جستجوی استاد راهنمای دانشگاهی

Nedim Pervan is a Full Professor at the Faculty of Mechanical Engineering, University of Sarajevo, Bosnia and Herzegovina. His academic position focuses on mechanical engineering with emphasis on product design, structural analysis, and biomechanical applications. He maintains an active research profile with numerous publications and collaborations across various engineering disciplines, with office hours every workday from 09:00 to 10:00 in room 314. Professor Pervan's research interests span multiple domains of mechanical engineering. He has made significant contributions to additive manufacturing, particularly in polymer gear production and analysis. His work explores mechanical properties, failure mechanisms, and service life of polymer gears manufactured through additive processes. Additionally, he has conducted extensive research on external fixation devices used in orthopedic treatments, analyzing their biomechanical characteristics and structural stability under various loading conditions. His expertise extends to finite element analysis, structural optimization, and the application of 3D scanning technologies within Industry 4.0 contexts. His research demonstrates a strong connection between theoretical engineering principles and practical applications across automotive, medical devices, and manufacturing industries. His recent publication record reveals a strong trend toward interdisciplinary research bridging mechanical engineering with biomedical applications and advanced manufacturing technologies. A significant portion of his work focuses on polymer gears and additive manufacturing, examining material properties and performance characteristics. Another substantial research stream involves biomechanical engineering, particularly the analysis of external fixation devices. His publications demonstrate a methodological approach combining experimental testing with finite element analysis. More recently, his research has expanded into 3D scanning applications in manufacturing and the electrification of transportation systems in Bosnia and Herzegovina. Professor Pervan has been involved in numerous research projects that have advanced the capabilities of the Faculty of Mechanical Engineering. These include the "Integrated Intelligent CAD System for Interactive Design, Analysis and Prototyping of Compression and Torsion Springs" (2022), "Opremanje Laboratorije za razvoj i dizajn proizvoda" (2020), and "Modernizacija Laboratorije za ispitivanje mašinskih konstrukcija" (2019-2020). These projects have focused on developing advanced laboratory facilities, intelligent CAD systems, and equipment for mechanical design and analysis, with several specifically targeting 3D scanning technology implementation. His collaborative work extends across multiple research teams within the Department of Mechanical Constructions at the University of Sarajevo. He frequently collaborates with researchers including Adis Muminović, Elmedin Mešić, and Muamer Delić on projects related to additive manufacturing, biomechanical engineering, and structural analysis. His research group appears actively involved in both theoretical and applied engineering research with practical industrial and medical applications, contributing significantly to Bosnia and Herzegovina's engineering research landscape.

• Mechanical Engineering
• Additive Manufacturing
• Polymer Gears
• +۷ مورد دیگر

Dr. Albert Ruhi is Associate Professor in Environmental Science, Policy and Management at UC Berkeley. His research examines freshwater ecosystem responses to global change, with focus on hydrologic alteration and drought impacts across river networks. The Ruhi Lab integrates field experiments, time-series analysis, and hydrologic modeling to understand metacommunity dynamics and ecosystem resilience. Educational background: PhD in Ecology, University of Girona BS in Biology, University of Girona Research explores: Drought impacts on aquatic communities Climate change effects on stream metabolism Wetland restoration outcomes Metacommunity recovery pathways Ecohydrological feedbacks Recent publications address: Phenological shifts in estuarine food webs Flow alteration cascades in river networks Beaver-mediated drought resilience Groundwater-riparian interactions Awards and honors: NSF CAREER Award (2021) California Sea Grant Award (2021) Hellman Fellowship (2020) Winkler Scholar (2023) Research group includes 7 graduate students and postdocs studying: Urban river restoration Tidal marsh food webs Alpine stream thermal regimes Vernal pool seedbanks Field sites span Sierra Nevada streams, San Francisco Bay wetlands, and Mediterranean rivers.

