Find Academic Supervisors

• Maritime Engineering
• Machine Learning
• Risk Analysis
• +4 more

Mingyang Zhang is a Postdoctoral Researcher at the Department of Energy and Mechanical Engineering , Aalto University, Finland. His research focuses on the intersection of Maritime Engineering and Artificial Intelligence , particularly in Digital Twin Technology , Ship Motion Prediction , and Risk Analysis for Arctic and inland waterway operations. Awarded Best Paper at G-NAOE 2024 Honored with 5 Highly Cited Paper Awards (2021-2024) Active in Marine and Arctic Technology research group His machine learning work addresses ship fuel consumption prediction , collision avoidance , and grounding risk assessment , with applications in autonomous shipping and offshore wind farm monitoring . Key publications span Reliability Engineering , Ocean Engineering , and Marine Hydrodynamics journals. Recent article trends include: Digital Twin applications for shipping decarbonization (2024) Deep learning models for 6-DoF ship motions and focused wave prediction (2023) Big Data Analytics for Arctic navigation risks and inland waterways (2022-2021) Integration of HFACS and fault tree analysis in risk modeling (2019) Scientific achievements include: 2024: Best Paper, G-NAOE Conference 2023: 2 Highly Cited Paper Awards 2022: 2 Highly Cited Paper Awards 2021: Highly Cited Paper Award 2019: Best Paper, 5th International Conference on Transportation Information and Safety Current research at the Marine and Arctic Technology group emphasizes AI-driven maritime safety , real-time risk monitoring , and data-intensive shipping decarbonization projects. Collaborations include Spyros Hirdaris , Pentti Kujala , and Jakub Montewka .

• Digital Technologies
• Aging
• Digital Inclusion
• +4 more

Riitta Hänninen is an Adjunct Professor (Docent) and Senior Researcher at the University of Jyväskylä, affiliated with the Centre of Excellence in Research on Ageing and Care and the Department of Social Sciences and Philosophy. She co-leads the WP6, New Technologies, Ageing and Care, within the CoE. Her research focuses on digital technologies , aging , and digital inclusion , with a special emphasis on digital ethnography and qualitative research methods . She has also explored social media influencers and the commercialisation of social media . The 2025 articles highlight her work on digital repertoires in later life, mental access to digital services, and the paradoxes of digital leisure. Earlier publications examine warm experts’ roles, stakeholder perspectives on service design, and foundational concepts in digital inclusion. Her projects include the Centre of Excellence in Research on Ageing and Care (2018–2025), Towards a Socially Inclusive Digital Society (2019–2025), and Aging in Data (2021–2027), funded by bodies such as the Academy of Finland and the Social Sciences and Humanities Research Council of Canada.

• Machine Learning
• Sports Science
• Health Informatics
• +3 more

Susanne Jauhiainen is a Postdoctoral Researcher affiliated with the Faculty of Information Technology at the University of Jyväskylä . Her work primarily focuses on applying machine learning and data science techniques to interdisciplinary problems in sports science and health informatics. Research Themes : Machine Learning, Sports Injury Prediction, Student Well-Being Analytics Key Collaborations : Computational Data Science Research Group, with partners in health science and spectral imaging domains Her recent publications highlight predictive modeling applications in sports injury detection, cluster analysis techniques, and educational data mining. Jauhiainen's work emphasizes the practical implementation of advanced analytics to solve real-world problems across multiple domains. She contributes to open-access research dissemination and participates in multidisciplinary teaching initiatives that integrate digital well-being data analysis.

Mikaela Bonsdorff vonView profile

Professor

• Healthy ageing
• Active ageing
• Gerontology
• +7 more

Mikaela Bonsdorff von is a Professor at the Faculty of Sport and Health Sciences , University of Jyväskylä, and leads the Social Gerontology Programme at Folkhälsan Research Center in Helsinki. Her research group investigates healthy and active aging from a life course perspective, integrating doctoral students, postdocs, and project researchers across multiple institutions including University of Helsinki, Tampere University, Karolinska Institutet, VU Amsterdam, and Lund University. Current affiliations: University of Jyväskylä, Folkhälsan Research Center Collaboration networks: Nordic and European aging research institutions Research focus: Multidisciplinary gerontology and public health Research interests center on healthy and active aging from a life course perspective, examining physical, psychological, and social functioning. Key areas include work ability, health trajectories, frailty development, adaptation to adversity, and lifestyle determinants of aging. The group employs diverse methodologies including longitudinal cohort studies and environmental gerontology approaches. Recent publications focus on social vulnerability in aging, early-life determinants of resilience, multimorbidity patterns , and digital health tools for frailty prediction. These studies demonstrate interdisciplinary integration of epidemiology, genomics, and social sciences to understand aging processes. The Paving the Way for Healthy Aging (FINeFI) project develops electronic frailty indices for early risk identification, while the Active University project explores community-building interventions for health promotion. Research outputs emphasize translational applications for preventive geriatrics and public health policy.

