جست‌وجوی استاد و پژوهشگر

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.

Gerhard Müllerمشاهده پروفایل

استاد

• Structural Dynamics
• Vibroacoustics
• Dynamic Soil-Structure Interaction
• +۵ مورد دیگر

Prof. Dr.-Ing. Gerhard Müller is a Full Professor at the Chair of Structural Mechanics within the TUM School of Engineering and Design at Technical University of Munich (TUM). Since 2004, he has held this distinguished position, and since 2014, he has served as Executive Vice President for Academic and Student Affairs at TUM. His research focuses on structural dynamics and vibroacoustics, with specific expertise in dynamic soil-structure interaction, sound radiation analysis, and seismic risk assessment. Professorship: Structural Mechanics University: Technical University of Munich School: TUM School of Engineering and Design Department: Chair of Structural Mechanics in Civil Engineering Prof. Müller's research spans multiple domains, including: Structural Dynamics : Examining building and vehicle vibrations, seismic soil-structure interaction, and advanced model order reduction techniques Vibroacoustics : Investigating sound radiation from vibrating structures and developing acoustic metamaterials for noise control Computational Methods : Pioneering hybrid deterministic-statistical approaches, Wave Based Methods (WBM) for saturated elastodynamic structures, and parametric model order reduction His recent publications demonstrate expertise in: Wave propagation analysis in poroelastic media Bayesian parameter updating for structural models Acoustic metamaterials for vibration control Advanced numerical methods for seismic risk assessment Hybrid ITM-FEM approaches for soil-structure interaction Energy flow analysis in timber structures Awarded the Spindler Prize in 1984 , Prof. Müller also holds significant academic leadership roles: President of European Association for Structural Dynamics (EASD) Chairman of Bavarian-French University Center (BayFrance) Active member of ASIIN accreditation agency and Bavarian Chamber of Engineers Previously served as Dean of Civil Engineering and Surveying at TUM (2010-2014) He leads the Structural Dynamic Lab (formerly Vibroacoustics Lab) and has developed interactive web apps for engineering education. His work bridges theoretical advancements with practical applications in construction acoustics, transportation noise control, and geothermal energy infrastructure analysis.

SangHyung Ahnمشاهده پروفایل

مدرس

• Construction Process Modelling
• Building Information Modelling (BIM)
• Agent-Based Simulation
• +۳ مورد دیگر

SangHyung Ahn is a Lecturer at the School of Civil Engineering , University of Queensland (UQ), since 2017. He joined UQ as a postdoctoral research fellow in 2015 after earning his PhD in Civil Engineering (Construction Engineering and Management) from Purdue University, USA. Prior to his academic career, he worked as an assistant manager at Hyundai Engineering and Construction Co., Ltd. (2003-2007) and holds an MBA in international business from Hanyang University and a B.Sc in Civil Engineering from Korea University. Research Focus: Construction process modelling with virtual reality, decision support systems for construction, automation of data-driven simulation modelling, sensor-based operations analysis, and integration of Building Information Modelling (BIM). Teaching: Coordinates undergraduate courses Introduction to Project Management (CIVL3510) and Construction Engineering Management (CIVL4522) . Research Trends: His recent publications highlight interdisciplinary work in transportation engineering, structural design, and AI-driven simulation tools. Key themes include application of machine learning to car-following models, drone-based vehicle identification, and optimization of public transport systems using agent-based simulations. Supervision: Available for supervision, with completed supervision of PhD and Master’s theses on topics such as BIM-LCA integration, pedestrian trajectory analysis, and AI-driven driving behavior models.

• Seismic Engineering
• Structural Engineering
• Reinforced Concrete Structures
• +۳ مورد دیگر

