جست‌وجوی استاد و پژوهشگر

• 6G Networks
• Wireless Communications
• UAV/Drone Communications
• +۷ مورد دیگر

Tu Dac Ho is an Associate Professor at the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU), a position he has held since 2023. Concurrently, he serves as Associate Professor at the Arctic University of Norway (UiT) since 2019. He holds MSc (2005) and PhD (2011) degrees in wireless communications from Waseda University, Japan. His professional background includes positions as Assistant Professor at Waseda University (2011-2012), Postdoctoral Fellow at NTNU (2012-2014), and Senior Researcher at SINTEF Norway (2014-2018). Dr. Ho's research develops communication protocols for autonomous vehicles, energy-constrained IoT networks, non-terrestrial network integration, and 6G systems including satellite-air-ground networks. His expertise spans: UAV/drone communications and network optimization Machine learning applications in wireless systems Satellite and maritime communications Visible light communication (VLC) for vehicular networks Energy harvesting for IoT devices His recent publications (2023-2025) demonstrate strong focus on 6G technologies, UAV communication systems, V2X security, visible light communication, and AI-driven network optimization. Research consistently addresses performance enhancement under real-world constraints including arctic conditions, mobility challenges, and security threats. Dr. Ho leads significant research initiatives including: Real-Time Remote Drone Control with 5G Video Streaming (PI, 3M NOK) Ambient Intelligence Infrastructure (Norway PI, 36M NOK) HE4T Energy Harvesting Solutions (Norway PI, 2.5M EUR) Participation in CubeSat and Student Satellite projects

Peter André Buschمشاهده پروفایل

دانشیار

• Technology and Decision-Making
• Public Sector Technology
• Generative AI
• +۳ مورد دیگر

Peter André Busch is an Associate Professor at the Department of Information Systems, University of Agder, Norway. His research focuses on technology's societal impacts, particularly in public sector contexts, decision-making processes, and generative AI ethics. He holds a Master's in Information Systems and dual Bachelor's degrees in IT & Information Systems (University of Agder) and Theology (Ansgar Theological College). He teaches three core courses: IS-115 Web Programming in PHP, TFL102/119 IT and Society, and Research Methodology. His academic work emphasizes qualitative and quantitative methods, especially PLS-SEM analysis. Research interests include digital discretion in public services, problematic technology use, e-government frameworks, and human-centered AI applications. He participates in research groups such as CIEM (Integrated Emergency Management), CeDiT (Digital Transformation), and HCAI (Human-Centered AI). Recent publications analyze AI's role in bureaucratic decision-making, autonomous technology acceptance, and generative AI capabilities. No scientific awards are listed, but his work demonstrates strong theoretical contributions to digital government and IS research. Advising: No formal advisees listed. Grants and funding details are not explicitly mentioned. Active in research teams exploring crisis management technologies and digital governance innovations. Labs/Teams: Member of CIEM, CeDiT, and HCAI research centers focused on emergency systems, digital transformation strategies, and ethical AI implementation in public institutions.

• Cloud Computing
• Virtualization
• System Administration
• +۲ مورد دیگر

Kyrre Matthias Begnum is an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on cloud computing infrastructure, virtualization technologies, and efficient resource management in distributed systems. Dr. Begnum's work explores optimization techniques for cloud environments, including load distribution algorithms and virtual machine management strategies. He has contributed significantly to unikernel development through the IncludeOS project, enabling highly efficient cloud services. His recent publications address security challenges in machine learning-based intrusion detection systems and network reconfiguration in high-performance computing environments. He teaches courses on robust service development and system administration. His outreach includes educational podcasts on problem-solving methodologies in technology and computing.

Mateus De Oliveira Oliveiraمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Automated Theorem Proving
• Parameterized Complexity
• +۳ مورد دیگر

Mateus De Oliveira Oliveira is an Associate Professor in the Department of Informatics at the University of Bergen. His research focuses on theoretical computer science, automated theorem proving, parameterized complexity, formal verification, graph theory, and computational logic. His work spans algorithm design for constraint satisfaction problems, automated reasoning systems, and formal verification techniques. Notable contributions include advancements in width-based automated theorem proving, Petri net synthesis, and parameterized complexity analysis for graph algorithms. He leads the Autoproving project funded by the Research Council of Norway, exploring automated theorem proving through parameterized complexity theory. Recent publications highlight developments in symbolic functional decomposition, state canonization for theorem proving, and optimal dynamic programming algorithms. His research bridges foundational theory with practical applications in automated systems and formal methods.

