جست‌وجوی استاد و پژوهشگر

Imtiaj Ahmedمشاهده پروفایل

پژوهشگر

• Computer and Information Sciences
• Affective Interaction
• Virtual Reality
• +۳ مورد دیگر

Imtiaj Ahmed is a Postdoctoral Researcher at the Department of Computer Science, University of Helsinki, within the Faculty of Science. His research focuses on affective interaction, virtual reality, and haptic feedback, with a particular emphasis on designing immersive systems that integrate biosensors and emotive agents. He is actively involved in two Academy of Finland-funded projects: MyModel (2023-2027), exploring interactive recommendation models, and Aivojoukkoistaminen affektiivisten piirteiden ennustamiseen (2022-2025), which addresses affective prediction systems. Research interests center on leveraging haptic technology and large language models to enhance user experiences in virtual environments. His work examines how haptic feedback influences emotional engagement and social interaction with virtual agents, with applications in healthcare, education, and human-computer interaction. He also investigates neural interfaces and their impact on time perception within virtual settings. Recent publications explore topics such as 5G network latency, disease detection via CNNs, and sustainable e-waste management. His interdisciplinary projects involve collaborations with researchers in cognitive science and engineering, aiming to bridge gaps between technology and human-centric design. In grants and advising, Ahmed contributes to Academy of Finland initiatives, fostering innovation in interactive systems and affective computing. His work often involves team-based approaches, combining computational methods with social and psychological insights to drive advancements in embodied interaction. While no specific labs are mentioned, his research aligns with the broader goals of the Department of Computer Science at the University of Helsinki, focusing on cutting-edge technological solutions with societal impact.

Jaakko Kuorikoskiمشاهده پروفایل

استاد

• Philosophy of Science
• Social Sciences
• Causal Reasoning
• +۵ مورد دیگر

Jaakko Kuorikoski is a Professor of Practical Philosophy at the University of Helsinki's Faculty of Social Sciences, specializing in the philosophy of science. His research focuses on scientific explanation and understanding, causal reasoning, modeling/simulation in social sciences, and the societal use of scientific knowledge. He leads a research project on data-driven social science funded by the Academy of Finland, affiliated with the TINT – Centre for Philosophy of Social Science. His work bridges interdisciplinary challenges in science and policy, emphasizing epistemic diversity and evidential methods. Research Interests: Scientific Explanation & Understanding Causal Mechanisms Data-Driven Methodologies Science-Policy Interfaces Ethics of AI & Scientific Trustworthiness Key Projects: "Making data speak: Towards a philosophy of data-driven social science" (2023–2027) "Social and Cognitive Diversity in Science" (2018–2022) Advising & Grants: Supervises doctoral students in Social Sciences and Philosophy programs, with extensive grant funding from national and international bodies. Active in peer review and academic leadership roles. Labs/Teams: Core member of TINT Centre, collaborating internationally on projects like modeling cognitive diversity and interdisciplinary problem-solving frameworks.

• Neuroscience
• Psychology
• Neuroimaging
• +۵ مورد دیگر

Tiina Parviainen is an Associate Professor of Neuroscience at the Department of Psychology, University of Jyväskylä, and Director of the Center for Interdisciplinary Brain Research (CIBR). She holds a Ph.D. from Aalto University (2007) and completed postdoctoral work at Oxford University. Her research focuses on neuroimaging (MEG, EEG) to study brain and autonomic nervous system dynamics in development and adulthood, emphasizing cortical plasticity, body-brain interactions, and individual variation in cognitive performance. **Affiliations**: Faculty of Education and Psychology, University of Jyväskylä; CIBR Director. **Follow-up Groups**: CIBR, PSY, JYU.Well. **Projects**: Principal Investigator in projects like 'Brains and Bodies in Social Interaction' (2024–2027) and 'Sustainable Careers in Elite Sports' (2024–2027). Team member in Profi3 (2017–2021) and Profi4 (2018–2022) initiatives, including 'Brain Development Across the Life Span' and 'Active Ageing and Care'. **Research Interests**: Neuroimaging markers of plasticity, body-brain interactions, and developmental neuroscience. **Key Contributions**: Over 50 peer-reviewed articles since 2019, emphasizing MEG/EEG studies on working memory, interoception, and the impact of physical activity on brain function. **Labs/Teams**: Leads CIBR, collaborating on interdisciplinary projects linking neuroscience to education, health, and aging. **Grants/Projects**: €4.6M Profi3 funding (2017–2021), €5.68M Profi6 (2021–2026), and multiple grants from Finnish and EU agencies. **Awards**: Not explicitly listed, but her sustained leadership in profiling initiatives reflects recognition. **Students/Advising**: None listed here; focus on collaborative projects and team supervision.

