جست‌وجوی استاد و پژوهشگر

• Computer Engineering
• Software Engineering
• Artificial Neural Networks
• +۴ مورد دیگر

Dr. Željko Jovanović is an Assistant Professor at the Department of Computer and Software Engineering , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. He holds a PhD in Electrical Engineering and Computing (2020) from the University of Niš, with a focus on Application of IT in improving the quality of patient transport , and a Diploma Engineer in Computer Science (2008) from the University of Kragujevac. Current roles: Head of Department (2023–present), Coordinator of Undergraduate Studies (2021–present) Teaching areas: Programming basics, Object-oriented programming, Software engineering, Medical informatics (PhD studies) His research focuses on Computer Engineering and Software Engineering , with applications in Medical Informatics , Intelligent Transportation Systems , IoT , and Smart Cities . He has contributed to 15+ publications in journals and conferences, including IEEE Transactions on Intelligent Transportation Systems , Electronics , and Transactions in GIS , emphasizing artificial neural networks , data mining , and comfort assessment in healthcare and transportation contexts. Projects include the national TR32043 initiative on low-power computing systems and the international NeReLa project for remote labs. He has developed technical solutions for thermal comfort monitoring , smart suspension control , and IoT-based systems , and serves on academic committees for software engineering and computer science education.

• Renewable Energy
• Energy Transition
• Solar Photovoltaics
• +۵ مورد دیگر

Juan Carlos Osorio Aravena is a Researcher in the Department of Electronic and Automatic Engineering at the University of Jaén, Spain, affiliated with the Research and Development in Solar Energy group. His work focuses on sustainable energy transitions through decentralized solar photovoltaic systems, with emphasis on rural contexts and socio-technical dimensions across Chile and Southern Europe. Education PhD from University of Jaén (2022) with thesis: "From Global to Local: The Role of Decentralized Solar Photovoltaic Systems in Sustainable Energy Transition - Applied Analysis to Chile and Aysén Region," supervised by Dr. Emilio Muñoz Cerón. Research Focus Dr. Osorio's research integrates engineering and social sciences to address renewable energy adoption challenges. He investigates solar photovoltaic prosumer models, energy community dynamics, and socio-economic impacts of energy transitions. His work uniquely bridges technical analysis of solar potential with studies of social acceptance, policy implementation gaps, and rural electrification challenges, particularly in Chilean Patagonia and Spanish case studies like Monachil and Jaén. Key contributions include frameworks for evaluating renewable energy landscape reversibility and serious games for participatory decision-making. Publication Trends His 2023-2025 publications reveal three dominant trajectories: (1) socio-technical analysis of energy communities and prosumer models in Chile/Southern Europe; (2) methodological innovations including serious games and optimization tools for net-zero planning; and (3) critical examinations of renewable energy project lifecycles from implementation to potential abandonment. The work consistently applies mixed-method approaches across geographical scales, with increasing focus on hydrogen integration and sector coupling in Iberian and South American contexts. Advising and Infrastructure Established renewable energy laboratory in Aysén Region, Chile during doctoral research Current affiliation with University of Jaén's solar energy research group focusing on Iberian Peninsula case studies Develops educational serious games for master's/PhD spatial planning curricula Research Context His work operates at the intersection of energy engineering and social science, addressing urgent challenges in energy justice during transitions. The Chilean case studies reflect deep engagement with Patagonian communities, while Spanish research leverages Monachil's energy community as a living laboratory. Future directions indicate expansion into hydrogen systems and advanced participatory modeling techniques.

Azelle Courtialمشاهده پروفایل

پژوهشگر

• Map generalization
• Deep learning
• Multi-scale maps
• +۳ مورد دیگر

Azelle Courtial is a Researcher at Institut Géographique National (IGN) , specializing in deep learning applications for cartographic generalization within the MEIG research team (Modélisation des Environnements Inhabités et Généralisation). Her work focuses on multi-scale mapping automation and spatial data representations , with recent contributions in GAN-based mountain road generalization and deep learning benchmark development . Education: PhD in Geographic Information Sciences (Université Paris-Est, 2023), Master's in GIS (2019), Licence in Math & Informatics (2017) Projects: ERC Consolidator Grant recipient (2021-2026) Software: Developer of CartAGen4Py and DeepMapGen libraries Her publications demonstrate a research trajectory combining deep learning for map generalization multi-scale cartography principles constraint-based evaluation frameworks spatial relation modeling in GIS Scientific recognition includes: Best short paper award at AGILE Conference 2022 Teaching contributions span spatial databases , webmapping , and GIS programming , with responsibilities in course material development and student project supervision.

