جست‌وجوی استاد و پژوهشگر

• Plant Eco-Physiology
• Soil Science
• Climate Change
• +۵ مورد دیگر

Alexander Cheesman is a Senior Research Fellow at James Cook University (JCU, Australia) and the University of Exeter (UK), specializing in plant eco-physiology and soil science. His research focuses on tropical systems' responses to climate change, air pollution, and nutrient dynamics. He leads the TropOZ project examining ozone impacts on tropical vegetation and has expertise in stable isotope analysis for ecological studies. Education: PhD in Soil and Water Science (University of Florida, 2010), BA in Plant Science (Cambridge University, 2004). Research interests include tropical plant physiology, temperature effects on plant traits, ozone exposure impacts, and phosphorus cycling. He has led or contributed to 7 major projects since 2017, including studies on denitrification bioreactors and tree thermoregulation. Key findings include reduced tropical forest productivity from ozone exposure and critical temperature thresholds for tropical trees. His work bridges field experiments with controlled manipulations to predict ecosystem responses to global changes. Grants include funding for TropOZ (2018–2021) and projects on mango leaf pigmentation (2022), C4 grasses (2021), and aquaculture bioreactors (2020). Collaborates with institutions like Smithsonian Tropical Research Institute and CTFS-ForestGEO.

• Ecology
• Entomology
• Forest Pest Management
• +۴ مورد دیگر

Manuel Branco Ferreira is an Assistant Professor and Director of the University Clinic of Immunoallergology at the Faculty of Medicine of the University of Lisbon. His research focuses on invasive species dynamics, forest pest management, and ecological impacts of climate change. He specializes in biological control strategies for invasive insects affecting agricultural and forest ecosystems. Ferreira's work integrates field studies, genomic analysis, and computational modeling to address pest invasions and ecosystem resilience. His research interests include the spread mechanisms of invasive species such as the African citrus psyllid, the impact of climate on plant-insect interactions, and the development of sustainable pest control methods. Notable contributions involve studying the pine processionary moth's phenology shifts and evaluating urban tree biosecurity through stakeholder collaboration. Ferreira has published extensively on topics like ambrosia beetle distributions, Argentine ant competition, and the ecological consequences of invasive conifer seed bugs. His articles highlight multidisciplinary approaches, combining molecular biology (e.g., genome analysis of Thaumetopoea pityocampa) with ecological modeling to predict pest spread and assess management strategies. Ferreira's work also addresses policy frameworks for biological control agents and the socio-ecological dimensions of invasive species management in Mediterranean ecosystems.

• Hydroclimatology
• Environmental Hydraulics
• Hydrological Extremes
• +۶ مورد دیگر

Aristides Koutroulis serves as an Associate Professor of Applied Hydraulics and Hydrology at the Department of Environmental Hydraulics, Coastal Engineering and Geoenvironmental Engineering within the School of Chemical and Environmental Engineering at the Technical University of Crete. His academic career is deeply rooted at this institution, where he completed his educational journey and now contributes significantly to teaching and research. His educational background includes: Ph.D. in Environmental Engineering (2010) M.Sc. in Environmental Engineering (2005) Diploma in Mineral Resources Engineering (2002) all from the Technical University of Crete. Koutroulis specializes in hydroclimatology, environmental hydraulics, and hydrological extremes, with particular focus on climate change impacts and adaptation strategies for water resources management. His research integrates hydrological and earth system modeling to address critical issues like hydroclimatic extremes and the development of weather and climate services. His work demonstrates a strong commitment to integrated water resources management in the Mediterranean region, where climate change poses significant challenges to water security. Analysis of his recent publications reveals a consistent focus on climate-water interactions, with particular emphasis on drought assessment, river flow trends, groundwater recharge, and extreme hydrological events. His research employs advanced modeling techniques and contributes significantly to global assessments like the IPCC reports. His scientific recognition includes: Ranking among World's Top 2% Scientists (2020) Invitation as Contributing Author to IPCC AR6 Chapter 4 'WATER' Selection as Lead Author for WATER chapter of Mediterranean First Assessment Report (MAR1) Associate Editor position at Climate Services Elsevier Koutroulis actively contributes to major research initiatives including REACT4MED (2022-2025), STREAM (2021-2023), PROCLIAS (2020-2024), and FIRElinks (2019-2023). His teaching responsibilities include core courses in Hydraulics II and Hydraulic Works for undergraduate students. His research bridges theoretical hydrology with practical applications for sustainable water management in water-stressed Mediterranean environments.

