جستجوی استاد راهنمای دانشگاهی

Thor Inge Fossenمشاهده پروفایل

استاد

• Marine craft hydrodynamics
• Motion control systems
• Navigation systems
• +۷ مورد دیگر

Thor Inge Fossen is a Professor of Navigation and Marine Craft Control at the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He is a key scientist at the Norwegian Centre for Embodied AI (NCEI) and internationally recognized for his work in navigation systems, guidance systems, and control of marine vessels, aircraft, and drones. Professor Fossen holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His academic journey has led him to become a Fellow of AAIA, IEEE, and IFAC, reflecting his significant contributions to the field. His research spans several critical areas in marine and aerospace systems: Marine craft hydrodynamics and motion control Navigation, guidance, and control systems for marine craft, aircraft, and drones Cybersecurity of autonomous vehicles Sea-state estimation and wave analysis Attitude control and estimation Fossen's marine craft model, which is widely used in the industry Professor Fossen's publication record demonstrates a strong focus on adaptive control systems, particularly Line-of-Sight (LOS) guidance laws, with numerous papers on 3D path following for marine and aerial vehicles. His recent work (2023-2025) shows increasing integration of machine learning techniques with traditional control systems, particularly in areas like constrained control allocation using deep neural networks. There's also a growing emphasis on cybersecurity aspects of autonomous vehicle guidance systems. His scientific recognition includes: Fellow of the American Institute of Aeronautics and Astronautics (AAIA) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the International Federation of Automatic Control (IFAC) Professor Fossen has been actively involved in advising graduate students, with numerous PhD and MSc graduates. He has led significant research projects including the Marine Systems Simulator (MSS) and the Python Vehicle Simulator, which are widely used tools in the field. His current appointments include being a Study Program Coordinator for the Master's program in Cybernetics and Robotics at NTNU and a Key Scientist at the Norwegian Centre for Embodied AI. He leads research teams focused on embodied AI applications for marine systems, with particular emphasis on safe and secure autonomous operations in complex maritime environments. His work bridges theoretical control systems with practical marine applications, making significant contributions to both academic research and industry implementation.

Allen Clarence Jonesمشاهده پروفایل

دانشیار

• Creative Writing
• Game-Based Pedagogy
• Literary Games
• +۱۲ مورد دیگر

Allen Clarence Jones is an Associate Professor in the Department of Cultural Studies and Languages at the University of Stavanger (UiS), Faculty of Arts and Education. His academic work focuses on the intersection of creative writing, literary games, and innovative pedagogy. He is actively involved in both research and artistic production, contributing to international conferences and publishing widely on experimental writing and game-based learning. His research interests include: Creative Writing and Experimental Pedagogy Game-Based Learning and Recombinatory Writing Surrealist and Dialogic Composition Digital Composition and Interactive Literature Modernist and Contemporary Literary Analysis Creative Awareness and Divergent Thinking in Education The most recent articles show a strong thematic focus on using games as tools for literary engagement and creativity training. His publications span peer-reviewed conference proceedings, creative fiction, poetry, and pedagogical guides, reflecting a hybrid scholarly-artistic approach. He frequently presents at international venues such as the Ubud Writers Festival, Hemingway Society, and Nordic Association for English Studies, indicating broad academic engagement. Notable scientific awards or honors are not mentioned in the provided text. Allen Clarence Jones has contributed to curriculum development, particularly in the UiS English Lektor Program, and has led creative writing retreats and workshops. While no formal list of advisees is provided, his educational materials suggest mentorship roles in training creative thinking. He is involved in projects like the DEMCI colloquium and Erasmus READY, indicating participation in international educational initiatives. He leads or contributes to creative projects such as the Poetry Planet prototype and the Dylan Thomas Game , which explore digital and interactive forms of literary expression. These initiatives suggest leadership in experimental and technology-mediated literary practices.

