جست‌وجوی استاد و پژوهشگر

Xiaomeng Jinمشاهده پروفایل

استادیار

• Atmospheric Chemistry
• Air Pollution
• Environmental Science
• +۳ مورد دیگر

Xiaomeng Jin serves as an Assistant Professor in the Department of Environmental Sciences at Rutgers, The State University of New Jersey, where she leads research on atmospheric chemistry and air pollution dynamics. Her work bridges observational science with computational modeling to address critical environmental challenges. Her academic background includes: PhD in Earth and Environmental Sciences, Columbia University (2020) NOAA Climate and Global Change Postdoctoral Fellowship, University of California, Berkeley Dr. Jin's research focuses on atmospheric chemical processes driving surface ozone and fine particulate matter formation, utilizing satellite remote sensing, in-situ measurements, and advanced computer models. Her investigations span urban to global scales, examining pollution sources, transformation mechanisms, and environmental health impacts. This interdisciplinary work integrates atmospheric physics, chemistry, and environmental policy frameworks to develop actionable air quality solutions. Her distinguished recognition includes: NOAA Climate and Global Change Postdoctoral Fellowship Dr. Jin actively mentors emerging scientists through her research group, recently welcoming six new members including graduate students Siyi Wang, Yu Tian, Jiaqi Shen, Chitral Samala, Zaina Merchant, and Charlotte Orton. She maintains an active recruitment pipeline, announcing a postdoctoral position in atmospheric chemistry in March 2023 to expand her team's analytical capabilities. Her laboratory employs cutting-edge observational networks and modeling systems to investigate pollution-climate interactions, with ongoing projects examining biomass burning emissions, urban pollution dynamics, and satellite data integration for real-time air quality forecasting.

• Plant Ecology
• Plant Physiology
• Kin Recognition in Plants
• +۴ مورد دیگر

Susan Dudley is a Professor in the Department of Biology at McMaster University, where she has established herself as a leading researcher in plant ecology and physiology. Her work spans multiple areas including plant-plant interactions, kin recognition mechanisms in plants, and pollinator ecology, with significant contributions to understanding how plants interact with their environment and with each other. Ph.D. in Ecology and Evolution from University of Chicago (1991) M.Sc. in Biology from McGill University (1984) B.Sc. in Biology from McGill University (1981) Dr. Dudley's research primarily focuses on plant social behavior, particularly kin recognition and cooperation among plants. Her groundbreaking work has demonstrated that plants can recognize their relatives and modify their growth patterns accordingly, challenging traditional views of plant behavior. She also investigates pollinator ecology, with recent research on wild bees including the unusual case of snail shell-nesting bees. Her interdisciplinary approach combines field observations, controlled experiments, and molecular techniques to address fundamental questions in plant ecology. Her publication record shows consistent productivity with a focus on plant social interactions over the past 15 years. The research trends reveal an evolution from basic studies on kin recognition mechanisms to applications in conservation biology and sustainable agriculture. Her recent work connects plant social behavior with broader ecological concerns including invasive species management, pollinator conservation, and forest ecosystem dynamics. As an educator, Dr. Dudley teaches Ecological Statistics (BIOLOGY 707), Applied Statistics for Biology (BIOLOGY 3SA3), Field Methods in Ecology (BIOLOGY 3JJ3), and Plant Biodiversity and Biotechnology (BIOLOGY 2D03). Her teaching spans both undergraduate and graduate levels, emphasizing practical field and statistical skills essential for modern ecological research. Her research has received significant attention in both academic and public spheres, with multiple publications picked up by news outlets, referenced in Wikipedia pages, and shared across social media platforms. The collaborative nature of her work is evident from her co-author network, which includes researchers across various biological disciplines.