• Computer Science
• Neuroscience
• Medical Imaging
• +۳ مورد دیگر

Fengyu Cong is a Visiting Professor at the Faculty of Information Technology of the University of Jyväskylä (Finland). His research focuses on interdisciplinary computational neuroscience, biomedical signal processing, and machine learning applications in healthcare. Key contributions include EEG/fMRI analysis for mental health disorders such as depression and autism spectrum disorder, as well as federated learning methods for privacy-sensitive medical data. He has presented at major conferences including the 6th Conference on Mismatch Negativity (2012) and ESCAN 2014 , showcasing work on preattentive facial expression processing in neurological populations. His affiliations include the Engineering and Secure Communications Engineering and Signal Processing groups within his faculty. Research interests span neural signal analysis, multimodal imaging techniques, and AI-driven diagnostics. Notable methodologies include tensor decomposition for fMRI preprocessing, HMM-based sleep stage classification, and federated learning frameworks for distributed healthcare applications. His work bridges computer science and clinical neurology, with publications in top-tier journals addressing topics like vascular cognitive impairment, neural oscillations in autism, and artifact removal in biomedical signals.

• Neural Oscillation
• Magnetoencephalography
• Evoked Potential
• +۵ مورد دیگر

Liisa Helle is a doctoral researcher at the School of Science within the Department of Neuroscience and Biomedical Engineering , focusing on advanced neuroimaging methodologies and their clinical applications. With expertise in Magnetoencephalography (MEG) and Electroencephalography (EEG) , her work spans comparative neurocognitive studies, brain injury analysis, and neural signal enhancement techniques. Her research interests include: Neural Oscillation dynamics in clinical and animal models Development of Signal-Space Separation algorithms for MEG interference suppression Neurophysiological basis of Facial Recognition in canines Cognitive impacts of Mild Traumatic Brain Injury Neural modulation through Deep Brain Stimulation Publications highlight: Advancements in MEG Source Montage sensitivity (2022) Time-resolved Canine Visual Cortex analysis (2020) Clinical implications of Neurotrauma (2019) Parkinson's disease Sensorimotor Activity suppression (2018)

• Machine Learning
• Signal Processing
• Neuroscience
• +۳ مورد دیگر

Matilda Makkonen is a Doctoral Researcher at Aalto University's Department of Neuroscience and Biomedical Engineering, specializing in transcranial magnetic stimulation (TMS) and electroencephalography (EEG) integration with machine learning techniques. She holds a Master's degree in Engineering and Technology from Aalto University (2023) and a Bachelor's degree in the same field (2021). Key Research Areas: Machine learning for real-time signal processing, closed-loop EEG-TMS systems, and artifact rejection techniques. Research Trends: Focuses on improving brain stimulation methods through advanced signal decoding and noise reduction algorithms. Makkonen has been actively involved in organizing international workshops like the TMS–EEG Summer School and the Brain Stimulation and Imaging Meeting (2022-2024).

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation (TMS)
• +۳ مورد دیگر

Maria Koponen is a doctoral researcher at the Department of Neuroscience and Biomedical Engineering , School of Science , with a focus on advanced brain stimulation and imaging technologies. She actively contributes to methodological innovations in preclinical research environments. Active research in 2023-2025: Ultra-high-field MRI integration with multi-coil TMS systems Key methodologies: Electromagnetic field modeling, neuromodulation hardware design, stress analysis in medical devices Research Interests: Maria Koponen specializes in Electrical Brain Stimulation , Transcranial Magnetic Stimulation (TMS) , and Magnetic Resonance Imaging (MRI) technologies. Her work addresses challenges in Neuromodulation , Neural Interfaces , and MRI-TMS Integration for preclinical applications. Publication Trends: Recent publications demonstrate expertise in Multichannel TMS Systems , Magnetic Field Engineering , and Biomechanical Modeling for high-field MRI compatibility. Key themes include Neural Stimulation Optimization , Stress Analysis in Medical Devices , and Imaging Neuroscience advancements. Collaborative Activities: Organized two major international events in 2024: Science Factory: TMS–EEG Summer School and Workshop and the International Conference on Bioelectromagnetism . Collaborates with institutions in fields such as MRI Safety , Neural Circuit Mapping , and Biomedical Device Development .

