جست‌وجوی استاد و پژوهشگر

Teemu Roosمشاهده پروفایل

استاد

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

Teemu Roos is a Professor at the Department of Computer Science , University of Helsinki , and a Principal Investigator for the Complex Systems Computation Group under the Helsinki Institute for Information Technology. He serves as a Supervisor for the Doctoral Programme in Computer Science and leads multiple research initiatives, including Distributed AI in Supercomputing , AI & Kids , and Generation AI . Dr. Roos also holds a Docent title in Computer Science. His research spans Artificial Intelligence , Machine Learning , and Data Science , with a focus on AI education , graph neural networks , Bayesian modeling , and health informatics . He has pioneered tools like Elements of AI , a free online course now translated into 22 EU languages, and explores the ethical implications of AI-generated content in authorship and inventorship. The 15 most recent publications highlight applications in environmental forecasting (e.g., Mediterranean Sea via graph-based deep learning), healthcare (e.g., skin cancer detection with transfer learning), and social media analysis (e.g., explainable AI platforms for K-12 education). Methodologically, his work advances clustering algorithms , dimensionality reduction , and approximate nearest neighbor search . Scientific Awards: Cor Baayen Award (2009) Nokia Foundation Recognition Award (2019) Best Paper Honorable Mention Award (2013) ICT Influencer of the Year 2019 (Vuoden TiVi-vaikuttaja 2019) World Summit AI's Top-50 Innovators in 2020 Dr. Roos has supervised 2 doctoral students and contributed to 163 academic activities , including invited talks at MIT, University of Cambridge, and the Finnish Institute in Rome. He has secured funding from the Academy of Finland and the Strategic Research Council, focusing on projects like Fast AI-assisted Space Environment Prediction and Urban Exerciser .

Suvi Saarikallioمشاهده پروفایل

استاد

• Music Psychology
• Music Education
• Music Therapy
• +۷ مورد دیگر

Suvi Saarikallio is a Professor of Music Education at the University of Jyväskylä, Finland , affiliated with the Faculty of Humanities and Social Sciences and the Department of Music, Art and Culture Studies . She leads interdisciplinary research bridging music psychology, education, and therapy, with a focus on youth development, emotion regulation, and well-being. Research Groups: Centre of Excellence in Music, Mind, Body and Brain (2022-2029), Musiconnect (2022-2027) Key Projects: Music and You, Stress & music listening, MPACT (Music and Sports), Music and Cross-modal Associations, SOSUS (Social Sustainability for Children) Research Trends: Her recent publications explore music's role in emotional regulation, cross-modal perception, health outcomes, and educational applications. Themes include AI's impact on music evaluation, rhythm's connection to cognitive skills, and music's influence on stress and social-emotional development. Contact: suvi.saarikallio@jyu.fi

• Deep Learning
• Automatic Speech Recognition (ASR)
• Spoken Language Modeling
• +۳ مورد دیگر

Mikko Kurimo is a Full Professor at Aalto University's Department of Information and Communications Engineering, School of Electrical Engineering. He earned his M.Sc., Lic.Tech., and D.Sc.(Tech.) from Helsinki University of Technology (1992, 1994, 1997) and pioneered neural networks for automatic speech recognition (ASR) in his PhD thesis. After research roles at IDIAP (Swiss AI center) and visiting positions at University of Colorado, Edinburgh, SRI, ICSI, and Nitech, he leads Aalto's ASR group since 2000. His work focuses on unsupervised subword modeling for morphologically complex languages (Finnish, Estonian, Turkish, Arabic) and large speech foundation models. PhD in Neural ASR (Helsinki University of Technology, 1997) Research Scientist at IDIAP (Switzerland) Visiting Fellow at University of Colorado, Edinburgh, SRI, ICSI, Nitech Head of Aalto ASR Group (2000-present) His research spans deep learning for ASR, spoken language modeling , and low-resource language solutions . Recent work explores continued pre-training of self-supervised models, multimodal emotion recognition, and pronunciation assessment using LLMs. He led the winning team in the 2017 Multi-Genre Broadcast challenge and secured competitive funding in Tekes Challenge Finland and EC's H2020-ICT-2017. Key article trends include: Advancements in children's speech recognition and dysarthric speech processing Integration of generative AI for language learning feedback Specialization in low-resource Uralic languages (Finnish, Northern Sámi) Development of robust ASR systems for complex phonetic environments Scientific Awards ACM Multimedia 2023 Computational Paralinguistics Challenge Prize First place in MGB3 2017 Arabic ASR Challenge ISCA Best Student Paper Award (2011) Professeur Invité at Université de Saint-Etienne (2005-2006) Royal Society International Short Visit Fellowship (2004) Professor Kurimo leads the Speech Recognition Group at Aalto, collaborating with COIN (Centre of Excellence in Computational Inference) and AIRC (Adaptive Informatics Research Centre). His projects like CaptainA mobile app demonstrate practical applications of ASR in language education. He has supervised numerous publications with co-authors in domains spanning bandwidth extension, stuttering detection, and speech sound disorder assessment.

