جست‌وجوی استاد و پژوهشگر

Flora Salimمشاهده پروفایل

استاد

• Machine Learning
• Time-series Analysis
• Spatio-temporal Data Mining
• +۵ مورد دیگر

Flora Salim is a Professor in the School of Computing Technologies at RMIT University. She serves as co-Deputy Director of the RMIT Centre for Information Discovery and Data Analytics (CIDDA) and an Associate Investigator of the ARC Centre of Excellence in Automated Decision Making and Society. Her research focuses on human behavior modeling, machine learning with time-series and spatio-temporal data, and edge AI applications in IoT and wearables. Flora has secured over $10M in research funding from ARC, industry partners, and government bodies. Notable awards include the 2021 PACM IMWUT Distinguished Paper Award, 2019 Humboldt-Bayer Fellowship, and RMIT's 2018 Research Impact Award. She leads the CRUISE research group and has held visiting professorships at the University of Kassel and University of Cambridge. Editorial roles: Associate Editor of PACM on IMWUT, Area Editor of Pervasive and Mobile Computing Steering Committee member of ACM UbiComp Her work bridges ubiquitous computing and machine learning, with applications in urban analytics, mobility, and health monitoring. Recent projects include self-supervised learning for multimodal data and forecasting with heterogeneous time-series. Supervision areas: Deep learning for sensor data, explainable AI, and wearable-based emotion sensing Teaching programs: Master of Artificial Intelligence and Master of Data Science

Madhav Erraguntlaمشاهده پروفایل

استاد آموزشی

• Machine Learning
• Artificial Intelligence
• Healthcare Technology
• +۳ مورد دیگر

Madhav Erraguntla is a Teaching Professor of Industrial & Systems Engineering at Texas A&M University , affiliated with the TEES Center for Remote Health Technologies and Systems . He holds the Mike and Sugar Barnes APT Faculty Fellow title. His research focuses on applying machine learning and AI to healthcare and supply chain management, particularly in diabetes, wearable sensor technologies, and predictive modeling. With over 25 years of industry experience, Dr. Erraguntla has contributed to analytics at AT&T (smart home technologies) and i2 Technologies (retail CRM systems). He leads projects funded by DoD, HHS, and NASA, including national blood inventory surveillance systems. He is a Professional Engineer in Texas and a member of the Institute of Industrial and Systems Engineers (IISE). Education : Ph.D., Industrial Engineering, Texas A&M University (1996); M.Tech., Industrial Engineering, NITIE, India (1989) Key Projects : SBIR grants, mosquito population modeling, diabetes management algorithms, and wearable sensor development His work bridges healthcare innovation and engineering, emphasizing real-world applications in diabetes, emergency hospital management, and public health surveillance. Recent research highlights include AI-driven glucose forecasting, hypoglycemia detection systems, and environmental impacts on disease vectors like Zika virus transmission.

• Seismology
• Earthquake Early Warning Systems
• Volcanology
• +۳ مورد دیگر

Frédérick Massin is a researcher at ETH Zürich's Swiss Seismological Service (SED), specializing in seismology, earthquake early warning systems, and volcanic monitoring. He is affiliated with the Bedretto Underground Lab (BULGG) and contributes to global seismic research. His work focuses on developing advanced algorithms for rapid earthquake rupture characterization (e.g., FinDer), improving earthquake early warning (EEW) systems in regions like Central America and New Zealand, and analyzing seismic data to enhance disaster preparedness. Key research areas include: Earthquake Source Physics and Real-Time Modeling Seismic Data Center Innovation and Global Networks Volcanic Seismicity and Lahar Detection Socio-Technical Aspects of EEW Systems Recent projects involve assessing EEW impacts in Central America, improving seismic catalogues (FEAR-1), and investigating lake ice seismicity. He collaborates internationally on initiatives such as the Nepal School Seismology Network and Yellowstone volcano-tectonic studies.

