جستجوی استاد راهنمای دانشگاهی

• Optimization methods
• Metaheuristics
• Heuristics
• +۱۲ مورد دیگر

Mina Mirhosseini is a Research Fellow at the Faculty of Logistics, Molde University College, Norway. She holds a PhD in Computer Science from Shahid Beheshti University of Tehran, Iran, and has prior academic experience as a faculty member and lecturer in Iran and as a remote teaching assistant at the University of Hertfordshire, UK. Her primary research interests include Optimization Methods, Metaheuristics, Heuristics, Linear Integer Programming, Parallel Processing, Machine Learning, Artificial Intelligence, and Logistics. She has made significant contributions to solving complex computational problems such as the n-similarity problem and Mixed Integer Linear Programming (MILP) models using hybrid and parallel algorithms, particularly in the context of high-level synthesis and wireless sensor networks. The analysis of her recent publications reveals a strong focus on developing and applying advanced optimization techniques, especially quantum-inspired gravitational search algorithms and parallel genetic algorithms, to real-world engineering and computational challenges. Her work consistently emphasizes performance improvement, scalability, and load balancing in distributed and heterogeneous computing environments. Mina Mirhosseini has an extensive publication record in high-impact journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Journal of Supercomputing, and Computers and Electrical Engineering. Her research has been published across a range of venues, reflecting interdisciplinary work at the intersection of computer science, electrical engineering, and applied optimization. She has actively contributed to the academic community through roles such as program committee member and executive committee member for conferences on fuzzy systems, swarm intelligence, and evolutionary computation. Her academic journey includes teaching and research roles in Iran, demonstrating a sustained commitment to higher education and scientific inquiry. Mina Mirhosseini is part of the research group focused on Planning, Optimization and Decision Support at Molde University College. Her current work continues to advance the state-of-the-art in parallel and metaheuristic optimization methods, with applications in logistics, synthesis, and sensor network design.

Lars Enok Engvikمشاهده پروفایل

دانشیار

• Quantum Mechanics
• Fluid Mechanics
• Thermodynamics
• +۳ مورد دیگر

Lars Enok Engvik is an Associate Professor at the Faculty of Logistics, Molde University College (HiMolde). His research focuses on quantum mechanics, fluid mechanics, thermodynamics, numerical simulations, and environmental modeling. He holds a PhD in Nuclear Physics from the University of Oslo (1999). Education: PhD in Nuclear Physics, University of Oslo (1999) Research Interests: His work spans fluid dynamics in geophysical contexts, including submarine landslides, debris flow mechanics, and numerical modeling of geological processes. He also investigates thermodynamic systems and pollutant dispersion modeling with applications in environmental science. Publications Overview: Recent works address fluid infiltration in magmatic veins, submarine debris flow dynamics, and hydroplaning phenomena. Earlier studies include neutron star properties and glacially influenced submarine mass-wasting processes. Labs/Teams: Affiliated with the Faculty of Logistics’ applied research teams focusing on logistics optimization and environmental modeling systems.

• Condensed Matter Physics
• Quantum Transport
• Superconductivity
• +۵ مورد دیگر

Asle Sudbø is a Professor and Center Director of the SFF QuSpin at the Norwegian University of Science and Technology (NTNU), Faculty of Natural Sciences, Department of Physics. He holds a PhD from Brown University (1990). His research focuses on quantum phenomena in condensed matter systems, including superconductivity, quantum criticality, topological materials, and strongly correlated systems. He has advised numerous PhD students and contributes to cutting-edge theoretical studies of low-dimensional systems and topological phases. His work integrates advanced computational methods and explores systems like graphene, topological insulators, and Bose-Einstein condensates. Education: PhD in Physics, Brown University, 1990 Research Interests: Condensed matter physics at quantum regime Quantum transport of spin/charge Topological superconductivity and phase transitions Unconventional superconductors (graphene, pnictides) Bose-Einstein condensates and superfluids Quantum critical phenomena and Monte-Carlo simulations Publications Trends: Recent work emphasizes topological effects in superconductors, magnon-mediated mechanisms, and quantum criticality in 2D systems. Key themes include breaking symmetry limits in superconductors and exploring topological signatures in magnetic heterostructures. Grants & Labs: Leads the QuSpin Center (SFF), focusing on quantum spin systems. Collaborates extensively on projects involving topological materials and low-temperature physics.

