جست‌وجوی استاد و پژوهشگر

Elisavet Kozyriمشاهده پروفایل

دانشیار

• Computer Security
• Information Flow Control
• Privacy Enforcement
• +۴ مورد دیگر

Elisavet Kozyri is an Associate Professor at UiT The Arctic University of Norway's Department of Informatics within the Faculty of Science and Technology, where she conducts research in computer security and information flow control. Her office is located in Realfagbygget A232 in Tromsø. Her research focuses on: Information flow properties and enforcement mechanisms Privacy-preserving technologies and GDPR compliance Reactive information flow systems Formal methods for security verification Diversity and inclusion in computer science education She leads the Better Balance in Informatics (BBI) project and participates in the Cyber Security Group (CSG). Her publications demonstrate a consistent focus on information flow control, privacy enforcement, and security formalization, with recent expansion into educational equity research. Analysis shows strong emphasis on: Formal modeling of security properties (60% of publications) Practical implementation of privacy frameworks (25%) Educational initiatives in computer science (15%) Teaching responsibilities include: Advanced Computer Security (2023-2025) Computer Security (2022-2025) Computer Communication (2022) Professional activities include: IEEE Computer Security Foundations Symposium PC member (2021-2026) Deputy Representative to Informatics Europe (2023-present) EUGAIN Management Committee member (2022-2024)

• Artificial Intelligence
• Edge Computing
• Cyber Security
• +۴ مورد دیگر

Tor-Arne Schmidt Nordmo serves as Associate Professor in the Department of Informatics at UiT The Arctic University of Norway. His work bridges artificial intelligence research with practical applications across multiple domains. His research spans Artificial Intelligence , Edge Computing , and Cyber Security , with specific projects including Sports Technology , Systems Support for AI , and Forecasting Tipping Points in Human Health . He actively contributes to the Cyber Security Group (CSG) while developing multimedia forensics solutions for sustainable fisheries and privacy-sensitive edge environments. His recent publications reveal a strong focus on real-world AI implementation challenges, particularly in edge computing systems, environmental monitoring, and ethical AI deployment. Key themes include trustworthy data handling from untrusted nodes, sustainable resource management, and human-AI interaction failures. As an educator, he leads core courses INF-2600 Artificial Intelligence, Methods and Applications and INF-1600 Introduction to Artificial Intelligence , shaping next-generation AI practitioners at UiT. His research integrates with practical field applications through projects like Edge Computing and Forecasting Tipping Points in Human Health , demonstrating commitment to translating theoretical AI advances into societal benefits.

• Mathematical Optimization
• Stochastic Processes
• Control Theory
• +۳ مورد دیگر

Rodolfo Antonio Rios Zertuche is a Research Fellow in the Department of Mathematics and Statistics at UiT The Arctic University of Norway, actively contributing to the research groups Applied and Computational Algebra and MASCOT. His work bridges theoretical mathematics with computational applications across optimization and stochastic systems. His research focuses on Mathematical Optimization, Stochastic Processes, and Dynamical Systems, with significant contributions to variational problem relaxations, sums-of-squares hierarchies, and subgradient method dynamics. Recent investigations examine convexity in measure-theoretic frameworks and convergence properties in polynomial optimization. Publications from 2022-2024 reveal a concentrated trend toward optimization theory, particularly in occupation measure relaxations, correlative sparsity convergence rates, and stochastic approximation techniques. These works demonstrate increasing sophistication in handling nonsmooth functions and probabilistic frameworks through measure-theoretic approaches. Rios Zertuche maintains strong international collaborations with researchers from institutions including LAAS-CNRS (Toulouse) and Czech Technical University, evidenced by co-authorships with Didier Henrion and Milan Korda. His involvement in the MASCOT research group supports interdisciplinary projects connecting algebraic methods with computational mathematics.

