جست‌وجوی استاد و پژوهشگر

Belen Marti-Cardonaمشاهده پروفایل

دانشیار

• Remote Sensing
• Hydrological Modelling
• Water Resources Sustainability
• +۳ مورد دیگر

Dr Belen Marti-Cardona is an Associate Professor in Earth Observation and Hydrology at the University of Surrey's School of Sustainability, Civil and Environmental Engineering. She holds a PhD, MSc, and MEng, with expertise in hydrological/hydraulic modelling and Earth observation technologies (e.g., SAR, thermal, optical imagery). Her research focuses on remote sensing applications for environmental engineering, including soil moisture analysis, river restoration, and urban growth monitoring. She also works as a data scientist integrating Earth observation into commercial products. Her research projects include the £88,112-funded 'Remote quantification of soil organic carbon,' examining topographic influences on soil carbon distribution. She has led studies on UK bridge vulnerability to instream wood accumulation and developed machine learning methods like HyperKon for hyperspectral image analysis. Key publications span 2019–2025, covering topics from Lake Poopó's ecological crisis to nature-based solutions for natural hazard mitigation. Her work emphasizes interdisciplinary approaches, combining numerical modelling, satellite remote sensing, and field data to address water resource sustainability and infrastructure resilience. Dr Marti-Cardona collaborates with global partners on projects like Zambia's Kitwe City river restoration and has advised on thermal impact modelling for reservoirs using satellite imagery. Her teaching and research align with the UN Sustainable Development Goals, particularly Goal 6 (Clean Water) and Goal 11 (Sustainable Cities).

Adam Slezمشاهده پروفایل

دانشیار

• Comparative-Historical Sociology
• Political Sociology
• Quantitative Methods and Statistics
• +۲ مورد دیگر

Adam Slez is an Associate Professor of Sociology and Director of Graduate Studies at the University of Virginia. He holds a Ph.D. in Sociology from the University of Wisconsin-Madison (2011) and previously served as a Postdoctoral Research Associate at Princeton University's Center for the Study of Social Organization. His research focuses on comparative-historical sociology, political sociology, quantitative methods, spatial data analysis, and network analysis. Slez examines the interplay between politics and markets, state-building, and spatial dimensions of political cleavages, with notable work on railroad expansion's impact on third-party mobilization in the American West and the U.S. Constitutional Convention of 1787. His work has been published in the American Sociological Review and other leading journals. His research methodologies emphasize integrating spatial data analysis with historical inquiry, addressing topics such as institutional development, political dynamics, and socio-economic structures. Slez’s contributions span theoretical and methodological innovations, particularly in applying quantitative techniques to historical social science.

• Disease Ecology
• Spatial Epidemiology
• GIS in Public Health
• +۴ مورد دیگر

Michael E. Emch is a W.R. Kenan, Jr. Distinguished Professor of Geography and Epidemiology at the University of North Carolina at Chapel Hill (UNC-Chapel Hill). He holds a PhD in Medical Geography from Michigan State University (1998) and has been a Fellow at the Carolina Population Center. His research integrates spatial analysis with epidemiological and ecological theories to study infectious diseases in developing regions, focusing on disease ecology, spatial epidemiology, and GIS applications in public health. He directs the Spatial Health Research Group and is affiliated with the UNC Infectious Diseases, Epidemiology, and Ecology Lab (IDEEL). His research explores spatio-temporal patterns of diseases like malaria, hepatitis B, and influenza, emphasizing how social, environmental, and built factors influence disease spread. Notable projects include studies on swine influenza evolution, malaria vaccination efficacy (RTS,S/AS01), and hepatitis B elimination strategies in the Democratic Republic of Congo. He also investigates environmental health issues, such as groundwater contamination and cholera transmission in Bangladesh. Education: PhD in Medical Geography (1998, Michigan State University), MA in Geography (1992, Miami University of Ohio), BA in Biology (1987, Alfred University). Service: Editorial roles in journals like Health & Place and SSM - Population Health . Awards: W.R. Kenan, Jr. Distinguished Professorship, Fellow of the Carolina Population Center. Teaching focuses on spatial components of health, including courses like GIS in Public Health and Infectious Disease Ecology . Recent articles highlight cutting-edge work on machine learning in environmental health, vaccine efficacy analysis, and spatial epidemiology of emerging pathogens. His advocacy for interdisciplinary approaches bridges geography, epidemiology, and ecology to address global health challenges.