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation
• +۵ مورد دیگر

Heikki Sinisalo is a Visiting Professor at the Department of Neuroscience and Biomedical Engineering at Aalto University. His research focuses on advanced brain-stimulation technologies, particularly transcranial magnetic stimulation (TMS) integrated with magnetic resonance imaging (MRI) and digital signal processing . Education: Doctor of Technology (Teknillinen fysiikka) – Aalto University, 30 Jun 2025 Diploma Engineer (Tietotekniikka) – Aalto University, 16 Nov 2018 Bachelor of Technology (Sähkötekniikka) – Aalto University, 20 Jun 2016 Sinisalo has pioneered multi-locus TMS systems for clinical and preclinical applications, emphasizing high-precision timing , ultra-high-field MRI compatibility , and pulse-width modulation to enhance stimulation accuracy. His work bridges engineering with neuroscience, targeting cortical and brain-stimulation advancements. In recent years, Sinisalo’s publications highlight innovations in closed-loop TMS , multi-coil configurations , and rapid stimulation protocols . Key technologies include field-programmable gate arrays , capacitor voltage optimization , and digital interfaces for real-time neuromodulation. He actively contributes to research infrastructure, having organized the TMS–EEG Summer School and Workshop (2022) , fostering collaboration between engineers and neuroscientists. His work also includes open-access datasets, such as the High-Precision Timing Method for Closed-Loop TMS (Zenodo, 2024).

Selja Vaaltoمشاهده پروفایل

استاد مهمان

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation (TMS)
• +۲ مورد دیگر

Selja Vaalto is a Visiting Professor at Aalto University's Department of Neuroscience and Biomedical Engineering. She holds a Doctoral degree in Medical and Health Sciences from the University of Eastern Finland, indicating specialization in clinical neuroscience applications. Key affiliations: Aalto University, University of Helsinki Hospital Primary research areas: Neuroscience, Biomedical Engineering Her work focuses on Transcranial Magnetic Stimulation (TMS) technologies, including: Language-critical brain area mapping using combined MEG-informed TMS and fMRI Network engagement analysis for optimized brain stimulation protocols Individualized motor stroke treatment approaches with closed-loop TMS systems Speech cortex mapping for surgical planning Neuropathic pain management using repetitive TMS Recent publications demonstrate strong collaboration with researchers like Petteri Lioumis and Risto Ilmoniemi, particularly in developing navigated TMS applications and adaptive stimulation techniques . While no specific awards are documented, her involvement in multiple peer-reviewed publications and funded research activities indicates significant contributions to brain stimulation research.

Jaakko Nieminenمشاهده پروفایل

استاد مهمان

• Transcranial Magnetic Stimulation
• Neuroscience
• Biomedical Engineering
• +۷ مورد دیگر

Jaakko Nieminen is a Visiting Faculty member in the Department of Neuroscience and Biomedical Engineering at Aalto University's School of Science. He holds a Doctoral degree in Engineering and Technology from Aalto University (2012) and a Master's degree from Helsinki University of Technology (2008). Doctoral degree, Engineering and Technology, Aalto University (2012) Master's degree, Engineering and Technology, Helsinki University of Technology (2008) His research focuses on transcranial magnetic stimulation (TMS), particularly the development and optimization of multi-locus and multi-coil TMS systems for precise brain stimulation. His work integrates neuroscience, biomedical engineering, and computational modeling to advance neuromodulation techniques. Key interests include electric field orientation, motor evoked potentials, primary motor cortex circuitry, and closed-loop TMS with EEG feedback. Recent publications highlight advancements in multi-locus TMS systems, deep learning for motor evoked potential analysis (DELMEP), and spatiotemporal modulation of brain networks. His research trend emphasizes precision, automation, and integration of neuroimaging and electrophysiological feedback in brain stimulation technologies. Scientific Awards: Innovation of the Year Award (2017) McKinsey-palkinto, McKinsey & Company, USA (2009) McKinsey-palkinto, McKinsey, USA (2008) The Best Graduate Thesis Award (2009) The Best PhD Poster Award (2012) Nieminen has served as Principal Investigator on multiple Academy of Finland-funded projects focused on multi-locus TMS, demonstrating leadership in securing research grants. He has supervised theses and reviewed PhD dissertations, contributing to academic training. His collaborative network spans neuroscience, engineering, and clinical neurophysiology, with extensive publication output and media coverage of his work on making brain stimulation more reliable through algorithmic advancements. He is actively involved in research teams developing next-generation TMS technologies, including software tools like DELMEP and hardware systems for clinical and preclinical applications. His work continues to push the boundaries of non-invasive brain stimulation through engineering innovation and rigorous scientific investigation.

