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Benjamin HagedornView profile

Professor

• Carbon Cycle
• Water Cycle
• Geochemistry
• +5 more

Benjamin Hagedorn is a Professor in the Department of Geological Sciences at California State University, Long Beach . His research integrates geochemistry, hydrology, and environmental science to study carbon and water cycles. His work examines fluvial inorganic carbon transfer, chemical weathering of silicate lithologies, and groundwater-surface water interactions. Education: Ph.D. in Geosciences (Monash University, 2010), M.S. in Geology (RWTH Aachen, 2006), Post-doctoral Researcher (University of Hawaii at Manoa, 2010-2011) Research Interests focus on watershed-scale geochemical processes, including: Impact of urban and agricultural development on carbon transport Mineralogical effects of chemical weathering for CO 2 sequestration Groundwater recharge mechanisms and aquifer dynamics Temporal and spatial variability of water quality under climate stressors Publication Trends emphasize interdisciplinary approaches to water sustainability, with recent studies on contaminated water risk assessment, submarine groundwater discharge, and drought-induced pollutant mobilization. His methods combine field surveys, geochemical analysis, numerical modeling, and GIS technologies. Research Group leads projects such as: Groundwater age dating and signal processing VOC pollutant source tracking in urban environments Freshwater availability on arid islands (Catalina, California) Ecological impacts of SGD on coral reefs (Mo'orea, French Polynesia) Aquifer vulnerability in agricultural regions (Central California) Drought effects on geogenic pollutant mobilization

• Tourism Economics
• Determinants of tourism demand
• Forecasting
• +7 more

Juan Luis Eugenio-Martín is a Senior Lecturer in Economics at the Department of Applied Economic Analysis, Faculty of Economics, Business and Tourism, Universidad de Las Palmas de Gran Canaria (ULPGC), Spain. He serves as Head of the EITT Research Group (Economics of Infrastructure, Transport and Tourism) and holds editorial board positions with Tourism Economics, Journal of Sustainable Tourism, and Annals of Tourism Research. He is also an Executive Council Member of the International Association for Tourism Economics. MSc in Economics (York) PhD in Economics (Las Palmas) Eugenio-Martín specializes in Tourism Economics with a focus on determinants of tourism demand, forecasting methodologies, economic impact assessment, optimal tourism development, and sustainable tourism. His methodological expertise includes microeconometrics, panel data analysis, structural time series modeling, and computable general equilibrium approaches. His research bridges theoretical economic concepts with practical applications in tourism policy and destination management, contributing significantly to evidence-based decision making in the tourism sector, particularly during crisis periods. His recent publications demonstrate a consistent focus on innovative methodologies for tourism demand analysis, especially during health crises like the COVID-19 pandemic. His work increasingly incorporates advanced econometric techniques including structural time series models and panel data analysis. A notable trend is his exploration of latent tourism demand and development of novel methodologies for nowcasting tourism arrivals. His research addresses contemporary issues such as the impact of low-cost carriers, sharing economy platforms like Airbnb, and sustainable tourism development across multiple geographic contexts. Eugenio-Martín has supervised multiple PhD students whose work has received recognition: Federico Inchausti Sintes: Best PhD thesis in social sciences and law prize at ULPGC (2014) Ubay Pérez Granja: Best PhD thesis in social sciences and law prize at ULPGC (2021) He has successfully supervised four PhD students to completion, with research focusing on tourism economics, spatial distribution of tourist attractions, economic consequences of tourism specialization, and new approaches for tourism policy analysis. His extensive grant portfolio includes multiple projects funded by the Inter-American Development Bank, World Bank, European Investment Bank Institute, European Commission, and Spanish government agencies. His research has addressed critical issues including tourism demand forecasting during the pandemic, economic impact evaluation of tourism investments, and the effects of digital platforms on tourism markets across Latin America, the Caribbean, and Europe. Eugenio-Martín leads the EITT Research Group (Economics of Infrastructure, Transport and Tourism) at ULPGC and maintains active collaboration with international research networks. His work through the International Association for Tourism Economics connects him with leading scholars globally, facilitating knowledge exchange on tourism economics and policy.

