جست‌وجوی استاد و پژوهشگر

Adrian Florin Raduمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Analysis
• Porous Media
• +۴ مورد دیگر

Adrian Florin Radu is a Professor in the Department of Mathematics at the University of Bergen, Norway. His research focuses on numerical analysis, applied mathematics, and computational methods for porous media systems, with particular emphasis on flow, transport, and coupled processes in complex environments. He has contributed to iterative schemes, upscaling techniques, and error estimation in multiphysics models. Key research areas include porous media flow, reactive transport, poromechanics, and numerical methods for coupled systems. His work addresses challenges in geosciences, environmental engineering, and mechanical systems through advanced mathematical modeling and simulation. Notable contributions include iterative coupling strategies for poroelasticity, adaptive time-stepping methods, and global random walk solvers for biodegradation processes. Radu's publications span topics such as dynamic capillary effects, fracture network modeling, and error analysis in wave equations. He has been involved in projects funded by the Research Council of Norway, including the FRACFLOW initiative. His research bridges theoretical developments with practical applications in environmental and energy systems.

Stefan Brucknerمشاهده پروفایل

استاد

• Data Visualization
• Interactive Visualization Techniques
• Biomedical Data Visualization
• +۴ مورد دیگر

Stefan Bruckner is a Professor of Visualization, currently heading the Chair of Visual Analytics at the University of Rostock, Germany, after previously serving as a full Professor at the University of Bergen, Norway. He holds a master's (2004) and PhD (2008) in Computer Science from TU Wien, Austria, and an habilitation (2012). His research focuses on interactive visualization techniques, particularly in biomedical and data-driven contexts, with contributions spanning illustrative visualization, volume rendering, and narrative medical storytelling. He has led industry collaborations with GE Healthcare and Agfa HealthCare, resulting in 7 patents. His academic roles include program co-chair for EuroVis, PacificVis, and the Eurographics Medical Prize, and editorial board membership in IEEE Transactions on Visualization and Computer Graphics and Computers & Graphics. Awards include the Eurographics Young Researcher Award and Karl-Heinz-Höhne Award for Medical Visualization, alongside 11 best paper awards. Research emphasizes narrative visualization for disease communication, user-centric medical data exploration, and innovative visual metaphors like Honeycomb Plots and ScrollyVis. His work bridges academic research with practical applications, fostering interdisciplinary collaborations in healthcare and computational biology.

Ivan Violaمشاهده پروفایل

استاد

• Medical Visualization
• Molecular Visualization
• Data Visualization
• +۳ مورد دیگر

Ivan Viola is a Professor at the University of Bergen's Department of Informatics. His research focuses on medical and molecular visualization, with a particular emphasis on biomedical applications such as fetal ultrasound analysis, protein interactions, and biomolecular dynamics. He leads the VisGroup, developing tools like COZOID for protein-protein interaction analysis and The Vitruvian Baby for fetal ultrasound standardization. His work spans interdisciplinary collaborations, integrating computer science with biology and medicine. Key contributions include advancements in visualization techniques for physiological data, molecular dynamics simulations, and real-time data processing. He has published extensively in top journals and conferences, addressing challenges in data exploration, abstraction, and interactive visualization. Viola's research impacts fields such as prenatal diagnostics, drug discovery, and medical imaging, with tools like Watergate for water trajectory analysis and cellVIEW for multi-scale biomolecular rendering. His projects emphasize user-driven design and the development of intuitive visualization solutions for complex scientific data.

Julius Parulekمشاهده پروفایل

دانشیار مدعو

• Molecular Visualization
• Bioinformatics
• Computer Graphics
• +۲ مورد دیگر

Julius Parulek is an Adjunct Associate Professor at the University of Bergen's Department of Informatics, specializing in molecular visualization and computational methods for biomolecular structures. His work focuses on developing tools and techniques for interactive exploration of protein dynamics, ligand transportation, and large-scale biological datasets. He collaborates with domain experts in biochemistry and structural biology to create visualization solutions for complex molecular processes. Research interests include: Interactive visualization of protein tunnels and cavities Multiscale rendering of biomolecular complexes Geological modeling and sketch-based visualization Agent-based modeling for biochemical processes Key contributions include: Development of the cellVIEW tool for large-scale biomolecular visualization Pioneering work on continuous levels-of-detail for molecular surfaces Techniques for unfolding protein tunnels to analyze their dynamics His research bridges computer graphics with structural biology, enabling scientists to better understand molecular mechanisms through advanced visualization approaches.

