جست‌وجوی استاد و پژوهشگر

Antti Rasilaمشاهده پروفایل

استاد مهمان

• Complex analysis
• Partial differential equations
• Computers in education
• +۶ مورد دیگر

Antti Rasila is a Visiting Professor in the Department of Mathematics and Systems Analysis at Aalto University's School of Science. His research spans complex analysis, partial differential equations, numerical analysis, and computers in education, with significant contributions to geometric analysis and mathematical geodesy. His educational background includes a Doctor of Philosophy (Filosofian tohtori) and Licentiate of Philosophy (Filosofian lisensiaatti), both in Mathematics from the University of Helsinki, awarded on June 17, 2005 and November 21, 2003 respectively. Rasila's research interests focus on complex analysis, particularly harmonic and polyharmonic mappings in the complex plane, boundary behavior of functions, and conformal mappings. His work also extends to mathematical geodesy and educational technology applications in mathematics education. He has made significant contributions to the understanding of Banach spaces, unit disk properties, and geometric function theory. His publication record shows consistent output since 2006 with 86 research outputs, including journal articles, conference proceedings, books, and chapters. His most recent work demonstrates continued activity in mathematical research with publications extending to 2025. His research shows strong connections between pure mathematical theory and practical computational applications, particularly in conformal mappings and geodesy. Rasila has held external academic positions including Guest Professor at Hengyang Normal University (2015-2018), Docent at the University of Vaasa (since 2013), and Lecture Professor at Hunan Normal University (2012-2015). He has supervised three theses and has been active in academic hosting, serving as host for multiple visiting researchers from 2013-2017. His research project 'Älykkäät oppimisympäristöt MS' (Intelligent Learning Environments) ran from 2018-2020 as principal investigator.

• Digital Inclusion
• Ageing and Digitalization
• Human-Computer Interaction
• +۵ مورد دیگر

Laura Pajula is a doctoral researcher at the Centre of Excellence in Research on Ageing and Care, affiliated with the Faculty of Humanities and Social Sciences at the University of Jyväskylä. She actively contributes to the DigiIn-project (Towards Socially Inclusive Digital Society: Transforming Service Culture), funded by the Strategic Research Council. Her work focuses on the intersection of digital public services and older adults' inclusion in society. Doctoral Researcher, Centre of Excellence in Research on Ageing and Care Project Member, DigiIn-project Part-Time Teacher (past role) Doctoral Student, University of Jyväskylä Laura’s research explores the design of digital public services for and with older adults, emphasizing mental access, peer support, and non-formal learning. She investigates how societal digitalization impacts elderly populations and identifies strategies to bridge digital divides through collaborative design and stakeholder engagement. Her publications highlight challenges in digital inclusion, including ambivalent user experiences, the role of warm experts, and systemic gaps in user involvement practices. Articles span topics from societal digital policy to practical implementations of digital support systems. Ella and Georg Ehrnrooth Foundation Grant (2025)

• Smart Cities
• Open Data
• Mobile Applications
• +۳ مورد دیگر

Hendrik Hielkema is a doctoral student and active researcher at Aalto University's School of Business, focusing on the intersection of technology, urban development, and societal transformation. His work spans open data applications, smart city innovation, and the cognitive impacts of digital learning. Education : Kauppatieteiden maisteri (Master of Science in Economics and Business Administration) in Business Technology from Helsinki School of Economics (now part of Aalto University). Hielkema’s research explores how open data and mobile technologies drive competitive advantage and urban development. He has contributed to academic discourse on smart city initiatives, particularly in Helsinki, and examined the societal implications of internet-driven changes in cognition and work. His publications highlight expertise in computer science, economics, and social sciences, with a focus on digital infrastructure and educational technology. Collaborations span interdisciplinary teams, including co-authors like Hoang, Deng, and Kiravuo. Scientific Awards : Award from Aalto University (2009) Hielkema actively participates in research networks related to UN Sustainable Development Goals, particularly in education and technology. His work has garnered significant citations (93 Scopus citations) and Mendeley readership (230+), indicating broad academic and policy relevance.

• Inverse Problems
• Statistical Learning
• Machine Learning
• +۴ مورد دیگر

Abhishake Abhishake is a Postdoctoral Researcher at the Department of Computational Engineering, LUT School of Engineering Sciences, focusing on inverse problems and statistical learning. His research spans mathematics, machine learning, and computational optimization. 2023–present: Postdoctoral Researcher, LUT University, Finland 2021–2022: Postdoctoral Researcher, Technische Universität Berlin, Germany 2018–2021: Postdoctoral Researcher, University of Potsdam, Germany His research interests include inverse problems, regularization methods, and machine learning. He has published extensively on Tikhonov regularization, nonparametric testing, and multi-penalty strategies. His work bridges mathematical theory with applications in pharmacometrics and statistical learning. Key trends in his publications (16 total) include inverse problems in Hilbert scales, regularization techniques for nonlinear statistical learning, and multi-task learning frameworks. Subfields cover oversmoothing penalties, manifold regularization, and convergence analysis.

