جست‌وجوی استاد و پژوهشگر

• Learning Analytics
• Artificial Intelligence
• Explainable AI (XAI)
• +۵ مورد دیگر

Mohamed Abdelgalil is an Associate Professor of Computer Science at the University of Eastern Finland (UEF), leading the Learning Analytics Unit —recognized as Europe’s most productive laboratory in his field over the last five years and globally ranked second in 2024. His academic journey includes a PhD in Learning Analytics from Stockholm University (Best Thesis Award), postdoctoral roles at Université Paris Cité, KTH Royal Institute of Technology, and UEF, and a Docent title in Learning Analytics from the University of Oulu . Research Focus: Precision Explainable AI (XAI), network science, and methodological innovations for personalized, equitable AI-driven learning environments. He developed the tna software for dynamic process analytics and learning networks. Publications: Over 190 works, including journals like British Journal of Educational Technology and IEEE Transactions on Learning Technologies , with recent studies on emotional regulation in collaborative learning, AI interaction modeling, and accessibility in virtual labs. Awards: Europe’s Emerging Scholar Award (2023), Best Paper awards at LAK, ICCE, SITE, and TEEM. Leadership: Serves on editorial boards of leading journals, chairs conference tracks, and delivers keynotes. Collaborates with global institutions, governmental bodies, and industry partners.

• Machine Learning
• Artificial Intelligence
• Data Science
• +۵ مورد دیگر

Tommi Kärkkäinen is a Professor at the Faculty of Information Technology, University of Jyväskylä. His research focuses on machine learning, artificial intelligence, and their applications in fields such as nanotechnology, healthcare, and education. He leads projects funded by the Research Council of Finland, including initiatives on catalyst design using AI and structural analysis of hybrid nanoparticles. Education: Formal academic qualifications not explicitly listed in the text. Key Projects: Models and Methods of Self-Similar Network Traffic Analysis (2023–2026), High Performing Machine Learning for Novel Catalyst Design (2022–2024), and Structure Prediction of Hybrid Nanoparticles via Artificial Intelligence (2018–2022). Research Interests: Digitalization-driven data processing, machine learning for material science, and AI ethics in education. His work bridges theoretical advancements with practical implementations in healthcare diagnostics, flight training simulations, and educational equity. Notable contributions include developing neural network models for epilepsy detection, AI-driven catalyst design frameworks, and methodologies for evaluating digital competence in healthcare personnel. His work often involves interdisciplinary collaboration across nanoscience, education technology, and cognitive science. Grants: Over €16M secured through Research Council of Finland programs, including Profi3 (2017–2021) and Profi6 (2021–2026). Awards: Received the Best Student Paper Award (2024) for work on smart city place-belongingness strategies. Labs/Teams: Active in follow-up groups like OHTE (Engineering) and HUMBLE (Human-Machine Intelligence).

Jerker Björkqvistمشاهده پروفایل

استاد

• Sustainable Computing
• Energy-Efficient Algorithms
• Artificial Intelligence
• +۱۲ مورد دیگر

Jerker Björkqvist is a Professor in the Department of Information Technology at Åbo Akademi University, Faculty of Natural Sciences and Technology. His research focuses on sustainable computing, energy-efficient algorithms, and data-driven green transitions in industrial and marine contexts. He leads key projects such as DAZE, WSTAR, and CASEMATE, contributing significantly to zero-emission technologies. His research interests span Sustainable Computing , Energy-Efficient Algorithms for AI , Edge Computing , Marine Technology , and Industrial Sustainability . His work integrates computer science with environmental engineering to support the UN’s Sustainable Development Goals, especially in climate action and responsible innovation. The recent publications reflect a strong trend in applying data analytics and optimization techniques to reduce emissions in maritime and industrial systems. Key themes include digital twins, ultra-reliable communication, and maturity models for sustainability, showing an interdisciplinary blend of computer science, engineering, and environmental science. Jerker Björkqvist actively supervises Master’s students and contributes to academic service through organizing seminars and delivering keynote speeches. He is involved in educational initiatives such as capstone projects and engineering education reform, particularly focusing on the role of AI in practice. He is a principal investigator in multiple externally funded projects including: DAZE (Data Analytics for Zero Emission Marine) – Business Finland WSTAR (Wasa Zero Emission Data Centre) – Academy of Finland CASEMATE – Business Finland FAST – Finnish Software Engineering Doctoral Network These projects involve collaboration with industry and academic partners across Finland. He is associated with research teams and labs focused on sustainable computing and digital transformation, including the WSTAR research group and the DAZE consortium. These teams work on real-world implementations of green IT and marine decarbonization technologies.

