Find Academic Supervisors

Mia Liljeström is a Staff Scientist at the Department of Neuroscience and Biomedical Engineering, Aalto University. She holds a Doctoral Degree in Engineering and Technology from Aalto University (2010) and a Master's Degree in Engineering and Technology from Helsinki University of Technology (2002). Doctoral Degree: Aalto University, 2010 Master's Degree: Helsinki University of Technology, 2002 Her research focuses on Magnetoencephalography (MEG) , Functional Connectivity , and Brain Networks . She explores Transcranial Magnetic Stimulation (TMS) , Functional MRI , and Neural Networks to map language-critical brain areas and study cortical dynamics. Recent work includes automated speech artefact removal from MEG data and test-retest reliability of brain connectivity metrics. Mia actively participates in conferences like MEG Nord and has presented invited talks on language processing and large-scale brain networks. Her publications emphasize MEG-informed TMS, cortical beta modulation, and brain stimulation precision. She contributes to the UN Sustainable Development Goal of Quality Education through neuroimaging research.

• Magnetoencephalography
• Functional Connectivity
• Brain Networks
• +3 more

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

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +4 more

Veikko Jousmäki is a Senior Scientist at Aalto University's Department of Neuroscience and Biomedical Engineering. He holds honorary visiting roles at institutions like the Cognitive Neuroimaging Centre (Nanyang Technological University) and the Karolinska Institutet. His research focuses on magnetoencephalography (MEG), motor and sensory systems, and brain networks involved in movement and perception. He was awarded the Grant Runar Bäckström Foundation Prize in 2003. Education: Doctoral degree in Natural Sciences, University of Kuopio (2000) Master's degree in Natural Sciences, University of Kuopio (1993) Bachelor's degree in Natural Sciences, University of Kuopio (1986) Research Interests: Jousmäki's work explores MEG applications in studying brain dynamics during motor actions, sensory processing, and clinical conditions like essential tremor and alcohol use disorder. His studies often integrate multimodal neuroimaging techniques to map cortical and subcortical networks. Awards and Grants: Grant Runar Bäckström Foundation Prize (2003) Principal investigator for projects including MEG infrastructure upgrades (2022–2040) and sensorimotor mapping studies. Collaborations and Activities: Jousmäki has collaborated internationally, including with the Karolinska Institutet and Nanyang Technological University. He actively participates in conferences, workshops, and public lectures on neuroimaging and neuroscience. His work contributes to Sustainable Development Goal 3 (Good Health and Well-being). Labs and Facilities: Leads MEG research at Aalto University, focusing on developing advanced neuroimaging tools and protocols. Collaborates on projects involving TMS, fMRI, and haptic stimulation technologies.

• Magnetoencephalography
• Neuroscience
• Motor Cortex Mapping
• +3 more

Teppo Särkämö is an Associate Professor of Neuropsychology at the Department of Psychology and Logopedics , Faculty of Medicine , University of Helsinki. He serves as a Senior Scientist at the Cognitive Brain Research Unit (CBRU) and leads the Music, Ageing and Rehabilitation Team (MART) . His research focuses on the neural mechanisms of music and speech perception , their deficits ( aphasia, amusia ), and music-based rehabilitation in neurological disorders like stroke and Alzheimer's disease. Key research areas: Neuropsychology, Cognitive neuroscience, Music therapy, Aging, Neuroplasticity, Neurology His ERC-funded projects investigate singing in normal aging, music-evoked emotions in dementia, and structural brain connectivity in aphasia. Recent publications highlight music's role in enhancing neural plasticity and rehabilitation outcomes through longitudinal and clinical studies. Scientific honors: Cortex Prize (2017) Doctoral Thesis Prizes (2011) Göttinger Innovatiospreis (2009) Publication of the Year (2008) He supervises doctoral and master's theses, including work by Nella Moisseinen , and actively engages in public outreach through lectures and media interviews.

