جست‌وجوی استاد و پژوهشگر

• Galaxy Evolution
• Gravitational Lensing
• Astronomical Sciences
• +۴ مورد دیگر

Tania Barone is a Postdoctoral Research Associate at Swinburne University of Technology’s School of Science, Computing and Emerging Technologies, focusing on galaxy evolution and gravitational lensing. Her research explores quiescent galaxies, circumgalactic medium dynamics, and the application of lensing techniques to study high-redshift systems. She is available to supervise Doctorate (PhD) candidates. Education: - PhD in Astronomy, Australian National University, Canberra, Australia. Research Interests: Ms. Barone’s work centers on galaxy evolution mechanisms, particularly the interplay between galactic winds, outflows, and the circumgalactic medium. She uses gravitational lensing to study quiescent galaxies and their gas distribution, extending her research to cosmic noon (z=1) and beyond. Her studies integrate observational data from telescopes like Keck, Hubble, and the Very Large Telescope to probe galaxy structure and mass distribution. Professional Activities: - Organized the JWST MasterClass 2024 and ASTRO3D 2022 Science Meeting. - Committee member of Swinburne’s Keck Time Allocation and PhD Admissions Panels. - Referee for journals including The Astrophysical Journal , Monthly Notices of the Royal Astronomical Society , and Astronomy & Astrophysics . Advising & Grants: - Supervised two PhD candidates: “Using gravitational lenses to map the diffuse gas around galaxies” (2025) “Galaxies and Their Circumgalactic Medium” (2022) - Collaborates on the ASTRO3D Centre of Excellence and the AGEL (Galaxy Evolution with Lenses) survey. Labs/Teams: Active contributor to the AGEL survey team and ASTRO3D, leveraging large-scale lensing systems to study galaxy evolution at high redshifts.

• Energy Efficiency
• Sustainable Architecture
• Urban Climate Resilience
• +۴ مورد دیگر

Dr. Niki Gaitani is an Associate Professor in Integrated Energy Design at the Norwegian University of Science and Technology (NTNU), specializing in energy-efficient and climate-resilient urban development. She leads the syn.ikia H2020 project on Sustainable Plus Energy Neighbourhoods and co-leads the Green Deal-funded ARV project on Climate Positive Circular Communities. Her work focuses on zero-emission concepts, building physics, and urban microclimate strategies across diverse climate zones. Research interests include integrated energy design frameworks, PEDs (Positive Energy Districts), and policy integration for climate-positive communities. She has contributed to over 70 publications, including peer-reviewed articles in journals like Building and Environment and Renewable and Sustainable Energy Reviews . Her projects involve collaboration with EU initiatives and international stakeholders to mainstream sustainable urban solutions. Niki teaches in NTNU's International MSc Program in Sustainable Architecture and advises on EU-funded projects like the IEA EBC Annex 83. She serves on the National Reference Group for Climate, Energy, and Mobility in Horizon Europe. Her recent work emphasizes cross-sectoral strategies for urban regeneration and community engagement in decarbonization efforts.

X. Ben Wuمشاهده پروفایل

استاد

• Landscape Ecology
• Ecology Education
• Savanna Ecosystems
• +۶ مورد دیگر

X. Ben Wu is a Professor in the Department of Ecology and Conservation Biology at Texas A&M University, concurrently serving as a Presidential Professor for Teaching Excellence. His research focuses on spatial ecology, pyric herbivory dynamics in savanna landscapes, and educational innovations in ecology pedagogy. Current projects include landscape biogeochemistry studies, terracette landscapes analysis, and integrating authentic scientific inquiry into undergraduate education. Education: B.S. Botany, Lanzhou University, China Ph.D. Ecology, University of Tennessee M.S. Management Science, University of Tennessee M.S. Ecology, University of Tennessee Teaching responsibilities include large-enrollment introductory ecology courses and graduate-level landscape analysis. Research emphasizes spatial patterns of vegetation change, fire-herbivore interactions, and habitat fragmentation. Recent work explores impacts of sea-level rise on coastal ecosystems and wildfire effects on rangeland biodiversity. Grants & Collaboration: Active in multi-institutional projects on habitat restoration, fire ecology, and educational technology. Collaborates with institutions like the USDA Agricultural Research Service and the Everglades Wetland Research Park. Labs/Teams: Leads a lab group conducting field and remote-sensing studies on savanna ecosystems and educational program development for science pedagogy.