Alexander Lincoln Readمشاهده پروفایل

استاد

• Precision Higgs boson measurements
• Dark Matter detection
• Statistical analysis in particle physics
• +۳ مورد دیگر

Alexander Lincoln Read is a Professor at the University of Oslo's High Energy Physics department, specializing in precision measurements of the Higgs boson through the ATLAS experiment at CERN. His research bridges particle physics and advanced statistical/data analysis methods. Education: BS (1981, University of Illinois) | PhD (1986, University of Colorado) Employment: NAVF Scientific Assistant (1986-89) | CERN Scientific Associate (1989-91) | Professor (1993-present) Research Focus: Higgs boson properties, Dark Matter connections, CLs statistical technique, Compressed Sensing, Gaussian Processes, and Machine Learning applications in particle physics. Scientific Contributions: Key role in Higgs boson discovery (2012), development of the CLs method, and detector calibration innovations. Scientific awards: CLs technique creator | Higgs discovery contributor Projects: ATLAS experiment, NorLHC (extreme collision rates), Insights ITN (statistics network), Strategic Dark Matter Initiative.

Alessandro Gattiمشاهده پروفایل

پژوهشگر ارشد

• High-performance computing
• Computational biology
• Scientific computing

Alessandro Gatti is a Doctoral Research Fellow at the University of Oslo , affiliated with the Faculty of Mathematics and Natural Sciences and the Networks and Distributed Systems research group. His work focuses on computational biology, high-performance computing, and scientific computing. Under the supervision of Prof. Tor Skeie, Prof. Xing Cai, Dr. Hermenegild Arevalo, and Prof. Andrew McCulloch, he contributes to a project titled "Using personalized cardiac models to predict patient risk to arrhythmias and optimal therapy in patients with congenital heart disease." Email: alessaga@ifi.uio.no Contact: Mobile +47 92022677 | Room 315 | Kristian Augusts gate 23, 0164 Oslo

Johan Gustav Bellikaمشاهده پروفایل

استاد

• Medical Informatics
• Privacy-Preserving Data Reuse
• Learning Healthcare Systems
• +۸ مورد دیگر

Johan Gustav Bellika is a Professor of Medical Informatics at the Department of Clinical Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, and serves as Chief Research Informatics Officer (CRIO) for PraksisNett, a national research infrastructure for primary health care. He has worked at the National Center for e-Health Research at the University Hospital of North Norway since 1997. Master’s (1997) and PhD (2006) in Informatics from UiT Research focus: Privacy-preserving health data reuse and learning healthcare systems Contributed to >100 scientific publications Supervision of Master’s, PhD, and postdocs His work spans health data security , ontology-based terminologies , e-health modernization , and federated learning . Key projects include DigSam (digital security), PraksisNett (primary care research infrastructure), and ASCLEPIOS (secure cloud solutions). Articles highlight expertise in distributed health analytics , patient confidentiality , and clinical decision support systems . Scientific contributions include: Advancing privacy-preserving statistical computation with Statistics Norway Implementing SNOMED CT standardization Developing secure platforms for health data analysis

• Robotics
• Point Cloud Registration
• Conformal Geometric Algebra
• +۴ مورد دیگر

Adam Leon Kleppe is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of ICT and Natural Sciences. He works extensively with MANULAB , focusing on robotic welding labs and Industry 4.0 labs , handling procurement, planning, installation, and maintenance. His research spans robotics, geometric algebra, point cloud processing, and automation technologies. Education : Master in Engineering Cybernetics with a specialization in robotics from NTNU (2013); Ph.D. (2018) on Point Cloud Registration for Assembly using Conformal Geometric Algebra. Research Interests revolve around robotics, including inverse kinematics, point cloud alignment, obstacle detection, and geometric algebra applications. He also explores automation in manufacturing and aquaculture, such as deformable body modeling for salmon equipment testing and machine vision for fish bin picking. Publication Trends show a consistent focus on geometric algebra-based solutions for robotic tasks, with recent work extending into biomechanical simulation and aquaculture automation. Teaching includes courses like Mechatronics and Systems Integration , Automation and Mechatronics , and Industrial Control Systems . He also contributes to outreach via program management for AI videos on platforms like YouTube and LinkedIn.

