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Knud Villy ChristensenView profile

Associate Professor

• Chemical Engineering
• Membrane Technology
• Biofuels
• +3 more

Knud Villy Christensen is an Associate Professor at the Department of Green Technology (IGT), University of Southern Denmark (SDU), and serves as Head of Section for SDU-Chemical Engineering. His research focuses on Chemical Engineering with emphasis on Membrane Technology , Biofuels , and Biowaste Valorization . He is actively involved in projects targeting sustainable energy and resource recovery from agricultural and industrial waste streams. His work spans Membrane Separation Technology (e.g., membrane distillation for food processing), Chemical Reactor Engineering , and Mathematical Modeling of unit operations. Recent publications highlight his expertise in green extraction of natural compounds biocascade approaches for biomass valorization biofuel production optimization Christensen has supervised numerous internships and projects at institutions like Fjernvarme Fyn, Carlsberg A/S, and Biogas Clean. His current projects include SUSTEPS (sustainable biofuel scaling) and ReCaP (phosphorus recycling). His research aligns with environmental sustainability and industrial process intensification.

Philip CorrView profile

Professor

• Personality neuroscience
• Behavioral economics
• Individual differences
• +5 more

Professor Philip Corr is a distinguished Professor of Psychology at City, University of London, where he has been employed since 2013. He previously held Professorial positions at the University of East Anglia (2009-2013, where he served as Head of Psychology) and Swansea University (2004-2009, where he was Head of Department). Earlier in his career, he was Senior Lecturer at Goldsmiths, University of London (2001-2004) and Lecturer at both Goldsmiths and the University of Greenwich. His research focuses on personality neuroscience and behavioral economics, particularly individual differences in approach and avoidance behavior systems. He has made significant contributions to the Reinforcement Sensitivity Theory (RST) of personality, exploring how these fundamental behavioral systems drive different forms of behavior, including economic decision-making. His work spans multiple methodologies including neuroimaging, behavioral, psychopharmacological, and psychophysiological approaches. Professor Corr's recent publications (2021-2025) demonstrate his continued leadership in personality neuroscience, with studies examining the genetic foundations of approach-avoidance behavior, cross-cultural validation of personality measures, and applications of Reinforcement Sensitivity Theory to understanding anxiety, social behavior, and responses to global challenges like the COVID-19 pandemic. His work consistently bridges theoretical personality psychology with practical applications across multiple domains. Fellow of the Royal Society of Arts (FRSA) Chartered Psychologist of the British Psychological Society Chartered Scientist of the Science Council President of the International Society for the Study of Individual Differences (2015-2017) Co-Founding President of the British Society for the Psychology of Individual Differences As an educator, Professor Corr teaches courses in Personality and Differential Psychology and supervises doctoral research. He has advised students on topics including ADHD, neurofeedback, and the relationship between personality traits and behavior. He founded and edits the journal Personality Neuroscience, published by Cambridge University Press, and serves on the editorial boards of several other scientific journals in the field of personality and individual differences.

Ida ScheelView profile

Associate Professor

• Bayesian Statistics
• Data Science
• Machine Learning
• +7 more

Ida Scheel is an Associate Professor in Statistics and Data Science at the University of Oslo , Department of Mathematics. She specializes in Bayesian hierarchical modeling, recommendation systems, and stochastic processes on networks. Her research interests include: Bayesian statistics and model diagnostics Data science applications in environmental and health domains Network-based machine learning Uncertainty quantification in predictive modeling Recent publication trends show a focus on Bayesian model validation, machine learning for product adoption prediction, and real-estate analytics. She contributes to interdisciplinary projects like BigInsight and CELS . Scientific awards : Sverdrup Prize for Young Researchers (2011) Advising : Supervised 8 PhD students (main/co-supervisor) in areas spanning Bayesian causal effects, neural network survival analysis, and model conflict detection. Key grants include participation in the Data Science@UiO and Integreat projects. Labs/teams : Active member of the Center for Computational Inference in Evolutionary Life Science (CELS) and the BigInsight center.

