جست‌وجوی استاد و پژوهشگر

Henning Sten Hansenمشاهده پروفایل

استاد

• Marine Spatial Planning
• Geoinformatics
• Sustainability Science
• +۴ مورد دیگر

Henning Sten Hansen is a Professor at the Department of Sustainability and Planning within The Technical Faculty of IT and Design at Aalborg University. His work focuses on geoinformatics, marine spatial planning, and sustainability science. He leads projects like SEADITO and AquaINFRA, addressing ocean sustainability and ecosystem services. Hansen collaborates extensively with international researchers and institutions, contributing to tools like SEANERGY for maritime spatial planning. His research integrates advanced geospatial technologies with environmental policy, emphasizing open government data's societal benefits. Research interests include marine resource management, cumulative impact assessments, and stakeholder engagement in spatial planning. Over 118 publications demonstrate expertise in population distribution modeling, social media analytics for migration patterns, and machine learning applications in spatial disaggregation. His work aligns with UN Sustainable Development Goals related to ocean health, sustainable cities, and responsible consumption. Key projects involve Baltic Sea governance, MSP tool development, and interdisciplinary collaborations bridging geoscience, policy, and digital innovation. Hansen’s contributions enhance decision-making frameworks for balancing human activity with ecological preservation in marine environments.

Mogens Rüdigerمشاهده پروفایل

دانشیار

• Energy History
• Climate Change
• Fossil Fuels
• +۳ مورد دیگر

Mogens Rüdiger is an Associate Professor in the Department of Politics and Society at Aalborg University , with a focus on energy history, sustainability transitions, and climate policy. His research explores Denmark's shift from fossil fuels to renewable systems while maintaining historical context. Key Research Themes: Energy history, fossil fuel phase-outs, green energy implementation, and societal impacts of energy shifts. Projects: Participates in ActRes (2023–2025) and COPLEWIC (2023–2025) projects addressing energy resilience and local energy communities. Awards: Direktør Louis Hartmann og Hustru Emilie Hartmanns Mindepris (2020) Public Engagement: Regular contributor to media discussions on Danish energy policy, including debates about coal plant closures and historical energy transitions. Networks: Active in the Consortium for History of Science, Technology, and Medicine and serves as chair of Give Egnens Museum (2021–).

Kim Sørensenمشاهده پروفایل

دانشیار

• Energy Systems
• Thermodynamics
• Heat Transfer
• +۷ مورد دیگر

Kim Sørensen is an Associate Professor at Aalborg University (AAU), affiliated with the Department of Thermal Engineering within The Faculty of Engineering and Science. He also contributes to AAU Energy and the BLUE – Marine & Maritime Research initiative. His academic background includes a Graduate Diploma in Business Administration from AAU (1992) and an MSc in Mechanical Engineering from the Technical University of Denmark (1986). His research focuses on energy systems, thermodynamics, heat transfer, and marine exhaust gas cleaning technologies, with emphasis on computational fluid dynamics (CFD), particle dynamics, and system engineering. Education : MSc in Mechanical Engineering (Physic and Energy), Technical University of Denmark (1986) Graduate Diploma in Business Administration, Aalborg University (1992) Key Projects : Geothermal based Optimized Energy Systems (2022–2025) Integration of Large Scale Heat Pumps in the Energy System (2021–2022) Separation of Particulate Matter from Marine Scrubber Washwater (2020–2022) His research interests span thermal energy systems, including boiler technology, waste heat recovery, and marine scrubber design. Recent work involves optimizing packed bed scrubbers for ocean-going vessels, analyzing turbulent flow dynamics, and advancing smart grid infrastructure for water supply systems. He has supervised 4 PhD students and contributed to over 60 research outputs since 2002. Notable collaborations include work on district heating concepts, thermal energy storage, and emission reduction technologies. His projects often bridge engineering and environmental sustainability, addressing challenges in energy efficiency and marine pollution control.

• Robotics
• Intelligent Systems
• Unmanned Aerial Vehicles (UAVs)
• +۷ مورد دیگر

Petar Trslić is an Assistant Professor at the University of Limerick's School of Engineering, affiliated with the Centre for Robotics and Intelligent Systems. His research focuses on advanced robotics, autonomous systems, and sensor fusion technologies, with applications in maritime operations, wildlife monitoring, and infrastructure inspection. Key technical areas include Unmanned Aerial Vehicles (UAVs), Remotely Operated Vehicles (ROVs), path planning algorithms, and LiDAR-based systems. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure, climate action, and sustainable energy. Trslić has collaborated internationally on projects involving cooperative robotic systems, multi-sensor fusion for state estimation, and autonomous vehicle coordination in challenging environments. His recent publications highlight innovations in UAV wildlife surveillance, maritime robotics for offshore wind farms, and automated infrastructure inspection using 3D reconstruction. He has secured research funding for initiatives in autonomous underwater robotics and has developed novel algorithms for robotic docking and navigation under dynamic conditions. Trslić's lab emphasizes practical solutions for industrial automation challenges and environmental monitoring through interdisciplinary approaches.

