جست‌وجوی استاد و پژوهشگر

Ajay B. Limayeمشاهده پروفایل

استادیار

• Fluvial geomorphology
• Quantitative stratigraphy
• Planetary surfaces
• +۷ مورد دیگر

Ajay B. Limaye is an Assistant Professor in the Department of Environmental Sciences at the University of Virginia. His research spans terrestrial and planetary landscapes, focusing on fluvial geomorphology, quantitative stratigraphy, and planetary surface processes. He employs remote sensing, geospatial analysis, numerical modeling, and laboratory experiments to study river dynamics, sedimentary deposits, and climate records on Earth, Mars, and Titan. His work integrates NSF and NASA-funded projects, including the development of a Landscape Evolution Laboratory with a 7m×3m experimental basin for controlled landscape modeling. His research explores feedbacks between landslides and ecology in central Virginia, Martian deltaic deposits, and submarine channel systems. He teaches courses in geomorphology, planetary geology, and fundamental geosciences. NSF CAREER Award (2023) : "GLOW: Sequencing rivers with machine learning and bioinformatics" Keck Institute Fellowship (2010) : High-resolution stratigraphy of Mars polar deposits Recent publications analyze braided river dynamics (e.g., Brahmaputra-Jamuna River), meander bend geometry, landslide-vegetation interactions, and planetary hydrology. His experimental work on autogenic fluvial terraces and turbidity maximum zones in estuaries demonstrates interdisciplinary methodological rigor.

Marco A.R. Ferreiraمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Multi-Scale Modeling
• Spatial-Temporal Models
• +۴ مورد دیگر

Marco A.R. Ferreira is an Associate Professor in the Department of Statistics at Virginia Polytechnic Institute and State University (Virginia Tech), affiliated with the College of Science. He holds a Ph.D. in Statistics from Duke University (2002), with a dissertation on Bayesian multi-scale modeling under M. West. He also earned an M.Sc. (1994) and B.Sc. (1993) in Statistics from the Federal University of Rio de Janeiro. Research Interests: Ferreira specializes in Bayesian statistics, multi-scale modeling, spatial-temporal models, computational methods (e.g., MCMC), and applications in environmental science, genomics, and epidemiology. His work emphasizes hierarchical models, inverse problems, and high-dimensional data analysis. Publications Trends: His research spans advanced statistical methodologies for environmental monitoring, civil unrest modeling, and genomic data analysis. Key themes include Bayesian hierarchical models, spatiotemporal fusion, and computational algorithms for optimal experimental design. Awards & Honors: OBAYES Poster Prize (2009) CNPq Fellowship (2003–2006) WNAR/COBAL 2 Award (2005) Springer Poster Prize (2003) Finalist, Savage Award (2003) Best Contributed Paper (JSM 2000) Professional Activities: He serves as an Associate Editor for Bayesian Analysis and is a member of the American Statistical Association and the International Society for Bayesian Analysis.

Premila P. Samuel Russellمشاهده پروفایل

استادیار

• Biochemistry
• Physical Chemistry
• Computational Chemistry
• +۳ مورد دیگر

Premila P. Samuel Russell is an Assistant Professor of Chemistry at Saint Louis University (SLU), within the School of Science and Engineering. Her research focuses on computational modeling of human cell environments to study biomolecular dynamics and hidden states inaccessible via traditional experiments. She integrates in silico simulations with experimental assays for validation. Education: B.A. in Chemistry, Berea College, Kentucky, 2012 Ph.D. in Biochemistry, Rice University, Texas, 2017 Research Interests: Computational Chemistry: Developing atomistic models of cytoplasmic environments to simulate protein behavior. Biophysics: Exploring protein folding, misfolding, and interactions in cellular contexts. Protein Dynamics: Investigating enzyme choreography and metabolon formation through all-atom simulations. Drug Design: Analyzing hemoglobin structure for therapeutic applications like Voxelotor. Her recent work emphasizes 'cells-on-computers' simulations and high-throughput experimental assays, addressing limitations in spatial-temporal resolution of conventional methods. Awards: Cooley’s Anemia Foundation Research Fellowship (2023) D.E. Shaw Research Women’s Fellowship (2021) Rice University’s George J. Schroepfer Awards for Thesis and Research Excellence (2017–2018) Her lab (Premila Research Group) bridges computational and experimental approaches to advance understanding of biomolecular systems. Contact: premila.russell@slu.edu at Monsanto Hall, SLU.

