جست‌وجوی استاد و پژوهشگر

Aaron Hartmannمشاهده پروفایل

مدرس

• Marine Biology
• Ecology
• Conservation Biology
• +۶ مورد دیگر

Aaron Hartmann is a Lecturer on Organismic and Evolutionary Biology and Research Associate in Instruction and Research at Harvard University's Museum of Comparative Zoology (MCZ). His work focuses on understanding how organisms acclimate to environmental changes, particularly in coral reefs, which are critical ecosystems under threat from global change. He employs multidisciplinary approaches including field experiments, genomics (metabolomics/metagenomics/transcriptomics), machine learning, and collaborations with engineers, nutritionists, and coastal communities. Dr. Hartmann holds a Ph.D. in Marine Biology from Scripps Institution of Oceanography (UC San Diego), an M.S. in Oceanography from SIO, and a B.S. in Biology from the University of Vermont. His postdoctoral research included roles at the Smithsonian National Museum of Natural History and San Diego State University. He currently leads the Giribet Lab's efforts in studying phenotypic flexibility and ecosystem resilience, emphasizing interventions to support biodiversity and human-dependent resources like fisheries. His research integrates molecular tools with ecological fieldwork to address planetary health challenges, linking biological adaptation to human survival needs in vulnerable coastal regions. While no specific awards are listed, his work exemplifies innovative cross-disciplinary environmental science.

• Power Systems
• Renewable Energy
• Estimation Theory
• +۳ مورد دیگر

Tyrone Fernando is a Professor at the University of Western Australia (UWA), Department of Electrical, Electronic and Computer Engineering (EECE) within the School of Engineering. He joined UWA in 1996 after earning his BE (Honours) in 1990 and PhD in 1996 from the University of Melbourne. His professional roles include Deputy Head of School (2009–2010) and editorial leadership for journals like IEEE Transactions on Circuits and Systems II and IEEE Access. He is a Senior Member of IEEE and former Chair of the IEEE Circuits and Systems Society’s Power and Energy Technical Committee. Education: Bachelor of Engineering with Honours (1990), University of Melbourne Doctor of Philosophy (1996), University of Melbourne Research Interests: His work focuses on power systems, renewable energy integration, and estimation theory applications. Key emphases include DC microgrid control, advanced battery technologies (e.g., vanadium redox, lithium-ion), model predictive control (MPC) strategies, and sensorless control methods for motor drives. He also investigates stability criteria for power systems with high penetration of power electronics and energy storage optimization. Grants & Projects: He leads grants such as: Seeding marine innovation in SW WA with a WEC deployment in Albany (Blue Economy CRC, 2021–2025) Mine Electrification (CRC for Future Battery Industry FBI, 2022–2024) Project Symphony (Western Power, 2021–2023) These initiatives address grid resilience, battery-electric vehicle infrastructure, and renewable energy integration challenges. Awards: Outstanding Engineer award, IEEE PES WA Chapter (2019) Collaborations: His research involves interdisciplinary teams and industry partners, including Western Power and the Department of Industry, Science and Resources (Australia). He contributes to projects like DC-link capacitance estimation and stability analysis of offshore wind farms.

• Distributed Control Systems
• Complex Networks
• Smart Grids
• +۳ مورد دیگر

Guanghui Wen is an Adjunct Professor at RMIT University's School of Engineering. His research focuses on distributed control systems, complex networks, smart grid technologies, and optimization algorithms. He specializes in multi-agent coordination, robotics control, and nonlinear systems. His recent publications demonstrate strong emphasis on distributed optimization methods, marine robotics path-following, and Gaussian process-based control for robotic manipulators. Work frequently appears in premier control theory journals including Automatica and IEEE Transactions. Dr. Wen maintains active collaboration networks and contributes to advancing control methodologies for complex engineering systems.