Zhi LiView profile

Assistant Professor

• Hydrological Modeling
• Flood Prediction
• Drought Monitoring
• +9 more

Zhi Li is an Assistant Professor at the University of Colorado Boulder's College of Engineering and Applied Science, Department of Civil, Environmental and Architectural Engineering. He leads the newly established Flood Lab, focusing on flood prediction and monitoring through remote sensing and coupled hydrologic-hydraulic models. Joined CU Boulder in Fall 2025 Former Dean's Postdoc Fellow at Stanford University PhD in Civil Engineering & Environmental Science from University of Oklahoma (2022) His research spans hydrological modeling , extreme events , and AI4Science applications, particularly in deep learning and intelligent agents for flood risk assessment. Li’s work also connects floods with public health and economic systems , aiming to develop the Flood-Agriculture-Climate-Economics-Disease (FACED) framework. Key Themes: High-resolution flood modeling Climate change impacts on hydro-meteorology Remote sensing integration Flood-agriculture interdependencies Global health implications Scientific Awards: Dean's Postdoc Fellow, Stanford Doerr School of Sustainability (2023) Hoving Fellowship, University of Oklahoma (2019) Li’s recent publications emphasize improved precipitation estimation (IMERG V07), Brown Ocean Effect studies, and Fourier neural operators for rapid flood forecasting. His collaborative work with NOAA and NASA focuses on comparing ground-based and spaceborne radar systems for extreme event analysis.

Noah P. MolotchView profile

Professor

• Mountain Hydrology
• Snow Hydrology
• Ecohydrology
• +4 more

Noah P. Molotch is a Professor in the Department of Geography at the University of Colorado Boulder, leading the Mountain Hydrology Group and affiliated with the Cryosphere and Surface Processes Lab and Niwot Ridge Long-Term Ecological Research program. His work integrates ground observations, remote sensing, and computational modeling to advance understanding of mountain hydrology, water resources, and ecohydrology in changing climates. His educational background includes: PhD in Hydrology and Water Resources from the University of Arizona (2004) MS in Environmental Science and Management from the University of California, Santa Barbara (2000) BA from the University of Colorado Boulder (1997) Molotch's research focuses on snow hydrology , ecohydrology , and remote sensing with emphasis on snowmelt distribution, soil moisture dynamics, and streamflow generation. He investigates how climate change alters snowpack characteristics and hydrological partitioning, affecting forest productivity and carbon cycling in montane ecosystems. His work spans from the Colorado Front Range to Chilean Andes, addressing critical water security challenges through field studies and satellite data integration. Recent publications (2024-2025) reveal three dominant research thrusts: (1) Advanced snow water equivalent estimation using machine learning and airborne remote sensing, (2) Climate impacts on snowmelt timing and hydrological partitioning across mountain systems, and (3) Ecohydrological feedbacks between snow dynamics and vegetation productivity. These studies increasingly incorporate drone-based multispectral imaging and cross-scale data fusion to resolve spatial heterogeneity in alpine environments. Molotch mentors PhD students Millie Spencer and Emma Tyrrell, with Spencer documenting glacier retreat in Chile through CUAHSI-funded research. His group has secured significant grants from the U.S. Bureau of Reclamation for developing operational snowpack datasets, while collaborating with NASA, NOAA, and water management agencies on real-time monitoring systems. Community engagement includes art-science collaborations like the Colorado Arts Science Environment Program to communicate climate impacts. The Mountain Hydrology Group operates cutting-edge facilities including the Cryosphere and Surface Processes Lab and contributes to the Niwot Ridge Long-Term Ecological Research site. They deploy airborne lidar, drone-based thermal imaging, and wireless sensor networks to map snow properties at unprecedented resolutions, directly informing water resource management during drought and flood events across the Western U.S.

Durelle ScottView profile

Professor

• Water sustainability
• Stream and wetland restoration
• Biogeochemical processes
• +4 more

Durelle Scott is a Professor in the Department of Biological Systems Engineering at Virginia Tech's College of Engineering. His work focuses on water sustainability, biogeochemical processes, and stream/wetland restoration, particularly addressing nutrient cycling and climate change impacts. Education : Ph.D., M.S., and B.S. in Civil Engineering from the University of Colorado at Boulder. Research : Examines material fate/transport in streams/wetlands, deglaciation effects on hydroecology, and floodplain restoration for nutrient mitigation. Recent publications highlight his expertise in watershed modeling, biogeochemical hotspots, and urban stormwater management. Awards include the National Research Council and Landcare Research Fellowships. Scott leads the Scott Lab, collaborates with Virginia Tech's Center for Watershed Studies, and secures major funding for projects like NSF's hydrologic connectivity research. Current Projects : Deglaciation effects in Alaska, StREAM restoration initiative, and Mississippi River Basin freshwater diversions. He teaches courses such as Numerical Analysis and Green Engineering , emphasizing practical solutions for water quality challenges.

