جست‌وجوی استاد و پژوهشگر

• Disaster Management
• Risk Resilience
• Water Rescue Operations
• +۳ مورد دیگر

Naomi Morris serves as a Teaching Fellow at the University of Portsmouth within the Faculty of Science & Health, specifically affiliated with the School of the Environment and Life Sciences and the Centre of Excellence in Defence, Risk & Resilience. She actively contributes to academic research in disaster management while accepting PhD students for supervision. Her research focuses on critical areas including disaster management, risk resilience, water rescue operations, and pandemic response strategies. These interests align with multiple United Nations Sustainable Development Goals, particularly those addressing disaster risk reduction and community resilience. Her work bridges theoretical frameworks with practical emergency response applications across diverse contexts. Morris has contributed to significant research projects including the GCRF-funded study on 'Impact of Covid19 in developing countries' and the examination of UK Search and Rescue frameworks titled 'For those in peril on the sea.' Her collaborative approach is evident through numerous co-authored publications spanning emergency medicine, geography, and public policy domains. Her research demonstrates an evolving trajectory from technical geospatial applications toward more community-centered emergency response frameworks, with particular emphasis on water rescue operations and pandemic prevention. This progression reflects growing focus on practical, community-based solutions to complex disaster scenarios. Morris actively collaborates across disciplines as a Co-Investigator on major projects. Her work has attracted substantial attention with significant readership on academic platforms like Mendeley, indicating relevance and impact within her research communities.

• Climate Change
• Ecology
• Evolution
• +۴ مورد دیگر

Dag Olav Hessen is a Professor at the University of Oslo , leading the Center for Biogeochemistry in the Anthropocene (CBA) . The center integrates expertise from the Department of Life Sciences, Earth Sciences, and Chemistry to investigate climate-carbon-ecosystem interactions in northern latitudes. Research Focus: Climate change impacts on freshwater and marine ecosystems Key Areas: Ecological stoichiometry, genome size, pelagic food webs, permafrost thaw Methodology: Interdisciplinary approaches combining fieldwork, lab experiments, and modeling His recent publications address critical issues like greenhouse gas dynamics in thawing permafrost , tipping points in lake ecosystems , and global change effects on zooplankton communities . Collaborative work spans Arctic char vulnerability, DOM-contaminant interactions, and climate governance frameworks.

Jeffrey S. Smithمشاهده پروفایل

استاد

• Cultural Geography
• Human Geography
• Migration Studies
• +۴ مورد دیگر

Jeffrey S. Smith is a Professor of Geography and Lead Undergraduate Advisor at Kansas State University's Department of Geography and Geospatial Sciences within the College of Arts and Sciences. His career spans 30 years of teaching and research focused on emotional attachment to place and restorative environments. Education : Ph.D. in Cultural-Historical Geography (1997), Arizona State University; M.A. (1990) and B.A. (1988) in Geography from Bowling Green State University and University of Northern Colorado respectively Research Interests include cultural landscapes, migration studies, and community development. His work examines topics such as acequias in the Upper Rio Grande, rural health care improvements in Central America, and cognitive mapping methodologies. Scientific Contributions feature 27 refereed journal articles, 10 book chapters, 19 book reviews, and the 2018 book Explorations in Place Attachment . He co-edited the 2016 textbook World Regions and Places . Scientific Awards : 2001 Editor's Choice Award for 'Los Hermanos Penitentes' 2006 Mexico-North Research Network Transnational Fellow 2004 Presidential Award for Excellence in Undergraduate Teaching 2017 Iman/K-State Alumni Outstanding Teaching Award Dr. Smith has served as Book Review Editor for Journal of Cultural Geography and advised 11 graduate students (8 Masters, 3 Ph.D.) during his career. His work on transnational migration from rural Mexico and community development in Central America has secured 22 research grants.

