جست‌وجوی استاد و پژوهشگر

Matti Hämäläinenمشاهده پروفایل

استاد

• Neuroscience
• Magnetoencephalography
• Auditory Cortex
• +۴ مورد دیگر

Matti Hämäläinen is a Professor at the Department of Neuroscience and Biomedical Engineering , Aalto University. He is a leading expert in Magnetoencephalography (MEG) , with a focus on sensor design, neural connectivity, and clinical applications. His work contributes to understanding brain disorders like autism and epilepsy. Doctorate in Materiaalifysiikka, Teknillinen Korkeakoulu (1989) Diplomi-insinööri in Teknillinen Fysiikka, Teknillinen Korkeakoulu (1983) Hämäläinen's research spans MEG technology , auditory and visual cortex dynamics , and functional connectivity analysis . He develops open-source tools like MNE-Python and HNN-Core for neural data interpretation. Scientific Awards : None explicitly mentioned. He has led projects such as NIH Scalable Software for MEG/EEG and Device-Independent Real-Time MEG EEG Source Localization , with media coverage in outlets including Massachusetts General Hospital and Targeted News Service.

Rafael Capillaمشاهده پروفایل

استاد

• Software Architecture
• Architectural Knowledge
• Software Product Line Engineering
• +۵ مورد دیگر

Rafael Capilla is a Professor of Software Engineering at Rey Juan Carlos University of Madrid and an Adjunct Professor at LUT School of Engineering Sciences. His research focuses on software architecture, architectural knowledge, software product line engineering, dynamic variability, technical debt, software sustainability, and Industry 4.0 architectures. He has conducted international collaborations across Europe, Latin America, and Asia, with over 80% of his collaborators from foreign institutions. Research Interests : Software Architecture, Technical Debt, Dynamic Variability, Software Sustainability, Industry 4.0 Quality Evaluation Recent Publications highlight trends in sustainable software practices, Industry 4.0 systems, and AI-assisted architectural decision-making. His work explores intersections between technical debt identification, serverless computing economics, and runtime variability models.

Sampo Muranenمشاهده پروفایل

پژوهشگر

• Plant Biology
• Microbiology
• Virology
• +۳ مورد دیگر

Sampo Muranen is a Doctoral Researcher at the University of Helsinki , affiliated with the Faculty of Biological and Environmental Sciences and the Organismal and Evolutionary Biology Research Programme . His research spans plant biology, genetics, and physiology. Research Focus : Plant cell dynamics, cellulose structure, hormonal regulation in tree architecture, and genetic loci in birch trees. Projects : Involvement in Future Forests (2025-2029) and the Center of Excellence in Tree Biology (2024-2026). Publications : Recent work explores Arabidopsis root development, birch tension wood cellulose, strigolactone-auxin interactions, and birch proprioceptive genetics. Contact : sampo.muranen@helsinki.fi

Pasi Hyytiäinenمشاهده پروفایل

پژوهشگر

• Theology
• Biblical Studies
• Textual Criticism
• +۳ مورد دیگر

Pasi Hyytiäinen is a Postdoc researcher and Grant-funded researcher at the Faculty of Theology , focusing on textual criticism and digital humanities. His work integrates computational methods with biblical scholarship, particularly analyzing New Testament manuscripts. Current affiliation: Faculty of Theology Active projects: EXPRECCE, The Spread of Early Christianity in Cultural Evolutionary Perspective Research interests include: Textual Criticism: quantifying relationships between manuscripts Network Analysis: mapping co-occurrence of theological concepts Cultural Evolution: studying adaptive changes in early Christian texts Software Development: creating tools like Relate for textual scholarship Article trends highlight interdisciplinary approaches combining theology, linguistics, and computational modeling. His work emphasizes quantitative methods, manuscript classification, and semantic drift in biblical texts. Key projects involve cultural evolutionary perspectives on early Christianity, analyzing martyr narratives, and outgroup hostility. He has presented extensively on textual drift and software tools at international conferences. Collaborations include partnerships with researchers like Nikki, Luomanen, and Söderholm, contributing to teams exploring manuscript evolution and cultural dynamics in religious traditions.