• Neuroscience
• Biomedical Engineering
• Signal Processing
• +۴ مورد دیگر

Giuseppe Varone is a Visiting Faculty member at the Department of Neuroscience and Biomedical Engineering. His research focuses on advancing neuroimaging techniques to address challenges in cortical activation and artifact mitigation. Key Research Areas: Transcranial Magnetic Stimulation (TMS), Electroencephalography (EEG), Brain-Computer Interfaces Methodologies: Signal processing, computational modeling, real-time visualization Applications: Neurological disorders, cortical excitability studies Recent Publications: 2022 contributions to Journal of Neuroscience Methods highlight innovations in TMS-EEG artifact rejection and real-time potential visualization.

• Computer Science
• Psychology
• Neuroscience
• +۱ مورد دیگر

Michiel Spape is a visiting researcher at Medicum , University of Helsinki, and a supervisor in the Doctoral Programme in Population Health. His research spans Computer Science , Psychology , and Neuroscience , with a focus on human-computer interaction and temporal perception. University: University of Helsinki School: Medicum Role: Visiting Researcher & Supervisor Spape's work investigates how cognitive processes like intention, emotion, and sensory feedback influence time perception and brain-computer interfaces . His recent studies combine EEG , virtual reality , and haptics to decode implicit user responses. Email: michiel.spape@helsinki.fi

Niklas Ravajaمشاهده پروفایل

استاد

• Psychology
• Social Psychology
• Neuroscience
• +۶ مورد دیگر

Niklas Ravaja is a Professor in the Department of Psychology at the University of Helsinki, where he serves as a Supervisor in multiple doctoral programs including Human Behavior, Cognition, Learning, Teaching and Communication, Social Sciences, and Population Health. He is also affiliated with the Helsinki Information Technology Research Institute. His research spans interdisciplinary domains connecting psychology with technology and neuroscience. Professor Ravaja's research focuses on the intersection of psychological processes, physiological responses, and technological interfaces. His work examines how social interactions manifest in physiological arousal, particularly in face-to-face versus mediated communication contexts. He investigates time perception alterations under different emotional and intentional states, exploring how cognitive processes influence temporal experience. His research on virtual reality environments examines emotional responses during intergroup encounters and the impact of haptic feedback on social interaction. Ravaja's work consistently integrates neuroscience methodologies with social psychology questions, creating innovative approaches to understanding human behavior in technologically mediated environments. Analysis of his recent publications reveals a strong trend toward neuroadaptive interfaces and physiological measurement in social contexts. His work increasingly focuses on comparing in-person versus mediated interactions, particularly examining how video communication alters physiological responses during self-disclosure. There's a clear progression from basic research on emotional responses to applied work on health behavior change through biofeedback applications. The integration of virtual reality with physiological measurement represents a significant methodological innovation across his recent work. Professor Ravaja has secured substantial research funding from the Academy of Finland, currently leading three active projects: Meta (focusing on programmable metasurface networks), EngIne (examining engagement in remote social interactions), and PREventive Care Infrastructure. His previous projects have included investigations of mediated haptic communication during social decision making. These projects demonstrate his ability to secure competitive funding for interdisciplinary research bridging psychology, neuroscience, and technology. His academic activities include extensive peer review work (17 instances documented), conference participation and organization (4 instances), editorial work, and academic visits to institutions including University Rennes 1 Graduate School of Management. He has also contributed to media discussions through interviews with Tietoviikko and Hämeen Sanomat, demonstrating his engagement with public discourse around psychological research.