• Energy System Modeling
• Renewable Energy Optimization
• Sustainable Energy Systems
• +۳ مورد دیگر

Thushara Addanki is a Researcher at the Chair of Renewable and Sustainable Energy Systems, Technical University of Munich (TUM). He holds a Master's degree in Power Engineering from TUM, where he completed his thesis on Intertemporal Urbs with previous investments in the endogenous material demand for new capacity investments . His work focuses on modeling, optimization, and sustainability analysis of energy systems, with emphasis on renewable integration in developing regions and green hydrogen solutions. Research interests span energy system modeling, renewable resource assessment, life-cycle environmental impact integration, and techno-economic analysis of global hydrogen/synfuel supply chains. His publications reflect expertise in high-resolution geospatial analysis (pyGRETA), cross-sectoral optimization (Impuls-urbs), and international energy policy applications. Thushara contributes to projects including ETSAP Germany (energy systems modeling) and multi-national collaborations analyzing energy transitions in Uruguay, Bavaria, and global contexts. He is active in the ENS research team at TUM, advancing tools for sustainable energy planning.

Taro Mienoمشاهده پروفایل

دانشیار

• Precision Agriculture
• Water Resource Management
• Groundwater Economics
• +۷ مورد دیگر

Taro Mieno is an Associate Professor in the Department of Agricultural Economics at the University of Nebraska-Lincoln, specializing in precision agriculture and water resource economics. His work bridges agricultural policy, spatial econometrics, and environmental sustainability. University: University of Nebraska-Lincoln Department: Agricultural Economics Academic Rank: Associate Professor Research Interests: Precision agriculture and variable rate technologies Groundwater economics and drought resilience On-farm experimentation and data-driven decision making Agricultural policy and environmental externalities Machine learning applications in agronomic optimization Soil-water interactions and resource management Email: tmieno2@unl.edu

Hye-Chung Kumمشاهده پروفایل

استاد

• Health Informatics
• Data Science
• Privacy-Preserving Record Linkage
• +۴ مورد دیگر

Hye-Chung Kum is a Professor in the Department of Health Policy & Management at Texas A&M University, where she pioneers Population Informatics to transform digital data into evidence-based health policy solutions. Her work bridges computer science, public health, and social work to address critical data challenges in healthcare systems. Education: PhD, University of North Carolina at Chapel Hill (UNC-CH), 2004 MSW (Master of Social Work), UNC-CH, School of Social Work, 1998 MS, UNC-CH, Department of Computer Science, 1997 BS, Yonsei University, Seoul, Korea, Department of Computer Science, 1995 Research Vision: Dr. Kum develops privacy-preserving human-computer hybrid systems for cleaning and integrating chaotic real-world data (e.g., EHRs, administrative records). Her Population Informatics framework enables ethical large-scale analysis while addressing data genocide in marginalized communities through innovations like the Secure Decoupled Linkage (SDLink) system. Publication Trends: Recent work (2024-2025) reveals three dominant threads: (1) Mental health service utilization dynamics during/post-pandemic, (2) Racial/ethnic disparities in emergency department use and cancer outcomes, and (3) Ethical data sharing frameworks for vulnerable populations. Her Texas-focused studies on Medicaid payment models and AI-driven record linkage demonstrate practical policy applications. Research Infrastructure: As director of the Population Informatics Lab, she leads cross-disciplinary teams developing Privacy-by-Design tools that balance public health needs with data sovereignty—particularly for American Indian and Alaska Native communities. Her grant-funded work consistently addresses Medicaid transformation and healthcare cost drivers through secondary data analytics.

Stefan Siebertمشاهده پروفایل

استاد

• Crop Production
• Sustainable Resource Use
• Climate Change Effects on Agriculture
• +۵ مورد دیگر