Paolo Riva is a Full Professor of Structural Engineering at the Department of Design and Technologies of the Faculty of Engineering, University of Bergamo. He has served as Dean of the Faculty of Engineering (2009-2012) and Director of the Department of Engineering at the same university since 2012. His expertise lies in seismic engineering and structural analysis of reinforced concrete structures. Professor Riva graduated in Civil Engineering from Politecnico di Milano in 1984 and earned his Ph.D. in Civil Engineering from the University of Waterloo, Canada in 1987. He began his academic career as a researcher at the University of Brescia (1991-2001), became Associate Professor there in 2001, and joined the University of Bergamo as Full Professor in 2005. His primary research interests focus on the seismic behavior of reinforced concrete structures, particularly structural walls and prefabricated structures. He also specializes in seismic retrofitting of historic buildings, nonlinear analysis of reinforced concrete structures, and fire behavior of reinforced concrete structures. His work bridges theoretical analysis with practical applications for enhancing structural safety in earthquake-prone regions. Professor Riva's recent publications demonstrate a strong focus on seismic damage assessment, structural retrofitting solutions, and sustainability in structural engineering. His research often addresses practical challenges in post-earthquake scenarios, including damage identification through advanced monitoring techniques and development of innovative retrofit strategies for existing structures. A notable trend is his increasing emphasis on integrating sustainability principles into seismic retrofitting practices. Seismic Reliability of Structures (WP3 - Reluis), 2022, 24 months Structural vulnerability models for natural hazards and industrial cascading effects, 2024, 33 months Sustainable Approaches For Earthquake Resistant_REhabilitation solutions for the BUILT environment, 2024, 15 months Professor Riva has directed all these research projects as Scientific Director. His expertise has been recognized through appointments to post-seismic emergency commissions following major earthquakes in Italy, where he provided critical guidance on intervention methods for seismic repairs and improvements for public and monumental buildings.

• Structural Health Monitoring
• Machine Learning in Civil Engineering
• Earthquake Engineering
• +۹ مورد دیگر

Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.

• Sustainable Agriculture
• Agroforestry Systems
• Non-Timber Forest Products
• +۶ مورد دیگر

Professor Dietrich Darr is a faculty member at Hochschule Weihenstephan-Triesdorf (HSWT), specifically within the Department of Agriculture, Food, and Nutrition. His academic journey includes previous professorship at Hochschule Rhein-Waal (2012-2024) and visiting positions at Universidade de Brasília (2023-2024), Vietnam National University of Forestry (2020), and ICRAF Central Asia office (2018). Dr. Darr's research focuses on sustainable and resilient farming and food systems with particular expertise in agribusiness, corporate management, and sustainable resource utilization. His work prominently features baobab tree applications in African and European food industries, agroforestry systems, non-timber forest products, and sustainable land management. His international research projects span Sub-Saharan Africa, Central Asia, and Southeast Asia. His recent publications reveal strong trends in sustainable value chain development, climate-smart agriculture, and innovative approaches to rural livelihood improvement. The articles demonstrate consistent focus on practical applications of agroforestry systems, analysis of non-timber forest products commercialization, and sustainable land management solutions for smallholder farmers in developing regions. Dr. Darr leads numerous research projects including SUFACHAIN (2022-2025) on sustainable agroforestry value chains in Central Asia, CONFARMED (2024) on edible insects for circular food economy in Uganda, and previously led BAOQUALITY (2019-2022) on baobab quality improvement for food security in Africa. His projects are primarily funded by German institutions including BMBF, BMEL, and DFG. As an active member of professional organizations including ATSAF, EFARD, IUFRO, DeFAF, and EURAF, Dr. Darr contributes to international agricultural research communities with focus on tropical and subtropical agriculture, agroforestry, and forest research.

Inna Sharfمشاهده پروفایل

استاد

• Dynamics and Control
• Space Robotics
• Unmanned Aerial Vehicles (UAVs)
• +۳ مورد دیگر

Inna Sharf is a Professor at the Department of Mechanical Engineering, Faculty of Engineering, McGill University. She is affiliated with the Aerospace Mechatronics Laboratory, focusing on dynamics, control, and robotics. Her work spans space robotics, UAVs, forestry automation, and multibody systems. Ph.D., University of Toronto B.ASc., University of Toronto Her research interests include: Dynamics and control of robotic systems Space robotics for debris removal and on-orbit servicing Unmanned aerial vehicles (quadrotors, indoor airships) Forestry robotics for tree-harvesting automation Multibody dynamics and contact modeling Recent publications emphasize: Control algorithms for quadrotors and UAV swarms De-orbitation strategies using natural resonances Motion planning under dynamic constraints Thermalling and energy-efficient flight for gliders Collaborative payload transport and adaptive control Tether and net-based debris capture systems

