جست‌وجوی استاد و پژوهشگر

Meredith Metcalfمشاهده پروفایل

استاد

• Natural and anthropogenic contaminants in drinking water
• Groundwater flow in fractured rock aquifers
• GIS and public health

Meredith Metcalf serves as a Professor in the Department of Environmental Earth Science at Eastern Connecticut State University, based in Science Room 263 with contact email metcalfm@easternct.edu. Her office hours are Mondays and Wednesdays from 11:00 a.m. to 12:30 p.m. and Thursdays from 11:00 a.m. to 1:00 p.m. Her educational foundation includes: Bachelor of Science in Geology from Colgate University Master of Science in Geology and Geophysics from the University of Connecticut Ph.D. in Natural Resources and the Environment (hydrogeology concentration) from the University of Connecticut Research centers on critical hydrogeological challenges: Natural and anthropogenic contaminants in drinking water sources Groundwater flow dynamics within fractured rock aquifers Geospatial analysis applications for public health interventions She leverages Geographic Information Systems to investigate groundwater sustainability, quality assessment, and flow pattern modeling in complex fractured-rock environments, addressing pressing environmental and societal needs. Publications from 2013-2018 reveal consistent expertise in fractured-rock hydrogeology, with emphasis on contamination mechanisms, sustainability metrics, and educational GIS applications. Her collaborative approach frequently integrates student researchers into fieldwork and analytical projects. No scientific awards are documented in the provided materials. Mentorship is central to her academic practice, exemplified by co-authoring a 2018 student-led conference presentation involving ten undergraduates. While specific grant funding isn't detailed, her sustained student collaborations demonstrate active research supervision and curriculum development. Though no dedicated laboratory is specified, her work consistently employs GIS technology through student-driven projects focused on environmental problem-solving.

• Exposure Science
• Indoor Air Quality
• Environmental Pollution
• +۶ مورد دیگر

Dr. Marie Coggins is a researcher in Exposure Science at the School of Physics and the Ryan Institute, National University of Ireland, Galway. Her work focuses on environmental and occupational exposure assessment, particularly in indoor air quality and human biomonitoring of pollutants. Research Interests: Her primary research areas include Exposure Assessment , Indoor Air Quality , Environmental Pollution , and Occupational Exposure . She investigates chemical contaminants such as neonicotinoids and flame retardants in residential, occupational, and waste environments, often using human biomonitoring and environmental sampling. Publication Trends: Her recent publications (2020–2025) show a consistent focus on exposure to synthetic chemicals in everyday environments, with an emphasis on Irish populations and building stock. Her work bridges environmental science, public health, and policy compliance, especially in assessing regulatory effectiveness and health risks. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no information available on students she may have advised or grants she has led. However, her extensive co-authorship network (129 co-authors) suggests active collaboration and likely involvement in funded research projects. Labs and Teams: She is affiliated with the Ryan Institute, a research center at NUI Galway focused on environmental, marine, and energy research, and the School of Physics, indicating interdisciplinary work in environmental physics and exposure science.

Jessica Hoffmanمشاهده پروفایل

استادیار

• Aging Biology
• Genomic Medicine
• Metabolomics
• +۳ مورد دیگر

Jessica Hoffman is an Assistant Professor at Georgia Augusta University's College of Science and Mathematics, Department of Biological Sciences. She also holds appointments at the Department of Genomic Medicine and The Graduate School, working closely with the Dog Aging Project. Ph.D., Genetics, University of Georgia (2015) BS, Biology, Clemson University (2008) Her research focuses on aging biology through metabolomics and microbiome studies, using diverse models including dogs, mice, and fruit flies. Key areas include dietary restriction mechanisms, sex differences in aging, and inflammaging processes. 2023-2025 publications highlight metabolomic profiling (2025), microbiome interventions (2025), and cross-species aging comparisons (2024). Recent work explores mitochondrial dysfunction (2023), dietary stochasticity (2025), and canine aging models (2024). She teaches courses from undergraduate research to genomic medicine seminars, with expertise in evolutionary biology and translational metabolomics.

