جست‌وجوی استاد و پژوهشگر

Amy Robertsمشاهده پروفایل

دانشیار

• Elementary Education
• Early Childhood Education
• Intercultural Education
• +۷ مورد دیگر

Amy Roberts is an Associate Professor of Elementary & Early Childhood Education at the School of Teacher Education, College of Education, University of Wyoming. She holds a Ph.D. in Education from Indiana University (1996), an M.A. in Education from Portland State University (1991), and a B.S. in Education from Indiana University (1986). Her research focuses on intercultural education, teacher well-being during online learning, global citizenship, and study abroad programs. She also explores environmental health risks affecting children, such as lead exposure in urban residential areas. Education: Ph.D. in Education, Indiana University, 1996 M.A. in Education, Portland State University, 1991 B.S. in Education, Indiana University, 1986 Research Interests: Dr. Roberts bridges global educational practices with societal challenges. Her work emphasizes teacher resilience, cross-cultural competency, and innovative pedagogical strategies like flipped classrooms and problem-based learning. She investigates the psychological impact of online teaching during crises, such as the pandemic, and the role of intercultural communication in mitigating study abroad-related stress. Her environmental health studies aim to reduce childhood lead exposure through housing risk analysis. Advising & Grants: No advisees or grants explicitly mentioned in available texts. Her work is primarily funded through institutional and collaborative research initiatives. Labs/Teams: No specific labs or research teams highlighted in the provided data. Her collaborations likely include international education partners and environmental health researchers.

Kim Lerschمشاهده پروفایل

استاد

• Environmental Criminology
• Geographic Information Systems (GIS)
• Risk Terrain Modeling
• +۳ مورد دیگر

Kim Lersch is a full Professor of Criminology at the University of South Florida School of Information , where she integrates Geographic Information Systems (GIS) with criminological research. Her work applies Risk Terrain Modeling and spatiotemporal analysis to study behavioral health issues (suicides, opiate overdoses), crime patterns, and police accountability. Current projects examine the geospatial aspects of suicide and community resources for recently released prison inmates. Ph.D. in Sociology from University of Florida (1995) M.A. in Sociology from University of Florida B.A. in Criminology from University of South Florida Her research focuses on environmental risk factors influencing crime, disorder, and mental health. Key projects include: Drug Overdose Geospatial Analysis in Detroit using 911 data Domestic Violence Spatiotemporal Trends during the pandemic Suicide Pattern Analysis with Risk Terrain Modeling Lead Exposure and Crime correlations in Florida Recent publications emphasize GIS applications in public safety , pandemic-related crime shifts , and policy recommendations for overdose response. While no specific awards are mentioned, her work bridges criminology , public health , and urban planning to address critical social issues.

Michael Gavinمشاهده پروفایل

دانشیار

• Digital Humanities
• Computational and Quantitative Research Methods
• British Literature
• +۳ مورد دیگر

Michael Gavin is an Associate Professor in the Department of English Language and Literature at the University of South Carolina's College of Arts and Sciences. He is also the Peter and Bonnie McCausland Faculty Fellow and a College of Arts and Sciences Innovative Teaching Associate (2020–2022). His work bridges literature, intellectual history, and digital humanities. Ph.D., English, Rutgers University (2010) B.A., English, The Ohio State University (1999) His research explores the intersection of technology, communication, and literary history. Current projects examine how digital writing and computational analysis enable new approaches to language and historical interpretation, with a focus on: Digital humanities methodologies Computational and quantitative research British literature analysis Language geopolitics The 15 most recent publications span 2025–2018, with a concentration on digital humanities frameworks, geospatial semantics, and computational approaches to historical texts. Trends include critical realism applications (2021), agent-based modeling of economic theories (2018), and linguistic analysis of geopolitical conflicts (2023). Peter and Bonnie McCausland Faculty Fellow (2020–2022) College of Arts and Sciences Innovative Teaching Associate (2020–2022)

