Find Academic Supervisors

Harald BarsnesView profile

Professor

• Bioinformatics
• Proteomics
• Computational Biology
• +5 more

Harald Barsnes is a Professor at the Department of Biomedicine, University of Bergen (UiB), Norway. He is also a research group leader at the Computational Biology Unit (CBU) within the Department of Informatics at UiB. His work bridges biomedical research and computational informatics, with a strong focus on proteomics and bioinformatics. Position: Professor Department: Department of Biomedicine Research Groups: PROBE (Proteomics and Bioinformatics Research Group), Systems Biology and Translational Cell Signaling Secondary Affiliation: Computational Biology Unit (CBU), Department of Informatics, UiB Email: harald.barsnes@uib.no Location: Jonas Lies vei 91, 5009 Bergen, Norway Online Presence: Research Group Website , GitHub , ORCID , Google Scholar Harald Barsnes' research is centered on developing open-source bioinformatics tools that enable researchers to analyze and share proteomics data effectively. His work emphasizes user-friendly software design, data visualization, and computational methods for mass spectrometry-based proteomics. The recent publications highlight a strong trend in bioinformatics tool development, data standards, and data visualization in proteomics. Key themes include the development of web-based frameworks like PeptideShaker Online, advancement of database search engines, de novo sequencing methods, and standardization efforts such as the Proteomics Standards Initiative Extended FASTA format. His work consistently promotes open science and data accessibility. Harald Barsnes has not been mentioned with any formal scientific awards in the provided text. He leads the PROBE research group, which develops tools for proteomics data analysis and visualization. While specific grants are not listed, his sustained publication output and leadership in open-source tool development suggest active funding and collaboration. He advises researchers within his group and contributes to training through accessible software and documentation. The Barsnes Group focuses on creating user-friendly, open-source bioinformatics solutions for proteomics. The group operates at the intersection of the Department of Biomedicine and the Computational Biology Unit, enabling translational research and systems biology applications. For more information, visit www.cbu.uib.no/barsnes .

• Deep Learning
• Explainable AI
• Uncertainty Analysis
• +2 more

Kristoffer Wickstrøm is an Associate Professor in the Machine Learning Group at UiT The Arctic University of Norway, where he serves as research leader for interpretability at SFI Visual Intelligence. His work focuses on deep learning, with emphasis on explainability, uncertainty modeling, and learning with limited data. Deep Learning Explainable Artificial Intelligence Uncertainty Analysis Medical Image Analysis Small Data Learning His recent research trends include: Explainable AI for medical imaging and time series Uncertainty quantification in neural networks Physics-informed learning for PET imaging Representation learning for healthcare applications Robustness in clinical AI systems Sea ice forecasting with deep learning Collaborations include work with: Prof. Gustau Camps-Valls (University of Valencia) Prof. Marina M.-C. Höhne (Technical University of Berlin) Prof. Robert Jenssen (UiT) Prof. Michael Kampffmeyer (UiT)

Roger StrandView profile

Professor

• Science and Technology Studies
• Responsible Research and Innovation (RRI)
• Ethics in Biomedicine
• +3 more

Roger Strand is a Professor affiliated with the Faculty of Humanities at the University of Bergen. He is a core member of the Research Group Theory of Science, focusing on scientific theory’s role in natural sciences, biomedicine, and environmental sciences. His work bridges complexity science, ethical analysis, and societal governance of emerging technologies. Key projects include leadership roles in EU initiatives such as MAGIC (2016-2024), addressing adaptive governance in complex systems; HEIRRI (2015-2018), promoting Responsible Research and Innovation (RRI); and CCBIO (2013-2018), an ELSA (Ethical, Legal, and Social Aspects) program in cancer biology. He has also led national projects like REFLEXIVE SYSTEMS BIOLOGY (2010-2013) and NORCAT (2003-2006), exploring complexity in environmental governance. His research interests emphasize the interplay between science, ethics, and policy. Notable themes include RRI frameworks, governance of the water-energy-food nexus, and societal implications of precision medicine, nanotechnology, and biobanking. He critiques Cartesian dualism in science-policy interactions and advocates for reflexive, participatory governance models. Strand collaborates internationally, including with the European Commission on RRI indicators and the Council of Europe on bioethics. His work often involves translating complex scientific issues into actionable policy frameworks through interdisciplinary dialogue and stakeholder engagement.