• Information Systems
• Human-Computer Interaction
• Social Sustainability
• +۵ مورد دیگر

Marianne Kinnula is a Professor in Human-centred Design and Digitalisation at the University of Oulu, affiliated with the Faculty of Information and Electrical Engineering. She serves as the research unit vice-leader of INTERACT, focusing on bridging information systems and human-computer interaction with interdisciplinary approaches. University of Oulu Faculty of Information and Electrical Engineering INTERACT Research Unit Her research emphasizes the social sustainability of technology , examining social inclusion, empowerment, and ethical stances in technology development across individual, organizational, and societal levels. Key areas include design citizenship , computational empowerment of children , and critical design methodologies . Her work often involves participatory design projects with children and marginalized communities. Recent publications highlight trends in AI ethics for youth , democratizing technology , and design futuring . She explores how children interact with emerging technologies like metaverse digital twins and ChatGPT, advocating for inclusive design practices and ethical frameworks. marianne.kinnula@oulu.fi +358400482855

Paavo Penttiläمشاهده پروفایل

استاد مهمان

• Wood Material Science
• Cellulose Research
• X-ray Scattering
• +۵ مورد دیگر

Paavo Penttilä serves as a Visiting Professor at Aalto University, specializing in Wood Material Science with a focus on structural analysis of hierarchical cellulosic materials using X-ray and neutron scattering techniques. His research bridges fundamental material science with practical applications in sustainable bioproducts. His primary research interests include Wood-Water Interactions , Cellulose Microfibril Structures , Nanocellulose Characterization , and Advanced Scattering Methodologies . He pioneers the integration of machine learning with scattering data analysis to unravel nanoscale moisture dynamics and structural changes in wood. Recent work emphasizes lignin's role in moisture-sensitive nanostructures, cellulose deaggregation mechanisms, and computational modeling of biopolymer interactions. Dr. Penttilä's publication trends reveal a decisive shift toward data-intensive approaches in materials characterization, with 12 of his 15 most recent articles (2023-2025) incorporating machine learning or advanced computational modeling. His work consistently targets fundamental questions in wood nanostructure while addressing practical challenges in sustainable material design. He received the prestigious Hayashi Jisuke Award 2022 from The Cellulose Society of Japan, recognizing his transformative contributions to scattering methodologies for cellulosic material analysis. This award underscores his international impact in advancing structural characterization techniques for renewable biomaterials.

• Mechanical Engineering
• Arctic and Marine Technology
• Process Modeling
• +۳ مورد دیگر

Dr. Mahsa Khorasani is a Postdoctoral Researcher at Aalto University's Department of Energy and Mechanical Engineering. She actively contributes to the Marine and Arctic Technology research group, focusing on advanced analytics in engineering systems and social media data. Current affiliation: Aalto University Department: Energy and Mechanical Engineering Research group: Marine and Arctic Technology Her research spans multiple domains including: Mechanical Engineering: Anomaly detection in machinery plants using Bi-LSTM-DVAE frameworks. Arctic Operations: Process modeling and qualitative analysis of icebreaker operations. AI & Social Media: Multi-view learning for autism detection and bipolar disorder identification on social media. Data Science: Concept drift detection in business processes via trace embedding techniques. Recent publications highlight her expertise in predictive maintenance, Arctic logistics, and mental health diagnostics through computational methods. Her laboratory affiliations include Aalto University's Marine and Arctic Technology group, where she applies cutting-edge machine learning techniques to complex engineering and social challenges.