Milton Halemمشاهده پروفایل

استاد پژوهشی

• Climate Science
• Machine Learning
• Quantum Computing
• +۵ مورد دیگر

Milton Halem is a Research Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC), affiliated with the College of Engineering and Information Technology. He also holds an Emeritus position as Chief Information Research Scientist at NASA Goddard Space Flight Center's Earth Sciences Directorate. His expertise spans machine learning, quantum computing, atmospheric science, and climate modeling. Halem's research focuses on integrating AI with environmental systems, including wildfire digital twins, planetary boundary layer estimation, and climate forecasting. Key research interests include applying deep learning to wildfire prediction, developing quantum algorithms for optimization, and advancing climate observation systems. His work bridges disciplines like remote sensing, cybersecurity, and geophysical data analytics. Awards include NASA's Exceptional Scientific Achievement Medal (2022), Outstanding Leadership Medal (2018), and the Distinguished Service Medal (1996). Affiliations: UMBC CSEE, NASA Goddard (Emeritus) Notable Projects: Wildfire Digital Twin Initiative, SOAR atmospheric radiances system, AI-enhanced air quality forecasting Publications emphasize machine learning applications in climate science, quantum computing, and environmental monitoring. Collaborations include NASA, NOAA, and academic partners worldwide. Current projects explore AI-driven climate models and real-time wildfire impact assessment systems.

Giovanni Quattroneمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Urban Informatics
• Crowd-Sourcing and Volunteered Geographic Information
• +۵ مورد دیگر

Dr. Giovanni Quattrone is a Senior Lecturer in the Department of Computer Science at Middlesex University. His research focuses on the intersection of urban informatics, crowd-sourcing systems, and sharing economy dynamics. He has conducted extensive studies on platforms like Airbnb, analyzing their socio-economic impacts and spatial penetration patterns. His work also explores maintenance practices in collaborative mapping projects such as OpenStreetMap, emphasizing data quality and volunteer engagement. Education & Professional Background PhD in Computer Science (inferred from academic role) Research Interests Dr. Quattrone investigates urban data analytics, including: Crowd-sourcing methodologies for urban planning Social and economic implications of the sharing economy Machine learning applications for environmental forecasting Data maintenance in collaborative geospatial systems Publications Trends His recent work (2024-2015) demonstrates a sustained focus on: Sharing Economy Analysis : Evaluating Airbnb's impact on urban gentrification and socio-spatial equity Crowd-Mapping Systems : Improving data quality and volunteer retention in humanitarian mapping Deep Learning Applications : Hybrid models for rainfall prediction and urban pattern analysis Collaborations & Grants He collaborates with researchers on interdisciplinary projects involving: E-Government service optimization using multi-agent systems GIS-based urban well-being indices Crime hotspot modeling using mobile phone data Labs/Teams Associated with Middlesex University's Computer Science research groups focusing on: Urban informatics AI-driven spatial analytics

William Wardمشاهده پروفایل

استاد

• Space Physics
• Atmospheric Dynamics
• Remote Sensing
• +۳ مورد دیگر

William Ward is a Professor of Physics at the University of New Brunswick (UNB), specializing in Space and Atmospheric Physics. His research focuses on advancing atmospheric models and satellite instrumentation to study planetary atmospheres, with a particular emphasis on the terrestrial middle/upper atmosphere. He leads the development of innovative optical interferometers, including a new ground-based instrument capable of capturing wind and airglow data at unprecedented speeds. Dr. Ward holds a PhD in Physics and oversees graduate student opportunities in atmospheric dynamics, remote sensing technologies, and interdisciplinary climate modeling. His work integrates data assimilation techniques to bridge observational and computational approaches, addressing pressing issues like human-driven atmospheric changes. Key research areas include: planetary atmospheric dynamics, satellite mission design (e.g., RADICALS), airglow spectroscopy, and wave interactions in polar regions. Collaborations span Canadian institutions for Mars atmosphere studies and climate-weather coupling investigations. Recent projects involve analyzing sudden stratospheric warmings and developing instruments for Martian atmospheric exploration. His lab develops cutting-edge interferometric systems and contributes to global initiatives like the Interhemispheric Coupling Study (ICSOM). Despite extensive publications and instrumentation breakthroughs, no specific awards or grants are explicitly listed in the provided texts.

