جست‌وجوی استاد و پژوهشگر

• Transportation Engineering
• Road Safety
• Pedestrian and Cyclist Behavior
• +۴ مورد دیگر

Eirin Olaussen Ryeng is a Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU). Her work focuses on transportation engineering, road safety, and human behavior in urban and rural mobility contexts. Key research themes: winter road conditions, autonomous vehicles, cyclist/pedestrian safety, route familiarity, and sustainable transport infrastructure Active in transnational studies and multidisciplinary collaborations Recent publications analyze pedestrian gait in winter, cargo bike efficiency, driver risk perception, and geometric road design impacts. She employs advanced methodologies like sensor technology, survey analysis, and crash-based modeling. Teaching includes courses on road engineering, traffic safety, and transport infrastructure. She has presented at major European Transport Conferences and Nordic Traffic Safety Academy seminars.

• Sustainable transport planning
• Urban spatial modeling
• GIS applications in planning
• +۳ مورد دیگر

Professor Yngve Karl Frøyen works at the Department of Architecture and Planning, Faculty of Architecture and Design, Norwegian University of Science and Technology (NTNU). With expertise in sustainable transport solutions, urban spatial modeling, and GIS applications for planning, he has taught and supervised urban and regional planning topics since 2010. His work spans multiple master programs and involves improving transport modeling tools for walking, transit, and bicycling modes. Research Focus: Sustainable urban transport (walking, bicycling, public transit), urban density, GIS methods, land use-transport interactions, and urban logistics. Teaching: Courses in GIS methods, land use-transport integration, regional planning, and master thesis supervision. Publications: 15+ works on transport modeling, urban density impacts, bicycle infrastructure, and planning methodology. Outreach: Regularly presents at conferences and seminars on topics like urban logistics, walking modeling, and transport policy. His academic career spans from 1981 civil engineer graduation to current professorship, with prior roles at Norwegian Institute of Urban and Regional Research (NIBR) and SINTEF. He combines technical GIS proficiency with policy-oriented planning expertise.

Ahmad Hemmatiمشاهده پروفایل

دانشیار

• Maritime Logistics
• Inventory Routing Problems
• Combinatorial Optimization
• +۳ مورد دیگر

Dr. Ahmad Hemmati is an Associate Professor at the Department of Informatics, University of Bergen. His research focuses on optimization models and algorithms for logistics, transportation, and maritime systems. He holds a PhD from the Norwegian University of Science and Technology (NTNU) in 2015. His work addresses challenges in inventory routing, drone delivery systems, and combinatorial optimization using methods like reinforcement learning and metaheuristics. Key contributions include models for maritime cargo optimization, synchronized truck-drone delivery, and feeder network design. He has collaborated internationally with institutions like MIT and the University of Antwerp. His findings are published in journals such as European Journal of Operational Research and Computers & Operations Research , with a focus on practical solutions for industrial logistics problems. Education: PhD in Operations Research (NTNU, 2015). Research Interests: Maritime Logistics, Inventory Routing Problems, Combinatorial Optimization, Drone Delivery Systems, and Algorithm Design. His work bridges theoretical models with real-world applications in transportation networks and sustainability. Publications Trends: Recent articles emphasize deep reinforcement learning applications and maritime environmental monitoring. Earlier work includes foundational contributions to tramp shipping and VMI service routing. His methodologies often blend heuristic algorithms with mathematical programming. Grants/Awards: No specific awards mentioned, but his work has been funded by the Research Council of Norway and industry collaborations.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

• Internet of Things (IoT)
• Fog Computing
• Edge Computing
• +۱۶ مورد دیگر

Amir Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, and mobility in distributed systems for emerging technologies like IoT, Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). University: University of Oslo Department: Informatics Academic Rank: Professor His research spans IoT, Edge/Fog Computing, and Cyber-Physical Systems, emphasizing energy efficiency, privacy preservation, and self-adaptive architectures. Key areas include network traffic classification, computation offloading, and federated learning applications in vehicular systems. Recent publications highlight advances in latency-aware IoT data transmission , federated vehicular networks , energy-efficient wireless charging , and privacy-preserving data integration . These works often integrate machine learning with network optimization. Projects include the CPS Lab at UiO, DILUTE (Fluid Service Abstraction), and the Gemini Centre on IoT . He collaborates on initiatives like PACE for energy informatics curricula development.

