جست‌وجوی استاد و پژوهشگر

Petra Sauerمشاهده پروفایل

استاد

• Database Systems
• Geodatabases
• Semantic Web Technologies
• +۵ مورد دیگر

Prof. Petra Sauer is a Professor of Computer Science and currently serves as Dean of the Department of Computer Science and Media at BHT Berlin. She leads research in database systems, geospatial technologies, and educational data analytics. Her work bridges academic research with practical applications in facility management, urban logistics, and e-learning platforms. Key projects include DiSEA (education analytics), ExCELL (mobility data integration), and BIM-FM (building lifecycle management). Research interests focus on: Database design & schema evolution Semantic web applications Geodatabase implementations Learning analytics in MOODLE environments Notable awards include the Tiburtius Prize (Gold 2008 for Marc-Florian Wendland's thesis, Bronze 2009 for Marco Blankenburg's thesis). Active supervision spans over 15 advisees across data science, database security, and semantic integration topics. Current courses include 'Database Systems' for Media Informatics students. Key projects: DiSEA: Moodle-based learning analytics framework ExCELL: Real-time traffic forecasting platform mVIZ: Open data visualization guidelines BIM-FM: Semantic integration of building models

Anika Großمشاهده پروفایل

استاد

• Database Systems
• Knowledge Graphs
• Ontologies
• +۷ مورد دیگر

Prof. Anika Groß is a Professor for Database Systems and Programming at the Department of Computer Science and Languages at Anhalt University of Applied Sciences in Köthen, Germany. She holds a PhD from the University of Leipzig (2014) and has held roles as a PostDoc in strategic research at Daimler AG and as a research assistant at the Interdisciplinary Centre for Bioinformatics (IZBI). She is actively involved in academic governance, serving on the faculty council, board of examiners, and various sustainability and research data management committees. Her research focuses on database systems, knowledge graphs, and ontology engineering, with applications in environmental science, medicine, and material sciences. Education - PhD (Dr. rer. nat.) in Computer Science, University of Leipzig (2014) - Diploma in Bioinformatics, MLU Halle-Wittenberg (2007) - Postdoctoral research at University of Leipzig's Database Group (2008–2013) Research Interests Her work emphasizes temporal graphs, ontology evolution, and semantic data integration. She develops tools like Region Evolution eXplorer (REX) and contributes to projects such as AgriRestore (ecosystem restoration) and MeineWaldKI (AI-based forest monitoring). Her recent focus includes wearable device applications in healthcare and digital twins for lithium value chains. Recent Research Trends Recent publications highlight interdisciplinary applications of knowledge graphs in agriculture and environmental science, leveraging temporal analysis and machine learning for tasks like chemical transformation prediction and bladder monitoring. She also explores cross-lingual semantic annotations in medical forms and holistic clustering of linked data. Professional Roles - Executive Committee Member, GI Database Systems Group - Fellow, Institute for Technologies and Economics of Lithium (ITEL) - Co-Chair of multiple workshops including FGDB-Workshop @ LWDA 2018 and BigDS@BTW 2017 Labs & Collaborations She leads research teams in projects funded by DFG, European Union (EFRE), and ITEL, collaborating with organizations like Daimler AG and ANU. Her lab focuses on advancing database systems and interdisciplinary data science applications.