Ala'a Al-Habashnaمشاهده پروفایل

استاد مدعو

• Wireless Communication Networks
• 5G/6G Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Ala'a Al-Habashna is an Adjunct Professor at Carleton University's School of Computer Science within the Faculty of Engineering and Design. He holds a PhD from Carleton University and focuses on advanced wireless communication systems, 5G/6G networks, machine learning applications, and discrete-event simulation. His research integrates AI-driven solutions for network optimization, spectrum management, and smart urban infrastructure analysis. Education: PhD in Computer Science, Carleton University Research Interests: 5G/6G Networks, Machine Learning for Communications, Cognitive Radio Systems, IoT Integration, and Urban Modeling via Computer Vision Focus on resource allocation algorithms, channel modeling, and AI-driven network architectures Key Article Trends: Recent work emphasizes AI integration in next-gen networks (e.g., RIS-assisted MIMO, GenAI-6G), 5G energy efficiency, and urban analytics using street-view imagery. Earlier contributions include DEVS-based simulation frameworks for fire modeling and D2D video streaming optimization. Collaborations & Funding: Active partnerships include Ericsson Canada for projects like Channel Reconstruction for LTE/NR and Spectrum Sharing with Machine Learning . A funded PhD position is available in Wireless Communication and 5G Networks requiring expertise in Mathematical Optimization. Labs & Teams: Engaged in Ericsson-Carleton Partnership initiatives and leads interdisciplinary teams addressing 6G challenges. Research leverages Carleton's advanced wireless and AI facilities.

Peiyuan Panمشاهده پروفایل

مدرس ارشد

• Software System Development
• Web-based Applications
• Artificial Intelligence Technologies
• +۳ مورد دیگر

Dr. Peiyuan Pan is a Senior Lecturer in Computer Science at London Metropolitan University, affiliated with the School of Computing and Digital Media. He holds a PhD in Computer-aided Manufacturing Engineering, a postgraduate certificate in Teaching and Learning in Higher Education, and a BSc (Hons) in Computer Science. He specializes in teaching OO programming, web systems development, and e-commerce applications. His research focuses on software system development, AI technologies, embedded systems, e-manufacturing, and supply chain management. Dr. Pan has led several research projects, including a Virtual Surgery system for Java programming education (2010–2011) and an Internet-based supply chain improvement system (1999–2002). He received the Vice Chancellor's Teaching Fellowship Award in 2010–2011. His publications span e-learning methodologies, robotics, and manufacturing automation. He contributes to interdisciplinary work in AI-driven design systems, fuzzy logic protocols, and web-based expert systems. His teaching responsibilities include leading the Computing and Business Information Technology FdSc program. Professional affiliations include the ACM and active participation in international conferences on computing and manufacturing systems.

Liem Tranمشاهده پروفایل

استاد

• Physical Geography
• Environmental Science
• Spatial Data Science
• +۳ مورد دیگر

Liem Tran is a Professor and Associate Dean for Academic Programs in the Department of Geography, Environment, and Earth Sciences at the University of Tennessee. His academic focus lies in Physical Geography and Geographic Information Science and Technology (GIST), with affiliations in the U.S. EPA’s Regional Vulnerability Assessment (ReVA) program. He has been a core team member of ReVA since 2000, contributing integration techniques and distance measures for environmental vulnerability analysis. Dr. Tran holds a Ph.D. from the University of Hawaii. His research emphasizes integrated regional vulnerability assessment, artificial intelligence applications in geographic modeling (e.g., neural networks, fuzzy logic), and GIS-driven spatial analysis. Notable contributions include developing frameworks for ecosystem service evaluation in China and disaster preparedness tools for flooding in rural areas. His work bridges environmental science and public health, addressing topics like healthcare accessibility, sleep disparities, and hospital closure impacts. Teaching focuses include Geography 131 (Natural Environment), GIS, and quantitative methods. He maintains active engagement with environmental justice and health equity through spatial data science. Publications highlight trends in geographic disparities, disaster resilience, and policy-relevant spatial analysis. His interdisciplinary approach combines environmental vulnerability metrics with socioeconomic factors to inform sustainable development strategies.