• Human-Computer Interaction
• Climate Policy Informatics
• Sustainable Design
• +۳ مورد دیگر

Katie Berns is a Postdoctoral Researcher at Aalto University's Department of Design within the School of Arts, Design and Architecture. She contributes to the NODUS Research Group with primary focus on human-computer interaction and sustainable technology solutions. Current affiliation: Aalto University Academic position: Researcher Research group: NODUS Contact: katie.berns@aalto.fi Research Focus: Berns bridges technology innovation with environmental sustainability through three key areas: AI and data science applications for climate policy Design of configurable technologies for community initiatives Human-computer interaction in domestic sustainability contexts Her recent publications demonstrate collaboration across multidisciplinary teams investigating climate policy dashboards, utopian design frameworks, and activist food-sharing technologies. While no formal awards are documented, her work emphasizes societal impact and participatory design approaches.

Christoph Finkمشاهده پروفایل

پژوهشگر

• Social geography
• Economic geography
• Urban geography
• +۴ مورد دیگر

Christoph Fink is a visiting researcher at the Digital Geography Lab and the Institute of Sustainability Science (HELSUS) at the University of Helsinki. He is affiliated with the Department of Geosciences and Geography and specializes in GIScience, digital geography, and urban accessibility research. His work focuses on age-aware transport modeling, open data applications, and critical cartography. Scientific Fields: Social geography, GIScience, digital geography, urban geography Projects: URBANAGE (age-friendly cities), CRITICAL (critical reading), illegal wildlife trade analysis His recent research explores intersections between urban mobility , green infrastructure , and data-driven policy . Key outputs include the Helsinki Region Travel Time Matrix dataset, which addresses interpersonal differences in transportation modeling. He has presented at international conferences like Mobile Tartu 2022 and contributed to policy reviews in smart city ethics. Award: 1st Prize ICC2019 Map Awards for digital geography innovations Media: Frequent contributor to biodiversity crisis and hunting policy analyses

Ali Abdollahzadehمشاهده پروفایل

پژوهشگر ارشد

• Medical Image Analysis
• Biophysics
• Diffusion MRI
• +۶ مورد دیگر

Ali Abdollahzadeh is an Academy Research Fellow at the A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, within the Faculty of Health Sciences. His research focuses on medical image analysis and biophysics, particularly in neuroimaging techniques like diffusion MRI and electron microscopy. He develops advanced computational tools for analyzing white matter ultrastructures and neurovascular interactions. Key projects include studying the role of meningeal lymphatics in neuroinflammation and migraine mechanisms, as well as creating open-source software like SproutAngio and gACSON for bioimage informatics. His work bridges biophysics, computational neuroscience, and clinical applications. Recent studies explore axonal remodeling under stress, neurovascular dynamics, and deep learning applications in neurological disease analysis. He collaborates with the Computational Neuroanatomy Lab and Multiscale Imaging Group, advancing interdisciplinary research in brain imaging and neurodegenerative disorders. Publications highlight innovations in segmentation algorithms, 3D imaging techniques, and translational studies linking microscopic findings to clinical outcomes. His research aims to enhance understanding of CNS structure-function relationships and improve diagnostic tools through advanced imaging methodologies.

• Artificial Intelligence
• Machine Learning
• Programming Education
• +۳ مورد دیگر

Nicola Dainese is a Doctoral Researcher in the Department of Computer Science at the School of Science. His work focuses on the intersection of artificial intelligence and programming education, leveraging large language models (LLMs) to improve code generation, feedback mechanisms, and symbolic regression. Current projects include STN LITERACY (2023-2026) and FCAI Flagship (2020-2022, extended to 2026). Collaborations span institutions like the Finnish Center for Artificial Intelligence (FCAI) and international research teams. Research interests include: Large Language Models (LLMs) for code generation and feedback Model-based reinforcement learning in programming education Symbolic regression and function discovery via AI Educational technology for student assessment Open-source language models and ethical AI applications Recent publications highlight trends in leveraging LLMs for programming feedback, code repair, and symbolic regression. Key subfields include Monte Carlo Tree Search, prompt engineering, and vision-language models for AI planning. Active project member in DATALIT , addressing data literacy for responsible decision-making. Contributed to benchmarking studies on educational program repair and code world modeling.

