جستجوی استاد راهنمای دانشگاهی

• Biophysics
• Cell and Molecular Biology
• Medical Biotechnology
• +۳ مورد دیگر

Annica Gad is a Lecturer affiliated with the Department of Oncology-Pathology at Karolinska Institutet. She works within Katalin Dobra's research group focused on molecular pathology of the lung and pleura, combining biophysics and molecular biology to study cancer progression. Doctor of Philosophy (2005), Department of Laboratory Medicine, Karolinska Institutet Docent (2024), Karolinska Institutet Her research spans biophysics, cell biology, and oncology, focusing on cytoskeletal dynamics, vimentin regulation, oncogene effects on cell mechanics, and HDAC6 inhibition in cancer. She develops algorithms for filament network tracing and employs nanoscopy for subcellular analysis. Recent publications highlight her work on vimentin-targeting drugs, fibroblast migration, extracellular matrix mechanics, and cytoskeletal remodeling in cancer. Articles span high-impact journals in oncology, molecular biology, and biomedical engineering. Employment: Affiliated to Teaching/Tutoring (2024-2027), Lecturer (2025) Lab: Molecular pathology of the lung and pleura – Katalin Dobra's Group Research Themes: Cytoskeleton, mechanobiology, cancer metastasis, HDAC6, Rho GTPases

Kristiina Tammimiesمشاهده پروفایل

دانشیار

• Medical Genetics
• Neurodevelopmental Disorders
• Autism Spectrum Disorder
• +۵ مورد دیگر

Kristiina Tammimies is an Associate Professor in Medical Genetics at Karolinska Institutet, where she serves as Research Group Leader at the KIND competence center and Director of Studies for Doctoral Education at KBH since 2024. Her work is situated within the Department of Women's and Children's Health, specifically focusing on neuropsychiatric research. Dr. Tammimies' research program centers on understanding the genetic and molecular architecture of developmental neurological and neuropsychiatric conditions, with particular emphasis on autism spectrum disorder, ADHD, and language disorders. Her laboratory combines clinical, genetic, and molecular data with advanced analytical approaches including machine learning algorithms to uncover how genetic variations influence symptom profiles and intervention outcomes. Her research group employs both basic science approaches (using 2D and 3D cellular modeling techniques) and clinically-oriented projects to elucidate the molecular pathways affected by genetic factors in neurodevelopmental disorders. Through collaborations with autistic individuals and their families, her team works to translate genetic research findings into clinical practice that meets community needs. Dr. Tammimies' work has been supported by major funding bodies including the Swedish Research Council, Hjärnfonden, and Stiftelsen för Strategisk Forskning. Her research output spans genetics, molecular biology, clinical applications, and ethical considerations in psychiatric genetics, with a strong focus on improving early detection and intervention strategies for neurodevelopmental conditions.

• Hydropower Turbines
• Cavitation Modeling
• Computational Fluid Dynamics (CFD)
• +۷ مورد دیگر

Håkan Nilsson is a Full Professor in Fluid Dynamics at Chalmers University of Technology. His research focuses on computational fluid dynamics (CFD) with applications in hydropower systems, particularly turbine flow analysis, cavitation modeling, and generator cooling air dynamics. He utilizes OpenFOAM for numerical simulations and develops advanced algorithms for mesh deformation and flow control. Academic Rank: Full Professor Institution: Chalmers University of Technology Primary Research: Hydropower Turbines, Cavitation, CFD, Machine Learning, Multiphase Flow His recent work integrates machine learning with CFD for optimizing turbine operations and predictive maintenance in hydropower plants. Key projects include ALPHEUS and investigations into contra-rotating pump-turbine systems for low-head energy storage. Collaborations span experimental validation with experts in PIV, laser Doppler velocimetry, and industrial partners in renewable energy. Research trends highlight 15+ years of publications on turbulence modeling, vortex dynamics, and fluid-structure interaction in hydraulic systems. Sub-fields include Francis turbine transients, Kaplan turbine rotor-stator interactions, and applications in biomedical fluid dynamics and welding processes. Scientific awards are not explicitly mentioned.

