جستجوی استاد راهنمای دانشگاهی

Professor Mohan Lal Kolhe is a distinguished academic at the University of Agder , serving as a Full Professor in Smart Grid and Renewable Energy within the Faculty of Engineering and Science and the Department of Engineering Sciences . With over three decades of international academic experience, he has held positions at prestigious institutions including University College London, University of Dundee, and Hydrogen Research Institute in Canada. His career spans technical innovation, policy development (e.g., as a member of South Australia’s Renewable Energy Board), and extensive research leadership in sustainable energy systems. Research Leadership : Focus on Smart Grid integration, Electric Vehicles, Hydrogen Energy, Solar/Wind Systems, and Techno-Economic Energy Analysis. Global Recognition : Listed in the top 2% of scientists worldwide (2020-2023) by Stanford University, with 10 publications averaging 200+ citations. Recent publications emphasize advanced optimization techniques for renewable integration, EV charging infrastructure, hydrogen production, and power system stability. His work has secured competitive funding from entities like the Norwegian Research Council and EU programs. Awards and Expert Roles : Top 2% Global Scientist (Stanford, 2020-2023) Highly Cited Researcher (Top 10 publications, 200+ avg. citations) Expert evaluator for European Commission, Royal Society London, EPSRC, and Cyprus Research Foundation He actively contributes to international conferences as keynote speaker and editorial board member, with leadership roles in research groups like Autonomous and Cyber-Physical Systems and Energy Systems .

• Smart Grid
• Renewable Energy Systems
• Electric Vehicles
• +۵ مورد دیگر

Heidi Johansen-Berg is Pro-Vice Chancellor (Strategic Initiatives) at the University of Oxford and Associate Head (Research and Innovation) in the Medical Sciences Division. She holds a Professorship in Cognitive Neuroscience and a Wellcome Principal Research Fellowship at the Nuffield Department of Clinical Neurosciences, where she leads the Plasticity Group at the Oxford Centre for Functional MRI of the Brain (FMRIB). Her research centers on neuroplasticity mechanisms in the sensorimotor system, with emphasis on white matter plasticity, activity-dependent myelination, and implications for stroke rehabilitation and age-related brain decline. She integrates multimodal neuroimaging with behavioral studies to investigate how the brain adapts to learning, experience, and damage, translating findings into therapeutic interventions for neurological conditions. Recent publications reveal strong thematic trends in sleep-motor interactions post-stroke, exercise-induced neuroprotection in aging and adolescence, and experience-dependent white matter remodeling. Her work demonstrates how physical activity modulates brain structure-function relationships across the lifespan, with direct applications for neurorehabilitation protocols. Scientific recognition includes: Fellow of the Royal Society (FRS) Fellow of the Academy of Medical Sciences (FMedSci) Wellcome Principal Research Fellowship Professor Johansen-Berg directs the WIN Plasticity Group and co-leads the WIN Neuroplastics Network and Oxford University Centre for Integrative Neuroimaging (OxCIN). Her research program drives translational initiatives in stroke recovery and brain health maintenance, with ongoing projects examining digital sleep therapies, myelin dynamics, and exercise neuroscience through large-scale clinical trials and advanced imaging methodologies.

• Neuroscience
• Cognitive Neuroscience
• Neuroplasticity
• +۳ مورد دیگر

Sølve Selstø is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design, Oslo Metropolitan University. He specializes in theoretical physics and quantum mechanics, teaching mathematics and physics to engineering students. Research interests include quantum computing, photoionization dynamics, relativistic quantum physics, and non-Hermitian quantum systems. His work focuses on quantum particle behavior under light interaction and computational approaches to quantum education. Recent publications address relativistic effects in photoionization, computational quantum physics, and educational frameworks for quantum computing students. Research groups include ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) and Mathematical Modelling . Outreach involves public communication on quantum computing, quantum physics, and AI through media appearances and lectures.

