جستجوی استاد راهنمای دانشگاهی

Julia Meyers-Manorمشاهده پروفایل

استادیار

• Animal Behavior
• Comparative Psychology
• Empathy in Animals
• +۳ مورد دیگر

Julia Meyers-Manor is an Assistant Professor of Psychology, specializing in animal behavior, empathy in animals, and comparative psychology. Her research focuses on understanding cognitive and emotional processes in non-human species, particularly canines and other domestic animals. She has contributed to studies on dogs' empathetic responses, prosocial behavior, and the neurobiological mechanisms underlying animal behavior. Her work spans topics such as heart rate variability in aggressive dogs, pain perception in fish, and episodic-like memory in pigeons. Meyers-Manor frequently publishes in cross-disciplinary areas, blending psychology, neuroscience, and animal welfare science. She has been cited as an expert in media, including a PBS NOVA story on dog-wolf behavior comparisons. Meyers-Manor’s research highlights the cognitive complexity of animals and its implications for ethical treatment and comparative psychology education. While no specific grants or awards are listed, her contributions to understanding animal empathy and cognition are notable in her field.

Thomas Strobelمشاهده پروفایل

استاد مدعو

• Linguistics
• Syntax
• Dialectology
• +۳ مورد دیگر

Thomas Strobel is an Adjunct Professor at Ca' Foscari University of Venice's Department of Linguistics and Comparative Cultural Studies. His academic career includes roles as a research assistant and fellow in multiple institutions, including Goethe University Frankfurt and the German Language Association. He holds a PhD in General Linguistics from Goethe University Frankfurt, focusing on pronominal partitivity in German dialects. Strobel's research focuses on syntax, dialectology, and morphosyntactic variation in Germanic languages. Key areas include partitive constructions, grammatical gaps, and the intersection of formal and functional approaches in linguistic variation. His recent work explores syntactic changes in German dialects and cross-linguistic partitive phenomena. He has published extensively in journals like Linguistische Berichte and Zeitschrift für Sprachwissenschaft , and edited volumes on topics like grammatical gaps and partitive constructions. His teaching spans German language courses at undergraduate and graduate levels, contributing to programs in linguistics and cultural studies. Strobel has been involved in DFG-funded projects such as the 'Syntax of Hessian Dialects' and has held postdoctoral roles at leading institutions. His work bridges theoretical syntax and empirical dialectology, emphasizing microvariation and areal linguistics.

• Digital Soil Mapping
• Soil Organic Carbon
• Machine Learning Applications
• +۳ مورد دیگر

Laura Poggio serves as a Research Associate at ISRIC - World Soil Information, which operates under Wageningen University & Research. Her work focuses on advancing digital soil mapping methodologies and global soil information systems through interdisciplinary research combining remote sensing, machine learning, and soil science. Her primary research interests include: Digital Soil Mapping at multiple scales (local to global) Soil Organic Carbon monitoring using satellite imagery Machine learning applications for soil property prediction Global soil information systems development (notably SoilGrids) Integration of remote sensing data with soil databases Analysis of her 15 most recent publications reveals strong emphasis on continental-scale soil monitoring systems, particularly using Sentinel-2 satellite data for soil organic carbon assessment across Europe. Her work consistently addresses methodological challenges in handling spatial uncertainty, integrating multi-source data, and developing scalable models applicable from local to global contexts. Key technological approaches include machine learning algorithms (particularly Random Forest), survival probability models for censored data, and multi-sensor remote sensing integration. Her research output demonstrates significant collaboration across European institutions through projects like EJP SOIL and contributions to the Global Soil Partnership. While no specific awards are documented in the available materials, her work shows substantial scholarly impact through high citation counts and dataset adoption. Dr. Poggio actively contributes to soil science through conference presentations and supervised research work, particularly focusing on operational implementation of digital soil mapping for environmental monitoring and policy support.

April Hiscoxمشاهده پروفایل

استاد

• Meteorology
• Environmental Science
• Remote Sensing
• +۳ مورد دیگر

April Hiscox is a Professor of Geography at the University of South Carolina, specializing in boundary layer meteorology. She holds a Ph.D. in Natural Resources Management and Engineering from the University of Connecticut. Her research focuses on land-air interactions, aerosol dispersion, and turbulence in stable boundary layers, utilizing lidar technology. She has held academic positions at the University of South Carolina since 2010 and Louisiana State University from 2008 to 2010. Her research interests include aerosol lidar, stable boundary layers, and microclimatology. She leads the SAVANT field campaign, studying interactions between mesoscale and microscale flows in stable boundary layers. Her work has been funded by grants from NSF, NOAA, USDA, and others, totaling over $1.2 million. Hiscox is a recipient of the Michael J. Mungo Award for teaching excellence and the Garnet Apple Award. She has advised numerous graduate students and contributes to academic service through editorial roles and committee work. Her lab webpage details ongoing projects and collaborations. Recent publications include studies on terrain slope effects on turbulence, stable boundary layer dynamics, and aerosol transport. She teaches courses such as Introduction to Weather and Climate and Microclimatology, integrating field campaigns and outreach into education.

