جست‌وجوی استاد و پژوهشگر

Mohammad Habib Rahmanمشاهده پروفایل

استاد

• Bio-robotics
• Rehabilitation Robotics
• Intelligent Systems and Control
• +۵ مورد دیگر

Mohammad Habib Rahman is the Richard and Joanne Grigg Professor and Chair of the Department of Mechanical Engineering at the University of Wisconsin-Milwaukee (UWM), within the College of Engineering & Applied Science. He also holds affiliate professorships in Computer Science and Biomedical Engineering. His research focuses on bio-robotics, rehabilitation robotics, intelligent control systems, and teleoperation technologies. He directs the Biorobotics Lab and has secured significant grants for projects like the 'smart robotic assistive arm.' Education: PhD in Engineering from École de technologie supérieure (2012), MEngg in Mechanical Engineering from Saga University (2005), and BSc from Khulna University of Engineering & Technology (2001). Research interests include wearable robots, exoskeletons, human-machine interfaces, and applications of IIoT and digital twins in healthcare. He has published extensively on topics like robotic exoskeleton control, rehabilitation systems, and adaptive algorithms. Key achievements include grants from NASA and the National Science Foundation, and recognitions like the Marquis Who's Who Excellence Award (2018) and Excellence in Mentoring (2019). Grants and Projects: $1.49M grant for robotic assistive arm development (2020), NASA-Wisconsin Space Grant Consortium funding (2019), and leadership in the UWM Digital Manufacturing Research Center. His work bridges robotics, control systems, and clinical applications, emphasizing assistive technologies for disabilities and telerehabilitation.

• Autonomous Ships
• Dynamic Positioning Systems
• Marine Control Engineering
• +۵ مورد دیگر

Roger Skjetne is a Professor in Marine Control Engineering at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Marine Technology under the Faculty of Engineering. His research focuses on autonomous ships, dynamic positioning systems, energy and power management for hybrid-electric vessels, Arctic stationkeeping, and ice management systems. He leads the SFI Autoship research center, which aims to advance autonomous ship technology for safe and sustainable operations in Arctic and maritime environments. Key projects include DigitalSeaIce (multiscale sea ice observation), ENDURE (safety solutions for autonomous ships), and ZEVS (zero-emission passenger vessel systems). His work integrates control systems, robotics, and environmental monitoring to address challenges in marine autonomy and energy efficiency. Skjetne’s research has produced over 150 publications since 2020, with a focus on hybrid control barrier functions, energy optimization, and autonomous navigation. He collaborates with industry partners to translate academic findings into practical maritime solutions.

• Autonomous Systems
• Target Tracking
• Navigation
• +۵ مورد دیگر

Edmund Førland Brekke is a Full Professor at NTNU's Department of Engineering Cybernetics, specializing in autonomous maritime systems. He leads major projects like Autosea, Autosit, Autosight, and SFI Autoship. His research focuses on estimation theory, target tracking, SLAM, and collision avoidance for autonomous ships. He has held roles including Project Manager for key initiatives and was a Research Fellow at NUS's Acoustic Research Lab. Brekke teaches courses on sensor fusion and nonlinear state estimation. PhD: NTNU (2010), MSc: NTNU (2005) Research interests include sensor fusion, maritime navigation, and autonomous system safety. He supervises over 20 PhD students in topics like radar tracking, SLAM, and digital twins. His publications span collision avoidance algorithms, multi-sensor integration, and autonomous vessel control. He co-founded Zeabuz and collaborates on projects like Autoferry and AutoBarge. Recent work emphasizes maritime target tracking, scenario-based collision risk assessment, and sensor fusion for autonomous ferries. His contributions advance autonomous vessel autonomy and regulatory compliance with COLREGs.

Jari Vepsäläinenمشاهده پروفایل

استادیار

• Mechatronics Design
• Energy Efficient Systems
• Generative Design
• +۷ مورد دیگر

Jari Vepsäläinen is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering under the College of Engineering. He serves as Director of the Fluid Power group and specializes in mechatronics design, energy efficiency, and generative design methodologies. Research focuses on physics-based modeling for energy recovery AI/ML applications in electromechanical system design Applications in robotics, heavy machinery, and sustainable transportation His recent publications demonstrate expertise in hybrid systems, fluid power optimization, and AI-driven engineering, with a strong emphasis on electrification and efficiency across automotive, maritime, and industrial domains. Key areas: Mechatronics, Energy Systems, Generative Design Technologies: Digital Twins, IoT, Machine Learning Current projects involve thermal energy systems, electric motor optimization, and advanced control algorithms for mobile machinery.

