جست‌وجوی استاد و پژوهشگر

• Remote Sensing
• Sensors
• Soil Carbon Sequestration
• +۷ مورد دیگر

Dr. Titia Mulder is an Associate Professor in Digital Soil Science at the Soil Geography and Landscape group, Wageningen University, The Netherlands. She specializes in spatial and temporal modeling of soil-landscape systems and soil sensing techniques for monitoring soil functions. Her work focuses on large-extent soil dynamics, ecosystem health, and sustainable land use practices. She chairs the IUSS Pedometrics Commission (2018–2022) and serves as an associate editor for European Journal of Soil Science and Frontiers in Soil Science . Her research integrates remote sensing, spatial statistics, and spectroscopy to address environmental challenges like climate change and biodiversity loss. She leads European and national projects on soil mapping and soil health monitoring. Key areas of expertise include soil-landscape relationships, sensor-based soil monitoring, and machine learning applications in environmental data analysis. Mulder teaches courses on spatial analysis for earth sciences ( GRS33306 ), environmental data collection ( YWU30806 ), and soil inventory techniques ( SGL30306 ). She supervises MSc internships and thesis projects in soil geography and landscape studies through modules like SGL70224 , SGL79224 , and SGL80436 . Her work emphasizes societal impact through sustainable practices, providing actionable insights for policy makers and stakeholders to combat environmental crises and ensure food security. She collaborates internationally on projects promoting soil carbon sequestration and ecosystem resilience.

Jane Katharine Hillمشاهده پروفایل

استاد

• Climate Change Ecology
• Biodiversity Conservation
• Tropical Rainforest Ecology
• +۵ مورد دیگر

Jane Katharine Hill is a Professor in the Department of Biology at the University of York , serving as Associate Dean in the Faculty of Sciences and Research Champion for Environmental Sustainability and Resilience. Her work focuses on climate change impacts on biodiversity, habitat connectivity, and sustainable tropical landscape management. Education: Not explicitly stated in the provided text Research Interests: Dr. Hill's lab investigates how biodiversity responds to habitat degradation and climate warming, particularly among insects in tropical and temperate ecosystems. Key areas include: Climate-driven species range shifts Habitat connectivity for conservation Sustainable oil palm production Protected area effectiveness Ecological modeling of climate impacts Genetic diversity conservation Recent Publications reveal consistent focus on tropical forest fragmentation, insect responses to climate change, and sustainable agricultural practices. Her work has significantly advanced understanding of species' adaptive capacities and landscape management strategies. Scientific Awards: Marsh Award for Conservation (2011) Honorary Fellow, Royal Entomological Society (2016) Academia Europaea member (2022) Research Leadership: She directs major NERC-funded projects including Connected treescapes (2021-2025) and Integrating ecological and cultural histories for Paramos (2018-2022), collaborating with institutions across Europe and Southeast Asia.

• Algorithms
• Graph Theory
• Computational Complexity
• +۳ مورد دیگر

Kitty Meeks is a Reader in the School of Computing Science at the University of Glasgow, having transitioned from the School of Mathematics and Statistics in 2016. Her research focuses on algorithm design, particularly parameterized and counting complexity, with applications in graph theory and precision medicine. She holds an EPSRC Fellowship (2021–2026) and previously a Royal Society of Edinburgh Personal Research Fellowship (2016–2021). Education: MMath in Mathematics and Computer Science (Oxford, 2009), DPhil in Mathematics (Oxford, 2013). Postdoctoral research at Queen Mary University of London (2012–2014). Research: Explores efficient algorithms for network analysis, including structural properties of real datasets and applications in precision medicine. Current projects address combinatorial optimization for multiple solution spaces. Awards: Royal Society of Edinburgh Fellowship, EPSRC Fellowship. Grants: EPSRC projects on multilayer algorithmics and precision medicine, plus Scottish Crucible Seed Funding. Students: Supervises Peace Ayegba (Student-Project Allocation Problems) and Laura Larios-Jones (Temporal Graph Algorithms).

