جست‌وجوی استاد و پژوهشگر

Emily Linesمشاهده پروفایل

پژوهشگر ارشد

• Forest ecology
• Remote sensing
• Data science
• +۱۳ مورد دیگر

Emily Lines is a forest ecologist affiliated with the University of Cambridge, Department of Geography. She specializes in remote sensing (ground to satellite) and data science techniques to study forest structure, function, and dynamics. Her research addresses ecological and conservation questions, ranging from fundamental forest processes to applied challenges like climate change, deforestation, and forest management effectiveness. Department of Geography, University of Cambridge DLA Supervisor, Cambridge NERC Doctoral Landscape Awards Collaborator with geomorphologists, computer scientists, geneticists, and paleoecologists Her group employs fieldwork using terrestrial and drone laser scanning, photogrammetry, and traditional forest mensuration. Methodologically, she integrates deep learning, computer vision, and computational modeling to analyze forests at multiple scales. Priority topics include biodiversity assessment, structural dynamics, competitive interactions, dieback/disease monitoring, microclimate effects, radiative transfer, and regeneration patterns. Key tools: Terrestrial LiDAR, TLS validation, PlotToSat, FOR-species20K dataset, Deadtrees.earth database Recent work spans 3D remote sensing benchmarking, AI applications in forest monitoring, and climate change impacts on European forests Her publications highlight forest-landscape interactions, scalability of data science methods, and cross-disciplinary integration of ecological and computational approaches. She advocates for environmental sustainability in AI applications through initiatives like the C-CLEAR Doctoral Training Programme.

Yadvinder Malhiمشاهده پروفایل

استاد

• Ecosystem Science
• Climate Change Impact on Terrestrial Ecosystems
• Tropical Forest Ecology
• +۳ مورد دیگر

Professor Yadvinder Malhi is a leading ecosystem scientist at the University of Oxford , holding the Professor of Ecosystem Science chair at the Environmental Change Institute (ECI) within the School of Geography and the Environment. He also serves as Jackson Senior Research Fellow at Oriel College , Director of the Leverhulme Centre for Nature Recovery , and President of the British Ecological Society . Active researcher in tropical and temperate forest dynamics Advises UK and Scottish governments on nature restoration Global research across Amazon, Andes, Africa, and UK Research Focus: Malhi investigates how terrestrial ecosystems respond to global atmospheric changes, with emphasis on tropical forests , climate change adaptation , and nature-based solutions . His work integrates field physiology, remote sensing, and ecosystem modeling, notably through the GEM and RAINFOR networks. Recent Trends: Recent publications highlight cross-disciplinary approaches combining terrestrial laser scanning , trait-based ecology , and social-ecological analysis . Research spans from Arctic tundra to tropical coral reefs , with growing emphasis on UK nature recovery and global carbon cycling . Scientific Recognition: 2025: Ramon Margalef Prize in Ecology 2023: Fellow of the Royal Society (FRS) 2022: British Ecological Society President-Elect Academic Leadership: As Programme Leader of the Ecosystems & Biodiversity Research group and member of the ECI , Malhi mentors 24 graduate students while directing large-scale initiatives like the Wytham Woods monitoring station. His lab develops innovative tools for ecosystem assessment through projects like GEM Field Manual and TLS2trees algorithms.

Justin Leidwangerمشاهده پروفایل

دانشیار

• Maritime Archaeology
• Mediterranean Archaeology
• Roman and Late Antique Archaeology
• +۵ مورد دیگر