Sebastian H. Trippelمشاهده پروفایل

پژوهشگر

• Molecular Physics
• Quantum Dynamics
• Laser-Matter Interaction
• +۳ مورد دیگر

Dr. Sebastian H. Trippel is a Team Leader at the Center for Free-Electron Laser Science (CFEL), part of Deutsches Elektronen-Synchrotron (DESY) in Hamburg, Germany. His research focuses on imaging chemical dynamics, particularly internal rearrangement processes of small molecules in the gas phase using advanced laser and imaging techniques. Education: Dissertation at Albert-Ludwigs-Universität Freiburg (2005-2010) Diploma at Albert-Ludwigs-Universität Freiburg (2003-2005) Dr. Trippel's research centers on quantum-state-selected molecules fixed in space with laser fields, studying processes like cis-trans isomerization and laser alignment dynamics. His work employs Coulomb explosion in combination with velocity-map imaging to probe molecular orientation and structural changes upon laser excitation. He specializes in ultrafast molecular dynamics and imaging techniques, with applications spanning atmospheric chemistry, radiation protection, and materials science. His recent publications demonstrate a strong focus on molecular beam injection systems, water dimer dynamics, polycyclic aromatic hydrocarbons, and advanced detector technologies like Timepix3. His research bridges physics, chemistry, and instrumentation, with significant contributions to understanding fundamental molecular processes through innovative experimental approaches. Dr. Trippel leads research efforts at CFEL/DESY, collaborating with numerous international partners across Europe. His team develops sophisticated experimental setups for molecular imaging and dynamics studies, contributing significantly to the field of ultrafast science and advancing capabilities at European x-ray free-electron laser facilities.

Victoria Kostinaمشاهده پروفایل

استاد

• Information Theory
• Coding Theory
• Wireless Communications
• +۴ مورد دیگر

Victoria Kostina is a Professor of Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). Her research bridges information theory , coding theory , and wireless communications , with a focus on the nonasymptotic regime to understand fundamental limits of delay-constrained systems. Bachelor's, Moscow Institute of Physics and Technology Master's, University of Ottawa PhD, Princeton University Her work explores the intersection of random processes , concentration of measure , and control theory to develop theoretical frameworks for modern communication systems. She has pioneered techniques for finite blocklength information theory and feedback communication , analyzing stability and performance in stochastic environments. Victoria's publications span channel coding , source-channel coding , and control with communication constraints , with a focus on practical applications in real-time systems . Her research has advanced the understanding of data compression , error exponents , and quantization in nonasymptotic scenarios. Notable scientific recognitions include: Princeton Electrical Engineering Best Dissertation Award (2013) NSF CAREER Award (2017) J. K. Wolf ISIT Student Paper Award Finalist (2021) She actively supervises students in the Computing and Mathematical Sciences (CMS), Control and Dynamical Systems (CDS), and Electrical Engineering (EE) PhD programs and leads the development of the SPECTRE Toolbox for finite blocklength information theory.

Susan Allenمشاهده پروفایل

استاد

• Environmental Toxicology
• Microplastics Research
• PFAS Research
• +۵ مورد دیگر

Susan Allen is Professor and Chair of the Department of the Environment at Ithaca College's School of Humanities and Sciences. She leads the IC EcoTox Lab, an undergraduate research laboratory focused on environmental toxicology in freshwater systems. Her office is located in the Center for Natural Sciences 253 in Ithaca, NY. Her educational background includes: Ph.D. in Toxicology from Oregon State University (1995) M.E.M. from Duke University (1989) B.Sc. from St. Lawrence University (1984) Dr. Allen's primary research focuses on environmental toxicology in freshwater systems, with particular emphasis on microplastics in the Cayuga Watershed, tire wear particles and their effects on fish and daphnia, and 'forever chemicals' (PFAS) in the Ithaca area. Her work bridges laboratory analysis with field research to understand how pollutants affect ecological systems. While her Ph.D. research focused on long-range transport of air pollutants into remote areas, she now concentrates on locally-based environmental research with direct community impact. Her research has gained significant attention, with findings being cited in legal challenges regarding PFAS discharge into Cayuga Lake and featured in local media coverage. The EPA's April 2024 standards for PFAS in drinking water align with her research focus on these emerging contaminants. Notable recognitions include: Presenting her lab's work to the Ithaca College Board of Trustees as an illustration of the college's theory of practice and performance pedagogy Multiple features in the Ithaca Times Collaboration with Cornell Cooperative Extension Media appearances including WICB and IC TV Dr. Allen actively mentors undergraduate researchers through the IC EcoTox Lab, with many alumni going on to graduate programs at institutions including University of California-Berkeley, Michigan State University, John Hopkins University, Indiana University, and Oregon State University. Her students pursue advanced degrees in Environmental Toxicology, Biogeochemistry, Environmental Engineering, and Public Health. The IC EcoTox Lab conducts both independent and group research projects, including analysis of tire wear particle leachate effects on juvenile fathead minnows, PFAS data analysis from public drinking water facilities, and microplastic sampling in local waterways. The lab emphasizes community outreach, providing education to the Tompkins County community about environmental pollutants and their impacts.

