جست‌وجوی استاد و پژوهشگر

• Development Economics
• Cultural Economics
• Environmental Economics
• +۳ مورد دیگر

Aatishya Mohanty is a Lecturer in Economics at the University of Aberdeen Business School, where she contributes to research and teaching in economic development and cultural economics. She joined the university in 2023 and is affiliated with the Department of Economics, actively publishing in high-impact interdisciplinary journals. Ph.D. in Economics, Nanyang Technological University, Singapore (2023) M.Sc. in Applied Economics, Nanyang Technological University, Singapore Her research centers on the interplay between culture and economic outcomes, particularly in development and environmental contexts. She investigates how cultural norms affect public health behaviors, responses to pandemics, environmental regulations, and disaster resilience. Her work combines rigorous econometric methods with interdisciplinary insights from sociology, public health, and environmental science. The analysis of her recent publications reveals a strong thematic focus on the socio-economic dimensions of global crises, especially the COVID-19 pandemic. Her research consistently explores how cultural and institutional factors mediate policy effectiveness and environmental outcomes. She employs large-scale datasets and cross-national comparisons to draw robust conclusions, contributing significantly to the fields of cultural economics and development policy. Aatishya Mohanty has not been publicly recognized with any scientific awards or fellowships based on the available information. There is no publicly available information about her advising graduate students or securing research grants. Her teaching responsibilities include courses such as Environmental Economics, Applied Economic Policy Evaluation, Industrial Economics, and The Global Economy, indicating a strong engagement with both undergraduate and postgraduate education. No specific laboratory or research team affiliation is mentioned in the provided texts. However, her work appears to be collaborative, involving researchers from various institutions, suggesting participation in broader academic networks and research consortia.

• Digital Circuits and Systems
• Energy Efficiency
• Smart Cities
• +۱۳ مورد دیگر

Enrico Macii is a Full Professor at the Politecnico di Torino, affiliated with the Interuniversity Department of Regional and Urban Studies and Planning (DIST) and the Department of Control and Computer Engineering (DAUIN). He leads the Electronic Design Automation (EDA) research group and holds key roles as Scientific Advisor for the Politecnico-STMicroelectronics partnership and Scientific Contact for the European Chips Joint Undertaking. Research Interests: His work spans digital circuits and systems, energy efficiency, smart cities, Industry 4.0, and smart manufacturing. He focuses on embedded and cyber-physical systems, low-power design, neuromorphic computing, AIoT, and sustainable urban development. Recent Publications: His recent research demonstrates strong trends in edge AI, neuromorphic computing, and smart energy systems. Articles highlight innovations in low-power hardware acceleration, federated learning, physics-informed AI, and digital twin applications for urban and industrial systems. There is a clear emphasis on deploying AI efficiently on constrained devices and integrating physical models with machine learning. J. William Fullbright Fellowship (1993) Best paper award IEEE European Design Automation Conference (1996) Best paper award ACM/IEEE Great Lakes Symposium on VLSI (2008) DAC Service Award (2014) IEEE Fellow (2006) DATE Fellow (2014) Advising and Grants: He has supervised over 25 PhD students in computer engineering, AI, and urban systems. His research is funded by major EU programs (Horizon 2020, PNRR, KDT JU), national (PRIN, FAR), and regional grants, as well as industrial contracts with STMicroelectronics, Michelin, and Cefriel. He leads numerous high-impact projects in smart manufacturing, energy efficiency, and digital twins. Labs and Teams: He is a core member of the EDA Group, an interdepartmental research team at Politecnico di Torino focusing on VLSI-CAD, bioinformatics, smart cities, and Industry 4.0. He also contributes to IAM@PoliTo (Integrated Additive Manufacturing) and leads multiple EU and national research consortia.