Helen Huangمشاهده پروفایل

دانشیار

• Biomechanics
• Neuroengineering
• Locomotion
• +۳ مورد دیگر

Helen Huang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). She directs the Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Laboratory, where her team—comprising students from biomedical, mechanical, and electrical engineering—investigates motor adaptation, gait neuromechanics, and rehabilitation technologies. Her lab focuses on brain dynamics during locomotion, robotic rehabilitation devices, and advanced EEG/EMG methodologies for young and older adults. Education: Huang holds a B.S. in Materials Science and Engineering from MIT and M.S./Ph.D. in Biomedical Engineering from the University of Michigan. Prior to academia, she worked as a materials engineer at Michelin and completed postdoctoral training at the University of Colorado and University of Michigan. Research Focus: Her interdisciplinary work bridges biomechanics, neuroengineering, and rehabilitation science. Key areas include: Motor adaptation and brain dynamics during gait perturbations Robotic interventions for balance and fall prevention in aging populations Novel electrophysiological methods (EEG/EMG) for movement analysis Neuromechanical factors in interlimb coordination and stability Publication Trends: Her recent articles (2018-2024) demonstrate evolving emphasis on EEG artifact mitigation, gait perturbation responses in aging, wearable sensor development, and equity in neurodiagnostics. Methodologically, they integrate biomechanical modeling, clinical psychophysiology, and rehabilitation technology validation. Awards & Honors: 2021 UCF Reach for the Stars & Research Incentive Award 2020 UCF Luminary Award and ASB President’s Award NSF CAREER Award for EEG artifact research Invitation to U.S. National Academy of Engineering symposium (2019) NIH grantsmanship fellowship (2017) Grants & Leadership: NIH/NIA R25 multi-PI for diversity in aging research (2023-2028) NIH R01 PI for gait perturbation studies (2017-2022) Leads BRaIN Lab with cross-disciplinary student teams Teaching: Courses include Advanced Biomechanics (BME 6215), Engineering Biomechanics (BME 3211), Bioinstrumentation (BME 6500), and special topics in biomedical engineering.

Veronica Websterمشاهده پروفایل

دانشیار

• Flood Frequency Analysis
• Climate Change Impacts
• Uncertainty Analysis
• +۴ مورد دیگر

Dr. Veronica L. Webster is an Associate Professor in the Department of Civil & Environmental Engineering at Michigan Technological University. She holds a BS from the University of Vermont and MS/PhD from Cornell University. Her research focuses on flood frequency analysis, climate change impacts, uncertainty analysis, and land use changes affecting flood risks. She received the NSF CAREER Award for her work integrating climate variability and human-induced hydrologic shifts into flood risk projections. Education: BS in Civil Engineering, University of Vermont MS/PhD in Civil Engineering, Cornell University Research Interests: Dr. Webster’s work examines extreme hydrologic events, climate adaptation strategies, and data-driven methodologies for flood risk assessment. Her contributions include advancing statistical techniques for regional flood analysis and evaluating human-environment interactions in watersheds. She actively engages in professional organizations like the ASCE Environmental Water Resources Institute. Grants & Awards: NSF CAREER Award (2011–2018) for flood risk projections Co-PI on international engineering programs in Tanzania Recipient of S-STEM graduate scholarships Academic Contributions: She teaches courses on stochastic hydrology, water resources engineering, and uncertainty analysis. Her funded research has supported over 30 students through scholarships and international fieldwork opportunities.

Anil Namdeoمشاهده پروفایل

استاد

• Air Quality Management
• Public Health
• Environmental Engineering
• +۳ مورد دیگر

Anil Namdeo is a Professor of Air Quality Management at Northumbria University, holding dual chartered statuses as a Chartered Environmentalist and Chartered Scientist. He is a Fellow of the Royal Meteorological Society and the Institute of Air Quality Management. His research bridges engineering, social sciences, and public health, focusing on air quality monitoring, modeling, and management, with an emphasis on health impacts and environmental justice. Professional roles include membership in the Civil Aviation Authority’s Environmental Sustainability Panel and Defra’s Air Quality Expert Group (AQEG). He contributes to the US Transportation Research Board’s Committee on Transportation and Air Quality (ADC20). His work spans global collaborations in Africa, Asia, Europe, and South America. Research interests include climate change adaptation, net-zero strategies, and the interplay of land use, transportation, and social deprivation with air quality. Recent studies examine EV charging infrastructure, indoor air quality interventions, and green-blue-grey infrastructure’s role in pollution abatement. Key grants: Insights North East (Co-Investigator, £989,422) Advising: Supervision of Abeer Ayidh G Alomiri’s PhD on afforestation in Saudi Arabia Awards: NICE Public Health Advisory Committee contributions to guideline NG70 His interdisciplinary approach addresses policy, technology, and societal dimensions of environmental sustainability.

