جست‌وجوی استاد و پژوهشگر

Stefan Leuteneggerمشاهده پروفایل

استادیار

• Mobile Robotics
• SLAM (Simultaneous Localization and Mapping)
• Computer Vision
• +۷ مورد دیگر

Prof. Stefan Leutenegger is a tenure-track Assistant Professor at Technische Universität München (TUM), leading the Machine Learning for Robotics group within the TUM School of Computation, Information, and Technology. Previously, he held roles as Senior Lecturer (2018–2021) and Lecturer (2014–2018) at Imperial College London's Dyson Robotics Lab, where he founded the Smart Robotics Lab. He earned his PhD (2014) from ETH Zurich, focusing on autonomous solar-powered aircraft navigation, and holds BSc (2006) and MSc (2009) in Mechanical Engineering from ETH Zurich. His research centers on mobile robotics, particularly enabling robots (e.g., drones) to perceive and navigate complex environments using machine learning and sensor data fusion. Key focus areas include SLAM, event-based vision, 3D reconstruction, and autonomous exploration. He has pioneered algorithms like BRISK (2011), OKVIS (2014), and ElasticFusion (2016), advancing real-time robotics perception. Notable Awards: Imperial College President's Award (2018), Best ECCV Paper (2016), ETH Medal for Dissertations (2015). Labs: TUM's Machine Learning for Robotics Group, Imperial's Smart Robotics Lab. Publications: Over 100 papers, including seminal works in CVPR, ECCV, and Robotics: Science and Systems. Current projects include DigiForests (forest inventory via robotics), aerial additive manufacturing, and object-centric semantic mapping. His work bridges theory and practice, with applications in autonomous drones, construction robotics, and human-robot interaction.

Yin Baoمشاهده پروفایل

استادیار

• Robotics and Controls
• Agricultural Automation
• Precision Farming
• +۴ مورد دیگر

Yin Bao is an Assistant Professor in Plant and Soil Sciences and Mechanical Engineering at the University of Delaware since 2023, previously holding the same position at Auburn University's Department of Biosystems Engineering (2019-2023). He holds a BE in Mechanical Engineering from China Agricultural University (2012) and a PhD in Agricultural and Biosystems Engineering from Iowa State University (2018), followed by postdoctoral research there until 2019. His research focuses on automation technology for agriculture and forestry, leveraging robotics, machine learning, and sensing systems to develop tools for precision farming and plant phenotyping. Key areas include unmanned systems (UGVs/UAVs), spectral imaging, and AI-driven predictive models for crop and livestock management. Recent work emphasizes automated inventory systems for forest nurseries, UAV-based vegetation assessment, and machine learning applications in crop yield prediction. His publications span robotic guidance systems, root segmentation in X-ray CT scans, and equine gait analysis using deep learning. Notable projects include the Robotic Assay for Drought (RoAD) system and the 'smart canopy' sorghum initiative. Collaborative efforts involve integrating multifrequency microwave sensing and electronic nose technologies for crop quality analysis.

Willy Tinnerمشاهده پروفایل

استاد

• Paleoecology
• Climate Change Impacts
• Vegetation Dynamics
• +۳ مورد دیگر

Prof. Willy Tinner is a leading academic at the University of Bern, serving as Head of the Paleoecology section and Vice Executive Director within the Institute of Plant Sciences. His research focuses on reconstructing past environmental changes through pollen analysis, vegetation dynamics, and human-ecosystem interactions. Tinner's work integrates paleoecological data with climatology, archaeology, and conservation biology to understand long-term ecological processes. His expertise spans Holocene climate impacts, Neolithic land use patterns, and biodiversity conservation challenges in alpine and Mediterranean ecosystems. Notable research includes studies on Fagus-Quercus forest coexistence in Italy, Abies alba climatic adaptations, and human-driven vegetation changes across Europe. Tinner collaborates internationally, contributing to projects in Greece, Ukraine, and the Balkans. He has published extensively on topics such as fire regimes, lake sediment archives, and the ecological consequences of ancient agricultural practices. His leadership positions reflect his role in shaping Switzerland's ecological research priorities through institutions like WSL Cadenazzo.