Kati SormunenView profile

Lecturer

• 21st-century learning
• inclusive pedagogy
• digitally supported learning
• +6 more

Kati Sormunen is a Lecturer at the University of Helsinki's Department of Education, specializing in inclusive pedagogy, computational thinking, and maker education. She leads the Helsinki research community of special educational needs (SEN) Leadership in Educational Contexts research group and contributes to the CreaTE - Creative Technology Education initiative. Her work bridges school, university, and industry collaborations through the Innokas Network. Doctoral Programme Supervisor, School, Education, Society, and Culture EU Code Week Ambassador since 2018 Research Focus: Sormunen develops models for invention pedagogy and investigates 21st-century learning in inclusive educational environments. Her research spans computational thinking, digitally supported learning, and methodological approaches to large-scale educational projects. Recent work explores epistemic doubt in AI education and technological competence in maker projects. Collaborations: Active in international academic networks, including the ORCID profile and the ISLS Annual Meeting (2025). Engaged in cross-institutional research with Boston College's Lynch School of Education (2024). Publications and Projects: With over 65 research outputs and 20 projects since 2011, her notable initiatives include the Academy of Finland-funded Playful Learning Center (2022–2025) and the AI & Kids project (2014–2026). She has presented at conferences like CSCL 2024 and contributes to journals such as Journal of Computer Assisted Learning and Frontiers in Education .

Ulla RichardsonView profile

Professor

• Technology-Enhanced Language Learning
• Experimental Psycholinguistics
• Speech Processing
• +3 more

Ulla Richardson is a Professor at the Centre for Applied Language Studies, part of the Faculty of Humanities and Social Sciences at the University of Jyväskylä. She serves as Vice Head of Department and holds a docentship in experimental psycholinguistics and speech processing at the Department of Languages. Richardson leads the UNESCO Chair on Inclusive Literacy Learning for All and the secretariat of the GraphoWORLD Network of Excellence, while also directing the multidisciplinary GraphoLearn (GraphoGame)/Ekapeli research team. Fields of Interest: Reading and writing skill development, dyslexia, phonology, speech processing, evidence-based technology in language learning, and cross-linguistic literacy interventions. Her research focuses on creating and validating digital learning environments like GraphoLearn (info.GraphoLearn.com), which supports reading and spelling skill development in 30 languages. She has conducted extensive randomized controlled trials in diverse contexts, including India and China, and collaborates on projects like LearnDigi (funded by the Academy of Finland) to study digitalization’s impact on learning. Her recent publications highlight trends in randomized trials, computational frameworks for literacy assessment, and adaptive learning tools for multilingual settings. Scientific Awards: UNESCO Chair on Inclusive Literacy Learning for All Richardson actively advises multidisciplinary teams, including her leadership in the GraphoLearn Rime intervention studies and collaborations with researchers like Heikki Lyytinen. Her work spans neurocognitive predictors of reading outcomes, phonological awareness training, and global literacy initiatives. She contributes to projects such as Lohkanlihkku (Sámi language literacy) and LearnDigi, emphasizing technology’s role in education.

• Applied Linguistics
• Language Assessment
• Educational Evaluation
• +7 more

Ari Huhta is a Professor at the Centre for Applied Language Studies at the University of Jyväskylä. His research focuses on applied linguistics , language assessment , and second language acquisition , with particular emphasis on diagnostic and dynamic assessment frameworks in foreign language education. Active member of the Applied Language Studies and Language Campus follow-up groups Collaborates with institutions like the Finnish National Agency for Education and Research Council of Finland His work integrates language technology and educational evaluation to innovate assessments for L2 writing , reading , and speaking . Recent projects include AI-driven diagnostic tools and automatic speaking evaluation systems. Key collaborations span projects such as Dynamic Diagnostic Language Assessment and ‘Broken Finnish’ , examining societal gatekeeping in language proficiency. His publications address assessment validity , stakeholder involvement , and technological mediation in learning processes.