Wolfgang Zachariasمشاهده پروفایل

استاد

• Geodesy
• Satellite Geodesy
• Earth System Monitoring
• +۳ مورد دیگر

Professor Wolfgang Zacharias is the Chair of Geodesy at the Technical University of Munich (TUM), leading the Geodetic Institute. His research focuses on satellite geodesy, Earth system monitoring, and climate change studies. He holds a PhD in Geodesy from TUM and has over 20 years of experience in geodetic data analysis and remote sensing applications. Education: PhD in Geodesy, Technical University of Munich, 2003 Diploma in Geomatics Engineering, Dresden University of Technology, 1998 Research Interests: Professor Zacharias specializes in integrating satellite altimetry, GPS, and radar interferometry for monitoring Earth's dynamic processes. His work addresses climate change impacts on sea levels, crustal deformation, and coastal erosion. He collaborates with international space agencies and contributes to global geodetic reference frameworks. Publications Trends: Recent articles emphasize multi-sensor data fusion, crustal deformation modeling, and climate-related geodetic applications. Key themes include satellite laser ranging, terrestrial laser scanning, and Earth rotation parameter estimation. Awards: 2023: Bavarian Order of Merit 2021: TUM Teaching Award Grants & Labs: He leads the Geodetic Institute at TUM, overseeing projects funded by the German Research Foundation (DFG) and the European Space Agency (ESA). Active in graduate education, he advises students in geodetic engineering and Earth observation technologies.

Xuebin Weiمشاهده پروفایل

دانشیار

• Geographic Information Systems (GIS)
• Social Media Analysis
• Machine Learning
• +۴ مورد دیگر

Xuebin Wei is an Associate Professor of Geography at the College of Integrated Science & Engineering (CISE) at James Madison University (JMU). He holds a Ph.D. in Geography from the University of Georgia, complemented by advanced degrees in GIS and Urban Planning from Wuhan University and ITC at the University of Twente. Dr. Wei specializes in integrating geospatial technologies with social media analysis, machine learning, and cloud computing to address urban and environmental challenges. His research focuses on spatial-social networks, 3D urban modeling using LiDAR and aerial imagery, and applying social media data for disaster response and public health. Notable projects include the JMU Virtual 3D Campus and LBSocial initiative exploring geosocial data frameworks. Wei teaches courses in GIS, cloud computing (AWS), programming for data science, and machine learning. His publications span topics like election prediction using Twitter data, spatial analysis of climate phenomena (El Niño), and optimizing urban transit infrastructure. While no specific awards are listed, his work reflects interdisciplinary innovation at the intersection of geography, technology, and society. He advises students in CISE's data science and geospatial programs through courses like IA340 Data Mining and GEOG215 Cartography.

• Vector Biology
• Malaria Control
• Infectious Disease Ecology
• +۵ مورد دیگر

Professor Fredros Okumu is a leading researcher in vector biology and infectious disease ecology at the University of Glasgow's School of Biodiversity, One Health & Veterinary Medicine. He holds a PhD in Infectious Diseases from the London School of Hygiene and Tropical Medicine and an MBA in International Health Management from the University of Basel. His work focuses on malaria vector control, insecticide resistance, and ecological management of vector-borne diseases. Okumu leads research programs at the Ifakara Health Institute in Tanzania, collaborating internationally to advance surveillance and intervention strategies. Education: Public Health (Moi University), Applied Parasitology (University of Nairobi), Geo-Information Sciences (Lund University), PhD (London School of Hygiene & Tropical Medicine), MBA (University of Basel) Research: Mosquito biology, malaria transmission dynamics, genomics of Anopheles species, insecticide resistance mechanisms, and innovative control tools like mid-infrared spectroscopy and spatial repellents Awards: Howard Hughes Medical Institute–Gates Award, Wellcome Trust Fellowship, and WHO advisory roles His recent work includes genomic studies of Anopheles funestus resistance patterns, AI-driven mosquito age grading, and spatial modeling of vector habitats. Okumu's research bridges basic science with public health applications, emphasizing African-led R&D ecosystems.

