جست‌وجوی استاد و پژوهشگر

Mateus De Oliveira Oliveiraمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Automated Theorem Proving
• Parameterized Complexity
• +۳ مورد دیگر

Mateus De Oliveira Oliveira is an Associate Professor in the Department of Informatics at the University of Bergen. His research focuses on theoretical computer science, automated theorem proving, parameterized complexity, formal verification, graph theory, and computational logic. His work spans algorithm design for constraint satisfaction problems, automated reasoning systems, and formal verification techniques. Notable contributions include advancements in width-based automated theorem proving, Petri net synthesis, and parameterized complexity analysis for graph algorithms. He leads the Autoproving project funded by the Research Council of Norway, exploring automated theorem proving through parameterized complexity theory. Recent publications highlight developments in symbolic functional decomposition, state canonization for theorem proving, and optimal dynamic programming algorithms. His research bridges foundational theory with practical applications in automated systems and formal methods.

Kristian Flikkaمشاهده پروفایل

دانشیار

• Proteomics
• Bioinformatics
• Mass Spectrometry
• +۴ مورد دیگر

Kristian Flikka is an Associate Professor at the Department of Informatics, University of Bergen. His research focuses on computational methods in proteomics, bioinformatics, and mass spectrometry. He has expertise in developing tools for proteomic data analysis, including clustering algorithms, spectral quality filtering, and biomarker discovery. His work bridges computational techniques with life sciences, addressing challenges in data preprocessing, error reduction, and interpretability in AI models. Education: PhD in Computational Methods in High-Throughput Proteomics Research (2007) MSc in Methods for Analyzing 2D Electrophoretic Gel Images (2002) Research Interests: His research spans proteomics, computational biology, and AI applications in time series classification. Key areas include: Development of open-source tools for mass spectrometry data (e.g., ms_lims) Prediction of membrane protein structures (BOMP program) Pre-analytical proteomic data treatment Explainable AI for end-user model interpretation Publications: Over 15 publications since 2002, with notable contributions in BMC Bioinformatics , Proteomics , and Nucleic Acids Research . Recent work explores XAI in time series classification, reflecting expanded interests in AI interpretability. Awards & Grants: No specific awards listed, but his research has been supported by grants like the Norwegian Research Council (329745, 2022-2026). Labs/Teams: Collaborates with interdisciplinary teams at the University of Bergen, NORCE Norwegian Research Center, and international partners (e.g., Ghent University). Active in computational proteomics and AI-driven bioinformatics projects.

Helwig Hauserمشاهده پروفایل

استاد

• Visualization
• Data Science
• Interactive Data Analysis
• +۵ مورد دیگر

Helwig Hauser is a Professor at the Department of Informatics, University of Bergen, specializing in visualization and data science. His research focuses on interactive visual data exploration, flow visualization, and applications in engineering, biomedical, and geoscience domains. He leads the Visualization research group and teaches courses in computer graphics and data science. Key research interests include scientific visualization, molecular dynamics analysis, high-dimensional data exploration, and visual analytics. His work spans computational fluid dynamics, medical imaging, and engineering simulation, with a focus on developing intuitive tools for complex data interpretation. Hauser has authored/co-authored over 100 peer-reviewed publications, including influential works on flow visualization, ensemble analysis, and interactive brushing techniques. He has edited conference proceedings such as PacificVis and serves on program committees for top visualization conferences. His contributions include open-source tools like the SemSeg project and collaborations with industry on automotive and biomedical applications. He advises graduate students and collaborates internationally, emphasizing interdisciplinary applications of visualization in medicine, geology, and engineering. Current projects explore AI-enhanced visualization, real-time data exploration, and multiscale molecular analysis.

• High-Performance Computing
• Graph Algorithms
• Social Network Analysis
• +۳ مورد دیگر

Johannes Langguth is an Associate Professor at the Department of Informatics, University of Bergen. His work focuses on high-performance computing, graph algorithms, and social network analysis. He has contributed to GPU acceleration techniques for cardiac simulations and graph processing on manycore architectures. Langguth's research intersects computational science with societal challenges, including misinformation detection in social media and conspiracy theory analysis. He leads projects on temporal interaction networks and has developed datasets like COCO and GECO to study pandemic-related disinformation. His interdisciplinary approach combines computer science with psychology and public health, addressing both technical and human aspects of information dissemination. Notable contributions include optimizing breadth-first search on Graphcore IPUs and applying graph neural networks for combinatorial problems. Langguth collaborates widely, with affiliations at Simula Research Laboratory and BI Norwegian School of Business. His work is funded by institutions like the Research Council of Norway and the EU, reflecting its applied and impactful nature in both academia and industry.

