جستجوی استاد راهنمای دانشگاهی

• Theoretical Chemistry
• Quantum Chemistry
• Relativistic Effects
• +۷ مورد دیگر

Professor Kenneth Ruud is a leading expert in theoretical and computational chemistry at UiT The Arctic University of Norway. He serves as Director General of the Norwegian Defence Research Establishment and leads the Hylleraas Centre for Quantum Molecular Sciences. His research focuses on relativistic quantum chemistry, developing advanced ab initio methods for molecular property calculations, and integrating QM/MM and continuum solvent models. Education: PhD from University of Oslo (1998, supervised by Trygve Helgaker) Postdoc: University of San Diego with Peter Taylor (1998-2000) His work spans relativistic effects in molecular properties, vibronic coupling, and X-ray spectroscopy. He contributes to software development through programs like Dalton, Dirac, ReSpect, and OpenRSP. Recent publications highlight applications in spin-vibronic dynamics, heavy metal L/M-edge XAS, and topological materials. Key scientific contributions include relativistic DFT for nuclear spin-rotation constants, polarizable embedding models for vibrational spectra, and quantum dynamics frameworks. Awards recognize his impact through the Dirac Medal (2008) and multiple academy memberships. Elected to Norwegian Academy of Science and Letters Fellow of American Association for the Advancement of Science (AAAS) Foreign member of Finnish Academy of Science and Letters He actively participates in open science initiatives and serves on boards including Norges Forskningsråd and CAROS center for subsea robotics. Current projects involve quantum molecular science in extreme environments and computational protocol development.

Trym Vegard Haavardsholmمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Robotics
• +۳ مورد دیگر

Trym Vegard Haavardsholm is a 20% part-time Lecturer at the University of Oslo (UiO) within the Section for Autonomous Systems and Sensor Technologies. He also serves as Principal Scientist at the Norwegian Defence Research Establishment (FFI) and is a PhD candidate at the Department of Engineering Cybernetics, NTNU. His research focuses on computer vision, machine learning, robotics, and image analysis, with a particular emphasis on multispectral imaging systems and unmanned aerial vehicles (UAVs). Haavardsholm has contributed to advancements in sensor technologies for tactical reconnaissance, autonomous navigation, and real-time data processing. His work spans applications in defense, environmental monitoring, and emergency response systems. Research Interests Haavardsholm’s research integrates interdisciplinary approaches to develop innovative sensor systems and algorithms. Key areas include compact multispectral imaging for small UAVs, in-operation camera calibration, and anomaly detection in hyperspectral data. His contributions emphasize practical applications such as urban feature classification, collaborative indoor navigation, and bioaerosol detection. His work bridges theoretical computer science with applied engineering, addressing challenges in autonomous systems and sensor fusion. Publications His publications highlight trends in multispectral sensor design, UAV imaging, and real-time georeferencing. Recent work includes compact sensor systems for tactical use and advancements in pushbroom image rectification. Earlier research explored band selection algorithms for target detection and GPU-accelerated anomaly detection. Professional Roles As a lecturer, Haavardsholm contributes to academic supervision and teaching in autonomous systems. His dual role at FFI and UiO reflects his commitment to translating academic research into practical defense and civilian applications. His PhD candidacy at NTNU underscores his ongoing academic engagement in engineering cybernetics.