Minna LakkalaView profile

Adjunct Professor

• Educational Psychology
• Technology in Education
• Collaborative Inquiry
• +5 more

Minna Lakkala serves as an Adjunct Professor (Title of Docent in Educational Psychology) at the University of Helsinki, conducting research within the Technology in Education Research Group. She also supervises the Doctoral Programme in School, Education, Society, and Culture. Beyond academia, she holds significant industry positions as Partner & Chairman of the Board at Heuristica Oy (since 1987) and previously served as Partner & CSO at TeamFluent Oy (2020-2024). Lakkala's academic foundation combines general psychology and computer science, with over 30 years of experience in educational ICT consultation and teacher training. Her 2010 doctoral thesis examined teachers' practices in scaffolding technology-enhanced collaborative inquiry. Her research spans evaluating pedagogical design solutions, creating infrastructures for knowledge practices, developing pedagogy for global competencies, modeling innovative schools, and examining teachers' ICT expertise. Her recent publications demonstrate a strong focus on contemporary educational technology challenges, including digital transformation in education, remote work infrastructures, AI ethics in teaching, and school mentoring models for digitalization. These works bridge theoretical research with practical applications across diverse educational contexts. Dlearn.Helsinki - Helsinki Challenge Science Competition Finalist (2017) Student paper price at the Computer-Supported Collaborative Learning 2002 Conference (2002) Lakkala has supervised numerous students including Cristina Valle de Vicente's Master's thesis (2024). She has led major projects like SELFIEforTEACHERS (2022-2023), iHub4Schools (2021-2023), and DETECT (2019-2022), contributing significantly to both national initiatives in Finland and international collaborations across Europe. She maintains active engagement in the academic community through extensive peer review, conference presentations, and professional development activities, demonstrating continued scholarly productivity and relevance through 2025.

Milica TodorovicView profile

Visiting Professor

• Machine Learning
• Materials Science
• Quantum Mechanics
• +6 more

Milica Todorovic is a Visiting Professor at Aalto University's Department of Applied Physics , leading machine learning research within the Computational Electronic Structure Theory (CEST) group. Her work bridges quantum mechanical simulations and machine learning algorithms to optimize material functionality, particularly for solar cell components and organic-inorganic interfaces . Research Interests include: Data-driven materials science Active learning for molecular datasets Bayesian optimization in atomic structure prediction Quantum simulations of surfaces and adsorbates Thermodynamic property modeling for atmospheric molecules Article Trends (2017-2025) show focus on machine learning applied to materials science , with subfields spanning bayesian optimization , conformational analysis , and density functional theory . Key collaborations include Patrick Rinke and Hanna Vehkamäki . Activities include organizing workshops like the Young Researcher’s Workshop on Machine Learning for Materials Science (2019) and International Workshop on Machine Learning for Materials Science (2018).

• Deep Learning
• Medical Imaging
• Computer Science
• +3 more

Jaakko Sahlsten is a Postdoctoral Researcher at the Department of Computer Science, Aalto University . His work focuses on applying deep learning and Bayesian methods to medical imaging challenges, particularly in radiotherapy and VR-based image manipulation . He collaborates with interdisciplinary teams across oncology, dentistry, and computational biology . Key Research Areas : Medical image segmentation, uncertainty quantification, VR applications, diabetic retinopathy analysis Methodologies : Deep learning, DualUNet architectures, large language models (DR-GPT), Bayesian modeling Clinical Domains : Oropharyngeal cancer, head and neck tumors, dentistry, diabetic retinopathy His recent publications analyze 3D medical image manipulation in VR , AI-driven tumor segmentation , and uncertainty estimation in radiotherapy. He actively explores model robustness and reproducibility in healthcare AI applications, with collaborations spanning institutions in radiation oncology and medical imaging .

• Competitive Dynamics
• Organizational Decision Making
• Data Analytics
• +3 more

Jukka Luoma serves as an Associate Professor in the Department of Industrial Engineering and Management at Aalto University School of Business. His research bridges competitive dynamics, behavioral strategy, and data-driven organizational decision making, with publications in premier journals including Strategic Management Journal , Organization Science , and Harvard Business Review . He contributes to academic discourse as an editorial board member for Long Range Planning and Strategic Organization . Luoma's research explores managerial cognitions and organizational routines underlying competitive interactions, employing computational modeling and experimental methods. Recent work examines AI integration in strategic decision processes, crisis management during pandemics, and data valuation frameworks in organizations. His studies reveal how feedback-based learning shapes competitive patterns and how cognitive biases influence market entry responses. Analysis of his 2021-2025 publications shows increasing convergence of digital transformation with core strategic management themes. Key trends include AI's role in organizational knowing (2025), non-linear crisis progression (2022), and the cognitive foundations of data-driven decisions (2023). His retailing and mobile gaming industry studies demonstrate contextual application of theoretical frameworks. Luoma's recognition includes: Tuta Education Award (2021) for teaching excellence in the IEM program Teacher of the Year by Prodeko Guild (2020) Best Paper Award at EURAM Strategic Management SIG (2014) Academy of Management Best Paper Proceedings (top 10%, 2012) Teaching Developer of the Year at Aalto School of Business (2016) Teacher of the Year at Helsinki University of Technology (2010) While specific advising details are undocumented, his editorial roles and extensive publication record indicate significant mentorship contributions. His research program demonstrates sustained funding through Aalto University support, with recent work addressing pandemic responses and AI integration challenges. No dedicated research labs or specialized teams are mentioned in available materials, though his collaborative publications suggest cross-institutional partnerships in strategic management research.

