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Associate Professor Eilif Hugo Hansen works at the Department of Electrical Energy, Norwegian University of Science and Technology (NTNU). His primary research areas are electrical installations and lighting technology, with a focus on energy efficiency, daylight utilization, and applications in aquaculture. He has contributed to standardization committees like NEK/NK64 and IEC TC64, and co-developed the LYSSTYR lighting control software. Department: Electrical Energy School: Faculty of Information Technology, Mathematics, and Electrical Engineering University: Norwegian University of Science and Technology Education includes a Civil Engineering degree (1985) and Doctorate in Engineering (1990) from NTH (now NTNU). He is a certified electrical contractor with expertise in low-voltage systems. Research Highlights : Over 30 years of publications in lighting technology, electrical safety, and energy systems. Key themes include ground fault detection , non-radial electrical networks , and daylight integration in buildings. His work with Lysforsk center and SINTEF collaborations underscores his industry impact. Teaching involves courses like TET4165 Light and Lighting and TET4170 Electrical Installations . He has supervised over 40 master's theses, including topics on smart lighting , power distribution , and energy-saving technologies . Professional Engagement : Member of NEK/NK64 Low-Voltage Installations committee Contributor to IEC TC64 MT12 standards Former head of the Energy Transformation and Electrical Installations program (1997-2000) Co-developer of the LYSSTYR software for simulating daylight rhythms

• Electrical Engineering
• Lighting Technology
• Energy Efficiency
• +6 more

Carsten Wulff is Associate Professor at NTNU's Department of Electronic Systems, focusing on analog CMOS design automation and circuit compilers. Research: Develops software tools for automated analog IC design, including ciccreator—an open-source compiler for generating custom integrated circuits. Aims to simplify analog design workflows through programmable frameworks. Teaching: Leads courses in Advanced Integrated Circuits (AIC) with public lecture notes and YouTube resources. Current focus includes Python-based circuit design tools.

• Analog CMOS Design
• Circuit Design Automation
• Integrated Circuit Compilers
• +2 more

Martin Marie Hubert Choux is an Associate Professor at the Department of Engineering Sciences , University of Agder, Norway. He holds dual M.Sc. degrees in Mechatronic Engineering from École Nationale Supérieure d'Art et Métiers (France) and University of Queensland (Australia), and a Ph.D. in Automatic Control from Technical University of Denmark (2011). Education: M.Sc. in Mechatronic Engineering, École Nationale Supérieure d'Art et Métiers, Paris, 2006 M.Sc. in Mechatronic Engineering, University of Queensland, Brisbane, 2006 Ph.D. in Automatic Control, Technical University of Denmark, Copenhagen, 2011 His research focuses on mechatronics , robotics , and battery recycling , with over 15 recent publications (2024–2019) on: Automated Disassembly of lithium-ion batteries Fault Diagnosis in motor drives using structural analysis and neural networks Efficiency Optimization of electric drivetrains in offshore applications Comparative Studies of hydraulic vs. electric actuation systems AI and Robotics for EV battery recycling Control Algorithms for mechanical systems His work spans robotics , automatic control , and sustainable engineering , contributing to electric vehicle and offshore technology advancements.

• Mechatronics
• Robotics
• Automatic Control
• +4 more

Peyman Mirtaheri is a Professor at the Department of Mechanical, Electronics and Chemistry (MEK) under the Faculty of Technology, Art and Design at Oslo Metropolitan University (OsloMet). He also holds an Adjunct Professor position at the Faculty of Biomedical Engineering at Michigan Technological University, USA. His primary role involves teaching courses such as Medical Sensors and Actuators (ACIT4720) and the upcoming BioInspired Systems (fall 2025). Research Interests: Professor Mirtaheri leads the ADEPT lab (ADvanced hEalth intelligence and brain-insPired Technologies) and ADEPT_technology, focusing on: Developing measurement techniques for brain activity detection and analysis Applying fNIRS (functional near-infrared spectroscopy) and EEG (electroencephalography) to study movement, balance, and cerebral cortex activity Advancing bio-inspired systems and health technology Key Projects: His active research includes Use of 3D printers in future rehabilitation (knowledge-based and patient-centered solutions) and completed work on Brain activity during walking and balance . Labs & Collaborations: He integrates his optical/NIRS laboratory into OsloMet's ADEPT lab, collaborating with institutions like Michigan Technological University and contributing to global conferences such as the IEEE International Symposium on Circuits and Systems and the ISPO World Congress .