Łukasz Chabudzińskiمشاهده پروفایل

استادیار

• Hydrology
• Geographic Information Systems (GIS)
• Climatology
• +۴ مورد دیگر

Dr. Łukasz Chabudziński serves as Assistant Professor at the Department of Hydrology and Climatology within the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University in Lublin. Employed since October 1, 2008, he earned his Doctor of Earth Sciences in Geography on March 30, 2016, following progressive roles from Assistant in the GIS Laboratory (2008-2016) to Assistant Professor positions. His educational background includes postgraduate studies in 'Management of research projects and development works' (2011-2012) and 'Research Project Manager' (2012-2013) at the University of Economics and Innovation in Lublin. Dr. Chabudziński's research focuses on hydrology, GIS applications, and climatology, with particular emphasis on groundwater resource analysis in southeastern Poland's Roztocze region and Lublin Upland. Analysis of his publication record reveals a strong interdisciplinary approach combining hydrology, geomorphology, and computational methods. His recent work increasingly integrates high-performance computing with traditional hydrological analysis, particularly examining spring dynamics, small water bodies, and geological influences on water resources in loess landscapes. Rector's Award (team, third degree) for organizing GIS Challenge (2017) Rector's Award (individual, third degree) for outstanding work for the University (2020) Dr. Chabudziński has supervised 22 diploma theses (21 bachelor's and 1 master's) with notable student successes in competitions like 'GIS Team' and 'GIS Challenge.' He serves as principal investigator for NCN grants and contributes to numerous research projects examining landscape evolution, hydrological processes, and archaeological site relationships in loess regions. He actively shapes geospatial education through leadership roles in academic conferences, competition organization, and curriculum development for geoinformatics programs, bridging theoretical research with practical applications in water resource management and environmental protection.

Lonnie Parkerمشاهده پروفایل

پژوهشگر

• Autonomy
• Collaborative Robotics
• Robotics
• +۵ مورد دیگر

Lonnie Parker is the Collaborative Autonomy Branch Chief in the Robotics and Autonomous Systems Division of the ATAS Laboratory at Georgia Tech Research Institute (GTRI). As a Senior Research Scientist and Principal Investigator for multiple programs, he specializes in designing collaborative behaviors for unmanned systems in maritime and air domains. With over 10 years of experience managing DoD-sponsored projects, his career includes 7 years at NUWC Division Newport conducting maritime autonomy research through ONR-funded initiatives. Education: Ph.D. in Electrical & Computer Engineering, Georgia Institute of Technology (2012) M.S. and B.S. in Electrical Engineering, Rochester Institute of Technology (2006) Research Focus centers on: Collaborative autonomy algorithms for multi-robot systems Adaptive navigation protocols in resource-constrained environments Geo-physical terrain modeling for autonomous surveying Human-multi-robot teaming dynamics Research Trends from his publications show expertise in: Autonomous navigation optimization Distributed sensor networks Multi-agent communication protocols Environmental modeling for robotics Laboratory Affiliation: The Aerospace, Transportation & Advanced Systems Laboratory (ATAS Lab) at GTRI serves as his primary research platform.

Steven M Mansonمشاهده پروفایل

استاد

• Geographic Information Science
• Environmental Research
• Social Science
• +۶ مورد دیگر