Daniel Buncicمشاهده پروفایل

استاد

• Empirical Finance
• Macroeconomics
• Asset Pricing
• +۴ مورد دیگر

Daniel Buncic is Professor of Finance at Stockholm Business School, Stockholm University, specializing in empirical finance, macroeconomics, and econometrics. He holds a Ph.D. in Economics from the University of New South Wales and has held positions at Sveriges Riksbank and the University of St. Gallen. His research integrates machine learning with traditional econometric methods for financial forecasting and policy analysis. Research Focus: Buncic's work spans asset pricing, volatility forecasting, exchange rate dynamics, and macroprudential policy. He employs advanced techniques like Bayesian econometrics, nonlinear time-series models, and high-dimensional data analysis to address questions in financial stability and market predictability. His recent work critiques methodological approaches in natural rate estimation and equity return prediction. Publication Trends: His articles frequently address econometric methodology, financial market volatility, and monetary policy transmission, with a growing emphasis on machine learning applications in finance. Common themes include forecasting under structural breaks, model robustness, and cross-market interdependencies. Grants & Advising: He secured a 1.74M SEK grant (2020-2023) from the Jan Wallander & Tom Hedelius Foundation. Currently advising PhD student Qinglin Ouyang, he previously directed Stockholm University's Master’s in Banking and Finance program (2019-2022).

Anders Eklundمشاهده پروفایل

استاد

• Biofluid Mechanics
• Clinical Neuroscience
• Ophthalmology
• +۵ مورد دیگر

Anders Eklund is a Professor of Medical Engineering at Umeå University with dual appointments: as a Professor with joint clinical employment in the Department of Diagnostics and Intervention (Biomedical Engineering and Radiation Physics section) at Norrland University Hospital, and as a Professor in the Department of Applied Physics and Electronics. He is also an active member of the Centre for Biomedical Engineering and Physics. His research centers on biofluid mechanical applications in clinical neuroscience and ophthalmology, specifically investigating pressure and flow dynamics in the brain and eye to understand diseases like hydrocephalus and glaucoma. This interdisciplinary work bridges engineering principles with clinical practice through close collaboration with neurologists, ophthalmologists, and neurosurgeons. Professor Eklund's publication record demonstrates consistent output in high-impact journals, with recent work emphasizing cerebrospinal fluid dynamics, cerebral blood flow regulation, and glymphatic system function. His methodological approach integrates advanced 4D flow MRI techniques with computational modeling to translate engineering insights into clinical applications. Key research projects include MT4North (2020-2022) for medical technology innovation, studies on intraocular pressure reduction mechanisms in glaucoma (2014-2016), and investigations of microgravity effects on intracranial pressure. His work maintains strong clinical relevance through the Centre for Biomedical Engineering and Physics, which facilitates collaboration between engineers, physicists, and clinicians. The Centre for Biomedical Engineering and Physics provides Professor Eklund's research environment, supporting interdisciplinary projects that combine medical device development, advanced imaging, and clinical validation. This structure enables direct translation of engineering solutions to patient care, particularly in neurological and ophthalmological diagnostics.

• Structural Biology
• Protein Engineering
• Amyloid Research
• +۳ مورد دیگر

Pasi Purhonen serves as a Researcher at the Division of Biomedical Imaging within the Department of Biomedical Engineering at KTH Royal Institute of Technology. His institutional address is Hälsovägen 11 C in Solna, and he can be contacted via purhonen@kth.se. He actively contributes to undergraduate education as teacher for Chemistry for Technical Preparatory Year I (HF0023) and Clinical Chemistry and Microbiology (CM1006) , while serving as course responsible for Degree Project in Medical Technology, First Cycle (HL101X) . His research program centers on Structural Biology and Protein Engineering , with significant contributions in Amyloid Research , Enzymology , and Neurodegenerative Diseases . Utilizing advanced techniques including electron crystallography and mutagenesis, his work elucidates molecular mechanisms of enzymes such as aldolases and glutathione transferases, investigates protein aggregation pathways in Alzheimer's and Huntington's diseases, and develops biomimetic materials inspired by spider silk. This interdisciplinary approach bridges fundamental biochemistry with applications in neurology and materials science. Analysis of his publication record (2009-2024) reveals consistent focus on structural characterization of disease-relevant proteins. Key trends include the structural basis of enzyme catalysis in inflammatory pathways, protein misfolding mechanisms in neurodegeneration, and biomimetic approaches to material design. His work frequently combines biochemical assays with structural techniques to address questions in protein-lipid interactions and controlled protein aggregation. No scientific awards or fellowships were documented in the source material. Mr. Purhonen's academic service includes course coordination and instruction for first-cycle medical technology projects, though specific details about research grants or graduate student mentorship beyond undergraduate supervision are unavailable. His laboratory work appears integrated within KTH's structural biology infrastructure, likely involving collaboration with interdisciplinary teams in biomedical imaging and protein engineering. While explicit lab or team descriptions are absent from the source, his publication patterns suggest ongoing work in membrane protein structural analysis and biomaterials development.