جستجوی استاد راهنمای دانشگاهی

Eva Durall Gazullaمشاهده پروفایل

پژوهشگر

• Child-Computer Interaction
• Participatory Design
• Data Literacy
• +۳ مورد دیگر

Eva Durall Gazulla is an Academy postdoctoral researcher at the INTERACT research group within the Faculty of Information Technology and Electrical Engineering at the University of Oulu. Her work focuses on Child-Computer Interaction, participatory design, data literacy, and STEAM education. She holds a D.A. degree and has coordinated international technology forecasts in learning and education, emphasizing participatory design approaches with young people. Her research integrates critical perspectives and futures techniques to foster democratic pedagogy in learning environments. Current projects include Critical ChangeLab (Horizon Europe-funded, 2023-2026) and Critical DataLit (Finnish Research Council-funded, 2023-2027), which explore youth data literacies and democratic values in technology design. These initiatives employ creative practices and design futuring methods to empower marginalized voices in education and citizenship. Eva has contributed to over 50 publications, focusing on technology ethics, participatory design, and speculative design methodologies. Her work bridges academic research with practical applications in primary/secondary education, informal learning, and community maker spaces. She actively participates in global educational technology networks and advocates for equitable technology access through inclusive design frameworks. Contact: eva.durallgazulla@oulu.fi | Office: TS102, Pentti Kaiteran katu 1, Oulu

Laura Kohonen-Ahoمشاهده پروفایل

پژوهشگر

• Computer-mediated communication
• Social virtual reality
• Distributed collaboration
• +۳ مورد دیگر

Laura Kohonen-Aho is a postdoctoral researcher at the University of Oulu’s Faculty of Humanities, affiliated with the Research Unit for Languages and Literature. Her current research project Beyond individual experiences towards social VR (2022–2025), funded by the Research Council of Finland, explores social actions, user adaptation, and collaborative activities in virtual reality environments. She holds a D.Sc. (Tech) degree. Her research interests span computer-mediated communication, social virtual reality, distributed collaboration, multimodal conversation analysis, and embodied participation. She is a member of the COACT research group (Complexity of (inter)action and multimodal participation). Her work bridges ethnomethodological studies with emerging digital technologies, focusing on interactional dynamics in virtual and hybrid environments. Key areas of focus include analyzing embodied interaction in VR, negotiation of shared activities, and the role of automation in mediated communication. She uses video-based methodologies to study social presence, multimodal discourse, and collaborative practices in digital spaces. Research Groups: COACT Affiliations: Research Unit for Languages and Literature ORCID: Link ResearchGate: Link Her contact details include the email laura.kohonen-aho@oulu.fi and social media profiles on LinkedIn and X.

Hannu Häkkinenمشاهده پروفایل

استاد

• Physics
• Nanoscience
• Computational Chemistry
• +۴ مورد دیگر

Hannu Häkkinen is a Professor and currently serves as Vice Dean of the Faculty of Mathematics and Natural Sciences at the University of Jyväskylä. He holds an active affiliation with the Department of Physics and previously held the title of Academy Professor (terminated). His research focuses on the computational design, structural modeling, and functional characterization of atomically precise metal nanoclusters, particularly their interactions with biomolecules, ligands, and surfaces. Key research interests include nanocluster interfaces, ligand stabilization strategies, machine learning applications in nanomaterials research, and the development of nanoclusters for biomedical and catalytic applications. He leads major projects such as the European Commission-funded 'Dynamic nanocluster – biomolecule interfaces' (2024–2029) and the Academy of Finland grant on computational design for bioimaging and photodynamic therapy (2024–2026). His work has contributed to advancements in nanoscale catalysis, cluster-based sensors, and interdisciplinary collaborations bridging physics, chemistry, and biology. As part of the Nanoscience Center (NSC), he integrates experimental and theoretical approaches to understand cluster behavior in diverse environments. Notable achievements include the Academy of Finland’s Academy Professorship and pioneering studies on nanocluster superatoms and their defect engineering. Grants and Projects: Leading €6M EU project on chiral gold nanocluster biosensors Academy of Finland grants for computational design (2024–2026), RDI docking (2023–2027), and catalyst development (2022–2025) Contributions to FGCI cloud computing infrastructure for data science (2019–2021) Labs and Teams: Member of the Nanoscience Center (NSC), a cross-departmental hub spanning Physics, Chemistry, and Biological/Environmental Sciences Collaborates closely with the GraphBNC machine learning team