• Pervasive Sensing
• Tiny Machine Learning (TinyML)
• Edge AI
• +۷ مورد دیگر

Prof. Eiman Kanjo is a Professor of Pervasive Sensing & TinyML and Head of the Smart Sensing Lab at Nottingham Trent University. She leads the Smart Nottingham and Smart Campus initiatives, focusing on impactful applications of mobile sensing, wearable tech, and edge AI. Her work bridges academia, industry, and community, emphasizing privacy-preserving AI for mental health, environmental monitoring, and social prescribing. Education: PhD in Computer Science (2005), University of Abertay Dundee. Formerly a Research Associate at the University of Cambridge and researcher at the University of Nottingham’s Mixed Reality Lab. Collaborates with organizations like the tinyML Foundation, Health Data Research UK (HDRUK), and the Alan Turing Institute. Research Interests : Pervasive computing, TinyML, Edge AI, wearable devices, environmental sensing, mental health technologies, and community-driven solutions for urban wellbeing. She pioneered early mobile sensing systems like NoiseSPY (2010) and MobSens (2009). Key Projects : 5G Connected Forest (£10m DCMS grant) : Smart environmental monitoring in Sherwood Forest. TagWithMe : AI-driven proximity-based games for community wellbeing. EPSRC Green+ Network : Tech for healthier environments. Awards & Recognition : Top 50 Women in Engineering (2023). Outstanding Educator of the Year Award (EDGE AI Foundation, 2023). 2021 Vice-Chancellor’s Outstanding Research Team Award (Smart Sensing Lab). Grants & Collaborations : Over £10m in funding from EPSRC, InnovateUK, MOD, and DEFRA. Partners include Nottingham City Council, tinyML Foundation, Health Data Research UK, and industry stakeholders. Labs & Initiatives : Leads the Smart Sensing Lab , developing technologies for Green Social Prescribing at Rufford Country Park and Highbury Mental Health Hospital.

• Agricultural Climate Change Adaptation
• Farming Systems Resilience
• Climate Modeling
• +۳ مورد دیگر

Julian Ramirez-Villegas is a Special Professor on Agricultural Climate Change Impacts and Adaptation at Wageningen University's Plant Production Systems group and a Principal Scientist/Leader of Data Science for Climate Action at CGIAR (Rome). He holds a PhD from the University of Leeds (UK). His research focuses on climate adaptation in farming systems, particularly in low/middle-income countries, with over 60 peer-reviewed publications in journals like PNAS and Nature. Recognized by the United Nations for climate adaptation work, he leads a team of researchers specializing in agricultural modeling, climate services, and socio-economic analysis. At Wageningen, his key research questions address adaptation effectiveness, interplay between adaptation forms (coping/systems change/transformation), and trade-offs between adaptation/mitigation in tropical systems. His work bridges academic research with global policy, emphasizing data-driven solutions for climate-resilient agriculture. Publications highlight innovative approaches in climate data modeling (e.g., CMIP5 projections, EcoCrop model applications), biodiversity conservation strategies, and policy frameworks for climate-smart agriculture. He collaborates widely with CGIAR centers and international organizations to translate research into actionable climate adaptation strategies.

• Health Economics
• Spatial Economy
• Microeconomics under Uncertainty
• +۵ مورد دیگر

Felipa de Mello-Sampayo is an Assistant Professor in the Department of Economics at ISCTE - University Institute of Lisbon and an integrated researcher at BRU-Iscte (Business Research Unit). She specializes in health economics, spatial analysis, and microeconomic modeling with applications across various social science domains. Her research bridges theoretical economic frameworks with empirical applications to address real-world healthcare and policy challenges. Dr. de Mello-Sampayo earned her Aggregation in Economics from the University of Lisbon's Higher Institute of Economics and Management in 2024, following a PhD in Economy from the University of Birmingham (2001), a Master's degree in International Economy from the same institution (1998), and a Bachelor's degree in Management from the Higher Institute of Economics and Management - UTL (1994). Her doctoral thesis was published in The British Library. Her research focuses on microeconomic models and their empirical applications, particularly in health economics and spatial analysis. She has made significant contributions to understanding healthcare accessibility through spatial interaction models, cost-effectiveness of medical interventions, and the economic implications of healthcare delivery systems. Her work often examines decision-making under uncertainty, applying real options theory to healthcare contexts. She has coordinated research projects including 'Health and Economic Growth' (PTDC/EGE-ECO/104157/2008) funded by the Foundation for Science and Technology (FCT), and has co-edited special issues for journals including Sustainability and the International Journal of Environmental Research and Public Health. Analysis of her 15 most recent publications reveals a consistent focus on spatial econometrics applied to healthcare accessibility, cost-effectiveness analysis of medical interventions, and economic modeling of healthcare decision-making. Her work spans diverse geographic contexts including Portugal, the United States (particularly Texas), BRICS countries, and China. A distinctive feature of her research is the application of spatial interaction models to healthcare accessibility questions and the use of real options theory to analyze timing decisions in medical contexts. Dr. de Mello-Sampayo is affiliated with the Data Analytics Group at ISCTE and contributes to the BRU-Iscte research unit. Her work demonstrates strong interdisciplinary connections between economics, public health, spatial analysis, and healthcare management, with publications appearing in high-quality journals across these fields.

