جست‌وجوی استاد و پژوهشگر

Lauri Viitasaariمشاهده پروفایل

استادیار

• Statistics
• Mathematics
• Data Science
• +۳ مورد دیگر

Lauri Viitasaari is an Assistant Professor in Statistics, Mathematics, and Data Science at Aalto University School of Business, Finland, holding a position since January 2024. He also serves as an Adjunct Professor (title of docent) in Mathematics at the University of Helsinki (since September 2019) and in Applied Mathematics at the University of Vaasa (since November 2016). He earned his Doctor of Science (DSc) in Mathematics from Aalto University School of Science in February 2014. His research focuses on stochastic processes, probability theory, and their applications in data science and mathematical analysis. Key areas include stochastic differential equations, rough path theory, fractional Brownian motion, extreme value analysis, and convex regularization methods. His work bridges theoretical foundations with practical challenges in computational statistics and mathematical finance. Recent publications highlight contributions to stochastic pressure equations, discretization convergence rates, and latent variable models. He actively supervises bachelor's, master's, and PhD theses in these domains. His research has been published in journals like Electronic Communications in Probability , Journal of Differential Equations , and Journal of Multivariate Analysis .

Vanni Noferiniمشاهده پروفایل

دانشیار

• Numerical Analysis
• Linear Algebra
• Matrix Polynomials
• +۴ مورد دیگر

Vanni Noferini is an Associate Professor in the Department of Mathematics and Systems Analysis at Aalto University, part of the School of Science. His research focuses on numerical linear algebra, matrix theory, and their applications in network science and complex systems. He holds joint affiliations with the Mathematical Statistics and Data Science, Algebra and Discrete Mathematics, and Numerical Analysis groups within the department. His work spans topics including matrix polynomials, eigenvalue problems, structured matrices, and the analysis of networks using algebraic and spectral methods. Notable contributions include studies on Smith forms, Riemannian optimization for matrix nearness problems, and non-backtracking centrality measures in graphs. Noferini has authored over 50 publications in top-tier journals such as SIAM Journal on Matrix Analysis and Applications , Linear Algebra and Its Applications , and Journal of Complex Networks . His research also intersects with applications in control theory, graph algorithms, and random matrix theory.

• Environmental Engineering
• Wastewater Treatment
• Process Control
• +۳ مورد دیگر

Henri Uolevi Haimi is a Professor of Practice at Aalto University , affiliated with the Department of Water and Environmental Engineering under the School of Engineering. His work focuses on data-driven approaches for wastewater treatment systems, including sensor technologies, anomaly detection, and process optimization.

• Machine Learning
• Health Informatics
• Transportation Modeling
• +۴ مورد دیگر

Jaakko Hollmen serves as a Senior University Lecturer in the Department of Computer Science at Aalto University, affiliated with the Helsinki Institute for Information Technology (HIIT) and the Computer Science Lecturers research group. His interdisciplinary work bridges machine learning with critical applications in healthcare, transportation systems, and environmental science. His research focuses on advanced machine learning methodologies including Bayesian optimization, random forests, and principal component analysis. Key application areas span neonatal healthcare (mortality prediction, brain injury analysis), transportation modeling (activity-based model calibration), and environmental data science (weather-crop relationships, drug-environment interactions). His approach emphasizes practical implementations of complex algorithms for real-world problems. Hollmen's recent publications (2018-2023) reveal a consistent trajectory in developing machine learning solutions for high-dimensional data challenges, with increasing emphasis on medical applications. His work demonstrates strong cross-domain collaboration, particularly with medical researchers at Helsinki University Hospital. His notable recognition includes: Best paper finalist and runner-up award (Computer Track) at the first IEEE Life Sciences Conference (LSC) for research on predicting complications in very low birth weight infants (2017) As a core member of HIIT, Hollmen contributes to Finland's national information technology research infrastructure while maintaining active collaborations with medical and agricultural research groups. His current projects focus on optimizing transportation models and advancing clinical prediction systems through novel machine learning techniques.