• Freshwater ecology
• Metacommunity dynamics
• Hydrologic alteration impacts
• +۳ مورد دیگر

Tamás Budavári is an Associate Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University (JHU), with joint appointments in Physics and Astronomy and a secondary appointment in Computer Science. He is affiliated with the Whiting School of Engineering and the Institute for Data-Intensive Engineering and Science (IDIES). His research focuses on computational and statistical methods for big data in astronomy and interdisciplinary applications such as urban blight analysis. Education: PhD in Astrophysics (2001), Eötvös Loránd University, Budapest Master’s in Theoretical Physics (1997), Eötvös Loránd University Research Interests: Budavári develops algorithms for handling large astronomical datasets, including Bayesian inference, streaming algorithms, and GPU-accelerated processing. His work includes SkyQuery (an online astronomy data tool), photometric redshift estimation, and cross-matching catalogs. He also applies computational methods to urban planning, such as optimizing strategies to address vacant housing in Baltimore City. Publications & Tools: Budavári’s recent work spans topics like deep learning for astronomical image restoration, combinatorial optimization for urban policy, and probabilistic catalog matching. His tools, such as CUDAHM and NWAY, enable scalable analysis of multi-epoch survey data and N-way catalog cross-identification. Awards & Grants: Recipient of the Gordon and Betty Moore Fellowship and SAMSI Research Fellowship Funded by NSF, STScI, NIH, and others Leadership & Outreach: He serves on the Steering Committee of the 21st Centuries Cities Initiative and is a founding editor of the Journal of Astronomy and Computing. His interdisciplinary work bridges astrophysics, data science, and urban systems.

• Computational Statistics
• Bayesian Inference
• Astronomy
• +۶ مورد دیگر

Professor Cedo Maksimovic is a leading academic in the Department of Civil and Environmental Engineering at Imperial College London, Faculty of Engineering. He is a Principal Research Fellow and heads the Urban Water Research Group (UWRG), with affiliations to the Environmental and Water Resource Engineering group, Grantham Institute, Space Lab, and Urban Systems Lab. His research focuses on urban water systems , including storm drainage, urban flooding, water supply, and the interaction between urban infrastructure and the environment. He has pioneered work in applied fluid mechanics , smart water infrastructure , and flood risk management , with innovations such as the AOFD method for urban surface flood modelling and intelligent sensor networks recognized by the ICE Telford Gold Medal. His recent research, as reflected in publications, spans urban pluvial flooding , leakage detection , integrated urban water management , and blue-green infrastructure . These works emphasize computational modelling, real-time monitoring, and climate resilience in urban environments. UNESCO/IAHR Lecturer of the Year 2001 ICE Telford Gold Medal (WINES project team) Prof. Maksimovic has led major projects funded by EPSRC, EU (Climate-KIC, Interreg), UNESCO, and ERANET_CRUE. He advises postgraduate students and has created international educational initiatives like the EDUCATE programme. He also serves as Editor-in-Chief of the Urban Water Book Series and co-founded the Urban Water journal. He leads the UNESCO-endorsed IRTCUD/CUW network with centres in Banjaluka, Belgrade, Cairo, Kuala Lumpur, London, Porto Alegre, Tehran, and Trondheim, promoting global collaboration in urban water research and education.

• Urban Water Systems
• Applied Fluid Mechanics
• Storm Drainage
• +۱۲ 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.

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

Il Memming Park is a Professor and Group Leader at the Centre for Restorative Neurotechnology within the Champalimaud Research division of the Champalimaud Foundation in Lisbon, Portugal. His work bridges computational neuroscience, machine learning, and statistical modeling to understand neural dynamics and computation. Dr. Park's research focuses on developing statistical and machine learning methods for analyzing neural time series data. His lab investigates the appropriate language for neural dynamics that can explain and generate specific predictions on neural data and behavior. He builds on foundations of dynamical systems and stochastic processes to create models of neural computation tightly tied to biology. His publications reveal a strong emphasis on developing methods like variational latent Gaussian processes and exponential family dynamical systems to extract meaningful patterns from complex neural recordings. His work spans both theoretical developments in computational methods and their application to real neural data from areas like visual cortex, parietal cortex, and other brain regions involved in perception and decision making. Dr. Park has previously held positions at Stony Brook University and the University of Texas at Austin, where he was affiliated with departments of Neurobiology and Behavior, Applied Mathematics and Statistics, Psychology, and Neuroscience. His lab at Champalimaud includes multiple PhD students, postdoctoral researchers, and research staff working collaboratively on various aspects of neural data analysis and modeling. The team employs an interdisciplinary approach combining neuroscience, statistics, machine learning, and dynamical systems theory.