Jacob Bukoskiمشاهده پروفایل

استادیار

• Forest Carbon Sequestration
• Carbon Markets
• Biogeochemistry
• +۳ مورد دیگر

Jacob Bukoski is Assistant Professor and Director of the Forests and Climate Change graduate certificate at Oregon State University's College of Forestry. His research examines forest carbon dynamics, climate mitigation, and international forestry. Education includes: PhD in Environmental Science from UC Berkeley MS in Environmental Science from Yale University BA in Environmental Studies from UNC Chapel Hill Research focuses on carbon accumulation in forests, mangrove conservation, and climate policy integration. Teaches interdisciplinary courses on social-ecological systems and forest carbon analysis. Recent publications quantify carbon storage in global plantations and mangrove ecosystems. Current projects investigate albedo impacts on reforestation protocols and coastal conservation synergies. Directs graduate studies in Forests and Climate Change.

Matthew D. Pottsمشاهده پروفایل

استاد

• Carbon Removal
• Forest Management
• Biodiversity Conservation
• +۳ مورد دیگر

Matthew D. Potts is the S.J. Hall Chair in Forest Economics and Professor at UC Berkeley's Department of Environmental Science, Policy, & Management. He also serves as Associate Director for Sustainable Development at the Blum Center for Developing Economies. With interdisciplinary training in mathematics, ecology, and economics, his research focuses on nature-based climate solutions and ecosystem service co-production. Research addresses carbon sequestration through forest management, biodiversity conservation, land use planning, and sustainable development in tropical ecosystems. Recent work examines cost-effectiveness of reforestation, climate-driven migration patterns, and plantation carbon modeling. Publications demonstrate strong focus on quantitative analysis of land-use impacts, with methodological innovations in remote sensing applications and spatial modeling for carbon accounting. Awards include recognition for young faculty research and leadership in international environmental assessments. Leads the Potts Research Group, mentoring graduate students working on tropical ecology, restoration, and climate adaptation projects.

• Environmental Impact Assessment
• Life Cycle Assessment (LCA)
• Industrial Ecology
• +۴ مورد دیگر

Prof. Dr. Stefanie Hellweg serves as a Full Professor for Ecological Systems Design at the ETH Zürich , Department of Civil, Environmental and Geomatic Engineering. She is Deputy Head of the Institute of Environmental Engineering and leads groundbreaking research at the intersection of industrial ecology, life cycle assessment, and circular economy systems. PhD in Environmental Engineering (ETH Zürich, 2000) Industrial Engineering Degree (Karlsruhe University, 1996) Her research develops advanced methodologies for environmental impact assessment of products and technologies, focusing on: Life Cycle Assessment (LCA) with correlated uncertainty modeling Circular economy implementation in chemical and energy sectors Industrial symbiosis optimization for heat and nutrient flows Urban wastewater systems redesign for resource recovery Chemical pollution analysis in plastic materials Key publication trends reveal expertise in: Hybrid wastewater treatment systems Energy-efficient greenhouse cultivation Exergy analysis for sustainability metrics Machine learning applications in environmental modeling Policy-relevant industrial ecology studies She actively participates in global sustainability initiatives as: President of the International Society of Industrial Ecology (ISIE) Member of UN Environment's International Resource Panel Editorial board member for leading environmental journals

Jianguo Wangمشاهده پروفایل

استاد

• Multisensor Integration
• GNSS Technology
• Precision Engineering Surveying
• +۵ مورد دیگر

Dr. Jianguo Wang is a Professor in the Department of Earth and Space Science Engineering at York University's Lassonde School of Engineering. He has been a faculty member since 2006 and is a founding member of the Lassonde School. With over 35 years of academic and industrial experience, he specializes in multisensor integration, GNSS technology, and precision engineering surveying. He holds a Dr.-Ing. in Geomatics Engineering from Universität der Bundeswehr München, Germany, alongside Bachelor’s and Master’s degrees from Wuhan Technical University of Surveying and Mapping (WTUSM). His research focuses on advanced data processing methodologies, including Kalman filtering, error analysis, and LiDAR systems. He has authored/co-authored over 60 publications, including textbooks like Error Theory and Foundation of Surveying Adjustment and Foundation of Geodesy . He is a Fellow of Engineers Canada and licensed as a Professional Engineer in Ontario. Education: Dr.-Ing., Geomatics Engineering, Universität der Bundeswehr München (Germany) M.Sc., Surveying Engineering, Wuhan Technical University of Surveying and Mapping B.Sc., Surveying Engineering, Wuhan Technical University of Surveying and Mapping Dr. Wang teaches courses such as Advanced Optimization and Applications , GNSS , and Global Geophysics and Geodesy . He leads the Earth Observation Laboratory (PSE 432), focusing on multisensor integration for navigation and positioning. His work explores innovative solutions for sensor calibration, data fusion, and geospatial applications. Grants & Labs: Active in lab-based research with collaborators like Baoxin Hu, his laboratory integrates GNSS, IMUs, LiDAR, and cameras for precision navigation. His recent work addresses challenges in sensor error calibration, LiDAR point cloud accuracy, and Kalman filter enhancements.

