Find Academic Supervisors

• Polar Science
• Arctic Marine Ecology
• Fisheries Management
• +3 more

Ole Arve Misund serves as a Professor at the Norwegian Fisheries College within UiT The Arctic University of Norway, Tromsø. His research spans polar science, Arctic marine ecology, fisheries management, and international relations in polar regions, with particular focus on Norway-Russia scientific cooperation dynamics following geopolitical shifts in 2022. His research interests center on climate change impacts on Arctic marine ecosystems, acoustic monitoring of marine organisms, and the geopolitical dimensions of polar research. Recent work examines boreal species migration into the Central Arctic Ocean, machine learning applications for backscatter analysis, and management frameworks for the Central Arctic Ocean. Analysis of his recent publications reveals strong interdisciplinary trends, integrating marine ecology with political science through studies of Russian-Norwegian scientific collaboration under sanctions, illegal fishing enforcement, and policy-relevant polar research. His work consistently bridges academic research with practical fisheries management and geopolitical considerations. Misund actively engages in science communication through Norwegian media outlets like Nordlys and Fiskeribladet, addressing topics from climate policy contradictions to Antarctic hydrological changes. His expeditionary work includes North Pole 2022 aboard the "Kronprins Haakon" research vessel. Professional activities demonstrate significant leadership in polar research infrastructure development and international scientific collaboration, particularly through the Norwegian Polar Institute where he contributes to strategic planning and policy advice. His work emphasizes evidence-based approaches to Arctic governance amid evolving geopolitical landscapes.

Daniel TrugmanView profile

Assistant Professor

• Seismology
• Earthquake Rupture Processes
• Seismic Hazard Analysis
• +4 more

Dr. Daniel Trugman is an Assistant Professor in the Department of Geological Sciences and Engineering at the University of Nevada, Reno (UNR), affiliated with the Mackay School of Earth Sciences and Engineering. He holds a BS in Geophysics from Stanford University and MS/PhD in Earth Sciences from Scripps Institution of Oceanography at UC San Diego. Previously, he was a Richard P. Feynman Postdoctoral Fellow at Los Alamos National Laboratory (2018–2020) and an Assistant Professor at the University of Texas at Austin (2020–2022). His research focuses on earthquake rupture processes, seismic hazards, and leveraging machine learning and big data in seismology. He leads projects at the Nevada Seismological Laboratory, investigating Nevada seismicity, fault interactions, and earthquake early warning systems. Education: • Ph.D., Earth Sciences, UC San Diego (2017) • M.S., Earth Sciences, UC San Diego (2015) • B.S., Geophysics, Stanford University (2013) Research interests include: Nevada seismicity and tectonics Earthquake source properties (stress drop, radiated energy) Seismic hazard analysis Machine learning for glacier dynamics and seismic monitoring Induced seismicity and fracking impacts Awards: Charles F. Richter Early Career Award (2023) Mousel-Feltner Award for Research Excellence (2023) His work integrates high-fidelity physical modeling with data-driven techniques, including studies on glacier basal sliding, ground motion prediction, and fault network complexity. He teaches courses on Python for Earth Sciences and earthquake engineering. Labs/Teams: Active member of the Nevada Seismological Laboratory and collaborates with the Southern California Earthquake Center (SCEC) and USGS.

Wang-Hung TseView profile

Researcher

• Applied Mathematics
• Pattern Formation
• Computational Biology
• +3 more

Dr. Wang-Hung Tse is a researcher and faculty member in the Department of Mathematics at Trinity Western University (TWU), affiliated with the Faculty of Natural & Applied Sciences. He holds a PhD from the University of British Columbia (2016) and an MPhil from The Chinese University of Hong Kong (2009). His primary research focuses on pattern formation in biological systems, nonlinear dynamics, and the integration of machine learning with experimental data analysis. He has contributed to studies on crime hotspot dynamics, biological morphogenesis, and satellite data assimilation. Dr. Tse has taught courses including Differential Equations (MATH 321), Calculus III (MATH 223), and Business Mathematics (MATH 101). His interdisciplinary research emphasizes reproducible outcomes and involves agent-based modeling, computational simulations, and mathematical analysis of complex systems. Recent work includes collaborations on sea surface temperature modeling and crime pattern stability. His research methodologies span applied mathematical analysis of singularly perturbed systems, numerical bifurcation methods, and high-performance computing for large-scale simulations. Key contributions include studies on localized stripe stability in reaction-diffusion systems and the interplay between Gaussian curvature and pattern formation on Riemannian manifolds.