Vesa Lappalainenمشاهده پروفایل

مدرس ارشد

• Computer Science
• Quantum Computing
• Educational Technology
• +۳ مورد دیگر

Vesa Lappalainen is a Senior University Lecturer at the University of Jyväskylä's Faculty of Information Technology. His work bridges quantum computing education, learning analytics, and programming pedagogy. He leads the Quantum Information and Computation Team, focusing on advancing quantum computational methods and scalable educational frameworks. Position: Senior University Lecturer University: University of Jyväskylä Research Group: Quantum Information and Computation Team Research interests include quantum computing pedagogy, predictive learning analytics for student retention in CS1, and innovative online learning environments. Notable contributions include developing interactive quantum circuit simulators and multi-functional digital course materials. His work emphasizes equity in education and scalable solutions for competency-based admissions. Publications span quantum education tools, learning analytics models, and comparative studies on programming education methods (e.g., game-based learning, TDD in CS1). Collaborations include international teams on projects like DEFA and KATTI, addressing challenges in educational technology and student identity development. Lappalainen has advised numerous collaborative projects and contributed to curriculum design in programming education. Current research trends focus on integrating multimodal emotion tracking in learning systems and generalizable predictive models for student success.

Matti Kurkelaمشاهده پروفایل

پژوهشگر

• Terrestrial Laser Scanning
• Mobile Mapping
• Photogrammetry
• +۳ مورد دیگر

Matti Kurkela serves as a Staff Scientist at Aalto University's Department of Built Environment, specializing in advanced 3D measurement technologies and geospatial applications. His work integrates laser scanning, photogrammetry, and mobile mapping systems for environmental and built environment analysis. His educational background includes a Doctoral degree in Engineering and Technology from Aalto University (awarded December 30, 2022), a Licentiate degree from the same institution (December 17, 2013), and a Master's degree in Arts and Design from the University of Lapland (December 17, 2007). Research focuses on terrestrial laser scanning (100% fingerprint match), mobile mapping (50%), photogrammetry (37%), point cloud processing (34%), and vegetation analysis (31%). His work contributes to UN Sustainable Development Goals through environmental monitoring and sustainable development applications. Recent publications show strong emphasis on photorealistic visualization, educational technology, and infrastructure analysis. National Open Science Award (2019) for collaborative open data initiatives Key contributor to EU-funded projects including RADIAL (construction digitalization) and Co-creation of Autonomous Future Active in organizing academic workshops on 3D measurement technologies and has participated in international collaborations including University College London visits. His datasets on Zenodo demonstrate practical applications in lighting analysis and pavement measurement. Current research integrates laser scanning with emerging technologies for urban and environmental challenges.

Ella Binghamمشاهده پروفایل

دانشیار

• Science Policy
• Research Funding
• Data Science
• +۴ مورد دیگر

Ella Bingham serves as Head of Research Services at Aalto University, leading an 80+ member team that supports researchers in funding acquisition, doctoral education, research data management, and open science initiatives. She concurrently holds the position of Executive Director at the Foundation for Aalto University Science and Technology and previously served as Vice Director for research administration at the Helsinki Institute for Information Technology (HIIT). Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (2003) Master's degree in Engineering and Technology, Helsinki University of Technology (1998) Docent in Computer Science, University of Helsinki (2009) Her research spans science policy, research funding systems, and data science applications in academic administration. With expertise in statistical analysis and artificial intelligence, she investigates research evaluation methodologies and science-policy interfaces, emphasizing practical implementations in higher education contexts. Her work bridges technical data analysis with institutional research management frameworks. Recent publications (2015-2023) reveal a consistent focus on research administration infrastructure, particularly data management systems and impact assessment methodologies. The works demonstrate increasing emphasis on practical implementation frameworks within Finnish academia, with recurring themes of digital transformation in research support services and evidence-based science policy development. Through her leadership in Research Services, she oversees management of external research funding applications and doctoral education processes. Her unit facilitates multidisciplinary collaboration via the Aalto Networking Platform while advancing research ethics compliance and national research profiling initiatives. External engagements include advisory roles for Finland's Ministry of Education and Culture and the European Commission on research policy matters.

