• Humanoid Robots as Learning Assistants? Useability Perspectives of Grade 6 Students 

  Tilden, Solveig; Parish, Karen; Mishra, Deepti; Lugo, Ricardo Gregorio; Andersen, Per Normann (Journal article; Peer reviewed, 2024)

  Despite the increasing number of robots in educational settings, they are relatively new, with ambiguous research findings regarding a robot’s influence on students’ learning, psychosocial aspects, and gender differences. ...

• Discovering Best Practices for Educational Video Conferencing Systems 

  Talmo, Tord Mjøsund; Fominykh, Mikhail (Chapter, 2023)

  Digitalization of higher education is amongst the most important and most researched areas in recent years. The COVID19 pandemic ensured rapid movement into less known environments of the digitization process, online ...

• On Hardware-Aware Design and Optimization of Edge Intelligence 

  Huai, Shuo; Kong, Hao; Luo, Xiangzhong; Liu, Di; Subramaniam, Ravi; Makaya, Christian; Lin, Qian; Liu, Weichen (Journal article; Peer reviewed, 2023)

  In this article, the authors explore recent efforts in hardware-aware design and optimization for edge intelligence. The article focuses on techniques such as model compression and neural architecture search to enhance ...

• An Intelligent User Plane to Support In-Network Computing in 6G Networks 

  Schwarzmann, Susanna; Trivisonno, Riccardo; Lange, Stanislav; Civelek, Tugce Erkilic; Corujo, Daniel; Guerzoni, Riccardo; Zinner, Thomas Erich; Mahmoodi, Toktam (Chapter, 2023)

  Driven by the development of programmable networking hardware, In-network Computing (INC) has gained a considerable amount of attention in recent years. However, INC has so far barely been studied in the context of mobile ...

• Verifiable Mix-Nets and Distributed Decryption for Voting from Lattice-Based Assumptions 

  Aranha, Diego F.; Baum, Carsten; Gjøsteen, Kristian; Silde, Tjerand Aga (Journal article; Peer reviewed, 2023)

  Cryptographic voting protocols have recently seen much interest from practitioners due to their (planned) use in countries such as Estonia, Switzerland, France, and Australia. Practical protocols usually rely on tested ...

• Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization 

  Huai, Shuo; Liu, Di; Kong, Hao; Liu, Weichen; Subramaniam, Ravi; Makaya, Christian; Lin, Qian (Journal article; Peer reviewed, 2022)

  Deep learning applications have been widely adopted on edge devices, to mitigate the privacy and latency issues of accessing cloud servers. Deciding the number of neurons during the design of a deep neural network to ...

• Indirect Model Predictive Control with Sparse Nonlinear Regression on Erdös-Rényi-generated Bernoulli-SIR Network Models 

  Hjulstad, Jonas Bagøien; Hovd, Morten (Journal article; Peer reviewed, 2023)

  Epidemiological modeling is important in order to be able to predict and mitigate the consequences of epidemics. Disease transmission network models can be used to model epidemics on a detailed level, which in turn can ...

• Singularity-free Formation Path Following of Underactuated AUVs 

  Matous, Josef; Pettersen, Kristin Ytterstad; Varagnolo, Damiano; Paliotta, Claudio (Journal article; Peer reviewed, 2023)

  This paper proposes a method for formation path following control of a fleet of underactuated autonomous underwater vehicles. The proposed method combines several hierarchic tasks in a null space-based behavioral algorithm ...

• Dynamic model of a tendon-actuated snake robot using the Newton-Euler formulation 

  D'Antuono, Gianluca; Pettersen, Kristin Ytterstad; Buonocore, Luca Rosario; Gravdahl, Jan Tommy; Di Castro, Mario (Chapter, 2023)

  Dynamic models are necessary when dealing with robotic applications where requirements of dexterity, manipulability, payload and compliance have to be satisfied at the same time. This work considers a particular design of ...

• Dark Finance: Exploring Deceptive Design in Investment Apps 

  Rakovic, Ivana; Inal, Yavuz (Journal article; Peer reviewed, 2023)

  This study aimed to explore how financial technology companies employed dark patterns to influence investors’ financial decision-making and behavior. We examined 26 mobile apps that are available in Norway and allow users ...