Pouria Sarhadiمشاهده پروفایل

مدرس ارشد

• Control Theory
• Autonomous Vehicles
• Adaptive Control
• +۳ مورد دیگر

Pouria Sarhadi is a Senior Lecturer at the University of Hertfordshire's School of Physics, Engineering & Computer Science. He has held roles as a Research Fellow at Queen's University Belfast (2021-2022) and the University of Surrey (2019-2021), and served as an Adjunct Professor at Babol Noshirvani University of Technology (2016-2018). He is a Chartered Engineer (CEng), Member of the IET, and recognized as UK 'Global Talent' by UKRI. His research focuses on control theory applications, adaptive control, autonomous vehicles, and systems engineering. He has contributed to over 50 peer-reviewed publications and led projects such as HertsLynx CAM On-Demand (UKRI-funded). He is actively involved in editorial roles for Applied Ocean Research and advises on IFAC Technical Committees. Research interests include: Autonomous systems (ground, marine, aerial) Machine learning in control systems Adaptive control and system identification Autonomous vehicle safety and navigation Key awards include CEng, MIET, and UK Global Talent recognition. He has advised on UKRI and Horizon Europe projects and consults for industries. Current projects include hybrid navigation safety simulators and cooperative control of multi-AUV systems.

• Maritime Safety
• Operational Risk Management
• Autonomous Systems
• +۳ مورد دیگر

Ingrid Bouwer Utne is a Professor in the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU). Her research focuses on risk assessment, autonomy, safety, and maintenance management of marine and maritime systems. She leads the Risk Group at NTNU and has been a main supervisor for numerous PhD students in areas like autonomous systems safety and risk modeling. She is actively involved in research projects such as the ERC AdG BREACH (Risk-Based Rationality in Autonomous Systems), SFI Autoship (Center for Autonomous Ships), and SAFEGUARD (Intelligent autonomous systems for safeguarding ocean infrastructure). Her work emphasizes risk-based control systems, online risk monitoring, and human-autonomy collaboration in maritime operations. Key publications include 'Risk and Interdependencies in Critical Infrastructures' (Springer) and 'Online Probabilistic Risk Assessment of Complex Marine Systems' (Springer). She has advised over 20 PhD students and contributed to industry-funded projects like UNLOCK and ORCAS, focusing on safer autonomous systems design and verification.

• Robotics
• Autonomous Systems
• Motion Planning
• +۳ مورد دیگر

Elias Xidias is an Assistant Professor at the Department of Product & Systems Design Engineering, University of the Aegean. His academic focus is on Motion Planning of Autonomous Moving Units . He holds a Ph.D. in Robotics from the University of Patras and has worked as a Research Engineer in the Robotics Intelligent Transportation Systems (RITS) team at INRIA de Paris. His research interests span Robotic Logistics , Intelligent Transportation Systems , and Human-Robot Collaboration , aiming to enhance automation in manufacturing and transportation through advanced algorithms and autonomous systems. Education : Ph.D. in Robotics, University of Patras (2009) M.Sc./B.Sc. in Mathematics, University of Patras (2003) Research Interests : Xidias' work focuses on optimizing autonomous systems in dynamic environments, including path planning for car-like robots, energy-efficient task scheduling, and collaborative robotics. He explores applications in warehouse automation, maritime navigation, and multi-robot coordination. His methodologies often integrate fuzzy logic, genetic algorithms, and probabilistic models to tackle real-world challenges in logistics and manufacturing. Key Contributions : Developed algorithms for AGV routing and motion planning in flexible manufacturing systems. Advanced real-time autonomous navigation techniques for maritime and aerial vehicles. Pioneered the Aegean Ro-Boat Race , fostering innovation in marine robotics. Grants & Collaborations : Xidias has collaborated with institutions like INRIA Paris and contributed to projects such as the RITS team. His work bridges academia and industry, addressing challenges in smart logistics and autonomous systems. Labs & Teams : Associated with the Robotics & Intelligent Transportation Systems research groups, focusing on applied robotics solutions for industrial and urban environments.

