جست‌وجوی استاد و پژوهشگر

Yang Wangمشاهده پروفایل

دانشیار

• applied microeconomics
• health economics
• applied econometrics

Yang Wang is an Associate Professor of Public Affairs at the La Follette School of Public Affairs, University of Wisconsin-Madison, with faculty affiliations spanning the Center for Demography and Ecology, Center for Demography of Health and Aging, Center for Financial Security, Institute for Research on Poverty, and the Risk Management and Insurance Department in the Wisconsin School of Business. Her educational background includes: Ph.D. in Economics, Duke University M.A. in Economics, Duke University MIPA in International Public Affairs, University of Wisconsin-Madison B.A. in International Relations, Peking University Dr. Wang's research focuses on applied microeconomics, health economics, and applied econometrics, with publications in high-impact journals including the American Economic Journal: Applied Economics and Health Economics. Her work examines policy impacts on health outcomes, economic disparities, and demographic trends, notably contributing to The Oxford Handbook of Economics and Human Biology. Her recent 2025 publications reveal a significant expansion into intelligent transportation systems, with 15 articles centered on autonomous vehicle technologies. These works explore cloud-based driving systems, edge computing architectures, and vehicle-to-everything communication frameworks, addressing critical challenges in adverse weather navigation, safety protocols, and computational resource allocation for connected vehicles. As Co-Principal Investigator for the project 'The Consequences of Abortion Restrictions for Intimate Partner Violence and Child Welfare Involvement,' Dr. Wang leads interdisciplinary policy analysis. She teaches core courses including PA 281 Discovering What Works in Health Policy and PA 871 Public Program Evaluation, mentoring students in evidence-based policy design. Her research integrates with UW-Madison's ecosystem through collaborations with transportation innovation initiatives and demographic research centers, positioning her at the intersection of public policy and emerging technology governance.

Jannick Fischerمشاهده پروفایل

پژوهشگر ارشد

• Thunderstorm Dynamics
• Tornado Formation
• Hail
• +۳ مورد دیگر

Dr. Jannick Fischer serves as a Postdoctoral Researcher at the Institute of Meteorology and Climate Research (IMKTRO) within Germany's Karlsruhe Institute of Technology (KIT), focusing on severe convective weather systems and their societal impacts. His work bridges observational meteorology, numerical modeling, and climate science to address critical questions in extreme weather prediction. Research priorities include: Thunderstorm dynamics and climatology Tornado formation mechanisms Hail physics and hazard assessment Mesoscale modeling of convective systems Mobile measurement campaigns for thunderstorms Climate change influences on extreme events Synoptic-scale meteorological processes Analysis of his 2016-2024 publications reveals a methodological emphasis on combining idealized simulations with observational data to dissect tornadogenesis processes, particularly examining boundary interactions, cell mergers, and environmental controls on supercell evolution. His work demonstrates growing European contextualization of severe weather phenomena previously studied primarily in North American settings. No scientific awards are documented in the available materials. While active mentoring roles aren't specified, Fischer participates in collaborative projects like the Willis Hail Hazard Assessment initiative alongside Prof. Dr. M. Kunz, indicating engagement with applied meteorological research funding streams. Based in IMKTRO's atmospheric dynamics group (space 306 CN435), he contributes to KIT's severe weather research infrastructure through mobile measurement campaigns and computational modeling efforts, with recent work exploring thunderstorm intensification across complex terrain via the Thunderstorm Intensification from Mountains to Plains (TIM) partnership.

• Corporate Governance
• Managerial Accounting
• Corporate Finance
• +۵ مورد دیگر

Ingolf Dittmann is a Full Professor of Finance at the Erasmus School of Economics , with research expertise in Corporate Governance , Executive Compensation , Behavioral Finance , and Corporate Finance . He chairs major NWO-funded research projects, including "Explaining Stock Options in Executive Compensation" (VIDI 2006-2010) and "Inferring Preferences from Managerial Compensation Data" (VICI 2013-2018). Previously, he served as a visiting scholar at the University of California, San Diego . Education: PhD in Finance, Dortmund University Habilitation (Second German Degree), Humboldt-University Berlin Research Interests: Corporate Governance Executive Compensation Behavioral Finance Risk Management Financial Econometrics Game Theory Scientific Awards: NWO VIDI Grant (2006-2010) NWO VICI Grant (2013-2018) Best Paper Awards Advising and Grants: Directed NWO-funded research projects Published in Journal of Finance , Review of Financial Studies , and Journal of Econometrics Labs/Teams: Affiliated with ERIM and the Tinbergen Institute Collaborated with researchers like Ernst Maug, Oliver Spalt, and Dan Zhang