Zeynep Işıl Kalaylıoğluمشاهده پروفایل

استاد

• Bayesian Statistics
• Environmental Statistics
• Health Statistics
• +۳ مورد دیگر

Prof. Zeynep Işıl Kalaylıoğlu is a Professor of Statistics at the Department of Statistics, Middle East Technical University (METU), Ankara, within the Faculty of Arts and Sciences. She holds a Ph.D. in Statistics from North Carolina State University (2002) and has held roles including Associate Professor (2014–2022), Assistant Professor (2009–2014), and researcher at the National Cancer Institute (2002–2007). She has served in administrative roles such as Assistant to the Department Head and member of METU’s Wind Energy Research Center and Faculty Board. Ph.D.: Statistics, North Carolina State University, 2002 M.S.: Statistics with Computational Engineering minor, North Carolina State University, 1999 B.S.: Statistics with Computer Engineering minor, Middle East Technical University, 1995 Her research focuses on Bayesian statistical methodologies for environmental and health phenomena. Key areas include spatial/temporal modeling of atmospheric and ecological variables, prediction of migratory patterns (e.g., wind direction, bird movements), and risk modeling for breast cancer using mammogram data. She develops flexible models for circular and extremal data, emphasizing applications in ecology, epidemiology, and environmental science. Her recent publications address topics like goodness-of-fit tests for statistical distributions, predictive model selection for circular data, and Bayesian approaches for missing covariates in generalized linear models. Current projects include mobile apps for olive harvest optimization and frost预警 systems, reflecting her commitment to applied statistical solutions. Labs/Teams: She leads the BayeZian Research Group, collaborating with METU’s Ecosystem Research Center on interdisciplinary projects. Her teaching expertise spans mathematical statistics, Bayesian theory, and statistical inference at undergraduate and graduate levels.

Zoran Obradovicمشاهده پروفایل

استاد

• Bioinformatics
• Healthcare informatics
• Data mining
• +۱۲ مورد دیگر

Zoran Obradovic holds the prestigious L.H. Carnell Professorship of Data Analytics at Temple University where he serves as Professor in the Computer and Information Sciences Department and the Statistics Department. He also directs the Center for Data Analytics and Biomedical Informatics and maintains secondary appointments at Temple's Fox School of Business. Internationally, he serves as Research Professor at The Mathematical Institute of the Serbian Academy of Sciences and Arts, and as Visiting Professor at both the School of Medicine and School of Management at the University of Belgrade. His research spans multiple cutting-edge domains of data science: Bioinformatics and protein disorder prediction Healthcare informatics and clinical decision support systems Machine learning for complex networks and big data Spatial and temporal data analytics Applications in healthcare management, social networks, and earth science Dr. Obradovic pioneered research on intrinsically disordered proteins, earning multiple CASP awards. His work addresses challenges related to heterogeneous, spatial, and temporal data analytics with applications across healthcare, power systems, earth science, and social sciences. His research has been funded by prestigious organizations including NIH, NSF, DARPA, DOE, and industry partners. With approximately 450 publications and an H-index of 68 (over 33,000 citations), his scholarly impact is substantial. He serves as editor-in-chief of the Big Data journal and chairs the SIAM Data Mining conference steering committee, reflecting his leadership in the field. Scientific Recognition Elected Member of Academia Europaea (2015) Foreign Member of Serbian Academy of Sciences and Arts (2015) Asia-Pacific Artificial Intelligence Association Fellow (2021) Multiple best paper awards at international conferences Temple University's President's Outstanding Faculty Research Award (2009) Three consecutive CASP awards for protein structure prediction (2002-2006) Dr. Obradovic has mentored approximately 50 postdoctoral fellows and Ph.D. students, many of whom now hold positions at leading academic institutions and tech companies including Amazon, Facebook, IBM, Microsoft, and Uber. He has served on editorial boards for 13 journals and organized numerous international conferences in data mining and bioinformatics. His Center for Data Analytics and Biomedical Informatics develops advanced data science methods addressing real-world challenges in healthcare, science, engineering, and business applications, with active recruitment for Ph.D. students and postdoctoral researchers.

