine learning, transportation, and public safety, with subfields like emergency response modeling, resilient systems, and policy analysis. Scientific Awards and Recognitions: No specific awards mentioned in the text. Advising and Grants: Dr. Na advises graduate students, including master’s student RJ Morrison, who developed an AI-integrated simulation app. His research is funded by major organizations including the National Science Foundation (NSF) , National Aeronautics and Space Administration (NASA) , South Dakota Board of Regents , and South Dakota Mines Foundation . He was a co-investigator on the Texas 9-1-1 Funding Analysis and Public Opinion Survey project sponsored by the Texas 9-1-1 Alliance. Laboratory and Research Team: He leads the Smart, Sustainable, and Resilient Systems (SSRS) Laboratory at Mizzou, which focuses on developing data-driven models for infrastructure resilience, emergency response, and sustainable engineering systems.

Joaquin Perez Solerمشاهده پروفایل

دانشیار

• Optical Wireless Communication
• Visible Light Communication (VLC)
• Free-Space Optics (FSO)
• +۱۲ مورد دیگر

Joaquín Pérez Soler is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. His academic work integrates advanced telecommunications research with innovative engineering education practices. He is actively involved in research groups focused on Communications and Digital Systems Design (DSDC) and Human-Robot Interaction (HRI). His research spans optical wireless communication, visible light communication (VLC), free-space optics (FSO), radio-over-fiber (RoF), V2X communications, and electromagnetic interference. Additionally, he has a strong interest in educational technologies, particularly the use of robotics and software-defined radio in teaching. His work also extends to societal challenges, including the gender digital divide and STEAM education initiatives. His recent publications reflect a dual focus: advancing hybrid optical-wireless communication systems and innovating in engineering pedagogy. Themes include VLC positioning for industrial V2V, turbulence effects in FSO, and hands-on learning via robotic platforms. His work increasingly bridges technical innovation with social impact, particularly in digital inclusion and gender equity in technology education. Deployment of Visible Light Positioning techniques at low data rate for V2V industrial communications (2024) Evolution of OWC: A Collaborative Contour Across Various Sectors (2024) VLC positioning in low data rate for V2V communication. (2024) Análisis del estado de la digitalización y la brecha digital de género del sector empresarial de la Comunidad Valenciana (2024) Transformación Digital y Equidad de Género en la Formación del Profesorado de Magisterio (2023) Dr. Pérez Soler has contributed to educational innovation through projects like HOP LEARNING and Girls4STEM, promoting inclusive and hands-on learning in engineering. He has been involved in multiple teaching initiatives using software-defined radio and mobile robotics, assessing their impact on student engagement and learning outcomes. While no specific grants are mentioned, his sustained publication output and leadership in educational projects suggest active participation in funded research and teaching development programs. He leads and contributes to interdisciplinary research teams, particularly within the DSDC and HRI groups, focusing on both technical and educational aspects of engineering. His work fosters collaboration between telecommunications engineering and pedagogical innovation, aiming to prepare students for modern technological challenges while promoting equity and accessibility in STEM fields.

• Pedagogy in Sport, Physical Activity and Health
• Social Media and Youth Health
• Digital Technologies in Education
• +۷ مورد دیگر

Professor Victoria Goodyear is a faculty member at the School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham , where she holds the position of Professor in Pedagogy in Sport, Physical Activity and Health. Her work bridges education, public health, and digital technology, with a strong focus on youth wellbeing. Her educational background includes a PhD in Physical Education and Sport Pedagogy, an MA in Education, a PGCE in Physical Education, and a BSc in Sport and Exercise Science. She previously worked as a physical education teacher and school sport coordinator before entering academia. Research Interests: Victoria's research centers on the role of social media and digital technologies in shaping young people’s health, identity, and learning. She investigates how digital environments impact mental health, body image, and physical activity, and how educators and coaches can be better supported through professional development. Her work emphasizes ethical considerations, safeguarding, and inclusive practices in digital spaces. Publication Trends: Her recent articles reflect a strong focus on adolescent smartphone and social media use, school policies, mental wellbeing, and digital safeguarding. She employs mixed methods and qualitative approaches to explore complex socio-digital phenomena in education and health contexts. Scientific Awards: Vice Chancellor’s Award for Outstanding Impact on Society University of Birmingham Hero for the 21st Century Bodies campaign Best Paper Award – Physical Education and Sport Pedagogy Exemplary Paper Award (twice) – American Education Research Association Advising and Grants: While specific students are not listed, Victoria leads and contributes to major funded research projects from ESRC, NIHR, Wellcome Trust, Google, and the British Academy. She has served as Principal Investigator (PI) or Co-Investigator (Co-I) on studies such as the SMART Schools Study, Project Safety Net, and research on digital literacy for teachers. Her work has directly influenced national policy, including the UK Online Harms Bill and CMO guidelines on screen time. Labs and Teams: She is affiliated with research initiatives at the University of Birmingham, contributing to the Centre for National Training and Research Excellence and collaborating with interdisciplinary teams across public health, education, and psychology. She also serves on editorial boards of leading journals and advises on national and international policy.