• Visualization narrative and rhetoric
• Critical visualization
• Human-data interaction
• +3 more

Laura Ann Garrison is an Associate Professor in the Department of Informatics at the University of Bergen, focusing on visualization and human-data interaction in health sciences. She holds a PhD from UiB and an MSc in Biomedical Visualization from the University of Illinois at Chicago. Her research examines narrative and rhetorical strategies in medical visualization, with a focus on improving audience engagement and decision-making through design principles. Affiliations: Mohn Medical Imaging & Visualization Centre (MMIV), Visualization Group at UiB Education: PhD (UiB), MSc (UIC), BA (Northern Michigan University) Research interests include critical visualization, biomedical illustration, and the ethical implications of data representation in healthcare. She teaches courses such as INF 252 (Visualization) and co-chairs the Bio+MedVis Challenge workshop. Recipient of awards including the Dirk Bartz Prize (2023) and Karl-Heinz Höhne Award (2021). Active in outreach, delivering talks on visualization best practices and accessibility in Norway and internationally.

Kjell PetersenView profile

Researcher

• Bioinformatics
• Genomics
• Cancer Biology
• +7 more

Kjell Petersen holds the position of Researcher at the Department of Informatics and the Computational Biology Unit at the University of Bergen. His research focuses on computational biology, bioinformatics, and genomics with applications in cancer biology, epigenetics, and environmental toxicology. He has contributed to the development of national e-infrastructure initiatives like NeLS (Norwegian e-Infrastructure for Life Sciences) and ELIXIR.NO, promoting data management and interoperability in life sciences research. PhD in Structural Biology (2002), University of Bergen Postdoctoral research in bioinformatics and computational methods Key research areas include transcriptomics, gene expression analysis, and viral metagenomics. He has published extensively on topics such as immune response characterization in fish, genomic profiling of cancer metastasis, and the integration of omics data across disciplines. Petersen's work bridges computational methods with experimental biology, addressing challenges in data-driven biomedical research. His articles highlight contributions to understanding cellular responses to environmental toxins, developing bioinformatics tools for variant visualization, and exploring phenotypic differences in brain cancer models. Petersen collaborates widely with institutions across Norway and internationally, contributing to projects like FUGE Bioinformatics and Digital Life Norway, which aim to advance national research infrastructure.

Ankica BabicView profile

Professor

• Medical Informatics
• Health Information Systems
• Mobile Health Applications
• +5 more

Ankica Babic is a Professor in the Department of Information Science and Media Studies at the University of Bergen, where she conducts research and teaching in medical informatics. Her academic work bridges information science and healthcare, focusing on the development and evaluation of information systems to improve healthcare delivery and patient outcomes. Professor Babic's research centers on Medical Informatics, with specific expertise in developing information systems for healthcare settings. Her work includes web-based systems, databases, and mobile applications designed to gather knowledge from medical data and improve information flow in healthcare systems. She has made significant contributions to areas including intelligent phonocardiography, HIV data reporting systems, mobile applications for chronic disease management, and digital twin technology for personalized healthcare. Her research is characterized by close collaboration with healthcare professionals and medical experts, ensuring practical applicability of her work. Analysis of her recent publications reveals a strong focus on digital innovation in healthcare, particularly in the areas of digital twins for heart care, AI applications in cognitive decline diagnosis, and mobile platforms for patient self-monitoring. Her research shows an evolving trajectory from foundational work in electronic medical records and data management toward more sophisticated applications of artificial intelligence and personalized health technologies. The interdisciplinary nature of her work spans computer science, healthcare delivery, and patient-centered design. Professor Babic has supervised numerous students and collaborated on various application development projects including Cherry (a mobile application for children with cancer), self-reporting tools for bipolar patients, safety reporting applications for postoperative care, and multiple sclerosis management applications. Her teaching portfolio includes courses on information science, data management, and artificial intelligence at both bachelor's and master's levels. Her research group appears to focus on medical informatics with particular strength in mobile health applications, data visualization, and AI applications in cardiology and chronic disease management. The team frequently collaborates with healthcare institutions in Norway and internationally, particularly on projects related to HIV data reporting in Kenya and other low-resource settings.

