جست‌وجوی استاد و پژوهشگر

• X-ray astronomy
• Galaxy clusters
• Inverse Compton scattering
• +۱۰ مورد دیگر

Dan Wik is an Associate Professor in the Department of Physics & Astronomy at the University of Utah . His research focuses on observational X-ray astronomy, particularly galaxy clusters, inverse Compton scattering, X-ray binaries, and the X-ray background. He has extensive experience in data calibration, analysis tool development, and mission collaborations such as NuSTAR, Chandra, and XRISM. Wik holds a PhD in Astronomy from the University of Virginia (2010) and a BS in Astrophysics from Ohio University . His research interests span galaxy cluster mergers, nonthermal emission processes, high-energy astrophysics, and cross-calibration studies between X-ray observatories. Recent articles highlight his work on NuSTAR observations of galaxy clusters, X-ray binary populations in M31 and M33, inverse Compton emission constraints, and stray light background analysis techniques. His studies often integrate multiwavelength data and address cosmological implications of X-ray observations. Wik has received multiple grants from NASA for projects like Time Domain X-ray Studies of AGN and Hard Bandpass Extension of XRISM Cluster Observations . He supervises undergraduate and graduate researchers and teaches courses from general education to advanced graduate levels, including Foundations of Astronomy and High Energy Astrophysics .

Gustavo Barbozaمشاهده پروفایل

استاد

• International Business
• Agricultural Economics
• Financial Literacy
• +۵ مورد دیگر

Gustavo Barboza is a Full Professor and the Jack and Vada Reynolds Endowed Chair of International Business at the College of Business , Loyola University New Orleans . He holds a Ph.D. in Agricultural Economics from Oklahoma State University (1997) and dual citizenship in the US and Costa Rica. Fluent in Spanish, English, and Italian, his career spans applied and theoretical research with an international focus. Education: Ph.D., Agricultural Economics, Oklahoma State University, 1997 M.S., Agricultural Economics, Oklahoma State University, 1994 Licentiate, Economics, Universidad de Costa Rica, 1989 B.S., Economics, Universidad de Costa Rica, 1989 Research Interests include international business and economic growth, geography and entrepreneurship, financial education and literacy, present-biased preferences and procrastination, micro credit systems, commodity price variability, and corporate social responsibility. His work often integrates spatial econometric methods and behavioral economics. Notable Research Trends from his publications reveal a focus on knowledge spillover effects from foreign direct investment, micro credit mechanisms in Latin America, financial behavior linked to procrastination and literacy, and climate change impacts on agricultural markets. His work bridges theoretical models with empirical analyses. Awards & Grants are not explicitly mentioned in the provided text, but his role as an endowed chair suggests sustained recognition of his academic contributions. Advising and mentorship activities are not detailed here, though his leadership in research and publications indicates a strong academic influence.

Christopher S. Beekmanمشاهده پروفایل

استاد

• Mesoamerican archaeology
• Sociopolitical organization
• Settlement archaeology
• +۳ مورد دیگر

Dr. Christopher S. Beekman is a Professor in the Department of Anthropology at the University of Colorado Denver, where he has taught since 2001. His research focuses on sociopolitical practices in ancient western Mexico, particularly analyzing interactions between regional groups and employing multidisciplinary methods to deconstruct static models of subsistence and settlement. Current projects include reanalyzing unpublished collections from Los Guachimontones with Dr. Verenice Heredia Espinoza Directed excavations at Llano Grande and Navajas sites Survey work in La Primavera region and Magdalena Valley His research has been funded by the National Science Foundation, Foundation for Mesoamerican Studies, Inc., and the University of Colorado Denver. Dr. Beekman has held prestigious residential fellowships at Dumbarton Oaks, Sainsbury Research Unit, and the Getty Research Institute. Key publications include co-authored volumes on La Cerámica Arqueológica de la Tradición Teuchitlán and co-edited works on nonlinear modeling, shaft tombs, and Mesoamerican migration patterns. He has contributed chapters to edited volumes and articles in journals like Latin American Antiquity and Ancient Mesoamerica .