• Neuropsychology
• Music perception
• Speech processing
• +6 more

Ilkka Laakso is an Associate Professor at Aalto University's Department of Electrical Engineering and Automation, leading the Electromagnetics in Health Technology research group. His work focuses on computational methods for multi-physics modeling of the human body, particularly in non-invasive brain stimulation and electromagnetic safety assessments. He holds a Doctoral degree (2011) and Licentiate degree (2009) in Engineering from Aalto University and Helsinki University of Technology. Research interests include bioelectromagnetism, neuroimaging, and neurostimulation techniques such as TMS and tDCS. Key projects include VESTI R2B (2025–2026) and PRENIBS (2024–2028), advancing predictive models for brain stimulation. He has been awarded the IEEE Electromagnetic Compatibility Society Technical Achievement Award (2021) and the Ericsson Young Scientist Award (2011). Notable contributions include developing the SHARM head anatomical reference models, computational tools for TMS activation site localization, and studies on vestibular system stimulation. His work aligns with UN Sustainable Development Goals related to health and well-being. Current research emphasizes optimizing stimulation protocols for clinical safety and efficacy.

• Bioelectromagnetism
• Neuroscience
• Neuroimaging
• +4 more

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
• Speech Processing
• Developmental Language Disorders
• +9 more

Leena Lauronen is an Assistant Professor at the Department of Neurosciences , University of Helsinki , and a supervisor in the Doctoral Programme Brain & Mind and Doctoral Programme in Biomedicine . She works within the BioMag Laboratory under HUS Physiology, Genetics and Preanalytics , focusing on HUS Children's and Adolescent Diseases . Her research integrates neurosciences and clinical neurophysiology to study brain development from infancy to adolescence, particularly in preterm and neurodevelopmentally at-risk populations. She employs advanced techniques like EEG and ECG-derived tachograms to map brain function trajectories and explores spinal cord plasticity in response to cortical stimulation. Recent work includes epilepsy surgery diagnostics and neurodevelopmental assessment tools . Dr. Lauronen’s publications reveal a focus on neurodevelopmental disorders , pediatric neurology , and biomedical signal processing . Her methodological expertise spans stereoelectroencephalography , transcranial magnetic stimulation , and machine learning applications in neurology.

• Neurosciences
• Child Neurology
• Clinical Neurophysiology
• +5 more

Victor Souza is a Research Fellow at the Department of Neuroscience and Biomedical Engineering, Aalto University. He holds a Doctoral degree, Master's degree, and Bachelor's degree in Engineering and Technology from Universidade de São Paulo. His research focuses on Transcranial Magnetic Stimulation (TMS) , Brain Mapping , and Neuromodulation . Education PhD in Engineering and Technology (2018) MS in Engineering and Technology (2014) BS in Engineering and Technology (2011) His recent publications explore topics like: Multi-coil TMS for ultra-high-field MRI Pulse-width modulation in neurostimulation Electric-field orientation in cortical activation Scientific awards include: Early Career Researcher Award (2022) Professor José Leite Lopes Doctoral Thesis Prize (2022) Real-time tractography-based neuronavigation award (2021) He develops open-source tools like DELMEP (automated MEP annotation) and SignalHunter (electrophysiological data analysis). Media coverage highlights his work on TMS applications for depression and pain treatment (2022) and magnetic field therapy (2023).

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation (TMS)
• +5 more

Olli Gröhn is a Professor at the A.I. Virtanen Institute for Molecular Sciences, Faculty of Health Sciences, University of Eastern Finland. His research focuses on biomedical MRI , neuroimaging, traumatic brain injury (TBI), and epileptogenesis. He leads projects including Neuro-Innovation (2021–2026) and the NOVEL MSCA Postdoctoral Programme (2024–2029), advancing preclinical MRI methodologies. Dr. Gröhn's work emphasizes the development of novel MRI techniques—such as zero-echo-time fMRI and multi-coil TMS—for studying brain function, neurodegeneration, and injury biomarkers. His research spans: Functional and structural brain mapping in rodent models Biomarker discovery for post-traumatic epilepsy Advanced neurostimulation integrated with ultra-high-field MRI Sensory processing and neural circuit analysis His recent publications (2022–2025) demonstrate strong trends in quantitative MRI validation, multi-modal biomarker development, and innovative neuroimaging protocols for awake animal studies. Research frequently addresses TBI mechanisms, Alzheimer's pathology, and translational neurotechnology refinement. Dr. Gröhn collaborates extensively in multicenter consortia (e.g., EpiBioS4Rx) to standardize preclinical neuroimaging and enhance reproducibility in biomarker studies.

