جست‌وجوی استاد و پژوهشگر

• Security Engineering
• Science of Security
• Human-Computer Interaction
• +۴ مورد دیگر

Janne Lindqvist is an Associate Professor at the Department of Computer Science, Aalto University. His research bridges security engineering, human-computer interaction (HCI), and privacy, with a focus on making security systems usable and user-centric. University: Aalto University Department: Department of Computer Science Rank: Associate Professor Email: janne.lindqvist@aalto.fi Lindqvist’s work spans security engineering , privacy systems , and user research , emphasizing practical authentication methods, password management, and human behavior in security contexts. He explores how users interact with systems like TPM APIs, gesture passwords, and mobile authentication mechanisms. Recent publications highlight trends in authentication systems , ubiquitous computing security , and mobile user behavior . Key themes include biometric authentication, gesture-based security, and balancing usability with cryptographic robustness. CHI'25 Honorable Mention Award CHI'24 Best Paper Award His research integrates empirical studies with technical implementations, such as analyzing password forgetting patterns and developing acoustic sensing for vehicle detection (e.g., Auto++, BO-Ear). Collaborative efforts span machine learning, psychology, and embedded systems.

• Marketing
• Consumer Behavior
• Retail Management
• +۵ مورد دیگر

Hannu Saarijärvi is a Professor in the Faculty of Management and Business at Tampere University, specializing in Marketing. His research bridges consumer behavior, retail innovation, and data-driven health studies. Based in Tampere University's City Centre Campus, he explores transformative retailing and societal impacts of consumer data. University: Tampere University School: Faculty of Management and Business Department: Business Studies Email: hannu.saarijarvi@tuni.fi His research focuses on consumer behavior in omnichannel and second-hand retailing, data analytics using loyalty card datasets, and health research linking maternal experiences to dietary patterns. Recent studies examine sustainable diets , alcohol consumption dynamics , and food waste reduction . Key article trends highlight loyalty card data applications in health informatics , retail transformation , and sustainability . Collaborative studies with Finnish institutions analyze population-level consumption behaviors, legislative impacts, and digital service innovations. Professor Saarijärvi's work emphasizes value co-creation , customer experience , and strategic digitalization in retail contexts, with practical implications for public health and business models.

Eric Coataneaمشاهده پروفایل

استاد

• Manufacturing Systems
• Additive Manufacturing
• Causal Graphs
• +۵ مورد دیگر

Eric Coatanea is a Professor at Tampere University, affiliated with the Automation Technology and Mechanical Engineering department within the Faculty of Engineering and Natural Sciences. His research focuses on manufacturing systems, causal graph networks, multi-disciplinary optimization, and AI integration in engineering design. He holds a BSc from University of West Brittany (1990), MSc from INSA Toulouse (1993), and teaching certification from Ecole Normale Supérieure (1994). Research interests include modeling manufacturing systems, additive manufacturing (e.g., Directed Energy Deposition), causal graphs for decision-making, and systems engineering. Notable awards include the Chevalier des Palmes Académiques (2018) and Marie-Curie Fellowship (2006–2008). Recent publications emphasize optimization algorithms combining AI (e.g., L-ANN-GWO), viscosity effects in 3D printing, and causal graph applications in MDO. His work bridges theoretical frameworks with practical engineering challenges, focusing on early design synthesis and sustainable manufacturing. Commitments include editorial roles (Journal of Integrated Design & Process Science), NSERC Canada advisory, and board memberships (Dynavio Cooperative Oy, Selko Oy). Current projects include LILIAM, ÄVE, and DIGITBrain initiatives.

Henrikki Tenkanenمشاهده پروفایل

استادیار

• Geospatial Analysis
• Urban Planning
• Transportation Accessibility
• +۷ مورد دیگر

Henrikki Tenkanen is an Assistant Professor in the Department of Built Environment at Aalto University, specializing in Geoinformatics. His research focuses on geospatial analysis, urban planning, transportation accessibility, and open data applications for sustainable development. His primary research interests include Geospatial Analysis , Urban Planning , Transportation Accessibility , and Population Dynamics . Tenkanen's work integrates mobile phone data, social media, and open geospatial sources to understand urban environments, accessibility patterns, and carbon emissions. His research contributes significantly to UN Sustainable Development Goals related to sustainable cities and communities. Tenkanen's recent publications demonstrate strong trends in high-resolution spatial analysis of urban environments, with particular emphasis on transport equity , carbon emissions mapping , and rural population representation . His work combines advanced geocomputing techniques with practical urban planning applications, often developing open-source tools to enhance reproducibility and accessibility of geospatial research. As an active member of the academic community, Tenkanen serves as a peer reviewer for journals including Big Data & Society and Environment and Planning B, and participates in conference committees such as the International Conference on Location Based Services. His research has garnered significant attention, with multiple publications featured in news outlets and academic platforms. Tenkanen leads several major research projects including Geo-R2LLM (developing geographic large language models), Geoportti (open geospatial infrastructure), MAPICO (mapping commute-related carbon emissions), and LIH: Location Innovation Hub. His work bridges academic research with practical applications for urban planning and sustainable mobility.