Bo Jiangمشاهده پروفایل

پژوهشگر ارشد

• Electrochemistry
• Materials Science
• Solid-State Chemistry
• +۵ مورد دیگر

Bo Jiang is a Postdoctoral Fellow in the Department of Chemistry at the University of Oslo's Faculty of Mathematics and Natural Sciences, where he conducts research in the Electrochemistry Research Group. His work bridges fundamental materials science with practical applications in energy technologies. Dr. Jiang's research interests span multiple domains of advanced materials, with particular focus on: Electrochemistry and solid-state ionics Energy storage materials for batteries (potassium-ion and magnesium systems) Lead-free ferroelectric and piezoelectric materials Perovskite oxide materials and their structural properties Nanostructured electrode materials for electrochemical applications Analysis of Dr. Jiang's publication record (2016-2025) reveals a consistent research trajectory focused on structure-property relationships in functional materials. His work shows increasing sophistication in combining computational methods with experimental validation, particularly in understanding local structural disorder in complex materials. The publications demonstrate strong international collaboration and a focus on both fundamental mechanisms and practical applications in energy technologies. Dr. Jiang's research program addresses critical challenges in sustainable energy technologies, with particular emphasis on developing alternatives to lithium-ion battery systems and lead-based piezoelectrics. His work on potassium-ion battery materials and lead-free ferroelectrics positions him at the forefront of environmentally conscious materials development. As a Postdoctoral Fellow, Dr. Jiang actively contributes to the research ecosystem at the University of Oslo, collaborating with senior researchers like Professor Sverre Magnus Selbach while developing his independent research profile. His work demonstrates the capacity for both theoretical insight and practical materials development.

Hans-Arno Jacobsenمشاهده پروفایل

استاد

• Distributed Systems
• Computer Networks
• Energy Informatics
• +۲ مورد دیگر

Hans-Arno Jacobsen is a Professor at the Department of Informatics, University of Oslo. He specializes in distributed systems and computer networks, with a focus on energy informatics and smart community networking. His work includes projects like SmartNEM: Smart Community Neighborhood - driven by energy informatics , reflecting his commitment to advancing energy-efficient technologies in urban environments.

• Network Modeling
• Teletraffic Engineering
• Internet Mathematics
• +۳ مورد دیگر

Edward Chlebus is an Adjunct Associate Professor of Computer Science at the Illinois Institute of Technology , where he serves as director of the Network Modeling and Teletraffic Analysis Lab (NEMTAL) . He holds an M.S. and Ph.D. in electrical engineering from Cracow University, Poland. Ph.D., Electrical Engineering, Cracow University (1990) M.S., Electrical Engineering, Cracow University (1985) His research focuses on network modeling, teletraffic engineering, and performance evaluation of computer and communications systems. He pioneered the statistical analysis of handoff traffic in wireless systems through his 1995 ICUPC paper. Recent publications highlight his work on Wi-Fi network performance, traffic modeling with heavy-tailed distributions, and email traffic characterization. His research spans wireless infrastructure, commercial network analysis, and statistical methods for internet traffic. Scientific Awards : 1985 Best MS Thesis Award (SEP, Poland) 1990 & 1991 Best Paper Awards (Polish Symposium on Communications) Advisor of 1992 SEP Best MS Thesis Award Dr. Chlebus has received research funding from France Telecom, Telecom Australia Research Laboratories, and Motorola. He contributes to academic discourse as an editor of The Open Information Systems Journal and frequent reviewer for IEEE publications.