Sourav Gargمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Robotics
• Deep Learning
• +۴ مورد دیگر

Dr. Sourav Garg is a Research Fellow at QUT's School of Electrical Engineering and Robotics, affiliated with the QUT Centre for Robotics and the Australian Centre for Robotic Vision (ACRV). He holds a PhD from QUT (2019) and specializes in robotic vision, with a focus on visual place recognition, scene understanding, and robot navigation. His research emphasizes practical applications, such as localization using visual semantics and addressing viewpoint and scene appearance challenges. Dr. Garg's work has been recognized with awards including the Executive Dean's Commendation for his thesis and the SAGE QUT Publication Prize. He has published extensively in top-tier venues like the International Journal of Robotics Research (IJRR), IEEE ICRA, and ECCV. His research has been featured in media outlets such as Brisbane Times and Engineers Australia. Education: PhD in Robotics from QUT (2019) Affiliations: QUT Centre for Robotics, ACRV Research Affiliate Research Highlights: Pioneered semantic-geometric approaches for place recognition, developed open-source tools like OpenSeqSLAM2.0, and explored multi-resolution and multi-scale fusion techniques for visual localization. His contributions span collaborations with government organizations and industry, focusing on applications in autonomous systems, drones, and indoor robots.

Laura Newburghمشاهده پروفایل

استادیار

• Astrophysics
• Cosmology
• Particle Physics
• +۳ مورد دیگر

Laura Newburgh is an Assistant Professor of Physics at Yale University, affiliated with the Department of Physics and Wright Lab. Her research focuses on experimental cosmology, including projects like the Canadian Hydrogen Intensity Mapping Experiment (CHIME), the Hydrogen Intensity Mapping and Real-time Analysis eXperiment (HIRAX), and the Simons Observatory. She specializes in observational studies of the Cosmic Microwave Background (CMB) and 21cm cosmology to probe Dark Energy, Dark Matter, and cosmic inflation. Education: Ph.D. in Physics from Columbia University (2010), postdoctoral fellowships at Princeton University and the University of Toronto. Current roles include leading the Newburgh Lab, which develops instruments for cosmological surveys. Awards include the NSF Career Award (2018) and collaborative prizes like the Buchalter Prize (2025) and Berkeley Prize (2021). Her work bridges hardware, software, and data analysis, emphasizing novel calibration methods (e.g., drone-based beam mapping). The Newburgh Lab also supports educational initiatives like the Pathways to Science program, fostering student engagement in radio astronomy.

Markus Perolaمشاهده پروفایل

پژوهشگر

• Biomedicine
• Genetic Epidemiology
• Population Health
• +۵ مورد دیگر

Markus Perola serves as a University Researcher at the University of Helsinki, holding dual roles as Supervisor for the Doctoral Programme in Biomedicine and the Doctoral Programme in Population Health. He maintains an active external position at THL (Finnish Institute for Health and Welfare) since 2001, demonstrating long-term commitment to national public health research. His research spans Biomedicine , Genetic Epidemiology , and Population Health , with particular focus on Genetic determinants of autoimmune diseases and diabetes Chronobiology and socioeconomic interactions Mitochondrial mechanisms in liver disease Large-scale biobank analytics (FinnGen) Electronic health record mining for clinical insights cutting-edge methodologies in precision medicine and population-scale data integration. Analysis of his 367 publications reveals dominant themes in genomic epidemiology and translational biomedicine , with recent work emphasizing AI-driven risk prediction (particularly for COVID-19 outcomes), mitochondrial pathways in chronic diseases, and fine-scale genetic ancestry mapping. His research increasingly integrates multi-omics data with real-world clinical records. His scientific leadership includes major EU-funded initiatives: B1MGplus (€10,420 funding) EU/PROPHET (€66,681 funding) PRIMUS privacy-preserving meta-learning project GoE: Genome of Europe initiative FinnGen biobank consortium Perola actively supervises doctoral candidates through two university programs while contributing to 34 media engagements that translate complex genomic findings for public understanding. His work demonstrates consistent translational impact from basic genetic mechanisms to clinical applications and public health policy.

