جست‌وجوی استاد و پژوهشگر

Magnus Mathisen Haalandمشاهده پروفایل

پژوهشگر ارشد

• Archaeology
• Geoarchaeology
• Middle Stone Age Studies
• +۴ مورد دیگر

Magnus Mathisen Haaland is a Postdoctoral Research Fellow in Archaeology at the University of Bergen's Department of Archaeology, History, Cultural and Religious Studies. He is affiliated with the Centre for Early Sapiens Behaviour (SapienCE), funded by the Research Council of Norway (Project 262618). His research focuses on geoarchaeological methods, micromorphology, and Middle Stone Age technologies, particularly ochre use and site formation processes in Southern Africa. His work integrates fieldwork in South Africa and Zimbabwe with laboratory analyses, including micro-FTIR, XRF, and photogrammetry. Haaland has contributed to excavations at Blombos Cave, Klipdrift Shelter, and Pomongwe Cave, exploring topics like ochre powder deposition, hearth maintenance, and digital site reconstruction. He also collaborates on experimental archaeology, documenting fire behaviors and material use. Haaland's publications emphasize methodological innovation, bridging traditional and digital archaeological approaches. His research highlights human-environment interactions during key phases of prehistoric development. He actively engages with both academic and public audiences through lectures and media interviews.

• Neuroscience
• Systems Biology
• Computational Biology
• +۴ مورد دیگر

Stig William Omholt is a Research Professor and Research Director at the Kavli Institute for Systems Neuroscience at NTNU. His work bridges systems biology, neuroscience, and computational modeling. Key research interests include Alzheimer’s disease mechanisms, population dynamics modeling, and cardiovascular physiology. He has contributed to major initiatives like the Functional Annotation of All Salmonid Genomes (FAASG) and pandemic response strategies during the COVID-19 crisis. Publications span topics such as amyloid beta-reelin interactions in Alzheimer’s, household-targeted vaccination strategies, and mitochondrial genetics. His interdisciplinary approach integrates mathematical modeling with experimental data to address complex biological systems. Recent work emphasizes translational applications in personalized medicine and ecological conservation. Key Contributions: Alzheimer’s pathology modeling, wildlife population dynamics, and pandemic intervention strategies Collaborations: International teams in genomics, cardiology, and epidemiology Expertise: Systems-level analysis of physiological and ecological systems

• Industrial Heat Transfer
• Heat Exchangers
• Convection & Radiation
• +۴ مورد دیگر

Erling Næss is a Professor in the Department of Energy and Process Engineering at NTNU. His research focuses on industrial heat transfer, including convection, boiling, condensation, and heat exchanger design. He has collaborated on projects involving hydrogen storage, phase change materials, and geothermal systems. His work often involves experimental validation and numerical modeling, addressing challenges in heat transfer optimization and energy efficiency. Key research areas include: Heat exchanger performance and fouling mitigation Thermal-fluid dynamics in complex geometries Supercritical fluid applications Phase change material integration in energy systems Recent publications emphasize experimental and numerical studies of silica nanoparticle deposition, cavity channel flow dynamics, and heat recovery system optimization. His contributions span academic journals like Applied Thermal Engineering and International Journal of Hydrogen Energy .

• 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.

• Digital Forensics
• Cybercrime Analysis
• Social Network Analysis
• +۳ مورد دیگر

Jan William Johnsen is a Researcher at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. He specializes in digital forensics, cybercrime analysis, and social network analysis, with a focus on applying big data techniques to criminal investigations. His research interests include identifying cybercriminals through text and network analysis, preprocessing natural language for open-source intelligence, and investigating technological factors affecting child sexual abuse material distribution. He has contributed to interdisciplinary studies on criminal network dynamics and has co-authored reports on digital forensics for major institutions. Recent publications highlight trends in criminal network analysis, automated forensic frameworks, and the application of big data in cybercrime investigations. His work bridges technical cybersecurity methods with criminal justice applications. Johnsen teaches courses such as IMT4114 (Introduction to Digital Forensics) and IMT4130 (Investigation of Cybercrime), and has participated in international workshops like the IEEE Big Data conference. His contributions include developing tools like Reccoon for network footprinting and analyzing organized crime groups' communication patterns.