Rachel Murphyمشاهده پروفایل

مدرس

• History of Landholding
• Urban History
• Family History
• +۷ مورد دیگر

Rachel Murphy is a Lecturer in the School of History and Geography at the University of Limerick since 2018, specializing in Irish history and digital humanities. She concurrently serves as Editorial and Mapping Assistant for the Royal Irish Academy's Irish Historic Towns Atlas program. Her academic roles include chairing the Irish Historic Towns Atlas Digital Working Group and membership on the National Library of Ireland's Genealogy and Heraldry committee. Education includes a PhD in History and Digital Humanities from University College Cork (2017), MA in History of Family from University of Limerick (2008), and BA from University of Oxford (1992). She holds a Higher Diploma in GIS from UCC and a Grad. Dip. Teaching, Learning and Scholarship from UL (2020). Research focuses on landholding history, urban history, family history, and digital tools like GIS. Notable projects include the 'Death and Burial Data: Ireland 1864-1922' (2020-2023) and 'Deep Maps: West Cork Coastal Cultures' (funded by IRC). She emphasizes interdisciplinary approaches, collaborating with computer scientists on data modeling and transcribathon initiatives. Teaching contributions include supervising 37 MA dissertations (2018-2024), directing the MA History of Family program, and lecturing in Irish history. Awards include 2023 UL Team Teaching Award and AHSS Award for collaborative pedagogy. She has held roles in international business prior to academia, including at eBay Ireland and Accenture. Publications span historical demography, digital humanities methodologies, and Irish social history. Current research explores intersections between historical data curation and emerging technologies, with a focus on open educational resources (OER) development.

• Robotic Systems
• Unmanned Aerial Vehicles
• Path Planning
• +۲ مورد دیگر

Dr. Matheus Santos is a researcher at the Centre for Robotics and Intelligent Systems within the School of Engineering at the University of Limerick. His work focuses on developing cooperative robotic systems for inspection and monitoring applications. His research interests include path planning algorithms for unmanned systems, multi-robot cooperation (UAV/USV), 3D reconstruction for infrastructure assessment, visual inspection technologies, and fault-tolerant control systems for inaccessible environments. Recent projects involve developing modular UAV systems for wildlife monitoring, cooperative robotic teams for bridge inspection using LiDAR, and fault-tolerant control systems for offshore wind turbine inspection. Dr. Santos' work emphasizes practical applications in environmental monitoring and infrastructure maintenance.

• Maritime Safety
• Human Reliability Analysis
• Marine Engineering
• +۳ مورد دیگر

Samet Biçen is a Researcher at Istanbul Technical University's Department of Marine Engineering. His work focuses on maritime safety, human reliability analysis, and application of artificial intelligence in ship maintenance systems. He has contributed to over 7 peer-reviewed articles between 2021-2024. Research interests include inspection analysis, reliability engineering, and predictive maintenance strategies. His recent work integrates deep learning with natural language processing for maritime document analysis and hybrid methods for near-miss incident investigation. Key collaborations involve Prof. Celik and other researchers in maritime technology. No scientific awards explicitly mentioned in profile. Biçen's current projects emphasize digital transformation in maritime safety through AI-driven systems and multi-source data integration for improved ship maintenance protocols.

Gazi Koçakمشاهده پروفایل

استادیار

• Marine Engineering
• Energy Efficiency
• Marine Diesel Engines
• +۵ مورد دیگر

Gazi Koçak serves as an Assistant Professor in the Department of Marine Engineering at Istanbul Technical University, Istanbul. His research focuses on energy efficiency optimization, machine learning applications for marine systems, and advancing marine engineering education. With an active publication record including two 2024 journal articles and an h-index of 6 (Scopus), he contributes significantly to maritime technology innovation. His research spans energy efficiency analysis of ship power plants, condition monitoring of marine diesel engines using machine learning, marine refrigeration systems, and mechatronics integration in engineering curricula. Key themes address EEXI compliance, exergy efficiency at partial loads, fault diagnosis algorithms, and bridge navigation monitoring—critical for modern environmental and safety standards in shipping. Recent publications (2022-2024) demonstrate a strong shift toward data-driven methodologies, combining traditional marine engineering with AI techniques for predictive maintenance and operational efficiency. This includes motion heatmap generation for bridge watches and machine learning-based fault diagnosis systems. Kocak has led two major research projects: 'Condition Monitoring of Ship Machinery with Machine Learning Method' (2018-2021) and 'Machine Learning Method for Bridge Watch Officer Behavior Analysis' (2019-2022). He has supervised two research works, reflecting active mentorship in marine engineering, though specific student names and grant details remain undisclosed.