Jaakko Pehkonenمشاهده پروفایل

استاد

• Labor Economics
• Health Economics
• Economics of Education
• +۲ مورد دیگر

Jaakko Pehkonen serves as a Professor at the School of Business and Economics, University of Jyväskylä, where he is based in room Ag D313.4. His research is anchored within the Empirical Microeconomics (EME) research group, which specializes in labor economics, health economics, regional economics, and economics of education using micro-level data and advanced econometric techniques. Contactable via jaakko.k.pehkonen@jyu.fi or +358503732133, his work addresses real-world economic policy questions through rigorous empirical analysis. His research portfolio demonstrates exceptional depth in health-labor market intersections, including analyses of sickness absence policies in healthcare, tobacco smoking's impact on early-career trajectories, and weight-depression relationships using genetic instruments. Additional expertise spans family economics (parental responses to children's job loss), retirement coordination among couples, digital healthcare adoption, and Nordic economic convergence. The EME group's methodological rigor—evident in quasi-experimental designs and Finnish register data utilization—characterizes his contributions to causal inference in applied economics. Recent publications reveal a strategic focus on policy-relevant microeconometric studies, particularly Finnish register-based analyses of labor market dynamics and health interventions. His work consistently employs difference-in-differences, instrumental variables, and observational study designs to evaluate policy impacts across healthcare, retirement, and unemployment domains. This concentration on causal identification in real-world settings distinguishes his empirical approach within European labor economics. As a core member of the Empirical Microeconomics research group, Professor Pehkonen contributes to a collaborative ecosystem investigating labor market frictions, health determinants, regional disparities, and educational outcomes. The group's interdisciplinary framework enables comprehensive analysis of socioeconomic phenomena through microdata, fostering evidence-based policy recommendations for Nordic and international contexts.

• Ionic Liquids
• Cellulose Fiber Spinning
• Lyocell Process
• +۴ مورد دیگر

Sanna Hellsten serves as Coordinator in the Department of Bioproducts and Biosystems and Bioproduct Chemistry at Aalto University. She is actively involved in research related to cellulose fiber production, ionic liquids, and sustainable textile manufacturing processes, contributing to UN Sustainable Development Goals. Her educational background includes: Doctoral degree in Engineering and Technology from LUT University (awarded December 31, 2013) Master's degree in Engineering and Technology from LUT University (awarded December 19, 2008) Bachelor's degree in Engineering and Technology from LUT University (awarded June 18, 2008) Sanna Hellsten's research focuses on sustainable bioproduct development, particularly in the area of cellulose-based materials and textile manufacturing. Her work centers on the Lyocell process using ionic liquids as solvents for cellulose dissolution and fiber spinning. She investigates solvent recycling methods, process limitations, and analytical techniques like Raman spectroscopy for process monitoring. Her research contributes to circular economy approaches in the textile industry, aiming to develop more sustainable methods for producing regenerated cellulose fibers from waste materials like old textiles and paper. Her recent publications demonstrate expertise in ionic liquid chemistry, cellulose processing, and analytical methods for industrial applications. She has made significant contributions to understanding the limitations and potential of superbase-based ionic liquids in the Lyocell process, with research showing how dissolving pulp can be adapted as a solution for sustainable textile production. Sanna Hellsten has received recognition for her work: DIA Design Intelligence Award, China (2018) Sanna Hellsten is actively involved in multiple research projects including FinnCERES (Competence Center for the Materials Bioeconomy: A Flagship for our Sustainable Future, 2022-2026), SolvRec (Technical development of Ioncell-F with special emphasis on solvent recycling, 2017-2019), and TeKiDe (Textile fiber recycling demonstration platform). She collaborates extensively with researchers from various institutions and has presented her work internationally, including at conferences on ionic liquid recycling in cellulose fiber spinning. Her research has practical applications in developing more sustainable textile manufacturing processes that could help Finland capture a significant share of the global sustainable textile market. She is part of the research team working on the Ioncell technology, which aims to revolutionize textile production by creating high-quality fibers from recycled materials using environmentally friendly processes. This work has attracted media attention in Finland and internationally, with statements highlighting how 'Finland could capture a third of the billion-dollar market' in sustainable textiles.