• 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.

• Digital Forensics
• Cybersecurity
• Natural Language Processing (NLP) in Investigations
• +۳ مورد دیگر

Kyle Andrew Porter is a Researcher in the Department of Information Security and Communication Technology at NTNU. His work focuses on digital forensics, cybersecurity, and AI ethics in law enforcement. He holds a doctoral degree from NTNU (2022) and teaches courses such as IMT4133 - Data Science for Security and Forensics. Education: Doctoral dissertation (2022) on metadata carving and approximate string matching. Research interests include improving forensic data analysis through NLP techniques, reducing investigative biases in AI tools, and optimizing metadata extraction from filesystems. His work bridges theoretical computer science with practical applications in criminal investigations. Recent publications (2021–2025) address tool-induced biases in forensic software, synthetic data generation for entity extraction, and AI compliance in speech recognition for police interviews. He has presented at conferences like COLING and IFIP WG11.9 Digital Forensics. Outreach activities include the 2021 INTERPOL Smart City Think-a-thon and collaboration with KRIPOS (Norwegian Police Security Service).

• Process Control
• Petroleum Engineering
• Optimization Algorithms
• +۳ مورد دیگر

Bjarne Foss is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), and Managing Director of the Kavli Institute for Systems Neuroscience. He has been a professor since 1989 and holds a PhD in Engineering Cybernetics from NTNU. His roles include Vice President for Research at NTNU (2017–2020) and Adjunct Professor at the University of South-East Norway (2021–2023). He has extensive board experience with companies like Cybernetica AS, Solution Seeker AS, and KTH Royal Institute of Technology. Foss specializes in process control, reservoir management, and optimization algorithms, with over 300 publications and an H-index of 49. He has supervised 31 PhD students and led major international projects for ESA and EU. Awards include the IBM Open Collaborative Faculty Award (2010, 2011), the Karl Diesel Best Paper Award (1995), and recognition for pedagogical innovation in 2007. His research focuses on enhancing oil production efficiency, automation in energy systems, and control strategies for complex industrial processes. His education includes a PhD from NTNU (Engineering Cybernetics) and an MSc degree awarded with the prestigious «Innstilling» honor. Professional activities include editorial roles, IEEE Senior Membership, and leadership in international committees like IFAC. Foss co-founded Solution Seeker AS (2013), Cybernetica AS (2000), and FIRST Scandinavia (2000). Recent work emphasizes distributed optimization for large-scale oil systems, dynamic control under uncertainty, and shale-gas production strategies. His publications span journals like IEEE Transactions on Automatic Control and Journal of Petroleum Science and Engineering , addressing challenges in reservoir control, model predictive control, and well-placement optimization.

• Signal Analysis
• Biomedical Engineering
• Power Systems
• +۷ مورد دیگر

Marta Molinas is a Professor in the Department of Engineering Cybernetics at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. She holds dual professorships in Industrial Electrotechnics and Power Electronics for Power Systems. She is also an affiliated scientist at the AMOS Center of Excellence. Her research focuses on non-linear/non-stationary signal analysis in both biological systems (EEG) and electrical grids, emphasizing synchronization mechanisms. Key projects include the 'David & Goliath' initiative and 'The Girl Effect' (2019-2020). Education: Dr. Eng. from Tokyo Institute of Technology (2000), Master of Engineering from University of the Ryukyus (1997). Teaching includes courses like TTK4240 Industrial Electrotechnics and TTK7 Adaptive Data Analysis. She supervises numerous PhD students and postdocs in areas like EEG signal analysis and grid stability. Research interests span EEG-based brain-computer interfaces, grid stability, and biomarker identification. Notable experiments include translating EEG signals into drone control and developing low-density EEG systems. Awards: Not explicitly listed, but recognized through prolific publications and grants.