• Quantum Mechanics
• Quantum Computing
• Atomic Physics
• +۱۱ مورد دیگر

Kerry Stephen Seiler is a Professor at the University of Agder in Norway, specifically within the Department of Sport Science and Physical Education under the Faculty of Health and Sport. He has been actively involved in research and consultation since the late 1990s, including roles as a research consultant for the Sorlandet Regional Hospital and the Norwegian Olympic Federation. Masters in Exercise Science (1987), University of Arkansas PhD in Kinesiology (Exercise Physiology and Biochemistry, 1995), University of Texas His research focuses on Exercise Physiology , particularly the interaction between brain and body during physical exertion and how cardiovascular systems adapt to training . He developed the SPADE research group (Sports Performance and Athlete Development Environments) and is a leading voice in 80/20 endurance training principles. Recent publications emphasize training intensity distribution , low-intensity endurance strategies , and polarized training models . His work often intersects with practical applications in professional cycling and endurance sports. Fellow, European College of Sport Science Fellow, American College of Sports Medicine He has contributed extensively to media platforms like Fast Talk Laboratories , The Roadman Cycling Podcast , and Podcast Feel Better Live More , discussing topics ranging from Zone 2 training to exercise as a longevity tool .

• Exercise Physiology
• Endurance Training
• Polarized Training Models
• +۳ مورد دیگر

Ørjan Grøttem Martinsen is a Professor of Electronics at the Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo. He also holds a temporary research position at the Medical Technology Business Area of Oslo University Hospital. With over three decades of experience, he has established himself as a leading expert in bioimpedance research and applications. Education: High-voltage engineer degree (1983) Cand. scient. in electronics/measurement technology (1990) Dr. scient. with thesis on skin's electrical properties (1995) Professor Martinsen's research centers on bioimpedance—the passive electrical properties of biological tissues that vary with anatomy and physiology. His work spans diverse applications including medical diagnostics (skin cancer detection), food quality assessment (fresh vs. thawed fish), skin condition monitoring (moisture levels), and stress level evaluation. His research bridges physics, engineering, and medical applications, creating practical diagnostic tools from fundamental electrical principles. He has pioneered methods to characterize tissue properties through impedance measurements, with particular focus on electrodermal activity and skin impedance. His recent publications (2022-2025) demonstrate a strong interdisciplinary approach combining bioimpedance with machine learning, robotics, and advanced signal processing. The work spans from fundamental biophysics (GABA detection, tissue characterization) to practical applications (dental anxiety assessment, ADHD treatment evaluation). Key trends include integration of AI with bioimpedance measurements, development of novel sensor systems, and expansion into new application areas like optogenetics and micro-robotics. Awards and Recognition: IEEE Senior Member (2006) CLABIO Award (2012) Fellow at Institute of Physics (FInstP) (2015) Dr. Honoris Causa, Tallinn University of Technology (2018) UiO Innovation Award (2019) Member of Norwegian Academy of Technical Sciences (2021) Professor Martinsen has served as Editor-in-Chief of the Journal of Electrical Bioimpedance since 2010 and was President of the International Society for Electrical Bioimpedance (2010-2016). His research has attracted significant funding, enabling collaborations across engineering, medical, and biological disciplines. He has supervised numerous students and researchers in the Bioimpedance Group at UiO, fostering a strong research environment that bridges theoretical and applied work. His work is conducted primarily through the Oslo Bioimpedance Group and Sensorama SmartSense research teams, which focus on developing innovative measurement techniques and applications of bioimpedance technology. These groups maintain strong collaborations with medical institutions and industry partners to translate research findings into practical healthcare solutions.

• Bioimpedance
• Biomedical Physics
• Electronics and Instrumentation
• +۳ مورد دیگر