• Computational Neuroscience
• Neural Dynamics
• Machine Learning
• +۳ مورد دیگر

Pascale Biron is a Professor in the Department of Geography, Urban Planning and Environment at Concordia University, Montreal. She holds a Ph.D. in Geography from Université de Montréal (1995) and has been with Concordia since 1998. Her research focuses on river dynamics, stream restoration for fish habitat, flood modeling, and climate change impacts. She specializes in hydrogeomorphology, river management in agricultural watersheds, and numerical modeling of fluvial processes. Research Interests: Her work includes river restoration strategies, flood risk assessment using LiDAR technology, and the 'river freedom' concept promoting ecosystem resilience. She collaborates closely with government agencies to translate research into practical river management policies. Professional Affiliations: Canadian Geomorphology Research Group, Canadian Association of Geographers, American Geophysical Union, GRIL (Limnology Research Group), and RIISQ (Quebec Flood Risk Network). Publications & Research: Recent studies address global salmonid biomass patterns, fluvial hazard detection via machine learning, and large-scale flood modeling. She supervises 19 graduate students in Ph.D./M.Sc. programs in Geography and Environmental Studies, focusing on topics like river confluence hydraulics and agricultural stream restoration. Grants & Funding: Active projects include river dynamics in fish habitats, flood modeling for road infrastructure vulnerability, and computational fluid dynamics simulations of river flows. She also leads research on societal dimensions of river restoration and policy frameworks for flood resilience.

• Hydro-geomorphology
• River Restoration
• Floodplain Management
• +۳ مورد دیگر

Kate Ogg is Professor and Associate Dean (Higher Degree Research) at ANU Law School. Her interdisciplinary research examines refugee law, human rights litigation, and feminist legal theory through works including the monograph 'Protection from Refuge: From Refugee Rights to Migration Management'. Ogg's scholarship investigates how courts shape refugee journeys globally. She holds a BA/LLB (First Class Honours, University Medal) from Griffith University, MSc (Distinction) from Oxford, and PhD from ANU. Ogg provides expert testimony to the Australian Federal Parliament and contributes to international media discourse on refugee policy. Research Focus: Current ARC-funded projects examine community sponsorship for refugees and movement litigation. Key research streams include: COVID-19 border restrictions' impact on citizenship conceptualizations Feminist engagements with international refugee law Deliberative democratic approaches to human rights adjudication Constitutional struggles in displacement contexts Recent publications analyze pandemic border controls as internal displacement events and refugee law's response to democratic backsliding. Collaborative work advances methodological innovation through refugee-centered legal scholarship. Leadership: As Director of the Rewriting Jurisprudence project, Ogg collaborates with scholars and lawyers with displacement experiences to reimagine legal precedents. She co-leads the Law, Governance & Institutions cluster at ANU's Institute for Climate, Energy & Disaster Solutions.

• Refugee Law
• Human Rights Litigation
• Feminist Legal Theory
• +۲ مورد دیگر

Dr. Rebecca Rooney is an Associate Professor in the Faculty of Science at the University of Waterloo, specializing in wetland ecology and environmental toxicology. She contributes to graduate studies as Interim Associate Chair and leads the Rooney Lab , which focuses on wetland conservation, invasive species impacts, and contaminant dynamics in aquatic ecosystems. University of Waterloo Ecology and Evolution Research Group Her research spans several critical areas: Wetland hydrology and groundwater interactions Ecological impacts of microplastics and stormwater contaminants Invasive species management (particularly Phragmites australis ) Climate change effects on wetland biodiversity Environmental monitoring techniques The 15 most recent publications reveal consistent research themes in urban stormwater contamination, wetland connectivity, and microplastic pollution. These works employ field experiments, isotope tracing, and multi-metric monitoring frameworks to address ecological risks and inform conservation strategies. She actively investigates pesticide bioconcentration in biofilms, wetland reclamation in oil sands regions, and the ecological consequences of hydrological changes. Her lab integrates field-based methodologies with policy considerations to advance wetland science.