Erik Waalerمشاهده پروفایل

استاد

• Biblical Studies
• New Testament
• Religion
• +۷ مورد دیگر

Erik Waaler is a Professor of Theology, Religion and Philosophy at NLA University College in Sandviken, Bergen, Norway. He holds a prominent position in biblical studies with a particular focus on the New Testament, intertextuality, and the intersection of biblical scholarship with archaeology and historical context. His educational background includes: 1984: Cand. Theol. from Det teologiske Menighetsfakultet (MF) 1997: Master in Missiology from Fuller Theological Seminary - School of World Mission 2005: Dr. Theol. in New Testament from Det teologiske Menighetsfakultet (MF) Professor Waaler's primary research interests center on New Testament studies, particularly intertextuality and re-contextualization in First Corinthians and the Gospel of Matthew. His work bridges biblical scholarship with archaeological evidence, especially regarding Hebrew inscriptions from sites like Ketef Hinnom and Khirbet Qeiyafa. He has made significant contributions to understanding Pauline theology, particularly how Paul reinterprets Old Testament texts in his writings. His secondary expertise lies in applied Jewish studies, history, archaeology, and paleography related to the Levant. This interdisciplinary approach allows him to examine biblical texts within their historical and cultural contexts, providing fresh insights into early Christian interpretation of Jewish scripture. Waaler's scholarly output demonstrates a consistent focus on how New Testament authors, particularly Paul, engage with and reinterpret earlier biblical texts. His work spans from detailed analysis of specific passages like the Shema in Deuteronomy 6:4 as reinterpreted in 1 Corinthians, to broader studies of intertextual methods. More recently, he has collaborated on technical archaeological projects using spectral imaging to analyze ancient inscriptions, showing his willingness to engage with cutting-edge methodologies to illuminate ancient texts. His research bridges the gap between traditional biblical scholarship and archaeological evidence, creating a more robust historical understanding of early Christian interpretation. Professor Waaler has been actively involved in projects examining Matthew's use of the Old Testament, Jewish use of the Old Testament with focus on Qumran and Josephus, inscriptions from Khirbet Qeiyafa, and Pauline Theology. His work demonstrates a sustained commitment to understanding the historical and textual foundations of early Christianity through meticulous analysis of both textual and archaeological evidence.

Karmenlara Ely Seidmanمشاهده پروفایل

استاد

• Performance and Artistic Research
• Ethics and Theater
• Relational Aesthetics
• +۷ مورد دیگر

Karmenlara Ely Seidman is a Professor and Artistic Director in Acting and Performance at the Norwegian Theatre Academy (NTA), Østfold University College, and a part-time Professor II at the School of Music, UiT The Arctic University of Norway. She holds a Ph.D. in Philosophy (2008) and an M.A. in Performance Studies (2001) from NYU's Tisch School of the Arts. Her research explores interdisciplinary intersections of performance, ethics, and cultural memory, with foci including: Relational aesthetics and embodiment in performance Intergenerational art practices and indigenous/diaspora knowledge systems Transatlantic archives and decolonial methodologies Experimental pedagogy and institutional reimagining Street performance and ritual/game structures Her publications emphasize performative archives, actor training, and ethical frameworks, frequently engaging with themes of cultural memory, embodiment, and institutional critique. Recent works demonstrate a strong focus on decolonial praxis and interdisciplinary collaboration. She leads major funded projects including: Sea Matters (2023–2026): Performance research pedagogy laboratory Spectral Collaborations (2019–2022): Performative entanglement in Nordic Transatlantic Slavery archives Infinite Record (2013–2017): Archive memory and performance She mentors PhD students internationally, serves on evaluation committees across Nordic institutions, and has developed innovative study programs bridging artistic practice and scholarly research.

• Multi-Phase Flow
• Turbulence
• Lagrangian Dynamics
• +۳ مورد دیگر

Rohith Jayaram is a Postdoctoral Fellow in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU), specializing in multi-phase flows and turbulence dynamics. His research focuses on particle-laden flows, bubble-turbulence interactions, and computational fluid dynamics. Education: PhD in Particle suspensions from NTNU MSc in Aerospace Mechanics from ISAE-SUPAERO, France BEng in Mechanical Engineering from BMS College of Engineering, India His work investigates Lagrangian dynamics of solid particles and spheroids in evolving Taylor-Green vortex flows, with recent emphasis on bubble-turbulence interactions. He develops numerical algorithms for flow simulations and contributes to turbulence modeling in both 2D and 3D systems. Research trends include computational modeling of multi-phase flows, DNS validation of particle behavior in unsteady vortices, and extension to spheroid alignment dynamics. Publications span leading journals like Physics of Fluids and Physical Review E . Scientific Awards: Selected as Featured Article in Physics of Fluids (2020) Outreach activities include conference lectures at the European Fluid Dynamics Conference (2024) and European Turbulence Conference (2019). Contact: 238 Kjemiblokk 5 Gløshaugen, Trondheim; rohith.jayaram@ntnu.no

