Find Academic Supervisors

• Additive Manufacturing
• Micro Metal Forming
• Tribology
• +4 more

Dr Dongbin Wei is an Associate Professor at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney (UTS), with a career spanning academia and industry. He holds a PhD in Materials Processing Engineering from the University of Science and Technology Beijing (2001) and academic appointments from 2005–2012 at the University of Wollongong (Research Fellow to Lecturer) and 2013–2017 at UTS (Senior Lecturer) before his promotion to Associate Professor in 2018. His research lies at the intersection of Mechanical Engineering , Manufacturing Engineering , and Materials Processing , focusing on: Ultrasonic Additive Manufacturing (UAM) Micro Metal Forming and Size Effects Tribology and Lubrication Numerical Simulations of Material Processing Composite Material Fabrication Key contributions include: Development of the Springback Path–Displacement Adjustment (SP-DA) method for stamping accuracy Advancements in femtosecond laser texturing for silicon wettability control Studies on nanolubrication in hot rolling Optimization of micro-deep drawing parameters He has secured competitive grants from the Australian Research Council (ARC) and industry partners like Weir Minerals Australia Ltd , including projects on: Revolutionizing mineral separation via additive manufacturing Super high-speed grinding technologies Mechanics of micro composite drill fabrication As a lead supervisor, he guided the 2022 thesis 'Creation and Validation of 3D Printable Mineral Separation Spiral' . His work bridges theoretical analysis, computational modeling (FEM/FEA), and practical validation in advanced manufacturing systems.

Riccardo RaheliView profile

Professor

• Telecommunications
• Digital Signal Processing
• Wireless Communications
• +5 more

Riccardo Raheli is a Full Professor at the University of Parma , Department of Engineering and Architecture, with a career spanning over three decades in Information and Communication Technologies (ICT). He has served as Chair of the Councils for Telecommunications and Communication Engineering programs, and as representative of the University of Parma in CNIT and its Members' Assembly. Education: Laurea in Electronic Engineering (University of Pisa, 1983), M.Sc. in Electrical and Computer Engineering (University of Massachusetts, 1986), Postgraduate Diploma (Scuola Superiore Sant'Anna, 1987) Key Roles: President of Degree Councils (2002-2018), CNIT Committee Member (2000-2005), Editorial Board member for IEEE Transactions, Springer and MDPI journals His research bridges telecommunications , digital signal processing , and healthcare applications , producing extensive international publications and industrial patents. He has co-authored monographs including Detection Algorithms for Wireless Communications (Wiley, 2004) and LDPC Coded Modulations (Springer, 2009). Recent article trends show interdisciplinary work in automotive stress monitoring (IoT/Matlab-based systems), video processing for healthcare (neonatal seizures, respiratory monitoring), and acoustic field control (microphone virtualization, personal sound zones). His work spans machine learning applications in automotive systems, stochastic acoustic modeling , and power-line communications . Scientific Leadership : Co-Chair for IEEE conferences (ICC 2010, GLOBECOM 2011, ISPLC 2020) Editorial roles in 7+ international journals Grants & Collaborations : Led industrial patents in communications systems Coordinated CNIT Technical Reports series (2025) He teaches Wireless Communications and Digital Signals Laboratory , emphasizing Matlab/Simulink proficiency. His laboratory sessions focus on practical implementation of signal processing algorithms, requiring full software installation on personal devices.