Daniele De MartiniView profile

Lecturer

• Mobile Robotics
• Autonomous Systems
• Robot Navigation
• +5 more

Daniele De Martini is a Departmental Lecturer in Mobile Robotics at the Oxford Robotics Institute (ORI) and a College Lecturer in Engineering Science at Pembroke College, University of Oxford. He co-leads the Mobile Robotics Group (MRG) with Professor Paul Newman. His academic journey began in Pavia, Italy, where he earned his BSc in Mechanical Engineering, followed by an MSc in Mechatronic Engineering from Politecnico di Torino, and completed his PhD in Robotics at Università degli Studi di Pavia under the supervision of Prof. Tullio Facchinetti. De Martini's research focuses on robust navigation and scene understanding for mobile robots, with particular emphasis on enabling robot operation in challenging weather conditions and diverse scenarios. His work spans from odometry and localization to detection and segmentation, utilizing various sensing technologies including vision, laser, and radar systems. A significant portion of his research explores FMCW scanning radar technology as a more robust alternative to traditional visual perception systems, especially in adverse weather conditions. He also investigates techniques to enhance the training of perception modules using machine learning approaches, believing that learning and adaptation are paramount for achieving true robot autonomy. His publication record demonstrates a clear progression from early work on energy management and scheduling algorithms to his current focus on mobile robotics and perception. The analysis of his recent publications reveals strong emphasis on radar-based perception, robust localization methods, scene generation for autonomous driving simulation, and long-term autonomy systems. His work bridges the gap between theoretical robotics and practical field deployment, as evidenced by projects like The Hulk vehicle platform designed for weather-proof outdoor operations. As an educator, De Martini teaches Structures and Mechanics at Pembroke College and contributes to the academic mission of the Department of Engineering Science. His research group actively develops solutions for real-world robotic challenges, with applications ranging from urban mobility safety assessment to long-term autonomous inspection systems.

Yanghui KangView profile

Assistant Professor

• Remote Sensing of Terrestrial Ecosystems
• Agroecosystem Monitoring and Modeling
• Nature-Based Climate Solutions
• +4 more

Yanghui Kang is an Assistant Professor in the Department of Biological Systems Engineering at Virginia Tech. He holds a Ph.D. in Geography from the University of Wisconsin-Madison and has prior postdoctoral experience at UC Berkeley and USDA-ARS. His work integrates satellite remote sensing, machine learning, and process-based modeling to monitor terrestrial ecosystems and address climate mitigation through nature-based solutions. B.S. (2011): Geographic Information Science, Beijing Normal University M.S. (2013): Environment & Resources, University of Wisconsin-Madison M.S. (2018): Computer Sciences, University of Wisconsin-Madison Ph.D. (2020): Geography, University of Wisconsin-Madison Research focuses on remote sensing of vegetation dynamics , agroecosystem modeling , and nature-based climate solutions . He develops frameworks for quantifying carbon/water fluxes, leaf area index (LAI), and gross primary productivity (GPP) using satellite data. His work enables sustainable land/water management and climate policy support. Recent publications span multi-sensor LAI validation , CO2 fertilization impacts on GPP , and deep learning for ecosystem monitoring . Key projects include OpenET satellite evapotranspiration and CEDAR-GPP datasets , with funding from NASA and prior fellowships from SCINet and NASA Earth Science . Scientific Awards : NASA Early Career Investigator (2024), SCINet Fellowship (2020-2021), IOP Top Cited Paper (2020) He advises graduate students working on ecosystem-atmosphere fluxes , agricultural water use , and climate-adaptive remote sensing . The Kang Lab maintains open-source tools like the Landsat-LAI GitHub repository for global vegetation monitoring.