Jussi Heinonenمشاهده پروفایل

دانشیار

• Igneous Petrology
• Geochemistry
• Petrology
• +۷ مورد دیگر

Jussi Heinonen is a Docent and Geochemistry and Petrology Supervisor for the Doctoral Programme in Geosciences at the University of Helsinki's Department of Geosciences and Geography, Faculty of Science. He also serves as a visiting researcher and research leader at Åbo Akademi University, demonstrating his significant standing in the Finnish academic community. Dr. Heinonen's research focuses on igneous petrology, thermodynamics of layered intrusions, continental flood basalts and large igneous provinces, and Earth's mantle and mantle plumes. His fieldwork spans globally significant geological formations including the Duluth igneous complex in North America, the ancient ~2.44 billion-year-old layered intrusions of Finnish Lapland, and the Karoo continental flood basalt province extending across Dronning Maud Land in Antarctica and Mozambique in southern Africa. His technical expertise encompasses the full spectrum of petrological analysis, from fundamental petrology and bedrock mapping to advanced geochemical techniques including major and trace element geochemistry, mineral chemistry, and multiple isotope systems (Sr, Nd, Pb, Os, He, O). He utilizes sophisticated equipment such as polarizing microscopes, scanning electron microscopes (SEM), electron probe micro-analyzers (EPMA), and various mass spectrometers (ICP-MS, TIMS). Dr. Heinonen's recent publications reveal a strong focus on magma evolution processes, layered intrusion formation, and the connections between geological research and practical applications. His work shows consistent productivity with publications extending into 2025, demonstrating ongoing active research. Teacher of the year 2016, second place Dr. Heinonen has supervised numerous doctoral students through the Doctoral Programme in Geosciences and has secured significant research funding through projects including PALIN (2016-2021), MARZ (2012-2015), and AMANDA (2006-2010). He maintains an active presence in the academic community with 182 recorded activities including peer review, conference participation, and public engagement through 65 media appearances where he communicates geological concepts to broader audiences.

Teemu Sarapistoمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Teemu Sarapisto is a Doctoral Researcher at the Department of Computer Science, University of Helsinki. His research focuses on Computer Science and Artificial Intelligence with an emphasis on Machine Learning , Time-Series Analysis , and Computer Vision . Recent publications highlight work on self-service restaurant systems (2022) and masked autoencoders for time-series data (2024). Research involves deep learning applications in food identification and high-dimensional data analysis . He is actively involved in the LUMI AI Factory - Service Center project (2025-2028) as a participant, collaborating with European Commission-funded researchers in AI systems development.

Joseph Attiehمشاهده پروفایل

پژوهشگر

• Languages
• Computer and Information Sciences
• Natural Language Processing (NLP)
• +۹ مورد دیگر

Joseph Attieh is a Doctoral Researcher at the University of Helsinki , affiliated with the Faculty of Arts and the Department of Digital Humanities . He is part of the Doctoral Programme in Language Studies , focusing on interdisciplinary research at the intersection of Languages and Computer and Information Sciences . PhD candidate in Digital Humanities ORCID: 0000-0001-6841-9877 Email: joseph.attieh@helsinki.fi His research spans Natural Language Processing (NLP) , Machine Translation , and Artificial Intelligence , with a particular emphasis on multilingual systems , sustainable language technology , and privacy-preserving methods . Key themes include: Modular translation architectures and their generalization Federated learning for privacy in face recognition Embedding isotropy optimization in text classification Low-resource language processing and synthetic data generation His recent work, including collaborations with teams like NordicsAlps and GreenNLP, highlights contributions to open-source frameworks and ethical AI. While no specific scientific awards are mentioned, his projects are supported by major grants from the Research Council of Finland and European Research Council .

• Computational Linguistics
• Natural Language Processing
• Cognitive Science
• +۴ مورد دیگر

Tommi Buder-Gröndahl is a Postdoctoral Researcher at the Department of Digital Humanities within the Faculty of Arts at the University of Helsinki. His interdisciplinary research bridges cognitive science, computational linguistics, and philosophy, with a specific focus on the interpretation and evaluation of large language models from linguistic and philosophical perspectives. His primary research interests include: Computational Linguistics and Natural Language Processing Linguistic Interpretation of Large Language Models Cognitive Aspects of Language and Mathematical Reasoning Philosophy of Language and Linguistic Representation Semantic Analysis and Model Interpretability Formal Semantics and Syntax-Semantics Interface Dr. Buder-Gröndahl's recent work has focused on evaluating the strong generative capacity of large language models, parameter-free probing techniques, and foundational challenges in linguistic interpretation. His research investigates how large language models represent linguistic structures and the implications for both theoretical linguistics and practical applications. His publications span venues including Philosophical Psychology, IEEE Access, and the Proceedings of the Association for Computational Linguistics. He has made significant contributions across multiple domains, from theoretical investigations into mathematical content to practical approaches for synthetic data generation in survey response analysis. His work demonstrates methodological innovation while addressing fundamental questions about language representation in artificial intelligence systems. Dr. Buder-Gröndahl is actively engaged in the academic community through peer review activities for journals such as Synthese, Computational Linguistics, and F1000Research. He has delivered invited talks at prestigious institutions including Rutgers State University and Universität Konstanz, sharing insights on large language models for linguists and the evaluation of strong generative capacity. Currently, he leads the Research Council of Finland-funded project 'Kieliteknologian johtavien menetelmien kielitieteellinen tulkinta' (Linguistic interpretation of leading methods in language technology), which runs from September 2022 to August 2025. This project represents a systematic investigation into how contemporary language technologies can be understood through traditional linguistic frameworks.