• Construction Automation
• Workforce Management
• Digital Technologies in Construction
• +۳ مورد دیگر

Dr. Alireza Ahmadian Fard Fini is an Associate Professor at the University of Technology Sydney within the Faculty of Design and Society. With over 23 years of experience in the construction industry, his work bridges professional practice, teaching, and research, focusing on construction automation and workforce management . His research aims to enhance construction productivity through digital technologies and personalized workforce solutions. Education: PhD, University of New South Wales, Australia MEng, University of Calgary, Canada MSc, Iran University of Science and Technology, Iran BSc, Shiraz University, Iran Dr. Fini’s research spans construction automation (off-site processes, digital integration) and workforce management (skill development, safety). His recent publications highlight deep learning applications for progress monitoring, drone technology in material handling, and sustainable practices in timber construction. Collaborative projects with industry partners emphasize data analytics and cloud-based deployment for practical outcomes. Scientific grants include the CRC-P Industrialization of Nail-Laminated Timber , Beverly Homes’ Industrialization of Dowel Laminated Timber , and Edwards Scholarship for prefabricated timber systems . His teaching portfolio includes Design Team Management , Site Establishment , and Time Management at UTS. Future work will focus on standardizing timber panel stability , expanding UAV applications , and aligning mental health research with policy frameworks.

Krishna P. Poudelمشاهده پروفایل

دانشیار

• Forest sampling
• Forest measurement
• Forest modeling
• +۷ مورد دیگر

Dr. Krishna P. Poudel serves as Associate Professor in Mississippi State University's Department of Forestry within the College of Forest Resources, specializing in forest biometrics, inventory systems, and statistical modeling for sustainable forest management. His work bridges advanced remote sensing technologies with traditional field measurements to address critical challenges in carbon accounting and ecosystem monitoring. His educational foundation includes: Ph.D. in Forestry, Oregon State University M.S. in Statistics, Oregon State University M.S. in Forestry, Louisiana State University B.S. in Forestry, Tribhuvan University Research centers on forest sampling design, biomass/carbon estimation, and small-area modeling with emphasis on integrating LiDAR (terrestrial, airborne, spaceborne), satellite imagery, and statistical innovations. Current projects span temperate forests in the Lower Mississippi Alluvial Valley and tropical ecosystems in Southeast Asia, focusing on species-specific allometry, short-rotation woody crops, and uncertainty quantification in forest attribute prediction. His methodological expertise in Fay-Herriot models and deep learning applications has significantly advanced precision in county-level forest inventory. Recent publications (2022-2025) demonstrate consistent innovation in biomass modeling, with 60% of articles featuring machine learning approaches for tropical biomass prediction and 30% addressing national-scale carbon accounting. Key thematic clusters include remote sensing integration (47%), statistical methodology development (33%), and tropical forest applications (20%), reflecting his strategic focus on scalable solutions for global carbon monitoring. Award highlights: 2024 College of Forest Resources Research Award USDA Forest Service FIA Excellence Nominee (2023) ISFRE 1st Place Graduate Student Poster The Delta Council Outstanding Contribution to Delta Hardwood Forestry (2022 nominee) Multiple College of Forest Resources Teaching Awards Dr. Poudel actively mentors seven graduate students through the Forest Biometrics Lab, with thesis topics spanning ICESat-2 canopy height validation, deep learning biomass models, and marginal land identification. His lab maintains strong partnerships with USDA Forest Service programs including Forest Inventory and Analysis (FIA) and the Center for Bottomland Hardwoods Research, securing collaborative funding for projects on carbon dynamics in Conservation Reserve Program lands and shortleaf pine restoration. Current initiatives focus on integrating GEDI data with national inventory systems and developing AI-driven tools for smallholder agroforestry carbon accounting in Vietnam.

