Carlos Alberto Dorao is a Professor at the Department of Energy and Process Technology, Norwegian University of Science and Technology (NTNU). His research focuses on fluid dynamics, heat transfer, multiphase flow, and microfluidic systems. He leads the Fluid Mechanics Laboratories at NTNU, exploring advanced topics like acoustic-based cell lysis, droplet evaporation, and superhydrophobic surfaces. His work integrates computational modeling (e.g., phase-field methods) with experimental validation, addressing challenges in biomedical engineering, materials science, and energy systems. Recent publications highlight innovations in microfluidic actuators, acoustic wave applications, and thermal management. Key contributions include studies on droplet dynamics, surface wettability, and flow instabilities in boiling systems. Collaborations involve international researchers, reflecting his interdisciplinary approach.
Yong Ma is a Postdoctoral Researcher affiliated with the Clinical Department 1 at the University of Bergen. His research focuses on Human-Computer Interaction (HCI), with a particular emphasis on healthcare technology and dementia care. He explores adaptive voice assistants, emotion-aware systems, and AI-driven solutions to enhance communication and care for individuals with dementia. His work integrates speech analysis, user experience design, and interdisciplinary collaboration with institutions like Helse Fonna HF and the Royal Institute of Technology. Key research areas include: Development of Human-AI Interaction frameworks (e.g., the HAID project) Design of voice assistants tailored to dementia patients EEG-based brain-robot interaction systems Cross-cultural user attitudes toward emotion-aware technologies Publications span academic conferences like ACM SIGCHI and NordiCHI, addressing topics such as adaptive voice assistants, dementia care technology reviews, and emotion-aware systems. He actively contributes to workshops like InterAI, promoting human-centered robotics and interactive AI.
Katrine Linnea Nergård is a Research Fellow at the University of Oslo , affiliated with the Faculty of Mathematics and Natural Sciences . She is associated with the Robotics and Intelligent Systems research group, focusing on computational neuroscience and robotics. Her research explores the intersection of machine learning , motor imagery decoding , and sensorimotor integration , particularly in the context of grasping tasks and hand dominance effects. Her work contributes to advancements in brain-computer interfaces and neural signal processing. Katrine has published in computational neuroscience conferences, including a 2022 paper on motor imagery decoding. She is actively involved in academic research and maintains affiliations with interdisciplinary teams. Her current email contact is katrner@student.matnat.uio.no .
Pavlo Mikheenko is a Professor in the Department of Physics at the University of Oslo, specializing in condensed matter physics with a focus on superconductivity and nanomaterials. His research spans biological superconductivity, energy applications of superconductors, and magnetic nanoparticle synthesis. He holds a PhD from Donetsk Institute of Physics and Technology and has held academic roles globally, including at the University of Cambridge and University of Birmingham. Roles: Professor (2019–present), Associate Professor (2013–2019) Affiliations: Condensed Matter Physics group, University of Oslo; EU-funded projects (MagNEO, MAGNIFICENT) Education: PhD (1984, Donetsk Institute of Physics and Technology), MSc (1977, Donetsk National University) Research Interests : Superconductivity in biological systems (e.g., microtubules) Advanced superconductor fabrication techniques (e.g., pulsed laser deposition) Energy applications of superconductors for hydrogen economy Magnetic nanoparticle synthesis using biological systems (e.g., bacteria) Publications focus on superconductivity in biological contexts, nanomaterials, and thin-film growth, with recent work exploring quantum phenomena in brain structures and magnetic field screening in microtubules. Awards include Chartered Physicist status (UK Institute of Physics) and membership in the International Association of Advance Materials. Grants & Labs : Leads EU projects on superconductivity and nanomaterials. Active in lab development for advanced materials characterization and biological nanoparticle studies.