Steven M. Manson is a Professor in Geography, Environment and Society at the University of Minnesota, affiliated with the Minnesota Population Center. His work integrates environmental research, social science, and geographic information science (GIScience) to analyze complex human-environment systems, contributing to UN Sustainable Development Goals (SDGs) related to climate action, sustainable cities, and reduced inequalities. Research areas include Geographic Information Science (GIScience) with focus on spatiotemporal data infrastructure Big data applications in population-environment research Agent-based modeling and spatial uncertainty analysis Historical Geographic Information Systems (HGIS) Recent research outputs highlight trends in geospatial technology and methodological innovation. Notable projects include the National Spatiotemporal Population Research Infrastructure (NSF-funded) and International Population and Agricultural Census Data initiatives, enabling environmental health studies through microdata integration. Awards and honors are not explicitly mentioned in the provided texts, though his editorial roles (e.g., Geographic Information Science & Technology Body of Knowledge ) and peer-review activities underscore his disciplinary leadership. As a principal investigator and collaborator on grants from the National Science Foundation and NIH, he advances geospatial discovery environments and data infrastructure. His academic activities include chairing panels on uncertainty analysis and contributing to debates on GIScience futures.

• Naval Architecture
• Marine Engineering
• Ship Hydromechanics
• +۵ مورد دیگر

Emre Peşman is an Associate Professor at Karadeniz Technical University, Sürmene Faculty of Marine Sciences, Department of Naval Architecture and Marine Engineering. He has been serving in this department since 2011, progressing from Research Assistant to his current position as Associate Professor (2023-present). Since 2024, he also serves as the Head of Department. His academic career spans over a decade at this institution with previous positions including Assistant Professor (2012-2023) and Lecturer PhD (2011-2012). His educational background includes a Doctorate from Istanbul Technical University (2005-2011) in Naval Architecture and Marine Engineering, a Postgraduate degree from Karadeniz Technical University in Mechanical Engineering (2001-2005), and an Undergraduate degree from Karadeniz Technical University in Naval Architecture Engineering (1997-2001). Dr. Peşman's research focuses on naval architecture and marine engineering with particular expertise in ship hydromechanics, ship stability, roll motion analysis, and offshore structures. His work bridges theoretical analysis with practical applications in ship design and marine renewable energy systems. He has made significant contributions to understanding ship motion in waves, bilge keel design for roll damping, and wind propulsion systems like Flettner rotors. His research also extends to computational fluid dynamics applications in marine environments and wave energy conversion technologies. His publication record shows a consistent output of high-quality research, with recent work focusing on advanced topics such as parametric roll motion analysis, offshore wind turbine installation, and innovative control systems for ship stability. The research demonstrates strong methodological diversity, combining experimental, numerical, and analytical approaches across multiple marine engineering sub-disciplines. Dr. Peşman actively supervises graduate students, with seven theses completed under his guidance. He has served on numerous thesis committees for both master's and doctoral candidates at multiple institutions. His funded research portfolio includes multiple projects from TUBITAK and other funding bodies, with recent work focusing on ship stability control systems, marine renewable energy, and marine environmental protection. He also holds two patents related to ship stability control systems, demonstrating the practical application of his research.

Irène Abi-Zeidمشاهده پروفایل

استاد

• Multi-criteria decision support
• Decision support systems
• Optimization and machine learning
• +۳ مورد دیگر

Dr. Irène Abi-Zeid is a Full Professor at the Department of Operations and Decision Systems within the Faculty of Administrative Sciences at Université Laval , Canada. With a joint doctorate in water sciences and a master's in mathematics, her work bridges multi-criteria decision support (MCDA), optimization , and machine learning to address complex socio-ecological challenges. Research Interests : Multi-criteria decision support systems, socio-ecological modeling, participatory decision-making, and optimization techniques for search and rescue operations. Awards : 2019 Best paper award, Artificial Intelligence and Decision Support Systems track 2019 Best Ph.D. project award (KMIS Conference) 2017 Runner-up: GDN Springer Young Researcher Award Teaching : Probability and statistics for business, ANOVA, stochastic processes, and research methodology. Publications : Over 40 peer-reviewed articles focusing on MCDA applications in water management, urban planning, and emergency response. Her pioneering SARPlan decision support system for search and rescue operations has been adopted by Canadian agencies, while her MCDA-ULaval software advances multi-criteria analysis in environmental and transportation domains.