• Artificial Intelligence
• Data Fusion
• Sensor Fusion
• +۴ مورد دیگر

JESUS GARCIA HERRERO is a Full Professor at the Department of Computer Science , Carlos III University of Madrid , and serves as Director of the Postgraduate School of Engineering and Basic Sciences and the Master's Degree in Applied Artificial Intelligence. His research focuses on Artificial Intelligence , Data Fusion , and Maritime Surveillance , with applications in UAV navigation , sensor integration , and fuzzy systems . Key Research Areas: Machine Learning, Trajectory Analysis, Contextual Data Fusion, Robotics, Maritime Security, and Smart Grids. Notable Projects: ASPID (2024-2027), MARVISION (2024-2025), SIMBAT (2021-2024), and HADA (2023-2024). Contact: jesus.garcia@uc3m.es , jgherrer@inf.uc3m.es

• Fisheries ecology and bio-geography
• Trophic networks and life-histories
• Effects of fishing
• +۸ مورد دیگر

Jorge Santos is Professor of Fishery Biology at The Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø. His work integrates fisheries ecology, socio-ecological systems, and innovative art-science approaches to address coastal and marine challenges. Research Focus: Fisheries ecology and bio-geography, trophic networks, effects of fishing, coasts and estuaries, small-scale fisheries, fisheries management, coastal culture, futures of coasts and fisheries, Blue Economy, education and outreach, and quantitative methods. Key Trends: Recent work emphasizes climate change impacts on marine communities, rotational harvesting effects, geographic life-history variations, and interdisciplinary art-science collaborations for ocean communication. His publications reveal a strong shift toward integrating ecological science with cultural narratives and future scenario planning. Scientific Recognition: No formal awards listed in provided materials. Advising: Supervises bachelor, master, and PhD students across biological and social dimensions of marine systems. Grants & Projects: Coordinates NorLanka Blue (marine sciences/blue economy in Sri Lanka), SAMAKI (MSc/PhD school in Tanzania/Zanzibar), and Blue Route (global PhD education). Serves on MASMA Programme Committee and leads consultancies for fisheries/education development. Active in CRAFT research group (Center for Arctic Humanities) and projects AFO-JIGG (small-scale fishing welfare) and FUTURES4Fish (coastal futures), Santos pioneers transdisciplinary approaches bridging science, art, and community engagement.

Dave Whiteمشاهده پروفایل

استاد

• Offshore Renewable Energy
• Geotechnical Modelling
• Site Characterisation
• +۳ مورد دیگر

Professor Dave White is a leading academic in Infrastructure Geotechnics at the University of Southampton's School of Engineering. He specializes in offshore geotechnical engineering with a focus on renewable energy infrastructure, seabed characterization, and subsea systems. His work bridges fundamental research with industry applications, contributing to design codes and innovative technologies such as robotic soil testing devices. University Affiliation: University of Southampton Current Roles: Professor of Infrastructure Geotechnics, Research Group Leader (Infrastructure Group), Member of Southampton Marine & Maritime Institute Research Focus: Offshore wind energy, geotechnical modeling, seabed anchor systems, pipeline stability Recent research includes advanced mooring line-seabed interaction studies, dynamic anchor reliability analysis, and spatial planning for offshore wind farms. He leads major projects like the EU-funded MARITEC-X initiative and the UKRI-supported TAILWIND program. Key achievements include over 250 publications, development of PIV analysis software, and roles in technical committees like the Royal Academy of Engineering. Awards include the Telford Gold Medal and Fellowships from multiple engineering institutions. Active in PhD supervision across geotechnical engineering topics, with current advisees including Amin Rashidimehrabadi and Shengqi Xia. Collaborates with industry partners on projects involving subsea cable protection and floating offshore wind technologies.