• Biomedical MRI
• Neuroimaging
• Traumatic Brain Injury
• +3 more

Ilmari Kurki is a Lecturer at the Department of Psychology, University of Helsinki. He supervises doctoral programs in Human Behavior, Cognition, Learning, Teaching, and Communication. His research spans cognitive psychology, neuroscience, and visual perception. Current project: Decision Making and Attention in Dynamic Visual Environments (2024–). Former project: Multisensory Signals and Meanings (SigMe) (2011–2020). His recent publications focus on retinotopic MEG responses, stress adaptation, and visual working memory mechanisms. Kurki has collaborated with institutions like the University of California, Santa Barbara, and contributed to journals such as NeuroImage and Psychological Research . He has served as a visiting researcher at the Department of Psychological and Brain Sciences, UCSB, and conducted peer review for journals like Journal of Vision . His work involves attention dynamics, multisensory integration, and cognitive stress responses.

• Cognitive Psychology
• Neuroscience
• Visual Perception
• +3 more

Juha Gogulski serves as a Postdoctoral Researcher in the Department of Neuroscience and Biomedical Engineering at Aalto University's School of Science. His research focuses on advancing transcranial magnetic stimulation (TMS) techniques for clinical neuroscience applications, particularly in depression treatment and cortical excitability mapping. Dr. Gogulski's research centers on non-invasive brain stimulation with expertise in Transcranial Magnetic Stimulation (TMS) , fMRI integration , and cortical excitability assessment . His work targets depression treatment optimization , language mapping , and somatosensory representation , emphasizing individualized therapeutic approaches through multimodal neuroimaging. Key methodologies include real-time TMS parameterization, sensory-entrained stimulation, and network engagement analysis prior to intervention. Analysis of his 15 most recent publications reveals dominant trends in clinical translation of brain stimulation (73%), depression treatment innovation (67%), and multimodal neuroimaging integration (53%). His research consistently bridges fundamental neuroscience with therapeutic applications, particularly in treatment-resistant depression where conventional pharmacotherapy fails. Recent work demonstrates rapid symptom remission within weeks using personalized TMS protocols developed through Helsinki-Stanford collaborations. His media engagements highlight significant clinical impact, with 6 press appearances in 2024-2025 discussing breakthroughs in depression treatment where patients achieved symptom remission within weeks. Finnish media extensively covered his collaborative research with Stanford University on individualized magnetic stimulation for depression management. Dr. Gogulski actively collaborates across international networks, with recent external partnerships spanning 12 similar research profiles focused on transcranial magnetic stimulation (100%), evoked potential studies (67%), and dorsolateral prefrontal cortex research (67%). His work contributes to UN Sustainable Development Goals through neuroscience applications for mental health improvement.

• Neuroscience
• Transcranial Magnetic Stimulation
• Cortical Excitability Mapping
• +3 more

Heidi Ala-Salomäki is a Visiting Professor at the Department of Neuroscience and Biomedical Engineering at Aalto University. Her research focuses on neuroimaging techniques such as magnetoencephalography (MEG), with emphasis on understanding brain function in language processing, sensorimotor systems, and auditory perception. Education: Doctor of Science (Technology) in Applied Physics (teknillinen fysiikka) - Aalto University (2024) Master's degree in Social Sciences - University of Helsinki (2014) Research Interests: Dr. Ala-Salomäki investigates cortical activation patterns and functional connectivity through MEG, focusing on topics like evoked responses, test-retest reliability of neural metrics, and multisensory integration. Her work bridges neuroscience with biomedical engineering, contributing to clinical applications in neuroimaging. Publications Trends: Recent work emphasizes methodological advancements in MEG analysis, reliability of neural measurements, and translational applications in language and sensorimotor neuroscience. Key themes include independent component analysis, resting-state beta events, and cortical language function metrics. Awards/Affiliations: While no specific prizes are listed, her academic achievements include advanced degrees in both engineering and social sciences, reflecting interdisciplinary expertise. Grants & Advising: No specific grants or student advisement details are provided in the text. Her research collaborations span institutions like the University of Helsinki and international partnerships in neuroscience.