Martin Behnischمشاهده پروفایل

استاد

• Spatial Data Science
• Urban Data Mining
• Geospatial Analysis
• +۷ مورد دیگر

Professor Martin Behnisch holds the Professorship for Spatial Information and Modelling at Dresden University of Technology (TUD) since 2023 and leads the same research area at the Leibniz-Institute of Ecological and Regional Development since 2011. He has held academic roles including Lecturer at Technische Universität Dortmund (2007–2011) and Senior Lecturer at Tianjin University (2005–2007). Diploma: Architecture (KIT, 1995–1998) MSc in Geographical Information Science and Systems (summa cum laude, Paris Lodron University Salzburg, 2004–2007) PhD (summa cum laude, Karlsruhe Institute of Technology, 1998–2004) His research interests span Spatial Data Science , Urban Sprawl , Building Stock Dynamics , and GIScience for Sustainable Urban Development , with a focus on data-driven approaches to monitor land consumption, soil sealing, and urban metrics. He has led major projects funded by DFG , SNF , BMBF , and BMWI , including analyses of urban solar potential , non-residential building databases , and insect biodiversity in protected areas . Recent publications (2024–2025) address residential infill determinants , urban sprawl drivers , and hybrid energy modeling , emphasizing spatiotemporal analysis. Earlier works (2018–2023) explored cluster analysis for land use patterns, 3D urban modeling , and crowdsourcing façade data . Key Collaborations : Associate Professor Dr. Jochen A.G. Jaeger (Concordia University), Prof. Dr. Markus Neppl (KIT), Prof. Niklaus Kohler (ETH Zurich) Grants : DFG (land use change), SNF (building stock conservation), BMWi (solar potential), BBSR (non-residential data), UBA (settlement trends) Editorial Roles : Guest Editor for ISPRS International Journal of Geo-Information and Environment and Planning B

Fran Meissnerمشاهده پروفایل

استادیار

• Geo AI
• Critical Data Studies
• Urban Technology
• +۷ مورد دیگر

Dr. Fran Meissner is an Assistant Professor at Leiden University's Department of Urban and Regional Planning and Geo-Information Management, actively contributing to the Digital Society Institute. Her work bridges urban studies, migration research, and critical data science.

• Emergency cartography
• Geographic data
• Digital photogrammetry
• +۷ مورد دیگر

Dr. Fabio Giulio Tonolo is an Associate Professor at the Politecnico di Torino , Department of Architecture and Design (DAD), specializing in geomatics and remote sensing for urban and environmental applications. His work bridges emergency cartography , UAV photogrammetry , and climate change monitoring through advanced geospatial techniques. Academic Roles : Teaching Satellite Remote Sensing and GIS and Advanced Geospatial Data Management at various cycles of the PhD in Urban and Regional Development Research Leadership : Scientific Director for projects like MOHYCAM (hydrogeological hazards) and EMERITUS (environmental crimes), with collaborations on glacier monitoring and cultural heritage preservation Scientific Affiliations : Secretary of AIT - Italian Remote Sensing Association (2019-2026), former President of IWG-SEM, and active member of ISPRS working groups Key Research Themes : Multi-source geospatial data integration, 3D modeling for heritage conservation, satellite-based climate impact analysis, and emergency mapping protocols His 15 most recent publications focus on remote sensing , glacier monitoring , and cultural heritage digitization , with methodologies spanning from UAV LiDAR to AI-based image segmentation . Dr. Tonolo has received ASITA Federation Best Poster Awards and contributes to editorial boards like ISPRS International Journal . He supervises PhD students in Urban and Regional Development, leads commercial projects such as 3D metric surveys in Assisi, and participates in international conferences including GISTAM and Gi4DM. His work aligns with SDG 11 (Sustainable Cities) and ERC PE10_14 (Earth Observations).

Matthew Gibson-Lopezمشاهده پروفایل

دانشیار

• Algorithms
• Computational Geometry
• Medical Image Segmentation
• +۵ مورد دیگر

Matthew Gibson-Lopez is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA). He is affiliated with the San Antonio Geometry Algorithms (SAGA) research lab, focusing on algorithms for image segmentation, digital geometry, visibility, and cloud computing. His academic background includes a Ph.D. in Computer Science from the University of Iowa (2010), where he also completed his M.S. and B.A., followed by a postdoc in Electrical and Computer Engineering at the University of Iowa. Research Interests: Algorithm design and analysis Computational geometry (polygon decomposition, visibility problems) Medical image segmentation Cloud computing (scheduling, workload characterization) Advising & Labs: SAGA Lab oversees three Ph.D. students (Mohammad Shahedul Islam, Serge Zamarripa) and one Master’s student (Safwa Ameer) Prior advisees include Mahmuda Ahmed (co-advised), Iffat Chowdhury, and Qing Wang Labs/Teams: The SAGA Lab develops practical algorithms for image processing, geometric optimization, and cloud resource management, emphasizing both theoretical foundations and real-world applications.