Justin Leidwanger is an Associate Professor of Classics at Stanford University with a courtesy appointment in Oceans at the Doerr School of Sustainability, specializing in Mediterranean maritime archaeology through fieldwork in southeast Sicily and southwest Turkey. His educational background includes: Ph.D. in Art and Archaeology of the Mediterranean World from the University of Pennsylvania (2011) M.A. in Nautical Archaeology and Anthropology from Texas A&M University B.A. in History & Classical Studies from Loyola University Chicago Leidwanger's research centers on Mediterranean mobilities, maritime communities, and exchange systems from the Roman period through late antiquity, using shipwrecks and port sites to analyze socioeconomic dynamics. His work integrates ceramic analysis, port network studies, and digital heritage methods to explore ancient technologies of distribution and long-term maritime interactions. Recent publications reveal consistent focus on Roman/late antique maritime economies with growing emphasis on digital documentation (3D modeling, GIS) and contemporary relevance through migration studies. Key trends include transport amphorae standardization, underwater survey methodologies, and the intersection of ancient maritime heritage with modern migration patterns in the central Mediterranean. Leidwanger actively advises students in classical archaeology while leading major field projects including the Marzamemi 'church wreck' investigation (2013-2019) and ongoing 'U Mari research in Sicily. His work combines underwater survey, community-based archaeology, and heritage activism addressing both ancient tuna fishing traditions (mattanza) and contemporary migration routes. He directs the Maritime Archaeology and Digital Heritage Lab (MEDLab) at Stanford's Archaeology Center, which supports advanced digital modeling (photogrammetry, laser scanning, network analysis) and ceramic analysis (petrography, pXRF, computational morphometrics) for field research and museum collaborations.

Doug L. Jamesمشاهده پروفایل

استاد

• Computer Graphics
• Computer Sound Synthesis
• Physically Based Modeling and Animation
• +۳ مورد دیگر

Doug L. James is a Full Professor of Computer Science at Stanford University since 2015, following roles as Associate Professor at Cornell University (2006-2015) and Assistant Professor at Carnegie Mellon University (2002-2006). He holds a PhD in Applied Mathematics from the University of British Columbia (2001), alongside earlier degrees from the same institution and the University of Western Ontario. His research focuses on computer graphics, sound synthesis, and physically-based modeling, with notable contributions to fluid simulation, cloth animation, and medical modeling. Key achievements include the 2012 Technical Achievement Award from the Academy of Motion Picture Arts and Sciences for 'Wavelet Turbulence,' and the 2013 Katayanagi Prize. He serves as a consulting Senior Research Scientist at Pixar Animation Studios and has led roles like Technical Papers Chair at SIGGRAPH 2015. His work integrates physics-based principles with interactive systems, emphasizing real-time applications and data-driven methods. Research interests span sound synthesis for animations (e.g., cloth, water, impact sounds), deformable models for medical simulation, and tools like 'svMorph' for virtual surgery planning. His publications reflect a blend of algorithmic innovation and practical applications in film, gaming, and healthcare.

• Environmental Policy
• Conservation Biology
• Human-Wildlife Conflict
• +۷ مورد دیگر

Camilla Sandström is a Professor at Umeå University's Department of Political Science, Faculty of Social Sciences. Her research focuses on environmental policy, conservation, and governance, with a particular emphasis on human-wildlife conflict, forest governance, and adaptive management. She leads projects exploring biosphere reserves, climate policy equity, and the application of machine learning in environmental analysis. Research Interests: Conservation biology, sustainable development, political ecology, and the governance of socio-ecological systems. Key Projects: Contested Spaces: Bridging Protection and Development in a Globalizing World (VR-funded). GOVFORBIO: Governance Pathways for Sustainable Forest Use (Formas-funded). Her work bridges theory and practice, contributing to international guidelines like the IUCN's Human-Wildlife Conflict & Coexistence Framework. She collaborates with interdisciplinary teams to address challenges in multi-use landscapes, such as lion conservation in Tanzania and forest conflicts in Sweden. Publications highlight innovative methodologies, including machine learning for media analysis and spatial ecology for wildlife connectivity. She emphasizes participatory approaches to ensure equitable policy outcomes in climate and biodiversity crises.