Jiong Tangمشاهده پروفایل

استاد

• System Dynamics
• Control
• Sensing and Automation
• +۷ مورد دیگر

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

Steven Namikasمشاهده پروفایل

دانشیار

• Coastal Geomorphology
• Aeolian Sediment Transport
• Coastal Processes
• +۳ مورد دیگر

Steven Namikas is an Associate Professor in the Department of Geography & Anthropology at Louisiana State University (LSU), part of the College of Humanities & Social Sciences. His research focuses on coastal and aeolian geomorphology, particularly sediment transport dynamics and short-term coastal processes. He collaborates with students to develop advanced measurement and modeling techniques for coastal systems, emphasizing surface moisture content and vegetation roles. He teaches courses including Coastal Geomorphology and Environmental Monitoring. Education: Ph.D., University of Southern California, 1999 M.S., Rutgers University, 1992 B.A., University of Windsor, 1988 His research explores how environmental factors like moisture and vegetation influence aeolian sediment transport. Recent publications emphasize beach dynamics, moisture modeling, and breakwater impacts. He is affiliated with LSU's Climate Extremes and Modeling Group and participates in geospatial research initiatives. No awards were explicitly mentioned in the provided text. He advises students on projects related to coastal processes and collaborates on grants focused on environmental monitoring and geomorphology.

Matthew Helmersمشاهده پروفایل

استاد

• Agricultural Water Management
• Drainage Engineering
• Water Quality
• +۹ مورد دیگر

Matthew Helmers is a Professor in the Department of Agricultural & Biosystems Engineering at Iowa State University and serves as Director of the Iowa Nutrient Research Center. His work focuses on agricultural water management, drainage engineering, and nutrient reduction strategies to address non-point source pollution impacts on Iowa's water resources.

Sheng Liمشاهده پروفایل

استادیار مدعو

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +۴ مورد دیگر

Sheng Li is an Adjunct Assistant Professor in the School of Computing at the University of Georgia (UGA). He holds roles such as Graduate Program Faculty and Courtesy Faculty in the Institute of Bioinformatics. Previously, he served as an Assistant Professor at UGA from August 2018 to July 2022. His research focuses on Machine Learning, Computer Vision, Data Mining, Natural Language Processing, Causal Inference, and User Modeling. Li earned his Ph.D. in Computer Engineering from Northeastern University in 2017, following degrees from Nanjing Institute of Post and Telecommunications in China. His work bridges theoretical advancements and practical applications, including AI solutions for healthcare (e.g., medication adherence monitoring), computer vision for wildlife tracking (fish re-identification), and causal inference methodologies. He has received notable awards like the Fred C. Davison Early Career Scholar Award (2022) and the Aharon Katzir Young Investigator Award (2020). His research is funded by grants from agencies such as the US Department of Defense and NIH, supporting projects like Knowledge-Guided Scene Graph Generation and Reasoning for Visual Understanding. Li’s publications span top venues in AI and computer science, addressing challenges in domain adaptation, trustworthy AI, and multimodal learning. He has collaborated on interdisciplinary projects, including bioinformatics and agricultural NLP. His contributions emphasize both technical innovation and societal impact.

Martina Kauzlaricمشاهده پروفایل

پژوهشگر

• Hydrology
• Flood Risk Management
• Climate Change Impacts
• +۳ مورد دیگر

Dr. Martina Kauzlaric is a researcher at the University of Bern's Institute of Geography, specializing in hydrological modeling and flood risk management. She develops national-scale frameworks to enhance flood forecasting systems in Switzerland, focusing on transparent, open-source models for operational use. Her work integrates meteorological forecasts with impact assessment to improve emergency response, emphasizing high-resolution flood risk cascades and probabilistic impact visualization tools. Her research addresses antecedent conditions' role in extreme flood generation, stochastic weather generator applications, and glacier-hydrology coupling to improve predictive accuracy. Collaborative efforts include participatory storymap development for disaster preparedness and database creation (e.g., CAMELS-CH) to standardize hydrological studies. Key contributions span flood impact modeling frameworks, surrogate models for efficient simulations, and interdisciplinary analyses of hydrological model diversity. Her projects often emphasize climate change impacts in alpine regions and the societal benefits of integrated forecasting systems. Notable projects include: National hydrological modeling framework for Switzerland Impact-based flood warning tools Storyline tools for civil protection training Participatory visualization for flood risk communication Her work aligns with enhancing decision support systems through model efficiency, uncertainty quantification, and stakeholder engagement.