Tore Brattliمشاهده پروفایل

مدرس ارشد

• Information Retrieval
• Information Seeking
• Search Engines
• +۱۲ مورد دیگر

Tore Brattli is a Senior Lecturer and Study Program Manager in Media and Documentation Science at the Department of Language and Culture, UiT The Arctic University of Norway, under the Faculty of Humanities, Social Sciences and Teacher Education. He plays a key role in shaping the BA, MA, and one-year programs in media and documentation science, with a focus on information technology integration. His research interests include: Information Retrieval Search Engines Databases Digitalization Classification and Cataloging Knowledge Organization Semantic Change in Digital Terminology His teaching spans courses such as Databases, Search Engines and Data Modeling (MDV-1004), Document Organization and Retrieval (MDV-1201), Document Institutions in a Digital Age (MDV-1210), and Big Data, Social Media and Retrieval (MDV-3051). His recent publications reflect a strong focus on the evolution of digital concepts, classification systems like Dewey Decimal, and innovations in library services, especially in digital and networked environments. Themes across his work include the transformation of scholarly communication, automatic classification using semantic indexing, and the impact of digital media on traditional library structures. Notable scientific contributions include studies on the semantic expansion of the term "digital," experiments in automatic classification for public libraries, and analyses of digital journal paradigms. His work bridges library science, information systems, and digital humanities. He advises on curriculum development and leads program management but no formal advisees or students are listed. There is no mention of grants, awards, or laboratory affiliations. His research is primarily theoretical and applied within academic and library contexts.

• Electrical Installations
• Lighting Technology
• Energy Efficiency
• +۴ مورد دیگر

Eilif Hugo Hansen is an Associate Professor at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU). His expertise focuses on electrical installations and lighting technology, with an emphasis on energy efficiency and daylight utilization in building systems. Education: MSc and PhD in Electric Power Engineering from Norwegian Institute of Technology (NTH), with additional qualifications as an electrical contractor and electrician. Research: Specializes in low voltage electrical systems, intelligent lighting controls, energy savings through daylight integration, and safety protocols in electrical installations. Outreach: Active in standardization committees (NEK/NK64, IEC TC64 MT12) and public education initiatives. Teaching: Leads courses such as TET4165 Lys og belysning and TET4170 Elektroinstallasjoner, with extensive experience in guiding master's and bachelor's theses.

• Language Education
• Bilingualism
• Translanguaging Pedagogy
• +۶ مورد دیگر

Kenan Dikilitas is a Professor in the Department of University Pedagogy at the University of Stavanger. His research focuses on language education, bilingualism, translanguaging pedagogy, teacher professional development, and English as a Foreign Language (EFL). He has published extensively on topics such as teacher identity, multilingualism in education, and technology integration in teaching. His work often explores collaborative practices, reflective teaching, and policy implications for language education. Key research interests include translanguaging in EFL contexts, teacher autonomy development, and the use of digital tools like ChatGPT in higher education. His studies frequently examine bilingual education policies, student attitudes toward language proficiency thresholds, and the impact of action research on teacher practice. He has collaborated internationally on projects related to English Medium Instruction (EMI), preschool bilingual contexts, and cross-disciplinary language strategies. Recent publications analyze ChatGPT-driven reflective practices, translanguaging in teacher training, and the developmental trajectories of educators in collaborative research settings. His work bridges theoretical frameworks like complexity theory with practical classroom applications, emphasizing pedagogical innovation and policy-informed teaching strategies.

• Automatic control systems
• Optimization and estimation systems
• Nonlinear and high-performance systems
• +۴ مورد دیگر

Alexey Pavlov is a Professor in Petroleum Cybernetics at the Norwegian University of Science and Technology (NTNU), leading the BRU21 program. He holds a PhD in Mechanical Engineering from Eindhoven University of Technology (2004), an MSc in Applied Mathematics from St. Petersburg State University (1998), and has industrial experience at Equinor and Ford Motor Co. His research focuses on automatic control systems, optimization, signal processing, and human-machine interaction, with applications in petroleum engineering, mechatronics, and medical fields. Current projects include digital solutions for oil and gas, high-performance systems, and shared human-machine control via haptics. Past work includes leading R&D projects at Equinor on drilling automation, production optimization, and heavy oil systems. He has supervised 8 completed PhD projects and authored over 120 publications, including the book Uniform Output Regulation of Nonlinear Systems (2005). His awards include the IEEE Control Systems Technology Award (2015) and multiple recognitions for academic and industrial contributions. Prof. Pavlov serves on editorial and program committees for IEEE, IFAC, and other conferences, and is a Senior Member of IEEE. His leadership in the BRU21 initiative aligns with Norway’s OG21 strategy for innovation in petroleum technology.