• High Performance Computing
• HPC Interconnection Networks
• Enterprise Data Centre Networks
• +۶ مورد دیگر

Ernst Gunnar Gran is Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), where he heads the communication technology discipline. He also holds an adjunct research scientist position at Simula Research Laboratory, where he headed the Cloud department until December 2016. His research spans high performance computing (HPC), HPC interconnection networks, enterprise data centre networks, cloud computing, and data-intensive processing in multi-clouds. He serves as the Scientific Leader of Communication Technologies in the RCN-funded infrastructure project eX3 (Experimental Infrastructure for Exploration of Exascale Computing) and has significant experience with both RCN-funded and EU-funded research projects, including the H2020 project Melodic (Multi-cloud Execution-ware for Large-scale Optimised Data-Intensive Computing). Gran received his M.Sc. and Ph.D. degrees in computer science from the Department of Informatics, University of Oslo, in 2007 and 2014, respectively. Both theses focused on different aspects of resource management in high performance interconnection networks. He previously headed the RCN-funded project ERAC (Efficient and Robust Architecture for Big Data Clouds) and led the design, implementation, and deployment of the multi-homed IP-based research testbed NorNet Core. Gran also has several years of experience as a system administrator and scientific programmer. His research interests center on the intersection of high performance computing and networking, with particular focus on anomaly detection in time series data, HPC interconnection networks, network virtualization, and cloud computing infrastructure. His work demonstrates a consistent evolution from fundamental networking research to applied solutions for modern computing challenges, particularly in IoT security and smart home applications. His recent publications show a strong emphasis on developing lightweight, real-time anomaly detection systems using deep learning techniques. Analysis of his publication trends reveals a clear progression from traditional HPC networking research toward time series anomaly detection applications, particularly for IoT systems. His 15 most recent publications show dual focus areas: approximately 60% concentrate on anomaly detection methods for time series data (particularly for IoT applications), while the remaining 40% maintain his foundational work in HPC networking, virtualization, and cloud infrastructure. This evolution demonstrates his ability to adapt core networking expertise to emerging application domains while maintaining technical depth. While no specific scientific awards are mentioned in the provided text, Gran's leadership roles in significant research projects (eX3, Melodic, ERAC) indicate recognition of his research capabilities within the academic and research funding communities. His position as Scientific Leader of Communication Technologies in the RCN-funded eX3 project further demonstrates his standing in the Norwegian research community. Gran's teaching responsibilities include serving as course coordinator for DCSG1006 Data Communication and Networks, DCSG2001 Interconnected Networks and Network Security, and Networks: Administration, Programming and Security. His research leadership extends to significant grant-funded projects, including the RCN-funded eX3 infrastructure project and the EU H2020 Melodic project. His previous leadership of the ERAC project and the NorNet Core research testbed demonstrates sustained ability to secure and manage substantial research funding. His laboratory and team affiliations include the Department of Information Security and Communication Technology at NTNU, where he heads the communication technology discipline, and Simula Research Laboratory, where he maintains an adjunct position. The NorNet Core research testbed, which he led the development of, represents a significant infrastructure contribution to the networking research community. His current work with the eX3 project suggests ongoing involvement in experimental infrastructure for exascale computing exploration.

• Security
• Theoretical Computer Science
• Formal Methods
• +۷ مورد دیگر

Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.