Johan Almeمشاهده پروفایل

استاد

• Particle Physics
• Detector Design
• Medical Imaging Technology
• +۳ مورد دیگر

Johan Alme is a Professor of Microelectronics at the Department of Physics and Technology, University of Bergen. He leads research on instrumentation for the ALICE experiment at CERN, focusing on detector design for the Forward Calorimeter (FoCal) and Inner Tracking System (ITS3). As program chair in physics, he drives curriculum reforms integrating programming into bachelor's courses and oversees initiatives like the Physics Room for active learning. He coordinates the UiB-led Proton CT project, developing medical imaging technology using CERN-derived sensors. As NORLHC-II project leader, he manages Norwegian contributions to CERN's detector and computing infrastructure. His research spans high-energy physics instrumentation, FPGA-based electronics, and technology transfer to medicine. Notable projects include FoCal's pixel layer readout systems, flexible sensors for ITS3, and proton CT's power management. Alme chairs conferences like TWEPP and NorCAS, and evaluates FPGA-related master's theses nationally. He actively engages in public outreach, delivering lectures on wireless communication, CERN's history, and career days for students. Recent publications emphasize detector modeling for proton therapy (e.g., silicon pixel charge collection) and femtoscopic studies in Pb-Pb collisions. His teaching awards reflect impactful pedagogical innovations, including LLM policy guidelines for academic integrity. Collaborations include international teams at CERN, Yale, and universities in Germany/Hungary. Key Roles: ALICE FoCal/ITS3 Coordinator, Proton CT Lead, NORLHC-II PI Teaching: PHYS223, PHYS298 (CERN internship), ELE350 (HVL) Awards: 2023/24 Realistutvalget Teacher of the Year

Fredrik Breienمشاهده پروفایل

دانشیار

• Game-Based Learning
• Narrative Design in Education
• Mixed Reality Technologies
• +۳ مورد دیگر

Fredrik Breien is an Associate Professor at the University of Bergen, affiliated with SLATE (Centre for the Science of Learning & Technology). He leads educational programs at SLATE and oversees development of the Interdisciplinary Master in Artificial Intelligence and Learning Sciences, launching in 2026. His research focuses on collaborative design frameworks like eLuna, which empowers stakeholder participation in creating narrative-driven game-based learning tools. With 20+ years of industry experience, he has designed over 60 game-based learning systems for museums, education sectors, and public initiatives. Education background includes advanced qualifications in informatics and media studies. Research emphasizes narrative structures in serious games, specifically evaluating how non-linear narratives enhance engagement and learning outcomes. Key contributions include the eLNVM model for categorizing narratives in educational games and the mixed-reality visual language system in eLuna framework. Current work bridges academic research with practical applications, collaborating with science centers and educational institutions to develop immersive learning experiences. His interdisciplinary approach addresses challenges in stakeholder collaboration, situational awareness in teams, and curriculum integration through game-based methods.

Ali Kerem Sayselمشاهده پروفایل

استاد

• System Dynamics
• Environmental Resource Management
• Sustainability Transitions
• +۴ مورد دیگر

Prof. Ali Kerem Saysel is a Professor of Geography at the University of Bergen (UiB), specializing in transdisciplinary environmental systems and system dynamics. He holds BS, MS, and PhD degrees in Industrial Engineering and Environmental Sciences from Boğaziçi University (1990, 1993, 1999). His research focuses on system dynamics modeling for environmental resource management, sustainability transitions, and stakeholder engagement in socio-technical systems. He has led projects addressing agricultural water management in the Mediterranean under the PRIMA program and contributed to the IPBES Global Assessment on Biodiversity. He teaches system dynamics courses at UiB and collaborates in ERASMUS+ initiatives, including MOOCs on the food-water-energy nexus. Education: BS Industrial Engineering (Boğaziçi, 1990); MS and PhD in Environmental Sciences (Boğaziçi, 1993/1999) Research interests include groundwater management, salinity/sodicity control, participatory modeling, and policy analysis. He has contributed to over 30 peer-reviewed publications and leads projects on sustainability transitions in megacities and Mediterranean regions. Active in editorial roles for System Dynamics Review and IPBES initiatives, he emphasizes interdisciplinary approaches to address complex environmental challenges.

