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Sascha FrühholzView profile

Professor

• Cognitive psychology
• Neuroscience
• Neuropsychology
• +9 more

Sascha Frühholz is a Full Professor at the Department of Psychology, University of Oslo, Norway. He previously held roles including SNSF Professor at the University of Zürich (2015–2020) and Associate Professor at the University of Oslo (2020). His research focuses on cognitive psychology, neuroscience, and neuropsychology, with specialties in digital communication, auditory emotion recognition, and forensic analysis of digital fraud. He leads projects on deepfake detection, neurocognitive mechanisms of auditory perception, and the evolutionary basis of affective signaling. Education background includes a PhD from the University of Bremen (2008–2010) and postdoctoral research at institutions like the Swiss Center for Affective Sciences (2013–2015). Notable awards include the SNSF Professorship (2015) and a teaching award nomination (2005). His research interests span digital voice technology risks, psychoacoustics, and ancient instrument acoustics. Recent articles highlight interdisciplinary work in neuroscience, AI ethics, and clinical applications like cochlear implant studies. Awards include the SNSF Professorship and recognition for teaching excellence. His lab, the Cognitive and Affective Neuroscience Lab (CANlab), explores auditory emotion processing and brain-computer interfaces.

Christin SchülkeView profile

Research Fellow

• Bioimpedance
• Stem cells
• Regenerative medicine
• +5 more

Christin Schülke is a PhD Research Fellow in Biomedical Engineering at the Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo (UiO) since April 2017. Her work is part of the EU-Project Training4CRM within the Horizon 2020 program and Marie Sklodowska-Curie Innovative Training Networks, focusing on bridging gaps in Cell-based Regenerative Medicine for neurodegenerative disorders including Parkinson's, Huntington's, and Epilepsy. Her academic background includes a Master of Science in Biochemistry from Leipzig University, Germany (2014-2016), with thesis work on neuronal differentiation potential of hiPS cells, and a Bachelor of Science in Biochemistry from the same institution (2011-2014). She also completed an Erasmus Exchange semester in Molecular Biology at Aarhus University, Denmark. Christin's research interests span Bioimpedance, Stem cells, Regenerative medicine, Neurobiology, Biosensors, Biochemistry, Biomedical instrumentation, and Biomedical physics. She specializes in developing electrode systems for non-invasive monitoring of vital cell parameters and neurotransmitter release, combining micro and nanoengineering with biotechnology. Her publication record shows a clear trajectory in bioimpedance applications, evolving from stem cell characterization to advanced brain implant technologies. The research demonstrates interdisciplinary integration of physics, engineering, and neuroscience to address challenges in regenerative medicine. She collaborates extensively with international partners including Oslo University Hospital, Center for Biotechnology and Biomedicine at Universität Leipzig, Technical University of Denmark, Universidad Autónoma de Madrid, Lund University, Verigraft AB, and Sciospec Scientific Instruments GmbH. Christin is an active member of the Oslo Bioimpedance group and the Martinsen Research Group, contributing to cutting-edge developments in biomedical instrumentation and neurotechnology through both theoretical and applied research approaches.

Giosuè BaggioView profile

Professor

• Cognitive Science
• Neurolinguistics
• Psycholinguistics
• +5 more

Giosuè Baggio is a Professor of Psycholinguistics at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Language and Literature within the Faculty of Humanities. His research integrates cognitive science, neurolinguistics, and philosophy to explore language, logic, and music as models of human cognitive complexity. He co-directs the Language Acquisition and Language Processing Lab and coordinates English linguistics teaching. Education: Philosophy (University of Pavia/Strasbourg), MSc in Logic, Language & Computation (University of Amsterdam), PhD in Cognitive Neuroscience (Donders Institute, Nijmegen). Prior to NTNU, he worked at the Max Planck Institute for Psycholinguistics and SISSA (Trieste). Research focuses on semantic composition, neural correlates of language processing, and interdisciplinary theories linking linguistics to neuroscience. Key books include *Meaning in the Brain* (2018) and *Neurolinguistics* (2022, translated into Arabic/Spanish). Recent work explores ERP studies of morphological agreement, computational complexity in quantifier verification, and neural markers of musical perception. Awards: None explicitly listed. However, his impactful publications and book translations indicate scholarly recognition. Supervision spans linguistics and cognitive science topics at all levels. Active in outreach, advocating for evidence-based academic practices and interdisciplinary collaboration. Labs/Teams: Co-director of the Language Acquisition and Language Processing Lab. Teaching includes courses on semantics, pragmatics, and cognitive neuroscience of language.