• Process Control
• Petroleum Engineering
• Optimization Algorithms
• +۳ مورد دیگر

Bjarne Foss is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), and Managing Director of the Kavli Institute for Systems Neuroscience. He has been a professor since 1989 and holds a PhD in Engineering Cybernetics from NTNU. His roles include Vice President for Research at NTNU (2017–2020) and Adjunct Professor at the University of South-East Norway (2021–2023). He has extensive board experience with companies like Cybernetica AS, Solution Seeker AS, and KTH Royal Institute of Technology. Foss specializes in process control, reservoir management, and optimization algorithms, with over 300 publications and an H-index of 49. He has supervised 31 PhD students and led major international projects for ESA and EU. Awards include the IBM Open Collaborative Faculty Award (2010, 2011), the Karl Diesel Best Paper Award (1995), and recognition for pedagogical innovation in 2007. His research focuses on enhancing oil production efficiency, automation in energy systems, and control strategies for complex industrial processes. His education includes a PhD from NTNU (Engineering Cybernetics) and an MSc degree awarded with the prestigious «Innstilling» honor. Professional activities include editorial roles, IEEE Senior Membership, and leadership in international committees like IFAC. Foss co-founded Solution Seeker AS (2013), Cybernetica AS (2000), and FIRST Scandinavia (2000). Recent work emphasizes distributed optimization for large-scale oil systems, dynamic control under uncertainty, and shale-gas production strategies. His publications span journals like IEEE Transactions on Automatic Control and Journal of Petroleum Science and Engineering , addressing challenges in reservoir control, model predictive control, and well-placement optimization.

• Motion Control
• Autonomous Systems
• Power and Energy Management
• +۶ مورد دیگر

Erlend Magnus Lervik Coates is an Associate Professor at the Department of ICT and Natural Sciences , Norwegian University of Science and Technology (NTNU) , Ålesund campus. He serves as head of the Cyber-Physical Systems Laboratory (CPS-Lab) and coordinator for the Autonomous Ships research area within NTNU. As a key researcher in SFI AutoShip , he supervises 4 PhD candidates and teaches courses in automatic control and artificial intelligence across bachelor’s and master’s programs. His research focuses on motion control, autonomy, and power and energy management for autonomous ships and drones (UAVs) . Technical competencies span control technology, cybernetics, robotics, and vehicle control , with applications in hybrid control systems, geometric methods, and deep reinforcement learning . Publications highlight nonlinear control strategies, decision support systems, and propulsion modeling. Scientific Awards : None explicitly listed. Labs/Teams : Leads CPS-Lab, contributes to SFI AutoShip. Teaching : Courses include Automation and Mechatronics with Project , Dynamical Systems , Control Systems Engineering , and Intelligent Machines .

Jing Zhouمشاهده پروفایل

استاد

• Control Theory
• Robotics and Automation
• Offshore Mechatronics
• +۴ مورد دیگر

Prof. Jing Zhou is a Professor in the Department of Engineering Sciences at the University of Agder, Norway, and serves as Research Director of the Top Research Centre in Mechatronics and Head of the Robotics and Automation Group. She holds a Ph.D. from Nanyang Technological University (2006) and has extensive industry experience, including roles at the International Research Institute of Stavanger (NORCE) and the Norwegian University of Science and Technology (NTNU). Her research focuses on control theory, robotics, offshore mechatronics, and learning-based systems. She leads major projects such as DEEPCOBOT (2020-2025) and INMOST (Indo-Norwegian collaboration), and has authored three influential books on adaptive control. Her academic roles include IEEE Industrial Electronics Society (IES) AdCom Member, Women-in-IES Chair, and editorial positions in top journals like IEEE Transactions on Automatic Control. She has organized major conferences like IEEE ICIEA 2024 and contributed to over 150 publications. Awards include membership in the Norwegian Academy of Technological Sciences and Agder Academy of Sciences. Prof. Zhou’s research spans adaptive control for nonlinear systems, robotics autonomy, offshore crane control, and drilling technology. Her work integrates AI and reinforcement learning to address challenges in industrial automation and environmental monitoring. She advises numerous PhD students and collaborates globally on projects like ImpactWind and INDURB, advancing sustainable energy and smart industrial systems.