• Marine Biology
• Environmental Science
• Oceanography
• +3 more

Inga Kirstein is a Scientist at the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, specializing in the Ecology of Shelf Sea Systems. She leads the Heligoland Roads long-term ecological time series, managing teams, laboratories, and data communication. Her research focuses on microbial food webs, biofilm communities, microplastic pollution, and long-term ecological dynamics. She contributes to projects like the FRAM Ocean Observing System and collaborates on initiatives such as the MOSAiC expedition. Her work bridges marine microbiology, environmental monitoring, and climate change impacts. Key contributions include studies on microplastic distribution in sediments and drinking water, microbial interactions in plankton blooms, and ecosystem resilience under climate stressors. Her publications highlight advancements in understanding microplastic toxicity, fungal communities on plastics, and the role of microbial necromass in carbon cycles. She emphasizes methodological rigor in detecting microplastics using FTIR and Raman spectroscopy. Her interdisciplinary approach addresses both fundamental ecological processes and applied challenges in environmental management.

Matthias HieberView profile

Professor

• Partial Differential Equations
• Fluid Dynamics
• Evolution Equations
• +3 more

Prof. Dr. Matthias Hieber is a Professor of Applied Analysis at the Fachbereich Mathematik, Technische Universität Darmstadt. His research focuses on Partial Differential Equations, Fluid Dynamics, Evolution Equations, and Harmonic Analysis. He leads the Applied Analysis research group and contributes to interdisciplinary projects involving geophysical fluid models. His editorial roles include Editor-in-Chief of Differential and Integral Equations and involvement with journals like Evolution Equations and Control Theory . Recent teaching activities include courses on Partial Differential Equations and Functional Analysis. He collaborates on DFG-funded projects analyzing nonlinear PDEs in geophysical contexts and liquid crystal dynamics. His work bridges pure mathematics with applications in fluid mechanics and climate modeling. Education: Doctorate in Mathematics (not explicitly stated, inferred from academic rank) Labs/Teams: Applied Analysis Research Group Grants: DFG Research Group on Geophysical Fluid Models, Humboldt Fellowship for Dr. Arnab Roy Research highlights include global well-posedness studies for the primitive equations and stochastic fluid models, analysis of liquid crystal dynamics, and rigorous justification of hydrostatic approximations. His contributions to operator theory and semigroup methods underpin many results in fluid dynamics and PDE analysis.

Adi KurniawanView profile

Research Fellow

• Wave Energy Conversion
• Wave-Structure Interactions
• Multi-Objective Optimization
• +3 more

Adi Kurniawan is a Research Fellow at the University of Western Australia (UWA) in the School of Earth and Oceans, affiliated with the Marine Energy Research Australia (MERA) and the Great Southern Marine Research Facility (GSMRF). His research focuses on wave energy conversion, wave-structure interactions, and multi-objective optimization. He holds a PhD in Marine Technology from NTNU and has held roles at Aalborg University and the University of Plymouth. Kurniawan co-authored Ocean Waves and Oscillating Systems and contributes to industry standards (Standards Australia Committee EL-066) and journal editing (Journal of Offshore Mechanics and Arctic Engineering). Research Interests: Wave energy converter (WEC) design and optimization Nonlinear wave dynamics and numerical modeling Multi-objective optimization of wave farms Parametric resonance mitigation in WECs Teaching: Previously taught OCEN4007 Renewable Ocean Energy. Active in the Oceans Graduate School, covering oceanography, hydrodynamics, and marine geoscience. Collaborations: Works with industry on sponsored projects, including wave energy device modeling and power prediction. Part of the UN SDGs contributing to sustainable energy solutions (SDG 7, 13, 14). Grants: Lead investigator on projects like 'Advancing ocean renewable energy systems through physics and machine learning' and 'WaveX Albany', totaling over $2M in funding. Projects emphasize scalability, cost reduction, and environmental impact assessments. Labs/Teams: Based at the GSMRF in Albany, collaborating with international partners on WEC testing and deployment strategies.