C. Rhett Jacksonمشاهده پروفایل

استاد

• Water Quality
• Hydrology
• Environmental Engineering
• +۴ مورد دیگر

Dr. C. Rhett Jackson serves as the Associate Dean of Academic Affairs and holds the John Porter Stevens Distinguished Professorship in Water Resources at the University of Georgia's Warnell School of Forestry and Natural Resources. His research focuses on the impacts of land use (forestry, agriculture, urbanization) on water quality and aquatic habitats, with particular emphasis on riparian vegetation, stream temperatures, and hydrological processes. He leads trans-disciplinary projects involving collaborators from environmental engineering, ecology, and geology. Education: PhD in Hydrology (University of Washington), MSE and BSE in Environmental Engineering (Duke University). Affiliations: Institute for Resilient Infrastructure Studies (IRIS), River Basin Center, and Coweeta LTER. Research interests include interflow dynamics, nitrogen cycling in mountain catchments, and the effectiveness of best management practices for nonpoint source pollution. He has authored over 100 peer-reviewed articles and has been recognized for his contributions to environmental science through the Distinguished Professor title. Key labs/centers: Water Resources Area, IRIS, and Coweeta LTER. His work bridges basic hydrologic science with applied water resource management, addressing both rural and urban challenges such as bioenergy crop impacts, karst groundwater interactions, and urban stream restoration.

Nina Schwarzمشاهده پروفایل

استادیار

• Urban land-use change
• Urban ecosystem services
• Agent-based modelling
• +۷ مورد دیگر

Nina Schwarz is Assistant Professor of human-environment interactions in cities at the Department of Urban and Regional Planning and Geo-Information Management, ITC—University of Twente. Holding a Diploma in Environmental Sciences (University of Lüneburg, 2003) and a PhD in Social and Economic Sciences (University of Kassel, 2007), she spent a decade as senior scientist at the Helmholtz Centre for Environmental Research – UFZ before joining ITC. Her interdisciplinary research integrates urban land-use science, ecosystem-service evaluation and advanced modelling techniques—especially agent-based models—to explore sustainable urban development under global change. Research interests revolve around three interconnected themes: (i) urban land-use change —understanding how residential, commercial and green-space dynamics co-evolve; (ii) urban ecosystem services —quantifying both supply and demand of services such as local climate regulation, recreation and biodiversity; and (iii) behavioural modelling —formalising human decision-making to simulate policy scenarios ranging from slum-upgrading to vineyard management. She actively links these themes to UN Sustainable Development Goals, notably SDG 11 (Sustainable Cities) and SDG 15 (Life on Land). Recent publications (2022-2025) reveal a methodological breadth spanning citizen-science impact assessment in Suriname, cooling effects of urban water bodies in Chinese mega-cities, European wine-growers’ adaptive behaviour, and methodological advances in upscaling and validating agent-based land-use models. Across these studies, Schwarz consistently combines empirical field data, geospatial analytics and participatory approaches to produce policy-relevant insights for cities in both the Global North and South. She has (co-)authored >80 peer-reviewed works, accumulating c. 5 900 citations and an h-index of 28 (Scopus). While specific honours are not itemised in the supplied text, her sustained citation impact and invited contributions to major conferences (e.g., iEMSs 2020, IAHR 2025) underscore scientific recognition. Schwarz frequently engages with societal stakeholders: her projects have generated open datasets on urban green-space monitoring in Paramaribo, e-learning modules for Latin-American universities, and interactive dashboards for sustainable water management. Within ITC she contributes to capacity-building programmes for emerging economies, supervises graduate researchers and maintains active collaborations across Europe, Latin America, Africa and Asia. No explicit lists of PhD students or personal grants are provided in the current corpus, but her leadership of externally funded projects (e.g., citizen-science evaluation, vineyard decision-making database) indicates ongoing acquisition of research funding.