Hauke BartschView profile

Adjunct Associate Professor

• Medical Visualization
• Biomedical Informatics
• Healthcare Data Analysis
• +3 more

Hauke Bartsch is an Adjunct Associate Professor at the University of Bergen’s Department of Informatics. His research focuses on medical visualization, imaging, and developing tools for clinical data analysis. He is part of the VisGroup, which specializes in visual computing for biology and medicine. His work integrates multimodal imaging data to address challenges in neurology (e.g., multiple sclerosis) and oncology (e.g., cervical cancer). He contributed to the MedUse tool for medication use analysis in the ABCD study and collaborates on projects like SMART on FHiR and electronic data capture systems (REDCap). Recent articles highlight advancements in longitudinal lesion visualization, automated tumor segmentation, and interactive medical imaging techniques. These contributions aim to improve disease characterization and support clinical research by enhancing data exploration and analysis workflows. No scientific awards are explicitly listed. He has not advised any students in the provided texts. His involvement in grants and labs is inferred through his role in the VisGroup, which actively pursues projects in medical visualization and data science.

Fourough GharbalchiView profile

Researcher

• Medical Visualization
• Biomedical Engineering
• Electrocardiography
• +3 more

Fourough Gharbalchi is a Researcher affiliated with the Department of Informatics at the University of Bergen, part of Team Smit under the supervision of Noeska Smit. Her work focuses on biomedical engineering and medical visualization, with applications in electrocardiography and inverse problem solving. She holds a PhD Candidate status and contributes to the VisGroup research initiatives. Her research interests include developing algorithms for medical imaging, signal processing in biomedical contexts, and computational methods for solving complex physiological challenges. Notably, she has explored reduced lead-set techniques for cardiac imaging and computer vision applications for animal behavior analysis. Fourough’s publications reflect her expertise in combining mathematical methods (e.g., Lanczos bidiagonalization) with medical applications. She is actively involved in the VisGroup’s projects and hiring efforts in visualization and data science. No scientific awards or grants are explicitly listed, but her involvement in academic teams indicates active participation in research collaborations.

Svein BrekkeView profile

Researcher

• Medical Imaging
• Ultrasound Visualization
• Computer Graphics
• +3 more

Svein Brekke is a Senior Researcher at the University of Bergen's Department of Informatics. His work focuses on advancing visualization techniques for medical imaging, particularly ultrasound diagnostics. He contributes to the VisGroup, a research team dedicated to real-time visualization solutions. Research Interests: Ultrasound visualization pipelines Real-time medical imaging Segmentation and registration techniques Augmented reality applications in diagnostics His notable publication analyzes the ultrasound visualization workflow, categorizing techniques across pre-processing, rendering, and AR integration. No scientific awards are explicitly listed. Current roles include participation in VisGroup's research initiatives and academic hiring efforts.

Anne-Kristin StavrumView profile

Researcher

• Molecular Visualization
• Biological Data Visualization
• Scientific Animation
• +3 more

Anne-Kristin Stavrum is a Researcher in the Department of Informatics at the University of Bergen. Her work focuses on innovative visualization techniques for biological systems, combining molecular modeling, animation, and interactive design to enhance scientific communication and education. Her research interests center on molecular visualization, biomedical illustration, and the development of tools for conveying complex biological processes. Notably, she contributes to projects like the PhysioIllustration initiative, funded by the Norwegian Research Council (NFR), which aims to create educational animations and visualizations of cellular and molecular mechanisms. Stavrum's publications emphasize interdisciplinary approaches, integrating computer graphics with biological data to address challenges in visualizing physiological processes such as polymerization and DNA repair. She collaborates with experts in visualization, bioinformatics, and molecular biology to advance methods for illustrating dynamic biological systems.

Anders HelgelandView profile

Associate Professor

• Computational Fluid Dynamics
• Biomechanics
• Medical Imaging
• +3 more

Anders Helgeland is an Associate Professor at the University of Oslo's Section for Autonomous Systems and Sensor Technologies (20% position at ITS). He holds a concurrent 100% research position at the Norwegian Defence Research Establishment (FFI). His work focuses on computational fluid dynamics, biomechanical modeling of cerebrospinal fluid (CSF) dynamics, turbulence visualization, and medical imaging techniques. Key research areas include analyzing CSF flow in Chiari malformation patients using numerical simulations and developing advanced visualization frameworks for 3D data analysis. Helgeland's publications span neurosurgical modeling, flow noise simulations, and turbulence analysis. His interdisciplinary approach bridges biomedical engineering with computational mechanics, contributing to both clinical and engineering applications. He has collaborated extensively with institutions like the University of Utah (Victor Haughton) and the Simula Research Laboratory (Kent-Andre Mardal). His research trends emphasize medical fluid dynamics, visualization tool development, and turbulence mechanics. Notable contributions include modeling CSF pulsation effects in spinal canals and creating multi-field visualization systems for complex datasets.