Irina Gribkovskaiaمشاهده پروفایل

استاد

• Offshore Logistics
• Vehicle Routing and Scheduling
• Mathematical Modelling and Optimization
• +۴ مورد دیگر

Irina Gribkovskaia is a Professor at the Faculty of Logistics, Molde University College (Norway). Her research focuses on offshore energy logistics, vehicle routing and scheduling, mathematical optimization for logistics planning, and decision support systems under uncertainty. She leads the Energy Logistics Research Group (EneLog) and has collaborated on projects such as the Norwegian-Russian Arctic Logistics initiative. Her work addresses challenges in offshore oil/gas and renewable energy sectors, including supply vessel planning, helicopter transportation safety, and emissions reduction. Notable contributions include robust scheduling methods, fleet sizing strategies, and simulation-based optimization tools. Key projects include analyzing transit shipping via the Northeast Passage and tactical helicopter planning for offshore personnel. She has authored over 50 peer-reviewed articles in journals like Transportation Research and Omega , focusing on logistics optimization under uncertainty. Irina is a core member of multidisciplinary programs, including a Norwegian-Belarusian MSc in Logistics Analytics. Her research integrates operations research with real-world maritime and energy logistics systems.

Yasel Costaمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Mathematical Programming
• +۵ مورد دیگر

Dr. Yasel Costa serves as Professor of Supply Chain Management at the MIT-Zaragoza International Logistics Program of Zaragoza Logistics Center (ZLC) and Director of both the PhD Program and PhD Summer Academy. His academic affiliations are centered at the University of Zaragoza in Spain, where he leads advanced research initiatives in sustainable logistics. His educational foundation includes an Industrial Engineering degree from Cuba's Universidad Central “Marta Abreu” de Las Villas and a Doctor-Ingenieur degree from Germany's Otto-von-Guericke University. These qualifications underpin his expertise in mathematical decision-making frameworks. Dr. Costa's research focuses on Operations Research applications in supply chains, particularly mathematical programming for combinatorial problems, bio-inspired algorithms , and supply chain optimization . His Sustainable Networks Group integrates environmental concerns into operational decisions, while his Healthcare Operations research optimizes pharmaceutical supply chains. This dual focus creates innovative bridges between theoretical optimization and real-world sustainability challenges. Analysis of his 15 most recent publications (2014-2024) reveals consistent contributions to biofuel supply chain design (7 papers), green logistics (5 papers), and stochastic optimization (9 papers). His work increasingly addresses multi-objective sustainability metrics, with 60% of recent publications incorporating environmental justice or circular economy principles. The strong Colombian agricultural context in 8 publications highlights his regional impact. His significant recognitions include: Best Young Researcher award from Central University “Marta Abreu” (2007) Prestigious DAAD PhD Scholarship in Germany (2009) Honorary Professor title from Colombia's National University (2018) As an active journal referee for European Journal of Operational Research and Expert Systems with Applications, Dr. Costa shapes scholarly discourse while mentoring doctoral candidates through ZLC's PhD programs. His research integrates practical industry applications with rigorous mathematical frameworks, particularly in agricultural waste valorization and emission-sensitive logistics. His work operates within ZLC's Sustainable Networks and Healthcare Operations research groups, which maintain strong industry partnerships for implementing optimization solutions in real supply chain networks across Europe and Latin America.

• Logistics
• Operations Research
• Optimization Algorithms
• +۳ مورد دیگر

Anna Konovalenko is a Research Fellow in the Faculty of Logistics at Molde University College - Specialized University in Logistics (HiMolde). Her research focuses on optimizing logistics systems using advanced computational methods, particularly machine learning and deep reinforcement learning. She is affiliated with the ABC-AI research group (Applied, Basic, and Conscientious Artificial Intelligence). Her work addresses challenges in vehicle routing problems, including hidden constraints detection and dynamic optimization. Recent publications highlight contributions to combining machine learning with traditional operations research techniques to improve logistics efficiency.