• Cyber Risk Assessment
• Cyber Security Architecture
• Network Traffic Analysis
• +۶ مورد دیگر

Ahmed Walid Amro is a Researcher at the Department of Information Security and Communication Technology within NTNU's Faculty of Information Technology and Electrical Engineering, specializing in cybersecurity for critical maritime infrastructure and autonomous systems. His work bridges theoretical security frameworks with practical maritime applications. Education: PhD in Communication and Cybersecurity for Autonomous Passenger Ferry, Norwegian University of Science and Technology (2023) Research Interests: Dr. Amro's expertise spans Cyber Risk Assessment , Network Traffic Analysis , and Secure System Development , with pioneering work in maritime cybersecurity and autonomous vessel protection . His research integrates MITRE ATT&CK frameworks for threat modeling and develops AI-enhanced solutions like the cPAID defense framework. Current focus areas include LPWAN security, navigation system integrity, and cyber-physical risk assessment. His publication trajectory reveals consistent innovation in autonomous maritime security, evolving from communication architectures (2021) to AI-driven certification (2025). Key trends include threat-informed defense-in-depth strategies, digital twin applications, and cross-domain risk assessment methodologies applicable to both energy and transportation sectors. Dr. Amro leads major initiatives including Autoferry (autonomous passenger ferries), CertifAI (AI-enhanced cybersecurity certification), and cPAID (cloud-based AI defense). He serves on program committees for ACM CPSS and IEEE CyberShield workshops, reflecting his influence in critical infrastructure security. As part of NTNU's cybersecurity department, he contributes to Norway's leadership in maritime cyber defense research.

Pål Grønås Drangeمشاهده پروفایل

دانشیار

• Parameterized Complexity
• Graph Algorithms
• Sparse Network Analysis
• +۷ مورد دیگر

Pål Grønås Drange is an Associate Professor at the Department of Informatics, University of Bergen. His research focuses on parameterized complexity of graph algorithms, experimental algorithmics, and applications in machine learning and network interdiction. He leads projects on trustworthy AI and energy transition optimization. Dr. Drange holds a diploma in electronics, bachelor's in cognitive science, master's in logic for AI, and a PhD in algorithms. His work bridges computer science, mathematics, and engineering. Education: PhD in Algorithms (University of Bergen) Master's in Logic for AI Bachelor's in Cognitive Science Electronics Diploma His research interests include parameterized complexity, sparse network algorithms, and applied machine learning. Recent projects involve correlation clustering with overlapping data and autonomous drone inspection algorithms. He is affiliated with the Center for Data Science (CEDAS) and leads the Algorithmic Foundations for Trustworthy AI project funded by the Trond Mohn Foundation. Dr. Drange has received the 2024 outreach award for science communication. His lectures on AI ethics and societal impacts have reached diverse audiences, including policymakers and industry leaders. He is active in program committees for major conferences like ESA, COCOON, and SWAT. Key Achievements: PACE 2024: 1st in parameterized track, 2nd in heuristics track Lead software advisor for Equinor's energy transition projects Open-source contributions to algorithmic toolkits Teaching includes courses on algorithms, machine learning, and software engineering. He advises industry workshops and has conducted over 30 outreach lectures on AI ethics and technology governance in 2023–2025.

Athanasios Protopapasمشاهده پروفایل

استاد

• Reading Fluency
• Cognitive Development
• Eye-Tracking Methodology
• +۴ مورد دیگر

Athanassios Protopapas is a Professor at the Department of Special Education , University of Oslo. He holds a PhD in Cognitive Science from Brown University (1997). His research focuses on reading fluency mechanisms, cognitive development, and eye-tracking methodologies. Previously, he served as Associate Professor at the University of Athens (2010–2016), leading the Cognitive Science graduate program and directing the Language & Learning Lab . Education: PhD in Cognitive Science (Brown University, 1997), MSc in Engineering (1995), MSc in Cognitive Science (1993), BSc in Physics (University of Patras, 1991). Research Interests: Reading development, dyslexia, rapid naming tasks (RAN), cascaded processing in reading, eye-tracking analysis, and methodological innovations in behavioral research. He has contributed to the Multilingual Eye-Movement Corpus (MECO) and studies on Greek orthography and aphasia. Awards: Fellow of the Psychonomic Society (2018), Associate Editor of Journal of Experimental Psychology: Human Perception and Performance (2019–present). Grants: SSHRC Insight Grant (2016–2021), Thales Project on Cognitive Mechanisms (2012–2015), and projects on learning disabilities screening in Greece (e.g., eMaDys). Teaching: Courses on reading development, cognitive science, and statistical methods at the University of Oslo and previous institutions. Authored books on spelling, dyslexia, and Greek language processing.