Babatunde Anifowoseمشاهده پروفایل

استادیار

• Environmental Impact Assessment
• Oil Spill Modeling
• Water Pollution Management
• +۶ مورد دیگر

Dr Babatunde Anifowose is an Assistant Professor at the CEES School of The Environment. He holds a PhD in Environmental Science from the University of Birmingham (2011) and advanced qualifications in Geography and Data Processing. His expertise spans Environmental Impact Assessment (EIA), oil spill modeling, water pollution management, and the application of AI/ML in environmental decision-making. Education PhD in Environmental Science, University of Birmingham (2011) MSc in Geography (Transport & Remote Sensing), University of Lagos (2007) BSc in Environmental Science, University of Lagos (2005) Diploma in Data Processing (Computer Science), University of Lagos (1997) Research Interests Anifowose focuses on sustainable natural resource exploitation, decarbonization, and EIA innovations using AI/ML. His work addresses oil spill dynamics in fluvial-marine transition zones, EIA quality assessment, and socio-environmental equity in development projects. He also explores climate change mitigation strategies in energy systems. Awards & Recognition 2020 Sustainability and Stewardship Award (Oil & Gas Industry) EPSRC Peer Review College Member (2020–present) SPE Sustainable Development Technical Section Chair (2017–present) Advisory Roles & Grants Anifowose advises on water pollution and energy infrastructure projects. His grants include funding from the Nigerian Government (PTDF) and collaborations with JICA and the AfDB. He has supervised over 4 PhD students and actively engages in peer review for Elsevier journals. Labs & Collaborations He contributes to the Data Science and Engineering Analytics Technical Section and collaborates with institutions like the British Hydrological Society and the Transportation Research Board’s Hazardous Materials Committee.

• Remote Sensing
• Land Cover Classification
• Deep Learning
• +۴ مورد دیگر

Huiran Jin is an Associate Professor in the School of Applied Engineering and Technology at New Jersey Institute of Technology (NJIT). Her research focuses on remote sensing, land cover classification, and environmental modeling, with a strong emphasis on integrating multi-sensor data and machine learning techniques. She has secured federal grants from NSF and USGS for projects addressing riparian ecosystem dynamics and harmful algal blooms. Her work spans applications from solar image generation using GANs to geospatial education frameworks promoting diversity and inclusion in STEM. Her research interests include environmental monitoring using remote sensing technologies such as VIIRS, Landsat, and LiDAR, as well as cognitive strategies in engineering education. Notable contributions include fusion of optical/radar/LiDAR data for land cover mapping and assessing spatiotemporal variations of environmental parameters like PM2.5 and PM10 in China. Her articles reflect interdisciplinary trends in geospatial science, combining environmental data analysis with educational innovations. Recent projects highlight deep learning applications for flood monitoring and subpixel urban mapping. Jin has collaborated internationally on ecosystem dynamics and hydroclimate variability studies. Her work has been supported by grants totaling over $1M, including a 7-year NSF project (2018-2025) and a 2023 USGS-funded study on harmful algal blooms in NJ lakes. She has published extensively in journals like ISPRS Journal of Photogrammetry and Remote Sensing, with over 500 citations and an h-index of 11.