• Cognitive Science
• Statistical Learning
• Speech Processing
• +۳ مورد دیگر

Saara Kaskivuo is a Doctoral Researcher at the Department of Digital Humanities, Faculty of Arts, University of Helsinki. Her research focuses on cognitive science, particularly statistical learning in speech processing and neurobiology of language. Research interests include prosody, computational modeling, and adult language acquisition Active in academic conferences (e.g., BAPS 2024, Society for the Neurobiology of Language 2023) Supervised Master's thesis for Adriano Pomarè

Varpu Mehtoمشاهده پروفایل

پژوهشگر

• Educational Sciences
• Maker Education
• Materiality in Learning
• +۳ مورد دیگر

Varpu Mehto is a Grant-funded Researcher at the Department of Education , University of Helsinki, affiliated with the Helsinki Institute of Sustainability Science (HELSUS) . Her work focuses on materiality in educational contexts, maker pedagogies, and sustainability science. She holds a Doctoral Thesis (2024) exploring materiality in Finnish classrooms. Research Projects include the 'Antroposeenin lapset' project (2022–2025) , exploring multispecies ethics and sustainability through collaborative design. She has organized/co-presented at conferences like ECQI European Congress of Qualitative Inquiry (2024) and Sustainability Science Days (2023). Key Contributions include developing methodologies like 'Making-Process Rugs' for tracing knowledge creation and analyzing sociomaterial dynamics in learning. Her work bridges art, environmental science, and educational practices. Awards include the Best JURE Paper Award (2020) for research on collaborative invention projects in secondary schools. Teaching & Outreach involves integrating material prototyping and design thinking into education, with a focus on interdisciplinary and multispecies approaches to sustainability.

Anna Sundbergمشاهده پروفایل

مدرس ارشد

• Wood Chemistry
• Paper Chemistry
• Nanocellulose
• +۳ مورد دیگر

Anna Sundberg is a Senior Lecturer in the Department of Wood and Paper Chemistry at Åbo Akademi University’s Faculty of Science and Engineering. Her research focuses on wood and paper chemistry, with expertise in nanocellulose, sustainable materials, and material science. She contributes to UN Sustainable Development Goals through her work on eco-friendly materials and chemical processes. Her laboratory, the Laboratory of Natural Materials Technology, develops technologies for a sustainable future. Research interests include nanocellulose applications, polymer compatibilization, fungal degradation of wood components, and improving paper properties through additives and processing techniques. Her work bridges fundamental chemistry with industrial applications, addressing challenges in pulp production, material strength, and environmental sustainability. Recent publications highlight advancements in spectrometric analysis for pulp extractives, fungal degradation studies, and polymer-cellulose composites. Her interdisciplinary approach combines machine learning, microscopy, and chemical engineering to innovate in material characterization and process optimization. Sundberg actively supervises BSc, MSc, and PhD students in these areas, contributing to the next generation of researchers in sustainable materials science.

• Drug Discovery
• Pharmaceutical Sciences
• Antibiotic Resistance
• +۴ مورد دیگر

Ida Alanko is a Researcher at Åbo Akademi University's Faculty of Natural Sciences and Technology, Department of Pharmacy. Her work focuses on pharmaceutical sciences with particular emphasis on drug discovery, antimicrobial resistance, and molecular interactions between pathogens and host systems. She contributes significantly to research addressing global health challenges, particularly those related to the UN Sustainable Development Goals. Alanko's research expertise spans multiple critical areas of pharmaceutical sciences. Her fingerprint reveals deep engagement with topics including Zika Virus, NS2B-NS3 protease inhibitors, staphylococcal superantigen-like proteins (SSL5), and immune evasion mechanisms involving Gelatinase B (MMP9) and phagocytosis. Her work bridges computational approaches with experimental validation in drug development. Her publication record demonstrates consistent productivity with significant contributions across multiple high-impact journals. Analysis of her research trajectory shows an evolution from fundamental biochemical investigations of bacterial pathogenesis to sophisticated computational drug discovery approaches targeting viral and bacterial threats. Her work spans both antibacterial and antiviral research domains, with particular focus on combating drug-resistant pathogens. Alanko has contributed to highly cited collaborative work, including the 2020 review on Molecular Dynamics Simulations which has garnered nearly 400 citations and been referenced in patents. Her research has attracted attention across academic and professional networks, with hundreds of readers on platforms like Mendeley and mentions across social media. Her collaborative network spans multiple institutions and countries, with significant research partnerships evident in her co-authorship patterns. She works within interdisciplinary teams that combine expertise in microbiology, biochemistry, computational modeling, and pharmaceutical development to address complex health challenges.