Professor Stefan Siebert is Head of the Department of Crop Sciences at the Agricultural Faculty of the University of Göttingen, a position he has held since October 2017. His academic career spans multiple prestigious institutions including the University of Bonn, University of Frankfurt, and University of Kassel, where he completed his doctoral studies. University of Göttingen (2017-present): Professor and Head of Crop Science/Agronomy University of Bonn (2016-2017): Temporary Head of Chair Crop Science University of Bonn (2009-2015): Habilitation in Crop Science and Resource Conservation University of Frankfurt (2004-2009): Postdoctoral Scientist University of Kassel (2002-2005): Ph.D. Student and Scientist Professor Siebert's research focuses on sustainable resource use in crop production, climate change impacts on plant growth, plant growth modeling, and drought risk assessment. His work integrates large-scale data analysis with modeling approaches to understand the complex interactions between resource use, crop management, and productivity. He has developed comprehensive datasets on water, soil, and nutrient use in agriculture and pioneered methods for analyzing irrigation systems globally. His recent publication trends reveal a strong emphasis on irrigation systems, climate change impacts on agriculture, and advanced crop modeling techniques. The analysis of his 15 most recent articles shows consistent focus on water resource management, spatial analysis of agricultural systems, and the effects of climate variability on crop production. His work frequently combines remote sensing data with ground-based measurements to create high-resolution datasets for agricultural decision-making. Professor Siebert leads several significant research projects including ZERN (Future of Nutrition in Lower Saxony, 2024-2029), Collaborative Research Center 1502 on Regional Climate Change (2022-2025), and OUTLAST (Development of a global drought hazard forecasting system, 2022-2025). He has been continuously developing and maintaining a global dataset on irrigated areas since 1997, establishing himself as a leading authority in agricultural water management. His teaching portfolio is extensive, covering scientific writing, field production exercises, general crop production, methodical work, plant biology, crop production and breeding, sustainability of production systems, and applications of data analysis to agronomy. Professor Siebert's work bridges theoretical research with practical applications in sustainable agriculture, making significant contributions to our understanding of how to maintain food security in the face of climate change.

• Substance Use and Addiction
• HIV/AIDS Prevention
• Viral Hepatitis Transmission
• +۵ مورد دیگر

Robert Heimer is a Professor of Epidemiology (Microbial Diseases) and Pharmacology at Yale University, with affiliations to the Yale School of Public Health , Center for Interdisciplinary Research on AIDS (CIRA) , and Yale Institute for Global Health . His research focuses on substance use epidemiology , HIV and viral hepatitis prevention , and harm reduction strategies , particularly addressing the opioid crisis through interdisciplinary methods combining laboratory, behavioral, and structural analyses. PhD in Molecular Biology/Pharmacology (Yale University, 1988) BA in Molecular Biology (Columbia College, 1974) His work examines injection drug use consequences , syringe exchange programs , overdose prevention , and pharmacological addiction treatment , with funding from NIH, CDC, and Gilead Foundation. Recent publications analyze spatial overdose patterns , opioid treatment accessibility , and structural stigma in rural healthcare . He has contributed to understanding HIV transmission in Russia and global harm reduction policy . Scientific Awards: Recognized through Annual Research Awards and Career Achievement Awards at Yale School of Public Health. Dr. Heimer directs the Interdisciplinary Research Methods Core at CIRA and conducts fieldwork in Vietnam and Lebanon, addressing cross-border substance use challenges and stigma in marginalized populations . His research informs public health policy and prison-to-community healthcare transitions .

Sushil Prasadمشاهده پروفایل

استاد

• Data Intensive Computing
• Energy-Efficient Deep Learning
• Parallel Algorithms
• +۳ مورد دیگر

Sushil Prasad is a Professor of Computer Science at the University of Texas at San Antonio (UTSA), affiliated with the College of Sciences. His research focuses on data-intensive computing, energy-efficient deep learning models, parallel algorithms, and high-performance software systems. He holds a Ph.D. from the University of Central Florida, an M.S. from Washington State University, and a B.Tech. from the Indian Institute of Technology, Kharagpur. His work emphasizes integrating parallel and distributed computing into early computer science curricula. Key research interests include geospatial data analysis using ICESat-2 and Sentinel-2 imagery, edge device-optimized neural networks, and scalable polygon processing algorithms. He has contributed to frameworks like MPI-GIS and Crayons for high-performance geospatial computing. His educational initiatives include NSF-funded curriculum modernization efforts in parallel computing education. Recent work trends show a focus on climate science applications (e.g., polar sea ice classification), energy-efficient AI, and GPU/OpenMP parallelization. He has organized workshops like EduHPC and EduPar to advance HPC education strategies. Notable recognition includes the TCPP Outstanding Service Award (2012). His projects span cloud-based GIS systems, distributed ML training, and big spatial data processing. Collaborations include NSF-funded research on colocation mining, trajectory analysis, and curriculum development for undergraduate HPC education.