Lawrence Bandمشاهده پروفایل

استاد

• Ecohydrology
• Urban Watershed Management
• Forest Hydrology
• +۵ مورد دیگر

Lawrence Band serves as the Ernest H. Ern Professor in the Department of Environmental Sciences within the College of Arts and Sciences at the University of Virginia. His academic leadership spans ecohydrology, urban watershed management, and climate change impact assessment. Education Ph.D., University of California, Los Angeles (UCLA), 1983 Research Focus As an ecohydrologist, Band investigates natural-to-urban watershed transitions with emphasis on forest canopy effects on flooding/drought dynamics, freshwater quality provision, and coupled biogeochemical cycling. His pioneering work integrates unmanaged ecosystem principles into urban restoration frameworks, particularly examining green infrastructure design for climate resilience. Current projects develop computational tools for participatory watershed management, addressing vulnerability to land-use change and climate variability through advanced modeling of water-carbon-nitrogen interactions. Publication Trends Band's recent publications (2017-2018) reveal three dominant research thrusts: (1) Nonstationary hydrological processes in forested/urban watersheds under climate change; (2) Nitrate dynamics in human-impacted systems; and (3) Cross-scale modeling from canopy physiology to continental climate projections. His work bridges hydrology, biogeochemistry, and remote sensing, with significant contributions to understanding vegetation-mediated water cycling and urban stream restoration. Academic Service While specific awards aren't documented in source materials, Band's extensive publication record in premier journals (Water Resources Research, Journal of Geophysical Research, etc.) reflects significant scholarly impact. His leadership in developing the WRF/CMAQ modeling framework demonstrates translational research bridging atmospheric science and water quality management. Professional Context Band operates within UVA's Environmental Sciences department, leveraging Clark Hall facilities for interdisciplinary collaboration. His research program connects hydrological science with urban planning through computational tools enabling stakeholder-driven watershed restoration. Current work emphasizes climate adaptation strategies for Piedmont region watersheds using bias-corrected regional climate models.

Max C. N. Castoraniمشاهده پروفایل

دانشیار

• Marine Ecology
• Population Ecology
• Community Ecology
• +۵ مورد دیگر

Max C. N. Castorani is an Associate Professor in the Department of Environmental Sciences at the University of Virginia . As a marine ecologist, he focuses on population and community ecology in coastal ecosystems such as kelp forests, seagrass meadows, and oyster reefs. His research combines long-term observations, experiments, and models to address biodiversity patterns and inform coastal conservation. Ph.D., University of California, Davis and San Diego State University, 2014 Research Interests : The lab investigates ecological dynamics across multiple spatial scales, including disturbance ecology, nutrient cycling, biodiversity conservation, and ecosystem recovery. Key habitats studied are kelp forests, seagrass meadows, and oyster reefs, with interdisciplinary collaborations in biogeochemistry, oceanography, and mathematical modeling. Publication Trends : Recent work emphasizes disturbance regimes in coastal ecosystems, meta-analysis of restoration success, and spatial synchrony mechanisms. Studies often integrate climate change impacts, invasive species interactions, and ecological modeling. Teaching : He teaches courses in Fundamentals of Ecology , Coastal and Estuarine Ecology , Spatial Ecology , and Messy Data: Statistical Methods in Ecology . Research Group : The lab operates in the Department of Environmental Sciences, conducting interdisciplinary research that connects ecological theory with conservation applications.

Shilin Zhaoمشاهده پروفایل

استادیار

• Artificial Intelligence in Digital Pathology
• Spatial Transcriptomics Analysis
• Kidney Disease Morphomics
• +۴ مورد دیگر

Shilin Zhao is an Assistant Professor of Biostatistics at Vanderbilt University Medical Center, specializing in artificial intelligence applications for digital pathology and multi-omics integration. His work bridges computational methodology development with clinical pathology to address challenges in kidney disease, gut microbiome research, and metabolic disorders. Education PhD in Bioinformatics, Shanghai Institutes for Biological Sciences Research Focus Dr. Zhao's research centers on AI-driven pathology and spatial omics , with primary emphasis on: Glomerular and kidney layer segmentation using cross-species data integration Foundation model assessment for cell nuclei analysis in renal histopathology Multi-omics approaches to colitis, atherosclerosis, and metabolic diseases Development of graph networks for spatial transcriptomics prediction His methodologies frequently combine deep learning with biostatistical rigor to translate computational insights into clinical pathology applications. Publication Trends Dr. Zhao's 2025 publications demonstrate intense focus on AI pathology tools (14/15 articles), particularly glomerular analysis and spatial transcriptomics. Key themes include cross-species model adaptation (GLAM), multi-level attention networks (MagNet), and clinical validation of AI foundation models in kidney pathology. His work consistently targets diagnostic precision through computational innovation. Scientific Recognition No specific awards or honors were documented in the provided materials. Academic Contributions While student advising details are unavailable, Dr. Zhao actively contributes to methodological advances in biostatistics through high-impact publications. His involvement in the KPIS 2024 challenge indicates leadership in establishing glomerular segmentation benchmarks for the pathology AI community. Research Environment As primary faculty in Vanderbilt's Department of Biostatistics, Dr. Zhao likely collaborates with institutional resources including the Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Vanderbilt Technologies for Advanced Genomics Analysis and Research Design (VANGARD), though specific affiliations aren't explicitly stated.