• IoT
• Decision Support Systems
• Industry 4.0
• +۴ مورد دیگر

Sylvain Kubler is a Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg's SerVal group. He holds a PhD from Université de Lorraine (2013) and previously served as an Associate Professor at the Research Center for Automatic Control of Nancy. His work focuses on IoT applications, decision support systems, and their integration into Industry 4.0, renewable energy, and smart cities. He has contributed to projects involving blockchain consensus mechanisms, maintenance scheduling, and energy system optimization. His research emphasizes sustainable technologies and distributed systems security. Research Interests: IoT and Blockchain Integration Decision Support Systems for Smart Cities and Industry Renewable Energy and Multi-Energy Networks AI-Driven Maintenance and Prognostics Privacy-Preserving Distributed Systems Recent Contributions: Sylvain’s recent work explores adaptive blockchain frameworks (e.g., DRAFTEE), reinforcement learning for maintenance scheduling, and explainable AI (XAI) in prognostics. His articles analyze trade-offs in federated learning architectures and multi-level energy system coordination. Affiliations and Labs: A core member of the SerVal group, he collaborates on initiatives like the IoT-based BIoTope ecosystem and the Sabine blockchain project. His work aligns with Luxembourg’s focus on secure, reliable, and sustainable technological solutions.

• Extended Reality Technologies
• Organizational Adoption
• Information Systems
• +۳ مورد دیگر

Henri Jalo is a Postdoctoral Research Fellow at the Faculty of Management and Business, Department of Information and Knowledge Management at Tampere University. His research focuses on extended reality (XR) technologies, organizational adoption challenges, and their applications in facility management, industrial collaboration, and digital campus environments. He specializes in mixed methods studies analyzing user resistance, enabling factors for technology diffusion, and virtual team dynamics. Key research themes include: Extended Reality (AR/VR/MR) adoption in SMEs and industrial sectors Metaverse collaboration and virtual workspaces Technology-enabling factors for digital transformation Social virtual reality applications in property lifecycle management His recent work (2021–2024) emphasizes XR's strategic role in organizational innovation, remote collaboration, and facility lifecycle optimization. He has conducted large-scale surveys on XR adoption in European manufacturing and pioneered studies on metaverse collaboration effectiveness over sustained periods. Publications highlight interdisciplinary approaches combining information systems theory with practical industry challenges in construction, real estate, and higher education environments. Current projects likely explore emerging XR applications in post-pandemic organizational workflows and digital twin integration.

• Human-Computer Interaction
• Design Studies
• Smart Cities
• +۳ مورد دیگر

Mike Vanis is a researcher at Northumbria University, focusing on human-centered design, smart cities, and interaction technologies. His work bridges design research with practical applications, emphasizing collaboration through initiatives like the Interaction Research Studio. He holds a BSc (2011) and MA (2013) in Design Studies from Northumbria. Research interests include future living spaces, sustainable urban environments, and technology-mediated social connections. Notable projects include the 'My Naturewatch Camera' initiative promoting citizen engagement with nature, and the 'Yo-Yo Machines' series exploring DIY communication tools during global crises. Publications span topics from smart city design to peripheral awareness devices, reflecting a commitment to interdisciplinary innovation. Current collaborations involve academic and industry partners in design, environmental science, and technology ethics. Labs/Teams: Active contributor to the Interaction Research Studio, collaborating across disciplines to develop impactful design solutions.