Gregory Paradisمشاهده پروفایل

استادیار

• Sustainable Forest Management
• Operations Research
• Forest Economics
• +۷ مورد دیگر

Gregory Paradis is an Assistant Professor in the Department of Forest Resources Management at the University of British Columbia (UBC) Faculty of Forestry. His research focuses on sustainable forest management, integrating operations research, mathematical optimization, and systems modeling to address complex interactions between ecosystems, industries, and society. He works with the FRESH Lab and collaborates with the Integrated Remote Sensing Studio, emphasizing ecological and economic integration in forest planning. Sustainable Forest Management Operations Research Forest Economics Data Science Risk Assessment GIS-based Methods His research spans forest inventory optimization, climate change adaptation strategies, wildfire risk modeling, and decision support systems for invasive species. He develops computational frameworks to enhance wood supply planning, carbon management, and ecological resilience. Recent work includes machine learning applications for fire safety in timber structures and automated road planning tools for wildlife conservation. Paradis’s publications highlight trends in applying optimization methods to sustainable forestry, with a focus on biodiversity, climate adaptation, and value chain innovation. He advocates for interdisciplinary approaches that bridge silviculture, industrial engineering, and data science to tackle emerging challenges in forest ecosystems. As an educator, he seeks motivated students with quantitative and creative problem-solving skills. His lab collaborates on remote sensing integration, risk assessment models, and policy-relevant forest management strategies, ensuring plans account for uncertainties like insect infestations or windthrow events.

Bruño Fragaمشاهده پروفایل

استادیار

• Computational Fluid Dynamics (CFD)
• Turbulent and multiphase flows
• Indoor air quality
• +۵ مورد دیگر

Bruño Fraga is an Assistant Professor in the Department of Civil Engineering at the University of Birmingham, part of the School of Engineering. He specializes in Computational Fluid Dynamics (CFD) with a focus on turbulent and multiphase flows, particularly in applications like indoor air quality, water treatment, and airborne pathogen transport. His research group develops models such as Multiflow3D, addressing challenges in multiphase flow dynamics and environmental engineering. Education: MEng in Environmental Engineering (University of Santiago de Compostela, 1st class honors), MSc in Applied Math and Numerical Simulation (University of A Coruña), PhD in Civil Engineering (Universities of A Coruña and Chalmers). Research Interests: CFD modeling, bubble-induced turbulence, indoor air quality, water treatment technologies, and multiphase flow dynamics. Dr. Fraga leads major projects such as Fusion Forest (£1m, UKRI) and the IAQ-EMS initiative (£1m, Met Office), focusing on indoor air quality and pathogen transmission modeling. His work includes collaborations with organizations like Deltares Institute and Severn Trent, addressing wastewater treatment and environmental challenges. He is co-leader of the Fluids Research Group and the Water Technology stream at the University of Birmingham’s Water Centre. Scientific Awards: National Outstanding Graduate Prize (2011). Advising & Grants: Supervises graduate students in CFD and multiphase flow research. Oversees grants totaling over £2.1M, including fusion forest and buildair projects. Focuses on translating CFD expertise into real-world solutions for public health and environmental sustainability. Labs & Teams: Leads the Multiflow3D development team and collaborates with the Fluids Research Group and Water Technology stream.

Matthew Brookhouseمشاهده پروفایل

مدرس ارشد

• Plant physiology
• Sub-alpine ecology
• Dendrochronology
• +۲ مورد دیگر

Dr. Matthew Brookhouse is a Senior Lecturer at the Fenner School of Environment & Society, part of the Australian National University's Institute for Climate, Energy & Disaster Solutions. With a PhD in Dendroclimatology from ANU, he specializes in using forest structural complexity and tree-ring analysis to understand climate interactions and ecological responses in Australian subalpine environments. Research Focus: Sub-alpine ecology, Dendrochronology, CO2 responsiveness in eucalypt species Teaching: First-year research methods with emphasis on statistical application, advanced modeling and field botany Projects: Leading collaborative snow-gum dieback research and dendrochronological monitoring initiatives His publications span 2006-2025 with recent emphasis on machine learning applications for forest monitoring, tropical tree-ring chronologies for climate change, and climate sensitivity in Australian alpine ecosystems. Key collaborations include institutions like Australian Nuclear Science and Technology Organisation and University of Canberra researchers. Current projects focus on snow-gum woodland dieback mechanisms, high-resolution dendrometric monitoring, and integrating dendrochronology with environmental policy frameworks. He maintains active supervision of research students and contributes to both undergraduate and postgraduate curriculum development.

