جستجوی استاد راهنمای دانشگاهی

Guangyu Cao is a Professor at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). He holds leadership roles in multiple international organizations, including the European standards working group CEN TC156 WG18, REHVA's technical committee, and the editorial board of the Journal of Building Engineering (Impact Factor 5.318). His research focuses on indoor airflow dynamics, ventilation systems in healthcare settings, and airborne disease transmission mitigation, with a strong emphasis on surgical environments and school buildings. Education: PhD in Energy Engineering (2009), Helsinki University of Technology Senior Researcher at VTT Technical Research Center (2009-2014) Research Interests: Hospital ventilation optimization, thermal comfort in clinical settings, airborne infection control, and sustainable building environmental quality. He combines experimental studies with mathematical modeling to evaluate ventilation strategies, particularly in operating rooms and isolation wards. Projects: EU Marie Curie DTN HumanIC (2024–2027) EU H2020 iclimabuilt (2021–2025) NFR POSIred (2020-2024) Labs/Teams: Collaborates with St. Olav's Hospital on indoor environment projects and leads teams in Cold Climate HVAC and Healthy Building Europe initiatives.

• Hospital Ventilation
• Indoor Airflow Distribution
• Thermal Comfort
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Ali Ramezani-Kebrya is an Associate Professor with tenure in the Department of Informatics at the University of Oslo (UiO), where he leads research in machine learning theory. He holds dual Principal Investigator roles at the Norwegian Center for Knowledge-driven Machine Learning (Integreat) and SFI Visual Intelligence, and is an active member of the European Laboratory for Learning and Intelligent Systems (ELLIS) Society. His service includes Area Chair positions for NeurIPS and AISTATS, and Action Editor for Transactions on Machine Learning Research. His research focuses on theoretical foundations of deep learning with emphasis on understanding input data distribution encoding in neural network layers. Key themes include minimizing statistical risk under resource constraints, addressing distribution shifts in distributed settings, and developing practical tools for robust federated learning. Current applications span emotion recognition, marine data analysis, and neuroscience, reflecting his commitment to real-world machine learning challenges as evidenced by his FRIPRO-funded Machine Learning in Real World (MLReal) project. Recent publication trends reveal three dominant threads: (1) label/covariate shift mitigation in distributed systems through entropy regularization and density ratio estimation; (2) communication-efficient optimization via layer-wise quantization and adaptive compression techniques achieving 150% speedups; and (3) robustness guarantees against tailored attacks and distribution shifts. These works consistently bridge theoretical bounds with empirical validation across domains from GAN training to federated settings. Scientific recognition includes: FRIPRO Grant for Early Career Scientists (2025) for MLReal project SFI Visual Intelligence Spotlight Publication award (2023) for federated learning work He actively mentors 11 graduate students across Oslo and Tromsø universities, with recent PhD placements at Apple and NVIDIA. Current grant portfolio features the FRIPRO Early Career award and leadership roles in two major Norwegian research centers. His lab maintains strong industry collaborations through Vector Institute and EPFL, with recent hiring for PhD and postdoc positions in physics-informed machine learning.

• Machine Learning
• Deep Learning
• Federated Learning
• +۹ مورد دیگر

Tormod Fladby serves as an Adjunct Professor at the University of Oslo, with primary clinical and research affiliation at Akershus University Hospital's Division of Medicine and Laboratory Sciences. His work bridges clinical neurology and dementia research, focusing on practical applications of biomarker science for improved diagnosis and monitoring of neurodegenerative conditions. Dr. Fladby's research program encompasses several critical areas in cognitive disorders: Development and validation of blood-based biomarkers for Alzheimer's disease, particularly phosphorylated tau (p-tau217) Establishment of Norwegian normative data for neuropsychological tests including D-KEFS and Rey Auditory Verbal Learning Test Investigation of relationships between amyloid pathology, tau pathology, neuroinflammation, and cognitive outcomes Studies on cognitive recovery following stroke and rehabilitation Examination of sex differences in neurodegenerative processes and biomarker expression His recent publications reveal a strong trend toward precision medicine applications in dementia diagnosis, with particular emphasis on making biomarker testing more accessible through blood-based methods. Significant work focuses on culturally appropriate cognitive assessment tools for Scandinavian populations, addressing a critical gap in dementia diagnosis. His research consistently examines how different pathological processes interact to produce cognitive symptoms, with implications for both diagnosis and treatment. Dr. Fladby actively collaborates with the Clinical Neuroscience Group at Akershus University Hospital, working within a multidisciplinary team that includes neurologists, neuropsychologists, and laboratory scientists. His work has direct clinical relevance for improving diagnostic accuracy in memory clinics and developing more effective monitoring strategies for patients with cognitive disorders.