Rune Strandbergمشاهده پروفایل

دانشیار

• Solar Cell Physics
• Photovoltaic Materials
• Energy Conversion
• +۳ مورد دیگر

Rune Strandberg is an Associate Professor at the Department of Engineering Sciences, University of Agder. He holds a PhD in solar cell physics from NTNU and specializes in photovoltaic materials, solar cell physics, and energy conversion. His research focuses on advanced solar cell concepts including tandem cells, intermediate band solar cells, and thermoradiative energy harvesters. Education: Master of Technology (2005) and PhD (2010) in solar cell physics from NTNU. Pedagogical training includes Uniped courses (2014-2015) and PhD supervision qualification. Current teaching: Renewable Energy, Solar Energy Systems, Electromagnetism, Advanced Photovoltaics Prior roles: PhD student at NTNU (2005-2009), Senior Researcher at Teknova AS (2010-2013) Research areas: New photovoltaic concepts, characterization of photovoltaic cells, solar cell physics, emissive energy harvesters His recent publications analyze band gap optimization, radiative coupling in multi-junction cells, temperature sensitivity, and theoretical efficiency limits across multiple high-impact journals. Collaborators include Anne Gerd Imenes, Alfredo Sanchez Garcia, and Sissel Tind Kristensen. Key contributions include development of analytical models for solar cell performance, field testing of PV modules in Norway, and studies on temperature effects in multicrystalline silicon wafers.

• Scientific Computing
• Numerical Analysis
• Applied Mathematics
• +۵ مورد دیگر

Eirik Valseth is an Associate Professor of Scientific Computing at the Norwegian University of Life Sciences (NMBU), Department of Data Science. He holds concurrent roles as a research associate at the Oden Institute, University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory (Department of Numerical Analysis and Scientific Computing). His expertise lies in advanced finite element methods for PDEs with applications in flood modeling and hydropower systems. Current Affiliation: NMBU (Norwegian University of Life Sciences) Secondary Affiliations: Oden Institute (UT Austin), Simula Research Laboratory Research interests span numerical methods for challenging PDE systems, including: Stabilized finite element formulations Hurricane storm surge and riverine flood modeling Hydropower infrastructure analysis Computational mechanics and applied mathematics His recent publications (2024–2025) emphasize flood risk assessment (compound flooding, dam breaks, dredging impacts), advanced numerical methods (isogeometric analysis, stochastic finite elements, graph-grammar algorithms), and environmental applications (pollution transport, pathogen distribution, mosquito population dynamics after hurricanes). Key trends include cross-disciplinary integration of physics-aware machine learning and robust hydrodynamic simulation tools. Valseth's work extends to software development (e.g., WAVEx for spectral wave models, SWEMniCS for coastal circulation) and large-scale modeling frameworks like the ADCIRC unstructured mesh model for US coasts. Collaborative projects involve institutions such as University of Texas at Austin, Simula, and NOAA.

• Analysis
• Analytic Number Theory
• Functional Analysis
• +۳ مورد دیگر

Kristian Seip is a Professor at the Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU), since 1993. He has held leadership roles, including Department Chair (1997–2001) and Vice Dean for Education at the Faculty of Information Technology, Mathematics and Electrical Engineering (2006–2012). He holds an MSc and PhD from NTNU. His research focuses on analysis and analytic number theory, with notable contributions to Dirichlet series, Hardy spaces, and operator theory. Key awards include the Frontiers of Science Award (2024), Doctor Honoris Causa from Universitat de Barcelona (2024), and Inaugural Fellow of the American Mathematical Society (2012). He is a member of prestigious academies like the Norwegian Academy of Science and Letters and the Royal Norwegian Society of Sciences and Letters. Seip has led major research projects, including the 2012–2013 Centre for Advanced Study program on Operator-Related Function Theory (co-leader with Yurii Lyubarskii) and multiple grants from the Research Council of Norway. His work emphasizes Fourier methods, multiplicative analysis, and interpolation theory.