Peter Butcherمشاهده پروفایل

مدرس

• Immersive Analytics
• Human-Computer Interaction
• Data Visualization
• +۴ مورد دیگر

Peter Butcher is a Lecturer in Human-Computer Interaction at Bangor University's School of Computer Science and Engineering. With a PhD in Computer Science from the University of Chester, he specializes in visualization techniques and immersive analytics, particularly focusing on Virtual Reality, Augmented Reality, and WebXR platforms. 2015-2020: PhD, Computer Science, University of Chester 2014-2015: MSc, Computer Science, Bangor University 2011-2014: BSc, Computer Science, Bangor University His research interests center on Immersive Analytics , Human-Computer Interaction , and Data Visualization . He explores how contextual awareness and multivocality in visualization can enhance user experience and data interpretation. His work spans from technical frameworks like WebXR to applications in e-lexicography and flood risk management. Recent publications highlight his contributions to collaborative platforms ( DashSpace ), attention-aware systems ( Attention-Aware Visualization ), and magic-inspired tools ( Wizualization ). He also investigates educational applications of visualization, particularly in critical thinking development. Scientific achievements include the Best Full Papers Honourable Mention at IEEE VIS 2021 and recognition as a Fellow of the Higher Education Academy (FHEA) via Bangor University's CPD Recognition Scheme. He actively supervises doctoral students in areas like AI for Legal Technologies and Multivocality in Visualization. Peter contributes to teaching modules on Web Technologies , Game Production , and High Performance Computing . He also co-founded Sim Broadcasts and serves as Chairman of Rethink Racing , demonstrating his engagement beyond pure academia.

• Statistical Physics
• Earthquake Fault Systems
• Computational Physics
• +۴ مورد دیگر

Rachele Dominguez is an Associate Professor of Physics at Randolph-Macon College in Ashland, Virginia, where she teaches a broad range of courses including introductory physics, quantum mechanics, computational physics, and special topics like the physics of light and the atomic bomb. She holds a PhD in Physics from Boston University (2010), an MS from the University of Washington (2004), and a BS from the College of William and Mary (2002) in Physics and Philosophy. Her research focuses on statistical physics, particularly computational simulations of phase transitions and earthquake fault systems. Notable projects include modeling spatial symmetry breaking, earthquake fault dynamics, and complex networks. She has also pioneered coastal storm impact studies, developing the Cumulative Storm Impact Index (CSII) to assess beach erosion along the U.S. East Coast. Dr. Dominguez has been recognized with awards such as the Distinguished Chapter Award (2024), Omicron Delta Kappa Outstanding Advisor Award (2021), and the Frank Haig Prize (2015). Her teaching spans foundational courses to advanced labs and independent studies, emphasizing hands-on research and interdisciplinary problem-solving. Her work bridges computational methods with real-world applications, including collaborations on geophysical modeling and STEM education initiatives to recruit underrepresented students in the sciences.

Jin Ruiمشاهده پروفایل

پژوهشگر

• Geographic Information Science
• Urban Artificial Intelligence (GeoAI)
• Spatial Data Science
• +۵ مورد دیگر

Dr. Jin Rui is a Postdoctoral Research Associate at King’s College London’s Department of Geography within the School of Global Affairs, Faculty of Social Science & Public Policy. He holds a PhD in Spatial Planning (2024, Technical University of Dortmund), an M.Sc. in Architecture and Urban Planning (2020, Leibniz University Hannover), and a B.Sc. in Architecture (2018, China Academy of Art). His research focuses on spatial data science, urban AI, and GeoAI applications in smart cities and risk management. Key research areas include urban visual intelligence, GeoAI for disaster analysis, and quantitative urban planning using big data. He leads projects like the British Academy-funded Sinking Cities initiative and collaborates on digitalization and public health. He serves as a guest editor for Land and reviews for journals like Nature Cities . His work bridges theory and practice, offering policy insights on urban renewal, pedestrian-centered design, and sustainable mobility. He has delivered lectures at the University of Hong Kong and China Academy of Art on AI-driven urban planning.