Calvin Masilelaمشاهده پروفایل

استاد

• Globalization/Smart City Development
• African Development
• Green Infrastructure Planning
• +۶ مورد دیگر

Calvin Masilela is a Professor in the Department of Anthropology, Geospatial and Earth Sciences at Indiana University of Pennsylvania (IUP), housed within the Kopchick College of Natural Sciences and Mathematics. He holds a PhD in Environmental Design and Planning from Virginia Tech, along with advanced degrees from the University of Westminster in London. His academic roles include Director of Upward Bound Math and Science (2007–2023) and former Director of the BS Regional Planning Program (2013–2021) and McNair Scholars Program (2004–2013). His research focuses on globalization and smart city development, African urbanization, sustainable infrastructure, and land reform. Notable contributions include analyses of climate resiliency in megacities, urban agriculture systems, and Zimbabwe’s land redistribution policies. He has authored/co-authored over 30 peer-reviewed publications across journals like African Geographical Review and Planning and Environment B . Masilela has received prestigious awards such as the 2021 IUP Certificate of Appreciation and 2018 Outstanding Researcher award. His grants total over $6 million, including leadership roles in federal programs like the Ronald E. McNair Post-Baccalaureate Achievement Program and Upward Bound initiatives. His work bridges academic research with community development, emphasizing participatory planning methods and global south development challenges. He teaches courses on global cities, urban policy, African geography, and research methodologies. His professional service includes editorial roles and contributions to international development projects like the USIA-funded Higher Education Capacity Building initiative in Southern Africa.

Nikitas Karanikolasمشاهده پروفایل

استاد

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +۷ مورد دیگر

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

Karin Tonderskiمشاهده پروفایل

دانشیار

• Biogas Solutions
• Nutrient Recycling
• Circular Fertilizers
• +۵ مورد دیگر

Karin Tonderski is an Associate Professor at Linköping University's Department of Management and Engineering, specializing in Environmental Technology and Management. She leads research on biogas solutions, nutrient recycling, and wetland systems for water purification. Her work bridges environmental science with societal impact, particularly in South Africa and Baltic Sea region initiatives. Research Interests: Tonderski focuses on circular fertilizers, biogas innovation, and sustainable urban agriculture. She investigates how wetlands can mitigate eutrophication and provide clean water in informal settlements. Her projects emphasize cross-sector collaboration and policy integration for effective environmental management. Awards & Grants: Recipient of a SEK 3 million Formas grant (2019–2022) for South African wetlands research. Active in EU-funded projects like BONUS MIRACLE and the Biogas Solutions Research Center (BRC), advancing biogas as a sustainable energy source. Teaching & Mentoring: Teaches environmental engineering and sustainability courses, supervising bachelor and master theses. Contributes to LiU's PhD program in biogas solutions, emphasizing digestate management and systems thinking. Key Collaborations: Partners with Wits University (South Africa), Helmholtz UFZ (Germany), and Baltic Sea Region institutions. Her work integrates technical innovation with community-driven solutions to address global environmental challenges.