• Econometrics
• Time Series Analysis
• Probability Theory
• +5 more

Pavel Konstantinovich Katyshev is a Professor at the National Research University Higher School of Economics (HSE), specifically within the Faculty of Economic Sciences and Department of Applied Economics. With 52 years of scientific and teaching experience, he has been working at HSE since 2009 (and previously from 1997-1999). His academic career spans multiple prestigious institutions including the Central Economic-Mathematical Institute of the Russian Academy of Sciences (1975-present), Lomonosov Moscow State University, and the Russian Economic School. Professor Katyshev's educational background includes: 1976: Candidate of Physical and Mathematical Sciences (specialty 01.01.05 "Probability Theory and Mathematical Statistics") 1975: Postgraduate studies at Moscow State University M.V. Lomonosov 1971: Specialty "Mathematics" with qualification "Mathematician" from Lomonosov Moscow State University His primary research interests focus on the intersection of mathematics and economics, particularly in econometrics, probability theory, and mathematical economics. Professor Katyshev specializes in time series analysis, random error term models, cointegration, controlled random processes, and stochastic models of economic dynamics and equilibrium. His work bridges theoretical mathematical frameworks with practical economic applications, making significant contributions to both fields. His recent publications demonstrate a consistent focus on econometric methods and their applications to the Russian economy, particularly in analyzing relationships between energy markets (oil, electricity) and economic growth. He has developed numerous educational resources including textbooks and problem collections in probability theory, mathematical statistics, and econometrics, which have become standard references in Russian economic education. Professor Katyshev has received numerous accolades for his contributions: Medal "Recognition - 15 years of successful work" of the National Research University Higher School of Economics (October 2024) Letter of thanks from the Rector of HSE (October 2023) Gratitude from the Vice-Rector of HSE (October 2021) Honorary Diploma of the Higher School of Economics (December 2018) Gratitude from the Higher School of Economics (December 2012) Best Teacher award for 2023-2025 and 2011-2014 As an educator, Professor Katyshev has supervised students including Bogomolov Andrey Vasilievich (2015), whose thesis focused on parameter estimation in models with random error duration. He teaches courses in Probability Theory and Mathematical Statistics across various programs at HSE, including bachelor's and master's degrees in Economics. His teaching approach has been praised by students as "so cool and useful" that "you just listen to these lectures." Professor Katyshev previously served as head of the International Laboratory of Quantitative Finance at HSE (2014-2015) and has been involved with the Moscow Institute of Economics and Finance (MIÉF) as a statistics lecturer from 1997-2014. His extensive publication record includes more than 30 printed works, translations of three books from English, and co-authorship of the widely used textbook "Econometrics. Basic course."

• Quantum Computation
• Quantum Programming
• Formal Methods
• +6 more

Professor Mingsheng Ying (University of Technology Sydney) is a Distinguished Professor specializing in quantum programming , quantum verification , and the foundations of artificial intelligence . He leads the Centre for Quantum Software and Information and co-founded the Quantum Lab . His work bridges quantum computation with formal methods and reasoning under uncertainty. Education : Mathematics, Fuzhou Teachers College (1981) Research Interests His research spans: Quantum programming languages and verification techniques Model checking quantum systems and cryptographic protocols Quantum machine learning robustness Entanglement theory and distributed quantum computation Recent Publications Key contributions include: Quantum error correction verification frameworks Quantum register machine architecture Hamiltonian simulation parallelization Symbolic execution for quantum debugging Robustness tools like VeriQR Awards & Editorial Roles NSF China Distinguished Young Scholar Award (1997) China National Science Award (2008) Co-Editor-in-Chief, ACM Transactions on Quantum Computing Vice President, International Fuzzy Systems Association (2005) Leadership & Grants He oversees 14 active grants (2010–2029) from: Australian Research Council (ARC Discovery Projects) National Natural Science Foundation of China Sydney Quantum Academy Baidu Contract Research His grants fund research in quantum program verification, entanglement classification, and distributed quantum protocols.