Yohei KATOمشاهده پروفایل

پژوهشگر ارشد

• Community Development
• Urban Studies
• Empowerment
• +۸ مورد دیگر

Yohei Kato is a Research Fellow at the Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design (SUTD). He holds a PhD in Architecture and Sustainable Design (SUTD, 2023), an MSc in Community Development (University of California, Davis, 2015), and a BA in International Development (University of Tsukuba, 2013). His research focuses on community engagement, urban sustainability, and participatory methodologies. Key areas include empowerment mechanisms, mixed-methods research, social network analysis, and youth participation in urban design. He supports projects such as the 'Integrated Socio-Temporal Study of Outdoor Recreation Spaces in Singapore' and has contributed to initiatives in Japan, India, Bangladesh, and the US. Recent work explores how outdoor spaces influence social interactions and wellbeing, as well as strategies for inclusive built environments through participatory approaches. Education: PhD in Architecture and Sustainable Design (SUTD, 2023) MSc in Community Development (UC Davis, 2015) BA in International Development (University of Tsukuba, 2013) Research Themes: Community development and empowerment Urban design for inclusivity Photovoice & participatory methods Social network analysis Youth & children's participation Outdoor spaces and wellbeing Key Projects: Outdoor Recreation Spaces in Singapore study Placekeeping initiatives in Japan Landscape democracy analysis along Singapore’s Rail Corridor His work bridges academic research and practical urban planning, emphasizing collaborative frameworks to address contemporary challenges in community development and sustainable design.

• Applied Econometrics
• Applied Statistics
• Housing Economics
• +۳ مورد دیگر

Ranjodh Singh is a Senior Lecturer at the School of Accounting, Economics and Finance within the Faculty of Business and Law at Curtin University. He holds a BSc (Hons) and PhD in disciplines relevant to his research focus. His teaching responsibilities include undergraduate and postgraduate courses in Data Analytics and Econometrics, and he supervises Honours, Masters, and PhD students in these areas. Ranjodh’s research interests center on Applied Econometrics , Applied Statistics , and Housing Economics . His work explores topics such as housing market dynamics, policy impacts on mental wellbeing, Indigenous mobility, and nonlinear econometric modeling. Recent studies include analyzing rental subsidy effectiveness, cannabis-tobacco consumption linkages, and post-pandemic housing demand shifts. His publications span leading journals like Housing Studies , International Journal of Housing Policy , and Journal of Population Economics . He frequently collaborates with researchers across disciplines, including economists, statisticians, and sociologists. His research has addressed policy-relevant issues such as rental affordability, remote infrastructure planning, and pandemic-driven economic shifts. Ranjodh’s contributions extend to major research initiatives like the AHURI Final Reports series, focusing on housing stress and Indigenous community needs. His methodologies blend traditional econometrics with machine learning advancements, as seen in his work on nonlinear models and forecast combinations.

Mateusz Zawadzkiمشاهده پروفایل

استادیار

• Historical GIS (HGIS)
• Spatial Humanities
• Old-Polish communication networks
• +۳ مورد دیگر