Hwan-Sik YoonView profile

Associate Professor

• Advanced Manufacturing
• Artificial Intelligence
• Computer Vision
• +8 more

Dr. Hwan-Sik Yoon is an Associate Professor in the Department of Mechanical Engineering at The University of Alabama, where he focuses on applying Artificial Intelligence (AI) and Machine Learning (ML) to automotive, transportation, and manufacturing systems. His research spans modeling, simulation, and control of dynamic systems, with a strong emphasis on connected and automated vehicles (CAVs), energy-efficient routing, and sensor fusion technologies. Ph.D., Mechanical Engineering, Ohio State University, 2002 M.S., Mechanical Engineering, Ohio State University, 1998 B.S., Physics Education, Seoul National University, Korea, 1994 Dr. Yoon’s research integrates AI/ML into applications such as traffic signal control , excavator manipulator pose estimation , hybrid electric vehicle powertrain control , and factory floor safety monitoring . He is also involved in additive manufacturing , vision-based control systems , and reinforcement learning -driven automotive innovations. Recent publications highlight trends in deep reinforcement learning for vehicle energy efficiency, sensor fusion for traffic surveillance, and neural networks for dynamic system control. His work addresses challenges in multi-component failure analysis and real-time edge computing platforms . NSF Outstanding Faculty Advisor Award (2019) College of Engineering Faculty Productivity Award, Tennessee Tech University (2012) Dr. Yoon leads the Intelligent Structures and Systems Laboratory and serves as the lead CAVs faculty advisor for the University of Alabama’s EcoCAR student team, which has achieved national recognition in advanced vehicle technology competitions.

• Software Engineering
• Model-Driven Engineering
• Automotive Embedded Systems
• +3 more

Vera Pantelic is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University. Her research focuses on software engineering practices for model-based development in automotive systems, particularly centralized Electrical/Electronic (E/E) architectures, Simulink modeling, and supervisory control of probabilistic discrete event systems. Education: Not explicitly mentioned in the text. Her scholarly activity includes extensive contributions to conferences and journals in automotive software engineering, model transformation, and real-time systems. Her work addresses challenges in modularity, documentation, and compliance within automotive embedded systems. Her recent publications emphasize advancements in centralized E/E architectures, model-driven testing, and assurance cases for automotive safety. She collaborates on topics integrating software engineering principles with automotive domain requirements. Scientific Awards: No specific awards mentioned in the text. She serves as an advisor in software engineering, though specific student names are not listed. Her projects involve simulation-based testing, model refactoring, and compliance frameworks, supported by industry partnerships and academic grants. Her work contributes to labs and teams focused on automotive software reliability and model-driven engineering. No explicit lab or team affiliations are detailed in the provided text.

Farah KamwView profile

Assistant Professor

• Information Visualization
• Visual Analytics
• Spatial-Temporal Data Analysis
• +4 more

Farah Kamw is an Assistant Professor in the Department of Computer Science at Wayne State University. With a PhD in Computer Science (2019) from Kent State University, her expertise spans 18 years of software development, academic teaching, and research in information visualization and database management. Education : PhD (Kent State), MSc (University of Zakho), BSc (University of Baghdad) Her research focuses on Information Visualization and Visual Analytics of spatial-temporal data, particularly through 8 publications (2013-2021) addressing urban mobility patterns, trajectory analysis, and geospatial data integration. She has developed several open-source visual analytics tools including TrajAnalytics and SparseTrajAnalytics, applying both document and graph database techniques. Farah teaches core Computer Science courses such as Algorithm Design , Programming Languages , and Database Systems . Her technical skills include Python, C++, Java, SQL, NoSQL databases, and GIS technologies.

• Electric Power Systems
• Renewable Energy Systems
• Control Systems
• +3 more

Mahmoud Khalifa Abdelhamid Khalifa is a Researcher at the Institute for Research in Technology (IIT) of Comillas Pontifical University, affiliated with the Higher Technical School of Engineering (ICAI). He holds a B.Sc. (2019, first class honors) and M.Sc. (2023) in Electrical Engineering from Minia University, Egypt. His current role involves predoctoral research in electrical systems, focusing on battery energy storage systems and their impact on low-inertia power systems stability. Education: B.Sc. Electrical Engineering, Minia University (2019), ranked first in class M.Sc. Electrical Engineering, Minia University (2023) Research Interests: Mahmoud’s work centers on modeling, control, and stability analysis of energy storage systems, particularly in the context of renewable energy integration. His expertise includes doubly-fed induction generators (DFIG), grid stability, and advanced control algorithms for wind and solar systems. Publications & Contributions: He has authored/co-authored peer-reviewed journal articles, conference papers, and a book on DFIG control systems. His work emphasizes optimizing dynamic performance in renewable energy systems and enhancing grid reliability through advanced control techniques. Affiliations & Skills: Mahmoud is proficient in MATLAB/Simulink, PLC programming (Siemens SIMATIC STEP 7), and tools like Arduino C, Microsoft Office, and SPSS. His research is supported by institutional affiliations with IIT and Minia University. Labs/Teams: Engaged in IIT’s electrical systems research group, contributing to projects on smart grids and energy storage solutions.