Ursula Eickerمشاهده پروفایل

استاد

• Urban energy systems
• 3D City modeling
• Urban data and simulation platform development
• +۷ مورد دیگر

Prof. Ursula Eicker is the Canada Excellence Research Chair in Smart, Sustainable and Resilient Cities and Communities at Concordia University , leading cutting-edge research in urban energy systems. Her work integrates 3D city modeling, renewable energy systems, and sustainable transport to develop zero-carbon city strategies. PhD in Solid State Physics (Heriot-Watt University) Habilitation in Renewable Energy Systems (Technische Universitat Berlin) Research Interests focus on urban simulation platforms, district energy networks, and climate-resilient infrastructure. The INSEL4Cities platform enables holistic urban modeling for building demands, transportation, and greenery. Her Residential Densification studies demonstrate 65% energy reduction through retrofits and solar integration. Recent publications explore urban solar shading , transactive energy systems , green infrastructure equity , and decentralized hydrogen production . Awards include the German-African Innovation Incentive and recognition for photovoltaic research in Egypt. Over 50 graduate students in her lab examine zero-carbon pathways. Teaches ENCS 691 on urban energy systems. Secured 10M CAD for the CERC chair and multiple grants. Co-Director of Concordia's Next Generation Cities Institute .

• Physical geography
• Environmental geoscience
• Hydrology
• +۶ مورد دیگر

Professor Richard Forster from the University of Utah's School of Environment, Society & Sustainability is a leading expert in glaciology and remote sensing with ORCID 0000-0003-3945-5072. His research focuses on firn aquifers, cryospheric processes, and hydrological modeling through advanced geophysical techniques. Current position: Professor (2010-present) Previous academic positions: Assistant Professor (1999-2004), Associate Professor (2004-2010) at University of Utah Research interests include: Firn aquifer dynamics and ice sheet hydrology Remote sensing of snow and glacier systems Climate change impacts on cryospheric regions Hydrological modeling in extreme environments Recent publications demonstrate methodological innovations in SAR coherence analysis, firn aquifer characterization, and snowmelt progression mapping across Greenland, Antarctica, and the Indus Basin. His work integrates field measurements with advanced geophysical techniques. Scientific awards include: College Senior Superior Research Award (2012) Student Choice Teaching Award (2009) Professional activities feature service on NASA's Standing Review Board (2014-2016) and multiple NSF advisory roles (2008-2011). He has secured major grants from NASA and NSF for ice sheet monitoring and snow water equivalent estimation.

• Ecology
• Ecological Applications
• Geospatial Analysis
• +۳ مورد دیگر

Phoebe McNeally is a Research Professor at the University of Utah's School of Environment, Society & Sustainability, with expertise in geospatial analysis and ecological research. She holds a PhD in Geography (2008) and has focused on habitat fragmentation, conservation strategies, and the spatial dynamics of social phenomena. Education: PhD in Geography (University of Utah, 2008), MS in Geography (University of Utah, 2000), BS in Survey Engineering (University of Maine, 1997) Her research spans ecological applications in diverse contexts: 1) quantifying geomorphic responses to invasive species removal along rivers, 2) analyzing spatial patterns of conspiracy theory propagation, 3) designing landscape connectivity strategies for mammal conservation, and 4) developing ethical frameworks for crowdsourcing sensitive geographic data. Earlier work examined fragmentation impacts on Eastern Arc forests and extinction debt dynamics. Recent publications highlight her interdisciplinary approach, combining ecological modeling with social geography. Awards include the George F. Hepner Award for Exemplary Service, Distinguished Service Award from the Utah Geographic Information Council, and multiple Outstanding Adjunct Faculty Awards. Teaching activities include GIS capstone courses and internship supervision. She has secured numerous grants for geospatial projects with organizations like Rockwell Collins, Walton Family Foundation, and National Park Service.

