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Noora Hirvonen is a Professor of Information Studies at the University of Oulu's Faculty of Humanities, affiliated with the Department of History, Culture and Communication Sciences. She holds a docentship in Health Communication from the Faculty of Medicine, University of Oulu. Her research focuses on the intersection of information practices, artificial intelligence, and youth digital literacy. Current work examines how AI technologies shape everyday information environments, particularly through the GenZ profiling project, which explores skills and behaviors in technologically advanced societies. Research interests include information literacy, health information dynamics, and societal impacts of communication technologies. She leads the Health Information Mastering, HIM-Oulu&Åbo research group and collaborates on projects like BRIDGE, emphasizing transmedia education for primary schools. Her work bridges theoretical insights with practical applications in eHealth services and digital competence development. Awarded the docentship in health communication, her contributions span participatory research methodologies and ethical AI integration. She advises on national digital literacy initiatives and collaborates internationally on youth-centric digital policies. Her lab environments prioritize youth agency and equitable access to information systems.

• Information Studies
• Health Communication
• Digital Literacy
• +3 more

Niko Siltala is a University Instructor at Tampere University's Department of Automation Technology and Mechanical Engineering. He holds a Doctor of Science (Technology) in Mechanical Engineering (2016) and a Master of Science (Technology) in Automation Engineering (2001). His research focuses on production system design, reconfiguration, robotics, and virtual reality applications in safety training. He has contributed to the development of semantic rules for capability matchmaking, which supports rapid system design and reconfiguration. Key research areas include: Manufacturing automation and system adaptability Human-robot collaboration and safety protocols Virtual reality-based training solutions Formal resource descriptions for modular systems His work aligns with UN Sustainable Development Goals, particularly in advancing quality education (SDG 4) through innovative robotics education tools. He has received the Distinguished Committee Service Award (2004) and contributed to grants such as the K.F. ja Maria Dunderbergin testamenttisäätiö (2014). He has collaborated on projects like the D-BEST methodology for pilot lines and the ODIN project for scalable production systems. His activities include organizing conferences, presenting at international forums, and developing web-based tools for manufacturing system planning.

• Production System Design
• Robotics
• Manufacturing Automation
• +3 more

Mika Nieminen serves as Senior University Lecturer in the Department of Computer Science at Aalto University's School of Science, specializing in the Human-Computer Interaction and Design (HCID) research area. With a Doctoral degree from Aalto University (2015) and extensive background in engineering and technology, he maintains active research leadership through multiple projects including ARISE: Advanced Realities for Cultural Innovation in Europe (2025-2029). His research focuses on Human-Computer Interaction with particular expertise in Virtual Reality , Participatory Design , and Strategic Usability . His work spans multiple application domains including healthcare systems, educational technologies, and cross-cultural interfaces. His Strategic Usability Research Group (STRATUS) develops frameworks for integrating user-centered approaches into business contexts. Nieminen's publication record shows a clear trajectory toward applying HCI principles to medical education (particularly ophthalmology) and migration support systems. His recent work demonstrates increasing focus on asymmetric VR environments and their impact on presence, collaboration, and user experience. His projects often involve international collaboration, particularly with European partners. As principal investigator for the Lapsus research project (2015-2018), he developed patient experience frameworks for pediatric healthcare settings. His current ARISE project continues this healthcare technology focus while expanding into cultural innovation applications of advanced realities. His academic service includes conference presentations on topics such as crowdsourced translation within refugee information systems and visiting researcher positions at foreign academic institutions, demonstrating commitment to both theoretical and applied aspects of HCI research.