• Computer Vision
• Deep Learning
• Robotics
• +۷ مورد دیگر

Dr. João Henriques is a Research Fellow of the Royal Academy of Engineering (RAEng) at the Visual Geometry Group (VGG), University of Oxford. His research focuses on advancing computer vision, deep learning, and robotics, particularly in areas like 3D scene understanding, reinforcement learning, and multi-agent systems. He is renowned for developing the KCF and SiameseFC visual trackers, which won the VOT Challenge and are deployed in consumer hardware. His work spans 3D geometry, self-supervised learning, causal inference, and neuro-symbolic systems. Key contributions include methods for egocentric video analysis, unsupervised reconstruction, and robot navigation. He leads the VGG's research on neural feature fields, hierarchical scene understanding, and real-time 3D perception. Recent publications emphasize 3D-aware segmentation, universal place recognition, and neuro-symbolic world modeling for robotics. His research often bridges theoretical guarantees with practical applications, such as medical imaging and autonomous systems. Dr. Henriques collaborates with industry and academia on AI ethics, friendly AI, and interpretable learning. His lab hosts DPhil students advancing creative AI applications, such as generative models for gameplay design and LLM evaluations in real-world editorial workflows.

• Sports Medicine
• Exercise Physiology
• Orthopedic Rehabilitation
• +۳ مورد دیگر

Alesander Badiola Zabala is a Lecturer in the Department of Nursing and Physiotherapy at the Blanquerna School of Health Sciences, Universitat Ramon Llull. His research focuses on athlete performance optimization, sports injury prevention, and biomechanical analysis in physical activities. He has contributed to projects like the SAFE initiative (2014-2017 and 2017-2021), investigating health, physical activity, and sports-related interventions. His work integrates observational studies, clinical trials, and biomechanical assessments to address topics such as lumbar movement in swimmers, core training for rhythmic gymnasts, and ACL injury mechanisms. He has collaborated on multidisciplinary teams including experts in physiotherapy, sports science, and public health. Badiola Zabala's publications reflect a strong emphasis on applying evidence-based methods to improve athletic performance and reduce injury risks. His research aligns with UN Sustainable Development Goals related to health and well-being.

• Data Science
• Artificial Intelligence
• Machine Learning
• +۱۰ مورد دیگر

Professor Zoheir Sabeur is Professor of Data Science and Artificial Intelligence at Bournemouth University (2019–present) and Head of the Processes and Behaviour Understanding (PRO_BU) Research Group. He concurrently serves as Visiting Professor of Data Science at Colorado School of Mines (2017–present) and held the position of Science Director at the IT Innovation Centre, University of Southampton (2009–2019). Over three decades he has led more than 30 large-scale projects as Principal Investigator, securing over £12 million of funding from the European Commission, UKRI, DSTL, NERC, EPSRC and industry. Education PhD in Theoretical Physics, University of Glasgow (1990) MSc in Theoretical Physics, University of Glasgow (1986) BSc First-Class Honours in Physics and Applied Mathematics, Université d'Oran (1984) Advanced Leadership Programme, Ashridge Business School (2011) Research Interests Professor Sabeur’s research focuses on the fundamental theory and application of data science and artificial intelligence to understand complex human, natural and industrial processes and behaviours. His work spans multi-modal sensing, big-data analytics and machine-learning algorithms that extract actionable knowledge from large heterogeneous datasets. Application domains include: Healthcare: AI-driven diagnostics and prognostics for chronic diseases such as COPD, asthma and cancers through omics and phenotypic data integration. Environmental & Climate: Earth-observation analytics for wildlife migration and climate-change impact assessment using satellite data and global grid systems. Maritime & Cyber-Physical Security: Real-time risk assessment for shipping in extreme environments, smart-city safety and critical-infrastructure protection using computer vision and sensor fusion. Recent research has produced novel AI classifiers that analyse lung-auscultation audio signals to grade COPD severity, as well as digital-twin frameworks for detecting malicious behaviour in urban spaces. Scientific Awards & Recognition Fellow of the British Computer Society (FBCS) Fellow of the Institute of Marine Engineering, Science & Technology (FIMarEST) Chartered Engineer (CEng) and Chartered Physicist (CPhys) Multiple ORS Awards (1987, 1988, 1989) Grants & Doctoral Supervision Professor Sabeur has secured and led more than 40 funded projects since 1996, including recent grants such as INSIGHT (NIHR, 2024) and S4AllCities (H2020, 2020). He currently supervises three ongoing PhD students at Bournemouth University and has successfully graduated three others, covering topics from computational hydrodynamics to AI-based respiratory-disease analytics. He welcomes enquiries from prospective postgraduate researchers interested in data science, AI and interdisciplinary applications under schemes such as UKRI and Horizon Europe.