• Machine Learning
• Reinforcement Learning
• Online Learning
• +۳ مورد دیگر

Mahsa Asadi is a Postdoctoral Researcher in the Department of Computer Science, focusing on theoretical and applied aspects of machine learning. Her research emphasizes online learning, collaborative algorithms, and reinforcement learning, with contributions to regret minimization, state-action equivalence in RL, and distributed multitask learning. She explores intersections between statistical theory and algorithmic design, with applications in autonomous systems and multi-agent coordination. Her work spans foundational topics like concentration inequalities and upper confidence bounds, alongside practical implementations such as the CYRUS 2D simulation team and Miss PacMan AI controller. Notable contributions include model-based reinforcement learning frameworks that exploit structural equivalence properties, and collaborative mean estimation algorithms. Research Themes: Online Learning, Reinforcement Learning, Distributed Systems, Statistical Learning Theory Key Contributions: Human-in-the-loop systems, state-action abstraction techniques, regret-optimal algorithms No formal academic awards or grants are listed in the provided information. Her advising and collaborative work focus on advancing algorithmic foundations with practical implementations in robotics and game AI contexts.

• Materials Science
• Nanotechnology
• Smart Textiles
• +۴ مورد دیگر

Jaana Vapaavuori is an Associate Professor at Aalto University's Department of Chemistry and Materials Science, where she leads research in the Multifunctional Materials Design group. Her work spans multiple disciplines within materials science, with a particular focus on sustainable and smart materials. Her educational background includes a Doctoral degree in Engineering and Technology from Aalto University (awarded June 12, 2013) and a Master's degree from Helsinki University of Technology (awarded January 27, 2009). Professor Vapaavuori's research interests center around sustainable materials development, with particular expertise in: Nanocellulose-based materials and their applications Smart textiles and responsive materials Surface science and functional coatings Sustainable energy storage solutions Metal recovery using electrochemical methods Her recent publications demonstrate a strong focus on developing sustainable alternatives to conventional materials, with particular attention to cellulose-based systems, smart textiles, and environmentally friendly metal recovery processes. Her work bridges fundamental materials science with practical applications in energy, textiles, and environmental technology. Professor Vapaavuori has received significant research funding for her work, including multiple active projects: NorTex: Towards Nordic Center of Future Textiles (2025-2026) FinnCERES Storage (2025-2026) EARMetal: Electrochemically-Assisted Aqueous Reduction of Waste Streams (2021-2025) ModelCom: Autonomously adapting and communicating modular textiles (2021-2025) Her research has attracted considerable media attention, with 34 press/media mentions, highlighting the societal relevance of her work on smart textiles and sustainable materials. Her research contributes to multiple UN Sustainable Development Goals, particularly those related to sustainable industry, responsible consumption, and climate action.

• Synthetic Aperture Radar
• CubeSats
• Low Earth Orbit
• +۸ مورد دیگر

**Jaan Praks** is an Associate Professor at the Department of Electronics and Nanoengineering, Aalto University, leading the Jaan Praks Group within the School of Electrical Engineering. His research focuses on satellite systems, space physics, remote sensing, and CubeSat mission engineering. He holds a Doctoral degree in Engineering and Technology from Aalto University (2012). **Research Interests**: Praks specializes in CubeSat-based missions for radiation belt studies, space weather monitoring, and low Earth orbit (LEO) positioning systems. His work integrates synthetic aperture radar (SAR) applications for boreal forest monitoring, snow water equivalent retrieval, and hyperspectral imaging for planetary missions. Key projects include the CORBES radiation belt survey and the FORESAIL CubeSat missions. **Awards**: Received the R2B - DIAMANT award (2024) for contributions to small satellite antenna design and space mission innovation. **Grants & Projects**: Principal investigator for multiple grants including the Centre of Excellence in Research of Sustainable Space (2023–2025) and AuroraSpace (2023–2026). Active in ESA collaborations and EU structural funds initiatives. **Labs & Teams**: Leads the Jaan Praks Group, a multidisciplinary team advancing CubeSat technology, space instrumentation, and remote sensing applications. Supervised 8 doctoral students to date, including Mayank, Marius Anger, and Kiril Cheremetiev.

• Interpretability
• Machine Learning
• Data Mining
• +۴ مورد دیگر

Martino Ciaperoni is a Postdoctoral Researcher and Adjunct Professor in the Department of Computer Science at Aalto University. He is affiliated with the research group of Adj. Prof. Gionis Aris. His primary focus is on advancing interpretable machine learning, algorithm optimization, and data mining techniques. Ciaperoni holds a doctoral degree (Tekn. toht.) in Computer Science from Aalto University (2024) and a Doctoral degree in Engineering and Technology from Università degli Studi di Roma 'La Sapienza' (2019). His research emphasizes interpretability in AI, multi-label classification, and efficient algorithms for speech recognition and Bayesian networks. Recent work includes exploring the Rashomon set of rule-based models, developing low-memory Viterbi decoding algorithms (SIEVE), and solving the Hadamard decomposition problem. His research spans topics like core decomposition in temporal networks and low-rank matrix approximation. Collaborations include international projects in computational linguistics, knowledge discovery, and algorithm design. He has contributed to open-source software, such as the 'Efficient Exploration of the Rashomon Set' codebase (Zenodo). His work balances theoretical rigor with practical applications, aiming to bridge gaps between complex algorithms and real-world problem-solving.