• Statistics
• Optimization
• Machine Learning
• +۳ مورد دیگر

Andrew Li is an Associate Professor of Operations Research at Carnegie Mellon University's Tepper School of Business since 2024, previously serving as Assistant Professor since 2018. His research bridges statistics, optimization, and machine learning with applications to healthcare operations and retail management. Current teaching: Optimization, Business Analytics Capstone, and Topics in Optimization and Statistics PhD from MIT's Operations Research Center (2018), BS in Operations Research/Applied Mathematics from Columbia University (2012) Research Focus: Dr. Li develops data-driven decision frameworks for complex systems. Key areas include: Experience-based learning models with fairness constraints (organ allocation) Anomaly detection in low-rank matrices (retail inventory accuracy) Nanoparticle-based diagnostic systems for CAD and Alzheimer's Nonstationary demand forecasting in supply chains Publication Trends: Recent work combines bandit algorithms with healthcare applications (split liver transplants, CAD detection) and retail operations (inventory accuracy). Theoretical contributions include regret-optimal policies and entrywise anomaly detection guarantees. Scientific Honors: INFORMS Nicholson Award (2018) INFORMS Pierskalla Award (2021) NSF CAREER Award (2023) Professional Leadership: Active in INFORMS and CMU committees including MBA Analytics Curriculum, Thompson Award, and ENAiBLE AI-driven retail collaborative co-founder since 2021.

Hisham Zerriffiمشاهده پروفایل

دانشیار

• Environmental Geography
• Forestry
• Biomass Energy
• +۸ مورد دیگر

Hisham Zerriffi is an Associate Professor at the University of British Columbia (UBC) in the Department of Forest Resources Management, Faculty of Forestry. He also serves as Associate Dean for Equity, Diversity, and Inclusion. His research intersects technology, energy, and the environment, focusing on rural areas in the Global South. Affiliation: BioProducts Institute Affiliation: Clean Energy Research Centre Affiliation: Institute for Resources, Environment and Sustainability His research examines institutional factors in technology diffusion, household energy choices, and welfare impacts of energy use. Current projects include analyzing forest density's ecological impact, clean cooking transitions in India, and decentralized energy systems. Recent publications address just transitions, biomass energy economics, and policy misalignments in Indigenous communities. He has authored works on climate change mitigation via forest carbon credits and rural electrification strategies. Scientific Award: Ivan Head South/North Research Chair As a PhD supervisor, he has guided Natalie Payer on urban energy poverty in the U.S. He collaborates on interdisciplinary grants and leads the Energy Resources, Development and Environment Lab (ERDELab).

• Machine Learning
• Data Mining
• High-Performance Computing
• +۵ مورد دیگر

Prof. Dr. Fabian Gieseke is a Professor and Chair of Machine Learning and Data Engineering at the University of Münster. He holds a PhD in Computer Science from Carl von Ossietzky University of Oldenburg and a dual degree in Mathematics and Computer Science from the University of Münster. His research focuses on Machine Learning, High-Performance Computing, and their applications in Geosciences, Smart Cities, and Astrophysics. Education: PhD in Computer Science (2012), Carl von Ossietzky University of Oldenburg University studies in Mathematics and Computer Science (2006–2011), University of Münster Research Interests: Data Mining and Machine Learning High-Performance Computing & Distributed Systems Deep Learning Applications in Environmental Science and Astrophysics Geospatial Data Analysis using Satellite Imagery Publications Trends: His recent work emphasizes large-scale environmental monitoring via deep learning, including canopy height estimation, forest biomass prediction, and national-scale tree counting. He also explores interactive systems for geospatial data retrieval and optimization of machine learning models for resource-constrained environments. Advising & Grants: Supervised over 30 theses on topics like satellite image analysis, deep learning on microcontrollers, and data marketplaces for smart grids. Active in securing grants for interdisciplinary projects combining AI with Earth observation. Labs/Teams: Leads the Machine Learning and Data Engineering group at the University of Münster, focusing on scalable AI solutions for real-world challenges in science and industry.