Thomas Kjeldsenمشاهده پروفایل

استاد

• Extreme events
• Machine learning
• Hydrological modelling
• +۲ مورد دیگر

Thomas Kjeldsen is a Professor in the Department of Architecture & Civil Engineering at the University of Bath. He leads multiple research projects funded by organizations such as The British Council, Royal Academy of Engineering, and The Leverhulme Trust. His research focuses on extreme events, machine learning, hydrological modeling, and nature-based solutions. He is affiliated with centers including the Water Innovation and Research Centre (WIRC), EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa), and the Institute for Mathematical Innovation (IMI). Research Interests: Extreme events, machine learning applications in hydrology, flood risk management, and civil engineering resilience. Key Projects: Development of rainfall frequency models for infrastructure design, flood reconstruction using historical data, and capacity-building for South African flood studies. His work contributes to UN Sustainable Development Goals related to climate action and clean water. Recent studies emphasize non-stationary hydrological analysis, urban flood modeling using machine learning, and interdisciplinary approaches to water resource management. Activities include advising doctoral students, organizing academic events (e.g., British Hydrological Society Symposium), and serving on external committees like Affinity Water. His research has been widely cited and featured in policy discussions and international media.

• Hydraulic Engineering
• Coastal Morphology
• Flood Risk Management
• +۳ مورد دیگر

Prof. Suzanne J.M.H. Hulscher is a Full Professor in Water Systems at the University of Twente, specializing in fluvial and coastal morphodynamics. Her research focuses on flood risk management, sediment dynamics, and climate adaptation. She has contributed to over 845 publications and supervised 55 research projects, including Vera van Bergeijk's PhD work on overtopping flows. Key achievements include the Simon Stevin Meester award (2016) and multiple best paper awards. Her work addresses UN Sustainable Development Goals through studies on saltwater intrusion, dike breach modeling, and nature-based solutions. Research highlights include hydraulic model calibration, estuarine sand wave dynamics, and vegetation effects on hydrodynamics. She actively contributes to editorial roles (CivilEng Journal) and policy advisory bodies (Wetenschappelijke Raad). Her interdisciplinary efforts bridge engineering, ecology, and climate science. Research areas: Coastal morphology, river dynamics, environmental hydraulics Key collaborations: 4TU.Centre for Research Data, IAHR, Netherlands Academy of Engineering Grants: Not explicitly listed, but extensive publications imply significant funding Her lab focuses on combining field data with numerical modeling for real-world applications like flood dashboard development and machine learning-based prediction systems. Current projects explore climate change impacts on engineered estuaries and distributive justice in climate policy.

Hankui Zhangمشاهده پروفایل

دانشیار

• Remote Sensing
• Environmental Monitoring
• Deep Learning
• +۴ مورد دیگر

Hankui Zhang is an Associate Professor in the Department of Geography and Geospatial Sciences at South Dakota State University (SDSU), and a Research Scientist at the Geospatial Sciences Center of Excellence. He holds a Ph.D. from the Chinese University of Hong Kong (2013), specializing in satellite image fusion. His research focuses on developing algorithms for medium-resolution satellite data processing (e.g., Landsat and Sentinel-2), including cloud masking, BRDF correction, and compositing. He also explores AI applications in remote sensing for land cover mapping and environmental monitoring. As a Landsat Science Team member, he contributes to global remote sensing initiatives. Education: B.S. in Geographic Information Systems, Zhejiang University (2007) M.S. in Remote Sensing, Zhejiang University (2010) Ph.D. in Geography and Resource Management, Chinese University of Hong Kong (2013) Research Interests: Deep learning applications in remote sensing, land cover dynamics, analysis-ready data development, and geospatial data harmonization. His work emphasizes operationalizing satellite data for environmental decision-making. Grants & Awards: Over $2.5M in grants as PI/co-PI, including USDA and NASA-funded projects. Notable awards include the SDSU Wadsworth Research Award (2020-2021) and the Global Scholarship for Research Excellence from CUHK (2011-2012). Professional Roles: Editorial board member for Remote Sensing of Environment and Remote Sensing ; guest editor for special issues on deep learning in remote sensing. Top 20 reviewer for Remote Sensing of Environment (2020, 2022-2024). Key Contributions: Published over 70 SCI papers, developed cloud detection algorithms (e.g., LANA), and pioneered analysis-ready data workflows for global monitoring. His work bridges satellite data science with practical environmental applications.