جستجوی استاد راهنمای دانشگاهی

Shaukat Ali serves as Research Professor and Head of the Department of Engineering Complex Software Systems at Simula Research Laboratory, concurrently holding the title of Chief Research Scientist. His academic leadership drives innovation at the critical nexus of quantum computing, artificial intelligence, and software engineering, with concentrated expertise in verification, validation, and testing methodologies for complex systems including cyber-physical infrastructures and autonomous robotics. His primary research domains encompass: Verification and Validation Search-Based Software Engineering Autonomous Driving Systems Cyber-Physical Systems Engineering Digital Twin Technologies Quantum Software Engineering Analysis of recent publications (2024-2025) reveals a decisive trend toward quantum-AI convergence in software engineering, particularly through quantum software testing frameworks and AI foundation models applied to cyber-physical systems. His work systematically addresses noise mitigation in quantum hardware, uncertainty quantification in adaptive robotics, and novel testing paradigms using vision-language models for industrial robotics—demonstrating both theoretical rigor and industrial applicability. As department head, Ali spearheads strategic research directions in complex software systems, fostering cross-disciplinary collaboration while actively shaping quantum software engineering through workshops like QAI2024 and Q-SANER 2024. His invited presentations at venues including JYU Quantum Electronics and EU-Korea Quantum Forums underscore his influence in defining emerging research landscapes.

• Verification and Validation
• Search-Based Software Engineering
• Autonomous Driving
• +۳ مورد دیگر

Frank Lindseth is a Professor in the Department of Computer Science at NTNU, where he leads the NTNU Autonomous Perception lab (NAP-lab) and co-directs the Visual Computing group. As a core member of the Norwegian Open AI-Lab (NAIL), his research bridges Visual Computing, AI, and real-world applications in mobility and healthcare. He holds leadership roles in multiple initiatives: Mobility lead for Green2050 Centre, Digital Technology lead for MoST - MobilityLab Stor-Trondheim, and core membership in strategic research areas including Digital Twins and PERSEUS doctoral program. He also contributes to Gemini centers focusing on future road transport, medical imaging AI, and extended realities. His research spans: Visual Intelligence and Computer Vision AI for Autonomous Driving systems Digital Twin development Extended Reality (XR) applications Medical Image Computing

• Computer Vision
• Artificial Intelligence
• Digital Twins
• +۳ مورد دیگر

Ali Gohar is a Researcher at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger. He holds a PhD in Computer Science from the same university (2019-2024) and has supervised multiple master's theses. Education: PhD - Computer Science, University of Stavanger (2019-2024) MS - Computer Science, Kookmin University (2017-2019) BS - Telecommunication, COMSATS University Islamabad (2011-2014) Certifications: AI in Education, Constructive Alignment and Digital Course Design, Intercultural Competence, NyTi Teaching Certificate, CCNA Research Interests: Ali Gohar's work centers on Deep Reinforcement Learning, 5G/6G communication networks, mathematical modeling, and resource allocation optimization. His research develops autonomous algorithms for network systems in smart cities and space-air-ground integrated networks. Publications: He has contributed to 15 recent publications spanning peer-reviewed journals and conference proceedings, focusing on network slice brokers, virtual network embedding, scalable video coding, and remote driver selection. These works intersect with AI, telecommunications, and urban infrastructure. Supervision: He has mentored students on projects including security-aware resource allocation, federated learning, and vertical industry optimization in smart cities.

• Communication Networks
• 5G and 6G
• Mathematical Modeling for Communication Networks
• +۳ مورد دیگر

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
• +۵ مورد دیگر

Professor Anne Marie Frøseth holds a position at the Faculty of Law, University of Bergen. She specializes in interdisciplinary legal research focusing on artificial intelligence liability, civil liability frameworks, insurance systems, and discriminatory speech regulation. Her work emphasizes comparative studies of European legal systems and the role of EU regulations in shaping national tort law. Her research groups include the Research Group for Legal Theory, Tort Law and Insurance Law, and Property Law. She teaches and supervises master's theses in tort law (JUS213). Key publications address AI liability in autonomous vehicles, user liability models, and legal responses to hate speech in social media. Frøseth's recent work explores the intersection of AI innovation and legal accountability, including strict liability principles in French and Norwegian law. She has contributed to international projects like the Institute of European Tort Law's studies on personal injury claims and hospital liability across Europe. Her writing spans over two decades, with notable contributions to topics like hybrid sanctions for harassment, punishment for hate speech, and the evolution of Norwegian tort law. No formal awards are cited, though her extensive publication record reflects academic recognition.

• Artificial Intelligence Liability
• Civil Liability Systems
• Insurance Law
• +۳ مورد دیگر

Akshay Rajhans is a Chief Research Scientist and Head of the Advanced Research & Technology Office at MathWorks . His work bridges technical computing, model-based design, and AI-enabled cyber-physical systems (CPS), with a focus on verification, simulation, and industrial applications. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (2013) and an M.S. in Electrical Engineering from University of Pennsylvania (2007).