Jakub KopalView profile

Research Fellow

• Neuroscience
• Genetics
• Psychiatry
• +3 more

Jakub Kopal is a Postdoctoral Fellow at the Centre for Precision Psychiatry, Oslo University Hospital, University of Oslo, holding an MSCA fellowship focused on genetic-brain-behavior relationships. He earned his Ph.D. in neuroscience (2021) through a joint program at the University of Chemistry and Technology, Prague, and Université Toulouse III – Paul Sabatier. His research integrates neuroscience , genetics , and computational psychiatry to investigate how genetic variations—particularly rare mutations—influence brain structure and behavioral outcomes. He emphasizes population diversity to enhance reproducibility in neuroimaging and psychiatric research, with expertise in data visualization and large-scale analytics. Recent publications in Nature Communications , Nature Human Behaviour , and Nature Methods demonstrate his work leveraging multi-omics data to unravel psychiatric disorder mechanisms while advocating for inclusive methodological frameworks in computational neuroscience. Dr. Kopal collaborates within Oslo University Hospital's Precision Psychiatry group, building on prior work with Danilo Bzdok (McGill University) and Sébastien Jacquemont (CHU Saint-Justine) at the neuroscience-genetics interface.

Siri Håvås HauglandView profile

Professor

• Psychosocial Health
• Public Health
• Substance Use
• +11 more

Siri Håvås Haugland is a Professor and Head of the Department of Psychosocial Health at the University of Agder, Norway. She holds a PhD in public health and general practice from the Norwegian University of Science and Technology (NTNU) and a master's degree in social work. Her academic and professional work is centered on psychosocial health, with a focus on the intergenerational effects of parental alcohol use, adverse childhood experiences, and social inequalities. University: University of Agder School: Institute of Psychosocial Health Department: Department of Psychosocial Health Role: Professor and Head of Department Her research interests span psychosocial health, public health, epidemiology, substance use, parental alcohol misuse, mental health in adolescents, NEET youth, and social determinants of health . She utilizes population-based data, particularly from the HUNT Study, to explore long-term health outcomes. She is actively involved in the research groups HAMS: Health, Behavior, Diversity, and Social Inclusion and RUFA – Substance Use, Family and Close Others , where she serves as assistant research group leader. Her recent publications reveal a strong focus on the intersection of family dynamics, childhood adversity, and adult health outcomes. Themes include parental alcohol problems and social exclusion, discrimination and health, quality of life measurement, and risk behaviors among NEET youth . Her work employs cross-sectional, prospective, and qualitative methods, often analyzing large datasets to uncover patterns in mental health, substance use, and social well-being. Scientific Awards: No awards listed in the provided text. Siri Håvås Haugland has extensive experience in public engagement, frequently contributing to media outlets such as NRK, VG, and Aftenposten. She has also presented at conferences and delivered public lectures on topics like parental alcohol use and children’s psychosocial health. She collaborates widely with researchers across institutions and has co-authored numerous high-impact publications. She has also co-edited a book titled Perspektiver på psykososial helse (2025). Her work emphasizes policy relevance and the translation of research into practice for improved public health outcomes.

• Robotics
• IoT Security
• Brain-Computer Interfaces
• +3 more

Dr. Usman Ghafoor is a researcher specializing in robotics, IoT security, and neuroengineering. His work bridges machine learning with biomedical systems, focusing on brain-computer interfaces (BCIs), neuromodulation, and robotic control mechanisms. Key Research Areas: Robotics, IoT Malware Detection, Hybrid EEG-fNIRS Systems, Deep Learning Applications His recent publications highlight interdisciplinary approaches to multibody robot control, neurorehabilitation, and real-time BCI optimization. Collaborative work with experts like Keum-Shik Hong demonstrates his integration into cutting-edge neuroscience and robotics projects. While specific institutional affiliations are not detailed in the provided text, his contributions to journals such as Robotics , Scientific Reports , and Frontiers in Neurorobotics indicate significant academic engagement.