Erlend Hodnelandمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Radiomics
• Tumor Segmentation
• +۳ مورد دیگر

Erlend Hodneland is a Researcher at the University of Bergen's Department of Informatics, affiliated with the Mohn Medical Imaging and Visualization Centre (MMIV). His work bridges medical imaging, radiomics, and machine learning, focusing on tumor analysis and prognostication in cancers like cervical and endometrial cancers. He specializes in developing automated tumor segmentation techniques and tools for radiomic signature analysis, integrating visualization and computational methods to enhance clinical decision-making. His research interests include medical imaging analytics, radiomics for cancer prognosis, and interactive visualization frameworks for multiparametric medical data. Collaborations involve radiologists, oncologists, and computer scientists to translate imaging data into actionable insights. Key projects include the RadEx platform for radiomic tumor profiling and automated segmentation algorithms for cervical cancer studies. Notable contributions include MRI-based delta radiomics for tracking tumor responses during chemoradiotherapy and fully automatic whole-volume tumor segmentation. His work emphasizes precision medicine through quantitative imaging biomarkers and interdisciplinary approaches to medical data analysis.

Linn Emilie Sevil Hælljesenمشاهده پروفایل

پژوهشگر

• Visualization
• Medical Visualization
• Visual Data Science
• +۳ مورد دیگر

Linn Emilie Sevil Hælljesen is an Associate Junior Researcher affiliated with the Department of Informatics at the University of Bergen. She is a core member of the VisGroup, a research group focused on visualization and visual data science. Her work aligns with the group's initiatives in medical visualization, human-computer interaction, and computational methods for data analysis. Her research interests are centered on advancing visualization techniques, particularly in medical contexts, and she contributes to the development of visual data science tools. The VisGroup's projects, including hiring for PhD and faculty positions in visualization, reflect her involvement in expanding the field's applications and academic growth. No scientific awards or grants are explicitly mentioned in the provided texts. Her advising activities are not detailed here, but her role in the VisGroup suggests participation in mentoring students through group activities.

Thomas Trautnerمشاهده پروفایل

مدرس

• Visualization Hybridization
• Spatialization Cues
• Data Visualization
• +۳ مورد دیگر

Thomas Trautner is a University Lecturer at the Department of Informatics, University of Bergen, Norway, specializing in visualization techniques. He holds a PhD in Visualization (2022) and master's/bachelor's degrees in Visual Computing from TU Wien, Austria. Education: Bachelor's in Media Informatics and Visual Computing (2016), TU Wien Master's in (Media Informatics and) Visual Computing (2018), TU Wien PhD in Visualization (2022), University of Bergen Research Interests: Focuses on Visualization Hybridization—combining visualization techniques using spatialization cues to enhance data representation. Key areas include: Overplotting solutions for dense data (e.g., Honeycomb Plots, Sunspot Plots) Order-dependent rendering optimizations (e.g., Line Weaver) Interactive analysis of molecular dynamics simulations Publications: His work spans 2019–2022, emphasizing novel visualization methods for dense datasets and hybrid techniques. Notable contributions include integrating spatial encoding cues and addressing transparency order challenges in line charts. Labs/Teams: Member of the Visualization Research Group at UiB, collaborating on projects like Line Weaver and Honeycomb Plots . Active on GitHub with repositories for visualization tools.

Robert Lawمشاهده پروفایل

پژوهشگر ارشد

• Glaciology
• Planetary Science
• Climate Change
• +۳ مورد دیگر

Robert Law is a Postdoctoral Fellow (Research Fellow) at the Department of Earth Science, University of Bergen, affiliated with the Quaternary Geology and Paleoclimate research group. His work focuses on glaciology, planetary science, and cryosphere dynamics, with a particular emphasis on understanding ice dynamics in polar regions and icy moons. He employs advanced techniques such as fiber-optic sensing, borehole observations, and numerical modeling to study processes like hydrofracture mechanisms, subglacial hydrology, and ice sheet stability. Key research projects include investigations into Greenland Ice Sheet outlet glaciers, temperate ice dynamics, and the application of models like ELSA v2.0 for ice layer tracing. His interdisciplinary approach combines fieldwork, remote sensing, and computational methods to address climate-related questions. Law has contributed to significant datasets, including ice temperature profiles and subglacial sediment analysis, furthering our understanding of glacial systems.