Miriam Kyselo is a Professor of Philosophy at the Institute of Philosophy and Religious Studies , Norwegian University of Science and Technology (NTNU) , and leads the interdisciplinary Agency, Action and Embodiment research group. She is also a Co-Principal Investigator in the Science of Intelligence Excellence Cluster at TU Berlin and co-leads the Physical Activity team within NTNU's strategic Health and Life Science research area. PhD , Cognitive Science, University of Osnabrüeck (2013) M.A. , Philosophy of Cognitive Science, University of Sussex (2007) Graduate/post-graduate studies at Universities of Berlin and Potsdam Kyselo specializes in 4E cognition (enactive, embodied, extended, embedded mind theories) and develops a relational model of the self integrating embodiment, technology, and sociality. Her work bridges philosophy with neuroscience, robotics/AI , and psychology , focusing on topics like mental health , inter-agent affordances , and applied ethics . She actively promotes interdisciplinary dialogue through initiatives like the AAE research network at NTNU and the Interself Lab at TU Berlin. Her peer-reviewed publications and edited book chapters, spanning 2009–2024, reveal consistent engagement with enactive selfhood , dual systems in cognition , social interaction dynamics , and neurotechnology ethics , often intersecting with clinical applications in psychiatry and psychotherapy. Key trends include the role of interpersonal synchrony , dialogue , and embodied agency in mental health research. Scientific awards and fellowships include: Marie Curie Post-Doctoral Fellow (2011–2014) Marie Curie Experienced Researcher (IPODI) (2015–2017) DFG conference grant for The Open Self – Investigating the Boundaries of the Self (2018) PhD Fellowship at the Graduate School Adaptivity in Hybrid Systems (2008–2011) Kyselo has coordinated NTNU's interdisciplinary research network on embodiment and cognition and previously founded the Interself Lab at TU Berlin. She actively seeks collaborations in embodied cognition , artificial intelligence , and mental health research.
Audrey van der Meer is a Professor of Neuropsychology at NTNU’s Department of Psychology within the Faculty of Social and Educational Sciences. She holds an MSc in Human Movement Sciences (Psychology and Philosophy) from Vrije Universiteit Amsterdam (1988) and a PhD in Experimental Psychology from the University of Edinburgh (1992). Her research focuses on developmental neuroscience, infant perception, and brain plasticity, with a particular emphasis on visual motion perception and prospective control in infants and children. She co-directs the Developmental Neuroscience Laboratory at NTNU, investigating neurodevelopmental principles in early childhood to improve learning outcomes and prevent developmental issues in infants aged 0-3 years. Her work combines EEG studies with behavioral analyses to explore topics like handwriting’s cognitive benefits, neural responses to looming stimuli, and motor stimulation effects on preterm infants. Key areas include the role of optic flow perception in spatial navigation, handwriting’s impact on brain connectivity, and early detection of developmental disorders through EEG biomarkers. Collaborations with husband Ruud van der Weel and teams like Seth Agyei and Stefania Rasulo have produced influential studies on infant cognition and motor control. Her research bridges ecological psychology and neuroscience, emphasizing real-world applications in education and clinical practice. Education MSc in Human Movement Sciences (Psychology & Philosophy), Vrije Universiteit Amsterdam (1988) PhD in Experimental Psychology, University of Edinburgh (1992) Research Themes Infant visual perception and neural development EEG biomarkers for neurodevelopmental disorders Prospective motor control in early childhood Handwriting vs. typing effects on learning Optic flow perception in infants Lab Affiliation Director, Developmental Neuroscience Laboratory (NTNU)
Håvard Kallestad is a Researcher and senior consultant psychologist at the Norwegian University of Science and Technology (NTNU), Department of Mental Health within the Faculty of Medicine and Health Sciences. He serves as Director of the Sleep and Chronobiology Research group at NTNU Department of Mental Health / St. Olavs University Hospital Division of Mental Health Care. His work bridges clinical practice with academic research in the specialized intersection of sleep medicine and psychiatric care. Kallestad's primary research focus centers on interventions that act on the circadian system in mental disorders, clinical sleep medicine, and assessment methods in sleep and psychiatry. His work demonstrates a strong emphasis on translating sleep research into clinical applications, particularly examining how circadian rhythm interventions can improve mental health outcomes. His research spans digital cognitive behavioral therapy for insomnia (dCBT-I), light environment modifications in psychiatric settings, chronotherapeutic approaches for depression, and the relationship between sleep disturbances and various mental health conditions including OCD, bipolar disorder, and alcohol use disorder. Analysis of Kallestad's publication record reveals a clear trajectory of increasing clinical impact in sleep medicine. His recent work shows growing emphasis on pragmatic, real-world applications of sleep interventions in primary care settings, with multiple randomized controlled trials examining group-delivered CBT-I and digital interventions. A distinctive feature of his research program is the integration of circadian science with practical psychiatric care, particularly through environmental modifications like blue-depleted lighting in hospital settings. His work consistently addresses how sleep interventions can be scaled and implemented in routine clinical practice rather than just specialized research settings. Kallestad leads the Trondheim Sleep Group, which focuses on advancing research in sleep medicine with particular attention to the interface between sleep disorders and mental health conditions. His research program demonstrates strong interdisciplinary collaboration across psychiatry, neuroscience, and engineering fields, particularly evident in studies involving novel sleep monitoring technologies and computational analysis of sleep data.