Didong Liمشاهده پروفایل

استادیار

• Biostatistics
• Machine Learning
• Geometric Data Analysis
• +۷ مورد دیگر

Dr. Didong Li is an Assistant Professor in the Department of Biostatistics at the Gillings School of Global Public Health , University of North Carolina at Chapel Hill. His research focuses on statistical methods for complex data, including manifold learning, nonparametric Bayesian inference, and spatial statistics, with applications in healthcare, genomics, and environmental health. He holds a PhD in Mathematics from Duke University (2020), and degrees from Beijing Institute of Technology (BS 2012, MS 2015). His research interests include dimension reduction, Gaussian processes, geometric data analysis, and network analysis. He has developed novel methods for analyzing electronic health records, single-cell RNA sequencing data, and spatial omics datasets. Notable contributions include the spherelet manifold approximation framework and the STimage-1K4M dataset. Dr. Li has received the Inaugural IMS Lawrence D. Brown PhD Student Award (2019) . He serves on the editorial board of the Journal of Machine Learning Research and organized sessions at JSM 2021-2022 on geometric Bayesian methods. His lab supports interdisciplinary collaborations, with ongoing projects in spatial transcriptomics, healthcare access analysis, and AI-driven medical informatics. Advising highlights include guiding students through successful PhD defenses (e.g., Dr. Sam Hawke, Dr. Jiawen Chen) and postdoctoral placements. His team secured a NVIDIA Academic Grant (2024) for multi-modal AI in spatial transcriptomics. The Li Lab maintains active partnerships with institutions worldwide, advancing both statistical theory and real-world applications.

• Child Health and Development
• Epidemiology
• Public Health Surveillance
• +۳ مورد دیگر

Associate Professor Catherine Chittleborough is an epidemiologist and Deputy Head of the School of Public Health at the University of Adelaide, affiliated with the BetterStart Health and Development Research initiative. She holds a joint appointment in the Faculty of Health and Medical Sciences. Previously, she worked at SA Health for a decade and completed a postdoctoral position at the University of Bristol. Her research focuses on reducing health inequalities in child development, leveraging causal epidemiological methods and population data from longitudinal cohorts. She teaches undergraduate public health and epidemiology courses. Education: Postdoctoral training at the University of Bristol (2009-2011) Extensive prior experience at SA Health (1990s-2010) Research Interests: Child health equity, causal epidemiology, data linkage studies, early childhood development, and interventions targeting family support programs. Her work emphasizes identifying at-risk children to improve preventive strategies. Grants & Funding: EMPOWER Project (NHMRC AUD 2.4M, 2016-2020) SA Health Data Linkage Studies (NHMRC AUD 453K, 2013-2016) Child Maltreatment and School Outcomes (Channel 7 AUD 69K, 2016-2018) Teaching: Coordinator for PUB HLTH 1001, HLTH SC 3103, and other public health modules. Active in curriculum design and delivery across undergraduate programs. Professional Activities: Chair, School of Public Health Learning and Teaching Committee Member of multiple advisory boards and review panels Labs/Teams: Lead researcher in BetterStart Health and Development Research, collaborating on interdisciplinary projects to improve child health outcomes through policy and practice.

Josh Reissمشاهده پروفایل

استاد

• Audio Engineering
• Signal Processing
• Music Production
• +۴ مورد دیگر

Josh Reiss is a Professor of Audio Engineering at Queen Mary University of London (QMUL), part of the School of Electronic Engineering and Computer Science . He holds additional roles including President-Elect and Fellow of the Audio Engineering Society (AES), and Visiting Professor at Birmingham City University. His research focuses on audio signal processing, procedural audio, and intelligent music production. He earned degrees including BSc in Physics, BSc in Mathematics, and a PhD. Research & Awards : Reiss has published over 200 papers, authored books like Intelligent Music Production , and received awards such as the AES Board of Governors Award (2009, 2010) and Best JAES Paper 2016. His work spans sound synthesis, dynamic range compression, and live audio systems. Teaching & Industry : Teaches modules like Artificial Intelligence and Sound Design. Co-founded startups LandR (AI mixing), Tonz, and Nemisindo. Leads the Centre for Digital Music at QMUL, advancing research in audio technology. Labs & Teams : Active in the Centre for Digital Music, collaborating on projects like the Open Multitrack Testbed and semantic audio evaluation tools.