Majid Nazemمشاهده پروفایل

استاد

• Geotechnical Engineering
• Computational Mechanics
• Finite Element Analysis
• +۶ مورد دیگر

Professor Majid Nazem is a faculty member in the School of Engineering at RMIT University, specializing in Geotechnical Engineering. His research focuses on Computational Geomechanics, Finite Element Methods, Meshless Analysis, and Offshore Geomechanics. He has contributed to advancements in numerical modeling, soil-structure interaction, and dynamic soil behavior. Professor Nazem holds several notable awards, including the Manby Prize (2012) and the D.H. Trollope Medal (2006). His teaching expertise spans Geomechanics, Finite Element Analysis, and Engineering Mechanics. He actively supervises PhD and Master's students in areas like AI-driven geotechnical analysis and multi-phase media modeling. His work integrates machine learning with traditional geotechnical methods, addressing challenges in infrastructure maintenance and slope stability. Awards and Fellowships: Manby Prize by the Institution of Civil Engineers, UK (2012) Outstanding Reviewer Award by Elsevier (2012) Research Fellowship, The University of Newcastle, Australia (2009) The D.H. Trollope Medal by Australian Geomechanics Society (2006) Research Prize by Faculty of Engineering and Built Environment, The University of Newcastle (2005) Teaching and Supervision: Professor Nazem teaches courses in Geomechanics, Stress Analysis, and Engineering Computations. He supervises research projects focusing on computational geomechanics, meshless methods, and AI applications in geotechnical engineering. Recent projects include predicting soil behavior under dynamic conditions and optimizing tram track maintenance using machine learning. Research Trends: His recent articles emphasize machine learning integration in geotechnical analysis, dynamic seabed penetrators, and slope stability predictions. Key themes include surrogate modeling for tunnel stability, seismic collapse load analysis, and parameter identification using AI frameworks.

• Geodesy
• Geophysics
• Planetary Sciences
• +۵ مورد دیگر

Shin-Chan Han is a Professor at the School of Engineering, University of Newcastle, Australia. He specializes in space geodesy, geophysics, and planetary sciences. His research focuses on analyzing satellite geodetic measurements and modeling geophysical processes related to mass distribution in Earth and terrestrial planets. He has contributed to missions like GRACE, GRAIL, and Mars Reconnaissance Orbiter. Education: B.S. and M.S. from Seoul National University (South Korea), Ph.D. in Geodetic Science from Ohio State University (USA). Career highlights include postdoctoral work at Ohio State University and NASA Goddard Space Flight Center. His research has led to advancements in gravity field analysis, ocean tides, and earthquake-induced mass changes. Awards: NASA Early Career Fellow, Geodesy Section Award (AGU), Robert H. Goddard Honor Award, William T. Pecora Award, and South Korean government recognition. He has supervised numerous students and postdocs, many now in academic and research roles globally. Scientific contributions include pioneering GRACE data processing techniques, analyzing lunar and Martian gravity fields via GRAIL, and developing methods to track climate changes via satellite gravity. Collaborations span geodesy, hydrology, and planetary science. He currently edits the Journal of Geophysical Research - Solid Earth.

Baoze Weiمشاهده پروفایل

دانشیار

• Microgrid Control
• Power Electronics
• Renewable Energy Integration
• +۵ مورد دیگر

Baoze Wei is an Associate Professor at Aalborg University's Department of Electric Power Systems and Microgrids, part of the Faculty of Engineering and Science. His research focuses on advanced control strategies for power electronics, microgrid stability, and energy management systems. He leads and collaborates on projects such as the Digital Twin-based Reliability Framework for Aviation Systems and Holistic Optimization of Green Fuel-Powered Microgrids. Key contributions include work on distributed energy systems, fault-tolerant architectures, and predictive maintenance for power electronics. His research emphasizes practical applications in renewable integration, smart grids, and industrial electrification. Wei has supervised one PhD student, Q. He, and contributed to projects funded by entities like Horizon JU and Huawei. Notable collaborations include work on hybrid-electric aircraft systems (HECATE) and advanced control algorithms for distributed converters. His research spans technical areas such as voltage source inverters, uninterruptible power systems (UPS), and DC shipboard microgrids. His publications reflect expertise in model predictive control, energy trading strategies, and condition monitoring. Current research trends include data-driven lifetime prediction for power electronics components and optimization of multi-energy systems. He actively participates in international conferences, contributing to both theoretical advancements and real-world system implementations.