• Artificial Intelligence
• Data Science
• Marine Environmental Monitoring
• +6 more

Di Wu is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of ICT and Natural Sciences and the Department of Language and Literature. Located at the Ålesund campus, Wu's academic work bridges computational methods with environmental and linguistic applications. Research interests include: AI-driven solutions for urban water supply systems Marine environmental monitoring through citizen science platforms Fluid simulation techniques Deep learning architectures Epidemiological modeling Financial data analysis Recent publications demonstrate expertise in computer vision, multi-source remote sensing analysis, and multimodal sentiment processing. Wu's work spans applications in medical diagnostics, environmental science, and industrial automation. Key projects include: PlastOPol marine litter monitoring system COSE ocean simulation environment Computational risk modeling for sustainable urban water supply

• Computing Education
• Agile Methodologies
• Student Active Learning
• +3 more

Grethe Sandstrak is an Associate Professor at the Department of Computer Science , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology. As Program Manager for the Bachelor of Engineering in Computer Science , she focuses on curriculum development and innovative teaching methods. Specializes in student active learning , agile methodologies , and welfare technology Core research in Computing Education , collaborating with the Motion Capture and Visualization (Vizlab) research group Key publications on cross-campus pedagogy , VR-based neuroscience , and student engagement in program quality Recipient of the Excellent Teaching Practitioner award. Active in Erasmus+ Strategic Partnerships and EU LLP programs related to serious games and rehabilitation technology .

• Health Informatics
• Medical Informatics
• Computer-Mediated Communication
• +5 more

Pieter Jelle Toussaint is a full-time Professor at the Department of Computer and Information Science, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on Health Informatics and Medical Informatics , particularly in computer-mediated communication and computer-supported cooperative work (CSCW) in healthcare settings. MSc in Informatics and General Linguistics from Leiden University PhD in Medical Informatics from Leiden University His research examines how technology can improve clinical workflows and coordination in hospitals. Current projects involve process mining in healthcare, designing awareness systems to reduce synchronous communication, and analyzing information quality in hospital-community healthcare exchanges. He has led major research initiatives like the SIKT and COSTT projects. Professor Toussaint has acquired significant research funding including 23 million NOK from the Norwegian Research Council for the COSTT project and 2.4 million NOK for the SIKT project. His publications explore topics such as electronic health records (EHR), mobile sensing in substance use research, and challenges in clinical software design. He has supervised three completed doctoral students and currently mentors five PhD candidates. His leadership roles include heading the Information Systems and Software Engineering research group at NTNU and serving on the strategic board of NTNU Health.

Martin GieseView profile

Professor

• Applied Logics
• Formal Methods
• Semantic Web/Semantic Technologies
• +9 more

Martin Giese is a Professor at the Department of Informatics (IFI), University of Oslo , specializing in applied logics , formal methods , and semantic technologies . He is affiliated with the Data and Knowledge Systems (DKM) research group and has held postdoctoral positions at RICAM, RISC, and Chalmers University of Technology. PhD and Diploma in Computer Science from Universität Karlsruhe (2002/1998) Secretary of the Association of Automated Reasoning and CADE Inc. (2010–2018) Steering Committee member of Tableaux (2009–2017), Vice President (2013–2017) His research focuses on semantic web technologies , ontology-based data access (OBDA) , and industrial applications of formal methods. Key contributions include the development of OptiqueVQS (visual query system for big data) and GeoFault (ontology for geological modeling). Recent publications address SPARQL optimization with SHACL , digital twins , and geological process simulation . Scientific collaborations span institutions like Statoil , Siemens , and ACM/IEEE conferences. His work bridges theoretical logic with practical industrial data challenges , emphasizing user-centric semantic systems and scalable solutions for cross-linked datasets.