• Artificial Intelligence
• Recommender Systems
• Natural Language Processing
• +۳ مورد دیگر

Benjamin Uwe Kille is an Associate Professor in the Department of Computer Science at NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. His research focuses on artificial intelligence, particularly in recommender systems, natural language processing, fairness in AI, and political text analysis. He leads initiatives involving large language models (e.g., SP-BERT for Scandinavian languages) and explores ethical challenges in AI applications like healthcare and education. Kille is actively involved in organizing workshops (e.g., INRA) and contributes to public outreach through lectures and media engagements. Research Interests: His work spans algorithmic fairness, news personalization, political discourse analysis, and generative AI applications in healthcare and public services. Recent studies include detecting political viewpoints in Norwegian texts and ensuring fairness in recommendation systems for previously unseen users. Publications: His recent work addresses topics like transparent fairness mechanisms, news image-text alignment, and Scandinavian language models. He co-authored reports on AI in healthcare (AIFAL project) and presented at venues like ACM RecSys and NorwAI events. Outreach & Teaching: Teaches TDT4215 - Recommender Systems at NTNU. Engages in public discourse via talks at companies (e.g., Nordea, Statsbygg) and media interviews (e.g., Gemini.no, Digi.no). Collaborates with institutions like SINTEF and the Norwegian Directorate of Health on AI applications. Labs & Teams: Active in the NAIL (Norwegian Artificial Intelligence Lab) and NorwAI initiatives, driving advanced AI research and development in Norway.

• Recommender Systems
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Lemei Zhang is a Research Fellow at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). Her work focuses on developing advanced recommendation systems, particularly in the context of news and social media analysis. She actively contributes to both academic journals and conferences, with a strong emphasis on machine learning and neural network-based solutions. Her research interests include but are not limited to recommender systems, session-based recommendations, attention mechanisms, and multimodal data fusion. She has also contributed to the development of benchmark datasets like the Adressa dataset for news recommendation. Recent publications highlight her exploration of multilingual systems, explainable AI, and real-time social recommendation algorithms. Her work bridges theoretical advancements with practical applications, such as improving content curation in traditional media through AI integration. In teaching, she instructs the course TDT4215 - Recommender Systems, reflecting her expertise in this domain. She has presented at major conferences including ACM Hypertext, ECML-PKDD, and UMAP, showcasing her commitment to advancing interdisciplinary research.

• Atrial fibrillation
• Echocardiography
• Cardiac physiology
• +۴ مورد دیگر

Jon Magne Letnes is an active Researcher at the Department of Circulation and Medical Imaging within the Faculty of Medicine and Health Sciences at the Norwegian University of Science and Technology (NTNU). His work primarily focuses on cardiovascular physiology and pathophysiology, with particular emphasis on cardiac imaging techniques and exercise physiology. He is deeply involved with the extensive HUNT Study, a major population-based health study in Norway that has provided valuable data for numerous cardiovascular investigations. Letnes' research interests center around atrial fibrillation , particularly in endurance athletes, echocardiography techniques including speckle tracking, cardiovascular physiology in both healthy individuals and those with cardiac conditions, and the relationship between maximal oxygen uptake and cardiovascular health outcomes. His work frequently examines how cardiac structure and function relate to fitness levels and how these relationships might differ between athletes and the general population. His publication record shows a strong focus on clinical applications of cardiovascular research, particularly regarding atrial fibrillation management in athletes and the general population. Recent work has increasingly focused on exercise interventions for patients with atrial fibrillation (NEXAF trial), advanced echocardiographic techniques for cardiac assessment, and population-based studies examining the relationships between fitness, cardiac structure, and cardiovascular outcomes. Letnes actively contributes to medical education at NTNU, teaching the course MDV6025 - Exercise Training and Cardiovascular Health. He regularly presents his research findings at national and international conferences, with recent presentations focusing on atrial fibrillation and exercise, cardiac chamber assessment, and cardiovascular fitness implications. His outreach includes media appearances discussing research findings related to cardiovascular health and fitness.