Joachim Eichhornمشاهده پروفایل

پژوهشگر

• Atmospheric Dynamics
• Rossby Waves
• Mountain Meteorology
• +۱ مورد دیگر

Dr. Joachim Eichhorn serves as a Senior Scientist (Researcher) in the Dynamic Meteorology group at Johannes Gutenberg University Mainz's Institute for Atmospheric Physics, where he has maintained continuous employment since 1990. His academic credentials include: Meteorology Diploma (University of Mainz, 1982) PhD in Meteorology (University of Mainz, 1989) Dr. Eichhorn's research centers on Atmospheric Dynamics with specialized expertise in Rossby Waves , Mountain Meteorology , and Micrometeorology . His work pioneers numerical modeling approaches for atmospheric flows, particularly through development of the MISKAM and KLIMM microscale models for urban pollution dispersion and complex terrain analysis. Key contributions include banner cloud formation mechanics, European heat wave dynamics, and traffic emissions' impact on historic structures. His 15-peer-reviewed publications (1988-2020) reveal evolving research trajectories from foundational urban climate modeling toward contemporary atmospheric predictability studies, consistently emphasizing practical environmental applications in air quality management and meteorological hazard prediction. As an integral member of the Dynamic Meteorology research group, Dr. Eichhorn collaborates on projects examining atmospheric extremes, Rossby wave packet properties, and mountain meteorology phenomena. No information regarding scientific awards, student advising, or grant funding is documented in available sources.

Vladimír Plickaمشاهده پروفایل

پژوهشگر

• Earthquake location
• Empirical Green's function modeling
• Finite-extent seismic sources
• +۲ مورد دیگر

Dr. Vladimír Plicka is a research geophysicist at the Department of Geophysics , Faculty of Mathematics and Physics, Charles University in Prague. Since 1999, he has been responsible for seismic station operations in Prague and Greece. His research focuses on earthquake source characterization , seismic wave propagation , and crustal deformation analysis using empirical Green's functions and waveform inversion techniques. PhD in Geophysics (2003, Charles University) Coordinated multinational projects: CzechGeo/EPOS (2016-2019), MOBILITY (2012-2013), Greece geodesy (2007-2009) Key research areas include: Earthquake location with P/S arrival time inversion Finite-source modeling using Empirical Green's Functions Strong motion simulation for seismic hazard assessment Crustal velocity structure from neighborhood algorithm inversions Hybrid seismic simulation combining deterministic and stochastic methods His recent publications show expertise in: Marmara and Hellenic slab intermediate-depth earthquakes Corinth Rift seismic sequence analysis 3D-to-1D crustal model conversion for seismic monitoring North Korea nuclear test source modeling He has developed: Fortran/Matlab tools for source parameter inversion GMT-compatible visualization scripts NonLinLoc uncertainty analysis software

• Stochastic Geometry
• Spatial Statistics
• Neurophysiology
• +۶ مورد دیگر

Prof. Viktor Beneš is a distinguished academic at the Department of Probability and Mathematical Statistics , Faculty of Mathematics and Physics, Charles University, Prague. His work bridges stochastic geometry and point process theory with applications in neurophysiology , materials science , and public administration . Key research themes include space-time modeling , nonlinear filtering , and statistical inference for complex systems. His recent publications focus on spatio-temporal dynamics in biological and physical systems, unions of interacting discs for spatial modeling, and stochastic microstructure analysis in polycrystalline materials. Collaborative projects span Bayesian geostatistics , survival analysis , and neuronal signal processing . Key contributions to stochastic modeling of neurophysiological experiments Developed nonlinear filtering methods for doubly stochastic processes Led international research on Markov point processes with perfect simulation