Sonsoles López-Pernasمشاهده پروفایل

پژوهشگر ارشد

• Learning Analytics
• Game-Based Learning
• Education Technology
• +۷ مورد دیگر

Sonsoles López-Pernas is a Research Fellow at the University of Eastern Finland (since 2022), part of the Learning Analytics research unit. She holds a PhD in Telematics Engineering from Universidad Politécnica de Madrid (Spain). Her work focuses on learning analytics, game-based learning, and quantitative methods like process mining and network analysis. She leads the CRETIC project, funded by Finland's Research Council, which applies multimodal learning analytics to clinical education. She co-authored the open-access book Learning Analytics Methods and Tutorials: A Practical Guide Using R and developed open-source tools like Escapp (educational escape room platform) and the tna R package for transition network analysis. Her research interests span educational technology, AI in learning, and dynamic systems approaches to student engagement. She has published over 100 articles in top journals like Computers & Education and IEEE Transactions on Learning Technologies . Awards include the 2025 SoLAR Emerging Scholar Award and the 2024 IEEE TCLT Early Career Researcher Award. Key Projects: CRETIC (clinical reasoning optimization), Escapp platform, tna R package Software Contributions: Open-source tools for learning analytics and education Awards: SoLAR Emerging Scholar Award (2025), IEEE TCLT Award (2024) Her work emphasizes methodological innovation, with a focus on transitioning from static to dynamic educational analytics. She collaborates globally in research and industry projects.

Ritva Kantelinenمشاهده پروفایل

استاد

• Language Education
• Teacher Training
• Multicultural Education
• +۵ مورد دیگر

Ritva Kantelinen is a Professor at the University of Eastern Finland (UEF), affiliated with the School of Applied Educational Science and Teacher Education under the Philosophical Faculty. Her primary focus is on language education, teacher training, and multicultural pedagogical practices. She has contributed extensively to research on early foreign language learning, intercultural competence, and global citizenship education, particularly in cross-cultural and international contexts. Her work emphasizes the importance of teacher-student interactions, parental engagement in language learning, and the integration of multicultural perspectives in curricula. Key projects include the Sino-Finnish Teacher Education and In-Service Teacher Training (SIFTED) initiative, exploring educational export models between Finland and China. She has also collaborated internationally, publishing studies on parental perceptions of ideal language teachers across eight countries. Dr. Kantelinen has authored over 90 publications, including peer-reviewed articles in journals like Journal of Multilingual and Multicultural Development and ECNU Review of Education . Her research methodologies often combine qualitative approaches with collaborative frameworks, addressing topics such as self-assessment practices in EFL teaching, intercultural communication in teacher training, and curriculum development for global citizenship.

Sanna Laulainenمشاهده پروفایل

استاد

• Health Services Management
• Social Policy
• Critical Management Studies
• +۵ مورد دیگر

Sanna Laulainen is a Professor and Head of Department at the Department of Health and Social Management, University of Eastern Finland. She holds a prominent academic role within the Faculty of Social Sciences and Business Studies, contributing to research and education in health and social management. Her work focuses on critical management studies, organizational dynamics, and social policy, particularly in aging populations and healthcare integration. Education and Research Interests Expertise in qualitative and visual methods applied to healthcare and social services. Research emphasizes organizational citizenship, resilience, and interdisciplinary collaboration in health systems. Explores the intersection of arts and healthcare, particularly in geriatric settings. Key Projects and Contributions Leading projects like Critical Management and Organisational Studies in Health and Social Care (CMS 3.0) and Managers under pressure – Social welfare management and its future . Co-authored influential studies on caregiver competencies, workplace ostracism in healthcare, and aging policies. Advances pedagogical approaches through arts-based methods in healthcare education. Future Directions Continues investigating resilience frameworks in healthcare and policy reforms. Promoting interprofessional education and workforce competency development.