• Human-Computer Interaction
• Participatory Design
• User-Centered Design
• +6 more

Mickaël Bettinelli is an Associate Professor at Université Savoie Mont Blanc, affiliated with the LISTIC laboratory. He holds a PhD in Computer Science (Distributed Artificial Intelligence) from Université Grenoble Alpes and previously worked as a postdoctoral researcher at the University of Oulu's Center for Ubiquitous Computing under the EU Horizon 2020 Fractal project. Current research focuses on federated learning and distributed systems resilience Developed DonatelloPyzza, an educational Python gridworld game Active reviewer for journals/conferences including IEEE Transactions and AAMAS His research bridges federated learning, multi-agent systems, and collective intelligence, emphasizing societal impact through sustainable technological solutions and science popularization via his French YouTube channel DonatelloPyzza . Publications span topics like decentralized decision-making and bias mitigation frameworks. Scientific Awards Prix 'Coup de coeur', Concours Conter et Rencontrer les Sciences 2024 Best Paper Award at JFSMA 2021

• Federated Learning
• Distributed Intelligence
• Complex Systems
• +3 more

Ondrej Krejci is a researcher in the Department of Applied Physics at Aalto University, specializing in computational and theoretical approaches to surface science, scanning probe microscopy, and materials discovery. His work bridges advanced simulation techniques with experimental validation. Research interests include: Density Functional Theory (DFT) Scanning Probe Microscopy (SPM) simulations Molecular adsorption on surfaces X-ray spectroscopy simulations Condensed matter physics Atomic and molecular physics Recent publications highlight trends in machine learning for catalyst discovery, probe-particle model innovations, and on-surface synthesis of novel carbon allotropes and frameworks. Collaborative work spans computational modeling, experimental validation, and instrumentation development.

• DFT (Density Functional Theory)
• SPM (Scanning Probe Microscopy)
• Surface Science
• +6 more

Ramy Elmoazen is a Postdoctoral Researcher at the School of Computing, University of Eastern Finland (UEF), within the Faculty of Science, Forestry and Technology. His research focuses on learning analytics, educational technology, and collaborative learning, with a particular emphasis on temporal and social dimensions in collaborative environments. He leads and contributes to projects like BalticSeaBioMed, IGLUE (game-based learning using escape rooms), and Maker & STEM Education initiatives. His work bridges theoretical frameworks like epistemic network analysis (ENA) with practical applications in online education and biomedical learning. Key projects include evaluating technology-enhanced learning in laboratories, exploring barriers and opportunities in STEM education, and advancing methods for capturing student interactions through learning analytics. His doctoral dissertation (2024) emphasized using learning analytics to study social and temporal aspects of collaborative learning. Elmoazen’s interdisciplinary approach integrates quantitative methods, systematic reviews, and educational design, contributing to both academic and applied contexts. He has collaborated on studies ranging from clinical trials in dentistry to large-scale reviews of ENA applications, showcasing his versatility across health education and technology-driven pedagogy. His research highlights the importance of scalable analytics tools and evidence-based practices in modern educational settings.

• Learning Analytics
• Educational Technology
• Collaborative Learning
• +3 more

Anu Hartikainen-Ahia is a University Lecturer and Deputy Head of School at the School of Applied Educational Science and Teacher Education, part of the Philosophical Faculty at the University of Eastern Finland. Her work focuses on science education innovation, particularly in inquiry-based learning (IBSE), socio-scientific issues (SSI), and teacher professional development. She actively contributes to international projects like the EU-funded PROFILES initiative, which promotes context-based science education. Her research examines diverse areas including pre-service teachers' perceptions of student support needs in science education, adolescents' engagement with health-related SSI, and cross-cultural awareness of STEM career skills. She has collaborated extensively with colleagues on projects involving digital tools for science education and teacher training programs. Hartikainen-Ahia has published widely in journals like LUMAT, Health Education, and International Journal of Science Education, focusing on topics such as collaborative learning processes, internet-based interventions in science education, and the design quality of educational scenarios. Her work emphasizes bridging theory and practice through innovative pedagogical approaches.