Xiaohui Liuمشاهده پروفایل

استاد

• Intelligent Data Analysis
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Professor Xiaohui Liu is a distinguished Professor of Computing at Brunel University London, serving within the Computer Science department of the College of Engineering, Design and Physical Sciences. He maintains his office in the Wilfred Brown Building (Room 218) and has established himself as a leading figure in intelligent data analysis and artificial intelligence research. With over 20 years of academic leadership, Professor Liu has held significant visiting appointments including Honorary Pascal Professor at Leiden University (2004), Visiting Scientist at Harvard Medical School (2005), and Visiting Professor at the Chinese Academy of Sciences (2010). Professor Liu's research spans intelligent data analysis, deep learning, dynamical systems, human factors, innovative AI applications, optimisation, statistical pattern recognition, and trustworthy decision making. His work bridges theoretical advances with practical implementations across various industries, demonstrating exceptional translational impact. He has pioneered approaches that integrate artificial intelligence with data science to enable effective data interpretation and trustworthy decision-making systems, with applications spanning healthcare, manufacturing, and business domains. Analysis of Professor Liu's recent publications reveals a strong focus on transformer architectures, transfer learning, and optimization techniques applied to real-world problems. His work demonstrates consistent innovation in neural network architectures, particularly for anomaly detection, fault diagnosis, and recommendation systems. The publications show interdisciplinary applications spanning manufacturing, healthcare, digital marketing, and network science, reflecting his commitment to solving practical challenges through advanced computational methods. Clarivate Highly Cited Researcher for 11 consecutive years (2014-2024) World's top 2% of scientists by Stanford University (2020-2024) ScholarGPS Highly Ranked Scholar – Lifetime: Neural Network (2022-2024) Daniel Berg Award (2023) Research.com United Kingdom Leader Award in Computer Science (2023-2025) IDA Founders Award (2025) Professor Liu has secured substantial research funding from diverse sources including the European Commission, Innovate UK, Royal Society, and EPSRC. His current projects include AI-assisted tax assessment, intelligent data-driven pipelines for manufacturing certified metal parts, and maintenance models for zero-unexpected-breakdowns. He leads collaborative efforts through knowledge transfer partnerships with industry partners like Veritas Advisory Limited and has directed multiple European Commission-funded initiatives focused on IoT platforms, water resource management, and predictive maintenance systems. His research group actively mentors PhD students and collaborates with international partners across multiple continents. Professor Liu leads research activities within the IEHS and CSSB research groups at Brunel University, fostering interdisciplinary collaboration between computer scientists, engineers, and domain experts. His teams integrate expertise in neural networks, optimization algorithms, and statistical pattern recognition to develop innovative solutions for complex real-world problems. The research environment emphasizes both theoretical rigor and practical application, with strong industry partnerships ensuring that research outputs deliver tangible societal and economic impact.

Markus Bohlinمشاهده پروفایل

استاد

• Applied Artificial Intelligence
• Railway Systems
• Transportation Engineering
• +۵ مورد دیگر