• Quality of Experience (QoE)
• User Experience (UX)
• Cybersecurity
• +۶ مورد دیگر

Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology at NTNU. Her work focuses on socio-technical approaches in ICT research, particularly in Quality of Experience (QoE), human-technology interactions, and ethical implications of technology. She co-edits the journal Quality and User Experience and leads the 5-year Master's program in Cybersecurity and Data Communication. Her research emphasizes user-centric innovation, digital ethics, and sustainable HCI. Education: PhD in Social Sciences from Ghent University (2012). Visiting researcher at TU Eindhoven, TU Berlin, and NTNU (Marie Curie Fellow). Research Interests: User Experience (UX) and QoE in immersive technologies Human behavior and ethical design Ecological validity in user studies Cybersecurity in critical sectors Long-term QoE assessment Publications highlight: Recent work explores ethical risks in smart environments, sustainable multimedia design, and user perspectives on parental controls. Her projects include Amplify (EU-funded), PERSEUS Doctoral Programme , and Cryptology and Social Life . Supervision: Active mentor to over 30 PhD students and researchers, focusing on cybersecurity, ethical AI, and human-centered design. Grants: Principal Investigator for the Norwegian TufiQoE project (2020-2024) and grants on digital carbon footprint awareness. Labs/Teams: Member of SFI NORCICS (Norwegian Cybersecurity Center) and the Young Academy of Norway. Leads interdisciplinary projects in human-centric networking and XR security.

Rasmus Waagepetersenمشاهده پروفایل

استاد

• Spatial Statistics
• Quantitative Genetics
• Markov Chain Monte Carlo Methods
• +۳ مورد دیگر

Rasmus Waagepetersen is a Professor in the Department of Mathematical Sciences at Aalborg University, affiliated with The Faculty of Engineering and Science. His research focuses on spatial statistics, quantitative genetics, and statistical methodology for spatial point processes. He leads and participates in interdisciplinary projects such as urbanLab (spatial data analysis for urban planning) and studies on microbiome interactions in agricultural systems. Key research areas include spatial point processes, Markov chain Monte Carlo methods, and statistical inference for complex ecological and biomedical data. His work frequently involves collaborations with environmental and biological scientists, as seen in projects analyzing root microbiota assemblies in legumes and climate data for building simulations. Waagepetersen has contributed to methodological advancements in spatial statistics, including goodness-of-fit tests, likelihood-based inference for log Gaussian Cox processes, and quasi-likelihood approaches for case-control point pattern data. His research has been supported by grants from institutions like the Villum Foundation. Key Projects: urbanLab, Klimadata til fugtsimuleringer, Nod factor signaling in plant microbiota. Grants: Multiple projects funded by the Villum Foundation and Danish research councils. His recent publications address topics such as space-time point processes, microbiome data analysis, and statistical modeling in education. Waagepetersen maintains an active research group and collaborates internationally on both theoretical and applied statistical problems.

MATTHEW DZIECIUCHمشاهده پروفایل

پژوهشگر

• Ocean Acoustic Tomography
• Climate Monitoring via Ocean Acoustics
• Arctic Oceanography
• +۳ مورد دیگر

Matthew Dzieciuch is a Researcher at the Institute of Geophysics and Planetary Physics, part of the Scripps Institution of Oceanography at the University of California San Diego. His work focuses on ocean acoustic tomography and climate monitoring through ocean acoustics. He holds degrees from the University of Michigan (B.S., M.S., PhD) and has contributed to major Arctic and global ocean acoustics research initiatives. Key research areas include acoustic propagation in polar regions, Arctic climate change impacts, and the integration of acoustic networks into ocean observing systems. He has led and participated in large-scale experiments like CANAPE (Canada Basin Acoustic Propagation Experiment) and CAATEX (Coordinated Arctic Acoustic Thermometry Experiment), focusing on tomographic arrays, glider-based acoustics, and long-range acoustic measurements. His publications emphasize acoustic travel-time analysis, sea ice dynamics, and the interplay between environmental conditions and sound transmission. Dzieciuch collaborates with institutions globally to advance acoustic-based oceanography and climate monitoring, leveraging autonomous platforms like gliders and buoyancy-driven vehicles.