Stefan Sieberمشاهده پروفایل

استاد

• Food Security
• Climate Change Adaptation
• Bioenergy
• +۵ مورد دیگر

Prof. Stefan Sieber is a Professor at the Leibniz Centre for Agricultural Landscape Research (ZALF), leading the 'Sustainable Land Use in Developing Countries' working group under Program Area 2 'Land Use and Governance'. His expertise spans food security, climate change adaptation, bioenergy systems, and agricultural policy. He holds a doctoral degree (Dr. agr. habil.) from Humboldt University of Berlin. His work emphasizes decision support systems for sustainability, policy coordination, and knowledge management in international development contexts. Research interests focus on interdisciplinary approaches to sustainable land use, integrating socioeconomic factors with ecological resilience. Recent projects include analyzing wildfire impacts in Cameroon, stakeholder dynamics in forest landscape restoration (FLR), and policy interventions for deforestation-free cocoa production in Côte d'Ivoire. He coordinates global research initiatives, advising on climate-smart agricultural practices and environmental governance frameworks. Publications highlight FLR adoption in Togo, climate change impacts on crop yields in Kenya, and energy transitions in Zambia. His work bridges academic research with practical policy solutions, particularly in vulnerable regions facing climate and development challenges. Collaborations span Sub-Saharan Africa, Southeast Asia, and Latin America, emphasizing participatory methodologies and equitable resource management.

Christina L. Archerمشاهده پروفایل

استاد

• Wind Energy
• Meteorology
• Climate Change
• +۶ مورد دیگر

Christina L. Archer is a Professor at the University of Delaware with dual appointments in the Department of Geography and Spatial Sciences and Mechanical Engineering Department under the College of Earth, Ocean and Environment. Holding the Unidel Howard Cosgrove Career Development Chair in Environment Education , she directs the Center for Research in Wind (CReW) and the Atmosphere and Energy Research Group (AERG) , advising PhD students and postdocs. Her 2004 PhD in Civil and Environmental Engineering from Stanford University and prior academic credentials in meteorology and engineering inform her interdisciplinary research. PhD, Civil and Environmental Engineering, Stanford University (2004) MS, Meteorology, San Jose State University (1998) MS, Civil and Environmental Engineering, Politecnico di Milano (1995) Dr. Archer's research focuses on wind energy and its atmospheric implications, including numerical modeling , climate change , and air quality . Her work spans offshore wind farm optimization, hurricane mitigation, and grid integration, with notable findings on wind turbine wake dynamics and ozone pollution trends. Recent publications highlight her leadership in large-eddy simulations and renewable energy systems , emphasizing environmental sustainability. Editorial Board, Meteorological Applications (Royal Meteorological Society) Associate Editor, Wind Energy Science (Copernicus) Co-Editor, Bulletin of the Atmospheric Science and Technology (AISAM) Her scientific awards include the prestigious Unidel Chair, recognizing her contributions to environmental research. Through projects like IMPOWR and VERTEX, she advances offshore wind integration and atmospheric modeling, with policy impacts on U.S. energy strategies. Dr. Archer's work bridges engineering , climate science , and public health , offering solutions for carbon-free energy systems.

• Shock Compression
• High Strain-Rate Deformation
• Synchrotron X-ray Imaging
• +۴ مورد دیگر

Dr. David Chapman is a Senior Research Associate in the Department of Engineering Science at the University of Oxford and a Senior Research Fellow at Pembroke College, Oxford. He holds a visiting academic position at Imperial College London. His research focuses on shock compression, high strain-rate deformation of heterogeneous solids, synchrotron X-ray imaging, and time-resolved diagnostics. His work explores material failure under extreme conditions, with applications in dynamic material behavior analysis. Chapman’s research interests include: Shock compression mechanics Dynamic material characterization using synchrotron radiation Advanced diagnostics for high-speed material testing Thermomechanical coupling in polymers and composites Recent studies highlight his contributions to understanding granular material compaction, ionization in warm dense matter, and the role of crystal orientation in metallic alloys. His work bridges experimental mechanics with computational modeling. Scientific Awards: No awards explicitly mentioned in the provided text. Chapman collaborates with research groups at Oxford and Imperial College London, contributing to the Solid Mechanics and Materials Engineering domain. His research leverages cutting-edge facilities like the European Synchrotron Radiation Facility (ESRF) for ultra-high-speed imaging.