• Robotics
• Resilient Robotic Autonomy
• Robot Control
• +۵ مورد دیگر

Prof. Konstantinos Alexis is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU). His research focuses on resilient robotic autonomy, emphasizing robot control, path planning, and Simultaneous Localization and Mapping (SLAM). He leads major international grants from agencies like DARPA, NSF, and the Norwegian Research Council, advancing autonomous systems for extreme environments such as subterranean exploration and search-and-rescue operations. His work integrates advanced control strategies with field robotics, demonstrated through projects like the DARPA Subterranean Challenge. Key contributions include robust model predictive control for UAVs, contact-based inspection planning, and graph-based exploration path planning. Alexis has organized workshops on aerial robotics at top conferences like ICRA and ICUAS, and his team develops open-source tools for robotics autonomy. Award-winning publications include the IET 2014 Premium Award and multiple best-paper recognitions. His research extends to solar-powered UAVs, thermal-inertial localization, and multi-modal sensor fusion for degraded environments. The Autonomous Robots Lab at NTNU is central to his research activities.

• International Business Strategy
• Global Value Chains
• Information Systems Development
• +۳ مورد دیگر

Hans Arthur Solli-Sæther is a Professor of Strategy at the Department of International Business, Norwegian University of Science and Technology (NTNU). He served as Head of Department from 2017-2023 and currently holds visiting positions at ESDES Business School (France) and Politecnico di Milano (Italy). His research focuses on multinational enterprises, global value chains, offshoring/backshoring strategies, and information systems development. Key roles include membership on expert committees, editorial boards, and research project boards. Education: BSc in Mathematics, Statistics, and Computer Science (University of Oslo) MSc in Computer Science (University of Oslo) PhD in Organization and Management (BI Norwegian School of Management) Research Interests: Professor Solli-Sæther explores strategic challenges in international business operations, including cross-border mergers & acquisitions, global supply chain dynamics, and digital transformation. His work bridges theoretical frameworks with practical managerial insights, often addressing how firms navigate complexities in global markets. Current emphases include R&D internationalization trends, production backsourcing strategies, and innovation in public sector digitalization. Grants & Funding: Research Council of Norway (NFR), Regional Research Fund (RFF), and Norwegian private sector contributions. Teaching: International business strategy, project management, digitalization of value creation, and executive programs for industry and public sector leaders. Labs/Teams: Engaged in collaborative research networks on global operations strategy and IT governance through partnerships with European institutions like Politecnico di Milano's HumanTech project.

Sahil Waqarمشاهده پروفایل

پژوهشگر

• Human Activity Recognition
• Radar Sensors
• Machine Learning
• +۳ مورد دیگر

Roles & Affiliations : Sahil Waqar is a Researcher at the University of Agder (UiA), affiliated with the Faculty of Engineering and Science and the Department of ICT. His research specialization is in Mobile and Wireless Communications, focusing on radar-based human activity recognition (HAR) systems. Education : PhD Candidate, University of Agder (2020–2024), Thesis: "A Simulation-Based Framework for the Design of Direction-Independent Human Activity Recognition Systems Using Radar Sensors" Research Interests : Waqar’s work emphasizes advancing simulation-based approaches for radar sensor systems, particularly in overcoming challenges like multi-directional motion and data scarcity. His innovations include distributed MIMO radar configurations, interference mitigation techniques, and deep learning-based activity classification. His paradigm-shifting research reduces reliance on experimental data, enabling scalable and cost-effective HAR solutions. Supervisors : Main supervisor Prof. Matthias Uwe Pätzold (UiA) and co-supervisor Assoc. Prof. Bjørn Olav Hogstad (NTNU). Labs & Teams : Involved in UiA’s Mobile and Wireless Communications research group, focusing on RF sensing and radar system design.