• A Static FEA Framework for Fast Analysis of HTS Armature Windings in AC Superconducting SMPM Machines 

  Hartmann, Christian Magnus; Mellerud, Runar; Nøland, Jonas Kristiansen; Nilssen, Robert Kristoffer (Journal article; Peer reviewed, 2023)

  Macroscopic superconductivity models have improved significantly over the last decades. Formulations and methods have been developed to faster solve problems involving high-temperature superconductors (HTS). Despite these ...

• Homogeneous Parametric Modeling of Airloads 

  Matras, Finn; Reinhardt, Dirk Peter; Gryte, Kristoffer; Pedersen, Morten Dinhoff (Journal article; Peer reviewed, 2023)

• Runtime Evolution of Bitcoin's Consensus Rules 

  Notland, Jakob Svennevik; Nowostawski, Mariusz; Li, Jingyue (Journal article; Peer reviewed, 2023)

  The runtime evolution of a system concerns the ability to make changes during runtime without disrupting the service. Blockchain systems need to provide continuous service and integrity. Similar challenges have been observed ...

• Security Model for Privacy-Preserving Blockchain-Based Cryptocurrency Systems 

  Raikwar, Mayank; Wu, Shuang; Gjøsteen, Kristian (Lecture Notes in Computer Science;13983, Chapter, 2023)

  Privacy-preserving blockchain-based cryptocurrency systems have become quite popular as a way to provide confidential payments. These cryptocurrency systems differ in their designs, underlying cryptography, and confidentiality ...

• Efficient FPGA-Based Sparse Matrix-Vector Multiplication With Data Reuse-Aware Compression 

  Li, Shiqing; Liu, Di; Liu, Weichen LiuDi (Journal article; Peer reviewed, 2023)

  Sparse matrix–vector multiplication (SpMV) on FPGAs has gained much attention. The performance of SpMV is mainly determined by the number of multiplications between nonzero matrix elements and the corresponding vector ...

• A review of taxonomies of cybersecurity educational games 

  Weeratunge, Nipuna Hiranya; Hjelsvold, Rune (Journal article; Peer reviewed, 2023)

  Presently, cybersecurity awareness is an essential skill expected from all audiences that range from small children to older adults. Moreover, serious games and gamification has been used in cybersecu- rity education for ...

• An exploratory analysis of the last frontier: A systematic literature review of cybersecurity in space 

  Kavallieratos, Georgios; Katsikas, Sokratis (Journal article; Peer reviewed, 2023)

  Nowadays, assets in space are vital for the provision of critical societal functions such as transportation, communication, production and supply of food, agriculture, etc. The increasing adoption of services provided by ...

• Symptom-based survey diagnoses may serve to identify more homogenous sub-groups of fatigue and postviral diseases 

  Wold, Bjørn K.; Tveito, Kari; Angelsen, Arild; Bringsli, Gunn Jolanthe; Berglund, Frode; Gustavsen, Margrethe; Andersen, Gro Mesna; Strand, Elin Bolle (Journal article; Peer reviewed, 2024)

  Background and objective: A range of diagnostic criteria are applied for the heterogenous patient group with fatigue or postviral fatigue syndromes with or without Post Exertional Malaise (PEM). We explored whether DePaul ...

• “They don’t take notes!” Tensions perceived by first-line workers in an action research project 

  Lebesby, Kristin; Benders, Jos (Peer reviewed; Journal article, 2023)

  Purpose This study aims to emphasize the importance of taking into account the perspectives of prospective participants and identifying potential tensions in action research. Design/methodology/approach This paper ...

• Adaptive Data-driven Predictor of Ship Maneuvering Motion Under Varying Ocean Environments 

  Wang, Tongtong; Skulstad, Robert; Kanazawa, Motoyasu; Hatledal, Lars Ivar; Li, Guoyuan; Zhang, Houxiang (Chapter, 2022)

  Modern marine vessels operate increasingly autonomously, enabled by the strong interaction between data acquisition and analysis. The data-driven technology has been widely applied and significantly benefits maritime ...

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