Yili Hongمشاهده پروفایل

استاد

• Machine Learning
• Reliability Analysis
• Survival Analysis
• +۴ مورد دیگر

Yili Hong is a Professor in the Department of Statistics at Virginia Tech's College of Science. Her research focuses on statistical methodologies in reliability analysis, machine learning, survival analysis, and spatial data analysis. She holds a Ph.D. from Iowa State University (2009), with prior degrees from the same institution and the University of Science and Technology of China. Hong has been recognized with awards such as the ASA Physical and Engineering Sciences Award (2017) and the DuPont Young Professor Award (2011). She serves on editorial boards for journals like Technometrics and Journal of Quality Technology, emphasizing contributions to statistical reliability and big data applications. Her work bridges theoretical statistics with practical challenges in engineering and public health, including studies on Lyme disease emergence in Virginia through spatial modeling. Education: Ph.D. in Statistics, Iowa State University, 2009 M.S. in Statistics, Iowa State University, 2005 B.S. in Statistics, University of Science and Technology of China, 2004 Research interests span machine learning robustness, reliability of AI systems, degradation analysis, and statistical computing. Notable achievements include pioneering work on mixture experiments for AI algorithm evaluation and statistical methods for high-performance computing variability. Her recent projects address the reliability of autonomous systems and AI safety through recurrent event data analysis. Awards and recognitions highlight her contributions to statistical methodology and industrial applications. Editorial activities reflect her leadership in advancing statistical practice through peer-reviewed journals.

Marc De Benedettiمشاهده پروفایل

استادیار

• Machine Learning
• Medical Data Analysis
• Geophysical Modeling
• +۳ مورد دیگر

Marc De Benedetti is an Assistant Professor, Teaching Stream in the Department of Computer Science at the University of Toronto's Mississauga campus within the Mathematical and Computational Sciences school. His work bridges computational methods with healthcare analytics, geophysical modeling, and educational innovation. He specializes in applying machine learning to medical datasets (e.g., SEER cancer data) for predictive modeling and has contributed to CAR T-cell therapy efficacy studies in oncology. His geoscience research focuses on spatial-temporal variability in climate systems, particularly in the Congo Basin and UK wind dynamics. De Benedetti also designs supplementary educational programs to support undergraduate STEM learners. His research emphasizes data-driven approaches to address challenges in healthcare, environmental science, and pedagogy. Research interests include: Machine learning applications in healthcare survival prediction Immunotherapy comparative efficacy analysis Spatial variability in climate and hydrology systems Wind energy potential modeling Innovative undergraduate physics/mathematics tutoring strategies His recent articles analyze treatment outcomes for blood cancers using CAR T-cell therapies, explore model resolution impacts on geophysical data accuracy, and develop predictive tools for cancer prognosis via SEER datasets. No scientific awards are explicitly mentioned in the provided materials. While no formal grants or student advisement records are listed, his work demonstrates strong engagement with both academic research and educational development initiatives. His research locations include the Congo Basin for hydroclimatic studies and the UK for wind energy modeling. Collaborations likely span medical institutions for oncology studies and climatological agencies for environmental data analysis.

Emiliano Gelatiمشاهده پروفایل

پژوهشگر ارشد

• Hydrology
• Water Resources Modelling
• Irrigation
• +۳ مورد دیگر

Emiliano Gelati is a Research Fellow at the Department of Geosciences, University of Oslo, Norway, specializing in hydrology and remote sensing applications. He holds a PhD from the Technical University of Denmark and has extensive postdoctoral and industry experience across institutions in Italy, France, and Spain. His research focuses on hydrological modelling, water resources optimization, irrigation systems, and climate change impacts. He teaches courses on hydrology and geophysical data science. Education: PhD, Environmental Engineering, Technical University of Denmark (2007–2010) MSc/BSc, Environmental Engineering, Politecnico di Milano, Italy (2000–2006) Research Interests: Hydrological extremes and drought analysis Integration of remote sensing data into hydrological models Water resources management under climate change Modelling irrigation sustainability and crop-water interactions Land surface model validation and uncertainty assessment Articles Trends: His recent work emphasizes inter-disciplinary platforms for climate-ecosystem modelling, global water resource assessments, and satellite-based monitoring solutions. Key contributions include improving irrigation area mapping in Europe and evaluating drought trends under global warming scenarios. Advising & Grants: Supervised MSc theses on hydrologic extremes and hydrometeorological trends. Collaborated on EU-funded projects addressing water-energy-food nexus challenges and Mediterranean sustainability. Labs/Teams: Active in the Section for Geography and Hydrology (GeoHyd) and the Hydrology and Water Resources research group at the University of Oslo. Engaged with international teams like the European Joint Research Centre (JRC).

