جست‌وجوی استاد و پژوهشگر

• Microsimulation
• Income inequality
• Work incentives
• +۴ مورد دیگر

Joonas Ollonqvist serves as a Senior Researcher at the Finnish Institute for Health and Welfare (THL), working within the Healthcare and Social Welfare department's Social Security and Services unit. He is actively involved with the INVEST-flagship research initiative. Doctor of Social Sciences (Economics, 2021) Master of Social Sciences (Economics, 2013) Bachelor of Social Sciences (Economics, 2013) His research expertise centers on microsimulation techniques applied to social policy analysis, with particular focus on income inequality dynamics, financial work incentives, retirement systems, and international comparisons of social security frameworks. Ollonqvist examines how economic factors and policy designs influence labor market participation and social protection outcomes. His recent publications reveal a methodological strength in comparative analysis and sensitivity testing, particularly examining how different measurement approaches affect policy conclusions regarding income distribution and social security systems. His work bridges economics, public policy, and social welfare research. 2022: Analysis of minimum income schemes across welfare states 2021: Investigation of health gradient relationships with income measurement 2021: Doctoral research on income inequality and work incentives Ollonqvist collaborates with researchers across multiple institutions, demonstrating an active research network in social policy analysis. His work contributes evidence-based insights for social security system design and reform.

• Control Systems
• Robotics
• Spacecraft Attitude Control
• +۷ مورد دیگر

Jan Tommy Gravdahl is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems, robotics, and their applications in marine, aerospace, and industrial systems. Key interests include underwater robotics, spacecraft attitude control, nonlinear control, and model predictive control. Research Interests: Development of control algorithms for autonomous underwater vehicles (AUVs) and snake robots, including path following, energy shaping, and compliant interaction. Spacecraft attitude control systems, emphasizing energy optimization and solar-powered mission execution. Robust control methodologies such as sliding mode control (e.g., super-twisting algorithm) and task-priority frameworks. Integration of learning-based techniques (e.g., reinforcement learning, neural networks) into model predictive control architectures. Applications in robotics for manufacturing, including additive manufacturing and sensor-guided robotic systems. Publications Trends: Recent work emphasizes underwater robotics (snake robot locomotion, wake navigation), spacecraft control (energy-optimal attitude maneuvers), and advanced MPC frameworks. Key themes include safety constraints, real-time adaptation, and multi-robot cooperation. Advising/Grants: Advises students on topics ranging from control theory to robotics applications. Collaborates on projects funded by industries and research councils, though specific grants are not listed here. Labs/Teams: Likely involved with NTNU’s robotics and automation groups, particularly in underwater robotics and aerospace control systems research.

Fazle Rabbiمشاهده پروفایل

دانشیار

• Healthcare Informatics
• Model-Driven Engineering
• Artificial Intelligence in Mental Health
• +۵ مورد دیگر

Fazle Rabbi is an Associate Professor at the University of Bergen's Department of Information and Media Studies, affiliated with the Intelligent Information Systems (I2S) research group. His research focuses on model-driven engineering, healthcare informatics, and adaptive e-mental health systems. He has contributed to projects like the INTROMAT initiative, which integrates interdisciplinary approaches to improve mental healthcare through technology. Education: PhD in Computer Science from the University of Oslo (2017), supervised by Ingrid Chieh Yu, Yngve Lamo, and Lars Michael Kristensen. His doctoral work centered on model-driven techniques for complex software systems analysis. Research Interests: His work spans healthcare system design, privacy-preserving machine learning, clinical decision support systems, and the application of AI in journalism and mental health. Notable contributions include frameworks for news content analysis, gamified clinical guideline training systems, and adaptive infrastructure for internet-delivered psychological treatments. Collaborations: Active in cross-disciplinary projects funded by the Research Council of Norway (e.g., Project 259293). Key collaborators include Tine Nordgreen (mental health), Yngve Lamo (model-driven engineering), and Jim Tørresen (AI applications). Grants: Lead and co-investigator on several grants focusing on e-mental health infrastructure development and AI-driven healthcare solutions.