Silvia Francesca StortiView profile

Professor

• Artificial Intelligence
• Machine Learning
• Brain-Computer Interface
• +2 more

Prof. Silvia Francesca Storti is a faculty member at the Department of Computer Science , University of Verona , Italy. Her research spans interdisciplinary domains at the intersection of Computer Science and Neuroscience , with a focus on Brain-Computer Interfaces , Machine Learning , and Multimodal Functional Imaging . Recent publications highlight her work in: Predictive modeling of human vigilance in Industry 5.0 environments (2025) Functional connectivity analysis in Alzheimer's disease (2024) Safety-critical systems in Industry 4.0 (2024) Neurophysiological risks in professional divers (2024) Hemispheric differences in visual cortex stimulation (2023) Her research explores both theoretical and applied aspects of neural network dynamics, cortical connectivity inference, and safety-optimized human-machine interaction.

• Computational Biology
• Mathematical Modeling
• Neuroscience
• +4 more

Marius Causemann is a Postdoctoral Researcher in the Numerical Analysis and Scientific Computing department at Simula Research Laboratory , focusing on computational modeling of brain mechanics and fluid dynamics. His work bridges mathematics, neuroscience, and biomedical simulation through high-fidelity numerical methods. Research Interests include: Computational Neuroscience Biomechanics of Gliovascular Systems Poroelastic and Fluid-Structure Interaction Models Numerical Methods for Multi-Physics Problems Mathematical Physiology His recent publications emphasize in-silico modeling of molecular clearance in intracranial spaces, dual-poroelasticity solvers, and high-resolution meshing of brain tissues. These works contribute to understanding glymphatic pathways, neurovascular coupling, and cerebrospinal fluid dynamics.

Kent-Andre MardalView profile

Professor

• Computational Mechanics
• Biomechanical Applications in Medicine
• Brain Clearance During Sleep
• +5 more

Kent-Andre Mardal is a Professor at the Department of Mathematics , University of Oslo . He specializes in computational mechanics with a strong focus on biomechanical applications in medicine , particularly in modeling brain clearance mechanisms during sleep. His work integrates multi-physics modeling , fluid-structure interaction , and poroelastic couplings to advance understanding of the glymphatic system and cerebrospinal fluid dynamics. Education: PhD (2002) – Simula Research Laboratory Research Interests: Mardal's research spans a wide range of disciplines including: Computational Mechanics – developing robust numerical algorithms for complex physical systems Biomechanical Applications – particularly in neuroscience and medical imaging Brain Clearance During Sleep – modeling the glymphatic system and CSF flow dynamics Multi-Physics Modeling – integrating fluid dynamics, elasticity, and neural networks Finite Element Methods – for accurate and efficient simulations Neural Networks in Scientific Computing – exploring physics-informed neural networks Research Trends from Publications: Mardal's recent publications (2022–2025) demonstrate a clear focus on brain fluid dynamics , particularly the glymphatic system , CSF circulation , and neurodegenerative disease modeling . He employs advanced numerical techniques such as isogeometric analysis , physics-informed neural networks , and parameter-robust preconditioning to solve complex multi-physics problems. His work bridges medical imaging (MRI) with computational modeling to provide insights into brain clearance mechanisms and their impairment in diseases like Alzheimer's. Scientific Awards: No specific awards are mentioned in the provided text. Grants and Projects: Currently, Mardal is the Principal Investigator (PI) of three active research projects: Alzheimer's Physics – exploring the role of fluid dynamics in neurodegeneration Scientific Machine Learning – advancing numerical methods with AI Computational Hydrology – modeling subsurface fluid flow Affiliations and Teams: Mardal was previously a group leader at the Centre of Excellence “Biomedical Computing” at the Simula Research Laboratory. He has authored over 100 papers and several books, and his research homepage is available at https://kent-and.github.io/ .