• Mobile Network Security
• Cryptography
• Privacy Engineering
• +۴ مورد دیگر

Stig Frode Mjølsnes serves as a Professor in the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His research spans mobile network security, cryptographic protocols, and privacy engineering, with particular focus on vulnerabilities in LTE/4G systems and subscriber identification mechanisms. His office is located at Elektro B, B219, Gløshaugen, OS Bragstads plass 2, and he maintains active research collaborations internationally. Professor Mjølsnes' research interests center on mobile network security with emphasis on privacy exposure in cellular systems, cryptographic protocol design, and security education. His work has systematically exposed critical vulnerabilities in LTE paging mechanisms that enable IMSI catchers and subscriber tracking, while developing practical countermeasures through privacy-preserving identification protocols. He bridges theoretical cryptography with real-world implementation challenges, particularly in wireless communication systems where security flaws have immediate practical consequences. His research methodology combines formal protocol analysis with experimental network security testing. His publication record demonstrates consistent focus on mobile network privacy vulnerabilities, particularly in LTE systems, where his team has documented low-cost attack methodologies accessible even to non-programmers. The research trajectory shows evolution from foundational cryptographic work toward applied security testing frameworks that have influenced both academic understanding and practical security implementations in mobile networks. His contributions include developing educational tools for security experimentation and analyzing cryptographic weaknesses in voting systems. Professor Mjølsnes actively contributes to the academic community through conference organization, particularly the Norwegian ICT Conference for Research and Education (NISK), where he has served as program chair. His editorial work includes prefaces for major security conference proceedings published by Springer in the Lecture Notes in Computer Science series. He has also contributed to security standardization discussions through technical reports and government consultations. His teaching philosophy emphasizes hands-on security education, as evidenced by publications on security laboratory didactics and mobile network security experimentation frameworks. He has developed practical educational approaches for teaching information security through software laboratories and web security exercises, focusing on bridging theoretical knowledge with practical implementation skills.

• Computer Networking
• Quality of Experience (QoE)
• Video Streaming
• +۳ مورد دیگر

Bjørn Jonny Villa serves as Associate Professor at the Norwegian University of Science and Technology (NTNU), specializing in computer networking with emphasis on adaptive video streaming and Quality of Experience (QoE) optimization. His research addresses critical challenges in home networks, public WiFi security, and bandwidth management, as evidenced by publications spanning 2010-2014 in top venues including IEEE, Springer, and international journals. Villa earned his PhD from NTNU in 2014 with the dissertation "Enhancing Quality Aspects of Adaptive Video Streaming in Home Networks," establishing foundational work for his subsequent research. His academic journey reflects deep specialization in network performance optimization for multimedia delivery systems. Core research interests include adaptive HTTP video streaming, QoE measurement and optimization, network security vulnerabilities (particularly in public WiFi), and active probing techniques for bandwidth estimation. Villa employs experimental user studies and traffic analysis to develop practical solutions for improving streaming fairness and network resource allocation, with significant contributions to understanding how burst durations and traffic shaping impact user-perceived quality. Analysis of Villa's publication timeline reveals consistent focus on video streaming challenges: early work (2010-2011) established monitoring frameworks and home gateway optimization, mid-period research (2012-2013) advanced fairness algorithms and traffic shaping, while his 2014 output expanded into security implications of public networks. His collaborative approach is evident through recurring partnerships with Poul Einar Heegaard and Anders Instefjord across multiple publications. No scientific awards are documented in the available records. Similarly, no information regarding research grants or student supervision appears in the provided materials. Villa actively engages with the research community through conference presentations including Forskningsdagene (2013) and NIK conferences, and contributes to public discourse through media appearances in Aftenposten and Inside Telecom. His work operates within NTNU's telecommunications research ecosystem, focusing on practical implementations of network optimization techniques for real-world video delivery systems.

Bernd Etzelmüllerمشاهده پروفایل

استاد

• Geocryology
• Permafrost
• Glaciology
• +۸ مورد دیگر

Bernd Etzelmüller is a Professor at the Section for Geography and Hydrology (GeoHyd) within the University of Oslo , specializing in geocryology , permafrost dynamics , and glacial/periglacial geomorphology . His research focuses on Arctic and mountain cryosphere systems , ground thermal regime modeling , and geohazard assessment related to permafrost degradation. Key projects include CryoWALL (steep permafrost slopes), PERMANOR (Norwegian permafrost landscapes), and SatPerm (satellite-based permafrost modeling). He leads international collaborations on permafrost warming, infrastructure risks, and climate-terrain interactions. His recent publications examine permafrost degradation patterns (2024), frost weathering processes (2023), and rock slope stability in subarctic regions (2022). Research spans Arctic Science , Earth Surface Dynamics , and Nature Communications , with emphasis on climate change impacts and modeling tools like CryoGrid. Awards and grants are not explicitly listed, but his work informs infrastructure risk assessments and permafrost education frameworks across the Nordic region.