• High Energy Physics
• Experimental Particle Physics
• Medical Imaging
• +۳ مورد دیگر

Erik Brücken is a University Lecturer and Docent at the Department of Physics, University of Helsinki. He actively participates in the Doctoral Programme in Materials Research and Nanosciences, as well as the Doctoral Programme in Particle Physics and Universe Sciences. His research spans high-energy physics, experimental particle physics, and detector development. Primary affiliation: Department of Physics, University of Helsinki Supervisory roles in two doctoral programs Active in CMS and ALICE collaborations Research Interests: Brücken's work focuses on experimental particle physics at colliders like the LHC, particularly in detector optimization and data analysis. His projects include the ALICE Time Projection Chamber Upgrade and multispectral photon-counting for medical imaging. Current research examines B meson decays, Higgs boson properties, and jet substructure in heavy-ion collisions. Recent Publications: His 2025 contributions include analyses of B0 meson decays, Higgs self-coupling constraints, top quark production cross-sections, and jet substructure studies in nuclear collisions. Projects: He leads a 2024-2027 European particle physics infrastructure project (TOTEM) and participates in collaborations related to detector development and beam characterization. Past projects include CMS Tracker upgrades and CDF experiments spanning 2002-2017. Academic Activities: Brücken organizes and presents at international conferences like the European Researcher's Night and Euroschool on Exotic Beams. He serves as a doctoral thesis committee member and contributes to peer review processes.

Markku Lanneمشاهده پروفایل

استاد

• Econometrics
• Time Series Analysis
• Macroeconomics
• +۳ مورد دیگر

Markku Lanne is Professor of Economics at the University of Helsinki's Faculty of Social Sciences, where he has served since August 2010. He also holds the position of Vice-Dean for Academic Affairs of the Faculty of Social Sciences and leads the Financial and Macroeconometrics research group. His academic journey includes previous appointments as Professor of Empirical Macroeconomics at the University of Helsinki (2007-2010) and Professor of Economics and Finance at the University of Jyväskylä (2003-2007). He maintains adjunct professorships (docent) in econometrics at the University of Helsinki (since 2001) and in financial econometrics at Aalto University (since 2008). Professor Lanne's research focuses on advanced time series econometrics with applications in macroeconomics and finance. His work centers on structural vector autoregression models, non-Gaussian time series analysis, identification methods, and macroeconomic forecasting. His research has significant implications for understanding economic shocks, inflation dynamics, and the relationship between financial markets and the real economy. He has developed innovative approaches to identifying structural economic relationships using non-Gaussian features of economic data. Lanne's publication record shows a clear progression toward increasingly sophisticated methods for analyzing non-Gaussian economic time series. His recent work (2022-2024) demonstrates a strong focus on statistical identification of structural relationships using non-Gaussian features, particularly in the context of vector autoregressive models. This research has important applications for understanding macroeconomic shocks, weather impacts on economies, and improving economic forecasting methods. His scientific recognition includes: Alfred Kordelin Foundation encouragement prize (2011) Good Teaching Award (2014) Professor Lanne actively supervises doctoral students and serves as a pre-examiner for doctoral theses. He has secured significant research funding, most notably a major Academy of Finland project on structural analysis of non-Gaussian macroeconomic and financial time series (2022-2026). He regularly contributes to the academic community through peer review for top journals including Journal of Econometrics, Journal of Business and Economic Statistics, and Review of Economics and Statistics. He leads the Financial and Macroeconometrics research group at the University of Helsinki, which focuses on developing and applying advanced econometric methods to macroeconomic and financial problems. The group maintains active collaborations with researchers internationally and contributes to both theoretical advances in econometrics and practical applications in economic policy analysis.

