جستجوی استاد راهنمای دانشگاهی

Anthony Filippiمشاهده پروفایل

دانشیار

• Imaging Spectroscopy
• Hyperspectral Remote Sensing
• GIS-Based Modeling
• +۵ مورد دیگر

Dr. Anthony Filippi is an Associate Professor and Director of Graduate Programs at Texas A&M University. His research focuses on remote sensing, geographic information systems (GIS), and machine learning applied to aquatic and terrestrial environments. He leads the Fluvial-GEOS Lab, studying riverine/floodplain systems using remote sensing and GIS technologies. Educational Background: Ph.D. in Geography, University of South Carolina (2003) M.S. in Geography, University of South Carolina B.A. in Geography, Kansas State University Research Interests: Imaging spectroscopy, hyperspectral remote sensing of rivers and coastal oceans, GIS-based modeling, data fusion, aquatic optics, and machine learning. His work addresses coastal ocean bathymetry estimation, floodplain dynamics, and applications in environmental monitoring, including hazardous waste site tracking and agricultural studies. Recent Research Trends: Recent publications highlight advancements in UAS-based image analysis, LSTM networks for floodplain classification, and environmental policy impacts on forest resources. His work integrates machine learning with remote sensing to improve ecological and geomorphological understanding. Labs/Teams: Director of the Fluvial-GEOS Lab, focusing on remote sensing and GIS applications in riverine environments.

Brian Calderمشاهده پروفایل

استاد پژوهش

• Seafloor Characterization
• Seabed Mapping
• Bathymetric Data Processing
• +۱۲ مورد دیگر

Brian Calder is a Research Professor at the Center for Coastal and Ocean Mapping, University of New Hampshire, with a strong affiliation in Ocean Engineering and Earth Sciences. He holds a Ph.D. and M.S. in Image Analysis and Electronics Communications Engineering from Heriot-Watt University. His academic work is centered on advanced methods in seafloor characterization and hydrographic data processing. Ph.D., Image Analysis, Heriot-Watt University M.S., Electronics Communications Eng, Heriot-Watt University His research focuses on the development and application of computational techniques for seabed mapping, bathymetric uncertainty modeling, and autonomous ocean sensing. He integrates machine learning, signal processing, and remote sensing to improve the accuracy and reliability of marine geospatial data. His work supports navigation safety, coastal zone management, and deep-ocean exploration. Recent publications highlight trends in automated nautical chart generalization, trusted community bathymetry systems, and wireless ocean-of-things networks for volunteer data collection. His article portfolio reveals a strong emphasis on data quality, uncertainty quantification, and algorithmic innovation in hydrography and marine geodesy. Brian Calder has received multiple research grants, primarily from NOAA and the U.S. Navy, supporting projects such as IT support for NOAA personnel at UNH, development of bathymetric uncertainty models, and autonomous mapping using Saildrone technology. These grants reflect sustained funding and recognition in the field of hydrographic science. He teaches graduate courses including Seafloor Characterization , Seabed Mapping , and Doctoral Research , indicating active mentorship and academic leadership. His work is conducted within the Center for Coastal and Ocean Mapping, a leading institution in hydrographic research, where he collaborates extensively with experts like Yuri Rzhanov, Larry Mayer, and Christos Kastrisios.