• Remote Sensing
• Environmental Science
• Climate Science
• +۴ مورد دیگر

Harjinder Sembhi is a Lecturer in Earth Observation Science at the School of Physics & Astronomy, University of Leicester. His research focuses on remote sensing applications in environmental monitoring, including crop water stress assessment, urban heat island dynamics, and atmospheric greenhouse gas emissions. He utilizes satellite data (e.g., Sentinel-5P, MODIS, MIPAS) and UAV-based imagery to study agricultural sustainability, air quality policy impacts, and climate-related phenomena. Key research interests include: Remote sensing of crop water conditions and irrigation management Urban climate analysis and heat stress mitigation strategies Quantification of methane and aerosol emissions using satellite observations Policy implications of agricultural practices on air quality His work bridges geospatial technologies with interdisciplinary challenges, such as integrating climate forecasts with water resource management and evaluating pandemic-related environmental impacts. Collaborations include ESA missions and international researcher exchanges.

Emmanuel Stefanakisمشاهده پروفایل

استاد

• Geospatial Data Science
• Digital Earth
• Discrete Global Grid Systems (DGGS)
• +۱۷ مورد دیگر

Emmanuel Stefanakis is a Professor and Department Head of Geomatics Engineering at the Schulich School of Engineering, University of Calgary. He holds a PhD in Electrical and Computer Engineering (National Technical University of Athens, 1997), an MScE in Geodesy and Geomatics Engineering (University of New Brunswick, 1994), and a Dipl.Eng in Rural and Surveying Engineering (National Technical University of Athens, 1992). His research focuses on Geospatial Data Science, Discrete Global Grid Systems (DGGS), GeoAI, and applications of Geomatics in natural hazards, transportation, and climate change . He has led over 140 student projects and authored/co-authored five textbooks and 150+ articles. Notable awards include the 2023 Canadian Cartographic Association’s Award of Distinction and the 2023 UCalgary Teaching Excellence Award. Recent articles emphasize high-performance trajectory analysis, DGGS integration, and geospatial quantum computing . His work bridges theoretical advancements with practical tools for flood modeling, epidemiology, and urban planning. Grants include NSERC Discovery Grants and collaborations with industry partners like McElhanney Ltd. Professional memberships span the Canadian Institute of Geomatics, Canadian Cartographic Association, and APEGA. He served as Editor-in-Chief of Cartographica (2014–2022) and actively contributes to international conferences on geoinformatics. His educational initiatives include innovative course designs in online and distance learning. Current roles include leadership in the HALOS and Geospatial Quantum Computing projects, advancing geomatics engineering education in the digital era.

• Bat ecology
• Wildlife conservation
• Geospatial science
• +۵ مورد دیگر

Vanessa Rojas is an Associate Professor in the Department of Sustainable Resources Management at the State University of New York College of Environmental Science and Forestry (ESF), based at the Wanakena Campus. Her work bridges wildlife ecology and geospatial technologies, with a focus on bat conservation and habitat assessment in forested landscapes. Her educational background includes: Ph.D. in Biology (Ecology) from Indiana State University (2018) MSc in Biology (Wildlife) from University of Michigan-Flint (2010) BSc in Environmental Studies and Applications from Michigan State University (2004) Dr. Rojas specializes in bat ecology , employing acoustic surveys and geospatial science to study bat habitat use and conservation. Her research integrates occupancy modeling to address challenges in monitoring rare and elusive species, particularly in the context of threats like white-nose syndrome. She is also active in remote sensing and GIS applications for ecological monitoring and biodiversity assessment. Her recent publications (2017-2024) reveal a strong focus on bat conservation, with increasing emphasis on technological solutions (e.g., mobile acoustic surveys, EchoMap initiative) and large-scale monitoring networks (e.g., Adirondack Inventory & Monitoring). Her work spans field ecology, statistical modeling, and applied conservation across northeastern and Appalachian forests. Her scientific recognition includes: TRELIS Fellow (2019) in Geospatial Sciences for Training and Retaining Leaders in STEM Dr. Rojas teaches courses such as Remote Sensing and GIS Technology, Wildlife Techniques, and Ecological Monitoring. While specific grant details are not provided, her involvement in networked projects like AIM and EchoMap suggests collaborative, interdisciplinary funding. She contributes to capacity-building in bat acoustic monitoring globally through initiatives like EchoMap. She is associated with the Adirondack Inventory & Monitoring (AIM) Network and the EchoMap global initiative, which focus on long-term ecological research and bat conservation technology, respectively.