• Alzheimer's Disease
• Dementia
• Cognitive Impairment
• +۶ 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

Professor Sunniva Cristina Bragdø-Ellenes holds a Professorship in Administrative Law at the Department of Law, University of Agder (UiA). Her expertise spans administrative law, comparative administrative law, child welfare law, constitutional law, civil procedure, and legal cultures. She completed her PhD on 'Review of administrative decisions in Norway, Sweden and France' at the University of Oslo in 2009. Research & Teaching: Focuses on administrative law mechanisms, legal cultures, and comparative legal systems. Her work emphasizes Nordic legal traditions and cross-border legal comparisons. She advises on public sector legal reforms and chairs the Visual Artists' Aid Fund (2023–present) and the Council for Confidentiality and Research (2014–present). Key Publications: Includes Handbook on Legal Cultures (2023, Springer), Comparing Legal Cultures (2020, Fagbokforlaget), and articles on child welfare law, environmental administrative decisions, and competition law appeals. She has contributed to NOU policy reports on university law and competition boards. Awards & Recognition: While no specific awards are listed, her extensive advisory roles and prolific publication record highlight her influence in legal academia and policy-making. Grants & Labs: Engaged in research funded by UiA and external bodies like Oxford Research. Her work often intersects with policy implications, such as legal frameworks for universities and child welfare systems.

• Administrative Law
• Comparative Administrative Law
• Child Welfare Law
• +۳ مورد دیگر

Anton Liaimer is an Associate Professor in the Department of Arctic and Marine Biology at UiT The Arctic University of Norway. His research focuses on cyanobacterial symbiosis, secondary metabolite production, and environmental microbiology. Current affiliation: UiT The Arctic University of Norway Research group: Microorganisms and Plants Location: Biologibygget 2.036, Tromso Dr. Liaimer's work examines: Symbiotic relationships between cyanobacteria and host plants Molecular mechanisms of cellular differentiation Secondary metabolite characterization and biosynthesis Environmental resilience of microbial communities Genomic adaptations in symbiotic cyanobacteria Bioremediation applications using algae His publications reveal expertise in: Microbial ecology Natural product chemistry Genomic analysis Environmental biotechnology Plant-microbe interactions Marine microbiology Dr. Liaimer collaborates with researchers across Europe on: Arctic microbiology Bioactive compound discovery Symbiotic evolution Marine ecosystem restoration

• Cyanobacteria
• Symbiosis
• Secondary Metabolism
• +۳ مورد دیگر

Edmund Førland Brekke is a Full Professor at NTNU's Department of Engineering Cybernetics, specializing in autonomous maritime systems. He leads major projects like Autosea, Autosit, Autosight, and SFI Autoship. His research focuses on estimation theory, target tracking, SLAM, and collision avoidance for autonomous ships. He has held roles including Project Manager for key initiatives and was a Research Fellow at NUS's Acoustic Research Lab. Brekke teaches courses on sensor fusion and nonlinear state estimation. PhD: NTNU (2010), MSc: NTNU (2005) Research interests include sensor fusion, maritime navigation, and autonomous system safety. He supervises over 20 PhD students in topics like radar tracking, SLAM, and digital twins. His publications span collision avoidance algorithms, multi-sensor integration, and autonomous vessel control. He co-founded Zeabuz and collaborates on projects like Autoferry and AutoBarge. Recent work emphasizes maritime target tracking, scenario-based collision risk assessment, and sensor fusion for autonomous ferries. His contributions advance autonomous vessel autonomy and regulatory compliance with COLREGs.