Virpi Vellonenمشاهده پروفایل

مدرس

• Special Education
• Educational Technology
• Autism Spectrum Disorders
• +۳ مورد دیگر

Virpi Vellonen is a Lecturer at the University of Eastern Finland , affiliated with the Special Education department under the School of Educational Sciences and Psychology . Her work focuses on leveraging educational technology to support children with autism spectrum disorders (ASD) , emphasizing inclusive pedagogy and student well-being . She has led projects like Student Teacher Well-Being: Deepening Understanding and Building Support (STeWDUBS) , which explored stress and resilience in teacher training. Research Interests : Designing technology-enhanced learning environments for ASD students, strength-based educational models , and DIY (do-it-yourself) educational tools . Key Contributions : Validating inclusion measures in Finnish higher education, analyzing narrative research in teacher well-being, and pioneering participatory design with ASD children and families. Email : virpi.vellonen@uef.fi

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +۴ مورد دیگر

Iiro Jääskeläinen is a Professor at the Department of Neuroscience and Biomedical Engineering, Aalto University. His research focuses on using naturalistic stimuli such as movies and narratives during non-invasive neuroimaging to explore human social cognition and emotions in health and disorders. He employs advanced neuroimaging techniques including functional magnetic resonance imaging (fMRI) and magnetoencephalography/electroencephalography (MEG/EEG), alongside behavioral measures, to address the complexity of brain data. Professor at Aalto University Department of Neuroscience and Biomedical Engineering Research Interests His work pioneers the use of model-free inter-subject correlation approaches to study prefrontal cortical functions during media-based naturalistic stimuli. He has contributed to developing inter-subject phase synchrony and complex network physics-based analyses to examine brain activity during emotionally engaging drama films. Prior research focused on the neural and neurotransmitter basis of auditory cognition. Publication Trends Recent articles (2023-2025) span journals like NeuroImage , Neuropsychologia , and Imaging Neuroscience , emphasizing social cognition, emotion processing, and novel neuroimaging methodologies. Topics include intergroup bias, brain fingerprinting, developmental motor perception, and neural correlates of emotional dynamics. Scientific Awards Monetary award for high-quality teaching at Helsinki University of Technology Award or honor granted for academic or artistic career

Ulla Richardsonمشاهده پروفایل

استاد

• Technology-Enhanced Language Learning
• Experimental Psycholinguistics
• Speech Processing
• +۳ مورد دیگر