• Materials Science
• Electrochemistry
• Battery Technology
• +۴ مورد دیگر

Per Erik Vullum is an Associate Professor at the Norwegian University of Science and Technology (NTNU), based at Realfagbygget, D4-106, Gløshaugen campus (Høgskoleringen 5). His research spans materials science with emphasis on lithium-ion battery systems, electron microscopy characterization, and welding of dissimilar metals. Contact details: per.vullum@ntnu.no, +4773593486, +4793016522. Primary research interests include: Battery materials (silicon anodes, layered oxide cathodes, solid electrolytes) Intermetallic phase formation in aluminum-copper/steel welds Advanced microscopy techniques (TEM, STEM, in situ characterization) Industrial catalysis for energy and chemical processes Additive manufacturing of high-strength alloys Analysis of his 15 most recent publications reveals dominant focus on battery technology (8 articles, 53%), particularly silicon anode degradation and cathode cracking mechanisms. Secondary themes include dissimilar metal joining (4 articles, 27%) and electron microscopy (2 articles, 13%), with one catalysis study. Collaborative work with SINTEF and industry partners is evident through co-authors on welding and subsea cable projects. Scientific awards: No awards mentioned in the source text Advising and grants: The provided text does not reference any PhD/Master's students, grants, or funding sources. His collaborative publications suggest team-based research but omit specific grant details. Labs and teams: Vullum operates within NTNU's materials research ecosystem, likely connected to electron microscopy facilities given his TEM-focused publications. His SINTEF blog contribution indicates active collaboration with Norway's applied research sector, particularly in subsea cable and battery projects.

• Communication and Distributed Systems
• Internet of Things
• System Development
• +۵ مورد دیگر

Peter Micael Herrmann is a Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His research spans multiple domains including distributed systems, IoT, and security, with affiliations across Norway, Germany, and Australia. Research Focus: Herrmann's expertise centers on communication systems, IoT applications, and intelligent transport solutions. His work integrates theoretical foundations with practical system development, emphasizing security vulnerabilities and knowledge-based approaches. Key domains include: Distributed network architectures and concurrency models Synthetic data generation for adaptive IoT sampling Theoretical computing and formal methods for system reliability Publication Trends: Recent works demonstrate a strong focus on IoT data optimization and spatio-temporal network analysis. His 2024 publications include synthetic data frameworks for IoT devices and model-driven engineering advancements. Earlier works frequently address concurrency, formal verification, and transport system safety. Achievements: Best Paper Award at ENASE 2016 for transport system safety methodology Best-Track Paper Award at APSCC 2014 for services computing IME Faculty's Learning Environment Award (2015) Multiple conference award nominations including IOV 2019 Projects & Collaborations: Herrmann has led projects like Ubiquitous Computing For All Users (UbiCompForAll) and contributed to initiatives such as Semantic Interfaces for Mobile Services (SIMS). His work involves cross-institutional teams with SINTEF, Telenor, and international partners, focusing on mobile services and integrated infrastructure.

• Quantum Cryptography
• Quantum Key Distribution
• Physics Education
• +۳ مورد دیگر

Dr. Øystein Marøy is an Associate Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU) . His academic role focuses on teaching physics to engineering preparatory students and advancing research at the intersection of quantum cryptography and educational innovation. Key Affiliations: Faculty of Information Technology and Electrical Engineering, NTNU Contact: oystein.maroy@ntnu.no Marøy’s research spans two distinct domains: quantum cryptography , where he has contributed to secure quantum communication protocols and attack countermeasures since 2008, and physics education , with recent work on enhancing student reflection and scaling active learning in large engineering courses. His pedagogical research emphasizes digital learning environments and collaborative educational technology. Recent publications highlight his dual focus: (1) quantum security advancements (2010–2017), including error correction and detector optimization, and (2) education-focused studies (2020–2024) addressing interdisciplinary learning transfer, scalable teaching designs, and EdTech-driven collaborative work. Marøy actively engages in outreach through academic lectures, including presentations on quantum hacking at Peking University (2010) and educational design at NTNU (2020). He teaches foundational physics courses for engineering students ( TFOR0117 , TFOR0112 ).

Myrthe Erica Jeanne Tillemanمشاهده پروفایل

پژوهشگر

• Immersive Multimedia
• Robotics
• Machine Learning
• +۷ مورد دیگر

Myrthe Erica Jeanne Tilleman is a Doctoral Research Fellow at the Department of Informatics, University of Oslo, within the Faculty of Mathematics and Natural Sciences. She works in the Sustainable Immersive Networks Lab (SINLAB) under the supervision of Prof. Özgü Alay and Prof. Carsten Griwodz, focusing on the integration of brain-computer interfaces for latency hiding in immersive multimodal teleoperations. Degree: MSc in Human Neuroscience, University of Turku, Finland (2021–2023) Thesis: "Towards Bidirectional Lower Limb Prostheses: Restoring Proprioception Using EMG Based Vibrotactile Feedback" at Össur, Iceland Bachelor: BSc in Technology and Liberal Arts & Sciences, University College Twente, University of Twente, The Netherlands (2016–2019) Exchange: Waseda University, Japan Her research spans interdisciplinary domains including immersive multimedia, robotics, machine learning, neuroscience, motion capture, human-robot interaction, and brain-computer interfaces . Her work aims to enhance teleoperation systems by leveraging neural feedback to mitigate latency issues in real-time immersive environments. Although no publications are currently listed in Cristin, her ongoing doctoral research suggests a strong trajectory in human-centered networked systems and neuro-interactive technologies. She is actively contributing to advanced research in sustainable immersive networks, with potential applications in prosthetics, virtual reality, and remote robotics. Scientific Affiliations: Sustainable Immersive Networks Lab (SINLAB) Networks and Distributed Systems group, Department of Informatics Faculty of Mathematics and Natural Sciences, University of Oslo She has no listed scientific awards or advisees at this stage of her career. Her research is supported by academic supervision and institutional infrastructure at UiO.

• Health Sciences
• Social Anthropology
• Medical Sciences
• +۱۲ مورد دیگر

Camilla Hansen is an Associate Professor in the Department of Nursing and Health Promotion at the Faculty of Health Sciences, Oslo Metropolitan University. Her work bridges health sciences, social anthropology, and qualitative research methodologies, with a focus on research ethics, ethnographic fieldwork, and health equity. She plays a leadership role as Head of Studies in her academic area. Her research interests include: Research ethics and GDPR implications for ethnography Life stories, narratives, and stigmatization Migration, minority health, and empowerment Disability studies and post-apartheid South Africa Global health education and international student mobility Qualitative methods in health research Her recent publications reflect a strong engagement with ethical challenges in ethnographic research, patient education in multilingual settings, and the lived experiences of disability and trauma. Her work often centers on marginalized populations, particularly in South Africa and among refugee communities. She contributes extensively to both academic and professional discourse through journals like Norsk antropologisk tidsskrift and Patient Education and Counseling , as well as through conference presentations across Europe. Camilla Hansen has been involved in significant research collaborations, including international projects with Tanzania, and actively participates in networks such as Medical Anthropology Europe. She supervises student fieldwork in the Global South and emphasizes ethical, reflexive practice in global health education. She has not received any explicitly mentioned scientific awards. There is no public list of her students. Her email is camilla.hansen@oslomet.no.

• Photodynamic Therapy
• UV Radiation Biology
• Vitamin D Photobiology
• +۳ مورد دیگر

Asta Juzenienne serves as an Associate Professor in Biophysics and Medical Physics at the University of Oslo , Faculty of Mathematics and Natural Sciences. Her research bridges photobiology, radiation oncology, and vitamin D photobiology. Current focus on targeted alpha therapy and photodynamic treatment mechanisms Collaborative work with institutions like Oslo University Hospital and international research teams Her recent publications highlight innovations in: 224Ra/212Pb dual targeting for disseminated cancers PSMA-directed radioligands for prostate cancer UV radiation's role in vitamin D/folate dynamics Drug interactions with melanoma risk Advanced delivery systems for photosensitizers

Anja Olafsen Sjåstadمشاهده پروفایل

استاد

• Inorganic Materials Chemistry
• Catalysis
• Nanomaterials
• +۵ مورد دیگر

Anja Olafsen Sjåstad is a Professor in the Department of Chemistry at the University of Oslo's Faculty of Mathematics and Natural Sciences. Her research focuses on inorganic materials chemistry with particular emphasis on catalysis, nanomaterials, and energy applications. She is an active member of the Nanostructures and Functional Materials (NAFUMA) research group and contributes to initiatives like HYDROGENi - the Norwegian centre for hydrogen and ammonia research and innovation. Her work bridges fundamental materials science with industrial applications, particularly in catalytic processes involving platinum-group metals. Department of Chemistry, University of Oslo Faculty of Mathematics and Natural Sciences Nanostructures and Functional Materials (NAFUMA) research group HYDROGENi - Norwegian centre for hydrogen research 2D high-entropy materials for energy conversion (HEMEC) project Professor Sjåstad's research interests center on inorganic materials chemistry with a strong focus on catalysis, particularly platinum-rhodium systems for ammonia oxidation processes. Her work spans nanomaterials synthesis and characterization, computational materials science including DFT and ab initio studies, energy materials for hydrogen applications, and oxide chemistry. She investigates surface phenomena, interface engineering, and the electronic structure of materials to develop more efficient catalysts and energy conversion systems. Her research combines experimental techniques like XPS, TEM, and STM with computational approaches to understand materials at the atomic level. Analysis of Professor Sjåstad's recent publications reveals a consistent focus on platinum-group metal catalysts, particularly for ammonia oxidation applications. Her work shows increasing integration of machine learning with experimental validation for materials discovery, as seen in her 2025 magnetocaloric materials paper. There's a strong emphasis on understanding surface phenomena and interface behavior through advanced characterization techniques like in situ TEM and XPS. Her research portfolio spans fundamental computational studies of electronic structure to applied work on catalyst design and recovery systems, demonstrating a comprehensive approach to materials science that connects atomic-scale understanding with industrial applications. Professor Sjåstad actively leads and participates in significant research projects including HEMEC (2D high-entropy materials for energy conversion) and HYDROGENi (Norwegian centre for hydrogen and ammonia research). Her work addresses critical challenges in sustainable energy technologies, particularly in catalyst development for hydrogen production and ammonia processes. While specific grant details aren't provided in the source material, her extensive publication record in high-impact journals demonstrates successful research funding and project execution. Professor Sjåstad is affiliated with the Nanostructures and Functional Materials (NAFUMA) research group at the University of Oslo, which focuses on advanced materials synthesis, characterization, and application. Her work connects with the HYDROGENi centre's mission to advance hydrogen and ammonia technologies. The research environment she participates in combines experimental facilities for materials synthesis and characterization with computational resources for modeling and simulation, supporting a comprehensive approach to materials science research.

• Artificial Intelligence
• Machine Learning
• Federated Learning
• +۳ مورد دیگر

Bithi Banik is a PhD Fellow at Kristiania University College, affiliated with the School of Economics, Innovation and Technology. Her research focuses on advancing machine learning and artificial intelligence, particularly through federated learning, to address complex healthcare challenges while prioritizing data privacy and ethical AI practices. Her work explores applications of distributed AI models in healthcare, aiming to improve patient outcomes through secure, multi-source data analysis. Research interests span AI innovation, data security, and ethical frameworks in computational systems.

Agaraoli Aravazhiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Healthcare Operations Management
• Predictive Analytics
• +۳ مورد دیگر

Agaraoli Aravazhi is a Scientific Staff member at the Logistics Department of Molde University College - Specialized University in Logistics, specializing in AI applications for healthcare and logistics systems. He holds a Bachelor of Technology in Mechanical Engineering from Amrita Vishwa Vidyapeetham University and a Master of Science in Engineering Logistics from Molde University College. Education : B.Tech (Mechanical Engineering), MSc (Engineering Logistics) Research Groups : Center for Healthcare Operations Management, ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence), Digitization for Sustainability His research focuses on AI-driven hospital production processes , predictive analytics for healthcare operations , and logistics optimization . He has contributed to studies on patient treatment process monitoring, surgical case volume forecasting, and inventory management in hospitals. The scientific publications highlight his work in applying hybrid machine learning models to healthcare challenges, developing connectivity metrics for transportation systems, and exploring blockchain applications for health records. While no formal awards are listed, his research involves collaborations across multiple disciplines including medicine, logistics, and data science. Additional contributions include teaching SAP best practices for digital workforce preparation and text mining applications for extracting insights from hospital administrative documents. He is actively involved in the Center for Healthcare Operations Management, focusing on transforming clinical workflows through technology.

• Operations Research
• Maritime Logistics
• Supply Chain Optimization
• +۳ مورد دیگر

Kjetil Fagerholt is a Professor at the Department of Industrial Economics and Technology Management at the Norwegian University of Science and Technology (NTNU). His research focuses on operations research and maritime logistics, with applications in supply chain optimization and automated container terminals. Recent research includes: Maritime inventory routing for fish feed distribution Liner feeder service network design in China Optimization of AGV routing in automated container terminals Supply chain strategies for ocean alkalinity enhancement He collaborates with institutions like CAU (China), DMU (Denmark), and NTNU on maritime transport and logistics problems. Key projects include FAME and Green Shipping under uncertainty.

• Geothermal Energy
• Environmental Geotechnics
• Soil-Structure Interaction
• +۵ مورد دیگر

Rao Martand Singh is a Professor in Geotechnical Engineering at the Department of Civil and Environmental Engineering , Norwegian University of Science and Technology (NTNU). He specializes in applying geotechnical principles to energy and environmental challenges, with 15 years of global research experience in geothermal energy foundations, unsaturated soil behavior, and geosynthetic clay liner characterization. His research spans Thermo-hydro-mechanical (THM) soil behavior Energy pile/tunnel/wall systems Ground source heat pump (GSHP) optimization Geosynthetic clay liner performance Nuclear waste disposal barriers Low-carbon construction materials Recent publications (2023-2025) demonstrate expertise in energy micropile design , thermal joint engineering , and waste material stabilization , with a focus on urban geothermal integration and climate-adaptive solutions . Collaborations include institutions in Australia, UK, and Lithuania. He obtained his PhD from Cardiff University , MTech from IIT Delhi , and BEng from MBM Engineering College . Notable career highlights include positions at Monash University and University of Surrey prior to NTNU.

• Software Engineering
• Software Security
• Artificial Intelligence in Software Engineering
• +۲ مورد دیگر

Professor Jingyue Li is a Professor in the Department of Computer Science at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. She earned her Ph.D. in Software Engineering from NTNU in 2006 and maintains extensive industry experience from global corporations including IBM and DNV Research and Innovation. She currently serves on the EASE steering committee and holds the position of General Chair for FSE 2025. Her educational background includes: Ph.D. in Software Engineering from NTNU (2006) Professor Li's research spans empirical software engineering with core focus areas in software security, AI integration in software development, and blockchain technologies. Her methodological approach emphasizes design science to create innovative tools and frameworks, particularly for security-critical systems and decentralized applications. Recent projects demonstrate strong industry collaboration in supply chain management, smart city infrastructure, and healthcare technology. Analysis of her 2023-2025 publications reveals dominant themes in blockchain governance (40%), security vulnerability detection/repair (35%), and AI-enhanced software engineering (25%). Key trends include empirical studies of Bitcoin consensus evolution, development of decision support systems for blockchain design patterns, and novel techniques for detecting unexploited smart contract vulnerabilities. Her work consistently bridges theoretical advances with practical industrial applications. Professor Li actively contributes to the research community through leadership roles including General Chair for FSE 2025 and EASE steering committee membership. Her grant portfolio features significant projects such as PaaSforChain (2020-2023, PI), CyberSmart (2017-2020, PI), and TRACE4EU (2023-2025, Key Scientist), demonstrating sustained funding success across blockchain, security, and AI domains. International collaborations include research visits to University College London, University of Washington, Hiroshima University, and Peking University. Her research is conducted within NTNU's Department of Computer Science, where she integrates cutting-edge industry experience with academic rigor to advance software engineering practices in security-critical and blockchain-based systems.