• Autonomous Systems
• Target Tracking
• Navigation
• +۵ مورد دیگر

Dzan Zelihic is a Research Fellow at the Department of Special Needs Education, Faculty of Educational Sciences, University of Oslo, focusing on cognitive mechanisms in reading fluency and experimental eye-tracking methodologies. His academic background includes: Doctoral Research Fellow, University of Oslo (2021–present) Master’s in Special Needs Education, University of Oslo (2018–2020) Bachelor’s in Pedagogy, University of Lillehammer (2015–2018) His research investigates automaticity, interference, and simultaneous processing during reading, with emphasis on how adjacent words impede visual recognition. Using eye-tracking paradigms, he examines cognitive skills underlying reading fluency to address challenges in literacy development. This work bridges cognitive psychology and educational interventions for reading disorders. His 2025 publication in the Journal of Memory and Language demonstrates how adjacent words disrupt visual recognition, advancing understanding of parafoveal processing limitations. This aligns with broader trends in reading research focusing on real-time cognitive constraints during text comprehension. He contributes to the BetterReading project analyzing fluency gains and is affiliated with the CREATE research group (Centre for Research on Equality in Education Literacy and Numeracy in Context), which investigates contextual factors in literacy and numeracy development.

• Reading fluency
• Automaticity
• Interference
• +۳ مورد دیگر

Richard Michael Piech is an Associate Professor of Psychology in the Faculty of Social Sciences at the University of Social Sciences. His research investigates the intersection of cognitive processes, emotional regulation, and social behavior, with a focus on attentional mechanisms, altruism, and psychiatric conditions such as ADHD and schizophrenia. His work utilizes neuroimaging and behavioral paradigms to explore how internal states (e.g., hunger) and emotional stimuli influence cognition and decision-making. Research Themes : Interoception and Altruism, Attentional Capture, Cognitive Flexibility, Psychiatric Neurobiology, Family and Social Dynamics Recent Publications : 2024 study on Ghanaian youth caregivers, 2023 analysis of sibling relationships in foster care, 2017 work on interoception and prosocial behavior, 2010 papers on hunger modulation of attention and affective decision-making Methodologies : fMRI, Behavioral Experiments, Longitudinal Studies, Clinical Assessments His collaborations span institutions and disciplines, including neuroimaging research with Christian Kerskens (2012) and psychiatric studies with Diane Mullins (2016). Despite no specific awards highlighted in the text, his contributions to cognitive and clinical psychology are evidenced by publications in journals like Scientific Reports , Neuropsychologia , and Appetite .

• Cognitive Psychology
• Neuropsychology
• Emotional Processing
• +۴ مورد دیگر

Pardhasaradhi Bethi is a Research Fellow at the Department of Information and Communication Technology , University of Agder , specializing in lightweight deep learning models for edge computing and radar signal processing. Focus areas include object classification, sound recognition, and drone surveillance Collaborates with colleagues like Linga Reddy Cenkeramaddi and Srihari Pathipati Research Interests encompass edge AI , radar-communication convergence , and real-time IoT integration . His work emphasizes optimizing neural networks for low-power devices and improving tracking frameworks. Publication Trends show a strong focus on automotive radar , drone detection , and human activity analysis using deep learning techniques.

• Machine Learning
• Deep Learning
• Signal Processing
• +۷ مورد دیگر

Bjørn-Eivind Kirsebom serves as an Associate Professor II at UiT The Arctic University of Norway, specializing in clinical neuropsychology and neurology with a particular focus on dementia diseases. He holds the position of Head of the Dementia Disease Initiation (DDI) department in Tromsø, demonstrating his leadership in this critical research area. His research interests center on Alzheimer's disease, biomarker development, and regression-based norms for neuropsychological assessment. Dr. Kirsebom's work spans both clinical practice and research, contributing significantly to early diagnosis methods and monitoring of cognitive decline. His expertise in developing standardized cognitive testing protocols for Norwegian populations has been instrumental in establishing culturally appropriate diagnostic criteria. Analysis of Dr. Kirsebom's recent publications (2023-2025) reveals a strong emphasis on plasma biomarkers, particularly tau proteins, and their relationship to Alzheimer's disease progression. His research has explored the relationship between phosphorylated tau levels and cognitive impairment severity, blood-based biomarkers for early detection, and regression-based norms for cognitive testing that account for demographic variables. ResearchGate profile available ORCID: https://orcid.org/0000-0002-1413-9578 Dr. Kirsebom actively collaborates with researchers across Norway and internationally, as evidenced by his numerous co-authored publications. His work bridges clinical practice and research, with practical implications for improving diagnostic accuracy and understanding disease progression in dementia. He contributes to multiple research projects focused on early detection of Alzheimer's disease and related dementias, with particular attention to biomarker development and validation.