Ulla Richardson is a Professor at the Centre for Applied Language Studies, part of the Faculty of Humanities and Social Sciences at the University of Jyväskylä. She serves as Vice Head of Department and holds a docentship in experimental psycholinguistics and speech processing at the Department of Languages. Richardson leads the UNESCO Chair on Inclusive Literacy Learning for All and the secretariat of the GraphoWORLD Network of Excellence, while also directing the multidisciplinary GraphoLearn (GraphoGame)/Ekapeli research team. Fields of Interest: Reading and writing skill development, dyslexia, phonology, speech processing, evidence-based technology in language learning, and cross-linguistic literacy interventions. Her research focuses on creating and validating digital learning environments like GraphoLearn (info.GraphoLearn.com), which supports reading and spelling skill development in 30 languages. She has conducted extensive randomized controlled trials in diverse contexts, including India and China, and collaborates on projects like LearnDigi (funded by the Academy of Finland) to study digitalization’s impact on learning. Her recent publications highlight trends in randomized trials, computational frameworks for literacy assessment, and adaptive learning tools for multilingual settings. Scientific Awards: UNESCO Chair on Inclusive Literacy Learning for All Richardson actively advises multidisciplinary teams, including her leadership in the GraphoLearn Rime intervention studies and collaborations with researchers like Heikki Lyytinen. Her work spans neurocognitive predictors of reading outcomes, phonological awareness training, and global literacy initiatives. She contributes to projects such as Lohkanlihkku (Sámi language literacy) and LearnDigi, emphasizing technology’s role in education.

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.

Elina Mainela-Arnoldمشاهده پروفایل

استاد

• Speech and Language Development
• Developmental Language Disorder
• Specific Language Impairment
• +۷ مورد دیگر

Elina Mainela-Arnold is a Professor and Head of the Department of Psychology and Speech-Language Pathology at the University of Turku, Finland. She earned her Ph.D. in Communicative Disorders and Psychology from the University of Wisconsin-Madison and her Master’s in Speech-Language Pathology from the University of Helsinki. She previously served as an assistant professor at Penn State University and the University of Toronto. Research Interests: Her research investigates domain-general cognitive mechanisms in language acquisition, focusing on individual differences in children with typical development and those with Developmental Language Disorder (DLD). She explores bilingualism, cognitive processing, and neurocognitive underpinnings of language learning. Her work informs both theoretical models and clinical practice. Recent Research Trends: Her recent publications highlight auditory processing, procedural learning, intra-individual variability, and non-linguistic cognitive predictors in language development. She uses ERP, longitudinal cohort data (e.g., FinnBrain), and cross-linguistic designs to examine language outcomes in monolingual and bilingual children. Scientific Awards and Recognition: Contributor to the CATALISE international consensus panel (2016–2017), which established evidence-based diagnostic criteria for childhood language impairments. Her research influenced the adoption of the term Developmental Language Disorder in the ICD-11. Advising and Grants: She mentors Bachelor’s, Master’s, and Doctoral thesis students. While specific grant details are not listed, her involvement in large-scale studies like FinnBrain and international collaborations indicates active grant-funded research. She teaches courses such as Language Across the Lifespan, Bilingualism, and Cognitive Processes. Labs and Teams: She is affiliated with the FinnBrain Birth Cohort Study and the InterLearn research group, engaging in interdisciplinary research at the intersection of psychology, neuroscience, and speech-language pathology.

Ritva Torppaمشاهده پروفایل

مدرس

• Logopedics
• Psychology
• Cognitive Neuroscience
• +۷ مورد دیگر

Ritva Torppa is a University Lecturer in Speech-Language Pathology at the University of Helsinki , with an Associate Professor (Docent) position at the University of Turku. Her research focuses on leveraging musical activities and singing to enhance speech perception, language skills, and cortical functioning in children with hearing impairments, particularly cochlear implant users. Her work integrates Event-Related Potentials (ERPs) with behavioral experiments and language assessments to explore auditory processing and rehabilitation strategies. She leads projects like MULAPAPU , which examines music's role in speech recovery, and contributes to initiatives like Harmonian palautuminen , studying music perception in cochlear implant recipients. Torppa’s recent publications highlight cross-cultural studies on parental engagement, screen time effects, and longitudinal cortical changes linked to singing. Her research emphasizes music-based therapeutic interventions and auditory working memory as critical for language development in hearing-impaired children. Scientific Awards Best Student Paper Award (2010) Honored member of LapCI ry (2017) Activities Organized international conferences on cochlear implants and music therapy Keynote speaker on music’s role in speech rehabilitation Peer reviewer for journals like Hearing Research and Journal of Speech, Language, and Hearing Research