Weiguo XieView profile

Professor

• Mathematical modeling
• Computational simulation
• Optimization and control
• +8 more

Weiguo Xie is a Professor at the Swenson College of Science and Engineering , University of Minnesota Duluth. With a PhD in Chemical Engineering from UMIST (UK), he has held academic/research positions at City University London, University of Manchester, University of Queensland, and University of Exeter. Education : Ph.D. (UMIST), M.S. & B.S. (Tsinghua University) Expertise : Mathematical modeling, simulation, optimization, and control in chemical/mineral processing His research focuses on mathematical modeling and computational simulation for chemical engineering systems, including optimization of large-scale processes , real-time measurement techniques , and separation processes . Recent work spans nanocrystalline metal production , flotation cell turbulence analysis , and nonlinear MPC systems . Scientific awards include the 2017 UCLA Smart Manufacturing Fellowship and 2008 Green Gown Award. He teaches courses on thermodynamics, particle technology, and minerals processing.

Oliver SchöffskiView profile

Professor

• Health Economics
• Healthcare Quality Improvement
• Cost-Effectiveness Analysis
• +6 more

Prof. Dr. Oliver Schöffski, MPH holds the Chair of Business Administration, especially Health Management at Friedrich-Alexander University Erlangen-Nuremberg (FAU). With a career spanning since 2000, he specializes in health economics, focusing on cost-effectiveness analysis, hospital process optimization, outpatient care reimbursement, and integrated health systems. His work bridges public health policy with practical healthcare management challenges. Master of Public Health (MPH), Hannover Medical School (1991) Doctorate and Habilitation, University of Hanover (1994, 1999) Chair of Health Management, FAU (since 2000) His research spans healthcare quality improvement, digital health economics, and resource allocation in medical settings. Recent publications examine patient-reported experience measures in neurosurgery, cost implications of electronic health records, and efficiency of surgical interventions. He has pioneered major healthcare programs including the Master in Health Management and Health Economics (MiGG) and part-time programs for healthcare professionals. Recent articles highlight his expertise in cost-effectiveness modeling (intracranial aneurysms, endometriosis centers), digital health applications, and operational efficiency (LVA surgery optimization, ICU resource management). His work frequently appears in journals like Neurosurgical Review , Health Policy , and European Journal of Health Economics . As part of FAU's School of Business, Economics, and Social Sciences, Prof. Schöffski contributes to interdisciplinary collaborations with medical faculties and healthcare institutions. His leadership in programs like Master of Health Business Administration (Germany's largest) demonstrates commitment to healthcare professional development.

Tony DolphinView profile

Lecturer

• Coastal Geomorphology
• Estuarine Processes
• Sediment Transport
• +6 more

Tony Dolphin is an Honorary Lecturer in the School of Environmental Sciences at the University of East Anglia (UEA) and a member of the Collaborative Centre for Sustainable Use of the Seas. His work centers on coastal and estuarine processes, with a focus on sediment transport, morphodynamics, and coastal protection. His research interests include: Coastal, beach, and estuarine geomorphology Sediment transport in the coastal zone Wave and tidal dynamics Coastal erosion and protection structures Environmental monitoring using remote sensing and field instrumentation Climate change impacts on coastal systems His recent publications show a strong trend toward integrating traditional field-based coastal science with modern remote sensing and drone-based monitoring techniques, particularly in seagrass habitat mapping and post-storm impact assessment. Earlier work emphasizes physical processes such as wave-orbital dynamics, sediment suspension, and the hydrodynamics of tidal channels and intertidal flats. Notable research projects include: LEACOAST and LEACOAST2: Investigating the effects of shore-parallel breakwaters on coastal morphodynamics Blinks: Studying sandbank dynamics and beach responses Children's Corner Beach Dynamics and Shoreline Monitoring Coastal monitoring using photogrammetry and GPS/X-Band radar He has collaborated with institutions such as the Centre for Environment, Fisheries & Aquaculture Science (Cefas), Waveney District Council, and various academic partners across Europe and New Zealand. Tony Dolphin has co-authored numerous peer-reviewed articles in journals such as Journal of Coastal Research , Marine Geology , and Remote Sensing . His work is cited in both academic and policy contexts, particularly regarding storm surge impacts and sustainable coastal management.