Ghassem Gozaliaslمشاهده پروفایل

پژوهشگر

• Astrophysics
• Galaxy Formation and Evolution
• Active Galactic Nuclei
• +۹ مورد دیگر

Ghassem Gozaliasl serves as a Docent and Postdoctoral Researcher in the Department of Computer Science at the University of Helsinki, affiliated with Professorship Korpi-Lagg Maarit. He is actively involved in the Cosmology Data Center Finland research infrastructure project as a Project Member, contributing to astronomical data analysis and computational astrophysics research. His research focuses on galaxy formation and evolution, with particular emphasis on Active Galactic Nuclei, Galaxy Clusters, Stellar Mass, and X-Ray Astronomy. His work spans observational astrophysics and computational approaches, including machine learning applications for galaxy classification. He has established expertise in analyzing galaxy structures across multiple wavelengths, from near-infrared to X-ray observations. His publication record shows significant growth in recent years, with 246 total publications including numerous high-impact articles in journals like Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics. His research demonstrates strong international collaboration, with co-authors from institutions worldwide. FINCA visitor mobility grant (June 2024) Travel funding grant (May 2024) Dr. Gozaliasl actively supervises undergraduate research projects, including work on machine learning applications in galaxy classification and financial sentiment analysis. He has leadership experience as Chair of the 'From Postdocs to Postdocs Initiative' and regularly presents his research at conferences. His work bridges computer science and astrophysics, leveraging computational methods to address fundamental questions in cosmology. He is involved with the Cosmology Data Center Finland, contributing to astronomical data infrastructure that supports research on galaxy evolution and large-scale cosmic structures.

Tan Phat Huynhمشاهده پروفایل

دانشیار

• Materials Science
• Nanotechnology
• Biocompatibility
• +۷ مورد دیگر

Tan Phat Huynh is an Associate Professor (tenure track, level 2) at Åbo Akademi University’s Faculty of Science and Engineering, Department of Chemistry and Chemical Engineering. His research focuses on materials science, metabolomics, and sustainable sensor technology. Education: Doctorate in Physical Chemistry, Polish Academy of Sciences Research Interests: Development of biocompatible nanocomposites and hydrogels Non-invasive cancer diagnosis via NMR metabolomics Machine learning for medical diagnostics Green technology and sustainable materials Wearable and plant-inspired sensors Publication Trends: Recent work emphasizes prostate cancer biomarker detection through metabolomics, sustainable hemicellulose-based sensors, and advanced algorithms like Protomix for NMR data analysis. Collaborative projects span molecularly imprinted polymers, self-healing materials, and international education initiatives. Grants and Collaborations: He leads projects funded by the Academy of Finland and Finnish Education and Culture Ministry, including a double-degree program with IIT Mandi. Collaborations involve Finnish-Indian research networks and Ukraine education rebuilding efforts. Lab and Team: His work integrates molecular engineering with clinical applications, supported by Åbo Akademi’s Printed Intelligence Infrastructure project and international academic visitors hosted in 2024.

Kirsi Maria Pyhältöمشاهده پروفایل

استاد

• Educational Psychology
• Doctoral Education
• Higher Education Pedagogy
• +۵ مورد دیگر

Kirsi Maria Pyhältö is a Professor at the Department of Educational Sciences, University of Helsinki, Finland. She serves as a supervisor in doctoral programs focused on Cognition, Learning, Teaching, and Communication, as well as School, Education, Society, and Culture. Her research emphasizes educational psychology, well-being in learning environments, and doctoral education. Dr. Pyhältö also leads the Centre for University Pedagogy (HYPE). PhD in Educational Psychology (2004), University of Helsinki Adjunct Professor in Educational Psychology (2010) Her research spans study engagement , inclusion in education , curriculum development , and researcher career trajectories . Recent projects include SchoolWell (2022–2025) and SCIREARLY (2022–2025), focusing on well-being and educational policies in Europe. Kirsi Pyhältö received the Best Paper Award 2024 from the Journal for the Study of Education and Development. She has supervised numerous doctoral theses since 2011 and contributed to advanced research training initiatives.