• Mobile Robotics
• Underwater Robotics
• Autonomous Systems
• +۴ مورد دیگر

John Folkesson is an Associate Professor at the Department of Robotics, Perception and Learning at KTH Royal Institute of Technology. His research focuses on mobile robotics, underwater autonomous vehicles (AUVs), and Simultaneous Localization and Mapping (SLAM), particularly addressing challenges in dynamic underwater environments. He leads the AUV group within the Swedish Maritime Robotics Centre (SMaRC2.0) and supervises multiple PhD projects, including those funded by Ocean Infinity and Vinnova. Folkesson has pioneered work on sonar-based SLAM, bathymetric mapping, and autonomous underwater navigation without human intervention. He teaches courses such as Probabilistic Graphical Models (DD2420) and Applied Estimation (EL2320). Recent projects include developing neural rendering techniques for sidescan SLAM and automatic launch systems for AUVs in collaboration with Purdue University and SAAB. His research emphasizes long-term autonomy, environmental ambiguity, and sensor data interpretation in unstructured underwater scenarios. Education: PhD in Robotics (2005, KTH Royal Institute of Technology) Recent Funding: 2024 projects include ALARS (Vinnova), WASP WARA-PS, and industrial collaborations. Research Interests Folkesson's work spans underwater robotics, SLAM algorithms, and sensor fusion. Key areas include: Underwater SLAM and sonar modeling Bathymetric reconstruction using neural networks Autonomous decision-making in AUV missions Real-time terrain modeling and localization Articles Trends Recent publications emphasize neural networks for SLAM optimization, sonar data processing, and autonomous underwater systems. Themes include real-time bathymetric mapping, sensor fusion in dynamic environments, and neural rendering techniques for improving navigation accuracy. Folkesson's work bridges theory and practice, with applications in marine robotics and industrial surveys. Advising & Grants PhD supervision: AUV perception (2024), SLAM with Ocean Infinity, event-response AUV systems. Collaborations: Purdue University, SAAB, Ocean Infinity. Course responsibilities: Over 10 advanced robotics and engineering courses at KTH. Labs & Teams Lead of SMaRC2.0, KTH's official research center for maritime robotics. Active in developing AUV systems for long-duration missions, including ice-covered and deep-sea exploration.

• Hydrology
• Environmental Impact Assessment
• Cold Climate Hydrology
• +۴ مورد دیگر

Knut Tore Alfredsen is a Professor in the Department of Civil and Environmental Engineering at NTNU. His research focuses on cold climate hydrology, environmental impacts of hydropower, river ice dynamics, and water resource management. He leads projects like Trygg Elv (flood detection tools) and Hydro Connect (climate change mitigation in hydropower). He supervises numerous PhD and master’s students and teaches courses in hydrology, hydropower engineering, and environmental design. His work combines field measurements, data analysis, and advanced modelling, often using LiDAR and remote sensing technologies. Key projects include Sagelva research catchment studies and evaluations of environmental impacts from hydropeaking and reservoir operations. He is an active contributor to international conferences and collaborates with organizations like NVE and the IAHR. Education: Not explicitly stated in the provided text. Affiliations: HydroCen, Center for Renewable Energy (FME), NTNU’s Civil and Environmental Engineering Department. Grants: Involved in projects like HydroFlex (turbine development) and Klima 2050 (runoff estimation). Awards: None explicitly mentioned. Labs/Teams: Leads research groups in ecohydraulics, river modelling, and cold climate hydrology. Research Highlights: Focuses on ice-jam flood hazards, hydropeaking effects on fish, and sustainable hydropower practices. Recent work includes LiDAR-based river bathymetry and historical river development analysis using AI.

Venkatesh Merwadeمشاهده پروفایل

استاد

• GIS applications in water resources engineering
• Surface water hydrology
• River hydraulics
• +۴ مورد دیگر

Venkatesh Merwade is a Professor in the Lyles School of Civil Engineering at Purdue University , where he has been since 2007. His research focuses on GIS applications in water resources engineering , surface water hydrology , river hydraulics , and cyberinfrastructure for hydrology , with regional interests in water management in developing countries . PhD in Civil Engineering (University of Texas at Austin, 2004) MSc in Engineering Hydrology (National University of Ireland, Galway, 2000) B.Engg. in Environmental Engineering (Shivaji University, India, 1997) His work includes floodplain mapping , hydrological modeling , and cyber-enabled hydrology education via tools like RWater and SWATShare . He has received awards such as the 2022 Purdue Individual Graduate Student Mentorship Award and 2018 Seed for Success for securing major research grants. Merwade collaborates with students and colleagues on flood prediction , soil moisture assimilation , and hydro-climatic impact analysis . His projects emphasize data-driven modeling , uncertainty quantification , and GIS integration for watershed management. He is affiliated with the Burke Hydraulics and Hydrology Lab and Purdue's Center for the Environment .