Brian Leungمشاهده پروفایل

دانشیار

• Predictive Ecology
• Biological Invasions
• Species Distribution Modeling
• +۱۲ مورد دیگر

Dr. Brian Leung is an Associate Professor in the Department of Biology and the Bieler School of the Environment at McGill University, where he also holds the UNESCO Chair for Dialogues on Sustainability and serves as Director of the Neotropical Environment Option (NEO), a collaborative program with the Smithsonian Tropical Research Institute (STRI). Department: Department of Biology School: Bieler School of the Environment University: McGill University Leadership Roles: UNESCO Chair for Dialogues on Sustainability, Director of NEO Collaborations: Panama Research and Integrated Sustainability Model (PRISM), STRI Dr. Leung’s research is centered on predictive ecology and environmental decision-making, utilizing mathematical, statistical, and computational models to address urgent ecological challenges. His work spans terrestrial, aquatic, and marine ecosystems at regional, national, and global scales, with a strong focus on biological invasions as a major driver of biodiversity change and a key component of sustainability science. He integrates socio-economic and ecological data to inform policy and management decisions under uncertainty. His recent publications demonstrate a consistent trend in modeling biological invasions, species distribution, economic costs of invasions, climate change impacts, and sustainability frameworks. Key themes include the development of risk assessment tools, analysis of invasion pathways (e.g., pet trade, ballast water), forecasting future invasion scenarios, and the integration of ecosystem services into conservation planning. His lab employs advanced techniques such as meta-analysis, spatial modeling, decision theory, and large-scale data synthesis. UNESCO Chair for Dialogues on Sustainability NSERC Research Fellow Dr. Leung actively mentors a diverse group of students, including postdoctoral researchers, PhD, and MSc candidates, many of whom work on projects related to invasion ecology, forest pests, mangrove conservation, and sustainability modeling. His lab has secured funding for research on topics such as invasive species spread, urban tree mortality, and the Panama Research and Integrated Sustainability Model (PRISM). He has taught courses such as Evolving Earth (ENVR 202), Methods in Biology (BIOL 206), and Environmental Research (ENVR 401), and previously taught Biometry and Applied Tropical Ecology. His lab, the Leung Lab, is involved in multidisciplinary projects including PRISM, which aims to develop a spatially explicit computational model for sustainability science in Panama and the Global South. The lab fosters collaboration with institutions such as Habitat (habitat-nature.com) and the Smithsonian Tropical Research Institute, and emphasizes quantitative skills in ecology and environmental science.