• Wetland Ecology
• Invasive Species Management
• Urban Stormwater Contamination
• +۴ مورد دیگر

David Newburn is an Associate Professor in the Department of Agricultural and Resource Economics at the University of Maryland, College of Agriculture and Natural Resources. His research focuses on environmental and resource economics, particularly land-use regulations for farmland and forest preservation, and water quality in the Chesapeake Bay. He develops spatial models to manage urban sprawl and evaluates incentive-based programs for conservation practices. Research Areas: Land-Use Change and Urban Sprawl Water Quality Trading and Conservation Spatial Economic Modeling Payment for Ecosystem Services (PES) Collaborations: NSF-funded Baltimore Ecosystem Study (BES) National Center for Smart Growth Chesapeake Bay Program Scientific and Technical Advisory Committee Recent Publications: Highlight trends in household behavior, land-use policy effectiveness, and coastal adaptation to climate impacts. Articles span environmental economics, urban ecology, and interdisciplinary sustainability research. Education: B.S., University of Maryland, College Park (1991) Ph.D., University of California, Berkeley (2002)

• Environmental Economics
• Land Economics
• Water Resource Economics
• +۶ مورد دیگر

Athanasios Rontogiannis is an Associate Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA). He holds a PhD in Signal Processing from the National University of Athens (1997) and has held roles including Research Director at the National Observatory of Athens (2017–2021). His research focuses on signal processing, machine learning, and hyperspectral image analysis. Education: MEng (Electrical Engineering, NTUA, 1991), M.A.Sc. (University of Victoria, Canada, 1993), PhD (Signal Processing, National University of Athens, 1997). Research interests include adaptive algorithms, sparse representations, and tensor models. He has served on editorial boards of IEEE Transactions on Signal Processing and EURASIP journals, receiving an honorary distinction in 2020. He is a Senior Member of IEEE and affiliated with EURASIP and the Technical Chamber of Greece. Key contributions span hyperspectral unmixing, Bayesian algorithms, and space data exploitation. His work integrates machine learning for applications in space science and signal processing.

• Signal Processing
• Machine Learning
• Computational Signal and Image Processing
• +۴ مورد دیگر

Dr. Pascale Biron is a Professor in the Department of Geography, Planning and Environment at Concordia University, Montreal. Her research focuses on river dynamics, stream restoration, flood modeling, and climate change impacts. She has been at Concordia since 1998 and holds professional affiliations with key organizations like the Canadian Geomorphology Research Group and the American Geophysical Union. Education: PhD from Université de Montréal and Leeds University (fluvial geomorphology) Research Interests Her work integrates fluvial geomorphology, computational fluid dynamics, and societal aspects of river management. Key themes include: River restoration for fish habitat Floodplain modeling using LiDAR Climate adaptation strategies Socio-hydrological dimensions of restoration Hydrodynamic processes at river confluences Recent Research Trends Recent publications emphasize global salmonid habitat analysis, machine learning for fluvial hazard detection, and the socio-environmental impacts of urban flooding. Her work bridges technical hydrology with policy-relevant solutions for sustainable water management. Grants & Advising Supervises over 15 graduate students (PhD/MSc) in topics ranging from flood modeling to bioengineering. Active in collaborative projects like the 'Freedom Space for Rivers' initiative and large-scale floodplain mapping. Labs & Teams Member of GRIL (Limnology Research Group) and RIISQ (Quebec Flood Network), contributing to interdisciplinary water security research.