• Mobile Sensing
• Pervasive Computing
• TinyML
• +۱۱ مورد دیگر

Eiman Kanjo is a Professor of Pervasive Computing and Head of the Smart Sensing Lab at Nottingham Trent University (NTU), and a Provost’s Visiting Professor in Pervasive Sensing and tinyML at Imperial College London (2023–2024). She leads initiatives such as Smart Nottingham and Smart Campus , focusing on impactful mobile sensing solutions. Her research integrates AI, IoT, and TinyML for applications in environmental monitoring, wearable devices, and well-being. Awards & Recognition: Recognized as one of the Top 50 Women in Engineering (2023), recipient of the Turing Network Development Awards 2022 , and head of NTU’s Outstanding Researcher Team (2020/2021). She also serves on the Royal Society’s Newton International Fellowships Committee . Grants & Collaborations: Secured over £10M in grants from funders like DCMS (e.g., 5G Connected Forest ), InnovateUK, and EPSRC. Collaborates with industry, charities, and local authorities on projects such as TagWithMe (well-being social prescribing) and air quality monitoring in Nottingham. Labs & Networks: Leads NTU’s Turing University Network , the Green+ network (EPSRC-funded), and chairs the tinyML EMEA steering committee . Her work is published in journals like the Data Centric Engineering Journal .

• Epidemiology
• Air Pollution Health Effects
• Environmental Health
• +۴ مورد دیگر

Oluwaseyi Arowosegbe is a Researcher in Epidemiology at the School of Public Health, Faculty of Medicine, Imperial College London. Their work focuses on environmental health impacts, particularly air pollution's effects on cardiovascular and respiratory health in South African and global contexts. They specialize in spatiotemporal modeling, remote sensing data integration, and public health policy development. Affiliated with Epidemiology and Biostatistics department, they collaborate on global burden of disease studies and air quality index development. Research interests include: Quantifying air pollution's health risks Spatiotemporal analysis of environmental exposures Machine learning applications in public health Public health policy formulation using epidemiological data Global burden of disease methodology Recent publications analyze PM10/NO2/SO2 impacts on mortality and hospital admissions in Cape Town, develop air quality indices, and model pollution patterns using remote sensing. Their work emphasizes methodological innovations for data-scarce regions. No scientific awards explicitly mentioned. Advising and grants: No formal advisees listed. Currently affiliated with Imperial College's air quality and epidemiology research teams. Collaborates with National Health Laboratory Service in South Africa. Labs/Teams: Participates in Imperial College's Environmental Health Research Group and Global Public Health Initiatives.

Akbar K. Waljeeمشاهده پروفایل

استاد

• Artificial Intelligence in Healthcare
• Precision Medicine
• Machine Learning
• +۳ مورد دیگر

Akbar K. Waljee is a Professor at the University of Michigan Medical School, with appointments in Internal Medicine and Learning Health Sciences. His research focuses on leveraging artificial intelligence and machine learning to advance precision medicine in gastrointestinal and liver diseases, particularly in low-resource settings. He serves as Assistant Dean for Global Health Research and is affiliated with multiple centers including the Institute for Healthcare Policy and Innovation. Degrees : MSc (University of Michigan), MD (Emory University), BS (Emory University) Dr. Waljee develops AI-driven decision support systems to optimize medication use and improve healthcare equity. His work addresses social determinants of health through predictive modeling, with applications in inflammatory bowel disease, colorectal cancer diagnosis, and vaccine hesitancy mitigation in sub-Saharan Africa. His recent publications demonstrate trends in urgent care prescribing optimization, AI applications for infection prevention, and machine learning models for maternal/child health in LMICs. Grant funding spans VA, NIH, and Gates Foundation projects focused on veterans' care and African health systems infrastructure development.