Markus Bohlin serves as Professor (on leave) at Mälardalen University within the School of Innovation, Design and Engineering's Division of Product Realisation. He concurrently holds leadership roles as Dean of the School of Business Society and Engineering, Division Manager for Product Realization, and School Director for the INDTECH Industrial Graduate School. His academic credentials include: Doctoral thesis defended at Mälardalen University (2009) Associate professorship (docent) granted at Mälardalen University (2013) Adjunct professorship in rail traffic systems analysis at KTH Royal Institute of Technology (2014) Full professorship in Computer Science with Applied AI focus at Mälardalen University (2019) Bohlin's research centers on Applied Artificial Intelligence across critical infrastructure domains. His primary focus areas include: Railway systems optimization and freight logistics Cyber-physical systems for construction automation Machine learning applications in manufacturing quality control Simulation-assisted decision support systems His work bridges theoretical AI with industrial implementation in transportation, production, and power systems. Recent publications demonstrate a clear trajectory toward integrating machine learning with simulation modeling for real-world problem solving, particularly in railway punctuality optimization, construction site autonomy, and manufacturing defect detection. This interdisciplinary approach consistently targets high-impact industrial applications. Bohlin has held significant leadership positions including: President of the Swedish Operations Research Association (2012-2016) Member of Trafikverket Board on Capacity in Railways Program chair for ICROMA 2019 and multiple national conferences His academic supervision includes 4 completed PhDs, 9 licentiate degrees, and 5 ongoing doctoral candidates. With 20+ years of experience managing organizations up to 60 employees and 40+ projects (including H2020 initiatives), he brings substantial operational expertise to research commercialization. Current leadership roles encompass the Product Realisation division and INDTECH Industrial Graduate School, driving industry-academia collaboration in innovation and engineering.

Frank Tuylمشاهده پروفایل

مدرس

• Applied Statistics
• Biostatistics
• Statistical Theory
• +۳ مورد دیگر

Dr. Frank Tuyl is a Lecturer at the University of Newcastle, affiliated with the College of Engineering, Science and Environment and the School of Information and Physical Sciences , with a focus on Data Science and Statistics . He holds a PhD in Statistics from the University of Newcastle and has over 20 years of experience in statistical and operations research consulting across manufacturing, IT, academia, and health sectors. Research Expertise: Applied Statistics, Biostatistics, Statistical Theory Email: frank.tuyl@newcastle.edu.au Dr. Tuyl specializes in Bayesian methods and applications, particularly in prior elicitation, posterior predictive distributions, and handling zero-event scenarios in statistical modeling. His work spans healthcare monitoring, tobacco use projections, financial statistics, and clinical prediction rules. He has contributed to the development of credible intervals for probabilistic evidence in physical therapy and epidemiology. His 2024 article in Statistical Science revisits Jeffreys' century-old prior point mass methodology for binomial distributions, while earlier works focus on Bayesian consensus priors, multinomial models, and global tobacco trends. His publications demonstrate a consistent application of Bayesian inference across public health, clinical diagnostics, and industrial statistics. Supervision and Grants: Dr. Tuyl has served as Principal or Co-Supervisor for four PhD completions. He has secured 10 grants totaling $638,341, primarily from the World Health Organization, Department of Health and Aged Care (Australia), and internal University of Newcastle funds. Projects include mortality impact analysis for tobacco interventions, Bayesian hierarchical modeling, and statistical tool development for the WHO Interactive Smoking Projection Tool.

Edgar Turnerمشاهده پروفایل

پژوهشگر ارشد

• Biodiversity Conservation
• Tropical Ecology
• Climate Change Impact on Ecosystems
• +۳ مورد دیگر

Edgar Turner is a Research Fellow at the University of Cambridge's Department of Zoology, specializing in biodiversity conservation in human-dominated landscapes. His work spans the UK and Southeast Asia, focusing on insects and ecosystem processes. Key Affiliations: Bedfordshire, Cambridgeshire & Northamptonshire Wildlife Trust, Wiltshire Wildlife Trust, RSPB, Sinar Mas Agro Resources & Technology Research Institute, Universiti Putra Malaysia, IPB University Bogor, Wild Asia. Research Interests: Turner investigates climate change adaptation strategies in UK nature reserves and sustainable oil palm management in tropical regions. Projects include artificial butterfly banks to manipulate microclimates and restoring river margins in existing plantations. Large-scale field experiments assessing management impacts on biodiversity Public engagement through the Museum of Zoology's collections Focus on insects, particularly butterflies and arthropods in agroecosystems Recent Publications highlight oil palm cultivation effects on arthropods, climate change mitigation in tropical forests, and thermoregulatory strategies in insects. His work bridges tropical agriculture sustainability and UK grassland conservation.