Ricardo Jose Gabrielli Barreto Campelloمشاهده پروفایل

استاد

• Data Science
• Data Mining
• Machine Learning
• +۱۳ مورد دیگر

Ricardo Jose Gabrielli Barreto Campello is a full Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), Faculty of Science and Engineering. He holds a prestigious International Recruit Fellowship from the Novo Nordisk Foundation (2023–2028) and leads advanced research in data mining and machine learning. He has held prior full professorships at the University of Newcastle and James Cook University, and adjunct or visiting roles at the University of Alberta, University of Melbourne, and University of São Paulo. Education: PhD in Electrical and Computer Engineering, University of Campinas (2002) Master in Electrical and Computer Engineering, University of Campinas (1997) Bachelor in Electronics Engineering, State University of São Paulo (Unesp) (1994) His research centers on data mining and machine/statistical learning , with a focus on developing general-purpose algorithms for descriptive and predictive analytics. He emphasizes unsupervised and semi-supervised learning , particularly in clustering, outlier detection, and intrinsic dimensionality estimation . His work bridges conceptual innovation with real-world applications, including gene-expression data analysis under his current NNF-funded project. The recent publications reflect a strong trend in unsupervised and probabilistic methods , particularly in outlier detection, clustering evaluation, and local intrinsic dimensionality. These works appear in high-impact journals and conferences such as Information Systems , Applied Energy , and SIAM SDM, often in collaboration with leading researchers like Arthur Zimek. The research demonstrates a deep integration of statistical rigor and algorithmic innovation. Scientific Awards: Best Research Paper Award, SIAM SDM (2024) 10-year Test of Time Award, PAKDD (2023) International Recruit Fellow, Novo Nordisk Foundation (2023) Runner-Up Best Paper, IEEE Transactions on Big Data (2022) Top 2% Scientist in the World (2020) Ricardo has consistently secured external research funding, including major grants from the Novo Nordisk Foundation and Danish Council for Independent Research. He has successfully advised numerous postgraduate students and led interdisciplinary research teams. His current projects include Advanced Computational Methods for Unsupervised Data Mining and collaborations on Clustering Evaluation Revisited and Reliable Outlier Detection , all based at SDU. He is actively involved in research networks and collaborations across Australia, Canada, and Europe, and maintains affiliations with institutions such as the University of Melbourne and James Cook University. His work continues to shape methodological advances in data science, particularly in foundational areas with broad application potential.

• Augmented Reality
• Robotics
• Human-Computer Interaction
• +۵ مورد دیگر

Ke Huo is a researcher focused on advanced interactions in Augmented Reality (AR) , Robotics , and Sensor Systems . His work bridges physical and digital environments through innovative tools like GhostAR , V.Ra , and iSoft , enabling intuitive authoring of context-aware applications. Research Interests : Augmented Reality (AR) systems for collaborative task planning Soft sensor technology with multimodal sensing Context-aware robotics and IoT integration 3D design ideation in mixed reality Autonomous driving decision-making frameworks Publication Trends : 2014–2024: 15+ papers on AR, sensor design, and human-robot collaboration Key venues: UIST , CHI , Sensors , ACM DIS Collaborations with Karthik Ramani, Yuanzhi Cao, and Sang Ho Yoon

Jun Hongمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Intelligent Autonomous Systems
• +۷ مورد دیگر

Professor Jun Hong holds the chair in Artificial Intelligence at the University of the West of England within the School of Computing and Creative Technologies. He is a key member of the Computer Science Research Centre (CCRC) and has led research initiatives in data science, graph mining, and intelligent autonomous systems. Research focus areas: Data extraction, integration, and linkage; graph mining; social network analysis; AI planning; BDI-based multi-agent systems; privacy preservation Major grants: Administrative Data Research Centre (ESRC, £4.9M), PACES (EPSRC, £623K), DEVELOP (EU Horizon 2020, £113K), and multiple Innovate UK projects His work spans from foundational research in probabilistic BDI agents and multi-agent planning to applied projects in social media analysis, insurance fraud detection, and healthcare communication systems. Recent publications emphasize graph neural networks, social influence prediction, and uncertainty management in autonomous systems. Supervised 12+ PhD/MSc students Acted as PC/OC Chair for IDEAS 2017 , BNCOD 2006 , and AICS 2006 Peer reviewer for top UK councils and international journals

Georgia Heirchanteriمشاهده پروفایل

استادیار

• Industrial Architecture
• Cultural Heritage Preservation
• Graphic Design in Environmental Communication
• +۳ مورد دیگر

Georgia Heirchanteri is an Assistant Professor at the Department of Industrial Design and Production Engineering, School of Engineering, University of West Attica. She holds a PhD in Engineering from the National Technical University of Athens (2014) with a specialization in Industrial Archaeology, following postgraduate studies in Architecture-Spatial Design (2004). Her academic journey includes teaching roles at the Technical University of Athens and a retroactive appointment as University Lecturer in Graphic Design since 1992. Education: Graduate of Architecture (Aristotle University of Thessaloniki), Graphic Design (Technical University of Athens), Postgraduate in Architecture-Spatial Design (NTUA) Current Role: Assistant Professor (since 2020), Postdoctoral Researcher (2017-present), Supervising Architect (2019-present) Her research focuses on interdisciplinary intersections between Industrial Architecture, Cultural Heritage Preservation, and Environmental Graphic Design. Key areas include: Study of Greek Industrial Architecture (19th-early 20th century), particularly electricity production facilities Preservation strategies for industrial heritage as cultural assets Graphic Design applications in spatial communication and signage systems Industrial Design process from ideation to implementation Sustainable urban development and circular economy models Recent publications analyze topics spanning smart energy systems , heritage resilience , climate-responsive design , and nano-material innovations . She leads the 'Design and Development of Innovative Knitted Textile and Apparel Products - SAPKE' laboratory since 2021, contributing to textile engineering research.