• Electromagnetic Field Analysis
• Wireless Communication Systems
• Optimization Algorithms
• +۳ مورد دیگر

Pablo Luis López Espí is a Professor at the University of Alcalá, affiliated with the Signal Theory and Communications Department. He leads the Radiation and Sensing Group (RSG) and specializes in electromagnetic field analysis, antenna design, optimization algorithms, and biomedical engineering applications. His research integrates theoretical models with practical systems engineering approaches. He earned his Ph.D. in 2008 with a thesis on optimizing algorithms for water quality indicators, developing associated measurement and communication systems. His academic career includes contributions to wireless power transfer, environmental monitoring, and medical sensing technologies. Key research areas include electromagnetic exposure mapping, miniaturized antennas, and systems engineering for biomedical devices. Notable projects involve smartphone-based EMF assessment and wireless energy harvesting for medical implants. His work bridges telecommunications, environmental science, and healthcare through interdisciplinary approaches. Publications span over 15 years, focusing on antenna optimization, EMF safety, and biomimetic techniques. Awards and grants are not explicitly mentioned in the provided data.

Toshi Nishimuraمشاهده پروفایل

عضو هیئت علمی

• Space Physics
• Aurora Research
• Solar wind-Magnetosphere-Ionosphere interaction
• +۳ مورد دیگر

Toshi Nishimura is a Research Associate Professor at Boston University's Department of Electrical & Computer Engineering and a core member of the Center for Space Physics. His primary research focuses on auroral phenomena, solar-terrestrial interactions, and magnetosphere-ionosphere-thermosphere (MIT) coupling mechanisms. He holds a PhD from Tohoku University (2009) and has held appointments at UCLA and Nagoya University before joining BU in 2016. His work examines auroral substorms, STEVE (Strong Thermal Emission Velocity Enhancement), proton auroras, and the dynamics of magnetospheric energy transfer. Notable contributions include discovering new energy transport pathways from Earth's dayside to nightside magnetosphere, elucidating fine-scale auroral structures via 4K imaging, and co-editing the book Cross-Scale Coupling and Energy Transfer in the Magnetosphere-Ionosphere-Thermosphere System (Elsevier, 2021). Awards include the Macelwane Medal (AGU, 2016), Young Scientist Prize from Japan's Minister of Education (2016), and multiple recognition for student research (2007-2015). His research leverages satellite data (THEMIS, DMSP), ground-based imagers, and citizen science observations to bridge micro-scale plasma processes with global space weather impacts. Key Projects: Auroral substorm triggering mechanisms, STEVE phenomenon analysis, proton aurora-SAR arc interactions, and mesoscale ionospheric flow studies. Collaborations: UCLA, Virginia Tech, Nagoya University, and international space agencies. Funding: NSF, NASA, U.S. Air Force Office of Scientific Research.