Kalle ElfvengrenView profile

Researcher

• Decision Sciences
• Technology and Innovation Management
• Digital Twins
• +5 more

Kalle Elfvengren is a researcher at the Lappeenranta-Lahti University of Technology (LUT) within the School of Engineering Sciences , focusing on Decision Sciences and Technology and Innovation Management . His work bridges computational methods with practical problem-solving across industries. Research Trends : Elfvengren's publications highlight expertise in digital twins, RFID technologies, and AI applications for service needs assessment. He explores how these innovations transform manufacturing, healthcare, and logistics while addressing sustainability and pandemic-related challenges.

Hannu AronenView profile

Professor

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• Neuroimaging
• +3 more

Hannu Aronen is a Professor and Chair of Radiology at the University of Turku since April 2006, and Chief Radiologist at Turku University Hospital since January 2009. He holds degrees including an M.D. from the University of Helsinki (1983), M.Sc. (Eng) from Helsinki University of Technology (1988), and a Doctor of Medical Sciences (1990). He became a Docent in Radiology (1995) and Functional Medical Imaging (1998). His research focuses on magnetic resonance imaging (MRI) , particularly in neuroimaging and prostate cancer diagnostics. Notable contributions include advancements in perfusion/diffusion MRI for stroke and glioma characterization, and the development of MRI protocols for prostate cancer detection using machine learning. He has led the Functional Brain Imaging Unit (2002–2007) as part of the Helsinki Brain Research Centre, funded by the Academy of Finland. Research Highlights: His work spans MRI methodological innovations, such as susceptibility contrast perfusion and fMRI analysis, and collaborations with institutions like Harvard Medical School and the Turku PET Centre. Over 800 prostate MRI scans have been analyzed in his projects, leading to 17 peer-reviewed articles on prostate cancer imaging accuracy. Current research emphasizes biparametric MRI protocols and AI-driven analysis for tumor detection. Grants & Collaborations: His work has been supported by the Academy of Finland and industry partnerships. Key collaborations include projects with Prof. Leif Østergaard (Aarhus University) on perfusion MRI and Prof. Synnöve Carlson on brain network imaging. Recent studies involve the Turku PET Centre and multinational trials in prostate cancer diagnostics.

Zheying ZhangView profile

Lecturer

• Requirements Analysis
• Domain Modelling
• Quality Assurance
• +10 more

Zheying Zhang is a Lecturer at Tampere University within the Faculty of Information Technology and Communication Sciences , Department of Computing Sciences . She holds a Ph.D. in Computer Science and Information Systems from the University of Jyväskylä (2004) and was awarded a Docent (Adjunct Professor) title in Software Development from the University of Tampere (2013). Education: Ph.D. (2004), Docent (2013) Her research focuses on Requirements Engineering , with specific interests in Requirements Analysis Domain Modelling AI-Assisted Requirements Management Software Quality Assurance Process Improvement Data-Driven Software Development Medical Device Software Current Master's thesis topics include AI for Software Engineering, DevOps pipelines, and cross-disciplinary software ethics. Recent publications highlight trends in AI applications for requirements management, software evolution analysis , and accessibility testing . She actively supervises PhD candidates like Xiaozhou Li and Wenhui Lu, with works spanning open-source projects and medical software quality. Scientific Contributions: 54 research outputs (2003-2025), including 3 2025 conference papers

Miika MarttunenView profile

Professor

• Computer-Supported Collaborative Learning
• Argumentation Skills
• Digital Literacy
• +3 more

Miika Marttunen is a Professor at the University of Jyväskylä's Faculty of Education and Psychology, Department of Education. His research focuses on computer-supported collaborative learning, argumentation, and digital literacy, with notable contributions to projects like ARONI and DETECT. He supervises M.A. and PhD students and holds administrative roles including membership in the University Collegium and the Faculty Council. His research interests emphasize online inquiry skills, collaborative writing, and interventions to enhance source evaluation. Recent projects include developing assessment tools for argumentative inquiry and testing pedagogical methods for detecting disinformation. He has extensive experience with quasi-experimental designs in educational technology contexts. Publications highlight advancements in collaborative learning dynamics, source credibility evaluation, and multimodal argumentation. Key contributions include analyzing online inquiry phases, interventions for adolescents, and role-play simulations in social work education. His work bridges theoretical research with practical educational tools and interventions. Marttunen leads the InterLearn research team within the Centre of Excellence for Learning Dynamics, focusing on individual responses to educational support. He also contributes to LearnDigi, examining digitalization's impact on learning and interaction.