George Vosselmanمشاهده پروفایل

استاد

• Photogrammetry
• Remote Sensing
• Laser Scanning
• +۷ مورد دیگر

George Vosselman is a Full Professor at the University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), specializing in Geo-Information Extraction with Sensor Systems. Educated with honours at Delft University of Technology (1986) and PhD in Photogrammetry from Rheinische Friedrich Wilhelms University of Bonn (1991), he has held academic roles at the University of Stuttgart, University of Washington, and Delft University of Technology (1993–2004). Since 2004, he has been a key figure at ITC, serving as department head (2012–2018, 2023–). Education: Delft University of Technology (BSc with honours, 1986), Rheinische Friedrich Wilhelms University of Bonn (PhD with honours, 1991) His research focuses on leveraging sensor technology advancements for large-scale geo-information production. Key expertise includes quality analysis of laser altimetry data, point cloud segmentation/classification, 3D building/road modeling, and model-driven imagery analysis. He has published over 220 papers and co-edited the textbook Airborne and Terrestrial Laser Scanning (2010). Recent work integrates deep learning with geospatial data, addressing semantic segmentation, visual question answering, and drone-based mapping. Recent publications (2025–2023) highlight trends in deep learning for remote sensing , including multimodal question answering benchmarks (HRVQA), vectorized building extraction (RoIPoly), latent diffusion for road modeling (LDPoly), and drone obstacle avoidance systems. His work bridges photogrammetry , computer vision , and robotic mapping , with applications in urban planning, disaster management, and informal settlement monitoring. Scientific Awards : Hansa Luftbild (1993), ISPRS Otto von Gruber (2000), Schwidefsky Medal (2012), Karl Kraus Medal (2012), ASPRS Fairchild Award (2015), ISPRS Fellow (2020) As an educator, Vosselman has taught photogrammetry, remote sensing, and laser scanning at Delft University of Technology and globally. He chaired the ITC Examination Board (2015–2023) and modernized geo-information education in Asia/Africa. His software for point cloud processing is commercialized in Europe, and he currently leads ISPRS working groups on point cloud methodologies. Labs/teams include the Earth Observation Science Chair Group at ITC, collaborating on UAV-based datasets (UAVid, UAVPal) and indoor laser scanning systems. Recent activities (2025) involve invited talks on pulse matching limitations in laser scanning and deep learning for point cloud classification.

Bikram Banerjeeمشاهده پروفایل

مدرس

• Remote Sensing
• Geospatial Science
• Environmental Monitoring
• +۳ مورد دیگر

Dr. Bikram Banerjee is a Lecturer in Remote Sensing and Geospatial Science at the University of Southern Queensland, affiliated with the School of Surveying and Built Environment. He holds a PhD from UNSW, MTech from IIRS NRSA, and BTech from West Bengal University of Technology. His research focuses on geospatial technologies, machine learning applications in environmental monitoring, and precision agriculture. He is associated with the Centre for Agricultural Engineering, Centre for Crop Health, and Centre for Sustainable Agricultural Systems. Key research interests include UAV-based remote sensing for mine spoil characterization, hyperspectral imaging for crop phenotyping, and integrating IoT/ML for agricultural solutions. His work bridges environmental science, geotechnical engineering, and agricultural technology. Recent publications explore coal spoil analysis, mine safety automation, and vegetation health monitoring using advanced sensor technologies. Dr. Banerjee has supervised doctoral research on mobile laser scanning for underground mines, UAV-LiDAR applications, and proximal sensing for crop phenotyping. His research outputs have garnered over 2,327 views and 1,160 downloads, reflecting significant impact in geospatial and agricultural domains. He actively contributes to interdisciplinary projects addressing environmental sustainability and resource management challenges.

Craig Hancockمشاهده پروفایل

استاد پژوهشی

• Geospatial Engineering
• Structural Health Monitoring
• Global Navigation Satellite Systems (GNSS)
• +۳ مورد دیگر

Dr. Craig Hancock is a Research Professor in Geospatial Engineering with 15 years of research experience in Surveying and Geodesy. His expertise spans GNSS error mitigation, structural monitoring, and geospatial techniques for digital construction. He has supervised 10 PhD students and published over 80 academic papers. Education: BSc and PhD in Surveying/Geomatics Key Projects: Principal Investigator for projects on GNSS error mitigation, structural health monitoring, and marine economy technology. His research focuses on three core areas: GNSS error categorization and mitigation (particularly ionospheric effects), structural and environmental change monitoring, and geospatial data acquisition for BIM and digital construction. Recent work includes improving 3D modeling accuracy, UAV-based GNSS spoofing detection, and BIM-enabled facility management in healthcare infrastructure. His articles explore topics like sensor optimization, structural dynamics, and geospatial data fusion. Grants include £150k for bridge deformation studies and £9k for ionospheric error analysis. He actively contributes to teaching and enterprise initiatives, integrating geospatial technologies with industry needs.