Mikhail Tammمشاهده پروفایل

پژوهشگر ارشد

• Statistical Physics
• Complex Networks
• Soft Condensed Matter
• +۵ مورد دیگر

Mikhail Tamm is a Senior Research Fellow at Tallinn University's School of Digital Technologies, where he applies statistical physics and complex network theories to human-generated data. His academic journey includes positions as Associate Professor at Moscow State University and Higher School of Economics, Lecturer at Moscow Physical Technical Institute, and postdoctoral research at Université Paris-Sud. He holds a PhD in Physics from Moscow State University (2002), supervised by Igor Erukhimovich. Research interests focus on interdisciplinary applications of physics methodologies: Statistical physics approaches to social/cultural data analysis Complex network theory for transport patterns and psycholinguistics Dimensional reduction techniques for human activity patterns Modeling abrupt transitions in social systems Publication analysis reveals consistent focus on network science applications across physics, biology, and cultural studies, with recent emphasis on hyperbolic networks, language coexistence models, and computational cultural analytics. Methodological innovations in statistical mechanics form the core of his interdisciplinary work. Current research projects include: Principal Investigator: 'Learning Processes in Language Dynamics' (Estonian Research Council, 2024-2025) Team member: 'Cultural Data Analytics Open Lab' (Tallinn University, 2024-2027) Team member: 'Learning Processes in Language Dynamics' (PRG1059, 2021-2025) Previous projects include the EU-funded 'Cultural Data Analytics' (2019-2024) and 'Kinokroonika Exploration Project' (2021-2022).

Jordi Domingo-Pascualمشاهده پروفایل

استاد

• 5G Network Architecture
• Software-Defined Networking (SDN)
• Locator/Identifier Separation Protocol (LISP)
• +۱۰ مورد دیگر

Jordi Domingo-Pascual is a Full Professor at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), affiliated with the Department of Computer Architecture within the Faculty of Informatics of Barcelona (FIB). He is a member of the UPC CBA - Broadband Communications Systems and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. His research spans networking, telecommunications, and ethical aspects of technology design. Research Interests: His primary areas of expertise include 5G network architectures, software-defined networking (SDN), Locator/Identifier Separation Protocol (LISP), traffic engineering, quality of service (QoS), network monitoring, and ethics in engineering education. He investigates both technical and societal dimensions of emerging network technologies. Publication Trends: His recent scholarly output (2020–2022) emphasizes SDN controller placement optimization, open-source traffic engineering tools, and the integration of ethical considerations in engineering curricula—particularly in the context of AI and pandemic-era digital tracing applications. Earlier works focus on ATM multicasting, QoS, and broadband network characterization. Scientific Awards: Premi o reconeixement Advising and Grants: While specific advisees are not listed, his extensive research activity—including participation in European projects—suggests involvement in supervising students and securing competitive R&D funding. His work on traffic engineering, SDN, and LISP indicates leadership in national and international collaborative grants. Labs and Research Groups: He is actively involved in the UPC CBA research group focused on broadband and communication systems and the IDEAI-UPC group advancing data science and AI. These affiliations reflect a strong interdisciplinary research profile bridging networking and intelligent systems.

Melissa Lucashمشاهده پروفایل

پژوهشگر

• Landscape Ecology
• Forest Ecology
• Climate Change
• +۲ مورد دیگر

Melissa Lucash is a Research Assistant Professor in the Department of Geography at the University of Oregon's College of Arts and Sciences. Her work focuses on landscape ecology, forest ecology, and climate change impacts on wildfire regimes through spatial modeling. Ph.D., SUNY College of Environmental Science and Forestry M.S., Oregon State University B.S., SUNY College of Environmental Science and Forestry Research Interests Dr. Lucash's research spans landscape ecology , forest dynamics , and climate change mitigation , with emphasis on Wildfire behavior under warming scenarios Albedo shifts in boreal ecosystems 3D virtual reality for forest education Fire regime modeling in Siberian and Alaskan forests Publication Trends Her recent work demonstrates a focus on climate-fire-vegetation feedbacks , ecosystem modeling , and data-driven visualization tools . Key themes include carbon budget analysis, post-fire recovery mechanisms, and adaptive forest management. Students & Collaborations Doctoral candidate James Lamping collaborates with Dr. Lucash in the TEEL lab , developing new modules for landscape-scale ecosystem models like LANDIS-II to improve wildfire and storm impact simulations.