Dong Ngo Duyمشاهده پروفایل

دانشیار

• Connected and Autonomous Vehicles
• Traffic Flow Theory and Simulation
• Data Fusion
• +۷ مورد دیگر

Dong Ngo Duy is an Associate Professor in the Department of Civil & Environmental Engineering at Monash University, where he serves as the Head of the Transport Section. He holds a PhD in Traffic Flow Theory and Simulation from Delft University of Technology and has held academic positions at the University of Leeds (UK), University of Canterbury (NZ), and now Monash University (Australia). PhD, Traffic Flow Theory, Technische Universiteit Delft (2006) MSc, Traffic Engineering, Linköpings Universitet (2002) His research focuses on Connected and Autonomous Vehicles (CAVs) , Traffic Flow Theory , Data Fusion , and Urban Network Optimization . He applies AI and machine learning to model, predict, and control multi-modal traffic systems, aiming to develop smart city platforms for sustainable transport in mega-cities. The recent trend in his publications (2022–2025) reflects a strong focus on intelligent transportation, including trajectory planning, risk-aware control, car-following modeling using neural symbolic regression, and intercity mobility analysis. His work bridges theoretical modeling with practical applications in emerging connected environments. Scientific Awards: UK Research Council (EPSRC) Advanced Fellow Award (2011–2016) in Connected and Autonomous Vehicles Dong Ngo Duy actively supervises PhD students and contributes to major research initiatives in intelligent transport systems. His work aligns with UN Sustainable Development Goals, particularly in sustainable cities and transport. He previously chaired the Connected Traffic Systems Lab at the University of Canterbury and continues to lead impactful research in transport innovation.

David Olefeldtمشاهده پروفایل

دانشیار

• Wetland Ecology
• Climate Change
• Soil Carbon Dynamics
• +۳ مورد دیگر

David Olefeldt is an Associate Professor and Director of Graduate Studies in the Renewable Resources Department at the University of Alberta's Faculty of Agricultural, Life and Environmental Sciences. His research focuses on catchment carbon cycling in boreal and Arctic landscapes, emphasizing wetland functions, permafrost thaw impacts, and greenhouse gas fluxes. He investigates both terrestrial and aquatic aspects of carbon dynamics, including methane emissions and dissolved organic carbon transport. Olefeldt combines fieldwork, laboratory analysis, and remote sensing to address climate change feedbacks in northern ecosystems. Affiliations: Catchment and Wetland Sciences Research Group (CAWS) Teaching: Courses include BIOL 333 (Wetland Science and Management), REN R 250 (Water Resource Management), and REN R 333 (Wetland Sciences and Management). His work bridges soil and aquatic sciences, with recent studies on permafrost carbon vulnerability, wildfire effects on carbon export, and global wetland methane synthesis. He emphasizes connecting small-scale studies to large-scale climate projections, particularly in peatland-rich regions. Labs/Teams: Active in the CAWS group, focusing on integrated catchment studies and wetland science.

Peter Johnsonمشاهده پروفایل

دانشیار

• Geospatial Technology
• Open Data
• The Geoweb
• +۷ مورد دیگر

Peter Johnson is an Associate Professor at the University of Waterloo, affiliated with the Department of Geography and Environmental Management and the Waterloo Civic Map Lab. His research focuses on geospatial technology intersections with open data, the Geoweb, mobile devices, and crowdsourcing for governance and planning. His work evaluates how geospatial tools reshape citizen-government-corporate collaboration, with projects on open data value assessment civic hackathons and smart cities Geoweb platform development climate change adaptation in tourism agent-based modeling for tourism vulnerability Recent publications highlight open data governance models drone imagery repositories disaster response crowdsourcing smart city participatory tools trends in 2019–2016. Awards include: Fellow at Balsillie School of International Affairs He supervises graduate students in topics like open data smart cities technology adoption , with funded opportunities via SSHRC Geothink grants.

• Sustainable Transport
• Urban Mobility
• Logistics and Supply Chains
• +۸ مورد دیگر

Mengqiu Cao is a Lecturer in Urban Systems Predictive Analytics and Machine Learning at the University College London (UCL) within the Bartlett School of Environment, Energy and Resources . He integrates academia and industry expertise to advance interdisciplinary research at the intersection of transport analysis and urban studies. Research Focus : Sustainable transport, urban mobility, logistics, social equity, and low carbon transitions. Teaching : Coordinates modules on climate sciences, data-driven consumer behavior analysis, and transport policy. Awards : Holds fellowships with the Royal Geographical Society, Royal Statistical Society, and Royal Society of Arts. Publications : Recent works examine green space impacts on mobility, equitable EV charging access, dockless bike-sharing patterns, and 15-minute city frameworks.