Tor-Morten Grønliمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Software Architecture
• Machine Learning
• +۴ مورد دیگر

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

• Artificial Intelligence
• Physics
• Computer Technology
• +۴ مورد دیگر

Pedro Lind is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, where he serves in the Department of Information Technology with a focus on Artificial Intelligence. His academic appointments include active participation in research groups for Applied Artificial Intelligence and Mathematical Modeling. Dr. Lind's research spans interdisciplinary domains including: Biomedical AI applications (EEG classification, ECG analysis, eye tracking) Stochastic processes and complex systems modeling Trustworthy machine learning for security/privacy Physics-inspired computational methods Renewable energy statistics and modeling His recent publications demonstrate strong focus on developing novel AI methodologies for medical diagnostics (2024-2025), particularly using generative models and interpretable AI approaches for physiological data analysis. He leads significant research initiatives including the AI-Mind project developing diagnostic tools for dementia. Additional projects include international technology transfer collaborations with Czech Republic institutions. Dr. Lind maintains active research teams and labs focused on computational neuroscience and applied AI.

Gunnar Felix Langeمشاهده پروفایل

پژوهشگر ارشد

• Theoretical Condensed Matter Physics
• Topological Phases in Materials
• Quantum Technology
• +۴ مورد دیگر

Gunnar Felix Lange is a Postdoctoral Fellow at the University of Oslo in the field of theoretical condensed matter physics , focusing on topological phases in materials and their applications to quantum technology. He also holds a 20% researcher position at the Norwegian Meteorological Institute , addressing air pollution and climate change challenges. Dr. Lange's research specialties include: Topological Materials (band topology, fragile topology, Weyl systems) Quantum Technology (quantum sensing, phase transitions, spintronics) Condensed Matter Physics (acoustic phonons, electronic structure, surface states) His recent publications demonstrate a focus on: Quantum geometric constraints in topologically trivial systems Topological phase transitions in 2D and 3D materials Applications of topology to phononic and electronic properties Interdisciplinary connections between quantum physics and environmental challenges Scientific recognition includes: Aker Scholarship (2018) DSTrain Fellowship (Horizon Europe, Marie Skłodowska-Curie grant agreement No. 101126636) He has taught courses at both the University of Oslo (FYS-MENA4111 - Quantum Mechanical Modelling of Nanomaterials) and the University of Cambridge (Part III: Theories of Quantum Matter, Part II: Computational Physics, Part II: Theoretical Physics II). Dr. Lange actively collaborates with institutions including the University of Cambridge , Max Planck Institute for the Physics of Complex Systems (Dresden) , and Harvard University .

Sergiy Neshveyevمشاهده پروفایل

استاد

• Operator Algebras
• Quantum Groups
• C*-algebras
• +۳ مورد دیگر

Sergiy Neshveyev is a Professor at the Mathematics Institute of the University of Oslo. His research spans operator algebras, quantum groups, noncommutative geometry, and mathematical physics, with a focus on C*-algebras, quantum symmetries, and dynamical systems. Research Trends: His recent work explores crystallization of C*-algebras, cocycle twisting in quantum groups, isotropy ideals in groupoid algebras, and non-Hausdorff etale groupoids. These studies intersect quantum group theory, noncommutative geometry, and representation theory. Grants: Currently leads the Mathematics for Quantum Computing and Many-Body Theory (QOMBINE) project. Teaching: Has taught advanced courses in C*-algebras, representation theory, manifolds, and quantum computing at the University of Oslo since 2005. Collaborations: Regularly collaborates with researchers like Marcelo Laca, Lars Tuset, and Erik Habbestad.

