جست‌وجوی استاد و پژوهشگر

• Smart Wireless Systems
• Internet of Things (IoT)
• Information Security
• +۸ مورد دیگر

Mohammad Derawi is a Professor in the Department of Electronic Systems at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. He leads the Smart Wireless Systems (SWS) research group and serves as the scientific leader of the IoT Lab at NTNU Gjøvik. Educational Background: PhD in Information Security from NISLab (Norway) and CASED (Germany) BSc and MSc in Informatics from DTU (Denmark) His research interests span smart wireless systems, Internet of Things (IoT), information security with a focus on biometric authentication, digital electronics, applied machine learning for activity recognition, and e-learning technologies. His work integrates cybersecurity, embedded systems, and data science to develop secure and intelligent IoT solutions for real-world applications. The recent publications highlight a strong trend in mmWave-based sensing for unmanned aerial systems, RF fingerprinting for secure identification, IoT security frameworks, and machine learning applications in education and human resource analytics. His research bridges theoretical innovation with practical implementation, particularly in smart cities, healthcare, and transportation. Scientific Awards and Recognition: Invitation to the Crown Prince and Princess's 50th birthday celebration, 2023 Study Quality Award, NTNU, 2017 Norway’s Youngest Professor Award, 2016 Denmark’s youngest M.Sc. engineering award, 2009 IEEE Commendation for Young Professionals Volunteer, 2011 Multiple best paper awards from IEEE, ACM, and Springer Mohammad Derawi has been involved in several funded research and development projects, including IoT Safetraffic (RFF Inland), Ambulance Drone (NTNU Vice-Rector), Wireless ECG (Innovation Norway), biometric handgun security (RFF Innlandet), and the EU Framework 7 TURBINE project. He mentors students and collaborates with international researchers, contributing significantly to both academic and applied domains. His leadership in the SWS group and IoT Lab fosters innovation in wireless and secure embedded systems. He is actively engaged in laboratory and team-based research, particularly through the Smart Wireless Systems group and the IoT Lab, focusing on developing secure, intelligent, and scalable solutions for next-generation wireless applications.

• Embedded Systems
• IoT
• Digital Design
• +۴ مورد دیگر

Carl Richard Steen Fosse is an Assistant Professor at the Department of Electronic Systems, Norwegian University of Science and Technology (NTNU). His expertise includes embedded systems, digital design, and IoT solutions. He actively contributes to open-source projects related to Nordic Semiconductor development kits and Bluetooth Low Energy (BLE) applications. Key competencies: Arduino, C/C++, FPGA, RTOS, and BLE protocol development. Maintains GitHub repositories demonstrating integration with Nordic Thingy:52 sensors and nRF52xx platforms. Focuses on education through course development in embedded systems at NTNU.

Geir Jevneمشاهده پروفایل

استادیار

• Digital Electronics
• FPGA and VHDL Design
• Microcontrollers
• +۳ مورد دیگر

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.

• Smart Grid Development
• System Engineering
• Electromagnetic Compatibility (EMC)
• +۴ مورد دیگر

Geir Mathisen is a Professor at the Department of Engineering Cybernetics, NTNU, affiliated with the Faculty of Information Technology and Electrical Engineering. He holds MSc and PhD degrees from NTNU. His expertise spans Smart Grid Development, System Engineering, Electromagnetic Compatibility, and Distributed Microcontroller Systems. He has led major EU projects like I3RES and e-GOTHAM, focusing on renewable energy integration and smart grid management. His research emphasizes real-time systems, cyber-physical systems, and industrial automation. Recent publications highlight advancements in deterministic networking, energy harvesting, and fault detection in photovoltaic systems. Mathisen has extensive industry experience at SINTEF and has contributed to projects in robotics, power systems, and sensor-based control. He is a member of professional societies like Tekna and NFA. Education : MSc in Engineering Cybernetics, NTNU PhD in Engineering Cybernetics, NTNU Research Interests : Smart Grid Development Real-Time and Distributed Systems Cyber-Physical Systems Energy Harvesting Industrial Automation Key Projects : EU I3RES (2012–2015): Smart Grid Management ARTEMIS e-GOTHAM (2012–2015): Micro-Grid Energy Control WIRENET (2003–2004): Power Line Data Exchange Awards : None explicitly listed. Advising & Grants : National coordinator for multiple EU projects Recipient of research grants for smart grid and robotics initiatives Labs/Teams : Member of the Industrial Computer and Instrumentation Systems research group.

• Industrial Robotics
• Digital Twin Technology
• Human-Robot Collaboration
• +۶ مورد دیگر

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.

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۴ مورد دیگر

Andrii Shalaginov is an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on cybersecurity, IoT security, machine learning for threat detection, malware analysis, and digital forensics. He has contributed to numerous publications in top-tier journals and conferences, addressing challenges in smart IoT ecosystems, vulnerability detection, and energy-efficient security solutions. Key research interests include: Cybersecurity frameworks for international data spaces Resource-efficient IoT threat detection mechanisms Machine learning applications in malware classification and forensic readiness Energy optimization in AIoT networks His work spans academic collaboration, with notable contributions to frameworks like IoTvulCode for vulnerability detection and MEML for edge-based attack detection. He frequently publishes in venues such as IEEE Access, Future Generation Computer Systems, and Sensors. Notable projects include: Development of distributed deep neural network-based middleware for IoT cyberattack detection Design of hybrid IoT cyber ranges for security training Analysis of blacklisted malicious domains in Windows environments He actively participates in academic workshops and conferences, emphasizing the integration of AI and big data analytics for cybersecurity challenges.

• Electronic Systems Engineering
• Microcontroller Systems
• IoT Applications
• +۴ مورد دیگر

Arne Morten Midjo is an Assistant Professor at the Department of Electronic Systems (IES) at NTNU. He currently serves as the Acting Deputy Head of Department for Education and Program Council Leader for the ELSYS engineering programs (BIELSYS, MTELSYS, MSELSYS). His leadership roles include Program Leader for the Bachelor’s in Electronic Systems Engineering and vocational education initiatives. Education: M.Sc. in Engineering (Real-Time Computing & Computer Architecture) from NTNU’s former Department of Engineering Cybernetics (NTH) Key Responsibilities: Curriculum development, program management, and teacher education programs His work focuses on technology education innovation , including collaborations with Thora Storm Upper Secondary School to enhance vocational teacher expertise. He also coordinates outreach initiatives like Researchers’ Night and digitalization of vocational training programs. Recent publications explore future vocational teacher education strategies and public science engagement . His teaching spans microcontroller systems, IoT applications, and engineering project management.

• Industrial Control Systems
• Intelligent Systems
• Microcontrollers
• +۷ مورد دیگر

Ottar Laurits Osen is a Professor in Automation at the Norwegian University of Science and Technology (NTNU), Department of ICT and Natural Sciences, Ålesund campus. He serves as Deputy Leader for Innovation and Sustainability and coordinates maritime research activities in the CPS Lab . Research focuses on Industrial Control Systems, Intelligent Systems, Microcontrollers, Technical Safety (SIL), and Pedagogics (Problem-Based/Project-Based Learning). His work spans maritime automation, robotics, IIoT, and educational technology. Key collaborations include projects with researchers like Guoyuan Li, Houxiang Zhang, and Robin Bye. Recent publications emphasize path planning for autonomous vessels, dynamic positioning thruster analysis, and IIoT applications in maritime processes. Teaching includes courses on industrial control systems, mechatronics, and digital technology.