• Geomechanics
• Geotechnics
• Soil Modeling
• +5 more

Gustav Grimstad is a Professor at the Department of Civil and Environmental Engineering at NTNU. His research focuses on advanced soil modeling, particularly in geomechanics and geotechnics, with emphasis on creep behavior of soft clays, permafrost dynamics, and landslide mechanics. He has developed influential models like the NGI-ADP model integrated into commercial software (e.g., Plaxis). His work bridges computational methods (e.g., MPM, FEA) with practical geotechnical challenges. Key research areas include hyperplastic constitutive modeling, progressive fracture in sensitive clays, and environmental applications such as carbon-negative soil reinforcement. He collaborates extensively on projects like NUNATARYUK addressing permafrost thawing impacts. His publications span over 20 years, with notable contributions to submarine landslide simulations, offshore wind foundation modeling, and frost heave phenomena. Dr. Grimstad’s expertise extends to numerical methods validation through centrifuge tests and field data, ensuring practical applicability of theoretical models. He advises on infrastructure resilience in challenging geotechnical contexts, including quick clay landslide mitigation and sustainable peat engineering.

Boris ResnikView profile

Professor

• Geodetic Monitoring
• Structural Health Assessment
• Deformation Analysis
• +3 more

Prof. Dr.-Ing. Boris Resnik is a full professor at Berlin University of Technology (BHT Berlin) in the Department of Civil Engineering and Geoinformation. Born in 1960 in Leningrad, he holds a diploma in Geodesy from the Leningrad Mining Institute (1982) and a doctorate from VNIMI (1990). His academic career spans over two decades at BHT Berlin, with prior positions at Rostock University and Brandenburg Technical University Cottbus. His research focuses on: Geodetic monitoring and deformation analysis Structural health assessment of wind turbine foundations AI and neural network applications in structural monitoring Sensor technologies (MEMS, accelerometers, inclinometers) Automated early warning systems for infrastructure He leads significant projects including the IFAF-funded WEsaFE (2014-2016) on wind turbine foundation monitoring and the DAAD Eastern Partnerships initiative (2018-2023) with Central Asian universities. Publication analysis shows a strong evolution toward AI-driven methodologies since 2019, with recent works focusing on neural networks for real-time structural monitoring, vehicle classification, and vibration analysis. His 2023-2025 publications demonstrate increasing integration of drone-based thermography and advanced sensor networks. No scientific awards are documented in the provided materials. Contact is maintained through resnik@bht-berlin.de, with office at Building D (Civil Engineering) Room D 422.

Stanley SnelsonView profile

Associate Professor

• Partial Differential Equations
• Kinetic Theory
• Dynamics of Many-Particle Systems
• +4 more

Stanley Snelson is an Associate Professor at the Department of Mathematics and Systems Engineering, College of Engineering and Science, Florida Institute of Technology. His research focuses on partial differential equations (PDEs) with applications to kinetic theory, shape optimization, and nonlinear waves. Kinetic Theory: Boltzmann and Landau equations, statistical physics, particle dynamics Shape Optimization: Minimal domains for eigenvalues, free boundary problems Nonlinear Waves: Stability of solitary waves, wave equations with nonlinear terms His recent work includes regularity theory for the Landau equation and stability analysis of variable-coefficient scalar-field equations. Supported by NSF Grant DMS-2213407, he collaborates with researchers like C. Henderson, A. Tarfulea, and E. Teixeira. Publications span top journals including Transactions of the AMS and SIAM Journal on Mathematical Analysis . Key applications of his research include modeling wave propagation, structural design optimization, and plasma dynamics. Current and former collaborations with the Simons Foundation and Oak Ridge Associated Universities highlight his contributions to mathematical physics.