• Coastal Ecosystems
• Marine Biology
• Remote Sensing
• +۳ مورد دیگر

Dr Robert Canto is a Researcher affiliated with the Centre for Sustainable Tropical Fisheries and Aquaculture (CSTFA) at James Cook University's College of Science and Engineering. His work focuses on coastal ecosystems, integrating remote sensing technologies with ecological field data to address climate change impacts and conservation challenges. He contributes to global datasets for coral reefs, seagrass habitats, and tidal wetlands, emphasizing spatial analysis and biodiversity preservation. Research interests include benthic habitat mapping, blue carbon assessments, and developing methodologies for monitoring coastal ecosystems under climate change. His datasets and publications support conservation policies, marine spatial planning, and climate mitigation strategies. Collaborations span international reefs (e.g., Solomon Islands, Great Barrier Reef) and Australian coastal zones. Dr Canto’s articles highlight advancements in satellite remote sensing applications, machine learning for ecosystem classification, and interdisciplinary approaches to ecosystem resilience. His work bridges ecological science with policy frameworks, offering actionable insights for managing anthropogenic and environmental threats to marine and coastal environments.

Johannes Gemmrichمشاهده پروفایل

پژوهشگر

• Air-Sea Interaction
• Rogue Waves
• Wave Breaking
• +۳ مورد دیگر

Johannes Gemmrich is a Research Scientist at the University of Victoria, specializing in air-sea interaction, rogue waves, and ocean turbulence. He holds a doctorate from the University of Victoria and a Master's from Christian Albrechts Universität. His work combines field observations and modeling to study wave dynamics and coastal hazards. His research group focuses on wave forecasting, Arctic remote sensing, and turbulence dissipation. Recent articles emphasize rogue wave prediction and climate interactions. Awards: François J. Saucier Prize in Applied Oceanography

Zhang Junمشاهده پروفایل

استاد

• Biological Physics
• Nonlinear dynamics and complex systems
• Soft matter physics
• +۴ مورد دیگر

Zhang Jun is a Full Professor of Physics and Mathematics and Co-director of the Applied Math Lab at the Courant Institute, New York University (NYU), USA. He also serves as Co-director of the NYU-ECNU Joint Physics Research Institute in Shanghai, China, and holds an Affiliated Professorship at NYU Shanghai. His research focuses on experimental fluid physics, particularly fluid-structure interactions in biological and geophysical contexts, including bio-locomotion, flapping wings, and continental dynamics. Zhang has authored over 290 invited talks and peer-reviewed papers in journals like Nature and Physical Review Letters. He received the 2017 APS Fellow award for pioneering work in fluid-structure interactions. Beyond academia, he is a freelance illustrator with plans to publish a book of sketches. Education: PhD in Physics (1994), Niels Bohr Institute, University of Copenhagen PhD Candidate (1990-1991), Hebrew University of Jerusalem BSc in Physics (1985), Wuhan University Research Interests: Zhang’s work bridges physics, biology, and geophysics, exploring phenomena like flapping wing aerodynamics, animal locomotion, and Earth’s core-mantle interactions. His experiments often use novel fluid dynamics setups to model natural systems. Awards: APS Fellow (2017) Milton Van Dyke Award (2014) Antarctica Service Medal (2015) Labs & Teams: Co-directs the Courant Institute’s Applied Math Lab, specializing in fluid dynamics experiments. Collaborates with institutions globally, including NYU Shanghai and Aix-Marseille University.