Maggie Ellis Curryمشاهده پروفایل

استادیار

• Tectonics
• Geomorphology
• Basin Analysis
• +۳ مورد دیگر

Maggie Ellis Curry is an Assistant Professor in the Department of Marine, Earth, and Atmospheric Sciences at NC State University. She specializes in tectonics systems geology, focusing on ancient large-scale tectonic systems and their interactions with surface processes and basins. Her research combines numerical models with diverse datasets including thermochronology, geochronology, and geomorphic observations. Education: Ph.D. in Geosciences, University of North Carolina at Chapel Hill (2015) M.S. in Geosciences, University of Texas at Austin (2009) B.A. in Geology, Ohio Wesleyan University (2007) Research Interests: Dr. Curry explores the feedbacks between tectonics, surface processes, and basins. Her work emphasizes thermochronology, numerical modeling (e.g., landscape evolution, thermo-kinematic models), and subsurface data integration. She utilizes high-performance computing (HPC) at NC State to develop and run large-scale simulations. Teaching: She instructs undergraduate and graduate courses in structural geology, geologic field methods, and tectonic systems. Her research spans global mountain ranges and basins, including studies in Alaska and North Carolina. Labs & Resources: Active in developing combined flexural and thermal subsidence models for tectonic basins, leveraging HPC infrastructure at NC State.

Ulrich Parlitzمشاهده پروفایل

استاد مدعو

• Nonlinear Dynamics
• Chaos Theory
• Biomedical Physics
• +۷ مورد دیگر

Ulrich Parlitz is an Adjunct Professor of Physics at Georg-August-University Göttingen and a Scientist leading the Biomedical Physics Group at the Max Planck Institute for Dynamics and Self-Organization. His research focuses on nonlinear dynamics, chaos theory, and biomedical applications, particularly in cardiac dynamics and excitable media. He has held visiting positions at institutions like UC San Diego and the Santa Fe Institute. Education: 1987 PhD in Physics, Georg-August-University Göttingen 1984 Diploma in Physics, Georg-August-University Göttingen Research Interests: Analysis of nonlinear systems (neurons, lasers, oscillators) Bifurcation and chaos phenomena Data-based modeling and synchronization control Wave dynamics in excitable media (e.g., cardiac arrhythmias) Fractal dimension estimation and reservoir computing Labs/Teams: Leads the Biomedical Physics Group at MPI-DS and contributes to the IMPRS Program in Physics of Biological and Complex Systems.

Ortis Yankeyمشاهده پروفایل

پژوهشگر ارشد

• Spatial Epidemiology
• Population Modelling
• Health/Medical Geography
• +۳ مورد دیگر

Ortis Yankey is a Research Fellow and Geospatial Data Analyst with the WorldPop Research Group at the University of Southampton, UK. He holds a Ph.D. in Geography from Kent State University (Ohio, USA). His research focuses on Bayesian spatial statistics, spatial and spatiotemporal epidemiology, and health/medical geography. Current work involves developing statistical approaches to produce high-resolution population estimates in low-income countries using geospatial data integration and examining health outcomes in underserved populations. Education: Ph.D. in Geography, Kent State University, Ohio, USA Research Interests: Population Modelling Spatial Epidemiology Health/Medical Geography Spatial Statistics Articles Trends: Recent work emphasizes Bayesian methods, spatial data integration for public health, and addressing demographic data gaps in low-resource settings. Themes include healthcare accessibility in Ghana, obesity predictors in Uganda, and vaccination coverage mapping. Labs/Teams: Active member of the WorldPop Research Group and the Population, Health and Wellbeing (PHeW) research group.