Elco Luijendijkمشاهده پروفایل

دانشیار

• Hydrogeology
• Groundwater Systems
• Climate Change Impacts
• +۳ مورد دیگر

Elco Luijendijk is an Associate Professor in Hydrogeology at the Department of Earth Science, University of Bergen (UiB). His research focuses on the interplay between groundwater systems, geological processes, and climate change impacts. He is affiliated with the Geodynamics and Basin Studies research group and the Bjerknes Centre for Climate Research. His work emphasizes understanding drainage density dynamics, subsurface flow processes, and the role of groundwater in landscape evolution. Key contributions include developing coupled models of groundwater flow and surface processes, particularly highlighted in his 2022 study on transmissivity's influence on drainage density. His research spans hydrogeological modeling, thermochronology, and environmental applications like coastal groundwater nutrient dynamics and nuclear waste repository safety assessments. Elco has authored over 50 peer-reviewed articles, with recent work addressing global groundwater recharge patterns, climate sensitivity, and subterranean estuary biogeochemistry. His interdisciplinary approach bridges geology, hydrology, and computational modeling, contributing to both theoretical advancements and practical challenges in water resource management and environmental safety.

Anna Nele Mecklerمشاهده پروفایل

استاد

• Paleoclimatology
• Geochemistry
• Marine Geology
• +۳ مورد دیگر

Anna Nele Meckler is a Professor at the University of Bergen (UiB), affiliated with the Department of Geosciences and the Bjerknes Centre for Climate Research. Her research focuses on paleoclimatology, geochemistry, and marine geology, with a particular emphasis on reconstructing past ocean temperatures using clumped isotope thermometry and speleothem analysis. She leads projects such as DOTpaleo (Deep Ocean Temperatures in the Paleogene Greenhouse) and FluidMICS (Fluid Inclusion MICrothermometry in Speleothems), funded by the Research Council of Norway and the European Research Council (ERC). Her work explores Eocene to present climate transitions, including deep-sea temperature changes, Eocene-Oligocene boundary dynamics, and tropical climate variability. Collaborations span international institutions, and her findings contribute to understanding climate mechanisms in warmer worlds. Education: Not explicitly detailed in provided texts. Research Groups: Quaternary Geology and Paleoclimate. Key Projects: DOTpaleo : Investigates Paleogene greenhouse climate and deep ocean temperatures. FluidMICS : Develops speleothem microthermometry techniques for temperature reconstructions. Grants: Norwegian Research Council (Project 314371). ERC (Project 101001957). Labs/Teams: Active in UiB’s Department of Geosciences and the Bjerknes Centre. Her recent publications emphasize clumped isotope applications, tropical temperature reconstructions, and model-proxy comparisons for Eocene climates. These studies enhance tools for paleo-temperature analysis and inform climate change studies.

• Fluid Dynamics
• Oceanography
• Turbulence
• +۳ مورد دیگر

Simen Ådnøy Ellingsen is a Professor in the Department of Energy and Process Engineering at NTNU. His research focuses on fluid dynamics, particularly wave-turbulence interactions, remote sensing of ocean currents, and free-surface turbulence. He holds dual PhDs in War Studies (King's College London) and Quantum Physics (NTNU). Ellingsen has received prestigious awards including the ERC Consolidator Grant (2023-2027) and was recognized as an Outstanding Academic Fellow at NTNU (2018-2022). His work bridges experimental and theoretical approaches, with recent studies exploring vortex structures and gas transfer across air-water interfaces. Education: MSc in Technical Physics, NTNU (2001–2006) PhD in War Studies, King's College London (2006–2009) PhD in Quantum Physics, NTNU (2007–2011) Awards and Affiliations: Member, Royal Norwegian Society of Sciences and Letters Former member, Young Academy of Norway (2019–2023) Exxon Mobil Prize for Best PhD Thesis in Basic Research (2011) Research Trends: Recent publications emphasize experimental and computational studies of wave-current interactions, turbulence effects on surface deformations, and remote sensing techniques. His work addresses challenges in oceanography, environmental fluid dynamics, and geophysical fluid mechanics. Grants and Advising: Led the WaTurSheD project under the ERC Consolidator Grant Collaborations include interdisciplinary teams studying fluid dynamics and remote sensing Ellingsen’s contributions span academic and artistic domains, including his role in the prog rock band Shamblemaths, reflecting his creative dual identity.