• Renewable Energy
• Wind Energy
• Solar Energy
• +۷ مورد دیگر

Muyiwa Samuel Adaramola is a Professor in Renewable Energy at the Norwegian University of Life Sciences (NMBU), Faculty of Environmental Sciences and Natural Resource Management, Ås, Norway. He also holds a Professor II position at Makerere University Business School (MUBS), Uganda, and maintains active visiting professorships at institutions in Ghana, Ethiopia, and Nigeria. His academic leadership spans international research, education, and capacity-building initiatives in sustainable energy. BSc in Mechanical Engineering, Obafemi Awolowo University, Nigeria MSc in Mechanical Engineering, University of Ibadan, Nigeria PhD in Environmental Engineering, University of Saskatchewan, Canada His research focuses on renewable energy systems, including wind and solar resource assessment, hybrid energy systems, energy storage, and the socio-economic dimensions of energy access in developing regions. His work bridges engineering and policy, emphasizing sustainable development and climate resilience. The breadth of his recent publications reflects a strong focus on solar photovoltaic performance in sub-Saharan climates, wind energy modeling, hybrid mini-grids, and the socio-technical aspects of energy access. His research consistently addresses real-world challenges in Africa, with applications in Ghana, Ethiopia, Uganda, and Nigeria. He has received no explicitly named scientific awards in the provided text, but his leadership in multiple multi-million-dollar international projects underscores significant recognition and impact. Professor Adaramola has supervised over 30 PhD students, both as main supervisor and co-supervisor, at NMBU and partner universities across Africa. He leads major externally funded projects, including an NOK 91 million institutional collaboration between NMBU, Hawassa University, and Mekelle University in Ethiopia, and other initiatives in Kenya and Ghana focused on education, research, and innovation in sustainable energy. His research is conducted through collaborative networks involving universities in Canada, Ethiopia, Ghana, Kenya, Nigeria, and Uganda, often integrated within large-scale capacity-building and development projects.

• Ecology
• Environmental Impact Assessment
• Strategic Environmental Assessment
• +۵ مورد دیگر

Irene Petrosillo is an Associate Professor of Ecology at the University of Salento, where she also holds national qualification as a Full Professor in the same discipline. She is affiliated with the Department of Biological and Environmental Sciences and Technologies, located at the Ecotekne Center in Lecce, Italy. Her research and teaching focus on critical environmental issues including ecosystem services, sustainability, and landscape ecology. Dr. Petrosillo earned her Degree in Biological Sciences with a focus on Ecology from the University of Lecce in 2000, followed by a PhD in Basic Ecology from the same institution in 2005. She progressed from Research Fellow (2005-2011) to Researcher (2011-2015), and then to Associate Professor (2015-present) at the University of Salento. In October 2018, she obtained national qualification as a Full Professor of Ecology. Her research interests span multiple dimensions of environmental science, with particular emphasis on mapping ecosystem services, adaptive management, greenways, multi-scale disturbance patterns, GIS applications, and environmental perception. She teaches courses on Environmental Impact Assessment, Strategic Environmental Assessment, Environmental Certifications, Green Economy, and related topics across various degree programs including Environmental Sciences, Archaeological Heritage, and Law. Dr. Petrosillo has made significant contributions to the scientific community through editorial roles, currently serving as Associate Editor for Ecological Indicators and Editor-in-Chief for the Environmental Sustainability and Applications section of Sustainability. Previously, she was Associate Editor for the Journal of Environmental Management (2018-2023). She is also an active member of several scientific associations, including the International Society of Landscape Ecology where she served as Treasurer from 2015-2023. 2024-2025: Associate Editor, Ecological Indicators (Elsevier) 2024-present: Editor-in-Chief, Environmental Sustainability and Applications section, Sustainability (MDPI) 2019-present: Member, Editorial Board, Landscape online 2019-present: Member, Editorial Board, Sustainability 2009-present: Member, Editorial Board, Reviews in Ecological Economics (Springer) 2015-2023: Treasurer, International Society of Landscape Ecology (IALE) Her scholarly work demonstrates a consistent focus on sustainability science, with numerous publications examining the intersection of ecological processes, human activities, and environmental management across multiple spatial and temporal scales. Her research has practical applications in urban planning, agricultural management, and conservation policy.