Ming ZhengView profile

Professor

• High efficiency engines
• Combustion
• Emission control and diagnostics
• +13 more

Ming Zheng is a Professor in the Department of Mechanical, Automotive & Materials Engineering at the University of Windsor, Faculty of Engineering. He is the Director of the Clean Combustion Engine Laboratory and holds a Canada Research Chair in Clean Diesel Engine Technologies. He is a Fellow of both SAE and ASME and a Professional Engineer (PEng). Education: Ph.D., Mechanical Engineering, University of Calgary, Canada, 1993 M.Sc., Thermal Energy and Automotive Engineering, Tsinghua University, China, 1988 B.Sc., Mechanical Engineering, Transport Technology Institute, China, 1982 PDF, Mechanical Engineering, Hokkaido University, Japan, 1995 Dr. Zheng's research focuses on clean and high-efficiency combustion technologies for internal combustion engines. His key interests include low-temperature combustion (LTC), homogeneous charge compression ignition (HCCI), active flow control aftertreatment for emission reduction, advanced ignition systems (e.g., multi-coil, corona), alternative and biofuels (e.g., ethanol, n-butanol), combustion modeling, diagnostics, and real-time adaptive control. His work aims to achieve simultaneous reductions in NOx and soot emissions while improving fuel efficiency. The analysis of his recent publications reveals a strong and consistent research trend centered on advanced combustion strategies using alternative fuels like ethanol and n-butanol. His work extensively explores dual-fuel combustion, the impact of fuel injection strategies, and the use of advanced control algorithms (e.g., extremum seeking control) to manage complex combustion processes. A significant portion of his research is dedicated to developing and optimizing active aftertreatment systems, such as Lean NOx Traps, to handle the unique exhaust characteristics of these clean combustion modes. Scientific Awards: SAE Fellow (2016) ASME Fellow University Award for Excellence in Research, Scholarship and Creative Activity (2007 and 2005) Canada Research Chair in Clean Diesel Engine Technologies (awarded 2003) Dr. Zheng has been a prolific advisor, supervising numerous PhD and Master's students on topics ranging from biofuel testing and low-temperature combustion to aftertreatment modeling and control. His research is highly collaborative, supported by significant grants and contracts from government agencies (NSERC, Auto21, CRC) and major industrial partners like Ford, International Truck and Engine Company, and Imperial Oil. He has secured over $2.6 million in cash awards and approximately $2.1 million in-kind contributions since 2003. Dr. Zheng leads the Clean Combustion Engine Laboratory , a state-of-the-art facility equipped with multiple modern diesel engine test cells (including a Ford common-rail engine and a Yanmar single-cylinder engine), advanced emission analyzers, real-time control systems (FPGA, Can-Bus), and sophisticated diagnostic and modeling tools (LabVIEW, GT-Power, Chemkin, MATLAB/Simulink). The lab specializes in experimental research on combustion, emissions, and aftertreatment, with a focus on active flow control technologies.

Eric BarthView profile

Professor

• Dynamic systems and control
• Mechatronic systems
• Fluid power systems
• +7 more