Jason Auمشاهده پروفایل

استادیار

• Cardiovascular physiology
• Vascular disease
• Blood flow dynamics
• +۳ مورد دیگر

Jason Au is an Assistant Professor at the University of Waterloo, specializing in vascular physiology and exercise-related cardiovascular dynamics. His research focuses on understanding complex blood flow patterns, arterial stiffness, and the impact of exercise on vascular health. He leads the Vascular Observations through Research on Technology and Exercise (VORTEX) Lab, integrating advanced imaging techniques like high-frame-rate ultrasound. Dr. Au holds a BSc and PhD in Kinesiology from McMaster University and a Postdoctoral Fellowship in Electrical & Computer Engineering at the University of Waterloo. His research interests include three main areas: 1) Complex blood flow and wall motion in arteries/veins, 2) Sedentary behavior/exercise exposure on vascular risk, and 3) Novel biomarkers of vascular disease progression. His work combines experimental models with computational approaches to study vascular health comprehensively. Key publications highlight innovations in ultrasound imaging (e.g., vector projectile imaging) and physiological mechanisms like arterial wall motion regulation. Dr. Au’s lab offers graduate supervision across MSc, PhD, and postdoctoral levels, with active projects exploring exercise countermeasures to vascular disease and technological advancements in medical imaging. Laboratory activities emphasize translational research, bridging basic science and clinical applications to improve cardiovascular health outcomes. Collaborations span engineering, physiology, and clinical domains to address unresolved questions in vascular biology.

• Coastal Geomorphology
• Marine Ecology
• Climate Change
• +۳ مورد دیگر

Tom Spencer is an Emeritus Professor of Coastal Dynamics and Director of the Cambridge Coastal Research Unit at the University of Cambridge's Department of Geography. He holds the title of Professorial Fellow at Magdalene College, where he previously served as Dean and Tutor for Graduate Students. His academic career spans over four decades, including roles as Senior Lecturer, Reader, and full Professor at Cambridge since 2016. Affiliations: Department of Geography, Cambridge Coastal Research Unit, Magdalene College Research Groups: Biogeography and Biogeomorphology, Geographies of Knowledge Spencer's research focuses on coastal dynamics, integrating geomorphology, ecology, and environmental science. Key areas include coral reef ecosystems, mangroves, sediment dynamics, and climate change impacts. His work emphasizes coastal resilience to rising sea levels and extreme events like storm surges. His career includes supervising MPhil students but has ceased taking new PhD candidates. Notable contributions include the Atlas of the Amirantes and collaborations on global coastal wetland models (DIVA). Publications span over 40 years, addressing topics like salt marsh stability, tidal dynamics, and energy-climate scenarios for India. His work bridges field observations, modeling, and policy implications for coastal management.

Lincoln Quillianمشاهده پروفایل

استاد

• Urban Sociology
• Social Stratification
• Race and Ethnicity
• +۶ مورد دیگر

Lincoln Quillian is Chair and Professor of Sociology at Northwestern University, holding the Gordon S. Fulcher Professorship of Decision-Making. He earned his Ph.D. from Harvard University in 1997 and previously taught at the University of Wisconsin. His research focuses on racial discrimination, residential segregation, urban sociology, and quantitative methods. Key projects include a meta-analysis of global hiring discrimination and analyses of residential mobility patterns. Education: Ph.D. in Sociology, Harvard University (1997) Research Interests: Racial discrimination, urban inequality, quantitative methods, and policy impacts on housing and labor markets. His work combines experimental and observational approaches to address systemic inequities. Recent publications examine persistent racial discrimination in hiring and housing across countries and time. He teaches advanced statistical methods and urban sociology courses. At Northwestern, Quillian chairs the IPR’s Neighborhoods and Community Safety program, emphasizing policy-relevant research. His findings inform debates on segregation, economic inequality, and anti-discrimination policies.