Alessandra RAFFAETA'مشاهده پروفایل

دانشیار

• Mobility Data Analytics
• Trajectory Data Warehousing
• Spatiotemporal Analysis
• +۵ مورد دیگر

Alessandra RAFFAETA' serves as Associate Professor in the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice, where her research bridges computer science with environmental applications through advanced mobility data analytics. Her research expertise spans several interconnected domains: Mobility Data Analytics and Trajectory Pattern Recognition Semantic Trajectories and Spatiotemporal Modeling Big Data Processing for Environmental Monitoring Marine Noise Pollution and Fisheries Management Privacy-Preserving Data Mining and Ethical Considerations Urban Mobility and Tourist Behavior Analysis Dr. RAFFAETA's scholarly output demonstrates a clear evolution from theoretical foundations in constraint logic programming to practical environmental applications. Her recent work (2021-2025) shows increasing focus on marine environmental challenges, particularly underwater noise characterization through semantic trajectories and analysis of fishing activities in the Adriatic Sea. A notable trend is her growing attention to ethical dimensions of mobility data usage, reflecting the field's maturation and societal implications. Her research methodology combines advanced trajectory data warehousing techniques with machine learning to extract meaningful patterns from complex spatiotemporal datasets. She has developed specialized frameworks for visual OLAP analysis on trajectory data and semantic enrichment of mobility information, with applications ranging from marine conservation to urban planning. Dr. RAFFAETA' actively contributes to the mobility data analytics community through workshops like the International Workshop on Big Mobility Data Analytics (BMDA) and collaborative research addressing real-world environmental challenges. Her work with marine scientists on fishing vessel tracking and with urban planners on Venice tourism patterns demonstrates strong interdisciplinary collaboration. Her laboratory work likely involves trajectory data management systems, semantic enrichment tools, and spatiotemporal analysis frameworks that enable both theoretical exploration and practical environmental monitoring applications.

Camilla BERTOLINIمشاهده پروفایل

استاد مدعو

• Marine Ecology
• Environmental Science
• Aquaculture Sustainability
• +۵ مورد دیگر

Camilla BERTOLINI is an Adjunct Professor at the Department of Environmental Sciences, Informatics and Statistics of Ca' Foscari University of Venice. She is affiliated with the Research Institute for Green and Blue Growth . Her research focuses on coastal ecosystems, particularly the Venice Lagoon, with emphasis on carbon sequestration, bivalve species biology, and climate change impacts on marine environments. She teaches the course ECOSISTEMA DELLA LAGUNA VENEZIANA for the School for International Education. Her work integrates ecological modelling, remote sensing, and interdisciplinary approaches to address challenges in aquaculture sustainability, ecosystem restoration, and environmental monitoring. Key research areas include mussel and clam farming optimization, tolerance landscapes for marine species under climate change, and biogeochemical processes in wetlands. BERTOLINI has published extensively on topics ranging from bioenergetic models for shellfish growth to the application of machine learning in ecological behavior analysis. Her contributions bridge fundamental research and practical applications for coastal resource management.

• Environmental Robotics
• Robotic Vision
• Deep Learning
• +۳ مورد دیگر

Dr. Dorian Tsai is a Research Fellow and Associate Investigator at the Queensland University of Technology (QUT) Centre for Robotics, affiliated with the School of Electrical Engineering & Robotics. His research focuses on environmental robotics, robotic vision, and deep learning applications for large-scale environmental challenges. He currently leads the Technology Development stream in the Reef Restoration and Adaptation Project (RRAP), developing robotic technologies for coral monitoring and endangered species tracking. Education: Bachelors in Engineering Science (University of Toronto), Masters in Space Science & Technology (Lulea Technical University), Robotics & Automation (Aalto University), and a PhD in Robotics from QUT. His doctoral work involved light field features for camera motion control, completed under supervisors Prof. Peter Corke, Dr. Donald Dansereau, and Dr. Thierry Peynot. Research emphasizes robotic solutions for marine conservation (e.g., Great Barrier Reef preservation), precision agriculture, and autonomous systems. His work combines machine learning, computer vision, and robotics engineering to address real-world environmental and industrial challenges. Prior to QUT, he worked at the Canadian Space Agency and completed thesis research at NASA's Jet Propulsion Lab on rover docking systems.