• Science Education
• Inquiry-Based Learning
• Teacher Education
• +4 more

Virpi Vellonen is a Lecturer at the University of Eastern Finland , affiliated with the Special Education department under the School of Educational Sciences and Psychology . Her work focuses on leveraging educational technology to support children with autism spectrum disorders (ASD) , emphasizing inclusive pedagogy and student well-being . She has led projects like Student Teacher Well-Being: Deepening Understanding and Building Support (STeWDUBS) , which explored stress and resilience in teacher training. Research Interests : Designing technology-enhanced learning environments for ASD students, strength-based educational models , and DIY (do-it-yourself) educational tools . Key Contributions : Validating inclusion measures in Finnish higher education, analyzing narrative research in teacher well-being, and pioneering participatory design with ASD children and families. Email : virpi.vellonen@uef.fi

• Special Education
• Educational Technology
• Autism Spectrum Disorders
• +3 more

Hans Moen is a Research Fellow in the Department of Computer Science at Aalto University, affiliated with the Professorships of Marttinen P. and Kaski Samuel. His research focuses on natural language processing (NLP) applications in healthcare, including clinical documentation analysis, stigmatizing language detection in medical records, and transformer-based deep learning for health trajectory modeling. Moen has contributed to interdisciplinary projects involving nursing informatics, healthcare disparities, and predictive modeling in clinical settings. Research Interests: His work bridges computer science and healthcare, emphasizing: NLP techniques for clinical text analysis Health equity through language bias detection Machine learning for longitudinal health data Automated clinical documentation systems Prominent contributions include identifying racial/ethnic disparities in birth clinical notes (2025) and developing self-supervised summarization methods for nursing records (2024). His 2023 Aalto SCI award recognized excellence in teaching assistantship. Collaborations span healthcare institutions and interdisciplinary teams, addressing challenges in electronic health records, patient risk prediction, and clinical decision support systems.

• Natural Language Processing
• Health Informatics
• Clinical Documentation
• +3 more

Jussi Ryynänen is a Professor and Dean at Aalto University's School of Electrical Engineering, leading the Electronic Circuit Design (ECD) unit within the Department of Micro and Nanosciences. His research focuses on integrated circuits, wireless transceivers, and millimeter-wave systems, with a strong emphasis on RF, analog, and digital IC design. The ECD unit is internationally recognized for its work in nanoscale IC technologies and advanced measurement infrastructure. Key research areas include time-based integrated circuits, beam-steering/MIMO systems, antenna-IC co-design, and RF DAC/ADC development. His work combines cutting-edge semiconductor technologies with innovative circuit architectures for high-speed communication and sensor applications. The group maintains extensive collaborations and funding networks supporting its interdisciplinary projects. Ryynänen's research has been honored with awards such as the ECCTD Best Student Paper (2015), Crowncom Student Award (2011), and a best paper at the Advances in Cognitive Radio Conference (2012). His group actively publishes in top-tier venues like IEEE Transactions on VLSI Systems and IEEE Access, addressing challenges in mmWave circuits, neural network accelerators, and reconfigurable DSP hardware. Current projects span automated design frameworks for analog circuits, passive CMOS circulators for nonreciprocal systems, and energy-efficient signal processing architectures for 5G/6G transmitters. His work bridges fundamental circuit theory with practical implementations for next-generation communication systems.

• Integrated Circuits
• Wireless Communications
• CMOS
• +7 more

Pirita Seitamaa-Hakkarainen is a Professor of Craft Studies at the University of Helsinki and Docent at Aalto University. She leads the Co-inquiry, co-design, co-teaching, and co-regulation (Co4-Lab) laboratory and contributes to the Maker@STEAM research group. Her work bridges cognitive theories of design with collaborative learning environments, emphasizing materiality and knowledge building in education. University of Helsinki: Professor of Craft Studies Aalto University: Docent Her research focuses on: Cognitive theories of design processes and expertise development Collaborative learning and social creativity in maker education Role of external representations (sketching, visualization) in design Scaffolding mechanisms in craft and technology education Materiality in digital age pedagogy Knowledge building theory applications Recent publications (2020-2025) demonstrate sustained output in collaborative design education, virtual reality learning environments, and STEAM pedagogy. Her work consistently explores intersections between cognition, collaboration, and digital/material artifacts in educational settings.