Marta Moitaمشاهده پروفایل

استاد پژوهشی

• Behavioral Neuroscience
• Fear Conditioning
• Animal Behavior
• +۵ مورد دیگر

Marta Moita is a Research Professor and Principal Investigator at the Champalimaud Foundation's Champalimaud Research center in Lisbon, Portugal, where she leads the Moita Lab in the Behavioral Neuroscience research group. Her laboratory investigates the neural and behavioral mechanisms underlying threat responses in animals, with particular focus on how contextual cues influence defensive decision-making between freezing and fleeing behaviors. Dr. Moita's research spans multiple levels of analysis, from collective behavior in social contexts to detailed neural mechanisms. Her lab employs diverse model organisms, particularly fruit flies ( Drosophila melanogaster ) and rats, to study how animals integrate social, spatial, and internal state information to guide threat responses. Key research areas include fear conditioning, emotional contagion, social safety cues, and the neural circuits underlying defensive behaviors. Her work often bridges behavioral neuroscience with evolutionary biology perspectives, examining how defensive strategies have been shaped by natural selection. The Moita Lab's publication record demonstrates a consistent focus on innovative approaches to understanding threat processing across species. Recent work has revealed how looming visual stimuli drive defensive responses in rats, how social cues can override threat levels, and the physiological consequences of threat exposure. The lab frequently publishes in high-impact journals including Current Biology , Nature Communications , and Science Reports , reflecting the significance of their contributions to the field. Dr. Moita actively mentors several PhD and Masters students, including Charlotte Rosher, Violetta La Franca, Mariana Franco, Matilde Henriques, and Mirjam Heinemans. Her laboratory team also includes postdoctoral researchers like Alexandre Leitão, Anna Hobbiss, and Ricardo Neto Silva, along with research technicians and lab administrators who support the diverse research projects.

Thomas Colasمشاهده پروفایل

پژوهشگر

• Theoretical Cosmology
• Open Quantum Systems
• Effective Field Theories
• +۳ مورد دیگر

Dr. Thomas Colas is a theoretical cosmologist at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), part of the Relativity and Gravitation research group. His work focuses on Open Effective Field Theories (OEFT) and non-unitary effects in the early universe, leveraging quantum information theory and non-equilibrium quantum field theory techniques. His research bridges cosmology with condensed matter physics and quantum optics to understand inflationary dynamics and quantum fluctuations' role in cosmic inhomogeneities. Key research themes include modeling uncertainties in early universe physics through OEFT, studying decoherence and dissipation in cosmological systems, and analyzing quantum-to-classical transitions during inflation. His work addresses foundational questions about how quantum mechanics operates in extreme cosmological contexts, such as the primordial vacuum's imprint on the cosmic microwave background and large-scale structures. Recent publications highlight advancements in OEFT frameworks for light-matter interactions, entropy calculations in curved spacetimes, and recoherence mechanisms in expanding universes. These contributions advance our understanding of how hidden sectors and unaccounted degrees of freedom influence cosmological observables. Dr. Colas maintains active collaborations through his research group and engages with experimental cosmology via data analysis tools like the SDSS/BOSS dataset, bridging theoretical insights with observational tests of early universe models.