Hans K. Hvideمشاهده پروفایل

استاد

• Entrepreneurship
• Corporate Finance
• Productivity and Innovation
• +۳ مورد دیگر

Professor Hans K. Hvide is a faculty member at the Department of Economics, University of Bergen, with affiliations to CEPR and the University of Aberdeen. His research focuses on entrepreneurship, corporate finance, productivity, and labor economics. He has advised master’s students on topics ranging from innovation policy to healthcare economics. His work combines theoretical models with register data to address questions about startup dynamics, entrepreneurial performance, and market microstructure. Key publications include studies on broadband internet's impact on stock investments, long-term effects of demand shocks on startups, and mental health implications of the pandemic. He has also explored the role of liquidity constraints on firm performance and the effects of patent reforms on university innovation. His teaching includes pioneering PhD courses in entrepreneurship and developing the ITØK program integrating computer science, business, and economics. Hans has consulted for the Norwegian government and advised firms on innovation strategies. His research has been featured in outlets like Science and the Wall Street Journal. No scientific awards explicitly mentioned in sources.

Konstanze Haubnerمشاهده پروفایل

پژوهشگر ارشد

• Climate Science
• Glaciology
• Sea Level Rise
• +۳ مورد دیگر

Konstanze Haubner is a Research Fellow affiliated with the Department of Geosciences at the University of Bergen (UiB), participating in the SEAS Programme and ClimateNarratives initiatives. Her research focuses on understanding ice sheet dynamics and their impact on sea level changes, particularly regarding the Greenland ice sheet's contributions. She has presented findings at conferences such as the 2024 PALSEA-Next Meeting and the SEAS annual meeting in 2023, emphasizing regional variations in sea level rise. Her work is supported by grants from the Research Council of Norway (Projects 324520, 324639) and the EU's Horizon 2020 program (Project 101034309). Collaborators include Natalya Gomez (McGill University), Erica Lucas (McGill University), and Charlotte Rahlves (NORCE Climate and Environment). No academic awards are explicitly listed in the provided materials. She advises no students at this time, though her research contributes to broader climate science education and outreach through UiB and affiliated programs.

Torger Kiellandمشاهده پروفایل

استاد

• Intellectual Property Law
• Patent Law
• Copyright Law
• +۷ مورد دیگر

Torger Kielland is a Professor at the Faculty of Law , University of Bergen. His work focuses on intellectual property law , particularly patent law , copyright law , open source licensing , trademark law , and design law . He contributes to the Research group for Information and Innovation Law . Affiliation: Faculty of Law, University of Bergen Email: torger.kielland@uib.no Research Interests : His research spans AI-generated content , digital rights , software protection , hyperlink legal issues , and public health patent policy . He explores intersections between technology law and innovation , with a focus on digital narratives and machine vision in legal contexts. Publications Trends : His recent works emphasize artificial intelligence , information technology patents , media reproduction of IP , and trademark disputes . He also addresses open source licensing models , employee inventions , and legal frameworks for software . Projects : Kielland collaborates with the Center for Digital Narrative and participates in the Machine Vision in Everyday Life project. His work is funded by the Research Council of Norway and the European Union .

Ivar Ståle Ertesvågمشاهده پروفایل

استاد

• Combustion Engineering
• Thermodynamics
• Exergy Analysis
• +۵ مورد دیگر

Professor Ivar Ståle Ertesvåg is a faculty member in the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU). He holds a Dr.ing. (1991) and MSc (1985) in Mechanical Engineering from the Norwegian Institute of Technology (NTH). His research focuses on turbulent combustion, exergy analysis, fire modeling, and energy utilization. He leads the FRIC Fire Research and Innovation Centre and participates in projects like OxyFUN and nCO₂PP. Teaching includes courses on thermodynamics, heat and combustion engineering, exergy analysis, and sustainable energy systems. He advises doctoral and master’s students and has authored a textbook on turbulent flow and combustion. His work spans computational fluid dynamics (CFD), turbulence modeling, and energy efficiency in industrial processes. Key contributions include exergy analysis of Norwegian societal energy use, development of the Eddy Dissipation Concept (EDC) for combustion modeling, and studies on CO₂ capture technologies. He serves on NTNU’s Central Appeals Committee and is a member of academic boards for energy and environmental engineering programs.