Olav Gaute Hellesøمشاهده پروفایل

استاد

• Photonics
• Micro- and Nanotechnology
• Integrated Optics
• +۴ مورد دیگر

Olav Gaute Hellesø is a Professor and Head of the Department of Physics and Technology at UiT The Arctic University of Norway, where he has been employed since 1998 and led the department since 2021. He is a member of the Ultrasound, Microwaves and Optics research group, focusing on integrated optics and optical trapping of micro- and nanoparticles. Education : Cand. Scient. from University of Bergen (1989), DEA and Dr. from INP de Grenoble, France (1990, 1994) His research spans photonics applications in biomedical engineering, including Raman spectroscopy for extracellular vesicle analysis, metasurface-based optical trapping, and waveguide sensor development. Recent publications highlight innovations in dielectric nanotweezers, BIC-supported trapping systems, and self-supervised learning for spectral analysis. Collaborators include Md Rabiul Hasan, Mathias Novik Jensen, and Balpreet Singh Ahluwalia, with work featured in Nature Photonics , Optics Express , and ACS Applied Optical Materials . His team explores optical manipulation of biological nanoparticles, methane detection via cryptophane-cladded interferometers, and crystalline structure quality assessment using near-infrared tomography. As department head, Hellesø coordinates research in integrated optics and photonics. His laboratory in Teknologibygget Tromsø 3.060 focuses on photonic chip technologies for particle trapping and spectroscopic analysis. Current projects include optimizing metasurface sensitivity, developing low-noise Raman systems, and advancing on-chip methane sensors.

Stella Stopkowiczمشاهده پروفایل

دانشیار

• Theoretical Chemistry
• Quantum Chemistry
• Computational Chemistry
• +۳ مورد دیگر

Stella Stopkowicz is an Associate Professor at the Department of Chemistry, University of Oslo (UiO), and a member of the Hylleraas Centre for Quantum Molecular Sciences. Her research focuses on theoretical and computational chemistry, particularly in developing advanced quantum chemical methods for studying molecular and atomic systems under extreme conditions such as strong magnetic fields. She specializes in coupled-cluster theory, Cholesky decomposition techniques, and relativistic quantum chemistry. Her work addresses challenges in calculating magnetic properties, such as magnetizability and optical rotation, using gauge-including atomic orbitals and finite-field approaches. Stopkowicz’s contributions span applications in astrophysics, materials science, and catalytic reaction mechanisms, emphasizing the interplay between computational efficiency and accuracy in large-scale simulations. Key areas of research include the development of relativistic two-component coupled-cluster methods, screening techniques for integrals in quantum chemistry calculations, and the study of paramagnetic materials like scandium and yttrium hydrides. She collaborates extensively with international researchers, advancing both the theoretical foundations and practical implementations of quantum chemistry tools. Her publications highlight advancements in computational methodologies for analyzing magnetic field effects in diverse systems, from white dwarf stars to molecular reactions. Stopkowicz’s interdisciplinary approach bridges theoretical chemistry with applications in physics and materials science, contributing to cutting-edge research in quantum molecular sciences.

• Cryptography
• Blockchain Technology
• Network Security
• +۷ مورد دیگر

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.

• Cosmology
• Gravitational Lensing
• Anisotropic Cosmological Models
• +۴ مورد دیگر

Ben David Normann is an Associate Professor at the Department of ICT and Science, Norwegian University of Science and Technology (NTNU). He holds a Master's in Theoretical Physics from NTNU and a Doctorate in Mathematical Physics from the University of Stavanger (UiS). His research focuses on gravitational lensing, anisotropic cosmological models (Bianchi models), and dynamical systems. He actively engages in science communication through platforms like YouTube and radio, emphasizing public discourse on scientific topics. Key research interests include cosmology, mathematical physics, and astrophysics, with notable contributions to gravitational lensing simulations and bulk viscosity models in cosmology. He has published extensively in journals like Classical and Quantum Gravity and General Relativity and Gravitation. His work also explores interdisciplinary topics such as the intersection of science and theology, and the societal implications of scientific research. Normann teaches physics and mathematics courses at NTNU and participates in outreach activities, including lectures at schools and conferences. Recent engagements include the 2024 KLC Annual Conference in Cambridge and a TED Talk on 'What is Reality?'.

• Molecular Modeling
• Quantum Chemistry
• Statistical Thermodynamics
• +۵ مورد دیگر