• Remote Sensing
• Geoinformatics
• Environmental Monitoring
• +۳ مورد دیگر

Prof. Katharina Anders holds the Professorship for Remote Sensing Applications at the Technical University of Munich (TUM), within the TUM School of Engineering and Design. Her research focuses on methodological advancements in remote sensing data analysis, particularly for observing Earth surface dynamics in contexts like natural hazards, climate change, and human-environment interactions. She earned her PhD in Geoinformatics from Heidelberg University, with a research stay at TU Delft. Key contributions include 4D observation techniques for geo-environmental monitoring and automated change detection systems using LiDAR and photogrammetry. Education: Studied Geography, Computer Science, and Environmental Physics at Heidelberg University Doctorate in Geoinformatics (cum laude) from Heidelberg University Research stay at TU Delft Research interests emphasize cross-scale analysis of landscape dynamics, with a focus on integrating high-resolution 3D/4D time series and machine learning for environmental monitoring. Her work bridges remote sensing, geoinformatics, and environmental science, addressing challenges like coastal erosion, permafrost thaw, and infrastructure safety. Her award-winning papers and projects include advancements in LiDAR-based change detection, fusion of multisource data, and open educational resources like the E-TRAINEE platform for time series analysis. Recent publications highlight innovations in 4D object segmentation, UAV photogrammetry, and snow cover dynamics tracking. Notable awards include the Baden-Württemberg Foundation Fellowship (2022) and the ISPRS Geospatial Week Best Paper Award (2019). Her research has been applied to diverse case studies, from Arctic permafrost monitoring to Tyrolean rockfall prevention.

Boris Jutziمشاهده پروفایل

استاد

• Active Optical Sensors
• Computer Vision
• Laser Scanning
• +۷ مورد دیگر

Prof. Dr. Boris Jutzi is a leading academic in photogrammetry and remote sensing, currently serving as Professor at Karlsruhe Institute of Technology (KIT) and acting head of the Chair of Photogrammetry and Remote Sensing at Technical University of Munich (TUM). His research focuses on active optical sensors, computer vision, laser scanning, and 3D reconstruction techniques. He holds a diploma in electrical engineering from University of Kaiserslautern, a PhD from TUM, and venia legendi from KIT. Affiliations: KIT Institute of Photogrammetry and Remote Sensing, TUM Chair of Photogrammetry and Remote Sensing Education: Diploma in Electrical Engineering (University of Kaiserslautern) Doctorate (TUM) Venia Legendi (KIT) His research interests include: Neural Radiance Fields (NeRF) for 3D reconstruction LiDAR technology and applications UAV-based remote sensing Geospatial data fusion Computer vision in environmental monitoring Awards: Faculty Teaching Award (2020) Best Paper Awards (2019, 2016, 2014, 2006) His work emphasizes novel sensor integration and automated scene analysis , with contributions to urban and environmental 3D modeling. Current projects include underwater scene reconstruction via NeRFs and large-scale digital twin datasets (e.g., TUM2TWIN).

• Neuroimaging
• MRI Segmentation
• Brain Structure Analysis
• +۵ مورد دیگر

Dr. Pierre-Louis Bazin is a Researcher in the Department of Neurophysics at the Max Planck Institute for Human Cognitive and Brain Sciences. He holds a PhD from INRIA Rocquencourt (France) and conducted postdoctoral research at Brown University and Johns Hopkins University in the US. His work focuses on advanced neuroimaging techniques, including high-resolution MRI parcellation, quantitative MRI, and subcortical structure analysis. Key projects involve developing automated segmentation tools (e.g., Nighres), exploring cerebellar and subcortical anatomy, and investigating neurodegenerative markers using multi-modal approaches. Education 1995-1998: Electrical Engineering Diploma, SUPELEC (France) 1998-2001: PhD in Computer Vision & Graphics, INRIA Rocquencourt (France) 2001-2003: Postdoc in Computer Vision & Archaeology, Brown University (USA) 2003-2006: Postdoc in Neuroimaging, Johns Hopkins University (USA) Research Interests High-field MRI (7T+) applications in structural and functional brain mapping Development of neuroimaging software tools (e.g., Nighres) Subcortical and cerebellar morphometry in health and disease Quantitative MRI techniques for histology correlation Connectivity analysis in psychiatric disorders (e.g., schizophrenia) Awards Royal Netherlands Academy of Arts and Sciences (KNAW) membership (2020, 2024) Grants & Labs : Directs the Neurophysics lab at MPI-CBS. Active in large-scale projects like the Amsterdam Ultra-high field adult lifespan database (AHEAD). Collaborates on tools like MP2RAGEME for multi-parametric MRI. Labs/Teams : Leads neuroimaging method development and clinical translation efforts in Leipzig, Germany.