• Computational Fluid Dynamics (CFD)
• Wave Hydrodynamics
• Wave Modeling
• +۹ مورد دیگر

Hans Bihs is a Professor in the Department of Civil and Environmental Engineering, Faculty of Engineering. His research focuses on computational fluid dynamics (CFD), wave hydrodynamics, and wave-structure interaction using the open-source framework REEF3D. Key Research Areas: CFD simulations, wave modeling, floating body dynamics, ocean wave energy, aquaculture hydrodynamics, sediment transport, and high-performance computing. Projects: ERC Consolidator Grant PARTRES (2023-2028), EEA Grants Portugal SurfWave (2023), NFR KPN IPIRIS (2021-2025), EEA Baltic SolidShore (2021-2024), NTNU's MAPLE (2022-2025), and DigiCoast (2021-2024). Email: hans.bihs@ntnu.no His recent publications (2025-2020) analyze fluid-structure interaction, ship-induced waves, floating offshore wind turbines, submerged vegetation, and coastal structures using advanced CFD techniques. Topics include wave hydrodynamics, turbulence, and numerical modeling for marine and aquaculture systems.

• Underwater Acoustics
• Signal Processing
• Synthetic Aperture Sonar
• +۴ مورد دیگر

Alan Hunter is a Professor in Autonomous Systems at the University of Bath's Department of Mechanical Engineering. He serves as Deputy Head of Department for Workload and Wellbeing and is affiliated with the Water Innovation & Research Centre (WIRC) and the UKRI CDT in Accountable, Responsible and Transparent AI. His research focuses on underwater acoustics, signal processing, imaging, and machine intelligence, with applications in sonar-based remote sensing and marine robotics. Education: B.E. (Hons I) in Electrical and Electronic Engineering from the University of Canterbury (2001), PhD in Synthetic Aperture Sonar (SAS) from the same institution (2006). Career highlights include roles at the University of Bristol (2007-2010), TNO Netherlands (2010-2014), and NATO CMRE (2014). He has led projects on sub-sediment imaging, autonomous mine-hunting systems, and precision navigation algorithms. Research Interests: • Underwater Acoustics & Sonar Imaging • Autonomous Underwater Vehicles • Machine Learning for Acoustic Data Analysis • Non-Destructive Inspection via Ultrasound • Sustainable Coastal Protection (via UN SDG contributions) Active Projects (2023-2025+): - Noise Network Plus : Engineering a Quieter Future (EPSRC) - TESSMEX SR 4 : Naval Mine-Hunting Technology (Defence Lab) - Decision-Making with Ambiguities : Legal AI for Robotics (EPSRC) Professional Affiliations: • Senior Member, IEEE • Associate Editor, IEEE Journal of Oceanic Engineering • Collaborations with NATO, TNO, and UK Defence Orgs. Labs & Teams: • Robotics and Autonomous Systems Lab • Centre for Space, Atmospheric and Oceanic Science • WIRC @ Bath (Water Innovation Hub)

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Hao Liu is a researcher affiliated with institutions like Chinese Academy of Sciences , Beihang University , and Stanford University . His work spans Computer Science , Artificial Intelligence , and Robotics . Key affiliations: National Space Science Center (Beijing), School of Astronautics (Beihang), Key Laboratory of Pervasive Computing (Tsinghua) Research interests include Machine Learning , Image Processing , Graph Neural Networks , and Wireless Communication Optimization His recent publications focus on: Advanced control systems for fuzzy models Medical imaging via hyperspectral analysis Transformer-based approaches in NLP and vision Quantum-safe and edge computing protocols

Ruth Reefمشاهده پروفایل

دانشیار

• Coastal Dynamics
• Climate Change Impacts
• Environmental DNA Applications
• +۳ مورد دیگر

Ruth Reef is an Associate Professor at the School of Earth Atmosphere and Environment, Monash University. She leads the Coastal Research Group, focusing on coastal dynamics, climate change impacts, and environmental DNA applications. Her research emphasizes mangrove and coral reef ecosystems' resilience to sea level rise and human activity. She coordinates courses such as EAE3311 (Oceans and Coasts) and teaches EAE1022 (Earth, Atmosphere and Environment 2). Expertise: Coastal processes, sediment transport, climate adaptation, and ecosystem management. Projects: Includes studies on mangrove restoration in Vietnam, coastal wetland carbon fluxes, and bathymetry innovations via CoastBAT. Her work addresses UN Sustainable Development Goals related to climate action and sustainable ecosystems. Notably, she received the 2021 Award for Exceptional Educational Service to the Faculty of Science.