• Circular Economy
• Sustainable Supply Chain Management
• Industrial Symbiosis Networks
• +۴ مورد دیگر

Devrim Murat Yazan is an Associate Professor at the University of Twente, affiliated with the Department of Industrial Engineering & Business Information Systems and the Digital Society Institute. He holds a PhD from the Interpolytechnic School of Doctorate (Politecnico di Bari, Politecnico di Milano, and Politecnico di Torino, 2011, Italy). His research focuses on sustainable supply chain management, circular economic business models, industrial symbiosis networks, and decision-making frameworks for transitioning to a circular economy. Methodologies include input-output modeling, game theory, and agent-based simulation. He leads the 'Sustainable Circular Economy' research group, supported by a Horizon 2020 grant (€725k contribution from UT). The group explores decision-making in industrial symbiosis, efficient network operations, and cost/benefit-sharing mechanisms. Recent work includes developing matchmaking platforms for circular construction ecosystems and analyzing greenwashing impacts on brand perception. Awards include the CIOB Award (2024). His teaching includes courses like 'Sustainable Business Development' and 'Sustainable Supply Chains for Consumer Products'. His work contributes to UN Sustainable Development Goals related to responsible consumption and production (SDG 12) and climate action (SDG 13). Grants and collaborations involve EU Horizon 2020 and diverse institutions. Research outputs span 62 peer-reviewed articles, with a focus on circular economy implementation, industrial symbiosis dynamics, and decision-support tools.

Richard Scalettarمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Phase Transitions
• Superconductivity
• +۵ مورد دیگر

Distinguished Professor of Physics at the University of California Davis College of Letters and Science since 1989. Primary affiliation with the Department of Physics, with significant cross-disciplinary collaborations in Applied Mathematics and Computer Science through NSF and DOE grants. Research focuses on quantum many-body phenomena in condensed matter systems and ultracold atomic gases. Expertise spans magnetism, superconductivity, metal-insulator transitions, and quantum phase transitions. Pioneers advanced Quantum Monte Carlo simulation techniques, particularly determinant quantum Monte Carlo for Hubbard and electron-phonon models. Current work investigates spatial inhomogeneities in quantum phases and strong interparticle interactions. Recent publications reveal growing integration of machine learning with quantum simulation. Research trends indicate deepening exploration of SU(N) symmetric systems, flat-band quasicrystals, photonic quantum simulators, and neural quantum states. Increasing emphasis on interdisciplinary approaches combining condensed matter theory, quantum information science, and computational mathematics. Key methodological focus remains on overcoming fermionic sign problems and developing scalable numerical algorithms. Principal investigator for major grants from the National Science Foundation (NSF), Department of Energy (DOE), Office of Naval Research (ONR), and Defense Advanced Research Projects Agency (DARPA). Significant funding through NSF Information Technology Research and DOE Scientific Discovery through Advanced Computing Programs for quantum simulation algorithm development.

Kaspar Riesenمشاهده پروفایل

پژوهشگر

• Pattern Recognition
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

PD Dr. Kaspar Riesen is the Head of the Pattern Recognition Group at the Institute of Computer Science, University of Bern. His research focuses on graph-based methods for pattern recognition, with applications in document analysis, environmental modeling, and healthcare. Key interests include graph matching, neural networks, and spatio-temporal modeling. His work spans structural pattern recognition, graph embeddings, and keyword spotting in historical documents. Recent projects involve river network analysis using graph regression and hypoglycemia prediction via LSTM-GNN hybrid models. Publications emphasize graph theory advancements, such as normalized graph compression and geometric similarity learning. Collaborations include developing specialized algorithms for automated error detection and improving decision-making in simulated sports. Labs/Teams: Pattern Recognition Group (PRG) at the University of Bern.