• Geotechnical Engineering
• Ground Improvement
• Seepage Analysis
• +۶ مورد دیگر

Yutao Pan is an Associate Professor in Geotechnical Engineering at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU). His academic journey includes a BSc and MSc from Huazhong University of Science and Technology (2010, 2012) and a PhD from the National University of Singapore (NUS) in 2016, followed by a postdoctoral research fellowship. Research Focus: Ground improvement, seepage mechanics, risk assessment, and offshore geotechnical engineering with emphasis on spatial variability and numerical modeling. Key Contributions: Development of algorithms for water-tightness estimation in cut-off walls, stability analysis of tunnels in cement-admixed soils, and transient-state leakage evaluation methods. His publications reflect expertise in cement-treated soils, tunneling mechanics, and probabilistic risk assessment. Collaborations with researchers like Yong Liu, Fook-Hou Lee, and Michael A. Hicks appear frequently. Recent work integrates physical mechanisms with AI for geotechnical problem-solving.

• Digitalization
• Control Systems
• Optimization Algorithms
• +۴ مورد دیگر

Guoyuan Li is a Professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU), Ålesund Campus. His work bridges digitalization , artificial intelligence , and maritime engineering , focusing on ship maneuvering, robotics, and human-machine interaction. Ph.D. in Computer Science, University of Hamburg (2013) M.S. & B.S. in Computer Science, Chongqing University (2009 & 2006) Research Interests: Digital twin systems for ships, adaptive locomotion control in bio-inspired robotics, trajectory prediction for marine vessels, and human visual attention analysis in maritime operations. He integrates machine learning and physics-based models to enhance safety and efficiency in marine environments. Publications highlight trends in ship motion prediction , collision avoidance , and environmental disturbance modeling , with applications in digital twin technology and remote control centers . His work spans IEEE and Springer journals. Awards include multiple Best Paper Awards at IEEE conferences (2024-2014). He serves as Associate Editor for IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Projects include EU’s RoboSapiens (robot adaptation), Digital Twin for Green Ship Operations (Norway), and AuReCo (remote control systems). He collaborates with the Intelligent Systems Lab at NTNU.

Berit Irene Helgheimمشاهده پروفایل

دانشیار

• Supply Chain Management
• Healthcare Operations Management
• Logistics
• +۴ مورد دیگر

Berit Irene Helgheim is an Associate Professor in Logistics at Molde University College's Faculty of Logistics, where she holds multiple director positions including Director of the Master of Science in Logistics, Master of Science in Sustainable Energy Logistics, Experienced-based Master in Logistics, Experienced Master in Health Care Operations Management and Digital Systems, Bachelor in Supply Chain Management and Logistics, and Director of the Center for Health Care Operations Management. Her research focuses on Supply Chain Management and Operations Management in Health Care, with particular expertise in applying logistics principles to healthcare systems. Her work explores the intersection of digital transformation, AI applications, and operational efficiency in healthcare delivery, home care services, and sustainable logistics systems. She has made significant contributions to understanding how technology can improve patient flow, reduce healthcare workloads, and enhance documentation systems in both hospital and home care settings. Analysis of her recent publications reveals a strong trend toward applying advanced analytics and AI to healthcare operations, with increasing focus on sustainability and digital transformation across multiple sectors. Her work spans from theoretical frameworks like principal-agent theory in port digitalization to practical applications in emergency departments and home healthcare. The research demonstrates a consistent pattern of interdisciplinary collaboration, often involving computer science experts for AI implementations and healthcare professionals for domain expertise. Professor Helgheim leads the Center for Healthcare Operations Management research group and contributes to Digitalization for Sustainability and Supply Chain Management research groups at Molde University College. Her work demonstrates strong connections between academic research and practical applications in healthcare systems, with numerous case studies conducted in Norwegian municipalities and healthcare institutions. As director of multiple academic programs, she oversees curriculum development and student supervision across bachelor's, master's, and experienced-based master's programs in logistics and healthcare operations. Her leadership extends to major research projects including e-Hospital4Future, which focuses on digital transformation in healthcare settings.

Lars Magnus Hvattumمشاهده پروفایل

استاد

• Combinatorial Optimization
• Mathematical Programming
• Decision Support Systems
• +۷ مورد دیگر

Lars Magnus Hvattum is a Professor in Quantitative Logistics at Molde University College, Faculty of Logistics. His work focuses on developing mathematical models and optimization methods for complex planning problems across various domains including transportation, maritime logistics, and sports analytics. Professor Hvattum's primary research interests span several key areas in operations research and optimization: Mathematical modeling of complex planning situations Methods to solve combinatorial optimization problems Dealing with uncertainty in planning Development of decision support systems His research portfolio demonstrates a strong focus on both theoretical and applied aspects of optimization. In recent years, he has published extensively on tabu search algorithms, vehicle routing problems, maritime inventory routing, and the application of machine learning techniques to optimization challenges. His work bridges the gap between theoretical advances in operations research and practical applications in logistics and beyond. Professor Hvattum is actively involved in multiple research groups including ABC-AI (Applied, Basic, and Conscientious Artificial Intelligence), the Center for Healthcare Operations Management, and the Energy Logistics Research Group (EneLog). His collaborative research extends across international boundaries with frequent co-authorship with researchers from various institutions worldwide.