• Artificial Intelligence
• Machine Learning
• Medical Technology
• +۷ مورد دیگر

Anis Yazidi is a Professor at Oslo Metropolitan University, affiliated with the Faculty of Technology, Art and Design and the Department of Information Technology. His research focuses on Artificial Intelligence, Machine Learning, Medical Technology, and IoT Security, with a particular emphasis on Applications of AI in Healthcare, EEG Signal Processing, and Digital Transformation. Active research projects include AI Mind (dementia diagnostics), Glycopathology in dry eyes, and Pain and mental distress analysis Completed projects: Digital hate speech analysis, AI in reproductive technology, Nano-antibiotics development His recent publications (2023-2025) demonstrate expertise in: Tsetlin Automaton algorithms for concept learning EEG classification using visibility graphs and vision transformers AI ethics frameworks for medical practice Deepfake detection methodologies Collaborative work spans institutions in Norway, Czech Republic, and international AI research communities.

• Control Systems
• Model Predictive Control
• Power Systems Engineering
• +۳ مورد دیگر

Morten Hovd is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems, model predictive control (MPC), power electronics, and optimization algorithms. He has contributed significantly to the development of robust control strategies for uncertain systems and has published extensively in leading journals and conferences in the field of control engineering. His research interests span several key areas in control systems engineering, including model predictive control, nonlinear control systems, optimization under uncertainty, and applications in power systems and energy efficiency. He is particularly known for his work on discrete-time bilinear systems, modular multilevel converters (MMCs), and the integration of machine learning techniques with control theory. His contributions address both theoretical advancements and practical implementations in industries such as energy and petroleum engineering. Hovd's recent publications highlight advancements in energy-efficient control systems, stochastic surrogate modeling for subsurface flows, and optimization algorithms tailored for complex engineering problems. His work often combines rigorous mathematical frameworks with real-world applications, such as improving the reliability of power systems and enhancing reservoir management through data-driven methods. He is actively involved in teaching courses such as TTK4210 (Advanced Control of Industrial Processes) and TK8118 (Mini-seminar in Cybernetics). His research has led to innovations in fault detection for power systems, energy-efficient building climate control, and robust MPC strategies for uncertain systems.

• Quantum Mechanics
• Quantum Computing
• Atomic Physics
• +۱۱ مورد دیگر

Sølve Selstø is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design, Oslo Metropolitan University. He specializes in theoretical physics and quantum mechanics, teaching mathematics and physics to engineering students. Research interests include quantum computing, photoionization dynamics, relativistic quantum physics, and non-Hermitian quantum systems. His work focuses on quantum particle behavior under light interaction and computational approaches to quantum education. Recent publications address relativistic effects in photoionization, computational quantum physics, and educational frameworks for quantum computing students. Research groups include ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) and Mathematical Modelling . Outreach involves public communication on quantum computing, quantum physics, and AI through media appearances and lectures.

Anne Danielsenمشاهده پروفایل

استاد

• Popular Music
• African-American Music
• Rhythm and Sound Analysis
• +۵ مورد دیگر

Anne Danielsen is a Professor and Deputy Head at the RITMO Center for Interdisciplinary Studies of Rhythm, Time, and Motion at the University of Oslo. Her research bridges musicology, cognitive science, and interdisciplinary studies, focusing on rhythm, music production, and the intersection of music, media, and technology. University: University of Oslo Role: Professor Projects: TIME (NFR TOP RESEARCH), RITMO (NFR Center of Excellence) Danielsen’s work explores microrhythm , groove , and temporal perception in music, with a particular emphasis on popular and African-American music . She investigates how music cognition interacts with sonic features and body posture in performance, integrating psychological and acoustic analysis . Her recent projects include MusicLab Copenhagen , a dataset for interdisciplinary concert research, and studies on beta oscillations and pupil responses in groove perception. Danielsen collaborates across disciplines, examining how personality traits and genetic factors influence musical sensibility through twin studies. In music production , she analyzes how digital audio workstations transform rhythmic structures and investigates acoustic chamber design for sound experiments. Her research also addresses gender patterns in music mediation and the cultural implications of rhythmic aesthetics.