Erzhuo Cheمشاهده پروفایل

استادیار

• Geomatics
• 3D Point Cloud Processing
• Lidar Data Analysis
• +۵ مورد دیگر

Erzhuo "Ezra" Che is an Assistant Professor in the Department of Civil and Construction Engineering at Oregon State University's College of Engineering. His research focuses on 3D point cloud processing, geospatial data analysis, and infrastructure asset management. He teaches courses in 3D laser scanning, digital terrain modeling, and advanced point cloud programming. Education: Ph.D., Civil Engineering (Geomatics), Oregon State University, 2018 M.S., Photogrammetry and Remote Sensing, Wuhan University, 2015 B.Eng., Photogrammetry and Remote Sensing, Wuhan University, 2012 His research interests include lidar technology applications, automated infrastructure assessment, deformation monitoring, and error modeling. Recent work emphasizes ADA compliance evaluation using 3D point clouds and mobile lidar for road marking analysis. Dr. Che has received notable awards such as the 2022 Geo Week Achievement Award and the 2021 Martin Isenburg Best Paper Award. His projects include mapping historical structures at Silver Falls State Park and developing frameworks for efficient point cloud segmentation. His teaching and research bridge geomatics with civil engineering challenges, focusing on practical solutions for infrastructure maintenance and disaster resilience.

• Geographic Information Systems (GIS)
• Map Generalization
• Spatial Data Mining
• +۳ مورد دیگر

Jan-Henrik Haunert is a Professor at the University of Bonn, affiliated with the Institute of Cartography and Geoinformatics within the Faculty of Civil Engineering and Geodetic Science. His research focuses on map generalization, geographic information systems (GIS), and optimization techniques in cartography. He has contributed to projects funded by the German Research Foundation (DFG), particularly in deriving scale-dependent representations of geographic data. His work emphasizes logical consistency, semantic accuracy, and quality assessment in geospatial data processing. Key research areas include land cover map generalization, spatial data integration (e.g., volunteered geographic information), and rule-based incremental generalization. He has developed methodologies leveraging mixed-integer programming and straight skeleton algorithms for cartographic automation. His publications span peer-reviewed journals like GeoInformatica and Photogrammetrie - Fernerkundung - Geoinformation , as well as conference proceedings such as AGILE and ACM-GIS. Haunert’s contributions address challenges in geospatial data quality, including polygon simplification and river dataset matching. He has also explored applications in vehicle localization and virtual reality systems like the GeoScope for urban planning. His work bridges theoretical GIScience with practical applications in cartography and geoinformatics.

Elizabeth Watsonمشاهده پروفایل

دانشیار

• Coastal wetlands
• Climate change
• Ecohydrology
• +۴ مورد دیگر

Elizabeth Watson is an Associate Professor in the Department of Ecology and Evolution at Stony Brook University. She holds a Ph.D. in Geography from the University of California, Berkeley (2006). Her research focuses on understanding human impacts on coastal ecosystems to guide management and restoration. Watson’s work integrates field studies, geospatial analysis, and modeling to address challenges like nutrient pollution, sea level rise, and land use change. She collaborates with organizations such as the EPA, The Nature Conservancy, and the National Estuarine Research Reserve System. Watson also emphasizes student training and public engagement, including climate internships and interdisciplinary courses. Her lab, the Coastal Change Lab, addresses both ecological and educational dimensions of climate change impacts. Education: Ph.D., University of California, Berkeley, 2006 (Geography) Research Interests: Coastal wetlands resilience under climate change Translational ecology and stakeholder collaboration Nutrient dynamics and eutrophication effects Geospatial tools for ecosystem management Collaborations: U.S. Environmental Protection Agency National Estuarine Research Reserve System Consortium for Climate Risk in the Urban Northeast Recent Awards: Fulbright-García Robles Grant (Mexico, 2019) Advising & Outreach: Developed climate change minors and interdisciplinary courses Mentored students in coastal resilience projects Hosted public engagement events and internships Labs & Teams: Watson Lab (Coastal Change Lab)