Tian Haoمشاهده پروفایل

مدرس

• Embodied intelligent learning in robots
• Simulation and planning of dexterous grasping
• Human-robot interaction
• +۳ مورد دیگر

Tian Hao is a Lecturer at the School of Big Data and Computer Science , Guizhou Normal University . He received his B.Eng. and Ph.D. in Engineering from the School of Software Engineering at East China Normal University in 2014 and 2020, respectively. During his doctoral studies, he was jointly trained at the University of Maryland under the China Scholarship Council program. From 2020 to 2022, he was a postdoctoral fellow in the Department of Computer Science and Technology at the University of Hong Kong . Prior to joining Guizhou Normal University in June 2024, he served as a Senior Engineer and Team Leader at Huawei HiSilicon's Turing Robotics division. Education: 2010–2014: B.Eng., School of Software Engineering, East China Normal University 2014–2020: Ph.D. in Engineering, School of Software Engineering, East China Normal University 2018–2019: Joint Doctoral Training, University of Maryland, USA 2020–2022: Postdoctoral Fellow, Department of Computer Science and Technology, University of Hong Kong Research Interests: Tian Hao's research spans embodied intelligent learning in robots , dexterous grasping simulation and planning , human-robot interaction , and virtual/augmented reality (VR/AR) . His work integrates machine learning, computer graphics, and robotics to enable robots to manipulate complex objects in cluttered or virtual environments. Publications & Trends: His publications (2016-2023) consistently focus on robotic grasping and manipulation , virtual hand interaction , and real-time simulation . Notable venues include IEEE Transactions on Robotics , IEEE VR , and ICRA , reflecting an emphasis on high-impact robotics and graphics venues. Scientific Awards: No specific awards are listed in the provided text. Grants & Projects: Research on 3D Design and Dexterous Robot Sewing Technology for Personalized Garment Manufacturing (NSFC-RGC, 2017-2020) Visual model and environment construction based on multi-source data and its dynamic simulation (NSFC, 2016-2020) Quadruped robot dog autonomous inspection solution based on Ascend AI platform (Huawei HiSilicon) Ascend-based balloon robot platform (Huawei HiSilicon) Labs & Teams: He lectures at the Robot Operating System (ROS) Summer School in China and serves as a reviewer for premier IEEE journals and conferences, indicating active engagement in the robotics and VR communities.

Markus Fidlerمشاهده پروفایل

استاد

• Performance of Communication Systems
• Network Calculus
• Effective Bandwidths
• +۱۳ مورد دیگر

Prof. Dr.-Ing. Markus Fidler is a Professor of Communications Networks at the Institute of Communications Technology , affiliated with the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2009. His academic journey began with a doctoral degree in Computer Engineering from RWTH Aachen University (2004), followed by post-doctoral fellowships at Institute Mittag-Leffler (2004), NTNU Trondheim (2005), and University of Toronto (2006). He led the Emmy Noether Research Group at Technische University of Darmstadt (2007-2008), where he also earned his habilitation (2008). His research interests span Network Calculus , Effective Bandwidths , Available Bandwidth Estimation , and Parallel Systems (e.g., Multi-path Protocols, Synchronization Constraints). He explores Future Internet architectures, Wireless Communication (including Cognitive Radio and Car-2-X systems), and Congestion Control for Cooperative ADAS and Platooning. His work integrates Machine Learning and Stochastic Modeling for network performance analysis. Recent publication trends emphasize Age-of-Information (AoI) in tandem queues, Statistical Bounds for parallel systems, and Granularity Trade-Offs in multi-server environments. He applies Min-plus Algebra to AoI modeling and investigates Hybrid Time-Event Triggered Systems for resource-efficient communication. His projects include ADINeMo (2024) on Deviation-of-Information for sensor sampling and VaMoS 2 (2024) on validated models for MapReduce scaling. Scientific Awards ERC Starting Grant (2012) Advising includes current doctoral students Sami Akin , Brenton Walker , and Mahsa Noroozi , alongside numerous past advisees now holding academic positions globally. He leads DFG-funded projects such as FeelMaTyC (2017-2020) and GRK SocialCars (2014-2023), focusing on IoT, cooperative mobility, and network calculus applications.