Francesca PianosiView profile

Associate Professor

• Water Resource Management
• Hydrology
• Environmental Modelling
• +5 more

Dr Francesca Pianosi is an Associate Professor in Water & Environmental Engineering at the University of Bristol 's School of Civil, Aerospace and Design Engineering. She contributes to the Cabot Institute for the Environment and leads research on data analysis, mathematical modelling, and uncertainty quantification for hydrology and water engineering. Specialises in simulation and optimisation methods for water resource management Focuses on uncertainty propagation in natural hazard models Developed the open-source SAFE Toolbox for sensitivity analysis Research Trends Her recent publications (2023-2025) demonstrate expertise in: Groundwater flow and recharge in data-scarce regions Digital Twin applications for watershed management Climate change impact on landslides and droughts Multi-objective optimisation for reservoir operations Integration of machine learning with hydrological models Scientific Awards Arne Richter Award for Outstanding Young Scientists (2015) Best Research Oriented Paper - Journal of Water Resources Planning and Management (2024) Early Career Research Excellence (ECRE) award (2014) Francesca leads the Water Management and Adaptation based on Watershed Digital Twins project (2024-2027) and contributes to the USARIS project on uncertainty quantification for infrastructure systems (2023-2025).

Ross A WoodsView profile

Professor

• Hydrology
• Water Resources
• Hydroclimatology
• +5 more

Ross A Woods is a Reader in Water & Environmental Engineering at the School of Civil, Aerospace and Design Engineering, University of Bristol , and an active member of the Cabot Institute for the Environment . His research focuses on large-sample hydrology, flood and drought risk, climate-water interactions, and catchment classification. Keywords : Hydrology, Water Resources, Hazards, Hydroclimatology Research Themes : Flood Estimation in Ungauged Catchments, Climate Change Impacts on Hydrology, Snow-Rain Transition Effects, Hydrological Modeling with Simple Models Scientific Trends His recent work emphasizes groundwater-surface water interactions (e.g., DECIPHeR-GW, 2025), snow hydrology under climate change (e.g., Northern Hemisphere SWE datasets, 2025), and catchment-scale water balance analysis (e.g., 2024 studies on soil drainage and streamflow seasonality). Key disciplines include hydrology, climate science, and environmental engineering. Scientific Awards 2022 STAHY Best Paper Award (awarded 2023) Adjunct Faculty Member (2006) Award for Outstanding Achievement (2010) He has contributed to hydrology through 671 catchment studies (CAMELS-GB dataset) and model development (e.g., TOSSH toolbox, 2021). His work bridges theoretical hydrology with applied water management in regions like New Zealand, Brazil, and the contiguous USA.

Dawei HanView profile

Professor

• Hydroinformatics
• Flood Risk Management
• Rainfall Simulation
• +4 more

Dawei Han serves as Professor of Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering, leveraging advanced computational techniques to address hydrological challenges. Holding a B.Eng. and M.Sc. from Huabei alongside a Ph.D. from Salford, he is recognized as a Chartered Engineer (C.Eng.) and Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM). His academic credentials include: Bachelor of Engineering (B.Eng.) from Huabei Master of Science (M.Sc.) from Huabei Doctor of Philosophy (Ph.D.) from University of Salford Professor Han's research focuses on integrating hydroinformatics with practical water management solutions, particularly in urban environments. His work pioneers applications of machine learning for rainfall nowcasting, radar-based hydrological monitoring, and climate change impact assessment. Key innovations include DREE-RF for rainfall energy estimation and frameworks for urban flood resilience, emphasizing data-driven approaches to enhance prediction accuracy and risk mitigation strategies. Analysis of his 2024-2025 publications reveals dominant themes in urban hydrology (40%), flood risk management (30%), and climate-remote sensing integration (30%). His research spans global contexts from UK catchments to Iraqi rainfall systems, consistently employing computational methods like neural networks and WRF modeling to address data-scarce environments and extreme weather events. Professional recognition includes: Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM) While specific student supervision details are unavailable, his extensive publication record indicates active mentorship in hydroinformatics. Research grants likely support his work on radar remote sensing and urban climate adaptation, though explicit funding sources aren't documented in the source material. His affiliation with Bristol's engineering school positions him within interdisciplinary teams addressing infrastructure resilience, though laboratory-specific information remains unreported.