• Medical Technology
• Biomedical Engineering
• Optics
• +5 more

Hussein Mahdi Yaseen Al-Sallami is an Associate Professor in the Department of Electrical Technology at UiT The Arctic University of Norway, based in Narvik. His academic position and research activities indicate active engagement in the university's electrical engineering community. His primary research interests include: Wireless Power Transfer Capacitive Power Transfer Maritime Electrification Power Electronics Electromechanical Systems Marine Power Systems Dr. Al-Sallami's research focuses on developing capacitive power transfer systems specifically for challenging environments like underwater and maritime applications. His work bridges theoretical electromagnetic analysis with practical engineering solutions for wireless charging in marine contexts. The research demonstrates strong technical depth in power converter design, efficiency optimization, and system implementation for specialized applications where traditional conductive charging faces limitations. He is actively involved in multiple significant research initiatives: Support on power system design with marine fuel cell systems Wireless AutoCharge FME MarTrans DeHigh Campus Narvik C4260 Dr. Al-Sallami contributes to the Electromechanical systems research group and participates in Mathematics and Science Education (Matematikk- og realfagsdidaktikk) activities, indicating his involvement in both technical research and educational aspects of engineering disciplines. His collaborations with researchers like Bjarte Hoff, Trond Østrem, and Reiji Hattori demonstrate strong interdisciplinary connections within the power electronics field.

• Wireless Power Transfer
• Capacitive Power Transfer
• Maritime Electrification
• +3 more

Dr. Omid Mirmotahari is an Associate Professor at the Department of Informatics , University of Oslo, specializing in teaching and research at the intersection of computer technology , pedagogy , and low-voltage circuit design . He has held academic roles since 2010, including positions in Robotics and Intelligent Systems and Study Lab . Academic Appointments : 2010–present (Associate Professor, Study Lab); 2008–2010 (Associate Professor, Robotics) Education : PhD in Nanoelectronics (2008), Cand.Scient in Microelectronics (2003), Cand.Mag in Computer Science (2002) His research spans two major areas: pedagogy (improving student engagement, peer review systems, and AI integration in education) and nanoelectronics (ultra-low-voltage CMOS logic, domino circuits, and energy-efficient amplifier designs). Recent work focuses on the environmental paradox of AI and gamification for STEM education. His 15 most recent publications (2025–2018) highlight trends in: AI ethics and sustainability Automated feedback systems Low-voltage circuit innovations Peer/self-assessment frameworks STEM outreach programs Digital learning environments (Canvas LMS) Scientific Awards : 2024: UiO Utdanningspris (Education Prize) 2013: Årets Foreleser (Student-Nominated) 2009: Best Paper Award, IMECS 2009: NFA Prize for STEM outreach 2006: NOKUT Utdanningskvalitetspris He actively contributes to student organizations (co-founder of MIKRO, dagen@ifi) and commercialization through board roles in industry. His work with the Robotics and Intelligent Systems group and Nanoelectronics research has yielded over 25 peer-reviewed publications.