• Bioimage analysis
• Live cell imaging
• Quantitative cell biology
• +۷ مورد دیگر

Joanna Pylvänäinen is a Project Researcher at the Faculty of Science and Engineering, Åbo Akademi University, specializing in Biochemistry and Cell Biology. She is affiliated with the InFLAMES flagship program (Innovation Ecosystem based on the Immune System) focusing on health-related solutions. Her research interests include: Bioimage analysis Live cell imaging Quantitative cell biology Software development for life science applications Flow dynamics Cancer cell biology Image analysis software Cell tracking Microfluidics 4D microscopy The research articles and publications cover a broad range of topics in image analysis, software development for life sciences, cell tracking, and microfluidics applications in biological research. The datasets she has contributed to focus on these same areas, showing a consistent research trajectory in computational biology and advanced imaging techniques. Joanna is active in developing tools and platforms for life scientists, with a particular focus on making bioimage analysis more accessible and on reducing technical challenges in live cell imaging. She is also interested in addressing phototoxicity issues and improving workflow efficiency in quantitative cell biology research. Her work includes contributions to educational tools like Ocul-AR for microscopy learning, Fast4DReg for microscopy data registration, and CellTracksColab for cell tracking data analysis. She is involved in the development of TrackMate 7 for integrating state-of-the-art segmentation algorithms into tracking pipelines.

• Phosphoproteomics
• Proteostasis
• Parkinson's Disease
• +۵ مورد دیگر

Ye Hong is a Project Researcher at Åbo Akademi University's Faculty of Natural Sciences and Technology, affiliated with the Turku Life Sciences Centre and the InFLAMES flagship program focused on immune system innovation ecosystems. Their research bridges computational biology and neurodegenerative disease studies. Key research interests include: Phosphoproteomic analysis of signaling pathways Proteostasis regulation in Parkinson's disease Zebrafish larvae as model organisms for anxiety studies Development of automated bioinformatics pipelines Identification of Parkinson's disease diagnostic biomarkers Functional analysis of LRRK2-G2019S mutations Recent work demonstrates expertise in combining mass spectrometry with computational workflows to analyze protein phosphorylation patterns and translational repression in neurodegenerative contexts. Award highlights: Nordic Life Sciences Days prize (2019)

Rupesh Vyasمشاهده پروفایل

دانشیار

• Information Design
• Interface Design
• Interaction Design
• +۵ مورد دیگر

Dr. Rupesh Vyas is an Associate Professor at Aalto University , affiliated with the School of Arts, Design and Architecture and the Department of Art and Media . With expertise in information design, data visualization, and interface design, he bridges design principles with scientific data representation across disciplines including genetics, urban planning, and public health. Research Interests : Vyas specializes in creating intuitive visual systems for complex data, focusing on genetic research, smart city infrastructure, and public service design. His work applies wayfinding metaphors and interactive tools to make genomic data, urban mobility patterns, and cultural information more accessible. Scientific Awards and Recognition : Best Smart City Information Design and Signage for Gujarat Financial and Technology City (2015) Best Cultural Design award by Design Expo, Faculty Summit (2013) Publications Trends : His recent articles emphasize interdisciplinary applications of visualization techniques, spanning genetic research (2024), Finnish genome mapping (2023), and smart city systems (2021). Key themes include network analysis, equality in design, and biomedical data representation. Academic Contributions : Vyas has developed tools like LAVAA for disease association visualization, created interactive platforms for Finland’s genetic ancestry, and designed wayfinding systems for urban data. His work impacts both academic research and real-world applications in healthcare, genetics, and city planning.