Adrian Parkerمشاهده پروفایل

استاد

• Quaternary Science
• Geoarchaeology
• Geomorphology
• +۷ مورد دیگر

Adrian Parker is a Professor of Geography at Oxford Brookes University's School of Law and Social Sciences. He holds degrees including a DPhil from the University of Oxford. His research focuses on Quaternary science, geoarchaeology, and palaeoecology across the Middle East, North Africa, Southern Africa, and southern England. Key areas include multi-proxy environmental reconstruction using phytoliths, pollen, and geochemistry, with emphasis on understanding human-environment interactions during critical climatic transitions. Dr. Parker leads the Human Origins and Palaeo Environments (HOPE) group within the Centre for Environment and Society (CES). His fieldwork spans UAE, Saudi Arabia, Yemen, and Lesotho, addressing topics like Holocene socio-ecological systems, Neolithic settlement patterns, and climate change impacts. Recent projects include a £41,900 Ras al-Khaimah-funded geoheritage study and a £1,563 University of Michigan collaboration on phytolith analysis. He teaches modules on Quaternary Environmental Change and Arid Zone Environments. Professional accolades include Fellowships from the Society of Antiquaries, Royal Geographical Society, Royal Anthropological Institute, and Higher Education Academy. His advisory work includes mentoring two active PhD students: Sophie Edwards (hominoid craniodental morphology) and Kira Raith (Quaternary climate-landscape dynamics). Publications span over 40 peer-reviewed articles in journals like Quaternary Science Reviews , Scientific Reports , and Antiquity , with a focus on integrating geological and archaeological evidence to reconstruct past environments and human adaptations. His research bridges archaeology, geology, and environmental science, emphasizing interdisciplinary approaches to understanding long-term socio-ecological systems.

• Occupational Ergonomics
• Biomechanics
• Human Factors Engineering
• +۳ مورد دیگر

Aanuoluwapo Ojelade is a Distinguished Research Fellow in the Department of Industrial and Systems Engineering at the University at Buffalo, School of Engineering and Applied Sciences. His work bridges occupational ergonomics, biomechanics, and construction safety through advanced technologies. Education: PhD, Industrial and Systems Engineering, Virginia Tech University MEng, Industrial and Systems Engineering, Virginia Tech University BEng, Civil Engineering, Osun State University Research Interests: Focus on exoskeleton technology for construction workers, biomechanical analysis of manual tasks, and motion capture systems for ergonomic evaluation. His studies address physical demand reduction, workplace interventions, and technology adoption barriers. Recent Article Trends: Leverage machine learning (random forest, recurrent neural networks) for ergonomic analysis, compare exoskeleton efficacy across industries (construction, mining), and evaluate demographic impacts on technology readiness. Markerless motion capture and EMG-based force prediction are recurring methodologies. Contact: 317 Bell Hall, University at Buffalo, aojelade@buffalo.edu, (716) 645-4721.

Ammar Mianمشاهده پروفایل

دانشیار

• Statistical Signal Processing
• Machine Learning
• Riemannian Geometry
• +۴ مورد دیگر

Ammar Mian is an Associate Professor at Université Savoie Mont Blanc, affiliated with the LISTIC lab and Polytech Annecy-Chambéry. He holds a PhD from CentraleSupélec (2016-2019) and conducted postdoctoral research at Aalto University (2019-2020). His research focuses on statistical signal processing, machine learning, and Riemannian geometry with applications in remote sensing and frugal computations. He leads the Qanat project, an experiment tracking tool for reproducible research. Research interests include covariance-based methods for SAR image analysis, robust detection algorithms for sonar and GPR systems, and optimization on Riemannian manifolds. His work emphasizes reproducibility in ML and efficient computational techniques for resource-constrained environments. Key contributions include real-time SAR time-series change detection, robust classification using second-order deep learning models, and novel methods for handling missing data in EEG signals. His recent articles (2023-2025) explore reproducibility frameworks, GPR-based object classification, and Riemannian geometry applications. No awards listed, but maintains active collaborations through LISTIC and industry partnerships. Advises students via internship programs (e.g., Federated ML energy cost analysis). Lab work involves developing open-source tools like Qanat for experiment management and reproducibility.

Domenico Cicchellaمشاهده پروفایل

دانشیار

• Geochemistry
• Environmental Monitoring
• Soil Contamination
• +۷ مورد دیگر

Domenico Cicchella is an Associate Professor in the Department of Science and Technology at the University of Sannio, Italy, specializing in Geochemistry and Volcanology (GEO/08). With over two decades of academic experience, he has established himself as a leading researcher in environmental geochemistry, particularly in soil and water contamination studies in the Campania region of southern Italy. His research interests span multiple critical areas of environmental geochemistry: Urban and regional geochemical mapping Heavy metal and potentially toxic element (PTE) analysis in soils Environmental risk assessment methodologies Application of advanced statistical techniques to geochemical data Water pollution monitoring and assessment Integration of compositional data analysis with machine learning approaches Geochemical background determination Analysis of his publication record reveals a strong focus on developing innovative methodologies for environmental assessment, particularly through the "Campania Trasparente" project - a comprehensive multimedia monitoring initiative. His work increasingly incorporates advanced data analysis techniques including compositional data analysis, multivariate statistics, and machine learning applications to address complex environmental challenges in urban and regional settings. His research spans from fundamental geochemical studies to practical applications for environmental management and public health protection. Professor Cicchella maintains an active research profile with numerous collaborations across Italy and internationally, contributing significantly to our understanding of environmental contamination patterns and developing practical approaches for risk assessment and management. His work has appeared in leading journals including Journal of Geochemical Exploration, Applied Geochemistry, and Science of the Total Environment, demonstrating both academic rigor and practical relevance to environmental challenges.