• Clinical Neuropsychology
• Neurology
• Dementia Diseases
• +۵ مورد دیگر

Olav Gaute Hellesø is a Professor and Head of the Department of Physics and Technology at UiT The Arctic University of Norway, where he has been employed since 1998 and led the department since 2021. He is a member of the Ultrasound, Microwaves and Optics research group, focusing on integrated optics and optical trapping of micro- and nanoparticles. Education : Cand. Scient. from University of Bergen (1989), DEA and Dr. from INP de Grenoble, France (1990, 1994) His research spans photonics applications in biomedical engineering, including Raman spectroscopy for extracellular vesicle analysis, metasurface-based optical trapping, and waveguide sensor development. Recent publications highlight innovations in dielectric nanotweezers, BIC-supported trapping systems, and self-supervised learning for spectral analysis. Collaborators include Md Rabiul Hasan, Mathias Novik Jensen, and Balpreet Singh Ahluwalia, with work featured in Nature Photonics , Optics Express , and ACS Applied Optical Materials . His team explores optical manipulation of biological nanoparticles, methane detection via cryptophane-cladded interferometers, and crystalline structure quality assessment using near-infrared tomography. As department head, Hellesø coordinates research in integrated optics and photonics. His laboratory in Teknologibygget Tromsø 3.060 focuses on photonic chip technologies for particle trapping and spectroscopic analysis. Current projects include optimizing metasurface sensitivity, developing low-noise Raman systems, and advancing on-chip methane sensors.

• Photonics
• Micro- and Nanotechnology
• Integrated Optics
• +۴ مورد دیگر

Julien Mayor is a Professor at the Department of Psychology, University of Oslo , specializing in Language Acquisition , Infant Speech Perception , and Computational Modeling in Psychology . His work bridges cognitive development with bilingualism and dialect exposure, focusing on how infants learn words through parental speech patterns. He leads the BabyLing project, developing tools like TLex for unbiased language screening.

• Language Acquisition
• Infant Speech Perception
• Cognitive Development
• +۵ مورد دیگر

Henrik Gustafsson is a Professor of Sports Science Research at Karlstad University , affiliated with the Department of Sport and Social Sciences . His research focuses on stress, recovery, and performance development in sports contexts, with specific emphasis on mindfulness, cognitive-behavioral approaches (CBT) , and fatigue in elite athletes . Current research explores burnout trajectories in adolescent athletes and spinal cord injury rehabilitation Key collaborations include experts in sports medicine, psychology, and education Research Interests cover: Athlete burnout and mental health Mindfulness applications in sports performance Psychophysiological stress markers Coach-athlete relationship dynamics Intervention sustainability and behavioral change Neurodiversity in athletic populations Recent publications analyze: Burnout prevention strategies Perfectionism in elite sports Psychosocial dropout predictors Rehabilitation through physical activity Cognitive interference under pressure Contact: henrik.gustafsson@kau.se

• Sports Psychology
• Athlete Burnout
• Mental Health in Sports
• +۳ مورد دیگر

Tor Endestad is an Associate Professor in Cognitive Psychology at the University of Oslo, specializing in Cognitive Neuroscience and Brain Imaging Methodology. He leads the Endestad Brain Imaging Group (EBIG) and serves as Head of the fMRI Laboratory at the Center for the Study of Human Cognition. His research focuses on visual information processing, attention, memory control mechanisms, and motor responses to conflicting stimuli. International collaborations with University of Regensburg (Germany) and University of California, Berkeley (USA) Key research areas: source memory, constructive perception, neural oscillations, and music-brain interactions Recent publications span topics like auditory stream encoding, musical sensibility genetics, and neuroimaging techniques. His work integrates fMRI, EEG, and fNIRS methodologies across cognitive and clinical domains. EBIG members include postdoctoral fellows and researchers from psychology, medicine, computer science, and linguistics disciplines. The group participates in UiO:Life Sciences initiatives.

• Cognitive Psychology
• Cognitive Neuroscience
• Brain Imaging Methodology
• +۷ مورد دیگر