Artur Lugmayrمشاهده پروفایل

دانشیار

• Data Visualization
• Media Management
• Virtual Reality/Augmented Reality (VR/AR)
• +۷ مورد دیگر

Artur Lugmayr is an Associate Professor at Curtin University, Australia, and has held academic roles at institutions including Tampere University of Technology (Finland) and Umea University (Sweden). His research focuses on data visualization, media management, VR/AR, AI, and bioinformatics. He has led projects such as the Cognitive Big Data initiative, developed tools like CirGO for gene ontology analysis, and organized workshops on AI integration in virtual environments. Lugmayr has authored over 170 publications, including edited books on media systems and convergence. He established the Entertainment and Media Management Lab and contributed to Scopus-indexed proceedings. His work bridges technical innovation with human-centric design, emphasizing applications in media industries and healthcare. Education: Dr.-Techn. (Information Technology, Tampere University of Technology), Pursuing Dr.-Arts (Aalto University, Helsinki). Affiliations: Curtin University (since 2014), Umea University (since 2020), and former roles at TUT (2009–2014). Research Interests: Big Data visualization, AI-driven UX, VR/AR applications, bioinformatics tools, and media industry workflows. Grants & Funding: Over €1.7M raised (excluding 2014/2015 applications). Notable projects include EU-funded initiatives and collaborations with Disney Research.

• Natural Language Processing (NLP)
• Data Architecture and Modeling
• Information Retrieval (IR)
• +۷ مورد دیگر

Dr. Brian Atkinson is an Assistant Teaching Professor of Information Technology at Arizona State University's Polytechnic School, part of the Ira A. Fulton Schools of Engineering. He holds a PhD (2018), MLS (2002), and BFA (1992) from the University of Arizona. His research focuses on natural language processing, data architecture, and the intersection of technology with higher education leadership. He has extensive experience in academic technology management, including roles as director and assistant dean at the University of Arizona. Dr. Atkinson teaches courses in natural language processing, big data analytics, information modeling, and cloud data systems. His professional service includes roles in digital humanities initiatives, university IT governance, and leadership development programs. He is a veteran of the U.S. Navy, served in the First Gulf War, and maintains active engagement in professional organizations like the Association for Computing Machinery and IEEE Computer Society. His presentations and workshops emphasize data literacy, interdisciplinary collaboration, and the practical applications of information theory. Recent work includes extending frameworks for ChatGPT-era data literacy and advancing digital humanities methodologies. He balances academic responsibilities with sailing and pursuit of maritime credentials.

• Additive Manufacturing
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Antoine Queguineur is a Doctoral Researcher at the Department of Automation Technology and Mechanical Engineering, Faculty of Engineering and Natural Sciences, Tampere University. His research focuses on additive manufacturing technologies, particularly directed energy deposition (DED), combining materials science with machine learning and industrial IoT. He explores multi-material design, process optimization, and real-time monitoring in manufacturing systems. Key research areas include: Additive manufacturing of complex components like railway bogies and naval parts Material characterization of stainless steel and composites (e.g., WC-Co) Machine learning applications for process control (CNN-based melt pool analysis, neural networks for bead geometry modeling) IoT integration for data-driven manufacturing processes Recent work emphasizes multi-objective optimization in generative design and the influence of process parameters on material properties. His studies bridge theoretical materials science with industrial-scale applications, aiming to enhance efficiency and reliability in large-component additive manufacturing. Publications highlight advancements in DED process monitoring, material microstructure analysis, and infill strategy optimization. He has contributed to evaluating novel techniques like tandem GMAW for naval components and exploring thin/thick wall manufacturing in duplex stainless steel.

Andrew Woodsمشاهده پروفایل

دانشیار

• Stereoscopic 3D Imaging
• Underwater Technology
• Remote Operated Vehicles (ROVs)
• +۵ مورد دیگر