Daniel Romeroمشاهده پروفایل

استاد

• UAV Communications
• Wireless Communications
• Time-Series Analysis
• +۵ مورد دیگر

**Daniel Romero** is a **Professor** in the **Department of Information and Communication Technology** at the **University of Agder**, Norway. His research focuses on UAV communications, time-series analysis using machine learning and network science, and decentralized processing for sensor networks. He holds a Ph.D. in Signal Theory and Communications from the University of Vigo (2015), an M.Sc. in Signal Theory (2011), and a Telecommunication Engineering degree (2009). **Education**: Ph.D. in Signal Theory and Communications, University of Vigo (2015) M.Sc. in Signal Theory and Communications, University of Vigo (2011) Telecommunication Engineering, University of Vigo (2009) **Research Interests**: His work spans UAV communication systems (focusing on low-latency, high-reliability networks), time-series analysis for complex systems (using ML and network science), and decentralized computation in sensor networks to improve robustness and hardware efficiency. Recent projects include radio map estimation for mmWave beam alignment, spoofing detection via graph neural networks, and aerial base station placement optimization. **Publications**: Over 30+ peer-reviewed articles in top venues like IEEE Transactions on Wireless Communications and ICC. Recent trends emphasize radio map estimation (2023–2024), UAV-enabled spectrum surveying (2022), and robust D2D communications (2022). **Advising & Grants**: Teaches PhD courses (Statistical Signal Processing, Advanced Optimization) and leads the **Advanced Signal Processing Lab (ASL)**. Collaborates with the **CIEM (Center for Integrated Emergency Management)** on crisis-related communication systems. **Labs/Teams**: Directs the Advanced Signal Processing Lab (ASL.uia.no) and contributes to CIEM, applying ML and signal processing to emergency management challenges.

Susanna Röblitzمشاهده پروفایل

استاد

• Systems Biology
• Computational Pharmacology
• Mathematical Modeling
• +۴ مورد دیگر

Susanna Röblitz is a Professor at the Department of Informatics within the Computational Biology Unit at the University of Bergen. Her research focuses on mathematical modeling of high-dimensional dynamical systems in life sciences, including molecular conformation dynamics, systems biology, and pharmacology. She specializes in rare event sampling, meshfree methods, clustering algorithms, and uncertainty quantification, with a particular emphasis on oscillatory systems such as hormonal rhythms. Her teaching includes courses such as BINF100 Introduction to Bioinformatics and BINF305 Systems Biology . Her research has been supported by grants from the Research Council of Norway and Nordforsk, including projects like Markov State Models for Cellular Phenotype Switching and RAS-TOOLS . Key research areas include hormonal regulation (e.g., menstrual cycle modeling), gene regulatory networks, and applications in pharmacokinetics and aquaculture. Recent work highlights include the development of Markov state models for gene networks and spectral clustering techniques for analyzing complex biological systems. She has supervised students such as Anna Kristina Fredheim Grandma, whose master’s thesis focused on pharmacokinetic modeling in personalized dosing. Her interdisciplinary collaborations span computational biology, veterinary medicine, and clinical pharmacology.

• Metocean Statistics
• Wave Modeling
• Coastal Engineering
• +۵ مورد دیگر

Konstantinos Christakos is a researcher at the Norwegian Meteorological Institute and an adjunct researcher at the Department of Marine Technology, Norwegian University of Science and Technology (NTNU). His work focuses on metocean statistics, numerical wave modeling, and marine renewable energy applications. Doctoral dissertation: Wind-Generated Waves in Fjords and Coastal Areas (University of Bergen, 2021) Master’s thesis: Characterization of the coastal marine atmospheric boundary layer (MABL) for wind energy applications (University of Bergen, 2013) Christakos specializes in wave modeling for coastal and fjord environments, with a focus on wind-wave interactions, inhomogeneous wave dynamics, and open-source software development. He has contributed to tools like metocean-api , DNORA , and metocean-stats for metocean data analysis and visualization. His recent publications and conference presentations address Arctic wave energy resource assessment, downscaled wave hydrodynamics, and fjord-specific modeling challenges. He actively collaborates with institutions like SFI BLUES, SINTEF, and NOAA, and lectures on marine dynamics and stochastic methods at NTNU. Konstantinos participates in interdisciplinary teams and workshops, emphasizing computational modeling, machine learning integration, and environmental engineering for marine structures.