• Game Theory
• Operational Research
• Cooperative Games
• +۷ مورد دیگر

Dr. Balbina Casas Mendez is a Professor in the Department of Statistics, Mathematical Analysis and Optimization at the University of Santiago de Compostela (USC) , affiliated with the Galician Mathematical Research and Technology Center (CITMAga) and the MODESTYA research group focused on optimization, decision-making, and statistical models. She holds a doctorate from USC (1996) for her thesis on cooperative games with graph-restricted communication, advised by Dr. José Manuel Prada Sánchez. Her research lies at the intersection of Game Theory , Operational Research , and Mathematical Economics , with emphasis on cooperative games, power indices, bankruptcy rules, and multi-issue allocation problems. Her work applies these concepts to real-world scenarios like food distribution logistics, European Union decision-making, and healthcare data analysis. Recent publications highlight her expertise in: Algorithmic methods for power indices in coalition-structured games Heuristic solutions for logistics and agricultural planning Statistical approaches to feature influence in classification problems Axiomatic characterizations of game theory solutions She has co-authored over 31 works since 2000, with significant contributions to journals like the European Journal of Operational Research and International Journal of Game Theory .

Fabian Bastinمشاهده پروفایل

استاد

• Operations Research
• Optimization
• Stochastic Programming
• +۴ مورد دیگر

Fabian Bastin is a Full Professor in the Department of Computer Science and Operational Research (IRO) at Université de Montréal. He holds a prestigious academic position within the university's research and teaching community. His work focuses on optimization, stochastic programming, simulation, and their applications in transportation, energy systems, and finance. Teaching Responsibilities: Bastin teaches advanced courses such as IFT-2505 (Linear Optimization), IFT-3515 (Nonlinear Programming), and IFT-6512 (Stochastic Programming). He also contributes to graduate-level courses on dynamic programming and simulation techniques. His courses emphasize theoretical foundations alongside practical applications, often using tools like MATLAB and the ORATIO library he helped develop. Research Interests: Bastin's research spans stochastic optimization, simulation methodologies, and decision-making under uncertainty. Key areas include air traffic management optimization, hydroelectric reservoir scheduling, and synthetic population generation using copula-based models. He has pioneered work on scenario tree generation for multistage stochastic programming and developed algorithms for efficient mixed logit model estimation. Research Contributions: His publications highlight advancements in stochastic models for transportation systems, energy planning, and financial engineering. Notable works include contributions to the progressive hedging algorithm, recursive logit models for route choice analysis, and Monte Carlo methods for option pricing. Bastin is also actively involved in software development, notably the ORATIO simulation library used in discrete-event modeling. Professional Engagements: He has co-organized conferences on optimization and simulation, and his work has been supported by grants from NSERC and other funding bodies. Despite no explicit mention of awards in the text, his extensive publication record and methodological innovations suggest significant recognition in his field.

• Ecology
• Water Quality
• Biodiversity
• +۶ مورد دیگر

Peter Goethals is a Professor at Ghent University (UGent) specializing in environmental science with extensive research in aquatic ecosystems, water quality assessment, and biodiversity metrics. His work bridges theoretical ecology with practical environmental management solutions across multiple continents. His research interests focus on Ecology , Water Quality , Biodiversity , Environmental Management , and Macroinvertebrates . Goethals has developed innovative approaches for ecosystem service assessment, habitat suitability modeling, and pollution impact analysis, with particular expertise in applying Bayesian belief networks and data-driven modeling techniques to complex environmental systems. Analysis of his 15 most recent publications reveals a strong emphasis on marine and freshwater ecosystems , with significant work in Ecuador and Belgium . His research spans from molecular-level biomarker analysis to large-scale climate impact assessments, demonstrating remarkable interdisciplinary integration. Recent work increasingly incorporates AI applications and advanced monitoring technologies like UAVs for environmental assessment. Goethals has supervised numerous PhD students including Diego Gustavo Panique Casso, Yanan Hu, and Jawad Ghafoor, with recent graduates in 2024-2025. His research has significant policy implications for water resource management and ecosystem conservation, particularly in developing regions facing rapid urbanization and climate challenges.