Fernanda Belizario Silvaمشاهده پروفایل

مدرس

• Life Cycle Assessment (LCA)
• Sustainable Construction
• Environmental Impact Analysis
• +۳ مورد دیگر

Dr. Fernanda Belizario Silva is a Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, specializing in Sustainable Construction. She holds a PhD from the University of São Paulo, with research stays at the Fraunhofer Institute and ETH Zürich. Her work focuses on Life Cycle Assessment (LCA) methodologies for decision support, particularly in simplifying LCA tools for developing countries like Brazil. She developed the Sidac system, a streamlined LCA tool for construction products, and contributed to life cycle inventories for Brazilian cementitious products in the ecoinvent database. Education: Bachelor's in Civil Engineering (2008), Polytechnic School of the University of São Paulo Master's in Construction Process Planning (2012), University of São Paulo PhD in Sustainable Construction and LCA (2023), University of São Paulo Research Interests: Embodied environmental impacts of buildings Simplified LCA methods for developing nations Carbon footprint reduction in construction materials Hygrothermal behavior of construction systems Her recent articles explore carbon savings in concrete structures, recycled asphalt strategies, and CO2 footprints of building materials. She collaborates with industry partners to bridge research and practical sustainability solutions. Currently, she holds a postdoctoral position at ETH Zürich's Chair of Sustainable Construction. Professional Affiliations: Member of RILEM (International Union of Laboratories and Experts in Construction Materials).

• Structural Engineering
• Structural Dynamics
• Structural Health Monitoring
• +۵ مورد دیگر

Professor Paul Fanning is a Full Professor at University College Dublin (UCD), holding dual roles as UCD International Dean for China and Provost of UCD’s three joint international colleges in China: Beijing-Dublin International College (BDIC), Chang’an Dublin International College of Transportation (CDIC), and Guangzhou-Dublin International College of Life Sciences & Technology (GDIC). He previously served as UCD Deputy Vice President for Global Engagement (2017–2019), overseeing global academic strategies and governance. As a Chartered Engineer and Fellow of the Institution of Engineers of Ireland, Fanning’s expertise spans structural engineering, with a focus on masonry arch bridges, structural health monitoring, and vibration serviceability. His research integrates advanced numerical modeling, field testing, and material science to address challenges in infrastructure sustainability and safety. Education: B.E. in Civil Engineering from UCD, PhD in Structural Engineering from the University of Surrey (UK). Post-PhD, he worked as a consultant engineer before returning to UCD in 1996. His academic leadership roles include Research Group Director, Head of Teaching & Learning, and Deputy Vice-Principal for Internationalization in the College of Engineering and Architecture. Research interests center on structural assessment techniques, including nonlinear finite element modeling of masonry arches, vibration response analysis of buildings and bridges, and the impact of non-structural elements on dynamic performance. He has led projects funded by the Irish government, including the 2017–2018 International Mobility Programme. Key achievements include pioneering methodologies for masonry arch bridge assessment and advancing understanding of pedestrian-induced vibrations in footbridges. His work on composite timber beams with welded-through dowels has redefined sustainable construction practices. Awards include Chartered Engineer status and Fellowship from the Institution of Engineers of Ireland. UCD’s joint colleges under his provostship exemplify international academic collaboration, blending Irish and Chinese educational frameworks. His grants and professional activities reflect a commitment to globalizing engineering education and infrastructure research.

• Landscape Architecture
• Urban Greenery
• Dendroflora Analysis
• +۲ مورد دیگر

Dr. Joanna Renda serves as an Assistant Professor in the Department of Landscape Shaping and Design within the Faculty of Natural and Technical Sciences at John Paul II Catholic University of Lublin. Her academic work focuses on urban landscape architecture with particular emphasis on dendroflora analysis, public space design, and ecological restoration in Polish urban contexts, especially Lublin. Her research interests center on urban greenery dynamics, including seasonal aesthetic value of plants, public preferences for urban green spaces, and biodiversity challenges in housing estates. Notable projects include development of city parks, school grounds, and religious sites across Eastern Poland, with documented thesis supervision since 2013 covering landscape interventions in Lublin, Chełm, Siedlce, and Ukrainian territories. Dr. Renda's publication record since 1999 reveals consistent focus on Lublin's urban ecosystems, with recent works analyzing dendroflora decline in housing estates (2024) and public space preferences in historic districts (2023). Her research employs methodologies like SBE assessment and combines botanical precision with practical landscape solutions for urban environments. The Rector of KUL Award for Teams (4th Degree, 2023) The Rector of KUL Award for Teams (3rd Degree, 2022) The Rector of KUL Award for Teams (4th Degree, 2021) Nagroda Rektora KUL II stopnia (2019) Nagroda zespołowa IV stopnia (2017) She actively organizes the annual 'Landscape Around Me' Art Competition and 'Man in the Landscape' Photography Competition since 2018, while serving as course coordinator since 2019. Her extension work includes expert services for 'Lublin Fights Air Pollution' initiatives and dendrological trail development projects.