Mikko Aroمشاهده پروفایل

استاد

• Special Education
• Educational Psychology
• Learning Disabilities
• +۵ مورد دیگر

Mikko Aro is a Professor of Special Education at the University of Jyväskylä, affiliated with the Department of Education within the Faculty of Education and Psychology. He co-directs the Center of Excellence in Learning Dynamics and Intervention Research (InterLearn), funded by the Academy of Finland (2022–2029). His research focuses on learning disabilities, particularly in literacy and mathematics, and the development of effective interventions. Aro holds a PhD in Psychology from the University of Jyväskylä and has extensive international training in child neuropsychology and neuropsychology. His research interests span typical and atypical learning processes, including the role of cognitive, motivational, and emotional factors in skill acquisition. He has led projects on learning difficulties, intervention efficacy, and assessment practices. Key contributions include studies on reading fluency, math anxiety, and the integration of self-efficacy interventions into educational strategies. Aro’s extensive publications reflect his commitment to advancing understanding of learning disabilities and improving educational support systems. He collaborates with institutions like the Finnish National Agency for Education and the European Commission on projects addressing teacher training, assessment methodologies, and multisite cohort studies. His work emphasizes evidence-based interventions, such as computer-assisted training for struggling readers and strategies to enhance self-efficacy. He advocates for clearer frameworks in educational support, particularly through the Response-to-Intervention (RTI) model. Aro’s research bridges cognitive science, educational policy, and practical classroom applications, aiming to create inclusive and effective learning environments.

Anni Noraمشاهده پروفایل

استادیار مهمان

• Neuroscience
• Speech Processing
• Developmental Language Disorders
• +۹ مورد دیگر

Anni Nora is a Visiting Assistant Professor at the Aalto University Department of Neuroscience and Biomedical Engineering , where she investigates neurocognitive mechanisms underlying speech and language processing. She earned her Master's degree in Social Sciences University of Helsinki in 2011 and leads the RCF Academy Project (2020-2025) focused on developmental language disorders and dyslexia. Her research integrates magnetoencephalography (MEG) and machine learning to study cortical dynamics in word learning , phonological processing , and memory systems . Active project: Developmental Language Disorder (Principal Investigator, 2020-2025) Key collaborations: University of Jyväskylä , University of Helsinki Her work explores speech processing and phoneme recognition deficits in children with developmental disorders. She has published extensively on cortical tracking mechanisms, temporal lobe function, and auditory cortex abnormalities. Her 2024 article in the Journal of Neuroscience demonstrated impaired speech cortical tracking in developmental language disorder, while her 2021 NeuroImage study linked dyslexia risk to left-hemispheric memory deficiencies . Earlier research (2017-2020) examined right-lateralized word learning , dynamic time-locking , and phonological short-term memory . She has presented findings at conferences since 2014, including 2023-2022 talks on speech processing deficits and 2017-2019 presentations on phonological learning. Media outlets like Aalto University Press (2021) and international news platforms have highlighted her work on nonsense word learning and dyslexia risk .

• Neuroscience
• Biomedical Engineering
• Cognitive Neuroscience
• +۶ مورد دیگر

Maksym Tokariev is a Visiting Professor at the Department of Neuroscience and Biomedical Engineering. His research focuses on advanced neuroimaging techniques and cognitive development in children. Education: Diplomi-insinöörin tutkinto (MSc equivalent) from M. Zhukovsky National Aerospace University (2011) Research Expertise spans functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and transcranial magnetic stimulation (TMS) for studying: Working memory networks White matter microstructure Functional connectivity in developing brains Neurodevelopmental consequences of preterm birth Temporal lobe epilepsy in children Brain mapping of sensory representations Publications demonstrate consistent contributions to pediatric neuroscience since 2015, with recent work integrating fMRI and TMS for multimodal neuroimaging. Research trends show increasing focus on network neuroscience and developmental cognitive disorders.