Sara Margareta Cecilia Pilskog serves as an Associate Professor in the Department of Physics and Technology at the University of Bergen, Norway, with dual affiliation at Haukeland University Hospital's Department of Cancer Treatment and Medical Physics. Her research bridges theoretical medical physics and clinical oncology applications, focusing on precision radiotherapy techniques and biological optimization. Her primary research interests center on proton therapy innovation, where she investigates biological optimization strategies using linear energy transfer (LET) and relative biological effectiveness (RBE) modeling. She develops adaptive radiotherapy frameworks to address inter-fractional motion in pelvic cancers, particularly prostate and rectal malignancies. Her work also pioneers neutron-based in-vivo range verification systems and statistical deformation models for dose accumulation. Current projects emphasize reducing treatment margins through anatomical robustness and optimizing biological dose distributions for organ sparing. Analysis of her 15 most recent publications reveals a dominant focus on improving proton therapy precision for pelvic cancers through biological modeling and motion management. Approximately 70% of her work addresses prostate cancer applications, with significant contributions to adaptive strategies for inter-fractional changes and biological optimization techniques. Her research consistently employs Monte Carlo simulations (particularly FLUKA) and clinical data analysis to translate theoretical models into clinically viable solutions. No scientific awards were documented in the provided materials. While specific advising details remain unreported, her collaborative patterns indicate active mentorship within the University of Bergen's medical physics research ecosystem. Her publications consistently involve junior co-authors from clinical physics teams at Haukeland University Hospital, suggesting hands-on supervision of technical staff and research fellows in radiotherapy innovation projects. Grant funding appears primarily channeled through institutional hospital-university partnerships focused on clinical translation of advanced radiotherapy techniques. Dr. Pilskog operates within the University of Bergen's medical physics research cluster that maintains close operational ties to Haukeland University Hospital's radiotherapy department. This integrated academic-clinical environment enables direct implementation of her research on adaptive proton therapy and biological optimization into clinical workflows, with particular emphasis on pelvic cancer treatment protocols. The team utilizes advanced Monte Carlo simulation platforms and clinical treatment planning systems to develop and validate next-generation radiotherapy approaches.

• Medical Physics
• Radiation Oncology
• Proton Therapy
• +۳ مورد دیگر

Cathrine Arntzen is a Professor at the Department of Health and Care Sciences, UiT The Arctic University of Norway, and Academic Director at the Center for Care Research North. Her work spans health services research, occupational therapy, and rehabilitation within municipal healthcare systems. She contributes to projects like RehabLos and engages in co-design methodologies. Affiliation: UiT The Arctic University of Norway Directorship: Center for Care Research North Research: Rehabilitation, occupational therapy, e-health, and service co-design Her research focuses on person-centered rehabilitation, service coordination across sectors, and digital health systems. She explores user involvement, organizational factors in care delivery, and innovative models for chronic disease management, particularly in rural contexts. Recent publications address unplanned hospital admissions among elderly, digital rehabilitation tools, stroke recovery, and supported employment integration. She employs qualitative methods, mixed-method designs, and action research to analyze healthcare challenges in Northern Norway. Arntzen collaborates with multidisciplinary teams on projects such as RehabLos, which emphasizes community-based rehabilitation models for individuals with acquired brain injuries. Her work bridges academic research with municipal healthcare practice.

• Health Services Research
• Occupational Therapy
• Rehabilitation
• +۱۲ مورد دیگر

Alessandro Giuliano Treves is a full-time Professor at the Institute of Psychosocial Health , University of Agder. His research focuses on computational neuroscience, hippocampal function, and neural network modeling, particularly in spatial memory, grid cells, and cognitive dynamics. Key contributions include theories on attractor networks, latching dynamics, and hippocampal remapping. Recent work explores variability in quasi-attractor systems and prefrontal schemata in thought composition. His publications span high-impact journals like Nature , Science , and PNAS , often collaborating with neuroscientists such as May-Britt and Edvard Moser.

• Computational Neuroscience
• Neurobiology
• Cognitive Neuroscience
• +۳ مورد دیگر

Frank Eirik Abrahamsen is an Associate Professor in the Department of Sport and Social Sciences at the Norwegian School of Sport Sciences. He earned his PhD in 2007 with research focused on performance anxiety in elite sports. With extensive practical experience, Abrahamsen has worked with international-level athletes across more than 40 sports, participated in four Olympic Games and four Paralympic Games, and consulted with the Norwegian national male soccer team. His research interests center around creating optimal environments for development, wellbeing, and peak performance across all athletic levels. Abrahamsen's scholarly work primarily explores motivation, stress, anxiety, focus and concentration within applied sport psychology contexts. His recent publications demonstrate a broadening scope that now includes rehabilitation science, particularly examining how sports-based interventions benefit individuals with acquired brain injuries. Abrahamsen's teaching portfolio spans bachelor's degrees in training, coaching and sports psychology, master's degrees in coaching and sports psychology, and PhD-level instruction on practical research ethics and privacy. His work on projects like Mind in Motion (MiM) and research into health-compromising behaviors among Norwegian youth athletes reflects his commitment to translating theoretical knowledge into practical applications that benefit athletes at all levels.