• Tax Law
• International Taxation
• Fiscal Policy
• +۳ مورد دیگر

César García Novoa is a full Professor at the University of Santiago de Compostela, specializing in Financial and Tax Law. He holds teaching responsibilities in programs like the Master in Labour Management and Master in Transnational Law of Business and Technology, focusing on topics such as International Tax Law and Tax Systems. His research interests include modern tax law innovations, judicial aspects of tax disputes, and global fiscal challenges like BEPS (Base Erosion and Profit Shifting). He has extensively analyzed tax policies across jurisdictions, European Union taxation frameworks, and the impact of digitalization on fiscal systems. Notable contributions include studies on wealth taxation, legal certainty in tax rulings, and the application of transfer pricing in cross-border transactions. His work bridges legal theory with practical fiscal governance, addressing contemporary issues such as tax evasion strategies and the future of autonomous fiscal regimes in Spain. His publications span over two decades, reflecting deep engagement with topics like VAT application in public entities, judicial precedents from the EU Court of Justice, and the evolution of residency principles in corporate taxation. He has critiqued tax policies in Peru, explored the taxation of robotics, and examined Spain’s compliance with post-BEPS norms. While no scientific awards are explicitly noted, his prolific academic output underscores his influence in tax law academia. He advises on tax systems at both national and international levels, contributing to debates on fiscal equity and legal certainty. His teaching and research roles are further complemented by participation in legal reforms and policy discussions, though specific grants or lab affiliations are not detailed in the provided texts.

• Green Logistics
• Operational Research
• Artificial Intelligence
• +۱۲ مورد دیگر

Emrah Demir is a Professor of Operational Research in the Department of Logistics and Operations Management at Cardiff Business School, Cardiff University . Prior to this, he was an Assistant Professor at Eindhoven University of Technology, Netherlands. He holds a PhD in Management Science from the University of Southampton and degrees in Industrial Engineering from Baskent University, Turkey. Education: PhD in Management Science, University of Southampton, UK (2012) MSc in Industrial Engineering, Baskent University, Turkey (2008) BSc in Industrial Engineering, Baskent University, Turkey (2005) His research centers on green logistics, artificial intelligence, human/AI collaborative decision-making, and operational research , with a focus on optimizing freight transportation and supply chains for sustainability. He applies quantitative and analytical methods—including exact and heuristic optimization techniques—to address real-world logistics challenges. His recent work explores AI-driven routing, drone and robot delivery, maritime emissions, and behavioral aspects of algorithm adoption. The analysis of his recent publications reveals a strong integration of AI, sustainability, and logistics optimization . Key themes include last-mile delivery with autonomous systems, green vehicle routing, maritime decarbonization, and human-AI collaboration in decision-making. His work spans both theoretical modeling and practical applications in industry contexts, particularly with Ocado and in international sustainability initiatives. Scientific Contributions and Editorial Roles: Area Editor, Journal of Heuristics (Logistics and Supply Chain Management) Associate Editor, IMA Journal of Management Mathematics Associate Editor, Frontiers in Future Transportation – Freight Transport and Logistics Associate Editor, OR Spectrum Associate Editor (Engineering), Arabian Journal for Science and Engineering (from 2025) He has secured multiple external grants, including from the Colombia-UK PACT Programme (GIRO-ZERO) and Ocado Group plc , focusing on decarbonizing freight and optimizing supply chains. He supervises several PhD students on topics such as driver behavior, AI collaboration, and greenhouse gas emissions in shipping. He has held academic leadership roles including Programme Director for the MSc in Logistics and Operations Management and Deputy Head of Section for Learning & Teaching. Research Labs and Teams: He is affiliated with the Logistics and Systems Dynamics Group (LSDG) , Co-Director of the PARC Institute of Manufacturing, Logistics and Inventory , and Director of the Business & Economics Artificial Intelligence Research (BEAR) Network , reflecting his interdisciplinary engagement in AI, logistics, and sustainable operations.