• Hydro-geomorphology
• River dynamics
• Stream restoration
• +۵ مورد دیگر

Steven Loheide is a Professor in the Department of Civil & Environmental Engineering at the University of Wisconsin-Madison. His work bridges hydrogeology, ecohydrology, and environmental engineering with a focus on groundwater-dependent ecosystems. PhD (2006), Stanford University MS (2001), Indiana University BS (1999), University of Northern Iowa Loheide's research examines hydroecology , vegetative water use , and stream-aquifer interactions , particularly in the context of climate change , urban greening , and managed aquifer recharge . His recent publications highlight interdisciplinary approaches combining remote sensing , hydrologic modeling , and ecosystem services analysis . Key trends in his 15 most recent publications (2023-2025) span: groundwater-forest interactions during drought, urban ecohydrology impacts on energy balance, MAR design for multi-benefit ecosystems, and tree sway monitoring as ecohydrologic stress indicators. 2022 - Distinguished Professorship of Water Resources Engineering 2021 - Harvey Spangler Award for Innovative Teaching 2018 - Vilas Faculty Mid-Career Investigator Award 2014 - Fulbright Scholar (Argentina) 2010 - NSF CAREER Award Loheide teaches courses in groundwater hydraulics , ecohydrology , and hydroscience , advising graduate students through master's research , pre-dissertation , and thesis projects.

• Hydroecology
• Ecohydrology
• Groundwater Dependent Ecosystems
• +۱۰ مورد دیگر

Professor Dörthe Tetzlaff is a leading figure in ecohydrology, serving as Head of Department (A1) Ecohydrology at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) and as Full Professor of Ecohydrology at Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Geography Department. She also holds an Honorary Professorship at the University of Aberdeen, Scotland. Her work bridges theoretical hydrology with practical applications for water security and environmental management. Professor Tetzlaff's research focuses on ecohydrological processes, particularly using stable water isotopes to understand water cycling, catchment functioning, and landscape connectivity. Her work spans from pristine natural systems to complex urban environments, with particular emphasis on drought resilience, water security, and nature-based solutions. She has pioneered tracer-aided modeling approaches to quantify water storage, fluxes, and ages across the soil-plant-atmosphere continuum. Her publication record shows a clear trend toward increasingly sophisticated integration of multi-tracer approaches with ecohydrological modeling, with recent work focusing on urban systems, drought impacts, and nature-based solutions. The publications demonstrate expertise across hydrology, biogeochemistry, and ecological applications, with strong methodological development in isotope hydrology and modeling techniques. Polubarinova-Kochina Hydrologic Sciences Mid-Career Award of the American Geophysical Union AGU (2024) Water Resource Prize of the Rüdiger Kurt Bode Foundation (2024) Member of the Berlin-Brandenburg Academy of Sciences and Humanities (2023) Fellow of The European Academy of Sciences (2022) Fellow of the Geological Society of America GSA (2020) Professor Tetzlaff actively supervises numerous PhD students and postdoctoral researchers, with her group focusing on cutting-edge ecohydrological research. She leads multiple significant research projects including WETSCAPES2.0, ECCO, ISO-SCALE, and BiNatUr, which address critical questions about water security, climate change impacts, and nature-based solutions in urban environments. Her work is supported by substantial funding from various national and international sources. She leads the Ecohydrology research group at both IGB and Humboldt-Universität zu Berlin, which employs an integrative approach combining field measurements, isotope techniques, and advanced modeling to understand water dynamics across diverse landscapes. The group collaborates extensively with international partners across Europe, North America, and Asia, contributing to global understanding of hydrological processes.

• Ecohydrology
• Hydrology
• Landscape Ecology
• +۶ مورد دیگر

Associate Professor Sonny Pham leads research in artificial intelligence at Curtin University's School of EECMS. His work balances theoretical foundations with practical applications in computer vision, data mining, and deep learning. As head of the IAMAI research group, he collaborates with industry partners on security systems, healthcare AI, and sustainable technologies. His research explores: Computationally efficient deep learning architectures Compressed sensing for high-dimensional data Robust statistical methods for real-world problems Applications in computer vision and industrial automation Recent publications demonstrate a focus on medical imaging interpretation and efficient neural networks, with applications spanning radiology report generation, semantic segmentation for autonomous systems, and cybersecurity. His team's work consistently bridges theoretical AI advancements with industrial applications. Honors include: Multiple WANMA Awards (2021-2024) for industry-impactful research INCITE Award for social impact technology (2024) IEEE Young Author Best Paper Award (2010) Over $5M in competitive research funding including MRFF and DFAT grants He leads the IAMAI research group with 12+ graduate students and coordinates Curtin's Master of Artificial Intelligence program. Industry collaborations include Alcoa Australia, iCetana, and HyprFire.

• Artificial Intelligence
• Computer Vision
• Data Mining
• +۳ مورد دیگر