Ariel Marcelo Goobarمشاهده پروفایل

استاد

• Cosmology
• Astrophysics
• Particle Physics
• +۴ مورد دیگر

Ariel Marcelo Goobar is a Professor of Physics at Stockholm University and holds leadership roles in multiple research initiatives. He is currently the Director of the EDUCATE Centre and the Oskar Klein Centre for Cosmoparticle Physics. His research focuses on observational cosmology, particularly using Type Ia supernovae to study cosmic expansion and dark energy. He is a key member of the Supernova Cosmology Project, which shared the 2007 Gruber Prize and the 2015 Breakthrough Prize in Fundamental Physics. Education: PhD in Particle Physics (1992, Stockholm University), M.Sc. in Physics (1986, Stockholm University), B.Sc. (1985, University of Sussex). Docent in Physics (1996). Research Interests: Gravitational lensing, supernova cosmology, dark energy, and gravitational waves. He leads projects like the Zwicky Transient Facility and the Large Synoptic Survey Telescope (LSST) Collaboration. Past work includes contributions to the AMANDA neutrino telescope and the DELPHI collaboration at CERN. Awards: Multiple prestigious honors include the Gustafsson Prize (2004), membership in the Swedish Academy of Sciences (2016), and recognition for his role in the Nobel Prize-winning discovery of cosmic acceleration. Labs/Teams: Active in the Oskar Klein Centre, EDUCATE Centre, and collaborations like the Supernova Cosmology Project. Current projects include studying gravitational wave electromagnetic counterparts and leading the GREAT research environment funded by the Swedish Research Council.

Angelo Cervoneمشاهده پروفایل

استاد

• Astrodynamics
• Space Propulsion Systems
• CubeSat Technology
• +۳ مورد دیگر

Angelo Cervone is a Professor at Delft University of Technology's Department of Astrodynamics & Space Missions within the Faculty of Aerospace Engineering. His research focuses on advanced propulsion systems, CubeSat technology, additive manufacturing for space applications, and space systems design. He leads projects like LUMIO, a CubeSat mission to monitor lunar meteoroid impacts, and has contributed to the development of green propellants and smart composite structures with embedded sensors. His work integrates cutting-edge manufacturing techniques like laser powder directed energy deposition with propulsion system optimization, emphasizing sustainable and robust space technologies. Cervone has authored over 130 publications and edited the book Adaptive On- and Off-Earth Environments , reflecting his expertise in off-world infrastructure and robotic production systems. He received the Rhizome Award (2021) for advancing autarkic systems in off-Earth habitat development. Key Projects: LUMIO CubeSat mission, Rhizome habitat system development, smart propellant tank design Research Themes: CubeSat propulsion, lunar exploration, additive manufacturing for space, in-situ resource utilization His articles highlight advancements in micro-thrusters, structural health monitoring via fiber optics, and autonomous navigation systems for deep-space CubeSats. Cervone collaborates globally on missions requiring innovative propulsion architectures and materials science breakthroughs.

Hazem U. Abdelhadyمشاهده پروفایل

پژوهشگر ارشد

• Coastal Processes
• Hydrodynamic Modeling
• Remote Sensing
• +۴ مورد دیگر

Hazem U. Abdelhady is a Postdoctoral Research Fellow at the University of Michigan's School for Environment and Sustainability (SEAS), jointly appointed with the Cooperative Institute for Great Lakes Research (CIGLR). He will join Texas A&M University's Department of Geography as an Assistant Professor in Fall 2025. His research focuses on coastal and hydrodynamic processes, leveraging machine learning, remote sensing, and physics-based modeling to address climate-driven challenges in lakes and coastal systems. Dr. Abdelhady holds a PhD from Purdue University in Hydraulics and Hydrology Engineering and Computational Engineering (2024), an MS in Irrigation and Hydraulics Engineering from Cairo University (2020), and a BS in Civil Engineering (2018). His postgraduate certificate in Geospatial Information Sciences underscores his expertise in spatial data analysis. His research interests include coastal hydrodynamics, physical limnology, and AI-driven environmental modeling. Key projects involve understanding shoreline changes in Lake Michigan, predicting ice cover dynamics, and developing tools for climate adaptation. The Aggie CIS Lab , launching at Texas A&M in Fall 2025, will further advance these efforts, bridging disciplines to enhance coastal resilience. Recent work highlights include studies on climate impacts on lake temperatures, machine learning applications for wave modeling, and automated shoreline detection algorithms. He actively recruits PhD students for Fall/Spring 2026 to investigate Great Lakes dynamics and resilience strategies. Collaborations span academic and governmental institutions, emphasizing interdisciplinary approaches to environmental challenges. His publications span high-impact journals and conferences, reflecting contributions to both theoretical and applied aspects of water resources engineering.