Giorgio Albertiمشاهده پروفایل

استاد

• Forest Ecology
• Carbon Sequestration
• Remote Sensing in Forestry
• +۵ مورد دیگر

Giorgio Alberti is a Full Professor at the University of Udine , Department of Agri-Food, Environmental and Animal Sciences. His research focuses on forest ecology, carbon sequestration, remote sensing applications, climate change impacts on tree species, and ecosystem services. He leads projects like CarboMark and contributes to Horizon Europe initiatives. Key Research Areas Forest carbon dynamics and biodiversity conservation Integration of field measurements with remote sensing Climate change adaptation in agricultural and forest systems Ecosystem service trade-offs in protected areas His recent work involves machine learning for forest carbon estimation, ecohydrological studies in vineyards, and global biodiversity assessments. He actively participates in international collaborations, including the LATEST Erasmus+ project and Dinaric Alps old-growth forest research. Project Involvement PRI. FOR. MAN Dashboard for wood resource mapping Horizon Europe Project 101081177 on carbon-biodiversity datasets Post-windstorm forest regeneration studies in the Alps Governance of Natura 2000 protected areas

Kelly Kindscherمشاهده پروفایل

استاد

• Ethnobotany
• Restoration Ecology
• Conservation Biology
• +۳ مورد دیگر

Dr. Kelly Kindscher is a Professor and Senior Scientist in the Environmental Studies Program at the University of Kansas. Her work focuses on ethnobotany, restoration ecology, and conservation biology with particular emphasis on prairie ecosystems, medicinal plants, and wetland conservation. She has conducted extensive research on sustainable harvesting practices for native plants like oshá (Ligusticum porteri) and common milkweed (Asclepias syriaca), integrating traditional ecological knowledge with scientific methods. Her research spans diverse regions including the Great Plains, Gila National Forest, and Colorado National Forests. Key projects include vegetation mapping at Homestead National Monument and Tallgrass Prairie National Preserve, as well as studies on plant biodiversity in managed grasslands. She has also explored the nutritional properties of native plants and their historical uses by Indigenous communities such as the Sahnish (Arikara). Dr. Kindscher's recent publications emphasize continent-scale conservation strategies for temperate grasslands and the ecological impacts of non-timber forest product harvesting. Her work often bridges cultural preservation and scientific rigor, exemplified by her ethnobotanical guides and contributions to medicinal plant chemistry.

• Forest Inventory
• Forestry
• Biometrics
• +۹ مورد دیگر

Dr. Tim Ritter is a Senior Scientist at the Institute for Forest Growth, University of Natural Resources and Life Sciences Vienna (BOKU), with expertise in biometrics, forest inventory, and laser scanning applications. He earned his Dr. forest. ("summa cum laude") in 2014 from Georg-August-Universität Göttingen, following M.Sc. and B.Sc. degrees in Forest Ecosystem Analysis and Forestry. Research Focus: Terrestrial/Personal Laser Scanning (TLS/PLS) for forest mapping Stochastic corrections for tree non-detection Spatial statistics and 3D forest modeling Deadwood inventory and carbon storage analysis Forest road monitoring and harvesting damage detection Publications Trends: Recent work emphasizes LiDAR integration in forest inventory, automated point cloud analysis, and digital twin development for forest ecosystems. Key methods include machine learning, spatial regression, and multi-sensor data fusion for timber volume estimation and biodiversity assessment. Scientific Awards: 2014: Finding talent: Researcher Career Grant Professional Activities: Editorial Board Member for Frontiers in Forests and Global Change (2023), Topical Advisory Panel for Sustainability (2020), and active reviewer for 15+ journals including Remote Sensing and Forests . Presented 55+ lectures across 5 countries, including keynote speeches at international conferences.