• Transport Pricing
• Econometric Applications in Maritime and Port Economics
• Sustainable Development Goals (SDGs) in Transport and Logistics
• +3 more

Mahinda Yapa Mudiyanselage is an Associate Professor at the Business School , Edinburgh Napier University , and Programme Leader for the MBA in Business Leadership & Practice. He teaches and supervises in areas including supply chain and logistics, operations management, and management research, with a focus on international student engagement and work-based learning projects. Research interests span transport pricing, econometric modeling in maritime and port economics, sustainable development goals (SDGs) in transport, logistics management, and transport infrastructure investment appraisal. His work connects theoretical frameworks with practical applications in global port systems, railway reform, and international transport policy. Recent publications emphasize econometric forecasting for transshipment hubs, SDG barriers in seaports, and the psychological dynamics of road traffic. Collaborative research addresses CSR in airports, maritime museum evolution, and innovative MBA pedagogy for diverse student cohorts. Young Colin Relf Award (2008) : Recognizing early-career contributions to rural transport research. Australian Development Scholarship : Supporting postgraduate research at the University of Tasmania. As an Editorial Member of Maritime Technology and Research and Journal of Maritime Logistics , he shapes discourse in maritime and logistics studies. He also reviews for journals including Transport Policy and International Journal of Logistics Research . Supervision roles include Director of Studies for Maximilian Eisenmenger’s PhD on circular economy in recycled cement supply chains and advisory roles for doctoral candidates in Singapore’s private education sector, children’s rights in Malaysia/Scotland, and workplace waste reduction in Saudi Arabia.

Carol SparlingView profile

Researcher

• Marine Mammal Science
• Tidal Energy
• Marine Spatial Planning
• +3 more

Carol Sparling is a Principal Investigator at the University of St Andrews' School of Biology and Director of the Sea Mammal Research Unit (SMRU) within the Scottish Oceans Institute. Her work focuses on marine mammal ecology, tidal energy impact assessment, and environmental monitoring. Director of Sea Mammal Research Unit Scottish Oceans Institute affiliation Active in NERC-funded tidal energy research Collaborates with Natural England and marine energy sectors Her research explores marine mammal behavior around tidal turbines, collision risk assessment, and environmental impact mitigation. Recent publications examine seal avoidance patterns, acoustic deterrents, and cumulative effects of marine energy developments. Key projects include SMRU NERC NC NPG Round 2 (2024-2029) and Photo-ID of bottlenose dolphins. She contributes to Marine Mammal Scientific Support Research Programme reports and develops monitoring technologies like multibeam sonar systems. Carol also serves as external examiner for PhD theses and provides expert consultancy to organizations like Police Scotland. Her work aligns with UN Sustainable Development Goals 14 (Life Below Water) and 7 (Affordable & Clean Energy).

• Artificial Intelligence
• Neural Networks
• Machine Learning
• +12 more

Burak Berk Üstündağ is a Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University (ITU). He has been a key academic figure at ITU since the 1990s, progressing through the ranks from Research Assistant to full Professor, a position he attained in 2019. He has also held significant administrative roles, including Director of the Application and Research Center and membership in the ITU Informatics Institute Management Board. PhD, Control and Computer Engineering, Istanbul Technical University (2000) MSc, Control and Computer Engineering, Istanbul Technical University (1994) BSc, Electrical Engineering, Istanbul Technical University (1991) His research is deeply rooted in Artificial Intelligence , with a focus on Neural Networks , Wavelet-based models , and machine learning applications in environmental, agricultural, and maritime domains. He has developed frameworks like PECNET for multivariate time series forecasting and has pioneered work in cognitive communication systems, particularly for underwater and agricultural monitoring. His work bridges theoretical AI models with real-world applications in precision agriculture, water quality monitoring, and ionospheric forecasting. The most recent articles show a strong trend in applying deep learning (LSTM, DNNs) and hybrid models (Wavelet-NN) to complex, real-time systems. His research spans environmental data science , smart agriculture , underwater acoustics , and cognitive risk management . He emphasizes performance, real-time operation, and intelligence quantification in AI systems. His scientific awards include: Outstanding Young Scientist of the Year (2004) Junior Chamber International - Year's Professional Award (2003) Yılın Meslek Ödülü (2002) Service Award from Air Force Academy (2000) Gelişimine Katkı Ödülü from ITU (1996) Prof. Üstündağ has actively supervised research and led multiple projects as Principal Investigator, including national and institutional grants in AI-driven software systems, social media robots, real-time cognitive risk management, and elderly support devices. He has advised students in AI, neural networks, and intelligent systems, though specific names are not listed. His lab activities are centered around the Software Development Laboratory and cognitive systems research under various funded projects.