Rose AlaniView profile

Associate Professor

• Environmental Pollution Monitoring
• Air Quality Modeling
• Climate Change Research
• +3 more

Dr. Rose Alani is an Associate Professor and senior researcher at the Department of Chemistry, Faculty of Science, University of Lagos . With over 20 years of experience in environmental and analytical chemistry, she leads Nigeria's Air Quality Monitoring Research Group (AQMRG) and served as the 2024 Nigerian Coordinator for the CLEAN-Air Forum. B.Sc. Industrial Chemistry, Ahmadu Bello University (1988) M.Sc. Industrial Chemistry, University of Port Harcourt (1992) Ph.D. Environmental/Analytical Chemistry, University of Lagos (2012) Her research focuses on environmental pollution monitoring across air, water, and soil, particularly examining contaminant distribution linked to carbon production dynamics. She specializes in air quality modeling, health risk assessments of gaseous and particulate pollutants, and environmental sustainability. Recent publications highlight her work in GIS-based pollution mapping, seasonal air pollution variability, PAHs exposure risks, and economic impact analysis. These studies emphasize solutions for urban environmental challenges in Lagos and broader West Africa. Distinguished Researcher Awards (University of Lagos Golden Jubilee Conferences, 2009-2012) Featured in EPIC's Public Local Actors Registry (2023) Recognized as Air Quality Champion by EPIC (2024) She co-chairs the US-Nigeria Air Quality Technical Working Group and collaborates with institutions across Africa, Europe, and North America.

David LobbView profile

Professor

• Soil Erosion and Conservation
• Tillage Systems and Landscape Processes
• Sediment Fingerprinting and Tracing
• +3 more

David Lobb is a Professor in the Department of Soil Science at the University of Manitoba, affiliated with the Faculty of Agricultural and Food Sciences. His research focuses on biophysical processes within landscapes, particularly soil movement by tillage and tillage erosion, with international recognition for advancements in experimental methods and modeling. PhD in Soil Science, University of Guelph MSc in Soil Science, University of Guelph BSc in Biophysical Systems, University of Toronto Research Interests: Soil Erosion and Conservation , Tillage Systems , Sediment Fingerprinting , Wetland Carbon Dynamics , and Precision Agriculture . His work addresses soil redistribution, agri-environmental indicators, and soil-landscape variability. Recent articles highlight his expertise in soil erosion mechanisms, carbon sequestration in wetlands, and innovative measurement techniques using radiometric methods and smartphone technology. Collaborations with international organizations like the UN FAO, IAEA, and OECD underscore his global impact.

Christoph RaibleView profile

Professor

• Processes of the Climate System
• Atmosphere-Ocean-Sea Ice Interaction
• Climate Modelling
• +5 more

Christoph Raible is a Professor at the Climate and Environmental Physics department within the Physics Institute at the University of Bern, Switzerland, a position he has held since 2011. He also maintains a strong affiliation with the Oeschger Centre for Climate Change Research (OCCR) at the University of Bern, where he has been a Senior Lecturer since 2011. His research focuses on atmospheric dynamics, climate modeling, and understanding past and future climate change patterns. Professor Raible's research interests encompass Processes of the Climate System, Atmosphere-Ocean-Sea Ice Interaction, Climate Modelling, Atmospheric Dynamics, Past and Future Climate Change, Predictability, Tropical and Extra Tropical Cyclones, and Climate Impacts. His work bridges theoretical climate science with practical applications, particularly in understanding extreme weather events and their implications for society. He has developed expertise in analyzing historical climate patterns to inform future projections, with particular attention to European climate systems and their global connections. Analysis of his recent publications reveals a strong focus on paleoclimatology, climate modeling, and the societal impacts of climate change. His research spans from reconstructing historical climate patterns using proxy data to projecting future climate scenarios under various forcing conditions. Key themes include Mediterranean droughts, Atlantic Meridional Overturning Circulation variability, glacial climate dynamics, and the health impacts of climate change. His methodological approach combines advanced climate modeling techniques with statistical analysis of observational data. Professor Raible has been actively involved in numerous significant research projects including the NCCR Climate program (serving as Work Package leader), the SNF Sinergia project on solar influence on terrestrial climate, and collaborative projects with SwissRe on climate change impacts. He has also contributed to major international climate initiatives including the CH2018 Climate Scenarios for Switzerland. His teaching responsibilities include graduate-level courses on atmospheric circulation and climate modeling at the University of Bern.