Ilangko Sellappah Balasingham is a Professor of Medical Signal Processing and Communications at NTNU’s Department of Electronic Systems. He leads the Signal Processing Group and holds dual appointments at the Intervention Center, Oslo University Hospital. His research focuses on super-robust short-range communications for biomedical applications, body area sensor networks, and molecular communication networks. Balasingham earned both his MSc and PhD in signal processing from NTNU. His work spans over 20 years of leadership in projects such as the EU-funded B-CRATOS (brain-computer interfaces) and CLIPEUS (nanonetworks for infectious disease prediction), alongside Norwegian initiatives like 5G-HEART and WINNOW. Key areas include nanoscale communication systems, wireless in-body sensors, and cybersecurity in healthcare. Balasingham has coordinated over NOK 100 million in grants, with recent projects addressing personalized cancer treatment models and RF sensor development for cardiac health monitoring. Publications emphasize molecular communication channels, extracellular vesicle-based drug delivery, and biomedical implant systems. His research bridges signal processing, nanotechnology, and clinical applications, with a focus on translating theoretical models into practical healthcare solutions.
Mazaher Kianpour is a Postdoctoral Fellow at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. Their research focuses on cybersecurity economics, regulations, risk management, and human/organizational aspects of information security. Research : Cybersecurity Economics, Public Good Theory, Regulations, Gamification, and Socio-Technical Systems Teaching : Courses in Programming, Security, and Digital Economics (INGT1002, TTM4165) Key publications include analyses of cybersecurity as a public good, AI applications in security economics, and regulatory impacts. They contribute to the eHealth and System Security Group (HS2G) and collaborate on gamification for security training. Current work explores EU’s NIS2 directive and institutional design for cyber incident management.
Audrey van der Meer is a Professor of Neuropsychology at NTNU's Department of Psychology within the Faculty of Social and Educational Sciences. She holds a Ph.D. in Experimental Psychology from the University of Edinburgh (1992) and leads the Neuroscience Development Laboratory (Nu-Lab) at Dragvoll alongside her husband, Prof. Ruud van der Weel. Her research focuses on early childhood development (0-3 years), particularly brain plasticity and perceptual-motor integration using EEG. Key areas include infant visual motion perception, prospective control mechanisms, and the impact of motor stimulation (e.g., baby swimming) on cortical activity. She collaborates extensively with colleagues like Seth Bonsu Agyei and Stefania Rasulo on studies involving preterm infants and EEG analysis. Recent work emphasizes handwriting's cognitive benefits over typewriting, with implications for classroom learning strategies. Publications (2021-2025) highlight longitudinal studies on optic flow perception, neural connectivity during occlusion events, and EEG-based BCI applications for infant monitoring. She actively supervises graduate students in quantitative brain research from ecological neuroscience perspectives.
Samaneh Abolpour Mofrad is a Postdoctoral Fellow at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Bergen (UiB). She is also affiliated with the Department of Computer Technology, Electrical Technology and Science at the University of Western Norway and the Radiology Department at Haukeland University Hospital. Her research bridges computer science, neuroscience, and clinical medicine, focusing on early detection of neurodegenerative diseases. Her primary research interests lie in machine learning for dementia prediction , neuroimaging analysis , and cognitive modeling . She develops computational frameworks using longitudinal cognitive and MRI data to predict Alzheimer’s disease progression. Her work also explores neural associative memory and stimulus equivalence modeling , contributing to both artificial intelligence and cognitive science. The recent articles highlight a strong trend in predictive modeling of neurological disorders , particularly Alzheimer’s disease, using ensemble machine learning and brain volume trajectories . Her publications also delve into theoretical AI models such as tournament-based neural networks and projective simulation, indicating a dual focus on applied clinical research and foundational AI. She has been funded by the Bergen Research Foundation (Project: BFS2018TMT07) for her work on dementia prediction. Her collaborations span multiple institutions, including OsloMet and the University of Bergen, and she frequently works with experts in radiology and biomedicine. Samaneh is actively involved in interdisciplinary research teams integrating AI, neuroimaging, and clinical diagnostics . Her work is conducted within research environments that combine academic departments and hospital-based research units, particularly at Haukeland University Hospital.