Chambers C. HughesView profile

Researcher

• Microbial Natural Products
• Chemical Biology
• Synthetic Organic Chemistry
• +3 more

Chambers C. Hughes is a Research Group Leader in the Department of Microbial Bioactive Compounds at the University of Tübingen, Germany. Previously, he held positions as an Assistant Professor at the Scripps Institution of Oceanography (2012–2019) and a postdoctoral researcher with Prof. William Fenical (2005–2012). His research focuses on microbial natural product discovery, synthesis, and chemical biology, particularly employing reactivity-guided isolation and bioactivity-guided approaches to uncover novel bioactive compounds. His group has pioneered methods using chemoselective probes to target metabolites with specific functional groups, enabling the discovery of siderophores, antibiotics, and other secondary metabolites. Education: B.S. in Biochemistry, Geneseo College (1999) Ph.D. in Chemistry, University of California, Berkeley (2004) Research Interests: The Hughes Group explores microbial natural products using cutting-edge techniques like NMR spectroscopy and mass spectrometry. They focus on marine and terrestrial organisms, emphasizing the development of chemical labeling strategies to identify electrophilic compounds (e.g., epoxides, β-lactams) and conjugated alkenes. Their work bridges synthetic chemistry and biological activity, targeting antibiotic discovery, enzyme inhibition, and metabolic pathway elucidation. Notable Contributions: The group has characterized marinopyrroles (protonophoric antibiotics), kasichelins (siderophores), and vatiamides (polyketide natural products). Their methods have revealed artifacts in previously reported natural products and enabled genome-mining approaches to de-orphan biosynthetic gene clusters. Students & Collaborations: Current students include Shu-Ning Xia, Sehee Jang, Luca Salvi, and Max Knab. Collaborations span microbiology, synthetic chemistry, and bioinformatics, with key partners at the University of Tübingen and Scripps Oceanography. Labs & Facilities: The Hughes Research Group operates within the Interfaculty Institute of Microbiology and Infection Medicine, leveraging advanced analytical tools for natural product characterization and synthesis.

Yonggang LiuView profile

Associate Professor

• Ocean Circulation
• Coastal Ocean Observing
• Numerical Modeling
• +7 more

Dr. Yonggang Liu is an Associate Professor at the University of South Florida College of Marine Science , specializing in Physical Oceanography . He leads the Ocean Circulation Lab and focuses on coastal ocean dynamics, air-sea interactions, and environmental applications. Education: PhD in Physical Oceanography from University of South Florida, Postdoctoral work at University of Washington Email: yliu@usf.edu His research interests include: Coastal ocean circulation and Loop Current interactions Real-time monitoring systems (COMPS, TBON, HF Radar) Numerical modeling (WFCOM, TBCOM, EFCOM) Harmful algal bloom prediction (Karenia brevis) Storm surge and Sargassum tracking Pollutant/oil spill transport modeling Recent publication trends show expertise in: Coastal ocean model validation Eddy-resolving numerical simulations Machine learning applications (Self-Organizing Maps) Marine environmental hazard response Multi-decadal circulation analysis Hydrodynamic-biogeochemical coupling He contributes to scientific leadership as: Editor for Artificial Intelligence for the Earth Systems Guest Editor for Ocean Science Science Committee member at SECOORA

• Data Assimilation
• Environmental Modeling
• Geophysical Fluid Dynamics
• +7 more

Dr. Polly Smith is a research-focused academic affiliated with the Department of Mathematics and Statistics at the University of Reading, within the School of Mathematical, Physical and Computational Sciences. She has been actively publishing since 2007, with a strong emphasis on data assimilation techniques applied to environmental and geophysical systems. Her research interests center on data assimilation , parameter estimation , and model predictability in complex dynamical systems. These include sea-ice models, fluvial inundation forecasting, morphodynamic modeling of coastal systems, and strongly coupled atmosphere-ocean models. Her work combines advanced numerical methods with real-world environmental data to improve forecasting accuracy and model reliability. The recent publications show a trend toward interdisciplinary applications, integrating satellite remote sensing, image-based monitoring, and hybrid variational-ensemble data assimilation methods. Her work spans climate science, hydrology, and coastal engineering, demonstrating a consistent focus on improving predictive capabilities in Earth system modeling. Scientific Awards: No awards explicitly mentioned in the provided text. Dr. Smith has collaborated extensively with leading researchers such as Sarah L. Dance, Nancy K. Nichols, and Andrew S. Lawless. While no formal students or advising roles are listed, her frequent first-author status and technical reports suggest a leadership role in research projects. There is no mention of specific grants, but her work aligns with major environmental modeling initiatives. She has contributed to both peer-reviewed journals and conference proceedings, including the International Conference on Coastal Engineering. Dr. Smith's research is supported by the computational and mathematical infrastructure at the University of Reading. Her work is part of a larger effort in environmental prediction, likely involving collaborations within the university’s meteorology and climate research groups. While no dedicated lab is named, her research falls within the scope of data-driven environmental modeling teams at Reading.