Robello Samuelمشاهده پروفایل

استاد مدعو

• Drilling Engineering
• Well Engineering
• Petroleum Engineering
• +۵ مورد دیگر

Dr. Robello Samuel is an Adjunct Professor in the Department of Petroleum Engineering at the University of Houston's Cullen College of Engineering, concurrently holding this position for over 12 years while serving as a Technology Fellow at Halliburton. With 43 years of multi-disciplinary experience in oil/gas drilling operations, he specializes in drilling engineering innovations and well design. Education: Ph.D. in Petroleum Engineering, University of Tulsa M.S. in Petroleum Engineering, University of Tulsa M.S. in Mechanical Engineering, College of Engineering Guindy (Madras) B.S. in Mechanical Engineering, University of Madurai Research Focus: Dr. Samuel's work spans drilling optimization, wellbore mechanics, torque-drag modeling, vibration analysis, geothermal well design, and AI applications in drilling engineering. His research integrates field experience with computational methods to solve complex drilling challenges. Publications: His extensive publication record (150+ papers/books) focuses on drilling mechanics, well design innovations, and predictive modeling. Recent works emphasize machine learning applications, real-time drilling optimization, and sustainable energy solutions like geothermal well engineering. Awards & Honors: SPE International Drilling Engineering Award SPE Distinguished Lecturer (2014) SPE Honorary Member Award AIME Honorary Member Award Gulf Coast SPE Drilling Engineering Award (2013) SPE Distinguished Member Professional Leadership: Serves on editorial boards for SPE Research Partnership to Secure Energy for America (RPSEA), Ocean Energy Safety Institute, and SPE Research & Development Advisory Board. Regularly delivers keynote addresses at major energy conferences worldwide.

Matthias Fuchsمشاهده پروفایل

استاد

• Sustainable Tourism
• Big Data Analytics
• Circular Economy
• +۴ مورد دیگر

Matthias Fuchs is a tenured full professor at the Faculty of Economics and Management, Free University of Bozen-Bolzano. His research focuses on sustainable tourism, big data analytics, circular economy frameworks, and strategic management in tourism destinations. He teaches courses such as M-1 Strategic Management and is actively involved in curriculum development for e-tourism and business intelligence. His work integrates quantitative methods like clustering algorithms (e.g., k-Means, DBSCAN) with qualitative analyses to address tourism challenges. Key research areas include real-time tourism monitoring via Google Maps data, socio-economic impact assessments of tourism, and post-Cartesian ontologies challenging conventional economic paradigms. He explores creativity's role in fostering innovative regions through network science and Buddhist philosophy-influenced frameworks. Publications span topics from cultural tourism sustainability in Sweden to the application of convolutional neural networks for Instagram analysis. Despite no explicit awards listed, his contributions to e-tourism curricula and big data methodologies reflect significant scholarly influence. Fuchs advocates for transformative science to align tourism with UN Sustainable Development Goals, emphasizing ethical leadership and justice-oriented socio-economic policies. Teaching responsibilities include guiding students in tourism management, strategic leadership, and destination marketing. His interdisciplinary approach bridges business intelligence, environmental science, and philosophy to address contemporary tourism challenges.

Shenyue Jiaمشاهده پروفایل

استادیار

• Climate Change
• Geospatial Analysis
• Remote Sensing
• +۳ مورد دیگر

Dr. Shenyue Jia is an Assistant Professor of Geography and Director of the Geospatial Analysis Center at Miami University, Ohio. Her research focuses on leveraging satellite and crowdsourced data to analyze climate change impacts in semi-arid ecosystems and human adaptation strategies. She also innovates GIS education to democratize geospatial analysis tools beyond traditional software. Education: Ph.D. in Geography (UCLA), M.S. in Cartography (Nanjing University), B.S. in GIS (Nanjing Normal University) Her research interests include: Wildfire risk assessment using SMAP soil moisture and vegetation indices GIS applications in disaster response (e.g., power outage analysis during wildfires) Social media data utilization for crisis management GIS curriculum development emphasizing R/Python tools Recent projects include NASA DEVELOP's Kentucky tornado power outage analysis and collaborative work with CrisisReady on real-time geolocation data platforms. She has presented at AGU Annual Meetings and received grants from CADS and Miami University's CTE. Key Collaborations: CrisisReady, Thriving Earth Exchange, Google Geo for Good Teaching initiatives include a Climate Science Communication course and 3D urban modeling projects funded by the Humanities Center. She advises Slade Laszewski, whose 2024 ERC publication on WUI population trends earned recognition.