• Machine Learning
• Object-Centric Learning
• Deep Learning
• +۵ مورد دیگر

Rongzhen Zhao is a Doctoral Researcher at Aalto University's Department of Electrical Engineering and Automation, affiliated with the Robot Learning research group. Their work focuses on machine learning and object-centric learning, with recent publications in top-tier conferences like ECML and ICLR. Research interests include: Object-Centric Learning Slot Attention Mechanisms Spatiotemporal Processing Neural Network Architecture Design Brain-inspired AI IoT Middleware Development Recent trends in their publications highlight advancements in attention mechanisms, discrete representations for object recognition, and multi-scale fusion techniques. They also explore bio-inspired approaches for temporal data analysis and IoT systems. Research groups: Robot Learning Contact: Email: rongzhen.zhao@aalto.fi

Lauri Malmiمشاهده پروفایل

استاد

• Computing Education Research
• Programming Education
• Software Visualization
• +۵ مورد دیگر

Lauri Malmi is a Professor of Computer Science at Aalto University's Department of Computer Science, School of Science, leading the Learning+Technology research group (LeTech) since 2001. His primary research focus is Computing Education Research with emphasis on programming education tools, automatic assessment systems, and learning analytics. His research interests center on developing and evaluating advanced learning environments for programming education. Key areas include automatic assessment and feedback systems, program simulation and visualization tools, and gamified learning approaches. His empirical work spans qualitative interview studies to educational data mining techniques. He has made significant contributions to theoretical frameworks in computing education and meta-studies of the field. Malmi has chaired major international conferences including Koli Calling (2004, 2008) and ICER (2017-2018). He served as a regular columnist for ACM Inroads (2013-2020) and editorial board member for ACM Transactions on Computing Education and IEEE Transactions on Learning Technologies. His work demonstrates strong interdisciplinary connections between computer science education, learning sciences, and human-computer interaction. ACM SIGCSE award for Outstanding Contribution to Computer Science Education (2020) 2016 Learning Contribution Achievement Award (2017) Excellent Education in Electronics (2000) Teacher of the year 1999, Helsinki University of Technology Malmi has led significant educational initiatives including the national Center of Excellence in Education at Helsinki University of Technology (2001-2006) and the Aalto Online Learning digitalization project. His research group has secured numerous grants for developing innovative educational technologies and studying their impact. The LeTech group maintains active collaborations across Europe and globally in computing education research. His work extends into healthcare education through virtual reality childbirth training applications, demonstrating the transferability of educational technology approaches across domains. Malmi has contributed extensively to establishing methodological standards in computing education research through conference workshops and special journal issues.

• Migration Studies
• Welfare State Policy
• Sociology
• +۳ مورد دیگر

Marja Alastalo is a Deputy Head of Department and University Lecturer at the Department of Social Sciences within the Faculty of Social Sciences and Business Studies at the University of Eastern Finland. Her work focuses on migration, welfare state policies, digitalization in public services, and administrative practices. Her research explores how Nordic welfare states produce knowledge about migrant populations through registration systems and statistics, emphasizing the interplay between bureaucratic practices, family relationships, and social rights. Key topics include population registration, migration governance, and the sociotechnical dimensions of digital social welfare systems. Alastalo’s recent publications examine the sociopolitical implications of digitalization in public services, the strategic use of indicators in policy-making, and the role of documentation and DNA testing in migrant family recognition. Her work highlights systemic inequalities in bureaucratic processes affecting marginalized groups. Her research is part of projects like the Kone Foundation-funded Mobile People – Challenging the Population Statistics and Projections (2012–2016). She contributes to research groups such as the Data Literacy for Responsible Decision-Making and House of Effectiveness .

• Software Engineering
• Web Engineering
• Edge Computing
• +۷ مورد دیگر

Kari Systä is a Professor of Software Engineering at Tampere University's Faculty of Information Technology and Communication Sciences. His career spans academia and industry, including 16 years at Nokia Corporation and current leadership in software engineering research. He teaches courses like Continuous Development and Deployment - DevOps and supervises Master's theses. Research Focus: Data-driven software engineering, web/cloud platforms, IoT architectures, energy systems software, and edge computing. Current Projects: LiquidAI (2023-2025) for IoT-Edge-Cloud ML systems; 6GSoft (2023-2026) for 6G software engineering; Microblock (2021-2023) on blockchain micro-credentials; and DELI (2023-2025) for energy research infrastructure. Research Unit: Leads work at TASE (Tampere Software Engineering Research Group). His expertise bridges software engineering theory and practice, with collaborations across Finnish universities and industry. He advocates for integrating AI/ML into software development workflows and optimizing energy systems through programmable edge-cloud solutions.