• Computer Science
• Information Security
• Machine Learning
• +۳ مورد دیگر

Ahmad Hassanpour is a Research Fellow at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Information Security and Communication Technology. His research focuses on privacy-preserving technologies, machine learning, and computer vision, with particular expertise in facial recognition systems, generative adversarial networks (GANs), and differential privacy. Key research interests include addressing privacy-accuracy-fairness trade-offs in AI systems, developing advanced inpainting techniques for face reconstruction, and enhancing privacy in online social networks. He has contributed to frameworks like E2F-Net and E2F-GAN for eyes-to-face generation, as well as IRL-Net for localized image inpainting. Hassanpour has presented at prominent conferences such as IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), highlighting his work on privacy leakage analysis (2023) and privacy measurement frameworks (2022).

• Lattice-based Cryptography
• Homomorphic Encryption
• Privacy-Preserving Protocols
• +۳ مورد دیگر

Jeongeun Park is an Associate Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU). Her research focuses on lattice-based cryptography, homomorphic encryption, and privacy-preserving protocols, with a particular emphasis on fully homomorphic encryption (FHE) and its applications. She holds a PhD in Mathematics from Ewha Womans University (2021) and was a postdoctoral researcher at KU Leuven (2021–2024). Her educational background includes a BSc in Mathematics (2015) and a combined master-doctoral degree in Cryptology (2021), both from Ewha Womans University. Research interests span theoretical and practical advancements in cryptography, including FHE algorithms, privacy-preserving machine learning, and secure multiparty computation. She has contributed to foundational work on NTRU-based FHE, oblivious RAM, and privacy-preserving protocols like Pancea and SortingHat. Key awards include the 2017 Crypto Contest Special Award and NRF-funded research grants. Her work has been published in top venues such as Asiacrypt, SCN, and IEEE Transactions. She actively participates in academic governance, serving on program committees for PETS 2026, ISC 2025, and others, and reviews for major conferences and journals.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Sarang Shaikh is a Researcher at the Department of Information Security and Communication Technology, affiliated with the Faculty of Information Technology and Electrical Engineering at NTNU. He holds a master’s degree in computer science from Sukkur IBA University (2020) and is currently pursuing a PhD at NTNU. Previously, he served as a Visiting Lecturer at Sukkur IBA University. Education: PhD candidate in Information Security and Communication Technology, NTNU (ongoing) Master’s in Computer Science, Sukkur IBA University, Pakistan (2020) Research Interests: Sarang focuses on applied research in artificial intelligence, including machine learning, deep learning, and natural language processing (NLP). His work integrates language technologies and learning technologies to advance educational applications. He also explores agent-based modeling and simulation within computational frameworks. His expertise spans interdisciplinary areas such as AI-driven educational tools and secure communication systems. Advising & Grants: Currently a PhD student, Sarang has no formal advisees listed. However, he contributes to academic rigor by serving as a Reviewer for IEEE ACCESS . Specific grant details are not provided in the text. Labs/Teams: While no explicit lab or team affiliations are mentioned, his research aligns with the Department of Information Security and Communication Technology’s focus areas at NTNU’s Gjøvik campus.

• Biometrics
• Face Recognition
• Face Morphing Attacks
• +۳ مورد دیگر

Haoyu Zhang is a Researcher at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Gjøvik. His primary research focuses on biometric security with specialization in face recognition systems and countermeasures against morphing attacks. His research program centers on synthetic data generation for biometric security, including techniques like SynMorph for creating morphed face datasets and MIPGAN for identity-prior-driven attack generation. He investigates deep learning architectures such as Vision Transformers and diffusion models for morphing attack detection, while also exploring synthetic ethnicity alteration to address dataset bias and remote photoplethysmography for liveness detection. His work bridges theoretical generative models with practical security applications in face recognition pipelines. Publication analysis from 2021-2025 reveals a cohesive research trajectory advancing morphing attack methodologies through three interconnected strands: attack generation (e.g., MIPGAN, SynMorph), detection frameworks (e.g., Vision Transformer-based detectors), and dataset enhancement (e.g., synthetic ethnicity alteration). His 2025 doctoral dissertation synthesizes these contributions into a comprehensive framework for morphing attack generation, data augmentation, and detection. The work demonstrates consistent collaboration with Ramachandra, Raja, and Busch across IEEE and Springer venues, establishing him as a contributor to biometric security standardization efforts.