Amrita Basakمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Metal 3D Printing
• Laser Powder Bed Fusion
• +۶ مورد دیگر

Amrita Basak serves as an Associate Professor in the Department of Mechanical Engineering within the College of Engineering at Pennsylvania State University. Her research focuses on advancing metal additive manufacturing technologies, particularly for gas turbine applications. She maintains her laboratory in 233 Reber Building at University Park, PA. Her primary research interests center on laser-based additive manufacturing processes including Laser Powder Bed Fusion (L-PBF) and Laser Directed Energy Deposition (LDED). Specific expertise spans nickel-based superalloys, melt pool dynamics, microstructure-property relationships, fatigue behavior of additively manufactured components, and AI-driven process optimization. Her work addresses critical challenges in thermal distortion control, surface roughness effects, and high-temperature performance of turbine components. Analysis of her recent publications reveals strong emphasis on integrating machine learning with experimental methods to optimize additive manufacturing processes. Key trends include Gaussian process regression for melt pool modeling, Bayesian optimization for thermal management, reinforcement learning for parameter control, and multi-fidelity modeling approaches. Her research bridges fundamental materials science with practical engineering applications in aerospace and energy sectors. Scientific Awards: NSF CAREER Award (2024) for gas turbine research DARPA Young Faculty Award (2022) for multi-laser additive manufacturing Materials Research Institute Roy Award (2023) Professor Basak actively mentors graduate students including R. Pal, N. Menon, and A. Kushwaha who appear as first authors on multiple publications. Her research is supported by significant grants including NSF CAREER funding, Office of Naval Research grants (2024), and DARPA funding. Current projects include 'On-Demand 3D Printing of Food-Grade Biopolymer-Encapsulated Ferrate(VI) for Individualized and Equitable Access to Drinking Water' and metal additive manufacturing research for gas turbine hot section components.

David Andrewsمشاهده پروفایل

استاد

• Embedded Systems
• Computer Architecture
• Reconfigurable Computing
• +۵ مورد دیگر

David Andrews is a Professor in the Department of Computer Science and Computer Engineering at the University of Arkansas College of Engineering. He holds the Mullins Endowed Chair of Computer Engineering and directs research through the Computer Systems Design Laboratory (CSDL). His work bridges hardware and software systems with a focus on practical implementation. His educational background includes: Ph.D. in Computer Engineering from Syracuse University Computer Engineer Degree from Syracuse University M.S.E.E. from University of Missouri-Columbia B.S.E.E. from University of Missouri-Columbia Andrews' research centers on embedded systems architectures from a holistic systems perspective, examining interactions between programming languages, runtime systems, and hardware components. His work spans reconfigurable computing, FPGA-based acceleration, and hybrid CPU/FPGA systems. A key contribution is the HybridThreads (hthreads) platform, which abstracts hardware/software boundaries to enable thread-based programming for heterogeneous systems. Recent publications demonstrate his focus on accelerating machine learning workloads on FPGAs, particularly transformer models and attention mechanisms, while addressing resource scheduling and real-time constraints. His publication trends reveal a consistent evolution from foundational work in parallel and distributed embedded systems toward specialized hardware acceleration for modern AI workloads. The research increasingly focuses on memory-centric architectures, computational overlays, and practical implementations for real-time applications across diverse domains including cultural heritage documentation and cybersecurity. As director of the Computer Systems Design Laboratory, Andrews leads interdisciplinary research in real-time embedded systems, reconfigurable computing, multiprocessor systems on chip, and hardware/software co-design. The lab integrates knowledge into undergraduate and graduate curricula covering digital design, computer organization, embedded systems, and systems modeling. CSDL supports a collaborative environment with undergraduate, master's, and PhD students working alongside visiting researchers from global institutions.