• Cyber-Physical Systems
• Model-Based Design
• Formal Verification
• +۵ مورد دیگر

Fengying Dang is an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University. Her research focuses on enhancing robotic intelligence through perception, sensor data utilization, and intelligent control systems for autonomy in complex environments. Education: PhD in Electrical and Computer Engineering (2021) from George Mason University, B.S. in Detection, Navigation & Control (2015) from Northwestern Polytechnical University. Research Interests : Designing robust perception/localization systems using vision and non-vision sensors, learning-based control algorithms for robotics, and applications in agricultural automation (e.g., weed detection in cotton systems) and bio-inspired underwater vehicles. Publication Trends : Key topics include autonomous driving , weed detection , flow sensing for AUVs , and deep learning in robotics . Her work combines sensor fusion , model reduction techniques , and control algorithms . Laboratory : Leads research in autonomous systems and robotics, mentoring doctoral and master's students. Alumni include MS EE graduate Benjamin Wittrup (2025), now employed at Treetown Tech LLC.

• Robotics
• Control Systems
• Autonomous Vehicles
• +۵ مورد دیگر

Aditya Gupta is a Postdoctoral Research Fellow at the University of Agder's Department of Information and Communication Technology. His research focuses on Machine Learning, Deep Neural Networks, Smart Water Management, and IoT applications. He has held adjunct faculty positions at the College of Engineering Pune (2019-2021) and temporary faculty roles at National Institute of Technology Raipur (2018-2019). His work integrates AI with domains such as water resource optimization, video surveillance systems, and healthcare monitoring. Recent projects include AI-driven solutions for road quality analysis, fall detection, and aquatic health management. Key areas: Smart Water Systems, Video Compression, Autonomous Driving, Healthcare AI Publications span journals like Energies , IEEE Access , and Applied Sciences , with a focus on applying deep learning to real-world challenges such as water distribution optimization and fish health diagnostics. Collaborations include projects on IoT security and biomedical signal processing.

• Machine Learning
• Deep Neural Networks
• Image and Signal Processing
• +۵ مورد دیگر

Irmelin Drake is an Associate Professor at the Department of Leadership and Organization, Kristiania University of Applied Sciences. Her roles include teaching, research, and consulting on leadership topics such as self-leadership, women in leadership, and organizational change. She has held leadership positions, including Head of Master Programmes in Leadership and Innovation at HK and USN universities. Her work emphasizes sustainable, inclusive leadership across individual, group, and organizational levels. Drake’s research focuses on leadership development, gender equity in academia and workplaces, and fostering inclusive environments. She actively collaborates with organizations to bridge theory and practice. Her recent projects explore super-leadership, autonomous organizational structures, and promoting female role models internationally. She was honored as the Best Lecturer by Master students in Leadership (2021). Her academic background includes degrees such as Siv.øk (Civil Engineer), M.Sc., and Ph.D. She contributes to research groups and advocates for women’s perspectives globally, including initiatives in Zanzibar. Her work integrates practical workshops, keynote speeches, and stakeholder engagement to drive organizational transformation.

• Leadership Studies
• Gender and Organizational Behavior
• Change Leadership
• +۵ مورد دیگر

Niki Trigoni is a Professor of Computing Science at the University of Oxford, Department of Computer Science, and a Governing Body Fellow at Kellogg College. She leads the Cyber Physical Systems Group and is Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS), a major interdisciplinary program combining robotics, machine learning, sensor systems, and verification/control. Her research focuses on intelligent and autonomous sensor systems, with applications in indoor positioning, healthcare monitoring, environmental sensing, and smart cities. Key interests include data fusion, inference and learning from sensor data, human-robot interaction, communication protocols for sensor networks, and innovative mobile sensing architectures such as participatory and social sensing. Her recent publications (2020–2023) highlight a strong trend in deep learning-based sensor fusion, particularly using mmWave radar, LiDAR, inertial, and visual data. Work spans human sensing (e.g., mmPoint), localization (e.g., PointLoc, RadarLoc), SLAM (e.g., iMag+), and domain adaptation (e.g., illumination-aware thermal detection). The research demonstrates a consistent focus on robustness in GPS-denied environments and real-world deployment. She has secured external funding, including a 3-year NIST grant for indoor positioning systems for emergency responders. She actively supervises a large cohort of PhD students and research associates, many of whom have gone on to notable careers. Her leadership roles in major conferences such as IPSN and Sensys further underscore her impact in the field. Labs and Teams: Cyber Physical Systems Group EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems (AIMS)

• Intelligent Sensor Systems
• Autonomous Systems
• Cyber-Physical Systems
• +۱۹ مورد دیگر

Daniel Hagen is an Associate Professor at the Department of Engineering Sciences, University of Agder (UiA), Norway. He holds a Ph.D. in Engineering Sciences (2020), M.Sc. and B.Sc. in Mechatronics (2014 and 2012), and a Trade Certificate as Automation Mechanic (2009). His academic career is complemented by extensive industrial experience in roles such as Chief Scientist at Twilligent and Senior Technical Advisor at MotionTech, focusing on control systems, robotics, and energy-efficient mechatronics. Dr. Hagen's research interests include robotics, actuation systems, fluid power, and control systems. He leads projects in digital twins, autonomous robotics (e.g., UiAbot), and energy-efficient electro-hydraulic systems. His work emphasizes practical applications in offshore engineering and industrial automation. He teaches courses like Robotics and Instrumentation, Programming for Intelligent Robotics, and Mechatronic System Design. He is affiliated with research groups such as CAIR (Artificial Intelligence Research) and the Intelligent Mechatronics (iTron) group. Recent publications focus on real-time control systems, payload motion prediction, and digital twin frameworks for mechatronics. His research bridges academic innovation with industrial challenges, particularly in energy efficiency and autonomous systems.