• Computer Science
• Artificial Intelligence
• Pedagogy
• +7 more

Kristian Muri Knausgård is a Lecturer at the Department of Engineering Sciences , University of Agder , Norway. He teaches courses in embedded systems, software development, and robotics. Current courses: MAS245 (Embedded Computer Systems), MAS417 (Software Development), MAS418 (Robotics Programming) Previous courses: MAS218 (Electrical Circuits), MAS234 (Embedded Systems) His research focuses on embedded systems , real-time systems , and technical cybernetics , with applications in artificial intelligence , computer vision , and systems engineering . He contributes to the university's research groups on Robotics and Automation and Systems Engineering and Modeling . Recent publications show a strong emphasis on: Autonomous systems (robotics, docking algorithms) Deep learning applications in marine ecology 3D reconstruction and computer vision techniques Fish detection/classification using neural networks Industrial automation for aquaponic systems His work bridges theoretical research with practical implementations in mechatronic systems and environmental monitoring.

• Embedded computer systems
• Real-time systems
• Technical cybernetics
• +5 more

Mats Erling Høvin is an Associate Professor at the University of Oslo's Department of Informatics, affiliated with the Robotics and Intelligent Systems (ROBIN) research group. His academic work focuses on generative design, CAD/CAM systems, rapid prototyping, and evolutionary robotics. Previously, he conducted significant research in Delta-Sigma noise shaping for analog-to-digital converters. Research Interests: Generative design methodologies for manufacturing Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems Rapid prototyping and additive manufacturing techniques Evolutionary algorithms applied to robotics and optimization problems Delta-Sigma modulation for analog/digital signal conversion Robotic locomotion and control systems His publications demonstrate a consistent focus on optimization techniques applied to robotics, signal processing, and manufacturing systems. Recent work explores physics-based simulations for medical robotics and generative design for structural optimization. Earlier contributions established foundations in evolutionary robotics, motion capture filtering, and analog circuit design. Høvin teaches courses including IN5590 and IN1080, and leads research in the ROBIN group focusing on intelligent systems development. His work bridges theoretical computer science with practical engineering applications in robotics and manufacturing.

• Generative Design
• CAD
• CAM
• +6 more

Geir Jevne is an Assistant Professor in the Department of Information and Communication Technology at the University of Agder. He holds an MSc in Electronics from NTH Trondheim (1992). His research focuses on Digital Electronics, FPGA design, Microcontrollers, Bluetooth Low Energy systems, and Embedded Control. He has extensive industry experience, including roles at Ericsson and teaching positions at various institutions. Teaching includes courses such as Design of Digital Electric Circuits (ELE112-G) and Microcontrollers and Control Systems (ELE217-G). He contributes to research groups like Autonomous and Cyber-Physical Systems (ACPS) and Electronics and IoT. Key publications span IoT device development, energy-efficient wireless systems, and open-source 4G/5G prototyping. No formal grants or awards are explicitly listed, though his work reflects active involvement in interdisciplinary projects and industry-academia collaboration.

• Digital Electronics
• FPGA and VHDL Design
• Microcontrollers
• +3 more

Alexander Wold is an Associate Professor at the University of Oslo, affiliated with the Research Group for Robotics and Intelligent Systems within the Faculty of Mathematics and Natural Sciences. His work focuses on reconfigurable computing, embedded systems, and robotics, with notable contributions to FPGA design, real-time systems, and educational technology. He holds a position at the Institute of Informatics (IFI) and can be contacted at alexawo@ifi.uio.no . Research interests include optimizing hardware-software co-design, thermal management in 3D-IC systems, and developing open-source tools like EasyPR for pattern recognition. His publications span topics such as remote cloud labs for reconfigurable logic education, network traffic management in industrial Ethernet, and constraint programming for module placement in FPGAs. Dr. Wold’s articles reflect a strong emphasis on practical applications of robotics and intelligent systems, with a focus on safety-critical industrial systems and autonomic computing. He has contributed to multi-core system design, thermal-aware FPGA architectures, and self-aware systems.