• Geochemistry
• Isotope Geochemistry
• Environmental Geology
• +۴ مورد دیگر

Dr. Diego Fernandez is a Research Professor in the Department of Geology & Geophysics at the University of Utah, specializing in isotope geochemistry, mineral resource characterization, and environmental dust dynamics. His work spans four decades of academic appointments (2006–present) with expertise in strontium isotope applications for migration tracking, critical mineral assessments, and dust pollution health impacts. PhD in Thermodynamics, University of Buenos Aires (1992) Research Professor (2021–present) Research Associate Professor (2014–2021) Research Assistant Professor (2006–2014) Research focuses include: strontium isotope geochemistry for reconstructing animal migration and geological processes; critical mineral characterization of coal-bearing strata for rare earth element extraction; environmental health impacts of dust from the Great Salt Lake playa; dust source apportionment in urban settings; and magmatic system petrochronology of the Alta Stock region. Recent publications (2024–2025) demonstrate methodological innovations in LA-ICP-MS analysis, Bayesian isotope turnover modeling, and dust-metal contamination frameworks. His studies document elevated health risks from thallium, arsenic, and lead in urban dust, while proposing solutions through dust suppression and international emission reductions. 2024 Distinguished Educator Award, University of Utah College of Science Current grants include USGS-funded terminal lake geochemistry, NSF projects on critical zone dust dynamics, and Bering Sea fisheries baseline studies Teaching activities include directing SRI Research courses (2024) and mentoring interdisciplinary projects on environmental isotopes. Collaborators include institutions across North America and Europe, with fieldwork in Utah, Alaska, Wyoming, and Kenya.

Michael L. Madiganمشاهده پروفایل

استاد

• Human Factors Engineering
• Ergonomics
• Occupational Biomechanics
• +۶ مورد دیگر

Michael L. Madigan is a Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech. His research focuses on human factors engineering, biomechanics, and ergonomics, particularly addressing issues related to slips, trips, falls, and musculoskeletal disorders. He leads the Madigan Biomechanics Group, which investigates the biomechanics of human motion and neuromuscular control to enhance occupational safety and elderly health. Education: Ph.D., Biomedical Engineering, Virginia Commonwealth University, 2001 M.S., Bioengineering, Texas A&M University, 1996 B.S., Bioengineering, Texas A&M University, 1994 Research Interests: Obesity’s impact on mobility, aging-related biomechanics, workplace ergonomics, and biomechanical interventions for fall prevention. His work combines experimental and computational methods to develop preventive measures like exercise interventions and ergonomic designs. Professional Roles: Editor-in-Chief, Journal of Applied Biomechanics (2017–present) Formerly Editor, Medicine and Science in Sports and Exercise (2013–2017) Secretary, American Society of Biomechanics (2009–2012) Awards: Kevin P. Granata Faculty Fellow (2013–2014) Virginia Tech College of Engineering Certificate of Teaching Excellence (2014) Finalist for International Society of Biomechanics Clinical Award (2005) Advising & Grants: Advised over 20 doctoral and undergraduate students since 2007. His grants support studies on obesity-related falls, exoskeleton design, and biomechanical modeling. Collaborates with the Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences. Labs/Teams: Director of the Madigan Biomechanics Group and core member of the Occupational Ergonomics and Biomechanics Laboratories. Active in developing smart prosthetics and wearable technologies for injury prevention.

Grzegorz Kiarszysمشاهده پروفایل

استادیار

• Archaeological Methodology
• Conflict Archaeology
• Landscape Archaeology
• +۵ مورد دیگر