• Motivation
• Well-being
• Perfectionism
• +۴ مورد دیگر

Heta Tuominen is a Professor and Academy Research Fellow at the University of Eastern Finland (UEF), affiliated with the School of Applied Educational Science and Teacher Education under the Philosophical Faculty. Her research focuses on the interplay between motivation, well-being, and perfectionism in educational contexts, particularly among children and adolescents. She leads the Academy Research Fellow project (2022–2027), examining developmental dynamics of motivation and academic well-being in secondary education. Education includes a PhD and Docent titles in Education (UEF) and Educational Psychology (University of Helsinki). She serves as Editor-in-Chief of The Finnish Journal of Education and coordinates the Educational Psychology and Learning Research Special Interest Group. Her research interests span educational psychology, quantitative methods, and student welfare. Key findings emphasize the decline of motivation and well-being over time, with reciprocal links between academic performance and motivation. Recent work highlights pandemic impacts on student stress and coping strategies. Awards include the 2024 Communicator of the Year Award (UEF) and the prestigious Academy Research Fellow title. Collaborations involve the Motivation, Learning, and Well-being (MoLeWe) research collective and the Learning, Everyday Life and Work in a Digitalized Society (DIGS) community.

• Machine Learning
• Artificial Intelligence
• Neural Networks
• +۳ مورد دیگر

Daolang Huang is a Doctoral Researcher and Student in the Department of Computer Science at the School of Science, affiliated with Professor Samuel Kaski's group. He holds a Bachelor's degree in Engineering and Technology from Jinan University (2020). His research focuses on advanced machine learning techniques, including Bayesian inference, robust statistical modeling, and simulation-based methods. Key areas include experimental design optimization, neural processes, and equivariance in deep learning. Recent work emphasizes decision-aware algorithms and cost-effective simulation frameworks. Huang has collaborated internationally, with publications in top venues like NeurIPS. Despite no listed awards, his work demonstrates significant contributions to probabilistic modeling and optimization. Education : Bachelor's degree in Engineering and Technology, Jinan University (2020) Research Interests : Bayesian methods and amortized inference Robust statistics under model misspecification Continuous control and neural process architectures Optimization algorithms with decision-theoretic foundations Recent Research Trends : His articles (2020–2025) emphasize Bayesian experimental design, preference-based optimization, and equivariant neural networks. Themes include balancing statistical rigor with computational efficiency, particularly in high-dimensional decision-making contexts. Labs/Teams : Active member of Samuel Kaski’s research group, focusing on interdisciplinary applications of machine learning.

• Operations Research
• Behavioral Economics
• Game Theory
• +۶ مورد دیگر

Ilkka Leppänen is an Assistant Professor (2nd term) at Aalto University's Department of Information and Service Management. His research focuses on behavioral operational research, game theory, and systems intelligence, with a particular emphasis on integrating psychophysiological methods to study decision-making processes in strategic interactions. Key research areas include emotional responses in negotiations, evolutionary stability of preferences in duopoly markets, and the application of systems thinking to complex organizational challenges. His work bridges theoretical models with empirical experiments, often employing psychophysiological measurements to understand human behavior in competitive and collaborative settings. Leppänen has contributed to advancements in behavioral OR through interdisciplinary studies, including the analysis of cooperation mechanisms in Stackelberg and Cournot games, as well as the design of educational platforms for operations management simulations. His research frequently addresses practical interventions to improve decision-making in real-world contexts. Notable collaborations include studies with Raimo P. Hämäläinen and Etiënne A.J.A. Rouwette, exploring topics such as strategic timing in duopolies and the impact of emotional states on economic interactions. His publications span prestigious journals like the European Journal of Operational Research and the Journal of Neuroscience, Psychology, and Economics.