• Longitudinal Survey
• Well-being at Work
• Finland
• +۴ مورد دیگر

Anica Cvetkovic is a Doctoral Researcher in the Doctoral Programme in Social Sciences , affiliated with the Unit of Social Research . While her university affiliation is unspecified in the scraped text, her work spans interdisciplinary research at the intersection of artificial intelligence , psychology , and public health . Research Interests : Longitudinal behavior studies, AI ethics, workplace well-being, pandemic psychology, self-regulation theory. Key Projects : Explore AI trust dynamics in organizational settings, pandemic-induced workplace anxiety, AI's role in fine arts, and well-being trends in Finland. Recent Publications (2023-2025) focus on AI's societal impact, psychological responses to technology, and longitudinal analyses of pandemic stressors. Her collaborations include researchers like Aki Oksanen , Natacha Savela , and Ruut Latikka .

• Sustainable Construction
• Battery Technology
• Renewable Energy Materials
• +۳ مورد دیگر

Muhammad Shajih Zafar is a Project Researcher at Åbo Akademi University's Faculty of Natural Sciences and Engineering within the Department of Process and Energy Engineering. His work directly advances UN Sustainable Development Goals through sustainable technology development, focusing on circular economy approaches in energy and construction sectors. Dr. Zafar's research centers on transforming waste streams into high-value materials: cattle bone waste for lithium-ion battery anodes, common ivy for sulfur battery components, and coffee residues for solar desalination systems. He integrates experimental materials science with machine learning to optimize electrochemical performance, addressing critical challenges in energy storage sustainability and freshwater scarcity. His fingerprint reveals deep expertise in concrete technology, sulfur batteries, and nanoparticle engineering. Recent publication trends (2024-2025) show intensified focus on battery innovation, with 7 of 11 total publications exploring waste-derived electrodes and predictive modeling. This research bridges environmental engineering and advanced materials science, creating solutions for sustainable urban infrastructure and clean energy transitions. Scientific recognition includes: Non-EU student Scholarship (September 2018) Dr. Zafar actively mentors doctoral researchers, currently supervising 'Optimizing Binder Materials for High-performance Sodium-ion Battery Cathode' (2025-2026). His international collaborations span Pakistan, Italy, and Scandinavia, supported by research aligned with global sustainability funding priorities. As a peer reviewer for 'Energies', he contributes to scholarly quality in energy research. His work operates at the intersection of waste valorization and advanced materials, developing practical solutions for sustainable construction and next-generation energy storage through experimental innovation and computational modeling.

• Linguistics
• Swedish Language
• Normative Linguistics
• +۷ مورد دیگر

Tomás Lehecka is a University Lecturer in the Department of Languages at the Faculty of Arts, Psychology and Theology, Åbo Akademi University, Finland. His academic work centers on linguistics, with a focus on Swedish language, normative perceptions, reading interventions, and corpus-based studies of language change. His research interests span Linguistics , Swedish Language , Morphology , Reading Interventions for Poor Readers , Corpus Linguistics , and Gender-Neutral Language Reform . He investigates how linguistic norms are formed and challenged, particularly in public discourse and educational settings. The most recent publications highlight a strong trend in experimental and applied linguistics, especially using computer-assisted tools for reading development in primary education, normative lexical ratings, and the emergence of gender-neutral pronouns in Swedish. His work bridges theoretical linguistics with practical applications in education and language policy. Principal Investigator, Consequential misconceptions about local and global Linguistic Realities (2020–2025) He has published extensively in Nordic linguistic journals and conference proceedings, with a growing emphasis on interdisciplinary research connecting language, cognition, and society. His role as a lecturer and researcher underscores his commitment to both academic inquiry and public engagement in language sciences.