Andrew S Belmontمشاهده پروفایل

استاد

• Chromatin Structure
• Gene Expression Regulation
• Nuclear Architecture
• +۳ مورد دیگر

Andrew S. Belmont is a Professor in the Department of Cell and Developmental Biology at the University of Illinois, affiliated with the Carl R. Woese Institute for Genomic Biology. He holds the endowed title of Lincoln Professorial Scholar. Belmont completed an A.B. in Physics at Princeton University, followed by an M.D./Ph.D. in Biophysics at Temple University, and a postdoctoral fellowship at the University of California-San Francisco. His research focuses on chromatin structure, gene expression regulation, and nuclear architecture. Key interests include understanding how chromatin fibers fold into chromosomes, the dynamics of interphase chromosome positioning, and their functional implications for transcription and replication. Belmont pioneered methods like TSA-seq and CRISPR-based tagging to study chromosomal loci dynamics. Recent work explores nuclear speckles' role in gene expression regulation and genome organization. Education: A.B., Physics, Princeton University M.D./Ph.D., Biophysics, Temple University Postdoc, University of California-San Francisco Belmont’s lab integrates microscopy, molecular biology, and genomic approaches. His work has advanced understanding of chromatin dynamics, nuclear compartment interactions, and transcriptional regulation mechanisms. He contributes to large-scale initiatives like the 4D Nucleome Project, which maps genome organization across dimensions.

Pamela Souzaمشاهده پروفایل

استاد

• Auditory Processing
• Hearing Aids
• Speech Recognition
• +۴ مورد دیگر

Pamela Souza is a Professor in the Department of Communication Sciences & Disorders at Northwestern University's School of Communication. She holds secondary appointments in Linguistics and Otolaryngology-Head and Neck Surgery. Her research focuses on auditory and cognitive factors influencing hearing aid outcomes, particularly in aging populations. She is affiliated with the Hearing Aid Laboratory and is a Fellow of prominent organizations like the Acoustical Society of America and the American Speech-Language-Hearing Association. Dr. Souza earned her PhD in Audiology from Syracuse University. Her clinical interests include severe hearing loss management, tinnitus, and hearing assistive technologies. She has led NIH-funded projects investigating hearing aid signal processing and cognitive-auditory interactions. Notable contributions include developing the Spectral Correlation Index and advancing remote hearing aid assessment methods. Her research spans 30+ years, with over 100 peer-reviewed articles. Key themes include speech recognition in complex environments, working memory effects on hearing aid performance, and individualized treatment approaches. She has pioneered studies on reverberation and noise reduction technologies, emphasizing real-world acoustic challenges. Dr. Souza's grants include NIH R01 awards for studying hearing aid outcomes and compression dynamics. She has advised multiple trainees and collaborates internationally on projects like the E-LOSPHERES initiative. Her lab develops tools like the Portable Automated Rapid Testing (PART) system for auditory research.

Giulia Di Nunnoمشاهده پروفایل

استاد

• Stochastic Analysis
• Financial Mathematics
• Risk Management
• +۴ مورد دیگر

Giulia Di Nunno is a Professor in the Department of Mathematics at the University of Oslo, specializing in stochastic analysis and its applications to finance and risk management. She also holds an adjunct professorship at the Norwegian School of Economics (NHH). Her research focuses on stochastic calculus, control theory, financial modeling, and energy finance, with a particular interest in dynamic risk measures. She has led major projects like the STORM initiative on time-space risk models and is involved in interdisciplinary research on sustainability and energy markets. Di Nunno has served as President of the Scientific Council of CIMPA and is an associate editor for several prestigious journals, including Finance and Stochastics and Stochastics . Her work bridges theoretical advancements with practical applications in finance and energy sectors. Education: PhD in Mathematical Statistics (University of Pavia, 2003), Degree in Mathematics (University of Milan, 1998). Research Groups: Risk and Stochastics, STORE (completed). Key Projects: SURE-AI (AI-driven risk modeling), Unruly Sustainability (interdisciplinary research), STORM (ToppForsk project). Editorial Roles: Associate Editor for Finance and Stochastics , DEAF , FMF , and others. Her publications emphasize stochastic processes, volatility modeling, and risk measurement, with recent contributions on time-changed dynamics and applications to energy finance. She actively contributes to the international academic community through research networks like AMaMeF and ModSimFIE.