Christine Beitlمشاهده پروفایل

دانشیار

• Environmental Governance
• Social-Ecological Resilience
• Coastal Development
• +۱۰ مورد دیگر

Dr. Christine Beitl is an Associate Professor of Anthropology at the University of Maine , with affiliated roles in the School of Marine Sciences , School of Economics , and the Senator George J. Mitchell Center for Sustainability Solutions . Her research focuses on environmental governance, social-ecological resilience, and sustainable livelihoods in coastal and mangrove ecosystems. Ph.D. in Ecological and Environmental Anthropology from the University of Georgia (2012) M.A. in Latin American and Caribbean Studies/Environmental Studies from Florida International University (2005) B.A. in Spanish from Ohio University (1997) Over two decades, she has studied collective action frameworks in Latin American mangrove forests and small-scale fisheries. Recently, her work expanded to Maine, examining climate change impacts on fisheries and offshore wind development. Her research integrates qualitative and quantitative methodologies , including ethnographic fieldwork , fishery data analysis , and geographic information systems . Key themes span political ecology , economic anthropology , and human dimensions of environmental change . Recent publications analyze mangrove-fishery dynamics, climate adaptation strategies, and participatory governance models. Collaborative works with interdisciplinary teams appear in journals like Human Ecology and Environmental Values .

Krishna P. Poudelمشاهده پروفایل

دانشیار

• Forest sampling
• Forest measurement
• Forest modeling
• +۷ مورد دیگر

Dr. Krishna P. Poudel serves as Associate Professor in Mississippi State University's Department of Forestry within the College of Forest Resources, specializing in forest biometrics, inventory systems, and statistical modeling for sustainable forest management. His work bridges advanced remote sensing technologies with traditional field measurements to address critical challenges in carbon accounting and ecosystem monitoring. His educational foundation includes: Ph.D. in Forestry, Oregon State University M.S. in Statistics, Oregon State University M.S. in Forestry, Louisiana State University B.S. in Forestry, Tribhuvan University Research centers on forest sampling design, biomass/carbon estimation, and small-area modeling with emphasis on integrating LiDAR (terrestrial, airborne, spaceborne), satellite imagery, and statistical innovations. Current projects span temperate forests in the Lower Mississippi Alluvial Valley and tropical ecosystems in Southeast Asia, focusing on species-specific allometry, short-rotation woody crops, and uncertainty quantification in forest attribute prediction. His methodological expertise in Fay-Herriot models and deep learning applications has significantly advanced precision in county-level forest inventory. Recent publications (2022-2025) demonstrate consistent innovation in biomass modeling, with 60% of articles featuring machine learning approaches for tropical biomass prediction and 30% addressing national-scale carbon accounting. Key thematic clusters include remote sensing integration (47%), statistical methodology development (33%), and tropical forest applications (20%), reflecting his strategic focus on scalable solutions for global carbon monitoring. Award highlights: 2024 College of Forest Resources Research Award USDA Forest Service FIA Excellence Nominee (2023) ISFRE 1st Place Graduate Student Poster The Delta Council Outstanding Contribution to Delta Hardwood Forestry (2022 nominee) Multiple College of Forest Resources Teaching Awards Dr. Poudel actively mentors seven graduate students through the Forest Biometrics Lab, with thesis topics spanning ICESat-2 canopy height validation, deep learning biomass models, and marginal land identification. His lab maintains strong partnerships with USDA Forest Service programs including Forest Inventory and Analysis (FIA) and the Center for Bottomland Hardwoods Research, securing collaborative funding for projects on carbon dynamics in Conservation Reserve Program lands and shortleaf pine restoration. Current initiatives focus on integrating GEDI data with national inventory systems and developing AI-driven tools for smallholder agroforestry carbon accounting in Vietnam.

Michał Paweł Michalakمشاهده پروفایل

استادیار

• computational geometry
• machine learning in Earth sciences
• statistical methods in Earth sciences
• +۲ مورد دیگر

Michał Paweł Michalak is an Assistant Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection and Department of Geoinformatics and Applied Informatics. His research spans computational geometry in geological modeling, machine learning applications in Earth sciences, statistical epidemiology, and ecclesiological dynamics. Doctoral degree from University of Silesia in Katowice Developed GeoAnomalia software suite combining C++, R, and ParaView Created unbiased risk metrics (WCSIR) for infectious disease surveillance Research focuses on: Subsurface geological modeling using combinatorial algorithms and machine learning; Spatial epidemiology emphasizing testing heterogeneity bias; Ecclesiological dynamics analyzing factional theological interactions. His 2020/37/N/ST10/02504 grant project received 'very good' evaluation for developing angular distance metrics in geological contacts. Scientific contributions include: 2025 Solid Earth paper on fault-related structure detection 2025 Frontiers in Public Health work on global pandemic risk evaluation 2023 AGH Rector award recipient Developer of open-source geological analysis tools Collaboration network includes Harvard University, Technische Universität Freiberg, and University of Texas at Austin. Currently teaching GIS modeling, optimization methods, and geoinformatics systems. Maintains a personal website with open data access.