Eric Barth is Professor of Mechanical Engineering and Professor of Neurological Surgery at Vanderbilt University's School of Engineering. He serves as Director of the C* Control laboratory (also known as the Laboratory for the Design and Control of Energetic Systems) and is affiliated with the Vanderbilt Institute for Surgery and Engineering (VISE), an interdisciplinary entity bringing engineers and physicians together to impact healthcare. His educational background includes: Ph.D. in Mechanical Engineering from Georgia Institute of Technology M.S. in Mechanical Engineering from Georgia Institute of Technology B.S. in Engineering Physics from University of California - Berkeley Professor Barth's research focuses on dynamic systems and control with applications spanning multiple domains. His primary interests include the design, modeling and control of mechatronic and fluid power systems, free-piston internal combustion and free-piston Stirling engines, energy storage and harvesting systems, and MRI compatible pneumatic robots for medical applications. His work applies a system dynamics and control perspective to problems involving the control and transduction of energy, encompassing multi-physics modeling, control methodologies formulation, and model-based design. His recent publications reveal a strong trajectory connecting mechanical engineering principles with medical applications, particularly in neurosurgery. The research spans energy systems (especially Stirling engines and novel energy storage approaches) and advanced medical robotics for MRI-guided interventions. This dual focus demonstrates his ability to bridge theoretical control systems with practical applications in both energy and healthcare domains. Professor Barth actively advises several doctoral students including David Comber, Joshua J Cummins, Alexander V. Pedchenko, and E. Bryn Pitt. His research is supported by significant funding, notably from the Center for Compact and Efficient Fluid Power, an NSF Engineering Research Center. The C* Control laboratory he directs occupies approximately 1000 square feet and contains specialized equipment including an 8-camera high-bandwidth optical tracking system, mechanical breadboard tables, pneumatic equipment with high-bandwidth servo-valves, specialized pressure sensors, a thermographic camera, high-speed video equipment, 3D printers, and a 2D laser cutter. Computational facilities include a network of approximately 20 machines running MATLAB/Simulink and SolidWorks, with access to additional CNC machining resources through the School of Engineering and the University.

Yu JiangView profile

Associate Professor

• Software Engineering
• Embedded Systems
• Fuzz Testing
• +3 more

Yu Jiang is an Associate Professor at the School of Software, Tsinghua University, China. His research focuses on software security with emphasis on fuzz testing, embedded systems, and database security. He leads the Software System Security Assurance Group which has discovered over 1,000 bugs in major system software with 300+ CVEs registered. Dr. Jiang's research interests include Software Engineering , Embedded Systems Security , and Cross-Layer Fuzzing . His work addresses vulnerabilities in operating systems, databases, communication protocols, and IoT firmware through innovative fuzzing frameworks. Key contributions include semantic-aware fuzzing for heterogeneous software stacks and learning-based vulnerability detection for embedded systems. His recent publications demonstrate strong trends in database security (Hulk, PUPPY, THANOS), ransomware defense (Fawkes, Preventing Disruption), and web security (JANUS). Research spans both theoretical advances in fuzzing techniques and practical industrial applications, with significant impact evidenced by numerous distinguished paper awards. Career Award, NSFC: 2026 Distinguished Paper Award, ISSTA: 2025 First Prize for Technical Invention, CCF: 2024 Distinguished Paper Award, USENIX Security: 2024 SIGSOFT Distinguished Paper Award, FSE: 2022 Dr. Jiang has advised over 50 graduate students including 20 PhD candidates. His research is supported by major grants including NSFC projects ($600,000 for Software Trustworthiness Construction and $350,000 for Distributed Database Reliability), Huawei ($80,000 for LLM-Powered Fuzzing), and Tencent ($120,000 for LLM-Powered Unit Testing). The Software System Security Assurance Group maintains strong industry partnerships with Huawei, Alibaba, Tencent, and Webank. The group operates cutting-edge infrastructure for fuzz testing across multiple domains including database systems, operating kernels, blockchain platforms, and industrial control systems. Current projects integrate LLM technologies with traditional fuzzing techniques to enhance vulnerability detection in complex software stacks.