Markku Tukiainenمشاهده پروفایل

استاد

• Educational Technology
• Software Engineering
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Markku Tukiainen is a Professor and Head of the School of Computing at the University of Eastern Finland (UEF). His research focuses on Educational Technology, Software Engineering, Human-Computer Interaction (HCI), and ICT4D, with particular emphasis on leveraging extended realities (XR/VR/AR/MR) and ethical AI in education. He leads projects such as the Visiiri initiative for Green ICT transition and collaborates on global initiatives like the UbuntuNet Alliance's knowledge management systems. Key research themes include computational thinking in K-12 education, participatory design of learning tools, and accessibility in virtual laboratories. Tukiainen has pioneered studies on AI ethics curriculum development for middle schoolers and the motivational impacts of robotics education. His work integrates empirical evaluations, systematic reviews, and design research methodologies. He has supervised numerous advisees across PhD and Master’s programs, contributing to over 150 peer-reviewed publications. Notable collaborations include projects in Nigeria, Tanzania, and Eritrea, addressing technology adoption challenges in developing economies. Tukiainen also chairs the Healthy Aging in Digitized Societies workshop series, bridging healthcare and ICT innovation. Award-winning educator, he has developed tools like WebAVALIA for peer assessment and Jeliot Mobile for mLearning. His research is funded through EU and national grants, reflecting interdisciplinary impact across computer science, education, and international development.

Pasi Vahimaaمشاهده پروفایل

استاد

• Photonics
• Diffractive Optics
• Optical Coherence
• +۵ مورد دیگر

Professor Pasi Vahimaa is a prominent academic at the University of Joensuu, affiliated with the Department of Physics and Mathematics within the Faculty of Science, Forestry and Technology. His research focuses on theoretical optics, photonics, and the application of advanced technologies in education. He leads projects such as the Mehtimäki Well-being and Sports Testing Center, emphasizing innovation in learning environments and healthcare through photonics. His work integrates flipped learning, VR/AR, and AI/ML to enhance educational tools and sensor technologies for monitoring learning processes. Key research interests include diffractive optics, optical coherence, SERS substrates, nanomaterials, and the development of sensor systems. Vahimaa has contributed to over 100 peer-reviewed articles, focusing on photonics applications, nanotechnology, and educational technology. His recent projects aim to create innovative learning environments and leverage AI for personalized education. Notable collaborations involve advancements in SERS substrates for biosensing, femtosecond laser processing, and polymer-based optical components. Vahimaa’s work bridges fundamental optics research with practical applications in health, education, and industry, emphasizing interdisciplinary innovation.

Teemu Valtonenمشاهده پروفایل

استاد

• ICT Pedagogy
• Teacher Education
• TPACK (Technological Pedagogical Content Knowledge)
• +۴ مورد دیگر

Teemu Valtonen is a Professor at the School of Applied Educational Science and Teacher Education , University of Eastern Finland. His work focuses on ICT pedagogy , teacher education , and TPACK (Technological Pedagogical Content Knowledge) , with a strong emphasis on integrating learning analytics , artificial intelligence , and computational thinking into educational practices. He leads projects like Teacher Education without Walls and explores digital game-based learning and data agency in K-12 contexts.

Juha Kauppilaمشاهده پروفایل

مدرس

• Adult Education
• Lifelong Learning
• Educational Sociology
• +۵ مورد دیگر

Juha Kauppila is a University Lecturer at the University of Eastern Finland (UEF), affiliated with the School of Educational Sciences and Psychology within the Philosophical Faculty. His work focuses on adult education, generational studies, and lifelong learning, emphasizing societal well-being and intergenerational dynamics. Research Interests: Adult education policy, generational conflicts, sustainable development, civic engagement, and educational sociology. Key Projects: HEART (intangible cultural heritage through learning), Sus21 (education and sustainability), and WEL (web-based learning pedagogies). His research explores adult education's role in societal structures, including market-based policies, intergenerational learning, and the integration of diverse generational experiences. Recent articles address topics such as adult learners' challenges in balancing work and family, well-being support systems, and historical generational perspectives. Professional activities include leading the Lifelong Learning and Sustainable Development research group and contributing to international educational initiatives like the International Bachelor’s Program in Lifelong Learning.

Sonsoles López Pernasمشاهده پروفایل

دانشگاهی

• Game-based learning
• Learning analytics
• Data engineering
• +۱۰ مورد دیگر

Sonsoles López Pernas is a Senior Researcher at the University of Eastern Finland , School of Computing. Her work focuses on game-based learning , learning analytics , data engineering , and AI in education . She develops open-source educational software and applies quantitative methods like machine learning and network analysis. Current projects include CRETIC (clinical reasoning analysis) and IGLUE (game-based learning). Research Trends : Her recent articles emphasize idiographic approaches to education, transition network analysis , and complex dynamic systems in learning. She explores AI-human collaboration and generative AI limitations in pedagogy. Methodological Contributions : Author of tutorials on sequence analysis , Markov models , and R packages for educational data analysis (e.g., tna , chatgptscrapeR ).