• Remote Sensing
• Urban Environment
• Nighttime Light Analysis
• +۴ مورد دیگر

Jie Li is a Clinical Assistant Professor (Part-Time) in Molecular Microbiology & Immunology at USC. His research applies remote sensing and spatial data science to environmental health challenges, with emphasis on urban nighttime light analysis, air quality monitoring, and climate-health interactions. Research Focus: Key investigations include: Urban light pollution characterization using satellite data Applications of VIIRS and Luojia-1 satellite systems Fine-scale particulate matter mapping Green space impacts on cognitive health Environmental justice dimensions of climate exposures Recent methodological innovations include deep ensemble learning for temperature reconstruction and hyperspectral data processing for air quality assessment. Case studies frequently examine Hong Kong and Los Angeles as urban laboratories. His work demonstrates strong integration of remote sensing, epidemiology, and urban planning perspectives. Studies of Earth Hour participation effects provide evidence for lighting policy interventions, while temperature variability research highlights climate justice concerns.

Anaïs Couasnonمشاهده پروفایل

پژوهشگر

• Flood Risk Management
• Climate Change
• Environmental Science
• +۳ مورد دیگر

Anaïs Couasnon is a PhD researcher at the Department of Water and Climate Risk, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, part of the Faculty of Science. Her research focuses on compound flood risk modeling, probabilistic methods, and global hazard assessment under climate change. She is supervised by Dr. Philip Ward and Dr. Hessel Winsemius as part of a VIDI project. Education: MSc in Hydraulic Engineering (TU Delft, 2017); BSc in Civil Engineering (McGill University, 2010). Research interests include probabilistic modeling, multivariate dependence analysis, flood risk management, and climate impacts on coastal-riverine interactions. She contributes to global datasets like COAST-RP and socio-hydrological benchmarking. Key activities include: Developing frameworks for compound flood risk assessment Modeling extreme sea-level events and storm surges Collaborating on global hazard frameworks and disaster risk reduction strategies Contributions to datasets include: COAST-RP dataset Panta Rhei socio-hydrological benchmark dataset

Francisco Estrada Porrúaمشاهده پروفایل

پژوهشگر ارشد

• Environmental Economics
• Climate Change Economics
• Integrated Assessment Modeling
• +۵ مورد دیگر

Francisco Estrada Porrúa is a Visiting Fellow in the Department of Environmental Economics at the Institute for Environmental Studies (IVM), Faculty of Science, Vrije Universiteit Amsterdam, and a member of the Climate Change research group at the Center for Atmospheric Sciences, National Autonomous University of Mexico (UNAM). His work bridges environmental economics and climate science, focusing on integrated assessment modeling and socio-economic consequences of climate change. Education includes: PhD (2015) in Environmental Economics, Vrije Universiteit Amsterdam MSc (2010) in Risk Management, Instituto Tecnológico Autónomo de México (ITAM) Bachelor's (1999) in Economics, Universidad Iberoamericana His research expertise spans time-series econometrics, climate change scenario development, and uncertainty analysis. Key focuses include assessing climate impacts on agriculture, evaluating regional climate policies, and modeling urban expansion's effects on biodiversity and ecosystems. He emphasizes the interplay between economic systems and environmental sustainability, particularly in developing nations like Mexico. Recent publications highlight trends in analyzing urban vs. rural carbon cost dynamics, national climate knowledge frameworks, spatial-temporal climate variability impacts, biome exposure modeling, and urban heat island risks. Notable contributions include developing stochastic integrated assessment models and regional climate scenarios. No scientific awards explicitly mentioned in the profile. However, he served as a contributing author for the IPCC's Fourth Assessment Report (Working Group II) and expert reviewer for the Fifth Assessment Report (Working Group II), reflecting his peer recognition in climate science. Estrada coordinates climate impact research projects and has supervised two PhD theses, though student names aren't listed. He actively collaborates across institutions, evidenced by frequent international co-authorships and contributions to datasets like 'Synergistic impacts of global warming' (2020) and 'Data_PlosOne.xlsx' (2017). Affiliated with VU Amsterdam's IVM institute and UNAM's Center for Atmospheric Sciences, he contributes to interdisciplinary teams addressing climate change mitigation and adaptation strategies in complex socio-ecological systems.