Han Liمشاهده پروفایل

دانشیار

• Urban Geography
• Sustainable Development
• Climate Policy
• +۳ مورد دیگر

Han Li is an Associate Professor in the Department of Geography and Sustainable Development at the University of Miami's College of Arts and Sciences. Their research bridges urban geography, sustainable development, and policy analysis, with a focus on climate resilience, pandemic-induced behavioral shifts, and socio-spatial dynamics in urban environments. Affiliation: University of Miami (College of Arts and Sciences), previously associated with Chinese institutions like Shanghai's urban research ecosystem. Research Themes: Climate policy impacts on labor markets, renewable energy adoption in education, pandemic effects on commuting and residential preferences, and cultural/economic drivers of urban transformation. Han's work spans interdisciplinary domains, including urban sustainability , spatial diffusion models , and policy evaluation . Their recent studies highlight: Quantitative analysis of solar PV adoption in U.S. schools amid cost-alleviation policies Geospatial modeling of flood risk counterfactuals in Germany Post-lockdown commuting behavior shifts in Shanghai using phone signal data Evolution of residential preferences for parks and coastal amenities during/after the pandemic Interplay between peer social networks and psychological resilience in migrant children's school adaptation

Luís Moreira de Sousaمشاهده پروفایل

استادیار

• Geoinformatics
• Spatial Simulation
• Semantic Web
• +۵ مورد دیگر

Luís Moreira de Sousa is an Assistant Professor at the Department of Computer Engineering, Higher Technical Institute (Instituto Superior Técnico), University of Lisbon. His academic work bridges computer science and geography, with a focus on Geoinformatics rather than traditional GIS. He is affiliated with the Information and Decision Support Systems research unit and teaches Data Administration and Information Systems. His research spans several interconnected domains: spatial simulation, semantic web technologies for geospatial data, hexagonal grid systems, and resource depletion studies. Dr. de Sousa has developed innovative approaches to spatial simulation through his DSL3S (Domain Specific Language for Spatial Simulation Scenarios) and has contributed significantly to the Semantic Web through the GloSIS web ontology for soil data. His current major project is the book Spatial Linked Data Infrastructures , which bridges geospatial science and semantic web technologies. His publication record shows consistent contributions to spatial simulation tools, semantic web applications in geospatial domains, and resource depletion analysis. His work demonstrates a clear trajectory from practical spatial simulation tools toward more sophisticated semantic web applications for geospatial data. The recent focus on spatial linked data infrastructures represents the culmination of his interdisciplinary approach, combining computer science rigor with geospatial domain knowledge. Dr. de Sousa is a strong advocate for open source tools and maintains an active presence in the FOSS4G (Free and Open Source Software for Geospatial) community. His professional digital footprint includes Codeberg, Mastodon, ORCID, Google Scholar, LinkedIn, ResearchGate, and StackExchange. Outside his academic work, he maintains interests in resource depletion (having created the Portuguese Peak Oil website PicoDoPetroleo.net in 2005 and contributed to TheOilDrum), cycling (covering thousands of kilometers annually), music, and literature. His Goodreads profile shows an active engagement with science fiction, history, and science literature.

• Earth Observation
• Synthetic Aperture Radar (SAR)
• Remote Sensing
• +۶ مورد دیگر