• Design Processes
• Collaborative Learning
• Maker Education
• +5 more

Selcen Erten Johansson is a Doctoral Researcher in Digital Language Studies at the University of Turku, focusing on corpus linguistics and media discourse analysis. Her research examines Turkish web registers in the context of political events, such as Finland's NATO membership process in Turkish media. Supported by the Eino Jutikkala Fund (2024–2026), her work bridges computational methods with sociolinguistic inquiry. She holds a Master's in Linguistics from Mersin University (2019) and has been a Fulbright scholar in the U.S. Her teaching spans corpus linguistics, language technology, and Turkish as a foreign language at institutions including Turun Suomenkielinen Työväenopisto and Toros University. Education: PhD Candidate in Digital Linguistics, University of Turku (2021–present) Master's in Linguistics, Mersin University, Türkiye (2019) Fulbright Scholarship, Michigan State University (2015–2016) Research Interests: Selcen explores language variation in digital contexts, particularly Turkish web-based discourse. She combines corpus linguistics with computational tools to analyze political media narratives and multilingual web registers. Her work emphasizes the intersection of technology and sociolinguistics, including projects like TurCORE and collaborations with the TurkuNLP research team. She also investigates pedagogical approaches for teaching Turkish and Finnish as foreign languages. Grants & Support: Eino Jutikkala Fund Grant (2024–2026), Finnish Academy of Science and Letters Teaching & Outreach: She has taught courses on corpus linguistics, automatic text processing, and Turkish language instruction across multiple institutions. Her teaching philosophy integrates digital tools with traditional language pedagogy. Labs & Teams: Active member of the TurkuNLP research team, focusing on NLP applications in digital humanities and multilingual corpora analysis.

• Corpus Linguistics
• Media Discourse Analysis
• Turkish Web Registers
• +3 more

Kirsi Syynimaa is a Researcher in the Research and Innovation Services at the University of Jyväskylä. Her work bridges educational sciences and digital technology, focusing on collaborative learning environments. University: University of Jyväskylä Department: Research and Innovation Services Her research explores enabling and hindering factors in simulation-based learning game-based education virtual teamwork collaborative writing through interdisciplinary projects with colleagues like Kirsi Lainema and Raija Hämäläinen. Recent publications analyze digital affordances, gamification, and instructional design in higher education. She advocates for open-access dissemination and technology-enhanced learning frameworks.

• Educational Sciences
• Educational Technology
• Collaborative Learning
• +3 more

Petri Niemi is a Researcher at LUT University within the School of Engineering Sciences , specifically affiliated with the Industrial Engineering and Management (IEM) department. His work spans interdisciplinary domains, linking engineering with business practices. Current research focuses on soil science and agricultural management, particularly analyzing soil pore structure, microbial interactions, and long-term agricultural impacts. His earlier contributions center on supply chain management, logistics optimization, and educational pedagogy, including experiential learning frameworks and student guidance systems. Research Trends: Recent publications highlight sustainable soil management and pore dynamics, while earlier works emphasize knowledge development in supply chains and logistical service innovation. His expertise bridges quantitative analysis, organizational behavior, and user-centric design. Education & Practice: While formal educational details are not public, his pedagogical involvement includes student guidance and curriculum development for secondary and higher education programs.

• Supply Chain Management
• Operations Management
• Logistics
• +4 more

Jari Vepsäläinen is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering under the College of Engineering. He serves as Director of the Fluid Power group and specializes in mechatronics design, energy efficiency, and generative design methodologies. Research focuses on physics-based modeling for energy recovery AI/ML applications in electromechanical system design Applications in robotics, heavy machinery, and sustainable transportation His recent publications demonstrate expertise in hybrid systems, fluid power optimization, and AI-driven engineering, with a strong emphasis on electrification and efficiency across automotive, maritime, and industrial domains. Key areas: Mechatronics, Energy Systems, Generative Design Technologies: Digital Twins, IoT, Machine Learning Current projects involve thermal energy systems, electric motor optimization, and advanced control algorithms for mobile machinery.

• Mechatronics Design
• Energy Efficient Systems
• Generative Design
• +7 more