Anne RemkeView profile

Professor

• Dependability
• Security
• Critical Infrastructures
• +5 more

Professor Anne Remke leads the safety-critical systems group at the Faculty of Mathematics and Computer Science at Westfälische Wilhelms-Universität Münster since October 2014. She is also affiliated with the Design and Analysis of Communication Systems group at the University of Twente, where she served as assistant professor from June 2010 and became associate professor in March 2016. Her research focuses on dependability and security in critical infrastructures, particularly electrical power systems and telecommunication networks. Her educational background includes a PhD (2008) and MSc (2004) in Computer Science from the University of Twente and RWTH Aachen respectively. Her doctoral research focused on 'Model Checking Structured Infinite Markov Chains,' for which she publicly defended her thesis in June 2008. Professor Remke's research interests center on cyber-physical systems, with particular focus on evaluation of charging strategies for local energy storage in smart homes and security of control networks (SCADA) in smart grids. Her work bridges theoretical model checking techniques with practical applications in critical infrastructure protection. She has made significant contributions to the analysis of hybrid Petri nets, stochastic models, and the development of tools for dependability evaluation. Her recent publications demonstrate a strong trend toward integrating machine learning with formal verification methods for cyber-physical systems. The research spans stochastic hybrid systems, reachability analysis, and security evaluation of smart grid infrastructures, showing consistent growth in both theoretical foundations and practical applications of dependability analysis. Veni award from Dutch Science foundation (NWO) for 'Counting on a reliable water supply' GI/ITG MMB prize for best diploma thesis in computer and communication systems Best Paper Award at Valuetools 2023 conference Best Repeatability and Artifact Evaluation Award at QEST21 Teaching award from Fachschaft FB10 (2019) Professor Remke has successfully secured multiple research grants including the DFG project 'RealyST: Reachability Analysis for Stochastic Hybrid Systems' in collaboration with RWTH Aachen. She has supervised numerous students including Katharina Sichma, Pauline Blohm, Joanna Delicaris, Verena Menzel, Mathis Niehage, Jonas Stübbe, and Lisa Willemsen. Her research group actively participates in international collaborations and standardization efforts in critical infrastructure security. The safety-critical systems group maintains several research tools including HYPEG (for simulation and analysis of hybrid Petri nets), TimeNET (a GUI for modeling hybrid Petri nets), and a Smart Neighbourhood Simulation Tool for community energy storage and trading. These tools support their research in modeling and evaluating complex critical infrastructures through both analytical methods and simulation techniques.

Alan WassyngView profile

Professor

• Software Engineering
• Formal Methods
• Safety-Critical Systems
• +6 more

Alan Wassyng is a Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. With over four decades of academic contributions, he specializes in formal methods, safety-critical systems, and software assurance cases. Key research intersections: Automotive software safety Medical device software certification Cyber-physical systems engineering Model-driven development with domain experts His scholarly work emphasizes rigorous methodologies for software verification, particularly through tabular expressions and Workflow+ models. Recent projects include a $2M GM Canada partnership to advance automotive safety systems. Teaching leadership spans interdisciplinary capstone projects in biomedical engineering, covering software design, safety-critical development, and mechatronics applications.

• Renewable Energy
• Wave Energy
• Electric Vehicle Integration
• +7 more

Valeria Castellucci is a Senior Lecturer and Associate Professor in the Department of Electrical Engineering at Uppsala University, Sweden, affiliated with the Division of Electricity. She holds the title of Docent in Engineering Science with Specialisation in Science of Electricity, reflecting her advanced academic standing and research contributions. Her research focuses on renewable energy systems, particularly wave energy and the integration of electric vehicles into power grids. Key areas include demand-side flexibility, peak load management, load shifting, and the optimization of wave energy parks. Her work combines theoretical modeling with real-world applications, often based on case studies in Uppsala, such as microgrid operations and EV charging infrastructure in parking garages. The recent publications highlight a strong trend toward smart grid technologies, grid stability, and the role of distributed energy resources in modern power systems. Her research emphasizes practical solutions for integrating variable renewable sources and managing electricity demand efficiently. Docent in Engineering Science with Specialisation in Science of Electricity Valeria Castellucci is actively involved in research collaboration, particularly with colleagues such as Carl Flygare, Alexander Wallberg, and Rafael Waters. Her work has been cited in policy sources and referenced in Wikipedia, indicating broader impact beyond academia. She contributes to both journal publications and conference proceedings, maintaining a high level of scholarly output in energy and electrical engineering. She is based at Ångströmlaboratoriet in Uppsala and is a key contributor to Uppsala University's wave energy research, including work at the Lysekil Research Site. Her doctoral thesis, Sea Level Compensation System for Wave Energy Converters (2016), laid the foundation for much of her ongoing research in marine renewable energy systems.