• Motivation
• Stress
• Anxiety
• +۴ مورد دیگر

Pedro Lind is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, where he serves in the Department of Information Technology with a focus on Artificial Intelligence. His academic appointments include active participation in research groups for Applied Artificial Intelligence and Mathematical Modeling. Dr. Lind's research spans interdisciplinary domains including: Biomedical AI applications (EEG classification, ECG analysis, eye tracking) Stochastic processes and complex systems modeling Trustworthy machine learning for security/privacy Physics-inspired computational methods Renewable energy statistics and modeling His recent publications demonstrate strong focus on developing novel AI methodologies for medical diagnostics (2024-2025), particularly using generative models and interpretable AI approaches for physiological data analysis. He leads significant research initiatives including the AI-Mind project developing diagnostic tools for dementia. Additional projects include international technology transfer collaborations with Czech Republic institutions. Dr. Lind maintains active research teams and labs focused on computational neuroscience and applied AI.

• Artificial Intelligence
• Physics
• Computer Technology
• +۴ مورد دیگر

Hanne Cathrine Lie is an Associate Professor at the Department of Behavioral Medicine, Faculty of Medicine, University of Oslo. Her work focuses on clinical communication, doctor-patient relationships, health literacy, and psychosocial aspects of somatic illness, particularly in cancer survivorship. She leads teaching initiatives and collaborates with institutions like the National Competence Service for Late Effects after Cancer Treatment and Radiumhospitalet. PhD in Psychology from the University of Western Australia (2009) Postdoctoral research in psychosocial oncology (2009-2013, 2013-2015) Her research spans psycho-oncology , health literacy , and chronic fatigue in cancer survivors , with recent studies on aerobic exercise interventions, transition care for adolescents, and non-pharmacological fatigue management. She investigates barriers to physical activity, work ability, and sexual health late effects in long-term survivors. Key trends in her 2022-2025 publications include: Systematic reviews of physician-patient communication strategies Nationwide cohort studies (NOR-CAYACS) on psychological symptoms Feasibility testing of multidisciplinary interventions Qualitative analyses of emotional concerns in follow-up consultations She contributes to guidelines like the International Late Effects of Childhood Cancer Guideline Harmonization Group and develops communication tools for survivorship care. Her work bridges interdisciplinary collaborations in clinical communication research.

• Patient perspective
• Clinical communication
• Doctor-patient relationship
• +۵ مورد دیگر

Michail Giannakos is a Professor of Interaction Design and Learning Technologies at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He serves as Head of the Learner-Computer Interaction Lab and has held visiting positions including EAISI Visiting Professor at Eindhoven University of Technology (2023-2024) and Honorary Professor at UCL Knowledge Lab (2022-2023). Previously, he was Associate Professor (2017-2020) and Senior Lecturer (2014-2017) at NTNU, and Assistant Professor at Old Dominion University (2013-2014). Dr. Giannakos's research focuses on the design and study of emerging technologies in online and hybrid education settings, with particular emphasis on student and instructor experiences. His work spans Human-Computer Interaction , Learning Analytics , Learning Technologies , and User Experience Research . He has co-authored over 150 peer-reviewed publications in leading journals including Computers & Education, Computers in Human Behavior, IEEE TLT, and ACM TOCE. His recent publications reveal a strong trend toward multimodal learning analytics, embodied interaction in educational contexts, and the application of generative AI in education. The research increasingly integrates physiological and cognitive measurements with traditional learning data to create more comprehensive educational insights. There's also a noticeable focus on STEM education, particularly in mathematics learning through embodied and multimodal approaches. EAISI Visiting Professor, Eindhoven University of Technology (2023) Honorary Professor, UCL Knowledge Lab, University College London (2022) IDC Best Paper Award (2022) ITiCSE Top 5 papers in 25 Years Award (2020) RCN Young Research Talent grant (2016) ERCIM "Alain Bensoussan" Fellow (2013) Outstanding Academic Award, NTNU (2017-2020) Dr. Giannakos actively supervises multiple PhD students and postdocs, including Giulia Cosentino and Andrew Pulsipher as main supervisees. He has successfully mentored numerous PhD candidates to completion, many of whom have gone on to academic positions. His research is supported by substantial grants from diverse sources including the European Commission (Horizon Europe, Horizon 2020), Research Council of Norway, US-NSF, Microsoft Research, and DAAD. Current major projects include STEAM Learning Ecologies (Horizon Europe, 2022-2025) and SURROUNDEDbySCIENCE (Horizon 2020, 2021-2025). As Head of the Learner-Computer Interaction Lab, Dr. Giannakos leads a multidisciplinary team exploring how emerging technologies can enhance learning experiences. The lab focuses on multimodal data collection, embodied interaction design, and the development of intelligent learning environments that adapt to user needs. Current work emphasizes the integration of generative AI with multimodal analytics to create more responsive educational systems.