Anna Gannet Hallarمشاهده پروفایل

استاد

• Atmospheric Sciences
• Climate Change Science
• Environmental Engineering
• +۶ مورد دیگر

Dr. Anna Gannet Hallar is a Professor of Atmospheric Sciences at the University of Utah , where she leads the Hallar Aerosol Research Team (HART) and serves as a Courtesy Faculty member in the College of Earth, Ocean, and Atmospheric Sciences at Oregon State University. She is an Affiliate Scientist at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. Education: BA in Physics (Truman State University, 1999), MS (2001) and PhD (2003) in Atmospheric Sciences from the University of Colorado. Postdoctoral Training: National Research Council Postdoctoral Fellow at NASA AMES Research Center (2003), focusing on aerosol optical properties. Her research specializes in atmospheric aerosol science , employing data-driven approaches to understand aerosol-climate-air quality connections. Key areas include: Biosphere-atmosphere-climate interactions Anthropogenic emissions impact assessment New particle formation (NPF) in complex terrain Ice nucleation and mixed-phase cloud processes Halogen chemistry and mercury oxidation Mountain valley fog dynamics Recent publications emphasize NPF modeling , mercury oxidation studies , and complex terrain air quality challenges . Her work leverages advanced instrumentation and field campaigns like Storm Peak Laboratory operations. Scientific Awards Outstanding Undergraduate Research Mentor Award (University of Utah, 2023-2024) Outstanding Teaching Award (College of Mines and Earth Science, 2019) Regents' Rising Research Award (Nevada System of Higher Education, 2012) Dr. Hallar actively mentors graduate students and secures major NSF and DOE grants for projects including: REU SITE: Alpine Meteorology Training (2023-2028) CFACT: Cold Fog in Complex Terrain (2021-2025) Storm Peak Laboratory Facility Operations (2021-2026)

Sutapa Bhattacharjeeمشاهده پروفایل

پژوهشگر

• Climate Modelling
• Geospatial Techniques
• Urban and Regional Studies
• +۱۱ مورد دیگر

Dr. Sutapa Bhattacharjee is a Researcher at the School of Geography and Planning , University of Sheffield. Her work focuses on climate and geospatial analysis, with a strong emphasis on urban and regional studies. Education: PhD in Civil Engineering (2024), IIT Guwahati M.Tech(Res) in Remote Sensing and GIS from Indian Institute of Remote Sensing (ISRO) M.Sc. and B.Sc. in Physical Geography Her research explores climate modelling and geospatial techniques to analyze urban heat islands, extreme weather events, and environmental impacts of urbanization. She leads climate studies in the Andes through the NERC-funded Deplete and Retreat project. Recent publications highlight her work on Andean heatwaves , glacier mass balance , and coastal urban warming . Earlier studies focus on groundwater stress, land deformation, and flood risk in Indian cities. Contact: s.bhattacharjee@sheffield.ac.uk , Room C2, Geography and Planning Building, Sheffield S3 7ND.

Georges Kesserwaniمشاهده پروفایل

مدرس ارشد

• Flood Risk Modelling
• Hydrodynamics
• Numerical Analysis
• +۳ مورد دیگر

Dr. Georges Kesserwani is a Senior Lecturer in Water Engineering at the School of Mechanical, Aerospace and Civil Engineering , University of Sheffield. His work bridges flood risk modeling , hydrodynamic simulations , and agent-based modeling to advance automated flood mapping and forecasting. He holds an EPSRC Early Career Fellowship (2018–2024) and has organized international workshops on flood modeling. Research Interests: He develops computational methods to integrate fluid mechanics , uncertainty quantification , and human behavior in flood scenarios. Current projects include GPU-accelerated flood models Agent-based evacuation dynamics Multiwavelet terrain filtering Two-way pedestrian-floodwater interaction Scientific Contributions: His publications reveal trends in Hybrid numerical-data-driven flood simulation Uncertainty propagation in multi-hazard environments Agent-based modeling of urban evacuation Experimental validation of flow-structure interactions Awards: ASCE’s 2024 Best Reviewer Award EPSRC Early Career Fellowship DAAD Visiting Fellowship (2013–2014) Teaching & Leadership: Dr. Kesserwani teaches hydraulics , hydrology , and computer modeling to water engineering students. He leads the Water - Environmental Fluid Mechanics research group and co-organized the 2024 Advances in Flood Modelling workshop.