• Sustainable Urban Development
• Urban Ecology
• Landscape Design
• +۵ مورد دیگر

Carlos Smaniotto Costa (PhD) is a Professor at the Department of Architecture and Urban Planning, Universidade Lusófona, Lisbon. As an integrated member of CIAUD Research Centre, he coordinates national and international projects like the H2020 C3Places and COST Action TU1306 Cyberparks. His work bridges Urban Ecology , Landscape Design , and Digital Technologies for sustainable urban development, with a focus on participatory processes in Portugal, Africa, and Latin America. Education : PhD and Magister in Landscape Architecture and Environmental Planning, University of Hanover His research combines Urban Sociology , Public Space , and ICT integration , analyzing how digital tools transform spatial practices. Publications span books and articles on (re)naturalized rivers, underground heritage, and smart landscapes, with case studies in Angola, São Tomé, Brazil, and Europe. Recent articles (2025–2022) emphasize placemaking pedagogy , digital-physical hybrid spaces , and citizen science for territorial planning. He explores co-creation with teenagers, smart city governance, and heritage valorisation through digital storytelling and geomatics data.

Sarbeswar Praharajمشاهده پروفایل

استادیار

• Urban Sustainability
• Climate Resilience
• Geospatial Analysis
• +۵ مورد دیگر

Sarbeswar Praharaj is an Assistant Professor in the Department of Geography and Sustainable Development at the University of Miami's College of Arts and Sciences. He also serves as Director of the MPS in Urban Sustainability and Resilience Program, Associate Dean of Graduate Education at the School of Architecture, and Affiliate Faculty at the Climate Resilience Academy. His work focuses on urban sustainability, climate resilience, geospatial analysis, and smart cities. Praharaj has contributed to global projects including case studies in Morocco and India, emphasizing participatory design and policy integration. His research explores multidimensional poverty measurement, flood susceptibility modeling, pandemic response strategies, and the role of geospatial tools in disaster management. He has published extensively on India's Smart Cities Mission, urban regeneration frameworks, and the socio-spatial impacts of climate change. Notable contributions include developing digital twin platforms for urban projects, co-design toolkits for poverty visualization, and dashboards to combat pandemic-related socioeconomic challenges. Praharaj advocates for inclusive urban policies and community-driven solutions to environmental and health crises.

• Digital Circuits and Systems
• Energy-Efficient Circuits and Systems
• Embedded Systems
• +۷ مورد دیگر

Massimo Poncino is a Full Professor at the Department of Control and Computer Science (DAUIN) within the Faculty of Engineering at Politecnico di Torino. He serves as Scientific Advisor for the STMicroelectronics partnership and coordinates basic engineering subjects. A Senior Member of IEEE since 2012 and Fellow since 2012, he has served on editorial boards for IEEE Transactions on Computer-Aided Design, IEEE Design & Test of Computers, and ACM Transactions on Design Automation. Education: Laurea in Electronic Engineering (1989) and PhD in Computer and Systems Engineering (1993) from Politecnico di Torino Academic Career: Visiting Scientist University of Colorado (1993-1994), Researcher at Politecnico di Torino (1995-2001), Associate Professor at University of Verona (2001-2004), Full Professor at Politecnico di Torino (2006-present) His research focuses on energy-efficient digital systems , including design automation of SoCs, hardware-aware AI, battery management, cyber-physical systems, and embedded systems. Recent publications highlight advancements in digital twins for batteries , low-power neural network deployment , and IoT privacy . Scientific Awards: Recognition of Service Award - ACM (2013) Certificate of Appreciation - IEEE Circuits and Systems Society (2006, 2008, 2009) IEEE Fellow (2012-) Research Involvement: EU H2020, VI/VII Framework Programs evaluator Scientific Director for projects: Approxim@ction, EMBAI, DISLO-MAN, DAMASCO Member of EDA research group Teaching: Course director for Energy Management for IoT (2019-2025) Lecturer for Computer Science courses (2003-2025)