Bettina Schaefliمشاهده پروفایل

استادیار

• Hydrology
• Climate Change
• Water Resources Management
• +۳ مورد دیگر

Bettina Schaefli is an Assistant Professor and Unit Leader of Hydrology at the Institute of Geography, University of Bern. Her work focuses on quantifying and predicting hydrological processes to support sustainable water resource management and mitigate extreme events. She holds a PhD in Hydrology from EPFL (2005), followed by postdoctoral research at the University of Potsdam and University of Illinois at Urbana-Champaign, and served as an Assistant Professor at TU Delft (Netherlands). Since 2016, she has been an SNSF Assistant Professor at the University of Lausanne before joining the University of Bern. Education: Environmental Engineering (EPFL, 2005 PhD) Research Priorities: Glacier-influenced hydrology, climate change impacts on hydropower, and open science initiatives Leadership Roles: Editor of Hydrology and Earth System Sciences , President of the Swiss Hydrological Commission Her research investigates how hydrological systems respond to climate change, particularly in mountainous regions. Recent studies include modeling snow and ice melt dynamics, groundwater connectivity in cryosphere systems, and future hydropower potentials in Switzerland. She collaborates with the Swiss Competence Center for Energy Research to address water resource sustainability. Key contributions include the Northern Hemisphere Snow Water Equivalent (NH-SWE) dataset, which enhances understanding of snowmelt patterns, and studies on proglacial catchment hydrodynamics. She advocates for open science through data sharing and accessible methodologies. Grants/Funding: Swiss National Science Foundation (SNSF) career development projects, institutional research grants. Labs/Teams: Leading the Hydrology Unit at the University of Bern’s Institute of Geography, collaborating with international research networks on mountain hydrology and climate change.

Tracy Ewenمشاهده پروفایل

استاد

• Computational Geometry
• Algorithms
• Climate Informatics
• +۳ مورد دیگر

Dr. Tracy Ewen is a Professor in the Department of Computer Science at ETH Zürich. Her research spans computational geometry, algorithms, and interdisciplinary applications in climate informatics and environmental modeling. She leads initiatives in computational education, designing innovative courses like the Water in Switzerland online program and collaborating on citizen science projects such as CrowdWater. Dr. Ewen emphasizes fostering interdisciplinary dialogue through academic events and workshops, addressing climate change adaptation and decision-making under uncertainty. Her work integrates hydrological field studies, policy analysis, and educational innovation to advance sustainable practices and public engagement. Key focuses include: Climate modeling and Earth system dynamics Hydrological processes in alpine environments Game-based learning for resource management Public participation in environmental monitoring Recent publications explore: Climate change education methodologies Uncertainty in decision-support systems Interdisciplinary academic event design Geophysical data analysis techniques Dr. Ewen's work bridges computer science with environmental science, contributing to both theoretical advancements and practical solutions for global challenges.

Qi Tangمشاهده پروفایل

پژوهشگر ارشد

• Hydrogeology
• Data Assimilation
• Earth System Modeling
• +۳ مورد دیگر

Qi Tang is a Research Fellow in the Department of Environmental Science at the University of Basel and concurrently serves as Coordinator of the Swiss Water Earth Systems PhD School at the University of Neuchâtel. His expertise spans hydrogeology, data assimilation, and Earth system modeling. He holds a PhD in Hydrogeology from RWTH Aachen University (2017) and has held postdoctoral positions at institutions including the Alfred Wegener Institute (Germany), the University of Basel, and the Chinese Academy of Sciences. Education: PhD in Hydrogeology, RWTH Aachen University, Germany (2012–2017) MSc in Hydrology and Water Resources, Beijing Normal University (2009–2012) BSc in Applied Mathematics, China Agriculture University (2005–2009) Research Interests: Qi Tang focuses on advancing coupled Earth system models through data assimilation techniques. His work integrates hydrological, oceanographic, and climatic processes to improve predictive accuracy. Key areas include river-aquifer interaction dynamics, satellite data integration in ocean-atmosphere models, and cloud computing for real-time water resource management. His research bridges theoretical modeling with practical applications in environmental monitoring and climate prediction. Publications: His articles emphasize data-driven approaches to environmental systems. Recent work highlights coupled model improvements using satellite data (e.g., ocean-atmosphere interactions), ensemble Kalman filtering for flood simulations, and Bayesian networks for precipitation modeling. These studies underscore his expertise in both computational methods and field applications. Advising & Grants: While no formal advisees are listed, his postdoctoral roles suggest involvement in mentoring junior researchers. No specific grants are mentioned in the provided texts. Labs/Teams: Affiliated with the Hydrogeological Processes group at the Center for Hydrogeology and Geothermal Energy (CHYN), University of Neuchâtel. This group specializes in geothermal energy, hydrochemistry, and stochastic hydrogeology.