Srimanti Duttaguptaمشاهده پروفایل

استادیار مدعو

• Contaminant Hydrogeology
• Environmental Geosciences
• Organic Contaminants
• +۶ مورد دیگر

Srimanti Duttagupta is an Adjunct Assistant Professor at the School of Public Health, San Diego State University (SDSU), and an Assistant Research Scientist at the University of Georgia (UGA). Her research focuses on contaminant hydrogeology, environmental geosciences, and the impact of organic contaminants on ecosystems and public health. She holds a Ph.D. in Contaminant Hydrogeology from IIT Kharagpur (2019), an M.Tech in Environmental Biotechnology from Jadavpur University (2014), and a B.Tech in Biotechnology from West Bengal University of Technology (2012). Education: Ph.D., Contaminant Hydrogeology – IIT Kharagpur (2019) M.Tech, Environmental Biotechnology – Jadavpur University (2014) B.Tech, Biotechnology – West Bengal University of Technology (2012) Research Interests: Dr. Duttagupta investigates the fate, transport, and persistence of organic contaminants such as pesticides, PFAS, and tobacco/cannabis-associated compounds. Her work emphasizes their interactions with soils, sediments, and groundwater systems, with a focus on environmental and public health implications. She also explores the effects of climate change on water quality and the application of advanced analytical techniques like non-targeted screening for contaminant detection. Grants & Projects: She secured an NSF-RAPID grant to study Hurricane Helene’s impact on the Oconee River watershed’s biogeochemical dynamics. Her research often integrates machine learning for groundwater pollution mapping and community-driven strategies to improve drinking water security in arsenic-affected regions. Labs & Collaborations: Associated with SDSU’s School of Public Health projects analyzing tobacco and cannabis debris pollution in coastal reserves. Collaborates with UGA on contaminant transport modeling and microbial pollution assessments.

Ming-Chun Leeمشاهده پروفایل

دانشیار

• Geographic Information Science (GIS)
• Urban Design
• Geospatial Technologies
• +۳ مورد دیگر

Ming-Chun Lee is an Associate Professor of Architecture and Graduate Program Director at the University of North Carolina at Charlotte (UNCC), leading the Master in Urban Design and CBL programs. He holds a B.S. and M.S. from National Cheng Kung University (Taiwan), and an M.Arch. and Ph.D. from the University of Washington. His research focuses on integrating geospatial technologies—including 3D GIS, remote sensing, cloud-based GIS, and augmented/virtual reality (AR/VR)—into urban design education and practice. He develops immersive platforms for public engagement in urban planning, such as the Knight Foundation-funded "Transforming City of Charlotte with Immersive Visual Data" project, which uses 3D visualizations to support community-driven decision-making. Lee’s work also explores AR’s potential for civic storytelling, exemplified by his Knight Foundation-Niantic Labs AR Fellowship, which integrated Pokémon GO into public events to enhance community participation. Lee has secured significant grants, including two Knight Foundation awards for XR research in urban planning and health initiatives. Collaborations include projects with the Levine Museum of the New South, Charlotte-Mecklenburg Library, and OpenStreets704. His recent studies address extended reality applications in art therapy for opioid use disorder recovery and comparative AR implementations in historic cities. Scientific awards include his selection as a Knight Foundation-Niantic Labs AR Fellow. His work bridges technology, design, and community engagement to advance equitable urban futures. Lee’s advising and grants highlight interdisciplinary efforts, such as a 2023 project on XR-based therapy with Dr. Vishnu Prabhu and a 2024 study comparing AR tools for community storytelling. His lab focuses on immersive visualization and participatory urban design, fostering tools that democratize access to spatial data and urban planning processes.