Antti Juvonenمشاهده پروفایل

مدرس

• Music Education
• Arts Education
• Educational Sciences
• +۶ مورد دیگر

Antti Juvonen is a Lecturer at the School of Applied Educational Science and Teacher Education, University of Eastern Finland. His research focuses on music education, arts education, and pedagogical well-being, with an emphasis on creativity, multiculturalism, and technology integration. He has published extensively on topics such as student motivation, distance learning, and the role of arts in education. Fields of Expertise: Music Education, Arts Education, Educational Sciences, Creativity, Drama Education, School Well-being Email: antti.juvonen@uef.fi Phone: +358 50 593 8120 His recent work explores the paradigm shift in music education, ethnographic studies of community orchestras, and the impact of innovative learning environments on student well-being. He collaborates internationally, with publications in peer-reviewed journals and conferences across Finland, Estonia, Lithuania, and Latvia. Antti’s research includes studies on: Motivation in music and mathematics Distance music learning in primary education Professional competence in teacher training Multicultural reflections in arts education Digital tools in music and teacher education

Daniel N. Hauserمشاهده پروفایل

استادیار

• Microeconomic theory
• Economics of information
• Model misspecification
• +۳ مورد دیگر

Daniel N. Hauser is an Assistant Professor in the Department of Economics at Aalto University and a Research Affiliate in Organizational Economics at the Center for Economic Policy and Research Development (CEPR). His research focuses on microeconomic theory, particularly in the areas of information economics and model misspecification. His primary research interests include: Microeconomic theory and economics of information Model misspecification and its implications for learning Reputation formation and management Strategic information control and censorship Behavioral foundations of economic decision-making Dr. Hauser has been awarded an ERC Starting Grant for his project "Modeling Misspecification," which examines how individuals form beliefs when working with incorrect models of reality. His research has been published in top economics journals including Econometrica, American Economic Journal: Microeconomics, and RAND Journal of Economics. His work on misspecified learning models has established a framework for understanding how heterogeneous interpretations of information impact social learning and belief formation. In his reputation research, he explores how firms manage quality perceptions through both investment and strategic information control, revealing important discontinuities in equilibrium outcomes and the emergence of reputation cycles. Scientific awards and recognitions: ERC Starting Grant for "Modeling Misspecification" Dr. Hauser has collaborated extensively with Aislinn Bohren on multiple projects related to misspecified models and learning. His research has implications for understanding economic behavior in contexts where agents have imperfect understanding of the environment, with applications in finance, industrial organization, and social learning.

• Sleep Research
• Mental Health
• Neuroscience
• +۳ مورد دیگر

Anu-Katriina Pesonen is a Full Professor of Experimental Mind and Brain Research at the University of Helsinki's Faculty of Medicine and currently serves as Vice Dean (Research Affairs). She leads the Sleep & Mind Research Group, focusing on interdisciplinary studies combining psychology, medicine, and neuroscience to explore sleep mechanisms related to stress, memory, and emotional regulation. Her work emphasizes experimental interventions and EEG analytics to develop therapeutic tools for sleep improvement. Academically, she holds a PhD in Psychology from the University of Helsinki (2004) and Docent titles in Educational/Developmental Psychology (2006, University of Helsinki) and Personality Psychology (2008, University of Tampere). She became a full professor in 2015 and transitioned to her current role in 2020. Her leadership includes roles in the National Graduate School of Psychology and the University of Helsinki's Board. Research interests span sleep dynamics, developmental psychology, and mental health. Notable projects include investigations into REM sleep's role in emotional processing, circadian rhythms, and the impact of early-life stress on cognition. She has supervised multiple doctoral theses and contributed to over 245 publications, including studies on sleep fragmentation, BDNF genotype effects on memory, and circadian preference associations with mental health. Her awards include the 2006 Berzelius Symposium Award for young investigators. She actively engages in grant-funded research, including projects on REM sleep interventions and sleep EEG analysis. Her Sleep & Mind team collaborates internationally, addressing sleep's role in resilience and mental health through experimental and computational approaches.

Reijo Bymanمشاهده پروفایل

استاد مدعو

• Educational sciences
• Teacher education
• Psychology
• +۷ مورد دیگر

Reijo Byman is a Docent at the University of Helsinki, Faculty of Educational Sciences, specializing in educational sciences and psychology. His email contact is reijo.byman@helsinki.fi, and he maintains an active research profile through the university's research portal. Dr. Byman's research interests span educational sciences, teacher education, psychology, digital pedagogy, research-based teaching approaches, student motivation, and science education. His work demonstrates a consistent focus on understanding and improving educational practices through rigorous research, with particular attention to how teachers develop professionally and how students engage with science learning. His recent publications (2023-2025) reveal a strong emphasis on digital pedagogy and teacher educators' professional development, particularly examining how the pandemic has transformed educational practices. Earlier works (2011-2021) established his expertise in student motivation, science education, and research-based teacher training methodologies. His research consistently applies psychological frameworks to educational contexts, especially self-determination theory in understanding motivation. The Doctoral Dissertation of the Year 2001 (awarded March 15, 2002) Dr. Byman has supervised numerous doctoral students including Topi Paukkunen, Antti Palomaa, Nina Bitter, Tuulikki Tepora, Kirsti Lehtinen, Marja Spoof, and Sari Mullola-Mäkinen. He has secured research funding for multiple significant projects including '21st Century Teacher – Tulevaisuuden opettaja' (2017-present), 'Personality and Teaching' (2015-present), and 'Research-Based Teacher Education' (2013-present). He actively participates in academic networks, serving on conference organizing committees, conducting peer reviews for journals including Personality and Individual Differences and Learning and Instruction, and reviewing research plans for the Academy of Finland.