Lauri Parkkonenمشاهده پروفایل

استاد

• Magnetoencephalography (MEG)
• Optically Pumped Magnetometers
• Social Neuroscience
• +۴ مورد دیگر

Lauri Parkkonen is Professor in the Department of Neuroscience and Biomedical Engineering at Aalto University. His research advances non-invasive neuroimaging through innovations in MEG instrumentation, real-time analysis, and hyperscanning techniques to study social interaction, conscious perception, and brain plasticity. Key contributions include: Development of optically-pumped magnetometer arrays for next-generation MEG Pioneering hyperscanning methods for dual-brain social neuroscience Real-time neurofeedback paradigms for plasticity and clinical applications Normative modeling approaches for traumatic brain injury detection Open-source tools for MEG/EEG analysis (MNE-Python) His group studies neural mechanisms of empathy, attention, and cross-species emotion recognition using multivariate decoding. Current projects optimize cortical parcellation for MEG connectivity analysis and develop MRI-free source imaging techniques. Honors include an ERC Starting Grant (2015) and coordination of Finland's functional brain-imaging biobank consortium.

• High Energy Physics
• Particle Physics
• Experimental Physics
• +۳ مورد دیگر

Erik Brucken is a University Lecturer at the Department of Physics, University of Helsinki, affiliated with the Faculty of Science. He is also a supervisor for doctoral programs in Particle Physics and Universe Sciences, and Materials Research and Nanosciences. Research focuses on high energy physics and experimental particle physics, particularly in CMS experiment collaborations at CERN. Active in projects like the Euroopa hiukkasfysiikan tutki (2024–2027) and ALICE Time Projection Chamber Upgrade Project (2013–2018). His research interests include Higgs boson studies, top quark dynamics, jet physics, and detector development. He has published extensively on topics such as rare decays, muon identification, and quantum entanglement in collider experiments. Advises doctoral students in particle physics and collaborates widely, participating in conferences like the International Europhysics Conference on High Energy Physics and CMS Tracker Weeks. His work contributes to advancing detector technologies and computational tools for high-energy physics.

• Geropsychology
• Wellbeing and health
• Innovation expertise
• +۹ مورد دیگر

Tuomas Leisti is a Lecturer and Doctor of Psychology (PsT) at Metropolia University of Applied Sciences, affiliated with the Wellbeing Team 3. His professional roles include teaching psychology and research methods, supervising Master's theses, and contributing to RDI (Research, Development, Innovation) projects. He holds certifications as a licensed psychologist and professional teacher (AmO), with proficiency in Finnish (native), English (excellent), Swedish (average), and German (basic). Leisti's research focuses on geropsychology, wellbeing and health, innovation expertise, cognitive psychology, and the philosophy of mind. His doctoral work explored the role of consciousness in decision-making, with prior experience in human-technology interaction. He is particularly interested in decision-making processes, problem-solving, and the metacognitive skills underlying these activities. Key projects include the Wellbeing Hybridist initiative (2021–2023) and the pan-European COMHOM project (2025–2028), which addresses homelessness through data-driven solutions. His research outputs span over two decades, emphasizing subjective image quality evaluation, cognitive modeling, and quantitative methodologies. Leisti's work integrates empirical and philosophical approaches, addressing topics such as qualia, decision heuristics, and the interplay between conscious thought and judgment. Despite no explicitly listed awards, his extensive publication record reflects sustained contributions to psychological and applied research fields.

• Biostatistics
• Public Health
• Nutrition Science
• +۴ مورد دیگر

Jaakko Nevalainen is a Professor of Biostatistics and Head of the Health Sciences Unit at the University of Tampere , Faculty of Social Sciences. His work integrates computational methods and statistical theory to address health-related research questions in nutrition, diabetes, prostate cancer, and cardiovascular disease. He leads the LoCard research consortium, developing computational methods to study food consumption and health sustainability. His research has received significant funding from the Academy of Finland and Horizon Europe, resulting in over 160 peer-reviewed publications in top journals like Statistics in Medicine , Diabetologia , and JAMA . Key research areas include biostatistical method development, health economics, and applied epidemiology. His teams collaborate with institutions like the University of Helsinki and participate in population studies such as ProScreen (prostate cancer screening) and DIPP (type 1 diabetes). Major projects focus on food purchasing patterns, obesity-related health outcomes, and sustainable dietary transitions. He has secured major grants including Academy of Finland funding for the ProScreen trial and EU Horizon grants for LoCard. His interdisciplinary approach bridges statistical innovation with real-world health challenges, emphasizing translational research and data-driven policy recommendations.