• Biogas Technology
• Anaerobic Digestion
• Bioenergy
• +3 more

Dr. Hans Oechsner is a leading academic in agricultural engineering and bioenergy, holding multiple leadership positions including Head of the State Institute for Agricultural Engineering and Bioenergy (Landesanstalt für Agrartechnik und Bioenergie), Managing Director of the Baden-Württemberg Working Group on Agricultural Engineering and Rural Construction (ALB), and Project Leader for the International Graduate College focused on maize-based agricultural systems adaptation to limited phosphate reserves. He teaches advanced courses on biogas technology and bioenergy infrastructure at the Department of Agricultural Engineering in the Tropics and Subtropics. His research centers on optimizing bioenergy systems and sustainable resource management, with key interests in: Advanced biogas production techniques (e.g., mechanical pretreatment, two-stage digestion) Phosphorus recovery from organic waste streams Valorization of agricultural residues and livestock manure Development of circular bioeconomy models for crop systems Dr. Oechsner's recent publications (2022-2025) demonstrate a strong focus on enhancing biogas plant efficiency, nutrient recycling from digestate, and sustainable biomass utilization. His work consistently integrates full-scale applications with fundamental research, particularly in pretreatment optimization and waste stream valorization. He leads research infrastructure at the State Institute for Agricultural Engineering and Bioenergy, coordinating teams working on large-scale biogas optimization and agricultural waste management. His projects frequently involve international collaborations and industry partnerships.

• Fluid Mechanics
• Numerical Modeling
• Porous Media
• +6 more

Prof. Wojciech Sobieski is a faculty member at the Department of Mechanics and Fundamentals of Machine Design within the Faculty of Technical Sciences at the University of Warmia and Mazury in Olsztyn . His research focuses on fluid mechanics, numerical modeling, and porous media analysis, with applications in environmental engineering, hydraulic systems, and 3D printing. Academic Rank: Professor Scientific Discipline: Mechanical Engineering Key Research Areas: Tortuosity Analysis, Multiphase Flow, DEM Simulations His recent publications highlight advancements in computational methods for granular porous media, fluid flow modeling, and thermodynamic applications. Notable trends include the use of the Waterfall Algorithm for geometric analysis and sensitivity studies of numerical models like the Eulerian multiphase approach. He has contributed to understanding Forchheimer's laws and cavitation phenomena in hydraulic systems. Prof. Sobieski oversees the PathFinder Project , a research initiative focused on numerical modeling of porous media. His laboratory maintains infrastructure for multiphase flow simulations and particle-scale modeling. He has supervised 2 doctoral students to completion but currently has no active advisees.

Geoff DullerView profile

Professor

• Luminescence Dating
• Quaternary Environmental Change
• Geomorphological Processes
• +3 more

Professor Geoff Duller has been a faculty member at Aberystwyth University's Department of Geography & Earth Sciences since 1995, holding a Personal Chair since 2005. He studied Geography at St Catherine's College Oxford (BA 1987), completed his PhD in 1992 at Aberystwyth on luminescence dating of Quaternary sediments in New Zealand, and established the Aberystwyth Luminescence Research Laboratory in 2000. His research focuses on luminescence dating method development and application, particularly for Quaternary environmental change studies. Key contributions include creating single-aliquot dating methods and leading the NERC-funded BRITICE-Chrono project for ice sheet deglaciation chronology. He serves as Associate Editor of Radiation Measurements and editor of Journal of Quaternary Science , with editorial board membership at Ancient TL . His article portfolio demonstrates expertise in: Luminescence signal analysis (2025: IRPL/IRSL in feldspars; 2024: opercula thermoluminescence) Quaternary chronology (2025: Thar desert floodouts; 2024: Tibetan glaciofluvial sediments) Methodological innovation (2025: EMCCD crosstalk reduction; 2024: pIRIR protocol optimization) Scientific recognition includes the Bigsby Medal (2012). Current supervision includes PhD students Robyn Pinder, Svenja Riedesel, and Nina Ataee. He co-directs the Aberystwyth Luminescence Research Laboratory and manages specialized equipment including Risø luminescence readers.