Cecilia BoströmView profile

Senior Lecturer

• Renewable Energy
• Electrical Systems
• Marine Energy
• +4 more

Cecilia Boström serves as a Senior Lecturer (Universitetslektor) and Docent at Uppsala University's Department of Electrical Engineering within the Faculty of Science and Technology. She holds dual roles as both an academic faculty member and Prefect (Head) of the Department of Electrical Engineering at the Ångström Laboratory. Her institutional email is cecilia.bostrom@angstrom.uu.se and she can be reached at phone number 018-471 58 55. Dr. Boström's research primarily focuses on electrical systems for renewable energy applications, with particular emphasis on wave power technology. Her work spans renewable energy integration, power grid stability, marine energy systems, and electrical engineering solutions for sustainable energy. She has extensively studied wave energy converters, power electronics for renewable integration, grid-forming control systems, and the application of marine energy for desalination and freshwater production. Her research aims to ensure that a significant portion of the world's future energy supply comes from renewable sources while maintaining reliable power systems. Analysis of her recent publications reveals a strong trend toward grid integration of renewable energy sources, particularly wave power systems. Her work demonstrates increasing focus on power electronics control strategies, grid-forming capabilities for island electrification, and service stacking with energy storage systems to address grid congestion. There's also a clear trajectory toward practical applications of wave energy for specific use cases like freshwater production on islands and vehicle-to-grid integration. Dr. Boström has been consistently active in wave energy research since the early 2000s, with numerous publications related to the Lysekil wave energy research site in Sweden. Her work spans theoretical modeling, experimental validation, and practical implementation of wave energy conversion systems. She appears to be actively involved in advising students and collaborating on research projects, as evidenced by her numerous co-authored publications across various topics in electrical engineering and renewable energy. Her work frequently intersects with energy storage applications, power quality assessment, and innovative control strategies for renewable integration. Dr. Boström is part of Uppsala University's wave energy research group, which has been conducting experiments at the Lysekil research site since the mid-2000s. This group has developed direct-drive linear generator technology for wave energy conversion and has been instrumental in advancing marine renewable energy research in Sweden.

Ole MadsenView profile

Professor

• Robotics
• Automation
• Industry 4.0
• +6 more

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

Thor I. FossenView profile

Professor

• Guidance, Navigation, and Control (GNC)
• Marine Hydrodynamics
• Inertial Navigation Systems
• +7 more

Thor I. Fossen is a Professor of Guidance, Navigation, and Control at the Norwegian University of Science and Technology (NTNU), Department of Engineering Cybernetics. He holds a PhD in Engineering Cybernetics and an MSc in Marine Technology. His research focuses on marine craft hydrodynamics, autonomous systems, inertial navigation, and cybersecurity of control systems. He is an IEEE Fellow and has authored influential textbooks such as the Handbook of Marine Craft Hydrodynamics and Motion Control . **Education**: PhD Eng. Cybernetics, MSc Marine Technology. **Research Interests**: Development of guidance, navigation, and control (GNC) systems for marine and aerial vehicles; cybersecurity for autonomous systems; inertial navigation algorithms; and robotics. Notable contributions include the Marine Systems Simulator (MSS), a widely used MATLAB/Simulink toolbox for vehicle control design. **Recent Trends in Publications**: Focus on autonomous surface/underwater vehicles, adaptive guidance laws, cyber-resilient navigation, and sensor fusion techniques. His work bridges theory and practice, with experimental validations on real systems. **Awards**: Automatica Prize Paper Award (2002), Arch T. Colwell Merit Paper Award (2008), IEEE Fellow (2020+). **Grants & Labs**: Co-founder of Marine Cybernetics AS and ScoutDI AS. Lead developer of MSS software. Active in collaborative projects involving dynamic positioning, wave filters, and cyber-physical systems security.