Paula Maarit Virtalaمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Developmental Psychology
• Music Cognition
• +۳ مورد دیگر

Paula Maarit Virtala is a University Researcher at the Department of Psychology, Faculty of Medicine, University of Helsinki, and a key member of the Cognitive Brain Research Unit (CBRU). She serves as supervisor in multiple doctoral programs (Human Behavior; Cognition, Learning, Teaching and Communication; Brain & Mind) and acts as deputy director for Professor Teija Kujala's project within the Academy of Finland's Centre of Excellence for Music, Mind, Body and Brain Research (2022-2029). Education: PhD in Psychology Her research integrates cognitive neuroscience and developmental psychology to investigate infant neural mechanisms of speech processing, language acquisition, and dyslexia risk. Using event-related potentials (ERPs), she examines how auditory novelty detection and speech encoding evolve from birth through early childhood, with particular focus on identifying neural predictors of language outcomes and evaluating music-based interventions for at-risk populations including preterm infants. Analysis of her 2024-2025 publications reveals consistent methodological approaches using ERP paradigms to track developmental trajectories of speech processing. Key thematic threads include the relationship between infant neural responses and later language/reading skills, minimal impact of dyslexia risk on early neural maturation, and the potential of music activities to enhance language development in vulnerable populations. Virtala actively mentors doctoral candidates across multiple programs and secures competitive funding, including a €15,000 grant from Signe and Ane Gyllenbergs stiftelse (2024-2025) and participation in the Academy of Finland's Centre of Excellence (2022-2029). Her work demonstrates strong translational potential for early identification of language disorders and development of evidence-based interventions. She contributes to the Cognitive Brain Research Unit and the Centre of Excellence for Music, Mind, Body and Brain Research, collaborating with multidisciplinary teams spanning neuroscience, psychology, and clinical medicine to advance understanding of music-cognition interactions across the lifespan.

• Neurodevelopmental disorders
• Digital learning
• Learning difficulties
• +۳ مورد دیگر

Paavo Leppänen is a Professor of Psychology at the University of Jyväskylä’s Department of Psychology and Director of the Centre of Excellence for Learning Dynamics and Intervention Research (InterLearn CoE) within the Faculty of Education and Psychology. His research focuses on neurodevelopmental disorders, digital learning, and the interplay between learning and mental health. He leads projects like the InterLearn CoE (2022–2029) and has been Principal Investigator for European and Finnish initiatives such as the Neo-PRISM-C ETN (2019–2023) and the eSeek project (2014–2017). His work combines EEG, MEG, and eye-tracking methods to study learning interventions and neurocognitive risk factors. Leppänen’s research spans neurodevelopmental disorders (e.g., reading, math, attention difficulties), foreign language learning, and digital learning challenges. Key projects include examining learning support effectiveness and the brain mechanisms underlying reading difficulties. He has coordinated multidisciplinary efforts like the Collaborative Problem Solving and Online Inquiry project (2018–2023), integrating neuroscience with educational practice. His publications address topics such as ERP studies in language processing, cognitive development, and online inquiry skills. He collaborates internationally through grants like the EU’s ChildBrain and PredictAble networks. Current projects emphasize translating research into practical interventions for children’s learning and mental health.

Marja Laasonenمشاهده پروفایل

استاد

• Clinical Neuropsychology
• Developmental Language Disorders
• Learning Difficulties
• +۳ مورد دیگر

Marja Laasonen is Professor and Head of Logopedics at the University of Eastern Finland's School of Humanities, with additional roles as Adjunct Professor at the University of Helsinki and Research Director at Helsinki University Hospital. She holds expertise in psychology, clinical neuropsychology, and education. Her research focuses on developmental and learning difficulties including dyslexia, ADHD, autism spectrum disorders, and developmental language disorder, which she investigates through multidisciplinary approaches spanning genetics, brain imaging, multilingualism, and machine learning. Her current longitudinal project examines developmental language disorder using advanced methodologies such as international cohort comparisons and registry-based research. In education development, Laasonen promotes blended learning, digital practices, and AI applications, including AI-driven science communication initiatives to increase public accessibility of scientific knowledge.