Zhong-Lin Luمشاهده پروفایل

عضو هیئت علمی

• Visual Perception
• Cognitive Neuroscience
• Computational Modeling
• +۶ مورد دیگر

Zhong-Lin Lu is a Distinguished Professor of Psychology and Social and Behavioral Science at The Ohio State University, holding concurrent appointments in Optometry and the Translational Data Analytics Institute. He directs the Center for Cognitive and Brain Sciences and the Center for Cognitive and Behavioral Brain Imaging. Previously, he held the William M. Keck Chair in Cognitive Neuroscience at the University of Southern California. He earned his Ph.D. in Physics from New York University (1992), following an M.S. (1991) and B.S. in Theoretical Physics from the University of Science and Technology of China (1989). His research bridges computational neuroscience, vision science, and cognitive psychology, focusing on visual perception, attention, perceptual learning, and functional brain imaging. Key methods include fMRI, EEG, and hierarchical Bayesian modeling. His work addresses clinical applications in amblyopia, myopia, and glaucoma, alongside foundational studies on decision-making and neural plasticity. He has developed novel techniques like the quantitative Contrast Sensitivity Function (qCSF) and quasiconformal mapping for retinotopic brain mapping. His labs emphasize translational research linking computational models to real-world applications. Awards: APS Fellow (2007), Society of Experimental Psychologists Early Investigator Award (2003) Leadership: Directed USC's Dornsife Cognitive Neuroscience Imaging Center (2004–2011) Interdisciplinary roles: Co-Director of OSU's Humanities/Cognitive Sciences Summer Institute Current research explores visual processing across lifespan, neural mechanisms of perceptual learning, and optimizing fMRI data through advanced computational methods. His work integrates basic science with clinical and applied domains, influencing driver safety, vision correction, and neurotechnology development.

Bruce Wigginsمشاهده پروفایل

دانشیار

• Audio Engineering
• 3D Audio
• Ambisonics
• +۵ مورد دیگر

Bruce Wiggins is an Associate Professor in Audio Engineering at the College of Science and Engineering. His research focuses on spatial audio technologies, including Ambisonics, binaural auralization, and 3D audio systems. Notable projects include the GASP guitar system and WHAM webcam-based head-tracked audio solutions. He has contributed to advancements in microphone array calibration, speaker array modeling, and virtual reality audio integration. His work bridges theory with practical applications in music technology and acoustic engineering. Education: PhD in Audio Engineering (2004). Research Interests: Ambisonics, spatial audio capture and reproduction, 3D audio for virtual reality, binaural rendering, and innovative musical instrument design. His work emphasizes practical implementations such as the GASP guitar system and calibration tools for low-cost microphone arrays. Article Trends: Recent publications address virtual stereo microphone techniques (2024), dynamic electrical systems (2024), and browser-based 3D audio (2023). Earlier work explores head-tracking algorithms (2016–2020) and acoustic modeling for domestic environments (2017). Grants/Advising: No explicit grants listed. Advising details unavailable but has collaborated with numerous researchers on projects like WHAM and GASP. Labs/Teams: Active in interdisciplinary teams developing spatial audio tools and instruments, including collaborations on virtual reality auralization and ambisonic guitar systems.

Hannah Claphamمشاهده پروفایل

استادیار

• Infectious Disease Dynamics and Control
• Vaccination Impact Analysis
• Dengue Epidemiology
• +۳ مورد دیگر