Mateusz Zawadzki is an Assistant Professor at the Department of Geomatics and Cartography, Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University (UMCS). He holds a Ph.D. in Geography (2019, UMCS) and an MA in History (2011, KUL). His career spans roles at UMCS (2017–present), GIS-Expert Sp. z.o.o. (2012–2017), and leadership in the "GIS across the border" research team (2013–2014). Education: Ph.D. in Geography (UMCS, 2019), MA in History (KUL, 2011) Employment: Assistant Professor (UMCS, 2021–present), Research Associate (UMCS, 2017–2021) His research focuses on Historical GIS (HGIS), Spatial Humanities, and reconstruction of Old-Polish communication networks using Web-GIS tools. He has contributed to digital repositories like Polegli1939.pl , analyzed 19th-century Polish military cartography, and explored WWII impacts on Białowieża Forest through interdisciplinary lenses. Recent publications address methodological challenges in multi-sheet historical map georeferencing and metadata frameworks for post-Paris Peace Conference boundary studies. He teaches GIS procedures, Web-GIS applications, and coordinates geoinformatics studies at UMCS. As a consultant for the "GIS in history" Dialog project (2018–2020) and coordinator of the DARIAH-PL digital infrastructure initiative (2021–2024), he bridges geospatial technology with humanities research. Collaborative works include Roman artifact mapping in Krajna region and 3D archaeological site modeling.

• Watershed Modeling
• Water Quality
• Agricultural Ecosystems
• +۷ مورد دیگر

Rebecca Muenich is an Associate Professor in the Department of Biological & Agricultural Engineering at the University of Arkansas. Her research bridges watershed modeling, agricultural ecosystems, and the food-energy-water nexus, with a focus on surface hydrology, water quality, and climate impacts. She holds a Ph.D. (2015) and M.S. (2011) in Agricultural & Biological Engineering from Purdue University, and a B.S. in Biological Engineering (2009) from the University of Arkansas. Her research explores watershed and environmental modeling, agricultural management, urban agriculture, and climate impacts on water resources. Key interests include mitigating nutrient pollution, enhancing ecosystem services, and developing sustainable land-use strategies. Recent publications emphasize machine learning applications in environmental monitoring, phosphorus circularity, and climate-resilient water management. Muenich leads significant grants including a USDA NRCS project on PFAS in agriculture (2023-2027), NSF-STC’s Science and Technology for Phosphorus Sustainability (2021-2031), and DISES research on cyanobacterial blooms (2022-2025). She mentors students in her research group (Muenich Lab) and collaborates on interdisciplinary projects. Lori Libbert New Faculty Commendation (2024) Early Career Alumni Award, UA Engineering (2022) New Face of ASABE (2020) National Science Foundation Graduate Research Fellowship (2009)

Markus Schartauمشاهده پروفایل

پژوهشگر

• Marine Biogeochemical Modeling
• Plankton Dynamics
• Ocean Ecosystem Modeling
• +۷ مورد دیگر

Markus Schartau is a Researcher in the Biogeochemical Modelling Research Unit at GEOMAR Helmholtz Centre for Ocean Research Kiel, where he has worked since 2013. His research focuses on marine biogeochemical modeling, plankton dynamics, and parameter optimization in ecosystem models. With over 69 publications spanning two decades, Schartau has established himself as a leading expert in marine biogeochemical modeling, particularly in the areas of model calibration, mesocosm experiment simulation, and plankton community dynamics. His research interests encompass uncertainty and trustworthiness of biogeochemical model results, species composition and size frequency structures of plankton, methods of parameter optimization and model selection, simulations of mesocosm experiments, physiological and ecological variations of plankton, and temporal and spatial variations of organic substances in coastal ocean areas and estuaries. Schartau's work often bridges theoretical modeling with experimental observations to improve our understanding of marine biogeochemical processes. The analysis of his recent publications (2020-2024) reveals a strong focus on marine biogeochemical modeling, with particular emphasis on plankton dynamics, carbon cycling, and the impacts of environmental change. His work spans multiple spatial scales from coastal systems to the global ocean and integrates approaches from data science, biogeochemistry, and ecosystem modeling. Key themes include model calibration techniques, mesocosm experiment analysis, marine particle dynamics, and the effects of ocean acidification on biogeochemical processes. Schartau actively participates in major research projects including OceanNETs (EU project), BASS (funded by DFG), ICEBERG (EU project), and μARC (funded by BMBF), demonstrating his integration into the international marine science community. His collaborative approach is evident in his extensive co-authorship network across multiple institutions and countries. His career trajectory shows progression from postdoctoral positions at Stony Brook University and the Alfred Wegener Institute to permanent research scientist roles at Helmholtz-Zentrum Geesthacht (now HEREON) and finally at GEOMAR. This path reflects his growing expertise and recognition in the field of marine biogeochemical modeling.