• Human Geography
• Rural Socio-Economic Change
• Rural Social Exclusion
• +۷ مورد دیگر

Lorna Philip is a Professor in the Department of Geography and Environment within the School of Geosciences at the University of Aberdeen, where she holds a Personal Chair and continues to be an active academic leader. She has been a faculty member since 1998, progressing through academic ranks to her current position, and serves as a key supervisor for PhD students in human geography and rural studies. Education: MA (Social Science) with First Class Honours in Geography, University of Glasgow, 1993 PhD in Human Geography, University of Glasgow, 2000 Research Interests: Professor Philip's research focuses on rural socio-economic change, with particular emphasis on rural social exclusion, population ageing in rural communities, digital divides, and the long-term impacts of environmental events such as flooding. Her work often explores how policy can better address the unique challenges faced by rural and island populations. She is currently co-investigator on the BRUCES programme grant, a five-year interdisciplinary study on rural-urban healthcare equity in Scotland. Her research is funded by major bodies including the Chief Scientist Office, ESRC, and RCUK. Publication Trends: Her recent publications (2022–2025) demonstrate a strong focus on rural policy, islandness, civic participation among older adults, and the value of qualitative longitudinal methods. She frequently publishes in leading geographical journals such as Scottish Geographical Journal and The Geographical Journal , and produces policy-oriented reports for government and advisory bodies like SEFARI. Scientific Awards: Winner of the Royal Scottish Geographical Society Newbiggin Prize (2002) Advising and Grants: Professor Philip has supervised 11 PhD students to successful completion and currently supervises four doctoral candidates working on topics including Scotland’s National Islands Plan, community land ownership, and intergenerational communication. She has led and contributed to numerous funded research projects, including those funded by CREW, ESRC, and the RCUK dot.rural hub, focusing on rural digital economy, flooding impacts, and retirement migration. Labs and Research Groups: While not directly affiliated with a specific lab, Professor Philip is closely associated with interdisciplinary research initiatives such as the Just Transition Lab and contributes to the broader research culture of the School of Geosciences. Her work often involves collaboration with clinicians, policymakers, and community stakeholders, particularly in health and rural development contexts.

Donghoon Leeمشاهده پروفایل

استادیار

• Hydroclimatology
• Water Resources Engineering
• Climate Risk Assessment
• +۵ مورد دیگر

Dr. Donghoon Lee is an Assistant Professor and Tier-2 Canada Research Chair in the Department of Civil Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on the intersection of hydroclimatology, data science, and societal impacts, particularly addressing challenges related to climate variability and its effects on water resources, agriculture, and disaster management systems across multiple sectors. Dr. Lee's educational background includes: Ph.D. in Civil and Environmental Engineering from the University of Wisconsin-Madison (2018) M.Sc. in Civil Engineering from Ajou University (2012) B.Sc. in Civil System Engineering from Ajou University (2010) His research expertise spans hydroclimate forecasting, water resources systems, disaster risk assessment, and agricultural drought and food security. Dr. Lee applies geospatial data science, water system engineering, statistical applications, remote sensing, and numerical modeling to quantify interactions between climate, environmental, and societal factors. His work enhances understanding of both short- and long-term climate risks and develops practical solutions for climate-related challenges facing human societies. Recent publications demonstrate a strong focus on agricultural data systems, climate adaptation policy, and food security analytics, with particular attention to Africa and North American regions. His research integrates satellite data, climate modeling, and socioeconomic analysis to develop practical decision-support tools for sustainable resource management under changing climate conditions. Dr. Lee has received significant recognition through his appointment as a Tier-2 Canada Research Chair, which supports his innovative work at the hydroclimate-society interface. Dr. Lee actively mentors graduate students and is currently seeking applicants at all levels (Postdoc, PhD, MS, and Undergraduate students) to join his research group. His Hydroclimate2X Lab provides opportunities for students to engage in cutting-edge research that combines computational methods with real-world climate challenges. The Hydroclimate2X Lab applies computational and statistical methods to quantify the impacts of climate variability on society. The lab's work includes forecasting extreme hydroclimate events, assessing water-energy risks, and integrating climate data with food and environmental systems to support sustainable decision-making across multiple sectors including agriculture, disaster management, and urban planning.