Per-Olof Åstrand is a Professor in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), specializing in theoretical and computational chemistry. His research focuses on molecular modeling, quantum chemistry, and statistical thermodynamics with applications in dielectric materials and electrical engineering. Based at Realfagbygget, D3-119, Gløshaugen, he maintains active research collaborations with SINTEF Energy and Imperial College London. Åstrand's research interests center on theoretical models for molecular properties, intermolecular interactions, and molecular models of condensed matter. His work spans multiple domains including electrically insulating materials, non-linear optics, electrical conductivity, carbon dioxide chemistry, and lattice models in statistical thermodynamics. He develops both quantum mechanical and classical models to understand molecular behavior under various conditions, particularly focusing on electric field effects and molecular polarization phenomena. His recent publications reveal a strong emphasis on dielectric liquids, streamer propagation in electrical insulation, molecular ionization energy in external electric fields, and computational modeling of catalytic systems. The research combines theoretical development with practical applications in electrical engineering and materials science, showing consistent productivity with publications spanning from fundamental quantum chemistry to applied engineering problems. Åstrand actively contributes to education through teaching courses including TKJ4215 Statistical Thermodynamics in Chemistry and Biology (B.Sc. level), TKJ4205/KJ8902 Molecular Modeling (M.Sc./Ph.D. level), and KJ8205 Advanced Molecular Modeling (Ph.D. level). He has authored the textbook 'Atomistic Modeling: Concepts in Computational Chemistry' (Bookboon.com, 2016), which is available as a free PDF download. His research group offers numerous project opportunities for undergraduate and graduate students across various computational chemistry topics.

• Applied Mathematics
• Numerical Analysis
• Parallel Computing
• +۷ مورد دیگر

André Brodtkorb is a Professor and Head of the Department of Information Technology at Oslo Metropolitan University. His research spans applied mathematics, numerical analysis, and computational science, focusing on physics simulations and GPU computing. He advocates for open and reproducible research and is actively involved in education and societal engagement through the Academy of Young Researchers (2024-2028). Research Interests: His work integrates applied mathematics and computer science to develop high-performance simulations for environmental phenomena, including ocean currents, volcanic ash dispersion, and coastal flooding. He specializes in GPU-accelerated parallel computing, finite-volume methods, and Python-based scientific programming. Publication Trends: Recent articles highlight advancements in GPU computing efficiency, ocean modeling, and inverse ash transport modeling for volcanic plume forecasting. His research bridges computational methods with real-world environmental challenges. Scientific Awards: Member of the Academy of Young Researchers (2024-2028) Contact Information: Office: Pilestredet 35, 0166 Oslo Phone: +47 456 19 070 (Mobile), +47 672 35 924 (Office) Email: andre.brodtkorb@oslomet.no

• Surface Physics
• Light Scattering
• Rough Surface Characterization
• +۴ مورد دیگر

Ingve Simonsen is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU), specializing in surface physics and light scattering phenomena. His research focuses on the theoretical and experimental characterization of randomly rough surfaces, electromagnetic wave interactions, and nanoscale optical phenomena. Affiliated with NTNU's Faculty of Natural Sciences, he maintains an active research program with extensive collaborations across international institutions. His research interests center on surface physics and light scattering , particularly the inversion of scattering data for surface characterization, plasmonics in nanostructures, and statistical properties of rough surfaces. His work bridges theoretical modeling with experimental validation, applying techniques like Mueller matrix ellipsometry and reduced Rayleigh equations to solve complex problems in optical metrology and nanomaterial characterization. Analysis of his recent publications reveals strong emphasis on multi-scale surface topography , polarized light interactions with disordered systems, and nanophotonic applications . His research demonstrates consistent innovation in developing computational frameworks for surface characterization and exploring novel optical phenomena in two-dimensional materials. Professor Simonsen actively mentors students and researchers, evidenced by frequent co-authorship with junior researchers on complex projects. His collaborative approach spans disciplines including condensed matter physics, materials science, and biomedical optics, as seen in his work on graphene-based virus detection sensors.

Audun Jøsangمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Trust and Reputation Systems
• +۴ مورد دیگر

Audun Jøsang is a Professor of Cybersecurity at the University of Oslo and holds a Visiting Professor position at Queensland University of Technology (QUT) . His work focuses on trust and reputation systems in digital environments, with notable contributions to subjective logic —a mathematical framework for reasoning under uncertainty. Education : MSc in Information Security from Royal Holloway, University of London , MSc and PhD in Telecommunications from Norwegian University of Science and Technology (NTNU) Books : Subjective Logic: A Formalism for Reasoning Under Uncertainty (2016), Cybersecurity: Technology and Governance (2011) His research spans cybersecurity , artificial intelligence , and risk assessment , with applications in online marketplaces , social media , and decision-making under uncertainty . He has developed mathematical models for uncertainty-aware influence propagation and competitive information spread using subjective logic. Audun Jøsang’s work bridges theoretical foundations and industrial applications of computational trust and security analytics . His recent publications explore ethical AI , fair federated learning , and dynamic intelligence assessment for artificial general intelligence development.