David Mohrigمشاهده پروفایل

استاد

• Sedimentary Geology
• Stratigraphy
• Geomorphology
• +۴ مورد دیگر

David Mohrig is a Professor in the Department of Earth and Planetary Sciences at the Jackson School of Geosciences, University of Texas at Austin, holding the Peter T. Flawn Centennial Chair in Geology. His research focuses on sedimentary deposits, transport processes, and the evolution of terrestrial and submarine landscapes. He employs laboratory experiments, field studies, and remote sensing to investigate channel formation, sediment dynamics, and subsurface deposits. Research Interests: Sedimentary Geology and Stratigraphy Geomorphology of Rivers, Deltas, and Coastlines Submarine Channels and Sediment-Gravity Currents Basin Analysis and Seismic Interpretation Key Contributions: Mohrig’s work integrates experimental methods with field observations to understand sediment transport mechanisms and their preservation in geological records. His research group has advanced understanding of fluvial and submarine processes, including deltaic deposits on Mars and coastal dynamics on Earth. Advising & Grants: Mohrig has advised numerous doctoral, master’s, and undergraduate students. He acknowledges support from grants like the IHS Markit Educational Grant for geoscience software. His lab facilities include state-of-the-art flumes and wind tunnels for sediment dynamics studies. Labs/Teams: The Mohrig Research Group uses specialized facilities such as the Deep Tank and 2D Wind Tunnel to simulate sediment transport and depositional processes. Collaborations span geology, engineering, and planetary science.

Ping Wangمشاهده پروفایل

استاد

• Coastal Geology
• Sedimentary Geology
• Coastal Sedimentary Processes
• +۴ مورد دیگر

Ping Wang is a Professor in the School of Geosciences at the University of South Florida. His research focuses on coastal geology, sedimentary processes, and coastal engineering. He holds a Ph.D. from the University of South Florida (1995). His expertise includes coastal sediment transport, hurricane impacts, and beach nourishment strategies. Education: Ph.D., University of South Florida, 1995 Research Interests: Coastal morphodynamics and sediment transport mechanisms Impact of hurricanes on barrier island systems Beach nourishment performance and coastal resilience Geoarchaeology of coastal sites Recent Work: Analyzing hurricane-induced sediment transport patterns (2025) Evaluating long-term effects of cyclic beach nourishment (2025) Investigating tidal circulation modifications in McKay Bay (2025) Advising: Current advisees include Jacob Adam, Kirsten Bendik, and others Focus on training students in field and remote sensing techniques Labs/Teams: Engaged in USF's coastal research initiatives, leveraging UAVs and numerical modeling for coastal monitoring.

Yeo Howe Limمشاهده پروفایل

استاد

• Water Resources Engineering
• Hydrologic Modeling
• Open Channel Hydraulics
• +۵ مورد دیگر

Dr. Yeo Howe Lim is a Professor and Department Chair of Civil Engineering at the University of North Dakota, with a focus on water resources engineering. He serves as Graduate Program Director for Civil and Environmental Engineering, teaching courses in fluid mechanics, hydrology, and applied hydraulics. Education: BEng & MEng from University of Canterbury, PhD from Memorial University of Newfoundland Research Areas: Open channel hydraulics, flood frequency analysis, streambank stabilization, urban stream revitalization, cold region hydrodynamics His research explores climate change impacts on flood patterns, hydrodynamic modeling of wetlands, and innovative use of Unmanned Surface Vehicles for aquatic studies. Recent publications emphasize lithium extraction technologies in oilfields, distributed Muskingum flood routing models, and optimization algorithms for cold climate water systems. Scientific awards include the Dean’s Outstanding Faculty Award (2013), ASCE Outstanding Reviewer recognition (2009), and the Institution of Civil Engineers (UK) Overseas Prize (2001). He has supervised numerous graduate students in hydrological modeling, including Mohammed Almousa and Vahid Atashi. Current projects involve HYCAT technology for bridge scour assessment, LiDAR bathymetry modeling, and climate change adaptation tools for cold region water management. His work bridges computational hydrology, hydraulic structure design, and sustainable water resource solutions.