• Human-Computer Interaction
• Learning Analytics
• Learning Technologies
• +۶ مورد دیگر

Peyman Mirtaheri is a Professor at the Department of Mechanical, Electronics and Chemistry (MEK) under the Faculty of Technology, Art and Design at Oslo Metropolitan University (OsloMet). He also holds an Adjunct Professor position at the Faculty of Biomedical Engineering at Michigan Technological University, USA. His primary role involves teaching courses such as Medical Sensors and Actuators (ACIT4720) and the upcoming BioInspired Systems (fall 2025). Research Interests: Professor Mirtaheri leads the ADEPT lab (ADvanced hEalth intelligence and brain-insPired Technologies) and ADEPT_technology, focusing on: Developing measurement techniques for brain activity detection and analysis Applying fNIRS (functional near-infrared spectroscopy) and EEG (electroencephalography) to study movement, balance, and cerebral cortex activity Advancing bio-inspired systems and health technology Key Projects: His active research includes Use of 3D printers in future rehabilitation (knowledge-based and patient-centered solutions) and completed work on Brain activity during walking and balance . Labs & Collaborations: He integrates his optical/NIRS laboratory into OsloMet's ADEPT lab, collaborating with institutions like Michigan Technological University and contributing to global conferences such as the IEEE International Symposium on Circuits and Systems and the ISPO World Congress .

• Medical Technology
• Biomedical Engineering
• Optics
• +۵ مورد دیگر

Marianne Fyhn is a Professor at the University of Oslo's Section of Physiology and Cell Biology within the Faculty of Mathematics and Natural Sciences. She leads the Centre for Integrative Neuroplasticity (CINPLA), a strategic research initiative integrating experimental biology with computational physics/mathematics to study brain information processing and plasticity. PhD in Neuroscience (NTNU, 2000-2005) MSc in Physiology (University of Tromsø, 1997-1999) Bachelor in Arctic Biology (University Courses in Svalbard, 1995-1996) BSc in Biology (University of Bergen/Oslo, 1992-1995) Her research focuses on neural plasticity mechanisms in cortical structures, using large-scale neuronal recordings and transcranial two-photon microscopy to study synaptic and population code changes during sensory learning. Key findings include discovering grid cells in mice and demonstrating how experience modifies cortical circuits for long-term memory. Recent publications analyze perineuronal nets' role in memory stabilization, grid cell conformal mapping, and topological population coding in visual cortex. These works reveal intersections between neural circuit dynamics , computational modeling , and neurodegenerative processes . 2008: European Brain and Behaviour Society Award 2007: Eppendorf-Science Prize in Neurobiology 2006: Donald B. Lindsley Prize & I.K. Lykke Award Fyhn serves as course manager for advanced courses including MBV1020 - Physiology and MBV4340 - Advanced Neurobiology . Her lab develops educational tools like Neuronify for neural circuit simulation and open-source platforms for electrophysiological data analysis.

• Neurobiology
• Neuroscience
• Physiology
• +۷ مورد دیگر

Eli Renate Grüner is a Professor at the University of Bergen's Department of Physics and Technology, with joint affiliations at Haukeland University Hospital. Her research focuses on advancing medical imaging techniques, particularly MRI-based methods for studying brain function, perfusion dynamics, and neurodegenerative disorders. She collaborates extensively with clinical researchers to translate imaging innovations into diagnostic applications. Grüner's interdisciplinary work bridges physics, neuroscience, and clinical medicine, developing analytical tools to quantify cerebral blood flow, neurotransmitter systems, and metabolic processes. Her neuroimaging research examines brain network dynamics, alcohol's effects on cognition, and pathological mechanisms in conditions like dementia and Tourette syndrome. Her publications demonstrate expertise in perfusion imaging algorithms, fMRI analysis, and spectroscopic methods. Recent work includes developing visualization tools for spectroscopy data and investigating network switching during cognitive processing.

• Medical Physics
• Neuroimaging
• Biomedical Engineering
• +۱ مورد دیگر