Alessandro Fogliمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Data Analytics
• Cluster Resource Management
• +۴ مورد دیگر

Alessandro Fogli is a PhD Student at Imperial College London in the Department of Computing, affiliated with the Large-Scale Data & Systems (LSDS) Group . His research focuses on systems support for data analytics in cloud environments, including distributed systems, resource management, and query processing. Education PhD in Computer Science, 2019–Present, Imperial College London MSc in Computer Science, 2015–2017, Roma Tre University BSc in Computer Science, 2012–2015, Roma Tre University His research spans Distributed Systems , Databases , Data Analytics , and Modern Hardware . Recent work examines chiplet-based processor architectures and runtime mapping systems, with applications in performance optimization and hardware-aware query execution. Scientific Contributions Co-developed CHARM (2025), a runtime mapping system for chiplet heterogeneity Published in VLDB (2024) on OLAP processing for chiplet-based CPUs Contributed to HeatWave at Oracle Labs, improving query offloading to in-memory accelerators

• Drug Discovery
• Cheminformatics
• Machine Learning
• +۳ مورد دیگر

Yasmine Nahal serves as a Doctoral Researcher within the Department of Computer Science at Aalto University, Finland. Her position involves conducting cutting-edge research at the nexus of artificial intelligence and pharmaceutical sciences, specifically targeting the enhancement of drug discovery processes through human-AI collaboration. She is actively contributing to the development of novel computational frameworks that empower chemists with intelligent tools for molecule design and analysis. Her research expertise spans drug discovery, cheminformatics, machine learning, and human-computer interaction. Key focus areas include interpretable AI models for chemist preferences, robust detection of assay-interfering compounds, and goal-oriented molecule generation via active learning. She pioneers techniques that seamlessly integrate domain expert feedback into generative chemistry models, thereby bridging the gap between computational predictions and practical chemical intuition. Examining her publication record from 2023 to 2025, a clear trajectory emerges: advancing human-in-the-loop methodologies in drug discovery. Her contributions address critical challenges such as aligning proxy rewards with ground truth in molecular generation, creating user interfaces for expert feedback collection (Metis), and developing expert-guided augmentation strategies (E-GuARD) to improve compound screening reliability. This body of work underscores a commitment to making AI systems more transparent, reliable, and useful for medicinal chemists. No scientific awards are documented for Yasmine Nahal in the available sources. As a doctoral researcher, she is currently engaged in her PhD studies and does not supervise students. Information regarding research grants, laboratory affiliations, or team memberships was not provided in the source material.

Jaana-Maija Koivistoمشاهده پروفایل

مدرس

• Nursing Science
• Health Science
• Educational Sciences
• +۵ مورد دیگر

Jaana-Maija Koivisto is a University lecturer at the University of Helsinki's Faculty of Medicine, Department of Nursing Science. She serves as a Clinicum Teachers' Academy Supervisor in the doctoral program, and supervises in both the Doctoral Program in Cognition, Learning, Teaching and Communication and the Doctoral Programme in Population Health. With 54 publications spanning from 2013 to 2025, her research output shows significant growth, with particular productivity in recent years (10 publications in 2020, 7 in 2022, and 6 each in 2023-2024). Dr. Koivisto holds qualifications as a Docent in Nursing, a Doctor of Philosophy in Education, and a Master of Health Sciences in Nursing. Her academic journey reflects a strong foundation in both healthcare practice and educational theory, positioning her at the intersection of nursing science and pedagogical innovation. Her research interests center on the application of virtual reality and simulation technologies in nursing education, with particular focus on empathy development, knowledge acquisition, and interprofessional competencies. She investigates how immersive technologies can enhance traditional nursing education methods, examining both quantitative learning outcomes and qualitative student experiences. Her work demonstrates a commitment to evidence-based educational practices that prepare nursing students for complex clinical environments. Analysis of her recent publications reveals a clear trajectory toward increasingly sophisticated applications of technology in healthcare education, with her 2025 work exploring generative AI integration with VR environments. The publications consistently address practical educational challenges while contributing to theoretical understanding of technology-mediated learning in healthcare contexts. As a doctoral program supervisor across multiple disciplines, Dr. Koivisto plays a significant role in shaping the next generation of healthcare educators and researchers. Her work bridges clinical practice, educational theory, and technological innovation, creating valuable cross-disciplinary connections within the university's academic ecosystem.

• 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.