• Arctic Meteorology
• Climate Dynamics
• Dynamical Meteorology
• +۷ مورد دیگر

Rune Grand Graversen is a Professor at the Department of Physics and Technology , UiT The Arctic University of Norway. His research focuses on Arctic meteorology, climate dynamics, and sea-ice-atmosphere coupling, with expertise in climate modelling and extreme weather events. Arctic warming mechanisms Atmospheric energy transport Polar lows dynamics Sea ice prediction Climate sensitivity Feedback processes His recent publications (2022-2025) emphasize climate sensitivity analysis, energy transport decomposition, and Arctic amplification, utilizing satellite data, climate models, and mathematical methods like wavelet analysis. No scientific awards are mentioned in the provided text. Group Leader, Complex Systems Modelling Member, Intermittent Fluctuations in Physical Systems project

• Disability-Inclusive Disaster Risk Reduction
• Emergency Preparedness
• Interprofessional Collaboration
• +۳ مورد دیگر

Dr. Michelle Villeneuve is an Associate Professor at The University of Sydney's Centre for Disability Research and Policy, with an honorary adjunct appointment at Queen's University in Canada. She serves as Activity Lead at the World Health Organisation Collaborating Centre for Rehabilitation Capacity in Health Systems and as Deputy Director at the University of Sydney's impact Centre for Disability Research and Policy. PhD in Education, MSc in Rehabilitation Science, BSc in Occupational Therapy International experience in disaster risk reduction across Bosnia, Sri Lanka, Indonesia, and Australia Lead developer of the Person-Centred Emergency Preparedness (P-CEP) framework Her research focuses on Disability-Inclusive Disaster Risk Reduction (DIDRR) , Interprofessional Collaboration , and Community-Based Rehabilitation . She applies social learning methodologies to improve cross-sector coordination and has influenced national policy through her work with the Australian Research Council and NSW/Queensland Governments. Key awards include the 2023 National Resilient Australia Award for P-CEP Certificate Course, 2020 Canadian Women in Global Health Award, and multiple Resilient Australia Awards (2017-2023). Current research students include Louise Mitchell (Community Recovery after Bushfire), Brigit Maguire (D/deaf Emergency Preparedness), Bronwyn Simpson (Spinal Cord Injury Well-being), and Olivia Jackson (Mentoring in Occupational Therapy). Her work spans partnerships with Queenslanders with Disability Network, Community Services Industry Alliance, Infrastructure NSW, and the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP). She has co-produced 18 award-winning research outputs and leads the Collaborating4Inclusion program.

Yuvin Adnarain Chinniahمشاهده پروفایل

استاد

• Occupational Health and Safety
• Industrial Safety
• Machine Safety
• +۵ مورد دیگر

Dr. Yuvin Adnarain Chinniah serves as a Full Professor and Department Director in the Department of Mathematical and Industrial Engineering at Polytechnique Montreal. His expertise spans occupational health and safety, industrial safety engineering, and machinery risk assessment. He actively contributes to the Research Group on Globalisation and Management of Technology (GMT) and Laboratoire Poly-Industries 4.0. Dr. Chinniah's research focuses on occupational health and safety with particular emphasis on machinery safety, risk assessment methodologies, human-robot collaboration, and safety standards implementation. His work bridges theoretical frameworks with practical applications in industrial settings, addressing critical issues like confined space safety, lockout/tagout procedures, and safety in Industry 4.0 environments. His research integrates ISO and CSA standards into practical safety solutions for industrial machinery. His recent publications demonstrate a clear trajectory from traditional machine safety toward advanced applications involving robotics, digital transformation, and human-robot collaboration. The research consistently addresses safety optimization in manufacturing processes, with increasing focus on cyber-physical systems, AI integration for hazard detection, and safety-driven production planning. His work maintains strong connections to industrial standards while pushing boundaries in collaborative robotics safety. Dr. Chinniah has successfully supervised 9 Ph.D. students and 10 Master's students, with thesis topics covering confined space safety, lockout/tagout procedures, human-robot collaboration safety, and machinery risk assessment. His teaching portfolio includes key courses in safety engineering, ergonomics, and maintenance engineering. He leads significant research projects related to occupational safety in industrial settings, with particular focus on machinery safety standards implementation and risk assessment methodologies.