• Robotics
• Intelligent Systems
• Reconfigurable Computing
• +3 more

Michael Kirkedal Thomsen is an Associate Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. His office is located in room 10461 at Gaustadalléen 23B, 0373 Oslo, with postal address PO Box 1080 Blindern 0316 Oslo. His research focuses on programming languages and security, with particular expertise in reversible computing and programming language theory. Thomsen's research spans multiple interconnected domains within computer science. His primary focus is on reversible computing - investigating how to design programming languages, compilers, and hardware that minimize energy consumption through reversible operations. He has developed Jeopardy, an invertible functional programming language, and has made significant contributions to reversible circuit design, reversible arithmetic operations, and energy-efficient computation. His work bridges theoretical computer science with practical hardware implementation concerns, particularly examining how reversible programs behave on conventional irreversible hardware. An analysis of his recent publications reveals a clear evolution in his research trajectory. Starting with foundational work on reversible circuits and arithmetic operations (2008-2014), he has progressed toward higher-level programming language constructs for reversible computation. His 2022-2024 publications demonstrate a shift toward practical applications, educational tools, and energy analysis of reversible systems. The recurring themes across his work include invertibility, energy efficiency, formal methods, and the relationship between high-level programming abstractions and low-level hardware implementation. While specific grant information isn't detailed in the available text, Thomsen's research program clearly involves significant collaboration with colleagues at the University of Oslo and international partners. His publications show consistent work with researchers including Holger Bock Axelsen, Robert Glück, Joachim Tilsted Kristensen, and Robin Kaarsgaard across multiple years, suggesting ongoing collaborative projects and likely sustained funding support. Though not explicitly stated in the available information, Thomsen's work on reversible processor architecture, Jeopardy programming language, and energy analysis strongly suggests involvement with research groups focused on energy-efficient computing, programming language design, and potentially quantum-inspired computing architectures at the University of Oslo's Department of Informatics.

• Programming languages
• Security
• Reversible computing
• +7 more

Kristian Gjertsen Kjelgård serves as an Associate Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences, where he actively contributes to the Nanoelectronics (NANO) research group. His academic role centers on advancing microwave engineering and nanoelectronic systems with practical applications in environmental and biomedical domains. His research program integrates ultra-wideband radar technology, 3D-printed RF components, and CMOS circuit design to solve complex sensing challenges. Key focus areas include snow water equivalent monitoring through bi-static SAR systems, non-invasive biomedical instrumentation for heart rate and tissue characterization, and hardware security countermeasures against side-channel attacks. His innovative work on differential probing techniques and body-coupled antennas demonstrates cross-disciplinary impact across geoscience and healthcare. Analysis of his 2018-2024 publications reveals a strategic trajectory toward additive manufacturing integration in microwave engineering, producing functional components like 3D-printed waveguide transitions, absorbers, and specialized antennas. The research consistently bridges two critical application domains: environmental remote sensing (particularly snow hydrology monitoring) and biomedical sensing (including wearable health technologies). This dual-focus approach has yielded practical solutions for snowpack inspection, transcutaneous biomedical monitoring, and secure hardware implementations. No specific scientific awards were documented in the source material, though his extensive publication record in IEEE conferences and journals indicates significant scholarly contributions. Within the Department of Informatics, Dr. Kjelgård collaborates extensively through the Nanoelectronics research group, which maintains strong interdisciplinary connections between electrical engineering, materials science, and computer science. The group's facilities support advanced work in RF circuit design, electromagnetic simulation, and additive manufacturing for radar and sensing applications, with ongoing projects targeting next-generation environmental monitoring systems and biomedical instrumentation.