Marius Geitleمشاهده پروفایل

استادیار

• Machine Learning
• Evolutionary Optimization
• Automatic Programming
• +۲ مورد دیگر

Marius Geitle is an Assistant Professor at the Department of Computer Science and Communication , Østfold University College, Halden. His academic interests include Machine Learning , Evolutionary Optimization , and Automatic Programming . His research focuses on advancing machine learning techniques, particularly in dimensionality reduction , hyperparameter optimization , and node evaluation models for IoT-Mist networks . He utilizes methods like deep ensemble transformers , XGBoost , and evolutionary algorithms to address challenges in computational efficiency and data-driven learning. Recent publications highlight trends in automated programming and fog computing , with keywords spanning Machine Learning , Internet of Things , and Big Data . He coordinates the course ITL25019: Big Data: Storage and Processing and supervises master's theses and project assignments in machine learning. He serves as chairman of Future Then AS and collaborates on projects related to the digital society . His work is affiliated with the Machine Learning research group at Østfold University College.

Roland Olssonمشاهده پروفایل

دانشیار

• Machine Learning
• Automatic Programming
• Artificial Neural Networks
• +۳ مورد دیگر

Roland Olsson is an Associate Professor at the Department of Computer Science and Communication, Oslo and Akershus University College of Applied Sciences (HIOF). He holds a doctorate from the University of Oslo (UiO) and previously served as an Associate Professor at Chalmers University of Technology in Gothenburg, Sweden. His research focuses on machine learning, automatic programming, and algorithm design through large-scale combinatorial search, particularly via his ADATE system. Olsson’s work emphasizes meta-machine learning, including the automatic design of neural network architectures. His research group explores applications in image processing, symbolic regression, and optimization. Key areas include improving algorithms for edge detection, oil well event prediction, and real-time CNC machine control through imitation learning. Publications span domains like evolutionary computation, industrial informatics, and smart grids. His work frequently appears in journals like IEEE Open Journal of the Industrial Electronics Society and conferences such as IEEE International Conference on Big Data and Smart Computing. Though no specific awards are listed, his contributions to automatic programming and machine learning algorithms are widely recognized in the academic community. Olsson’s advising and grant involvement is implied through collaborative projects with industry partners (e.g., CNC machine operators, oil well monitoring). He leads the Machine Learning group at HIOF and teaches courses in machine learning. His research extends to interdisciplinary applications, including IoT architectures for smart grids and healthcare activity recognition.

• Railway Engineering
• Structural Engineering
• Transportation Systems
• +۳ مورد دیگر

Albert Lau is an Associate Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), within the Faculty of Engineering. His research focuses on railway engineering, structural dynamics, and transportation systems. He coordinates the Master’s program in Road, Railway, and Transportation Engineering and leads the MeTinT (Measurement with Train in Regular Traffic) and FutuRe (Innovative Rail Services) research groups. Education: PhD in Civil Engineering from NTNU (2018), MSc Structural Engineering from University of Leeds (2013), BEng in Civil and Structural Engineering from University of Leeds (2010). Research interests include railway track design, train-track dynamic modeling, infrastructure monitoring, and sustainable transportation systems. Recent work emphasizes digital twin applications, machine learning for infrastructure analysis, and PS-InSAR techniques for ground displacement monitoring. His publications span over 30 peer-reviewed articles, covering topics like automated train operations, remote driving systems, and railway catenary condition monitoring. Teaching includes courses such as TBA4225 Railway Engineering, BA6054 Fundamental Railway Maintenance, and supervising over 20 master/PhD students. He has coordinated Norway-China collaboration projects and led village learning programs in railway engineering education.