Christian Hofstadlerمشاهده پروفایل

دانشیار

• Construction Management
• Construction Process Optimization
• Risk Management
• +۵ مورد دیگر

Christian Hofstadler is an Associate Professor at the Institute of Construction Management and Economics (2180) at Graz University of Technology. His research focuses on optimizing construction processes, risk management, and sustainable knowledge dissemination, bridging academic rigor with practical implementation in the construction industry. Research Interests : Optimization of construction workflows Improvement of production and logistics processes Opportunity and risk management Lifecycle modeling Productivity analysis Monte Carlo simulations for uncertainty Nonlinear cost/time calculations Digitalization in construction Scientific Awards : Congress Award (2018, shared with colleagues) Recent Activities : Lead editor and chair for multiple symposia (2023-2024) Project manager for Revit revitalization (2024) Research on digital carbon footprint and infrastructure resilience Contributions to BIM planning standards and concrete process optimization

Massimo Callisto De Donatoمشاهده پروفایل

استادیار

• Internet of Things
• Digital Twin
• Machine Learning
• +۶ مورد دیگر

Massimo Callisto De Donato is an Assistant Professor specializing in Internet of Things, Digital Twin, and Machine Learning applications for real-world systems. His research addresses critical challenges in environmental management, workplace safety, and disaster response through advanced computing solutions. His primary research domains include: IoT infrastructure for real-time industrial and environmental monitoring Digital Twin development for process simulation and prediction Machine Learning frameworks for safety-critical applications Human behavior analysis using community detection algorithms ICT systems for earthquake rescue operations Analysis of his 2020-2025 publications reveals a consistent trajectory toward integrating Digital Twin and IoT technologies with machine learning for predictive capabilities. Key application areas include wastewater management (decanter centrifuge modeling), smart living environments, and earthquake disaster response systems, with increasing emphasis on real-time simulation and human activity recognition. No scientific awards are documented in the available information. Details regarding student supervision, research grants, and laboratory affiliations are not provided in the source materials.

Katsafados Petrosمشاهده پروفایل

استاد

• Atmospheric Dynamics
• Climate Change
• Renewable Energy Sources
• +۷ مورد دیگر

Katsafados Petros is a Professor and Department Chair at the Department of Geography , Harokopio University , Athens. His academic journey began with a Mathematics degree from National and Kapodistrian University of Athens (1993), followed by a Master's in Environmental Physics (1996), and a PhD in Meteorology and Environmental Physics (2003). He leads undergraduate programs in Meteorology, Climate Change, and Environmental Risk Management, while directing research in atmospheric dynamics, climate modeling, and natural disaster prediction. National and Kapodistrian University of Athens: BSc Mathematics (1993), MSc Environmental Physics (1996), PhD Meteorology & Environmental Physics (2003) Research interests span multiple interconnected domains: Atmospheric Dynamics : Regional and mesoscale simulations, meteorological data assimilation, atmosphere-ocean-land interactions Climate Science : Climate change impacts, extreme weather events, seasonal predictability Applied Geoinformatics : Modeling natural disasters, risk assessment, renewable energy applications Environmental Hazards : Air pollution analysis, dust transport, hydrometeorological disasters Marine Meteorology : Tropical-like cyclones, sea-state feedback mechanisms, ocean-atmosphere coupling Recent publications demonstrate a focus on integrating geospatial tools with climate modeling to address environmental challenges. Key trends include: Advancing data assimilation techniques using satellite observations Investigating dust transport and mineralogy impacts on climate Developing coupled atmosphere-ocean-wave models Urban climate resilience strategies like green roofs Hydrological impacts of climate change and extreme events Improving numerical weather prediction accuracy Scientific contributions include developing innovative geoinformation tools and leading interdisciplinary research projects. He serves on program committees for postgraduate programs in Applied Geoinformatics and Climate Crisis Risk Management, demonstrating leadership in academic governance and education.