• Geophysics
• Seismic Monitoring
• Environmental Geology
• +۵ مورد دیگر

Dr. Olivia Collet is a Research Fellow at Curtin University's School of Earth and Planetary Sciences (EPS), Faculty of Science and Engineering. She contributes to the Office of the Provost, demonstrating leadership in academic governance. Her research focuses on geophysical signal processing, distributed acoustic sensing (DAS), and rock physics, with particular emphasis on seismic monitoring, CO2 sequestration, and deep learning applications in geoscience. Collet's work bridges computational methods with environmental geology, addressing challenges in subsurface imaging and carbon storage monitoring. Her education and prior roles are not explicitly detailed in the profile, but her extensive publication record spans over a decade, reflecting deep expertise in seismic anisotropy, fluid-rock interactions, and machine learning-driven geophysical analysis. Notable projects include CO2 plume detection via DAS Rayleigh waves and noise reduction techniques for raw DAS data. Collet collaborates internationally, as evidenced by multi-author publications from institutions like the University of Western Australia and global research consortia. Publications (2011–2025) highlight her contributions to: 1) Stress and fluid effects on rock anisotropy, 2) Machine learning for seismic data interpretation, 3) Environmental monitoring via fiber-optic sensing, and 4) Theory-guided reservoir characterization. Her work often intersects with industry needs in petroleum engineering and environmental policy.

Xi Jiangمشاهده پروفایل

استاد

• Sustainable Energy Engineering
• Thermofluid Modelling and Simulation
• Combustion Science
• +۱۳ مورد دیگر

Professor Xi Jiang is a Professor of Mechanical Engineering at the School of Engineering and Materials Science, Queen Mary University of London (QMUL). He leads research in thermofluid modelling and simulation for sustainable energy utilisation, with a focus on cleaner combustion, carbon storage, and thermal management. He has previously held academic positions at Lancaster University, Brunel University, and international institutions, and currently leads an active research group funded by EPSRC, EU, and industry. Research Interests: His expertise lies in applying advanced computational methods to sustainable energy challenges. Key areas include: Thermofluid modelling for clean combustion of alternative fuels Molecular dynamics and machine learning for fuel property prediction Geological carbon storage and CO₂ sequestration Thermal management in batteries and computing systems Digital twin development for marine engine decarbonisation High-performance computing (HPC) applications in energy systems His recent publications show a strong trend toward integrating machine learning with molecular dynamics and combustion simulation to accelerate the design of low-carbon fuels and reduce emissions. The research spans scales from nanoscale molecular interactions to field-scale geological processes. Scientific Awards: Gaydon Prize, Combustion Institute (British Section) Editorial and Professional Roles: Subject Editor, International Journal of Computer Mathematics ; Editor, Nature Scientific Reports ; EPSRC Peer Review College Member. He has served on various research assessment panels and conference organising committees. Advising and Grants: Professor Jiang supervises multiple PhD students working on topics including ammonia combustion, molecular dynamics of biofuels, and digital twins. His research is supported by significant grants, including a current £436,930 EPSRC project on synthetic fuels for difficult-to-decarbonise transport. Previous funding includes projects from EPSRC, EU, and Royal Society. Laboratory and Research Group: He leads a computational research group specialising in high-fidelity simulations using HPC. The group focuses on cross-cutting themes of net zero, digital design, and data-driven energy solutions.

• Machine Learning
• Computer Vision
• Signal Processing
• +۳ مورد دیگر

Louise Rixon Fuchs is an Industry doctoral student at KTH Royal Institute of Technology's Division of Robotics, Perception and Learning. She specializes in advanced sonar imaging techniques, machine learning applications, and signal processing for robotics. Her research focuses on enhancing sonar data analysis through deep learning methodologies, optimization algorithms, and compressive sensing models. Her work bridges robotics and computer vision, addressing challenges in low-resolution sonar image processing, object detection, and beamforming optimization. Key contributions include GAN-based sonar image simulations and transfer learning for object recognition in sonar environments. Louise has published extensively on sonar technology advancements, with recent articles emphasizing dense point correspondence algorithms and wide-beam sonar system improvements. She currently holds no recorded scientific awards but is actively contributing to robotics and marine sensing research.