Hannah Clapham is an Assistant Professor and Programme Leader (Infectious Diseases) at the Saw Swee Hock School of Public Health, National University of Singapore. Her research focuses on infectious disease dynamics, vaccination impact, and epidemiology of dengue and Japanese encephalitis. She holds a PhD in Disease Dynamics from Imperial College London and has held roles including Head of the Mathematical Modelling Group at the Oxford University Clinical Research Unit in Vietnam. Her work integrates mathematical models with public health policy to address global health challenges, particularly in resource-limited settings. Education: BA Hons Mathematics, University of Oxford (2004-2007) MSc Modern Epidemiology, Imperial College London (2008-2009) PhD Disease Dynamics, Imperial College London (2009-2013) Research Interests: Her research emphasizes quantitative approaches to understand disease transmission, assess vaccine effectiveness, and inform policy. Key themes include: Mathematical modeling of dengue and arbovirus outbreaks Impact of vaccination strategies on disease control Serological data analysis to infer infection history Public health responses to pandemics (e.g., SARS-CoV-2) Media Contributions: Dr. Clapham frequently engages with media to explain public health issues, including commentaries on Singapore’s dengue outbreaks, pandemic preparedness, and vaccination strategies for Channel NewsAsia , The Straits Times , and others. Grants & Collaborations: Her career includes leadership in interdisciplinary projects, such as the Vaccine Impact Modelling Consortium and studies on pathogen genomics in Southeast Asia. She collaborates with global health organizations to translate research into actionable policies.

Frederic Angمشاهده پروفایل

دانشیار

• Agricultural Economics
• Environmental Economics
• Business Economics
• +۷ مورد دیگر

Dr. Frederic Ang is an Associate Professor in the Business Economics Group at Wageningen University & Research since 2023, specializing in agri-food sector productivity and sustainability. He holds a joint Ph.D. from KU Leuven and Hasselt University (2015), followed by postdoctoral roles at the University of Reading and Swedish University of Agricultural Sciences. His research focuses on sustainable intensification, dynamic optimization, and agricultural productivity analysis. He currently serves as Associate Editor of the Journal of Productivity Analysis and Co-Editor of the Journal of Agricultural Economics . Key honors include the 2023 AES Outstanding Contribution Award and 2020 Best Referee Award. His work addresses agricultural efficiency, environmental policy, and farm-level decision-making. Education: Joint Ph.D. in Bioscience Engineering and Business Economics (2015) Master of Advanced Studies in Economics (2015) M.Sc. in Tropical Natural Resources Management (2009) B.Sc. in Biosystems Engineering (2007) Research Interests: Dr. Ang examines agricultural productivity through lenses of production economics, exploring sustainable practices and environmental-economic trade-offs. His work bridges theoretical models (e.g., Hicks-Moorsteen productivity indicators) with applied analyses of farm-level data, emphasizing nitrogen management, energy resilience, and microbial innovations. Awards & Grants: Recognized for contributions to agricultural economics journals and policy research. Active in OECD initiatives on productivity and environment. Projects include leading the SIMBA initiative on microbiome applications and the MINDSTEP project modeling farmer decisions under EU policies. Labs & Collaborations: Engaged with interdisciplinary teams in the Business Economics Group and international partners via projects like MIXED (agroforestry systems) and MINDSTEP. Coordinates research on circular economy principles and climate-smart agriculture.

Hanna Maohمشاهده پروفایل

استاد

• Transportation Engineering
• Sustainable Transportation
• Freight Transportation Analysis
• +۴ مورد دیگر

Dr. Hanna Maoh is a Professor in the Department of Civil and Environmental Engineering at the University of Windsor. She holds a BSc from Bethlehem University (1996), MSc from McMaster University (1999), and PhD from McMaster (2005). Her research focuses on integrating transportation and land use models, freight transportation analysis, sustainable transportation strategies, and big data applications in GIS. She leads the Traffic Lab, exploring innovative solutions for cross-border logistics, electrification of fleets, and environmental impact mitigation. Key professional affiliations include the Transportation Association of Canada, Professional Engineers Ontario, and the Transportation Research Board. Her work emphasizes policy-relevant research, such as modeling Canada-US border crossing efficiency, optimizing electric vehicle charging networks, and assessing freight infrastructure resilience. Recent publications highlight advancements in truck stop location optimization using GPS data, fleet electrification demand analysis, and border crossing behavior studies. Her research consistently bridges academic insights with practical applications, informing sustainable urban planning and environmental policy.

Masahiro Ryoمشاهده پروفایل

استاد

• Environmental Data Science
• Artificial Intelligence
• Biodiversity Science
• +۵ مورد دیگر

Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website