Karsten Breddermannمشاهده پروفایل

پژوهشگر ارشد

• Fluid-Structure Interaction
• Computational Fluid Dynamics
• Underwater Vehicles
• +۵ مورد دیگر

Karsten Breddermann is a Research Fellow at GEOMAR Helmholtz Centre for Ocean Research Kiel, affiliated with Research Division 4: Dynamics of the Ocean Floor and the Magmatic and Hydrothermal Systems unit. He leads the 'Seafloor Modelling' working group. His research focuses on fluid-structure interactions, computational/experimental fluid dynamics, and underwater vehicle design. Key projects include optimizing fishing gear hydrodynamics (SimuNet), assessing lithium-rich geothermal brine flows, and developing sustainable aquaculture systems. Research Interests: Breddermann specializes in hydrodynamic modeling of marine systems, including fluid-environment interactions, fishing gear optimization, and deep-sea technology. His experimental work spans wind tunnels, towing tanks, and sea-based measurements. Publication Trends: His 15 most recent articles (2011–2024) predominantly address hydrodynamic modeling in marine engineering contexts. Key themes include drag/lift coefficient analysis, fluid-structure interactions in fisheries technology, and pressure-tolerant deep-sea systems. Computational fluid dynamics (CFD) and experimental validation are consistent methodologies. Projects & Collaborations: Notable projects include bycatch reduction initiatives with Technical University of Denmark (2020–2021), hydrokinetic turbine development (2016–2017), and EU-funded Baltic IMTA aquaculture systems (2013–2016). He collaborates internationally with institutions in Denmark, the USA, and Germany. Infrastructure: Utilizes experimental facilities including wind tunnels, towing tanks, and unmanned underwater vehicles for hydrodynamic validation.

Raoof Kosaiمشاهده پروفایل

پژوهشگر

• Acoustics
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Raoof Kosai is a researcher at Le Mans Université specializing in acoustics, signal processing, and wireless communication. His work bridges UAV detection, biomedical sensors, and machine learning. Research Focus: Acoustic localization, drone detection, acoustic myography, and non-orthogonal multiple access (NOMA) systems. Collaborations: Active in projects involving environmental sound classification, medical diagnostics, and sensor network optimization. Key Research Areas include: Acoustic signal processing for UAV tracking Machine learning in biomedical applications (e.g., diabetic neuropathy diagnostics) Optimization of SCMA systems for enhanced communication quality Design of noise-robust sensor arrays and acoustic chambers Recent Publications highlight advancements in beamforming algorithms, deep learning for gesture recognition, and RF front-end error compensation. His work often integrates acoustic myography and time-frequency analysis for real-time tracking and diagnostics. Education & Advisory: Supervised student Aymen CHAKHARI (2014) and collaborated with researchers like Jean-Hugh Thomas and Pascal Charge .

Tasnuva Ming Khanمشاهده پروفایل

پژوهشگر

• Paleoecology
• Marine Biology
• Biodiversity Assessment
• +۴ مورد دیگر

Dr. Tasnuva Ming Khan is a Postdoctoral Researcher at the Institute of Paleontology , GeoZentrum Nordbayern , Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) , where she focuses on paleoecology and marine biodiversity using interdisciplinary methods. She completed her PhD in Zoology at the University of Cambridge and British Antarctic Survey (expected 2025) and holds an MSc in Geosciences (2021) from FAU. Education: PhD Zoology (expected 2025) – University of Cambridge & British Antarctic Survey MSc Geosciences (2021) – Friedrich-Alexander-Universität Erlangen-Nürnberg BSc Earth Systems Science (2018) – Cornell University Research Interests include scale-dependent drivers of marine community structure, asymmetric range shifts in planktonic foraminifera under the AGELESS project , and the influence of colonial history/global economics on fossil record biases. Her work integrates Bayesian network inference , metacommunity theory , and spatial point process analyses to study modern and fossil marine ecosystems. Key Publications cover topics like deep-sea benthic community dynamics in Antarctica, thermographic studies of humpback whales, and geothermal energy projects at Cornell. Her recent studies (2024–2025) focus on automated detection of Antarctic benthic organisms and environmental heterogeneity impacts on polar ecosystems. Collaborations span institutions including University of Oxford , University of Colorado Boulder , and University of Washington , with affiliations in projects like Deep-time Ecology Group and AGELESS (Leveraging long-term planktonic diversity data for biodiversity protection in areas beyond national jurisdiction).