Ben Hodgesمشاهده پروفایل

استاد

• Environmental and Water Resources Engineering
• Urban Stormwater Drainage Modeling
• Computational Fluid Dynamics (CFD)
• +۴ مورد دیگر

Ben Hodges is a Professor in the Civil, Architectural and Environmental Engineering (CAEE) Department at the University of Texas at Austin, holding the Marion E. Forsman Centennial Professorship in Engineering. He specializes in environmental and water resources engineering, with a focus on computational fluid dynamics (CFD), urban stormwater drainage modeling, and river dynamics. His research bridges hydraulics, geospatial analysis, and environmental fluid mechanics, addressing challenges like flood modeling, water distribution systems, and supersaturated dissolved gas management. Education: Ph.D., Civil Engineering, Stanford University (1997) M.S., Mechanical Engineering, George Washington University (1991) B.S., Marine Engineering/Nautical Science, U.S. Merchant Marine Academy (1984) Research Interests: Development of computational models (e.g., SPRNT, Frehd, SUNTANS) Oil spill transport modeling, saltwater intrusion, and continental river networks High-performance parallel algorithms and hydraulic simulation tools His work emphasizes practical applications, such as designing stormwater systems and predicting environmental impacts like oil spill trajectories. He collaborates on projects with organizations like IBM Research Austin and the U.S. EPA, contributing to tools like the SWMM5+ and PTSNet simulators. Hodges advises a dynamic graduate research group (JETlab) and maintains active involvement in academic conferences and international collaborations.

Alexander Kurapovمشاهده پروفایل

استاد مدعو

• Ocean Modeling
• Data Assimilation
• Coastal Oceanography
• +۷ مورد دیگر

Alexander Kurapov holds a Courtesy Appointment at Oregon State University within the College of Earth, Ocean, and Atmospheric Sciences, Department of Oceanography. He is actively engaged in research involving ocean modeling and data assimilation, with a focus on coastal and shelf processes along the U.S. West Coast and the Bering Sea. His research interests span oceanic data assimilation, coastal ocean modeling, wind-driven circulation, internal tides, shelf mixing, and nearshore flows. These areas are central to understanding coastal dynamics, climate variability, and improving ocean forecasting systems. The recent publications highlight a strong trend in high-resolution numerical modeling, variational and ensemble data assimilation techniques, and analysis of coastal and shelf-scale processes. Topics include internal tide dynamics, sea level variability, glider data integration, and wave-current interactions, primarily in the Pacific Northwest and Bering Sea regions. The work demonstrates consistent application of advanced modeling frameworks to real-world oceanographic problems. Alexander Kurapov has collaborated extensively with leading oceanographers at Oregon State University and beyond, contributing to major projects such as the US Integrated Ocean Observing System (IOOS). While no formal awards are listed, his body of work reflects significant contributions to coastal ocean science. He has advised or collaborated with numerous researchers, though specific students are not named. His work often involves model development, observational integration, and participation in multi-institutional efforts. Kurapov’s research is supported through collaborative grants and institutional resources, though specific funding sources are not detailed in the text. His work is closely tied to modeling teams at Oregon State University, particularly those involved in coastal ocean forecasting, data assimilation, and nearshore dynamics. He contributes to systems like the West Coast Ocean Forecast System (WCOFS) and participates in regional observational-modeling initiatives.

Peter Bauer-Gottweinمشاهده پروفایل

استاد

• Hydrology
• Water Resources Management
• Hydrogeophysics
• +۹ مورد دیگر

Peter Bauer-Gottwein is a Professor at the Water Systems Department of Space Research and Technology at the Technical University of Denmark. His research focuses on hydrology, water resources management, hydrogeophysics, and remote sensing techniques. Hydrology and Water Resources Hydrogeophysics and Remote Sensing Hydroeconomic Modeling and Satellite Data He actively uses UAV technologies and satellite altimetry in hydrological studies, with recent work on river monitoring and flood forecasting systems. His publications highlight interdisciplinary approaches combining geospatial technologies with environmental management. Current projects include: GNSS reflectometry for river monitoring UAV navigation systems Machine learning for flood prediction Arctic river modeling