• Robotics
• Modeling and Simulation
• Actuation Systems
• +۴ مورد دیگر

Ilya Tyapin is an Associate Professor at the Department of Engineering Sciences , University of Agder. His work focuses on mechatronics, robotics, and autonomous systems with applications in battery recycling, flexible manipulators, and industrial automation. Research Interests: Tyapin investigates motion control for robotic systems, dynamic modeling of flexible manipulators, and sensor fusion techniques. His research enables technologies for energy storage applications and sustainable manufacturing. Notable Projects: RESTORE: Automated sorting and pre-processing of end-of-life batteries for high-purity material reuse Robotic disassembly systems for electric vehicle battery packs Flexible manipulator control with redundancy resolution Key Collaborations: Tyapin works with researchers from Norwegian University of Science and Technology, ABB, and Luleå University of Technology on offshore robotics and mechatronic design optimization. Teaching: He teaches courses in hydraulics, industrial robots, electric drives, and product development at both undergraduate and graduate levels.

• Mechatronics
• Robotics
• Autonomous Systems
• +۳ مورد دیگر

Arnaud Gotlieb serves as a Research Professor and Chief Research Scientist at Simula Research Laboratory in Norway, where he heads the Department Validation Intelligence for Autonomous Software Systems. His academic career spans over two decades with significant contributions to software testing and artificial intelligence integration. Gotlieb's research focuses on Validation Intelligence of Autonomous Software Systems , Software Testing , Software Validation and Verification , and the application of Constraint Programming and Machine Learning to safety-critical systems. His innovative work bridges theoretical computer science with practical industrial applications, particularly in industrial robotics and autonomous systems. His publication record shows a consistent trajectory of high-impact research with approximately 15 recent publications (2024-2025) focused on metamorphic testing, constraint acquisition, explainable AI for autonomous driving, and verification of AI systems. The research demonstrates a clear evolution from foundational constraint programming work toward contemporary challenges in trustworthy AI and autonomous systems validation. Gotlieb has developed several influential tools including ITE (Stratified Disjunctive Reasoning), TITAN / FLOWER (Test suite optimization), EUCLIDE (constraint-based platform for critical C programs), and FPSE (Floating Point Symbolic Execution), which have advanced the field of automated software testing.

• Validation Intelligence
• Software Testing
• Software Validation and Verification
• +۴ مورد دیگر

Zhihong Cui is a Research Fellow at the Department of Informatics, University of Oslo (UiO), affiliated with the Networks and Distributed Systems research group. His current role involves advancing interdisciplinary projects in autonomous systems and distributed computing. He contributes to the Revolutionizing Autonomous Driving: An AI-Driven, Multifaceted Framework project, funded by the European Union's Horizon Europe program (Marie Skłodowska-Curie grant No. 101126636). This project emphasizes AI integration into autonomous driving systems, focusing on robust network architectures and distributed computing solutions. Contact him via email or visit his office at Gaustadalléen 23B, Oslo.

• Artificial Intelligence
• Autonomous Systems
• Networks and Distributed Systems
• +۳ مورد دیگر

Asgeir Johan Sørensen is a Professor of Marine Control Systems at NTNU's Department of Marine Technology, Faculty of Engineering. He also serves as an adjunct professor at UiT the Arctic University of Norway. His roles include Director of NTNU VISTA CAROS and former Director of NTNU AMOS (2013-2023). Sørensen holds an MSc (1988) and PhD (1993) in Marine Technology and Engineering Cybernetics from NTNU. He has extensive industry experience, co-founding companies like Marine Cybernetics AS, Eelume AS, and Zeabuz AS. His research focuses on marine robotics, autonomous systems, and hybrid power systems. He leads labs such as the Marine Cybernetics Laboratory (MC-Lab) and Applied Underwater Robotics Laboratory (AUR-Lab), emphasizing innovation and entrepreneurship. Over 280 publications and 153 students (41 PhDs) reflect his scholarly impact. Current projects include Oppdrag Mjøsa, aiming to map freshwater ecosystems via autonomous systems. Education: MSc (Marine Technology, NTNU, 1988), PhD (Engineering Cybernetics, NTNU, 1993) Research: Autonomous marine operations, underwater robotics, marine cybernetics, and zero-emission propulsion systems Labs: MC-Lab, AUR-Lab, NTNU AMOS His work bridges fundamental research with practical applications, driving advancements in marine autonomy and sustainability.

• Marine Cybernetics
• Autonomous Systems
• Underwater Robotics
• +۵ مورد دیگر