• Sustainable Supply Chain
• Reverse Logistics
• Location and Network Design
• +۷ مورد دیگر

Hao Yu is a tenured Associate Professor and Program Leader for the Master in Industrial Engineering at UiT The Arctic University of Norway , Department of Industrial Technology. His research focuses on real-problem-driven model development and applied operations research for sustainable supply chains, reverse logistics, location/network design, service systems, and smart logistics in Industry 4.0/5.0. He combines predictive , prescriptive , and descriptive analytics in Industry 5.0-enabled Smart Digital Logistics Twins to address challenges in reverse logistics, epidemic logistics, and remanufacturing systems. Current Projects : Industry 5.0 enabled Smart Logistics (2023-2026) - HK-dir/UTFORSK Digital Reverse Logistics Twin 5.0 (2026-2029) - FRIPRO AI for Cyber-Sustainable Engineering Education (2025-2026) - Nordplus Professional Affiliations : NORS (Norwegian Operations Research Society) EWGSSC (EURO Working Group on Sustainable Supply Chains) EWGLA (EURO Working Group on Location Analysis) EURO Working Group on Practice of OR Editorial Roles : Associate Editor - IEEE Transactions on Intelligent Transportation Systems Associate Editor - World Journal of Engineering Editorial Board - Science Progress, Discover Sustainability, Logistics, Eng Teaching Portfolio : SB_ME_IIT_0001_Prosjektledelse (Microcredential, 2026-) INE-3612 Industry X.0 (Master, 2023-) INE-3800 Operations Research 1 (Master, 2022-) INE-3605 Project Management (Master, 2015-2022) TEK-6005 Industry 4.0 (EVU, 2020) INE-3609 Supply Chain Management (Postgraduate, 2019 & 2022-) Hao Yu's recent publications (2022-2025) demonstrate expertise in electric vehicle infrastructure modeling, railway cold chain forecasting, maritime scheduling, and digital twin applications. His work spans optimization/simulation models addressing sustainable logistics, reverse supply chains, and Industry 4.0/5.0 transitions, with case studies focused on Norway and the oil/gas sector.

• High Performance Computing (HPC)
• Cloud Computing
• Interconnection Networks
• +۳ مورد دیگر

Dr. Ernst Gunnar Gran is an Affiliated Researcher at the Simula Research Laboratory , specializing in the Department of High Performance Computing . With a career spanning over a decade, his research focuses on optimizing network performance in large-scale computing environments. PhD in Congestion Management in Lossless Interconnection Networks (2008) Co-developer of the NorNet Core multi-homed research testbed Research Focus Gran’s work addresses critical challenges in: InfiniBand hardware optimization and congestion control Self-adaptive networking for HPC-cloud integration Resource management in multi-tenant clusters Efficient routing algorithms for fat-tree architectures Real-time anomaly detection in time-series data Edge-cloud ecosystem performance modeling Publication Trends His recent research (2020-2022) emphasizes: Distributed traffic prediction using LSTM customization Lightweight anomaly detection frameworks Integration of mobile edge computing with multi-cloud systems Prior work (2015-2018) established foundational advancements in: Fat-tree reconfiguration algorithms Virtualized HPC network architectures Fault-tolerant routing strategies for complex topologies SR-IOV vSwitch implementations Technical Contributions Developed patented network reconfiguration systems Created dynamic cloud architectures with SA query caching Advanced partition-aware routing techniques Optimized load-balancing mechanisms for HPC environments

• Space Engineering
• Earth Observation
• Satellite Communications
• +۳ مورد دیگر

Roger Birkeland is a Researcher at the Department of Electronic Systems , Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering . His work focuses on the design and development of small satellites for Earth observation and communication, with an emphasis on maritime and Arctic applications. Co-founder and former leader of the NTNU Student Satellite Project Key contributor to the establishment of the NTNU Small Satellite Lab Research Interests include: Small satellite systems (CubeSats) Hyperspectral imaging payloads Software-defined radios (SDRs) for space communication Arctic sensor networks Integration of unmanned surface vehicles (USVs) with satellite systems Additive manufacturing for space components Recent publications highlight advancements in: Agile satellite maneuvering for improved imaging On-board processing for hyperspectral data Interference measurement in Arctic radio bands Low-cost prototyping materials via 3D printing

• Information Security
• Communication Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

Amirhosein Taherkordi is an Associate Professor in the Department of Information Security and Communication Technology at NTNU. His research focuses on lightweight adaptation mechanisms in wireless sensor networks (WSNs), emphasizing energy efficiency and reconfigurable component models. He has contributed to the development of adaptable middleware for context-aware systems, evaluated using the Contiki OS. His work addresses challenges in reprogramming and optimizing WSN applications for resource-constrained environments. While no specific educational background is detailed, his affiliations indicate expertise in embedded systems and networked computing. No awards or grants are mentioned in the provided texts, and he has not listed advisees. His research aligns with strategic areas in information security and communication technology at NTNU.