Peter H. Verburgمشاهده پروفایل

استاد

• Land Use Analysis
• Spatial Modelling
• Ecosystem Services
• +۴ مورد دیگر

Peter H. Verburg is a Full Professor of Environmental Spatial Analysis at the Institute for Environmental Studies (IVM) , Vrije Universiteit Amsterdam, leading the Environmental Geography group. He has held this position since 2010 and previously served as an Assistant Professor at Wageningen University (2003–2010) and Senior Researcher at Alterra (2009–2010). His research focuses on land use analysis, spatial modeling, and interdisciplinary environmental studies. Education: PhD in Land Use Modelling, Wageningen University (2000) MSc in Physical Geography, Wageningen University (1996) Key Research Interests: Dr. Verburg is renowned for developing the globally used CLUE land-use modeling framework. His work integrates methods from social sciences, econometrics, and earth sciences to analyze land-use patterns and policies. He actively contributes to EU projects on sustainable urban planning, climate adaptation, and ecosystem services. Current roles include co-Editor-in-Chief of Landscape and Urban Planning , member of the Earth Commission, and Science-Policy Interface member of UNCCD. Professional Activities: Former Chair of Global Land Programme (Future Earth) Lead researcher in multiple EU initiatives (e.g., BrightspotsCSA, TURAS) Organized workshops on land-use modeling and ecosystem services Awards: Highly Cited Researcher (2018, Web of Science top 1%) Research and Collaboration: He has published over 415 peer-reviewed articles and supervised 38 PhD theses. His projects span land-use modeling in China, Central Asia, and the Mekong region. Collaborations include UN agencies, European research networks, and global sustainability initiatives.

• Zoology
• Entomology
• Applied Entomology
• +۱۳ مورد دیگر

Teresa Bonacci is an Associate Professor in the Department of Biology, Ecology and Earth Sciences at the University of Calabria (UNICAL), where she conducts research and teaches in zoology with a focus on entomology. She is also the Scientific Director of the Zoology Museum within the university's museum system (SIMU). Her academic affiliations include membership in the PhD School of Life Science and Technology and leadership roles in degree program coordination. Laurea in Natural Sciences, University of Calabria PhD in Animal Biology, University of Calabria Socrates/Erasmus Scholarship, University of Kiel, Germany Research Grant (Assegno di ricerca), SSD BIO/05, University of Calabria National Scientific Qualification for Full Professor (I fascia) Her research spans applied and medico-veterinary entomology, forensic entomology, and conservation biology. She investigates saproxylic beetles (e.g., Cucujus spp.), pollinators (bees, flies, beetles), and insect behavior, especially in forensic contexts such as post-mortem interval estimation and myiasis. Her work integrates taxonomy, morphology, ecology, and chemical signaling, often in collaboration with chemists, legal experts, and conservation agencies. She has published extensively in high-impact journals, with over 80 scientific publications and strong citation metrics. The most recent articles reflect a multidisciplinary trend, combining taxonomy, forensic science, biodiversity monitoring, and veterinary entomology. Topics include the discovery of new insect species in Italy, the role of beetles in decomposition, insect damage in cultural heritage, and myiasis in domestic and wild animals. These works highlight her expertise in both fundamental zoological research and practical applications in forensics and conservation. Scientific Contributions: Over 80 scientific publications Scopus h-index: 15; Google Scholar h-index: 20 Key researcher in saproxylic beetle conservation Pioneer in forensic entomology studies in Southern Italy Active collaborator with legal and medical institutions She supervises numerous PhD and master's students and has directed over 90 theses. Her teaching responsibilities include courses in Zoology, Entomology, Forensic Entomology, and Medical-Veterinary Entomology. She is deeply involved in student mentorship, thesis supervision, and academic service, including examination boards and curriculum development. She also leads biodiversity monitoring projects in Calabrian national parks and has contributed to the development of machine learning tools for insect identification. Her research team collaborates with national and international institutions, including the CNR, University of Milan, and forensic pathology units. She leads projects on bioindicators, insect-plant interactions, and the impact of climate change on mountain species. The Zoology Museum under her direction supports both research and public outreach.