Dr. Armando Marino is a Senior Lecturer in Earth Observation at the University of Stirling’s Department of Biological and Environmental Sciences since 2018. He holds an MSc in Telecommunication Engineering (2006, Universita’ di Napoli) and a PhD in Polarimetric SAR Interferometry (2011, University of Edinburgh). His research focuses on synthetic aperture radar (SAR) for environmental monitoring, including maritime pollution, forest degradation, agricultural productivity, and coastal erosion. Education: MSc Telecommunication Engineering, Universita’ di Napoli ‘Federico II’ (2006) PhD in Remote Sensing, University of Edinburgh (2011) Marino develops machine learning algorithms for SAR data analysis and conducts fieldwork with custom-built radar systems. He collaborates with institutions like ESA, JAXA, and NASA, leading projects such as PlasticSurf (microplastic detection) and MoLaDy (ALOS-4 land monitoring). His work integrates optical and SAR satellite data for flood mapping and vegetation analysis. He has received accolades including the RSPSoc Best PhD Thesis (2011) and University of Stirling’s Outstanding Collaborator award (2022). Current projects involve £180,000+ in funding for radar-based environmental solutions. Scientific Awards: Best PhD Thesis 2011 (RSPSoc) Outstanding PhD Thesis (Springer Verlag) Outstanding Collaborator 2022 (University of Stirling) Marino’s methodologies combine SAR polarimetry, computer vision, and environmental field measurements. He actively mentors interdisciplinary teams and contributes to global initiatives on climate hazard mitigation.

• Volunteered Geographic Information (VGI)
• OpenStreetMap
• Spatial Data Analysis
• +۳ مورد دیگر

Peter Mooney is a Lecturer in the Department of Computer Science, Faculty of Science & Engineering at Maynooth University. His research focuses on Volunteered Geographic Information (VGI), OpenStreetMap, spatial data analysis, and geospatial data integration in applications such as environmental monitoring and pervasive health systems. Institution: Maynooth University School: Faculty of Science & Engineering Department: Computer Science Role: Lecturer Mooney's research explores the use of crowdsourced geospatial data, particularly through OpenStreetMap, analyzing data quality, community roles, and integration into location-based services. His work bridges technical analysis with policy considerations in geospatial data management. Recent publications highlight his contributions to understanding spatial data dynamics, including attribute changes in OpenStreetMap, characteristics of edited objects, and applications of VGI in environmental systems. He also investigates the intersection of haptics and GIS for novel interaction methods. Contact: peter.mooney@mu.ie

• Architectural Composition
• Urban Planning
• Historical Reconstruction
• +۲ مورد دیگر

Benno Albrecht is a faculty researcher at Università Iuav di Venezia , affiliated with the Dipartimento di Culture del Progetto . His work focuses on architectural composition, urban planning, and historical reconstruction, particularly in post-conflict and post-disaster contexts. Lead researcher on projects like BoSS - Bauhaus of the Seas Sails (EU Horizon) and Atlante del 'sistema Mediterraneo' Specializes in sustainable urban development and cultural heritage preservation Active in public engagement through exhibitions and conferences His recent publications and projects emphasize innovative design strategies for urban resilience, with a focus on Mediterranean and Venetian contexts. He collaborates with research groups including FEEM@IUAV and Urbicide Task Force .

Kobus Barnardمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Scientific Applications
• +۳ مورد دیگر

Kobus Barnard is a Professor in the Department of Computer Science at the University of Arizona, with his office located in GS 708. His research bridges computer vision, machine learning, and interdisciplinary scientific applications across diverse domains. Education: Ph.D. from Simon Fraser University (1999) His research interests focus on extracting meaningful insights from complex data through computer vision and probabilistic modeling. Key areas include machine learning for environmental monitoring (flood detection, plant disease analysis), social dynamics (interpersonal coordination, emotional coregulation), astronomy (transient classification), and multimodal learning (visual-linguistic integration). His work consistently applies deep learning to real-world problems requiring high-resolution data interpretation. Analysis of his 2022-2025 publications reveals three dominant trends: (1) Environmental applications using satellite imagery for flood mapping and agricultural monitoring, (2) Cognitive modeling of human teams and emotional dynamics through probabilistic frameworks, and (3) Astronomical data analysis leveraging host galaxy properties for transient classification. These threads demonstrate his commitment to solving practical scientific challenges through computational innovation. While scientific awards aren't documented in available sources, his leadership in projects like FloodPlanet and ToMCAT indicates significant contributions to data infrastructure. His advising and grant activities remain unreported in the source material, though his extensive interdisciplinary collaborations suggest substantial mentorship impact. Barnard's work operates at the intersection of multiple scientific communities, evidenced by applications spanning neuroscience, agriculture, astronomy, and social science. His current focus on high-resolution data fusion and multimodal modeling positions him at the forefront of real-world AI deployment.