Dr. Grzegorz Kiarszys serves as Assistant Professor in the Department of Archaeology within the Institute of History at the University of Szczecin, a position he has held since October 2011. His academic journey began with archaeology studies at Adam Mickiewicz University in Poznań (1999-2004), where he earned his Master's degree under Prof. Danuta Minta-Tworzowska, followed by doctoral research completed in 2010 under Prof. Włodzimierz Rączkowski. His educational background includes: Master of Archaeology, Adam Mickiewicz University (2004) PhD in History, Adam Mickiewicz University (2010) Kiarszys specializes in archaeological methodology with emphasis on conflict archaeology, landscape archaeology, and advanced geospatial technologies. His research integrates social theories with non-invasive methods including GIS, airborne laser scanning (LiDAR), aerial photography, and photogrammetry to analyze spatial organization and landscape transformation. His work particularly focuses on medieval and post-conflict landscapes in Poland, examining how cultural and political forces shape spatial perception and material heritage. This interdisciplinary approach bridges traditional archaeology with digital humanities and heritage conservation. Analysis of his 15 most recent publications reveals consistent focus on landscape palimpsests, aerial perspective limitations, and conflict-related heritage. Key trends include methodological innovation in point cloud analysis, critical examination of cartographic representations, and theoretical exploration of time-space relationships in archaeological contexts. His work increasingly addresses Cold War heritage and post-WWII landscape transformations. Scientific recognition includes: Individual award from the Minister of Science and Higher Education (2016) for monograph on Górowski County defensive settlements His grant leadership demonstrates significant research impact: the 2014-2015 Ministry of Culture-funded project on defensive settlements in Górowski County established new methodological frameworks, while the 2018-2019 project on Soviet nuclear warhead storage sites pioneers archaeological perspectives on Cold War heritage. These projects involve international collaborations with researchers from Serbia, UK, and Ireland, often incorporating student fieldwork components. Kiarszys actively participates in rescue excavations across Poland and has contributed to major infrastructure projects including Copenhagen Metro archaeological surveys. Though not explicitly mentioning dedicated labs, his work integrates with student research groups including the Student Archaeological Club and Media and Civilization Research Club at the University of Szczecin, where he supervises field methodology and spatial analysis components.

• Spatial Modeling
• Temporal Modeling
• Semantic Modeling
• +۷ مورد دیگر

Prof. Thomas H. Kolbe serves as Chair of Geoinformatics at the Technical University of Munich (TUM), where he leads research in spatial, temporal, and semantic modeling of urban environments. His work focuses on developing foundational frameworks for 3D/4D city models, digital twins, and smart city applications through international standardization efforts including CityGML and IndoorGML. His research spans virtual city modeling, urban system simulation, and GIS integration with emerging technologies. Current projects emphasize AI-driven urban scenario generation, semantic streetspace modeling, and IoT integration in digital twin ecosystems. Recent publications demonstrate strong interdisciplinary connections between computer vision, urban planning, and geospatial data science, with particular emphasis on practical implementations of 3D city models for sustainability challenges. Prof. Kolbe actively contributes to professional organizations including the Round Table GIS eV (as Chairman since 2013) and the Munich Data Science Institute (as core member since 2021). His leadership extends to the Leonhard Obermeyer Center for digital methods in the built environment and the Hans Eisenmann Forum for agricultural sciences. His work bridges theoretical geoinformatics with practical urban applications through numerous collaborative projects with municipal governments and industry partners.

Simon Mochrieمشاهده پروفایل

استاد

• Biophysics
• Condensed Matter Physics
• Single Molecule Biophysics
• +۷ مورد دیگر

Simon Mochrie is a Professor of Physics and Applied Physics at Yale University, affiliated with the Department of Physics within the Faculty of Arts and Sciences. His research focuses on experimental biophysics and condensed matter physics, with emphasis on chromatin dynamics, nuclear mechanics, and super-resolution microscopy. He holds a Ph.D. from MIT (1985) and has pioneered techniques such as optical tweezers and STED microscopy to study biological systems like the ubiquitin-proteasome system in yeast. Current projects include single-molecule measurements on nucleosomes and developing novel imaging methods like LIVE-PAINT for live-cell super-resolution imaging. Educations: Ph.D., Physics, MIT (1985) Research interests center on understanding how chromatin organization influences nuclear mechanics, with studies on heterochromatin condensation, cohesin-driven loop extrusion, and chromatin-envelope interactions. His lab develops advanced microscopy techniques to visualize protein dynamics and subnuclear structures in real time. Recent work explores diffusive states of membrane proteins and the role of phase separation in heterochromatin mechanics. His articles demonstrate a focus on interdisciplinary approaches, combining biophysical experimentation with computational modeling to elucidate fundamental mechanisms in cell biology and soft matter physics. Notable themes include the interplay between chromatin structure and nuclear stiffness, loop extrusion dynamics, and quantitative analysis of intrachromosomal contacts. Teaching contributions include developing introductory physics courses tailored for life sciences students, emphasizing applications in biology and medicine. He actively participates in STEM education initiatives, including collaborative research networks for graduate students in physical biology. The Mochrie Lab also emphasizes instrumentation innovation, such as building fast-scanning STED microscopes and reversible peptide-based imaging systems.