Olaf PoschView profile

Professor

• Macroeconomics
• Dynamic Stochastic General Equilibrium (DSGE) Models
• Asset Pricing
• +12 more

Olaf Posch is a Professor of Economics, specializing in Methods of Economics, at the Department of Economics within the Faculty of Economics and Social Sciences at the University of Hamburg. His research integrates macroeconomic theory, econometrics, and computational methods to analyze dynamic equilibrium models, asset pricing, and policy design. Research Interests: His primary research areas include Macroeconomics, Dynamic Stochastic General Equilibrium (DSGE) models, Asset Pricing, Monetary and Fiscal Policy, Econometrics, Structural Estimation, and Continuous-Time Modeling. He investigates the implications of uncertainty, rare disasters, heterogeneous agents, and public policy on macroeconomic dynamics and financial markets. Recent Research Trends: His recent publications demonstrate a consistent focus on advancing the estimation and solution methods of macroeconomic models. He explores the role of uncertainty (e.g., Peso problems, Poisson shocks), the impact of fiscal policy and debt maturity (e.g., FTPL), and the importance of risk in model approximations. His work often bridges theoretical innovation with empirical application, using mixed-frequency data and structural estimation techniques. Scientific Grants: DFG Project No. 268475812: 'Dynamic equilibrium models' – Developing a continuous-time New Keynesian model. DFG Project No. 446166239: 'Fiscal Sustainability'. DFG Project No. 510995673: 'Fiscal policy in models with heterogeneous agents'. Advising and Grants: While specific advisees are not listed, he frequently collaborates with co-authors on research projects and working papers, indicating an active role in mentoring junior researchers. He is the principal investigator on multiple DFG-funded projects, demonstrating significant grant acquisition and research leadership. Laboratories and Research Teams: He leads a research team at the University of Hamburg, including Corinna Kienle, Réka Rátfai, and Josie Oetjen, focused on dynamic equilibrium models and macroeconomic policy analysis.

• Applied mechanics
• Bayesian optimization
• Control co-design
• +7 more

Edoardo Pasta is a Fixed-term Assistant Professor at Politecnico di Torino , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . He serves as an External Collaborator and contributes to research in applied mechanics, wave energy systems, and data-driven control strategies. Research Focus: Wave energy converters, nonlinear dynamics, robust control, offshore renewable energy, and system identification. Academic Roles: Teaches courses on optimization methods and control systems, serves as a teaching assistant for mechanical engineering programs. Collaborations: Works with institutions including Turin Polytechnic University in Tashkent, Oregon State University, and National University of Ireland, Maynooth. His work integrates control theory with marine energy applications, emphasizing data-driven modeling and optimization. He has contributed to patents and software developments for metocean data analysis and energy systems. Scientific Awards: Best Paper Award - IFAC CAMS 2022 Premio Qualità (2024) from Politecnico di Torino Edoardo Pasta actively participates in editorial boards and conferences, including serving as Guest Editor for APPLIED OCEAN RESEARCH and organizing special sessions at IEEE and IFAC conferences.

Agnes KarlssonView profile

Senior Lecturer

• Marine Ecotoxicology
• Food Web Ecology
• Stable Isotope Analysis
• +8 more

Agnes Karlsson is a Senior Lecturer at the Department of Ecology, Environment and Plant Sciences, Stockholm University. She holds a PhD in Marine Ecology (2010) and has conducted postdoctoral work at the University of Otago (2011-2013) and Stockholm University (2013). Her research focuses on marine ecotoxicology, food web ecology, and stable isotope analysis in the Baltic Sea, with a particular interest in how environmental changes affect ecosystem functioning and contaminant dynamics. Current roles include leading the national environmental monitoring program for vegetated seabeds since 2022. Supervises doctoral students Matias Ledesma and John Taylor. Collaborates with Baltic Sea Fellows, the Swedish Museum of Natural History, and international institutions. Teaches courses on Baltic Sea environment, ecotoxicology, and ecosystem management. Her work integrates experimental studies, field observations, and long-term monitoring data to explore trophic interactions, climate change impacts, and pollution effects. She employs stable isotopes (δ¹⁵N, δ¹³C) to trace nutrient flows and assess food web responses to stressors like cyanobacterial blooms and contaminants. Recent projects address PAHs, PFAS remediation, and trophic position estimation accuracy. Agnes Karlsson's publications span topics including invasive species dynamics, benthic-pelagic coupling, and isotopic niche variability. Her research emphasizes biodiversity-function relationships and mechanisms underpinning ecosystem resilience in species-poor systems. She contributes to environmental policy through data supporting Baltic Sea management and contamination mitigation strategies.