• Building Energy Supply
• District Heating
• Zero Emission Buildings
• +۵ مورد دیگر

Natasa Nord is a Professor at the Department of Energy and Process Engineering, Faculty of Engineering at NTNU. Her research focuses on building energy supply, district heating systems, zero-emission buildings, and energy efficiency. She leads projects such as the EU-funded ARV initiative for climate-positive communities and the CETPartnership for thermal storage integration. Nord is affiliated with NORVAC and the Norwegian District Heating Fellowship, contributing to national and international energy policy. Her work emphasizes simulation tools like EnergyPlus and TRNSYS, and she has advanced methodologies for energy performance analysis in buildings. Notable contributions include optimizing heat pumps, thermal storage systems, and low-temperature district heating frameworks. Nord's research bridges academic innovation with practical applications, addressing challenges in energy transition and smart grid integration. Education: Advanced degrees in Energy Engineering (not explicitly stated but implied by her role). Key Projects: ARV (H2020), CETPartnership, and contributions to DHC Annex TS1. Awards: None explicitly mentioned. Advising and grants involve numerous MSc theses and collaborative industry-academia projects. She is a sought-after advisor for energy policy and serves on editorial and advisory boards for journals and programs.

• Clinical Psychology
• Child & Adolescent Mental Health
• Preventive Mental Health
• +۳ مورد دیگر

Tormod Rimehaug is a Professor at NTNU’s Regional Centre for Child and Youth Mental Health and Child Welfare, specializing in clinical psychology with a focus on preventive interventions and implementation science. He holds a PhD in clinical medicine (2012) and has extensive experience in child psychiatry, clinical supervision, and academic leadership. Education: Cand. Psychol., University of Bergen (1983) Specialist in clinical child- and adolescent psychology (1995) Ph.D. in clinical medicine, NTNU (2012) Research Interests: Dr. Rimehaug’s work centers on improving mental health outcomes for children and families through evidence-based interventions. Key areas include: Preventive strategies for high-risk families Social climate in residential youth care Implementation of non-violent resistance (NVR) methods Mental health of children in foster care His research emphasizes practical applications, such as the BAPP network for families affected by parental mental illness or addiction. Teaching & Leadership: He previously led teaching initiatives in child mental health at RBUP/RKBU Midt-Norge and developed master’s programs. Current roles include part-time clinical work and academic advising. Grants & Projects: Adaptation of Caring Authority (NVR) strategies “Turning Back the Clock” NVR intervention Evaluation of “Familieambulatoriet” via natural experiments Labs/Teams: Active in the BAPP network and RKBU Midt-Norge, focusing on scalable mental health interventions for vulnerable populations.

• Cryptology
• Intrusion Detection Systems
• Wireless Communication Security

Slobodan Petrovic is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Information Security and Communication Technology (IIK), part of the Faculty of Information Technology and Electrical Engineering. His research focuses on Cryptology, Intrusion Detection Systems, and Wireless Communication Security. He teaches Cryptology and Intrusion Detection and Prevention in NTNU's Master in Information Security (MIS) and PhD programs. He is a member of the Cryptology Research Group (Norwegian Applied Crypto Lab - NaCl Lab). His research interests span cryptographic algorithm design, cybersecurity threats in autonomous systems and 5G networks, and secure communication protocols. Recent work includes frameworks for nonlinear combiners in ternary logic, dynamic LFSR analysis, and physical-layer security in MIMO OFDM systems. Publications highlight trends in cybersecurity applications of computational intelligence, intrusion detection systems, and cryptographic analysis. Notable contributions include countermeasures for unmanned vehicles and secure guidance systems. He has been actively involved in developing algorithms for efficient data analysis in digital forensics and cybersecurity analytics. His lab, the NaCl Lab at NTNU, focuses on applied cryptographic solutions. He collaborates on projects related to secure network communication, biometric security, and true random number generation.

• Cybersecurity
• Information Security Management
• Socio-Technical Systems
• +۵ مورد دیگر

Grethe Østby is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering. Her research focuses on cybersecurity, crisis management, and socio-technical frameworks addressing incident response resilience and organizational learning. She has published extensively on topics such as digital transformation in public security, EXCON-teams in cybersecurity training, and maturity modeling for cyber crisis preparedness. Her work emphasizes bridging socio-technical gaps through frameworks that integrate organizational practices with technical systems. Notable contributions include doctoral research on triple-loop learning artifacts for public emergency organizations and case studies on phishing attack mitigation in municipalities. She collaborates with institutions like NATO and contributes to cybersecurity education via courses like IIKG6503 and IMT4115. Grethe’s outreach activities include public discussions on cyber threats and incident response reporting, such as the analysis of the cyberattack on Østre Toten municipality. Her research bridges theoretical models with practical applications, addressing both technical vulnerabilities and human factors in cybersecurity. Collaborations with researchers like Stewart James Kowalski and Basel Katt highlight her interdisciplinary approach to gerontechnology service design, IoT forensics, and crisis management roles in public sectors. Her publications span academic journals, conference proceedings, and doctoral theses, reflecting a commitment to advancing cybersecurity preparedness through systemic and human-centric solutions.