Mackenzie L. SmithView profile

Researcher

• Atmospheric Chemistry
• Environmental Science
• Greenhouse Gas Emissions
• +7 more

Mackenzie L. Smith is a researcher specializing in atmospheric chemistry and environmental science, with a strong focus on quantifying methane, ethane, and black carbon emissions from oil and gas operations. Their work employs airborne measurement techniques, including aircraft-based mass balance methods and remote sensing, to assess emissions across diverse regions such as the Barnett Shale, Bakken formation, Four Corners region, and offshore Gulf of Mexico. This research plays a critical role in evaluating and improving national emissions inventories and informing climate policy. Their research interests span methane emissions , air quality , greenhouse gas monitoring , fossil fuel infrastructure , and atmospheric particulate matter . By combining field measurements with data analysis, Smith contributes to understanding the environmental impacts of energy production and identifying mitigation opportunities. The publication record shows a consistent trend in using airborne platforms to measure emissions from oil and gas systems , including compressor stations, flares, power plants, and offshore platforms. The studies often compare measured emissions to regulatory inventories, revealing significant discrepancies and advocating for updated emissions factors and monitoring practices. Key themes include emission skewness , source attribution , and measurement reconciliation across different platforms. Scientific Awards: No awards listed in the provided text. Advising and Grants: No information on students or advising roles is available. No direct mention of grants or funding sources is provided, though the scale of airborne campaigns suggests involvement in federally or institutionally funded research projects. Labs and Research Teams: While specific lab affiliations are not stated, the collaborative nature of the research—evident from co-authorship with scientists from NOAA, universities, and research institutes—indicates active participation in interdisciplinary environmental research teams focused on atmospheric measurements and climate science.

Anna Walsh-VilanderView profile

Research Fellow

• Meteorology
• Oceanography
• Atmospheric Science
• +2 more

Anna Walsh-Vilander serves as a Doctoral Research Fellow at the Section for Meteorology and Oceanography within the Department of Geosciences at the University of Oslo. The department operates under the Faculty of Mathematics and Natural Sciences and maintains facilities across multiple campus buildings including the Kristine Bonnevies Building where the meteorology section is housed. Her research focuses on earth system sciences with specialization in: Atmospheric dynamics and weather systems Ocean-atmosphere interactions Climate modeling and prediction Marine meteorological processes Based at Blindernveien 31 in Kristine Bonnevies hus (0371 Oslo), she contributes to the department's mission of advancing geoscientific knowledge through research spanning from deep earth processes to atmospheric phenomena. The Department of Geosciences, formed in 2003 through merger of three earth science departments, provides infrastructure for cross-disciplinary collaboration in environmental research.

• Wave Energy
• Marine Renewable Energy
• Electrical Engineering
• +3 more

Jan Sundberg is a Professor of Electrical Engineering at Uppsala University, specializing in ecological aspects within the Department of Electrical Engineering at The Ångström Laboratory. His research spans two distinct but equally significant fields: wave energy technology and marine renewable energy systems, and earlier work in avian ecology focusing on yellowhammers. His research interests center on the intersection of electrical engineering and environmental science, with particular focus on wave energy conversion systems, ecological impact assessment of marine renewable energy installations, and underwater acoustic monitoring techniques. Sundberg has made significant contributions to understanding how wave energy converters interact with marine ecosystems, including fish behavior, marine mammal responses, and benthic community development around energy infrastructure. Analysis of Sundberg's publication record reveals a clear evolution of research focus. Beginning with ornithological studies in the 1990s examining yellowhammer mating behaviors and plumage coloration, his work transitioned toward renewable energy research in the early 2000s. Since 2005, his publications have predominantly focused on wave energy technology, with particular emphasis on environmental monitoring using sonar systems, ecological impacts of marine energy installations, and operational characteristics of wave energy converters. His most recent work (2020-2023) demonstrates sophisticated approaches to monitoring marine life interactions with renewable energy infrastructure using advanced sonar technologies. Sundberg has been actively involved with the Lysekil Research Site in Sweden, a key facility for wave energy research where he has contributed to numerous studies examining noise emissions, ecological impacts, and operational characteristics of wave energy converters. His work often involves interdisciplinary collaboration with marine biologists, environmental scientists, and engineering specialists.