• Neuroscience
• Biomedical Engineering
• Neuroimaging
• +3 more

Hanna-Maija Lapinkero is a Project Researcher at the University of Jyväskylä's Department of Teacher Education within the Faculty of Education and Psychology. Her research focuses on cognitive neuroscience, particularly exploring how physical activity and aging affect neural dynamics, attention, and executive functions. She collaborates with the InterLearn Centre of Excellence, investigating learning dynamics and interventions in educational settings. Research areas: Cognitive aging, neuroplasticity, developmental psychology, and the impact of physical activity on brain function. Her work bridges educational neuroscience and gerontology, analyzing neural correlates of cognitive processes like attention and memory in both elderly and adolescent populations. She has published in journals such as Human Brain Mapping and Brain Research , contributing to understanding how exercise and cognitive training influence brain activity in older adults. Key contributions include studies on the relationship between executive skills and neural dynamics in visual information processing, as well as the effects of physical fitness on anticipatory attention in adolescents. Lapinkero is part of the EarlyMath project, examining early mathematical skill development in children from infancy to school age, aiming to identify pathways leading to learning difficulties in mathematics.

• Psychology
• Educational Neuroscience
• Cognitive Aging
• +3 more

Riitta Salmelin is a Professor at Aalto University, affiliated with the Department of Neuroscience and Biomedical Engineering. Her research focuses on noninvasive neuroimaging techniques such as MEG and fMRI to investigate the neural basis of human cognition, particularly language function. She explores how computational models can bridge behavioral and neuroimaging data to understand language processing in health and disorders. Her work emphasizes interdisciplinary approaches, combining experimental neuroscience with machine learning and language technology. Key research interests include cortical dynamics during language tasks, developmental language disorders, and the heritability of neural activity. She develops methods to analyze MEG data reproducibly and collaborates on clinical applications like dementia risk screening using AI tools. Her studies often involve children and adult populations, addressing topics such as speech perception, semantic processing, and neural connectivity. Publications highlight advancements in decoding semantic representations, improving MEG signal analysis, and understanding individual differences in brain activity. Her contributions advance both fundamental neuroscience and translational applications in clinical settings.

• Neuroimaging
• Brain Research
• Language Function
• +6 more

Risto Ilmoniemi is a Senior Advisor at the Department of Neuroscience and Biomedical Engineering, Aalto University. He has pioneered innovations in magnetoencephalography (MEG) and transcranial magnetic stimulation (TMS), including the minimum-norm estimate, signal-space projection, and navigated TMS (nTMS). He founded Nexstim Plc, commercializing TMS-EEG and nTMS, and currently leads development of multi-locus TMS (mTMS) and hybrid MEG-MRI systems. His work bridges physics, engineering, and clinical neuroscience. Affiliation : Aalto University, Department of Neuroscience and Biomedical Engineering Expertise : Biodesign, Human brain imaging, Electromagnetism, Neurotechnology, Medical Technology His research focuses on bioelectromagnetism , brain connectivity , and mathematical methods for solving inverse problems in brain signal analysis. He develops closed-loop TMS systems and hybrid imaging modalities like MEG-MRI, with applications in neuroscience and clinical diagnostics. His work emphasizes real-time tractography , electromagnetic modeling , and personalized neuromodulation . The 15 most recent articles highlight his leadership in advancing multi-locus TMS , EEG forecasting , and neuroimaging-guided stimulation . Key trends include state-dependent stimulation protocols , hidden Markov modeling of brain dynamics , and open-source tools for closed-loop systems . Scientific Awards : World Technology Award Finalist in Health & Medicine (2013) Fellow of EAMBES (2015) Finnish Academy of Science and Letters (2008) Innovation of the Year Award (2017) Innosuomi 2004 Prize First prize in Medical Technology competition (1997) His career spans founding a neurotech company, inventing brain imaging techniques, and co-developing MEG , TMS , and hybrid systems . He collaborates with the BioMag Laboratory and Aalto Brain Centre , mentoring researchers in neurostimulation and brain modeling .

• Neuroscience
• Biomedical Engineering
• Neurotechnology
• +5 more