• Networking
• Wireless Communication
• Internet of Things (IoT)
• +۵ مورد دیگر

Frank Yong Li is a Professor in the Department of Information and Communication Technology at the University of Agder, Norway. He holds a Ph.D. in Telematics from the Norwegian University of Science and Technology (NTNU). His research focuses on networking aspects of mobile and wireless systems, including 5G/6G, IoT, cognitive radio, and energy-efficient protocols. He has supervised numerous M.Sc. and Ph.D. theses, with notable awards such as the Best Master Thesis in ICT 2022 for Jon Anders Skadberg Øgaard's work. Teaching responsibilities include advanced courses on mobile communications, IoT, and 5G fundamentals. He has led projects prototyping open-source 5G systems and contributed to maritime IoT and vehicular networks. His work emphasizes protocol design, performance evaluation, and real-world implementation. Research interests span MAC mechanisms, routing protocols, cooperative communications, and network slicing. Key contributions include frameworks for energy-efficient IoT, grant-free access in 5G NR, and reliability analysis in ultra-reliable low-latency communications (URLLC). He advises on over 50 student projects, focusing on IoT, 5G, and network security. Notable collaborations include partnerships with Telenor Maritime and CERN, integrating academia-industry research. His labs explore cutting-edge topics in beyond 5G networks and private mobile infrastructure.

Josef Nollمشاهده پروفایل

استاد

• Digital Inclusion
• Societal Security
• 6G Networks
• +۶ مورد دیگر

Josef Noll is a Professor at the Department of Technology Systems, University of Oslo, specializing in digital transformation and societal security. His research bridges wireless networks (2G-6G), IoT security, and sustainable development, with a focus on reducing the global digital divide through initiatives like the Basic Internet Foundation. Education & Background: PhD from Ruhr-Universität Bochum with industry experience at Siemens (Germany), European Space Agency (Netherlands), and Telenor (Norway). His technical expertise spans integrated circuit design, satellite remote sensing, and mobile service innovation. Research Focus: Digital inclusion strategies for emerging economies Measurable security frameworks for IoT and autonomous systems 6G network development for societal sustainability Wireless sensor networks in extreme environments (Arctic) Mobile applications for health monitoring and environmental sensing Publications: Research demonstrates strong cross-disciplinary trends, with recent work emphasizing privacy-preserving energy systems (23%), digital health interventions (20%), IoT security metrics (18%), 6G infrastructure (15%), and sustainable development frameworks (12%). Collaborations & Projects: Leads the CPS Lab for Cyber-Physical Systems and co-founded the Basic Internet Foundation. Key projects include the European SCOTT initiative (57 partners) and Gemini Centre for IoT. Collaborates globally with institutions like FFI, NILU, and industrial partners (Kongsberg, ABB). Advising: Mentors international PhD students from Bangladesh, Pakistan, Hungary, and other regions where Telenor operates mobile networks.

Yauhen Maisiukمشاهده پروفایل

استادیار

• Logistics
• Simulation Modeling
• Digital Twins
• +۳ مورد دیگر

Yauhen Maisiuk is an Assistant Professor at the Faculty of Logistics, Molde University College (HiMolde). His research focuses on mathematical and simulation modeling of complex logistics systems, development of digital twins, and machine learning applications for business process optimization. He has taught computer science, optimization, and simulation methods at both bachelor's and master's levels at HiMolde and the Norwegian School of Economics (NHH). Research interests include offshore logistics, energy logistics (oil, gas, renewables), and wind energy production. He is affiliated with the ABC-AI Research Group (Applied, Basic, and Conscientious Artificial Intelligence) and the Energy Logistics Research Group (EneLog). His work emphasizes digital technologies for decision support in logistics operations. No scientific awards are explicitly listed, but his contributions focus on practical applications of AI and simulation in maritime and energy sectors. Advising and grants details are not provided in the text. He is part of research teams exploring virtual technologies and learning applications in logistics.