• Agent-Based Modelling
• Urban Energy Systems
• Sustainable Development
• +۶ مورد دیگر

Koen Van Dam is a Research Fellow at Imperial College London's Department of Chemical Engineering, part of the Urban Energy Systems group within the Faculty of Engineering. His work focuses on agent-based modelling of socio-technical systems to support decision-making in urban energy and transport infrastructure design. He leads the SEF05 Urban Energy Systems module in the Sustainable Energy Futures MSc program and co-organizes computational social science summer schools. Koen has held visiting researcher positions at the National University of Singapore and TU Delft, and previously served as president of Eurodoc (European council for doctoral candidates). Education: MSc in Artificial Intelligence (Vrije Universiteit Amsterdam), PhD from TU Delft (2009) with thesis on agent-based modelling of socio-technical systems. Research interests emphasize integrating spatial/temporal data across energy and transport sectors to model urban systems at multiple scales. Projects include: FCDO Climate Compatible Growth (CCG) project COP26 Rapid Response Facility technical lead EPSRC-funded Digital City Exchange (DCE) and IDLES projects resilience.io (DFID project) Key contributions include decision support tools for: Electric vehicle infrastructure planning Low-carbon energy systems Smart district design Post-pandemic urban resilience Awards: None explicitly listed, though his extensive project leadership indicates recognition in sustainability research. Advising: Supervised over 40 MSc/MEng projects on smart cities, energy demand, EVs, bioenergy, and resilient infrastructure. Active in education through master's course leadership and international summer schools. Labs/Teams: Affiliated with Energy Futures Lab, Network of Excellence in Air Quality, and the Artificial Intelligence Climate Compatible Growth initiative.

Mathias Kneubühlerمشاهده پروفایل

مدرس ارشد

• Remote Sensing
• Imaging Spectroscopy
• Earth Observation
• +۷ مورد دیگر

Mathias Kneubühler is a Senior Lecturer and Scientific Section Head of Remote Sensing Spectroscopy at the Department of Geography, Faculty of Science, University of Zurich. He leads the Spectroscopy Lab and has been a key figure in advancing imaging spectroscopy and Earth observation research. He is actively involved in international remote sensing initiatives, including serving as the Swiss ESA-DOSTAG Delegate and Co-Chair of the EARSeL Special Interest Group on Imaging Spectroscopy. PhD in Remote Sensing, University of Zurich (1997–2002) MSc in Geography, University of Zurich (1992–1996) His research focuses on imaging spectroscopy , spectro-directional measurements , and ecosystem monitoring , with applications in plant phenology , biodiversity assessment , and land surface dynamics . He investigates how multi-angular and hyperspectral data can improve the understanding of vegetation structure, function, and environmental responses. His work integrates field spectroscopy, airborne and satellite remote sensing, and advanced data processing techniques. The recent publications highlight a strong trend in imaging spectroscopy for ecological applications, including plant trait mapping , camouflage detection , tree species identification , and phenology modeling . These studies often involve UAV and satellite data fusion, BRDF correction, and machine learning, demonstrating interdisciplinary innovation in remote sensing science. Co-Chair, EARSeL Special Interest Group on Imaging Spectroscopy (2016–present) President, Swiss Commission for Remote Sensing (2015–2020) Swiss ESA-DOSTAG Delegate (2004–2024) He has supervised several PhD and Master’s students, including Marius Vögtli, Christian Rossi, and Mojdeh Miraki, contributing to the next generation of remote sensing scientists. His leadership in organizing scientific workshops and campaigns underscores his role in fostering collaborative research. He is associated with the Spectroscopy Lab at the University of Zurich, which conducts cutting-edge research in spectro-directional measurements and environmental monitoring.