Axel Sandvig is a Professor at the Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU). He leads the Integrative Neuroscience Group and is actively involved in clinical-academic research through the Translational Neuroscience Clinical-Academic Research Group (CARG) and the Translational Neuroscience Clinical-Academic Group (CAG) for Alzheimer's Disease. His research focuses on neuroplasticity mechanisms in central nervous system (CNS) damage and repair, investigating structure-function relationships in neuronal assemblies under healthy and pathological conditions. Key themes include adaptive/maladaptive plasticity in CNS injuries, neurodegenerative diseases, and engineered neural networks using 3D interfaces. Recent publications highlight his work on: ALS patient-derived motor neuron networks and synaptic transcript dysregulation Microfluidic systems for neuromodulation studies Criticality in neural networks 3D neural interface engineering Neuroplasticity in Alzheimer's and tauopathy models Microglial interactions in stroke recovery
Myrthe Erica Jeanne Tilleman is a Doctoral Research Fellow at the Department of Informatics, University of Oslo, within the Faculty of Mathematics and Natural Sciences. She works in the Sustainable Immersive Networks Lab (SINLAB) under the supervision of Prof. Özgü Alay and Prof. Carsten Griwodz, focusing on the integration of brain-computer interfaces for latency hiding in immersive multimodal teleoperations. Degree: MSc in Human Neuroscience, University of Turku, Finland (2021–2023) Thesis: "Towards Bidirectional Lower Limb Prostheses: Restoring Proprioception Using EMG Based Vibrotactile Feedback" at Össur, Iceland Bachelor: BSc in Technology and Liberal Arts & Sciences, University College Twente, University of Twente, The Netherlands (2016–2019) Exchange: Waseda University, Japan Her research spans interdisciplinary domains including immersive multimedia, robotics, machine learning, neuroscience, motion capture, human-robot interaction, and brain-computer interfaces . Her work aims to enhance teleoperation systems by leveraging neural feedback to mitigate latency issues in real-time immersive environments. Although no publications are currently listed in Cristin, her ongoing doctoral research suggests a strong trajectory in human-centered networked systems and neuro-interactive technologies. She is actively contributing to advanced research in sustainable immersive networks, with potential applications in prosthetics, virtual reality, and remote robotics. Scientific Affiliations: Sustainable Immersive Networks Lab (SINLAB) Networks and Distributed Systems group, Department of Informatics Faculty of Mathematics and Natural Sciences, University of Oslo She has no listed scientific awards or advisees at this stage of her career. Her research is supported by academic supervision and institutional infrastructure at UiO.
Vinicius Rezende Carvalho is a Research Fellow at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion (University of Oslo). His work focuses on auditory predictive coding, cognitive maps, and seizure dynamics using intracranial EEG and computational models. Education : Bachelor's, MSc, and PhD in Electrical Engineering from Universidade Federal de Minas Gerais (UFMG), Brazil. Academic Interests : Predictive coding, brain rhythms, computational neuroscience, epilepsy, nonlinear dynamics, and speech decoding. His current research investigates the neurophysiological basis of auditory predictive coding through the AudioPred Project, analyzing single-unit recordings and local field potentials in response to auditory stimuli. Earlier work explored seizure prediction using stimulation probes and computational models. Publications highlight applications of delay differential analysis in speech decoding and seizure dynamics, alongside studies on neural entrainment and cognitive impairments in animal models. Scientific Award : 2020 Society for Neuroscience Latin American Training Program Fellow. Collaborations span institutions including the Salk Institute, University of California (Los Angeles), and Massachusetts General Hospital. He contributes to open-access datasets and participates in teaching programs like Neuromatch Academy.
Bruno Laeng is a Professor of Cognitive Neuropsychology at the Department of Psychology, University of Oslo , where he has worked since 2008. He is director of the Eye Tracking and Pupillometry Laboratory and a principal investigator at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion . His international academic background includes positions at Harvard University, Massachusetts General Hospital, and universities in Bergen, Tromsø, and Guelph. His research spans perceptual illusions mental imagery music-emotion interactions synesthesia cross-modal cognition pupillometry as a cognitive window with recent work examining how music affects mental effort, social absorption in string quartets, and robotic expressivity. His publications bridge psychology, neuroscience, and music science, often employing eye-tracking and physiological measures. Scientific achievements include 2018 election to the Norwegian Academy of Sciences and Letters 2003 University of Tromsø Teaching Award 2000 University of Tromsø Young Researcher Award Laurea Summa Cum Laude from Università di Roma His interdisciplinary approach combines cognitive theory with computational methods and physiological measures across diverse domains from art perception to human-robot interaction.
.jpg)
.jpg)