Associate Professor Andrew Woods is a prominent academic and researcher in stereoscopic 3D imaging, underwater technology, and maritime archaeology at Curtin University. He holds roles as Manager of the Curtin HIVE (Hub for Immersive Visualisation and eResearch) and Research Fellow at the Centre for Marine Science & Technology (CMST). Previously, he served as Director of CMST (2002–2004) and co-chairs the annual Stereoscopic Displays and Applications (SD&A) conference. Woods earned a PhD in stereoscopic display technology, alongside MEng and BEng (Hons) degrees in Electronic Engineering. His research focuses on advancing 3D imaging systems, ROV technology, and applying these innovations to marine archaeology and oil/gas sectors. Notable projects include the Mini-3D underwater camera and photogrammetric surveys of shipwrecks like HMAS Sydney II. His work has been recognized with awards such as the 2023 Tall Poppy Award, Fellow of SPIE, and 2017 'Australia’s Most Innovative Engineers' designation. Over 30+ students have been supervised in areas ranging from VR simulation to underwater robotics. Key contributions include publications on crosstalk reduction in 3D displays, VR applications in heritage preservation, and 3D reconstruction of historical sites. Woods actively engages with industry through technical products like stereoscopic cameras and standards development, while media highlights include features in Create Magazine and ABC News. His labs (Curtin HIVE and CMST) drive interdisciplinary projects blending engineering, archaeology, and computer science.

• Machine Learning
• Maritime Engineering
• Robotics
• +۴ مورد دیگر

Shengkai Zhang is an active researcher with 26 publications and 444 citations spanning engineering, computer science, and environmental disciplines. His work demonstrates strong interdisciplinary collaboration through co-authorship with researchers like Kezhong Liu and Mozi Chen across multiple high-impact venues including IEEE conferences, arXiv, and specialized journals. His research interests center on Machine Learning applications in maritime systems , with significant contributions to Large Language Model integration for ship navigation, wireless sensing for bridge officer monitoring, and sensor fusion techniques. Additional expertise spans robotics perception (visual-inertial systems, mmWave radar enhancement), environmental modeling (urban energy systems, climate studies), and biomedical applications of traditional medicine. Recent work shows increasing focus on AI foundation models and their security implications. Zhang's publication trajectory reveals consistent output with accelerating impact since 2023, featuring 15+ papers in 2024 alone. His research clusters around three core themes: Maritime AI Systems (LLM navigation, track association, watchkeeping monitoring) Advanced Sensing Technologies (mmWave radar, Wi-Fi sensing, GNSS fusion) Environmental & Biomedical Applications (urban energy modeling, gut microbiome studies) These areas demonstrate both technical depth in signal processing/computer vision and practical focus on real-world engineering challenges.

• Remote Sensing
• Laser Scanning
• Satellite Surveying
• +۶ مورد دیگر

Paweł Dąbrowski, PhD(Eng), is an Assistant Professor in the Department of Geodesy and Oceanography at Gdynia Maritime University (Faculty of Navigation). His expertise spans remote sensing, laser scanning, and satellite surveying , with a focus on point cloud processing for symmetrical objects and railway infrastructure analysis. He holds a PhD in Engineering from the University of Warmia and Mazury in Olsztyn (2009) and a postgraduate diploma in laser scanning from AGH University of Science and Technology. Awards: 2022 Minister of Science Scholarship, 2020 Polish Academy of Sciences Award, 2021 Minister of Infrastructure Team Award Key Projects: InnoSatTrack rail trajectory analysis, TU Delft collaboration on point cloud dissemination, Mariacka Basilica Gothic vault measurements His research combines geodetic methodologies with computational modeling to address challenges in structural analysis and spatial data interpretation. Current collaborations include work with Professor Roderik Lindenbergh at TU Delft, advancing the PCSE method for symmetry assessment.

• Nonlinear Optimization
• Discrete Optimization
• Operational Research
• +۲ مورد دیگر

Professor Joerg Fliege holds the position of Professor of Operational Research at the University of Southampton, leading its Operational Research Group, the largest in the UK. He is a Fellow of the Operational Research Society and a member of the Council for Mathematical Sciences, advising the UK government. His research focuses on Nonlinear Optimization, Discrete Optimization, and interdisciplinary applications in AI and healthcare. He co-founded the startup Nucleolus and collaborates with industries like Airbus, Boeing, and the European Space Agency. Current research includes UAV navigation, stochastic optimization frameworks, and healthcare decision-making models. Prof. Fliege supervises four PhD students and has been awarded grants from the Royal Society, EU FP7, and others. His work spans academic and industrial domains, emphasizing practical problem-solving and innovation. Education: PhD in Mathematics from the University of Dortmund (1997), with visiting roles at UC Berkeley, Université Libre de Bruxelles, and University of Erlangen-Nuremberg. He became a professor at the University of Birmingham (2004) before joining Southampton in 2007. Research Interests: His core areas include optimization theory, AI-driven solutions, and operational research applications in healthcare, aerospace, and maritime systems. Recent projects address UAV trajectory optimization, predictive wear analysis in materials, and computational approaches to single-cell sequencing. Grants & Awards: Notable funding includes Royal Society grants for network visualization models and EU FP7 support for robust optimization. His 2025 publications highlight healthcare decision-making and autonomous systems, reflecting a blend of theoretical and applied research.