Hannu Tuuriمشاهده پروفایل

مدرس

• Market Research
• Statistics
• Multivariate Methods
• +۳ مورد دیگر

Hannu Tuuri is a Lecturer and Market Researcher at Seinäjoki University of Applied Sciences (SeAMK). Their expertise includes statistical research, multivariate methods, and proficiency in IBM SPSS Statistics and Webropol software. Hannu holds a Master of Science (MSc) in the Statistics Degree Programme. Specialties: Market research, statistics, IBM SPSS Contacts: +358408302346 | hannu.tuuri@seamk.fi Research focuses on applying statistical methodologies to market analysis and data visualization. Active in developing educational materials for applied statistics and software training within higher education contexts.

Jouni Helskeمشاهده پروفایل

پژوهشگر

• Bayesian statistics
• Causal inference
• State space models
• +۷ مورد دیگر

Jouni Helske is an Academy Research Fellow in Statistics at the University of Turku, Finland, affiliated with the INVEST Research Flagship Centre. He leads the CAUSALTIME project and is a subconsortium-PI in the PREDLIFE consortium at the University of Jyväskylä. His work bridges statistical methodology and applied research in social sciences and epidemiology. Academy Research Fellow, University of Turku PI, CAUSALTIME Project Subconsortium-PI, PREDLIFE Consortium, University of Jyväskylä Associate Editor, The R Journal and rOpenSci Open Science Ambassador, Open Science Community Turku Education: PhD in Statistics, University of Jyväskylä, Finland (2015) Jouni Helske’s research centers on developing advanced Bayesian methods for causal inference, particularly using complex multivariate time series and panel data. His expertise includes state space models, hidden Markov models, computational statistics, and probabilistic programming. He is deeply involved in statistical software development, especially in the R ecosystem, contributing to open science and reproducible research. His applied work spans sociology, education, public health, and epidemiology, where he analyzes longitudinal and sequential data to understand causal mechanisms and life course trajectories. The recent publications highlight a strong trend in methodological innovation for causal analysis in panel data, spatio-temporal disease modeling, and R package development. His work integrates Bayesian computation with real-world applications, especially in social policy and health, using historical and contemporary data. The focus on dynamic multivariate models and sequence analysis underscores his leadership in modern statistical methodology for complex data. Scientific Awards and Recognition: Academy Research Fellow (prestigious research position funded competitively) Jouni Helske has led and contributed to major research projects such as CAUSALTIME and PREDLIFE, which aim to improve policy decisions through predictive modeling of life trajectories. He mentors and collaborates widely, evidenced by his numerous co-authored publications and software projects. While no formal students are listed, his role as a project leader and software maintainer suggests significant advisory and collaborative activity. He is a key contributor to the open-source statistical community, particularly through rOpenSci and Stan. Labs and Teams: He leads the CAUSALTIME project team and is part of the PREDLIFE research consortium. He is actively involved in the R and Stan developer communities, contributing to state-of-the-art Bayesian computational tools.

Peter Österholmمشاهده پروفایل

استاد

• Acid Sulfate Soils
• Environmental Geology
• Geochemistry
• +۴ مورد دیگر

Professor Peter Österholm at Åbo Akademi University's Faculty of Natural Sciences and Engineering specializes in Environmental Geology with a focus on Acid Sulfate Soils . His work addresses critical environmental challenges through interdisciplinary approaches. 2023-2025 : Active principal researcher in two major projects, including EU BIONEER for post-mining waste management Research Themes : Geochemical remediation, microbial interactions, water quality impacts Recent publications highlight: 2025: Microbial responses to limestone/peat treatments in hypermonosulfidic sediments 2024: Machine learning applications for acid sulfate soil mapping 2023: Innovative macropore targeting to reduce acid-metal release Collaborations include European Regional Development Fund , Kiertokaari , and Finnish Transport Agency . He organized the 2024 GeoDays conference and serves as co-investigator in multiple international projects.