• Data Science
• Fintech
• Artificial Intelligence
• +۷ مورد دیگر

Xiaolu Wang is a University Lecturer at the School of Business, Faculty of Social Sciences, Business and Law, at Åbo Akademi University, Finland. She is actively engaged in interdisciplinary research at the intersection of data science, artificial intelligence, and business applications. Her research interests focus on: Applications of Large Language Models in data analysis Fintech, particularly peer-to-peer lending and secondary markets Fraud detection using fuzzy clustering and machine learning Valuation under uncertainty using fuzzy logic models Digital innovation and policy evaluation, including pandemic response measures Her recent publications show a strong trend toward integrating AI and data mining frameworks like CRISP-DM into business and social challenges. She frequently contributes to international conferences such as IEEE FUZZ and WorldCIST, with a focus on practical applications of computational intelligence. Her work contributes to the UN Sustainable Development Goal 9: Industry, Innovation, and Infrastructure. She has collaborated with researchers such as József Mezei, Christer Carlsson, and Anna Sell. While no formal advising or grant information is listed, her research output demonstrates consistent scholarly activity over the past decade.

• Psychology
• Adolescent Psychology
• Mental Health Interventions
• +۳ مورد دیگر

Tetta Hämäläinen serves as a Research Fellow at the Department of Psychology within the Faculty of Education and Psychology at the University of Jyväskylä. Her academic work centers on developing and evaluating digital mental health solutions for adolescents, particularly through the Youth Compass Research Group's initiatives. Her research specialization spans adolescent psychology and digital intervention design, with deep expertise in Acceptance and Commitment Therapy (ACT) frameworks. She investigates how interactive, gamified online tools influence psychological well-being, school engagement, and behavioral patterns among youth. Key methodological focuses include longitudinal analysis of usage activity, adherence mechanisms, and bidirectional relationships between behavior and well-being outcomes in school settings. Recent publications (2021-2025) reveal a cohesive research trajectory examining ACT-based internet interventions, particularly the Youth Compass program. Her work consistently analyzes Finnish adolescent populations, emphasizing practical implementation in educational contexts while exploring therapeutic mechanisms like perceived usefulness and satisfaction. Cross-cutting themes include digital accessibility of mental health resources and context-specific adaptation of clinical techniques. Scientific Awards: No awards documented in available materials Regarding academic mentoring and funding, current documentation indicates no supervised students or externally funded grants. Her collaborative publications suggest interdisciplinary teamwork with colleagues across psychology and education disciplines, though specific grant histories remain unreported. As an active member of the Youth Compass Research Group, she contributes to developing and validating the gamified Youth Compass intervention platform. This research collective specifically examines how brief, interactive digital tools can systematically enhance well-being skills among adolescents through structured therapeutic activities and real-time feedback mechanisms.

Juha Eskelinenمشاهده پروفایل

مدرس

• Translation Studies
• Translation Pedagogy
• ICT in Translation
• +۳ مورد دیگر

Juha Eskelinen serves as a University Lecturer in English Translation and Interpreting at the University of Helsinki's Department of Languages since 2009, previously holding a lecturer position from 2006-2009. He is a member of the Bachelor of Languages program management team (2016-present) and serves as liaison for the Finnish Association of Translators and Interpreters at the university. His research focuses on translation pedagogy, with particular expertise in ICT integration in translation education, LSP teaching methodologies, and professional competence development. Eskelinen has pioneered cross-disciplinary collaborative teaching approaches in specialized translation and led initiatives for the European Master's in Translation network. His publication trends reveal consistent contributions to translator training literature since 2008, with increasing emphasis on digital competencies and assessment frameworks in translation education. Recent works demonstrate growing interdisciplinary connections between translation studies and information science. Department of Modern Languages Incentive Award (2015) Finnish Association of Translators and Interpreters Silver Merit Badge (2021) Eskelinen has led significant teaching development projects including 'Translation Studies and Terminology (TraST)' and 'Kääntämisen ja tulkkauksen maisteriohjelman digiloikka' (Master's Program Digital Leap), focusing on curriculum innovation and technology integration. His grant activities demonstrate strong collaboration with European translation networks and industry stakeholders.