D. Söffkerمشاهده پروفایل

استاد

• Control Theory
• System Dynamics
• Mechatronics
• +۵ مورد دیگر

Univ.-Prof. Dr.-Ing. D. Söffker is a University Professor at the University of Duisburg-Essen, Faculty of Engineering, where he leads the Chair of Control, Regulation and System Dynamics since 2001. His work spans multiple institutions including visiting professorships at University of Maryland and Shanghai Maritime University. His educational background includes: 1988: Dipl.-Ing. Mechanical Engineering, Leibniz University Hannover, specialization in General Mechanical Engineering 1995: Dr.-Ing., Department of Safety Engineering, University of Wuppertal 2001: Habilitation in Security Technology/Automation Technology, University of Wuppertal Prof. Söffker's research focuses on modeling, diagnosis and control of elastic mechanical systems , with particular expertise in robust control theory, system diagnostics, and cognitive technical systems. His work bridges theoretical control systems with practical applications in industrial settings, emphasizing human-machine interaction and autonomous system design. He has developed innovative approaches for structural health monitoring and fault detection in complex mechanical systems. Analysis of his recent publications reveals a strong focus on human-centered automation, with increasing attention to cognitive technical systems and human decision-making processes. His work spans from fundamental control theory (robust observers, nonlinear systems) to practical applications in structural health monitoring, wear detection, and process supervision. The interdisciplinary nature of his research connects mechanical engineering, computer science, and cognitive systems. His research group is involved in several key projects: Structural Health Monitoring Security and reliability systems Methods for application in energy production and use Cognitive Technical Systems

Victor Bolbotمشاهده پروفایل

پژوهشگر

• Autonomous ships
• Marine systems safety
• Ship propulsion systems
• +۳ مورد دیگر

Victor Bolbot serves as a Postdoctoral Researcher in the Department of Energy and Mechanical Engineering at Aalto University, Finland, affiliated with the Marine and Arctic Technology research group. His work focuses on advancing safety, reliability, and cybersecurity frameworks for autonomous maritime systems through rigorous systems engineering approaches and data-driven methodologies. He maintains active collaborations with international researchers and institutions, evidenced by extensive co-authorship across high-impact publications. Dr. Bolbot's research centers on autonomous ships, marine systems safety, ship propulsion cybersecurity, and risk modeling. He employs systems-theoretic process analysis (STPA), Bayesian networks, and association rule mining to address critical challenges including maritime accident causation, cybersecurity vulnerabilities in dual-fuel engines, safety acceptance criteria for autonomous vessels, and socio-technical implications of maritime automation. His methodological innovations bridge theoretical safety engineering with practical applications in Arctic navigation, inland waterways, and regulatory compliance, emphasizing the integration of cyber-physical risk assessment. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Development of cyber-physical risk frameworks like STPA-Cyber for maritime cybersecurity; (2) Real-time Bayesian modeling for dynamic operations including remote pilotage and ice navigation; and (3) Socio-technical investigations into regulatory frameworks, educational needs, and workforce skill transformations for autonomous shipping. His work consistently addresses the interplay between technological innovation and safety assurance, with growing emphasis on cybersecurity as a critical maritime safety component. As an active member of Aalto University's Marine and Arctic Technology research group, Dr. Bolbot contributes to interdisciplinary projects tackling complex challenges in marine safety engineering, Arctic operations, and sustainable maritime technologies. The group's collaborative environment supports the development of safer, more efficient, and environmentally conscious maritime systems through experimental validation, computational modeling, and industry partnerships.

Edin Omerdicمشاهده پروفایل

عضو هیئت علمی

• Marine Robotics
• Fault-Tolerant Control Systems
• Underwater Navigation
• +۳ مورد دیگر

Edin Omerdic is a Senior Research Fellow at the Department of Electronic and Computer Engineering, University of Limerick, Ireland. His expertise focuses on marine robotics, fault-tolerant control systems, and underwater navigation technologies. Research Interests: Development of advanced control systems for Remotely Operated Vehicles (ROVs) and Unmanned Underwater Vehicles (UUVs) Integration of FPGA-based hardware for high-speed cybersecurity and data processing Design of optical fiber sensors for pressure and depth measurement in marine environments System integration for cyber-physical systems and heterogeneous robotic platforms Applications in offshore renewable energy inspection and maritime emergency response His work emphasizes real-time control allocation, power management, and sensor fusion for long-endurance underwater missions. While no specific awards or students are listed, his research has produced significant publications in marine robotics and embedded systems over two decades.