• High Performance Computing
• Cloud Computing
• Interconnection Networks
• +۳ مورد دیگر

Ernst Gunnar Gran is an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), where he leads the communication technology discipline. He also holds an adjunct research scientist position at Simula Research Laboratory, focusing on High Performance Computing (HPC) and cloud computing. Education: M.Sc. and Ph.D. in Computer Science from the University of Oslo (2007, 2014) Research: Intersections of HPC, interconnection networks, enterprise data centers, cloud computing, and data-intensive multi-cloud processing His recent work addresses real-time anomaly detection in IoT systems, traffic speed prediction for transportation networks, and adaptive routing in HPC environments. Articles span machine learning, network security, and distributed computing, with a focus on lightweight, self-adaptive algorithms. Current projects include leadership of the RCN-funded eX3 infrastructure project and contributions to the EU H2020 Melodic initiative. He has designed the NorNet Core testbed and holds patents in network reconfiguration and cloud architecture.

• Computer Architecture
• Parallel Computing
• Evolutionary Computation
• +۳ مورد دیگر

Gunnar Tufte serves as Professor, Deputy Head of Research, and Head of the PhD Program in Computer Science at NTNU's Department of Computer Science. His research focuses on unconventional computing architectures, including vast parallel systems and bio-inspired hardware. He leads the Computer Architecture Lab (CAL) and Computational Magnetic Metamaterials (COMET) group, investigating energy-efficient computation and nanomagnetic systems for novel computing devices. Research Focus: Massively parallel machine architectures Evolutionary computation and evolvable hardware Self-organizing computational substrates (NASCENCE/SOCRATES projects) Nanomagnetic systems (SpinENGINE project) He teaches courses in computer design and digital systems, and supervises master's projects in these domains.

Rudolf Schlatteمشاهده پروفایل

پژوهشگر

• Formal Methods
• Computer Science
• Programming Language Semantics
• +۵ مورد دیگر

Rudolf Schlatte is a Researcher at the Department of Informatics, University of Oslo, affiliated with the Reliable Systems group. He holds a PhD from Graz University of Technology and has extensive experience in formal methods and software systems modeling. His work focuses on concurrent and distributed systems, formal languages, and digital twins. Education and Employment: Master’s degree from Graz University of Technology PhD (2010) at Graz University of Technology Postdoc researcher at Oslo University (2010-2011) Senior Engineer at the University of Oslo since 2011 Research Interests: Schlatte specializes in formal languages for distributed systems, digital twins, concurrency, and resource-aware modeling. His current focus includes correctness in self-adaptive systems and semantic reflection in digital twins. He actively contributes to the ABS modeling language and toolchain. Teaching: He teaches INF2220 (Algorithms and Data Structures) and INF3230 (Formal Modeling and Analysis of Communicating Systems). Publications: Over 40 peer-reviewed articles, primarily in formal methods, distributed systems, and digital twin applications. Recent work emphasizes digital twin reconfiguration, user journey simulation, and pandemic modeling. Lab/Team: Member of the Reliable Systems team, collaborating on projects like BedreFlyt (digital twin for healthcare resource planning) and NebulOuS (cloud computing).

• Artificial Intelligence
• Reconfigurable Hardware
• Robotics
• +۲ مورد دیگر

Roar Skogstrøm is a Lecturer at the University of Oslo's Department of Informatics, affiliated with the Research Group for Robotics and Intelligent Systems. His research focuses on artificial intelligence, robotics, and adaptable systems engineering. His primary research interests include evolutionary computing approaches to hardware design and intelligent robotic systems capable of adaptive behavior in complex environments. Current investigations explore biologically-inspired computing paradigms and their applications in reconfigurable hardware platforms. As a faculty member, he contributes to the academic community through teaching and supervision within the robotics and intelligent systems curriculum.