• Smart Wireless Systems (IoT)
• Information Security (Biometric Systems)
• Digital Electronics
• +۲ مورد دیگر

About Mohammad Derawi Mohammad Derawi is a Professor at NTNU's Department of Electronic Systems, part of the Faculty of Information Technology and Electrical Engineering. He leads the Smart Wireless Systems (SWS) Research Group and directs the IoT-Lab at NTNU Gjøvik. His academic journey includes a PhD from NISLab (Norway) and CASED (Germany), alongside BSc/MSc degrees in Informatics from DTU (Denmark). Research Interests Derawi specializes in Smart Wireless Systems (IoT), Information Security (Biometric Systems), Digital Electronics, and Machine Learning applications in activity recognition and e-learning. His work bridges theoretical advancements with practical implementations, emphasizing secure and efficient IoT solutions. Research Projects Notable projects include IoT-Safetraffic (RFF Innlandet), Ambulance Drone (NTNU), Wireless ECG (Innovation Norway), and the EU-funded TURBINE project. These projects focus on IoT security, healthcare applications, and smart transportation systems. Awards & Recognition Recipient of NTNU's Quality in Education Award (2017) Honored as Norway's Youngest Professor (2016) Received multiple best paper awards from IEEE/ACM/Springer Invited to the Crown Prince Couple's 50th Birthday Celebration (2023) Grants & Leadership Led multi-institutional initiatives funded by RFF Innlandet, Innovation Norway, and EU grants. His research group collaborates with industry partners to develop cutting-edge IoT and wireless communication solutions. Labs & Teams Scientific Director of NTNU's IoT-Lab, fostering innovation in IoT ecosystems and smart city technologies. Active in mentoring students and industry professionals through workshops and conferences.

• Electronic Systems
• Signal Processing
• Control Systems
• +۳ مورد دیگر

Bojana Gajic is an Associate Professor at the Department of Electronic Systems within NTNU – Norwegian University of Science and Technology. Her work is centered at Gløshaugen campus in Trondheim. She is actively involved in teaching, research, and outreach activities related to electronic systems and technology. While specific research interests are not detailed in the provided text, her affiliation with the Department of Electronic Systems suggests a focus on areas such as signal processing, control systems, and telecommunications. She contributes to academic programs, including master's and PhD opportunities at NTNU. No scientific awards, grants, or specific publications are listed in the current data, though her profile highlights general engagement in research and innovation.

• Intelligent Sensor Systems
• Autonomous Systems
• Cyber-Physical Systems
• +۱۹ مورد دیگر

Niki Trigoni is a Professor of Computing Science at the University of Oxford, Department of Computer Science, and a Governing Body Fellow at Kellogg College. She leads the Cyber Physical Systems Group and is Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS), a major interdisciplinary program combining robotics, machine learning, sensor systems, and verification/control. Her research focuses on intelligent and autonomous sensor systems, with applications in indoor positioning, healthcare monitoring, environmental sensing, and smart cities. Key interests include data fusion, inference and learning from sensor data, human-robot interaction, communication protocols for sensor networks, and innovative mobile sensing architectures such as participatory and social sensing. Her recent publications (2020–2023) highlight a strong trend in deep learning-based sensor fusion, particularly using mmWave radar, LiDAR, inertial, and visual data. Work spans human sensing (e.g., mmPoint), localization (e.g., PointLoc, RadarLoc), SLAM (e.g., iMag+), and domain adaptation (e.g., illumination-aware thermal detection). The research demonstrates a consistent focus on robustness in GPS-denied environments and real-world deployment. She has secured external funding, including a 3-year NIST grant for indoor positioning systems for emergency responders. She actively supervises a large cohort of PhD students and research associates, many of whom have gone on to notable careers. Her leadership roles in major conferences such as IPSN and Sensys further underscore her impact in the field. Labs and Teams: Cyber Physical Systems Group EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS)