جست‌وجوی استاد و پژوهشگر

Yury Redutskiyمشاهده پروفایل

دانشیار

• Logistics
• Optimization in Technology
• Industrial Safety
• +۷ مورد دیگر

Yury Redutskiy is an Associate Professor in Quantitative Logistics at Molde University College, part of the Faculty of Logistics. He holds a PhD in Logistics (2017) from Molde University College, focusing on strategic planning for smart solutions in the oil and gas industry. His academic background includes a Master’s and Bachelor’s from Gubkin Russian State University of Oil and Gas, specializing in automation and process control for industrial facilities in the oil and gas sector. Education: PhD in Logistics (2017), Master’s (2011) and Bachelor’s (2009) in Automation and Control from Gubkin University. Research Interests: Logistics optimization, industrial safety, risk management, data science, energy efficiency, and smart solutions for the oil and gas industry. Teaching: Courses include Energy Analytics, Operational Risk Analysis, and Petroleum Logistics. He is a member of the Alliance for Logistics Innovation through Collaboration in Europe (ALICE) and the University of the Arctic (UArctic). His research focuses on safety systems design, maintenance planning for remote oil and gas facilities, and sustainable energy logistics. Over 10+ peer-reviewed articles address topics like safety instrumented systems, employee scheduling, and waste management infrastructure planning. Key Projects: Arctic Logistics UTFORSK-project (Norway-Brazil collaboration), infrastructure planning for cooking oil waste. Advising: Supervised 11 master’s theses and 1 bachelor’s thesis in logistics, risk management, and safety systems. He contributes to the Energy Logistics Research Group (EneLog) and promotes interdisciplinary collaboration in logistics and energy sectors.

Kjell Ivar Øvergårdمشاهده پروفایل

استاد

• Work and Organizational Psychology
• Human-Technology Interaction
• Transportation Safety
• +۷ مورد دیگر

Professor Kjell Ivar Øvergård is a Full Professor at the University of South-Eastern Norway (USN), leading the Research Group for Health Promotion in Settings within the Department of Health, Social, and Welfare Studies. His academic roles include course responsibility for Philosophy of Science and Research Methods (MSH-VET4100), lecturing on work and organizational psychology in MSH-VAA4300 and MSH-OPP4400, and supervising master’s and PhD candidates. He also serves as Chief Scientific Officer at EBHR AS, focusing on algorithmic HR software development. Education: PhD in Psychology (Cognitive Systems Engineering) from NTNU (2008), Cand.Polit in Psychology (Ergonomics and Human Factors) from NTNU (2004), and Cand.mag from Akershus College (2001). Research Interests: Cross-disciplinary studies in work environment impacts on health/turnover, human-technology interaction, transportation safety, workplace well-being, and applied statistics. Key areas include maritime human factors, decision-making under pressure, and automation trust modeling. Notable Contributions: 2012 gift professorship from Kongsberg Maritime (4 MNOK over 5 years), leadership roles in national/international research initiatives, and 6 program accreditations in Georgia/Croatia. Language proficiency includes C2+ Norwegian, C1 English, B2 German, and A2 Croatian. Advancing interdisciplinary research through collaboration with universities, industry partners, and public sectors. Focus on actionable insights for workplace safety, organizational health, and technological adaptation in complex systems.

• Healthcare Management
• Health Services Research
• Healthcare Operations
• +۳ مورد دیگر

Birgithe Eckermann Sandbæk is an Associate Professor at the Faculty of Logistics, Molde University College. Her research focuses on healthcare operations, home care services, and operational efficiency in healthcare systems. She has contributed to understanding cost drivers in homecare, optimizing operating room efficiency, and analyzing healthcare workforce dynamics. Her work often integrates interdisciplinary approaches, such as text mining and performance metrics in healthcare administration. Her research interests include Healthcare Management, Health Services Research, and Public Health. She has published studies on rural healthcare challenges, resource allocation in hospitals, and the application of logistics principles to healthcare delivery. Professionally, she is affiliated with the Center for Healthcare Operations Management , contributing to projects like e-Hospital4Future . While specific advising details are not listed, her publications reflect collaborative work with researchers like Berit Helgheim and Line Slyngstad. Grants and funding specifics are not explicitly mentioned in the provided text.

• Computer Graphics
• Geosciences Visualization
• Virtual Reality Applications
• +۳ مورد دیگر

Assoc. Prof Daniel Patel holds a position in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences (HVL). His research focuses on interdisciplinary applications of computer graphics and visualization techniques in geosciences, VR training systems, and educational technology. Key areas include collaborative software for subsurface CO2 storage, seismic data interpretation, and vision-training serious games for children. His work bridges computer science with geology, energy systems, and marine biology, emphasizing real-time visualization algorithms and secure rendering methods. He has pioneered VR training systems for safety assessment and developed web-based 3D geology visualization tools using open standards like X3DOM. His research also extends to acoustic marine species identification and GPU-optimized rendering techniques. Notable contributions include advancements in homomorphic-encrypted volume rendering for secure visualization, multi-GPU processing with the Vulkan API, and sketch-based geological modeling tools. His projects often integrate modern hardware (e.g., VR headsets) with game engines to enhance training and educational outcomes.

• Robotics
• Motion Control
• Physical Human-Robot Interaction
• +۳ مورد دیگر

Professor Erik Kyrkjebø is a robotics scholar at the Western Norway University of Applied Sciences (HVL), leading the Robotics research group. He holds a PhD (2007) and Master's (2000) from NTNU, and a Bachelor's (1998) from Sogn og Fjordane University College. His research focuses on physical Human-Robot Interaction, cooperative control, and student-active online learning. He has led major projects like the 4.5 M€ Teknoløft initiative to boost regional research in robotics and big data. Key roles include PI of projects such as CoBotAGV and RobotHandleS, and board memberships in regional innovation bodies. His education history spans foundational degrees in engineering cybernetics and control engineering. Recent projects emphasize industrial collaboration, including robotic solutions for surgical instruments and raspberry production systems. Awards include a Marie Curie Fellowship (2005). He has supervised numerous PhD and master’s students, focusing on topics like rehabilitation robotics and human-robot cooperation. Research interests span motion control, robotics for medical applications, and educational technology. He teaches advanced robotics courses and contributes to interdisciplinary initiatives like the HVL Robotics Lab. His work bridges academia and industry through projects with partners like ABB, Statoil, and hospitals.

• Robotics
• Human-Robot Interaction
• Manufacturing Automation
• +۳ مورد دیگر

Assistant Professor Daniel Schäle is affiliated with the Department of Computer Science, Electrical Engineering, and Mathematical Sciences at Western Norway University of Applied Sciences. His research focuses on robotics and human-robot interaction, with particular emphasis on manufacturing automation and incremental learning algorithms. Key affiliations include: Department of Computer Science, Electrical Engineering, and Mathematical Sciences Robotics research group His research interests span robotics and human-robot interaction, including: Development of collaborative robots for industrial applications Advancing manufacturing processes through robot learning Programming tasks like industrial gluing and wood carving using probabilistic movement primitives Exploring incremental learning algorithms to enhance human-robot cooperation Recent work highlights advancements in robotic manufacturing tasks, incremental learning frameworks, and probabilistic models for movement primitives. These contributions address both theoretical and applied challenges in robotics, such as optimizing industrial processes and human-robot interaction through adaptive learning systems. Teaching responsibilities include courses such as: Applied Robot Prototyping (ADA526) Advanced Robot Control (ADA527) Master’s Thesis supervision (ADA599) Intelligent Robots (DAT160) Bachelor Thesis (ELE350) No student advisees or grant information listed. He contributed to the establishment of the HVL Robotics lab in Førde Campus, fostering research in robotics infrastructure and academic development.

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

Amel Dechemi is a Research Fellow in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. Their work focuses on robotics applications in precision agriculture, assistive robotics, and computer vision for healthcare. Research spans autonomous systems for crop monitoring, infant action recognition, and data fusion techniques. Key research interests include robotic perception, agricultural automation, and lightweight neural networks for unconstrained environments. Their robotic systems address challenges like leaf retrieval, irrigation optimization, and infant motion analysis for pediatric rehabilitation. Publishing trends highlight contributions to IEEE Robotics & Automation Magazine and specialized journals. Ongoing projects aim to bridge robotics with sustainable agriculture and medical technology.

Arild Hoffمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +۳ مورد دیگر

Arild Hoff is a Professor of Quantitative Logistics at Molde University College, Faculty of Logistics. He teaches courses including LOG500 Management Models and Operations Research (Bachelor - Fall semester) and LOG530 Distribution Planning (Bachelor - Spring semester). Previously, he has taught several subjects within informatics, inventory and production management and exact optimization methods, both at bachelor and master level. His educational background includes: PhD in Logistics – Molde University College (2006) Cand. Scient. – University of Bergen (1998) Cand. Mag. – Molde University College (1994) Marketing – Trondheim Business School (1991) Business Economist – Trondheim Business School (1987) Professor Hoff's research focuses on operations research, planning, optimization and decision support, with particular emphasis on solution methods for combinatorial optimization problems, such as vehicle routing and hub location. His PhD thesis addressed "Heuristics for Rich Vehicle Routing Problems," exploring search methods for solving advanced vehicle routing problems with special constraints. His recent publications demonstrate a strong focus on maritime logistics, inventory routing problems, and optimization methods under uncertainty. His work spans applications in aquaculture, disaster relief, waste collection, and transportation planning, with a consistent emphasis on developing and applying advanced optimization techniques to complex real-world problems. Professor Hoff is actively involved in research groups including Energy Logistics (EneLog) and Planning, Optimization and Decision Support, with additional interests in aquaculture and other marine industries.

• Ferroalloy Production
• Silicon Refining
• Environmental Metallurgy
• +۳ مورد دیگر

Professor Gabriella M. Tranell holds a MSc in Geotechnology/Metallurgy from Luleå University of Technology (LTU), Sweden, and a PhD in Materials Science and Engineering from the University of New South Wales (UNSW), Australia. She has been affiliated with NTNU since 2009, previously serving as Senior Scientist and Research Manager at SINTEF. Her research focuses on metallurgical processes, including ferroalloy production, silicon refining, environmental emissions mitigation, and recycling of metallurgical byproducts. Key projects include the SisAl technology for sustainable silicon production and the study of PAH emissions in industrial processes. Her work spans interdisciplinary collaborations, addressing both technical challenges (e.g., optimizing aluminothermic reduction and slag behavior) and environmental concerns (e.g., LCA of recycling processes and circular economy metrics). Recent publications emphasize pilot-scale experiments, material characterization, and environmental impact assessments. She has contributed to industry-relevant solutions such as flue gas recirculation systems and salt-flux recycling strategies. Tranell’s research group collaborates extensively with industry partners like SINTEF, focusing on translating lab-scale innovations into industrial applications. Her contributions include advancing understanding of metallurgical processes, reducing emissions, and improving resource efficiency in metal production sectors.

Louise Steffensen Schmidtمشاهده پروفایل

پژوهشگر

• Glaciology
• Cryosphere
• Climate Change
• +۳ مورد دیگر

Louise Steffensen Schmidt is a Researcher at the University of Oslo's Department of Geosciences, within the Section of Physical Geography and Hydrology. Her work focuses on glaciology, cryosphere dynamics, and climate change impacts. She holds a PhD in Geophysics from the University of Iceland (2015–2019), an MSc in Physics from the University of Copenhagen (2012–2014), and a BSc in Physics from the same institution (2009–2012). Currently, she leads the MAMMAMIA project exploring mechanisms of ice acceleration in Arctic glaciers. Her research combines field observations, remote sensing, and numerical modeling to study glacier mass balance, meltwater runoff, and subglacial processes in regions like Svalbard and Iceland. Recent work highlights ocean warming's role in Arctic glacier retreat and the degradation of climatic signals in Svalbard glaciers due to rapid warming. Education: PhD in Geophysics, University of Iceland (2015–2019) MSc in Physics, University of Copenhagen (2012–2014) BSc in Physics, University of Copenhagen (2009–2012) Research Interests: Glacier dynamics and mass balance Climate modeling and cryosphere-climate interactions Remote sensing applications in glaciology Subglacial hydro-mechanical processes Publications: Recent studies emphasize Arctic glacier stability, ocean-glacier coupling, and volcano-plume dynamics. Key contributions include quantifying meltwater runoff in Svalbard and optimizing volcanic plume models.

Arne Bang Husebyمشاهده پروفایل

استاد

• Risk Analysis
• Stochastic Modeling
• Environmental Contours
• +۴ مورد دیگر

Arne Bang Huseby is a **Professor** at the **University of Oslo** within the **Department of Mathematics**, specializing in **Risk and Stochastics**. His research focuses on **risk analysis, stochastic modeling, environmental contours, and reliability engineering**, with applications to **aviation safety, marine engineering, and insurance mathematics**. He has contributed significantly to **environmental contour methodologies** for structural design and safety assessment, particularly in marine and offshore contexts. His work integrates machine learning (e.g., XGBoost) for predicting runway conditions and optimizing reinsurance contracts. Key areas include **multistate systems**, **time-dependent risk**, and **climate change impacts on wave climates**. His research has been published in top journals like *Ocean Engineering*, *Reliability Engineering & System Safety*, and *Cold Regions Science and Technology*. Collaborations span academia and industry, addressing challenges in aviation, energy production, and operational risk management. He is affiliated with the **Stochastics of Renewable Energy Markets (STORE)** research group, contributing to interdisciplinary projects on risk assessment and decision support systems.

Rania Fahim Hassan Ibrahim Elgazzarمشاهده پروفایل

دانشیار

• Cloud Computing
• Information Security
• Blockchain Technology
• +۲ مورد دیگر

Rania Elgazzar is Associate Professor in Systems Development at the University of Agder's Department of Information Systems. Her expertise spans cloud computing, blockchain applications, and information security in emerging technologies. Elgazzar researches adoption challenges of transformative technologies, with publications on GDPR compliance, health informatics, and smart city implementations. She teaches object-oriented programming, database systems, and algorithms, while supervising projects in IT systems development. Current work includes fault diagnosis in electric vehicle powertrains using AI and multi-classifier systems. Elgazzar has developed courses on social engineering and NSM principles for aviation professionals.