• Urban Design
• Architecture
• Sustainable Urban Development
• +۱۲ مورد دیگر

Professor Marcus White is a distinguished academic and practitioner in architecture and urban design at Swinburne University of Technology, where he serves as Professor in the School of Design and Architecture. He co-directs the architectural firm Harrison and White Pty Ltd and leads the Spatio-Temporal Research Urban Design and Architecture Lab (STRUDAL) at Swinburne. His work bridges academia and professional practice, focusing on sustainable urban development, digital design, and healthcare environments. Education: PhD in Spatial Information Architecture, RMIT University (2009) Professor White’s research centers on innovative urban design solutions using computational methods such as parametric modeling, agent-based systems, virtual and augmented reality, and machine learning. His work addresses critical urban challenges including walkability, noise pollution, aging populations, and equitable access to public space. He also pioneers patient-centered design in stroke rehabilitation, integrating clinical insights with architectural innovation through Living Lab frameworks and VR-based co-design. His recent publications span topics such as pedestrian safety in metro stations, traffic noise annoyance mapping, AI-based SDG classification, and age-friendly urban design. These works reflect a consistent trend toward interdisciplinary, human-centered, and data-driven approaches to shaping healthier, more sustainable cities. Scientific Awards: National Citation for Outstanding Contributions to Student Learning Venice Biennale selection (2010, 2025) Victorian Architecture Medal (2018) Australian Institute of Architects Urban Design and Jackson Educational Awards (2018) European Healthcare Design Award (2022) RAIA Haddon Travelling Scholarship (2002) AIA National Emerging Architect Award Professor White actively supervises PhD students and has secured major grants from the Australian Research Council (ARC), The Florey Institute, and iMOVE Australia. His leadership in projects like NOVELL (Neuroscience Optimised Virtual Environments Living Lab) demonstrates a strong commitment to translating research into real-world impact. He collaborates extensively with clinicians, urban planners, and technologists to advance evidence-based design across sectors. Labs and Teams: Spatio-Temporal Research Urban Design and Architecture Lab (STRUDAL) NOVELL (Neuroscience Optimised Virtual Environments Living Lab) Collaborations with The Florey Institute of Neuroscience and Mental Health ARC Training Centre for Next-Gen Architectural Manufacturing

Sven Langeمشاهده پروفایل

پژوهشگر

• Sensor Fusion
• Simultaneous Localization and Mapping (SLAM)
• Mobile Robotics
• +۵ مورد دیگر

Dr.-Ing. Sven Lange is a post-doctoral researcher at Technische Universität Chemnitz (TU Chemnitz), affiliated with the Chair of Automation Technology and the Chair of Neurorobotics. His work spans research, education, and project management in robotics. Research interests include: Factor-graph optimization for SLAM and sensor fusion Nonlinear least squares methods in robotics Robust navigation for autonomous systems GNSS signal processing in urban environments Educational robot design for undergraduate courses Integration of multi-modal error models in state estimation Key publication trends focus on factor graphs, outlier mitigation, and sensor fusion techniques for UAVs, GNSS, and indoor navigation. His work emphasizes parameter-free algorithms and open-source implementations. Projects include DLR SpaceBot Cup robotics, smartLoc GNSS navigation, and TUC-Bot educational platforms. He has contributed to sensor fusion frameworks for Ceres and GTSAM solvers.