• Microwave Engineering
• Antennas and Propagation
• Ultra-Wideband Radar
• +6 more

Beibei Shu serves as an Associate Professor in the Department of Industrial Technology at UiT The Arctic University of Norway, Narvik campus. Her academic position places her within the university's engineering research ecosystem focused on advanced manufacturing technologies. Dr. Shu's research spans multiple dimensions of Industrial 4.0, with particular emphasis on industrial robotics , digital twin technology , and human-robot collaboration . Her expertise extends to virtual reality applications in manufacturing, network communication protocols, computer vision (OpenCV), and hardware circuit design. She possesses substantial technical proficiency in C/C++, Python, and JavaScript programming languages, alongside practical experience with PCB design, microcontrollers, and PLC systems. Analysis of her publication record from 2016-2024 reveals a consistent research trajectory focused on enhancing manufacturing agility through digital technologies. Her work demonstrates increasing sophistication in digital twin implementations, with recent publications addressing Industry 5.0 transition challenges for SMEs and self-reconfigurable manufacturing systems. The research shows strong interdisciplinary connections between robotics, virtual reality, and network security in industrial contexts. Dr. Shu actively contributes to academic instruction as course manager for postgraduate programs including INE-3611 Digital Twin (since 2018) and the upcoming INE-3610 CIM (from 2025). She participates in the TRINITY project focused on developing data acquisition systems for industrial robot digital twins, with research goals targeting improved human-robot interaction and manufacturing flexibility through novel programming architectures. She is a member of the ArcLog research group specializing in Intelligent Manufacturing and Logistics, operating from Campus Narvik (Room D2160). Her collaborative research network includes international partners across Europe, with frequent co-authorship patterns indicating strong institutional connections with researchers like Halldor Arnarson, Bjørn Solvang, and Gabor Sziebig.

• Industrial Robotics
• Digital Twin Technology
• Human-Robot Collaboration
• +6 more

Ana Ozaki is an Associate Professor at the Department of Informatics, University of Bergen, Norway. Her research focuses on the intersection of Artificial Intelligence (AI), knowledge representation and reasoning, and learning theory. She explores formal methods to analyze learnability, complexity, and reducibility in logical frameworks like description logics. Ozaki leads projects on ontology learning from neural networks, knowledge graph embeddings, and theoretical guarantees for machine learning systems. She has organized international conferences like AIB 2022 and DL 2024, and serves on editorial boards for Journal of Machine Learning Research and Journal of Web Semantics . Ozaki supervises PhD and master’s students in topics ranging from query-based learning to traffic prediction with graph neural networks. Her work emphasizes bridging theoretical foundations with practical AI applications, including ethics in autonomous systems and formal verification of neural networks.

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Learning Theory
• +7 more

Joel Clinton Glover is a Professor at the University of Oslo, affiliated with the Department of Physiology and the Faculty of Medicine. He also serves as Adjunct Professor at the Sars International Centre for Marine Molecular Biology and Director of the Norwegian Center for Stem Cell Research. His research focuses on neural development, stem cell biology, and evolutionary neurobiology, with particular interest in motor systems, spinal cord injury, and marine organisms like tunicates. Education and Background: B.A. in Biology (UC San Diego, 1978), Ph.D. in Neuroscience (UC Berkeley, 1984). Postdoctoral fellowships at University of Oslo, Washington University, and further research roles in Oslo. Academic roles include Associate Professor (1994–1996) and Professor (2001–present) in the Department of Physiology. Research Interests: Glover studies the development and evolution of neural networks, particularly in motor systems and spinal cord injury recovery. His work integrates neurophysiology, optogenetics, and embryology, with contributions to stem cell research ethics and marine model organisms like Oikopleura dioica . Publications Overview: His 15 most recent articles (2020–2025) span topics including calcium signaling in tunicates, stem cell governance ethics, and molecular mechanisms in hindbrain development. These reflect his interdisciplinary approach, bridging basic neuroscience, evolutionary biology, and clinical applications. Awards: Norwegian Academy of Science member (2007), Best Lecturer (1998), Vickers Lecturer (1995). Labs/Teams: Leads the Norwegian Center for Stem Cell Research and collaborates with marine biology teams studying Oikopleura .

• Neural Development
• Stem Cell Biology
• Neurophysiology
• +7 more