• Temporary Organizations
• Entrepreneurship
• Management Control
• +۵ مورد دیگر

Andreas Erich Wald is a Professor of Strategy at the School of Business and Law, University of Agder. He holds a Master’s and PhD in Political Science and Business Administration from the University of Mannheim, followed by a Habilitation (venia legendi) in Business Administration from EBS Universität für Wirtschaft und Recht (Germany). His research focuses on temporary organizations, entrepreneurship, management control, and innovation. He has authored/co-authored numerous books and articles in top-tier journals. Previously, Wald served as Assistant Professor at EBS University, Dean of Research at European Business School Paris, and Director of Studies at EBS. He teaches strategy and international management at undergraduate and graduate levels, including courses like ORG449 Strategy and ME-302 Bachelor Thesis. Education: Master’s in Political Science & Business Administration, University of Mannheim (Germany) PhD in Business Administration, University of Mannheim Habilitation (venia legendi), EBS Universität für Wirtschaft und Recht (Germany) Research Interests: His work explores projectification, crowdfunding dynamics, management control systems, and the impact of temporary organizations on innovation. Recent studies include the role of psychological capital in mitigating project work stress and the evolution of projectification across Germany, Norway, and Iceland. He also investigates cultural intelligence’s role in SME internationalization and digital transformation in construction client organizations. Publications: Over 100 articles in journals like International Journal of Project Management , Technological Forecasting and Social Change , and Management International Review . Themes include equity investor decision-making, process control systems, and crowdfunding loyalty dynamics. His work bridges strategic management theory with practical organizational challenges. Labs/Teams: Engaged in cross-disciplinary collaborations on projectification, digital transformation, and entrepreneurial ecosystems through the Department of Management and Innovation at UiA.

Christian Webersikمشاهده پروفایل

استاد

• Crisis Management
• Climate Change and Security
• Natural Hazards
• +۳ مورد دیگر

Christian Webersik is a full Professor at the Department of Global Development and Planning, University of Agder, Norway, and Deputy Director of the Centre for Integrated Emergency Management (CIEM). His research focuses on crisis management, climate change security implications, disaster diplomacy, and technology applications in disasters. He holds a visiting scholar appointment at UC Berkeley and has held fellowships at institutions including UNU-IAS in Japan. Education & Positions: PhD (implied via academic career progression) Postdoctoral Fellowships at Columbia University (2005–2007) and United Nations University (2007–2009) Associate Professor at University of Agder (2009–2016) Research Interests: Crisis management frameworks and technology integration Climate-driven migration and conflict dynamics Disaster diplomacy in geopolitically tense regions Social media analysis for crisis response Recent work emphasizes misinformation mitigation on social media, systemic risks in food security, and Norway-Russia Arctic disaster cooperation. Key Contributions: Developed methodologies for disaster diplomacy analysis Advanced frameworks linking climate change to migration patterns Authored influential studies on Somalia's conflict-economy nexus Labs & Teams: Active in CIEM, collaborating with international researchers on crisis simulation and technology applications.

Alireza David Anisiمشاهده پروفایل

دانشیار

• Autonomous Systems
• Robotics
• Agri-tech
• +۷ مورد دیگر

Alireza David Anisi is an Associate Professor at the Department of Engineering Sciences , University of Agder. With a PhD in Optimization and Systems Theory and an M.Sc. in Engineering Physics, he specializes in autonomous systems and robotics , particularly in agri-tech and harsh environments . His industrial experience spans 15+ years in defense and oil & gas sectors. Academic Background: PhD: Optimization and Systems Theory M.Sc.: Engineering Physics Research Interests include formal verification and learning for autonomous systems, combinatorial optimization for multi-robot task/path planning, computational optimal control for trajectory optimization, and nonlinear observer design. His work bridges academic research with industrial R&D. Selected Publications highlight trends in robotics safety assurance, formal verification methods, and industry-specific applications (defense, oil & gas, agriculture). Recent works focus on runtime verification in ROS 2 and RoboStar technology integration. Patents: Power system optimization (EP18162642.5, 2018) Mechanical grip system (SE1300179, 2013) Sensor arrangement for machine vision (WO2014026711, 2012) Tool changer for explosive environments (WO2012007188, 2011) Industrial robot control method (EP2466404, 2010) Harsh environment mobile robot (WO2011107137, 2010) Anisi contributes to the Robotics and Automation research group, focusing on real-world applications in agriculture, energy, and industrial sectors. He teaches MAS221 Industrial IT and Robotics and emphasizes collaboration between academia and industry.