Yichuang Sunمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +۷ مورد دیگر

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

Renata Borovica-Gajicمشاهده پروفایل

دانشیار

• Database Systems
• Machine Learning
• Artificial Intelligence
• +۱۲ مورد دیگر

Renata Borovica-Gajic is an Associate Professor in Data Analytics and an ARC DECRA Fellow at the School of Computing and Information Systems (CIS), University of Melbourne. She also serves as Associate Dean (Diversity and Inclusion) for the Faculty of Engineering and IT, demonstrating leadership in both research and academic community development. Her research lies at the intersection of database systems, machine learning, and artificial intelligence, with a vision of creating adaptive, self-driving database engines that optimize query execution in real-time. Her work spans learned indexes, query optimization, data quality, and data-driven traffic optimization, aiming to reduce costs and improve performance in data analytics. The recent publications reflect a strong trend toward integrating machine learning into core database operations—particularly through learned indexes, bandit-based tuning, and reinforcement learning for traffic systems. These works emphasize automation, provable guarantees, and real-time adaptation, showcasing a cohesive research agenda focused on intelligent, self-optimizing data systems. Her scientific excellence is recognized by numerous awards, including: L'Oréal-UNESCO for Women in Science Fellowship (2023) Victorian Young Tall Poppy (2024) Test of Time Award at SIGMOD 2022 Multiple Research and Teaching Excellence Awards from the University of Melbourne Google Research Inclusion Award (2021) She actively mentors PhD students and leads significant research projects funded by the Australian Research Council, Google, and Telstra. Her service includes roles as Associate Editor for SIGMOD Record, conference organization (e.g., aiDM, ADC, VLDB), and leadership in diversity and inclusion initiatives. She has also contributed to influential publications such as a chapter in the 7th edition of Database System Concepts . Her research lab focuses on AI-powered databases, traffic optimization via reinforcement learning, and self-healing data systems, positioning her at the forefront of next-generation data management.

Helena Herrمشاهده پروفایل

پژوهشگر

• Marine Mammal Ecology
• Conservation Biology
• Population Dynamics
• +۵ مورد دیگر

Dr. Helena Herr is a Postdoctoral Researcher and Marine Mammal Ecologist at the University of Hamburg, working within the Faculty of Mathematics, Computer Science and Natural Sciences, Department of Biology, specifically at the Institute of Marine Ecosystem and Fisheries Sciences. Her office is located at Große Elbstraße 133 in Hamburg, where she conducts critical research on marine mammal populations and their conservation. Her research interests focus on marine mammal ecology and conservation, with particular emphasis on population surveys to investigate abundance, distribution, and habitat use of whales. Dr. Herr specializes in large whales in the Antarctic, examining their population status and recovery from commercial whaling. Her work integrates field studies with advanced analytical methods to develop scientific foundations for marine conservation and management policies. She actively uses aerial surveys, satellite tagging, and ecological modeling in her research approach. Analysis of Dr. Herr's recent publications reveals a strong focus on fin whale ecology in the Antarctic region, with particular attention to population dynamics, feeding behavior, and recovery from historical whaling impacts. Her research employs innovative methods including drone imagery, machine learning for photo identification, and multi-source data integration for habitat modeling. A significant portion of her work examines anthropogenic impacts on whale populations while documenting natural ecological patterns and recovery trends. Member of the Scientific Committee of the International Whaling Commission Chair of the Southern Hemisphere Baleen Whales subcommittee German representative in the Southern Ocean Research Partnership (IWC-SORP) Leader of the 'Southern Hemisphere fin whales' focus area Guest scientist at Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung Dr. Herr leads a DFG-funded project on fin whale population status along the Antarctic Peninsula (SPP 1158), collaborating with the Alfred Wegener Institute. Her research has been supported by multiple third-party funding sources including the German Federal Ministry of Education and Research, the Federal Agency for Agriculture and Food, and the Federal Agency for Nature Conservation. She has participated in numerous Antarctic research expeditions aboard vessels including RV Polarstern and RV Maria S. Merian. She is part of the Marine Ecosystem Dynamics and Management research team at the University of Hamburg, collaborating with international researchers across multiple institutions. Her work contributes to global efforts in cetacean conservation and Antarctic ecosystem management through participation in international frameworks including the International Whaling Commission and CCAMLR.