Elio Canestrelliمشاهده پروفایل

پژوهشگر

• Financial Mathematics
• Stochastic Programming
• Portfolio Optimization
• +۴ مورد دیگر

Elio Canestrelli is a Senior Researcher in the Department of Economics at Ca' Foscari University of Venice, specializing in mathematical methods applied to economics, actuarial science, and financial sciences (SSD SECS-S/06). His academic career spans over four decades with continuous research contributions from 1973 through 2019. Canestrelli's research focuses on the intersection of financial mathematics, stochastic programming, and portfolio optimization. His work demonstrates a consistent trajectory exploring quantitative approaches to financial decision-making, with particular emphasis on risk management, tracking error models, and multistage stochastic optimization problems. His research methodology often combines theoretical mathematical frameworks with practical applications in financial markets and port management systems. Analysis of his publication history reveals a dual research focus: financial mathematics (particularly portfolio optimization under uncertainty) and urban/port traffic management systems. His work on downside risk protection, volatility modeling, and ship traffic optimization in Venice demonstrates applied research addressing both theoretical financial problems and practical urban challenges. The chronological progression shows an evolution from foundational work in stochastic processes to sophisticated multistage optimization models. Canestrelli has served on the editorial board of Mathematical Methods in Economics and Finance , contributing to academic discourse in quantitative finance. His collaborative work spans multiple institutions and demonstrates interdisciplinary approaches to complex decision problems. His research includes significant contributions to Venice port management systems, particularly through the development of the MANTA project (Modello di Analisi del Traffico Acqueo), which applied GIS technology to water traffic analysis in Venice's historic city center. This work represents the practical application of his mathematical expertise to local urban challenges.

• Climate Change
• Biological Invasions
• Grassland Ecology
• +۴ مورد دیگر

Dietmar Moser is a researcher affiliated with the University of Vienna 's Faculty of Life Sciences and Department of Botany and Biodiversity Research . His work focuses on climate change impacts, biological invasions, and grassland biodiversity conservation. Research Themes : Climate change adaptation, invasive species dynamics, grassland restoration, and plant-insect interactions. Recent Projects : Developing biological invasion scenarios (2019–2022), grassland re-establishment (2014–2017). 2024 Highlights : Published on forest management bottlenecks in Nature Ecology and Evolution , global pathogen flows, and grassland insect conservation benefits. He actively collaborates across Europe on ecological modeling and contributes to science-policy dialogues.

• Biodiversity Conservation
• Human-Wildlife Coexistence
• Climate Change Impacts
• +۷ مورد دیگر

Anna Treydte is an Associate Professor in Nature and Environmental Management at the Department of Physical Geography, Stockholm University. She also holds Adjunct Professor positions at the University of Hohenheim (Ecology of Tropical Agricultural Systems) and the Nelson Mandela African Institution of Science and Technology (Dept of Life Sciences and Bioengineering). Her interdisciplinary research spans across multiple continents, addressing biodiversity conservation, human-wildlife coexistence, and sustainable rangeland management in diverse ecosystems including temperate climates (Germany, Sweden, Italy), desert environments (Mongolia, Saudi Arabia), savanna systems (eastern and southern Africa), mountain regions (Andes), and tropical forests (China, Vietnam, Thailand, Tanzania). Dr. Treydte's primary research focus lies in assessing how climate change and human activities alter structural, species and functional biodiversity of flora and fauna in natural and agro-ecological systems. She investigates plant-animal interactions, animal population management, human-wildlife coexistence, livestock impacts on rangelands, and shifts in nutrient cycling and carbon stocks across landscapes with varying human land use pressure. Her work uniquely integrates socio-ecological aspects, recognizing that sustainable human-wildlife coexistence requires local stakeholder participation in resource use decision-making. She employs diverse methodological approaches including field observations, laboratory experiments, GPS tracking, and socio-economic surveys to address complex conservation challenges. Her publication record demonstrates a strong focus on understanding human-environment interactions across diverse ecosystems. Recent work examines wildlife-livestock dynamics, invasive species management, land use change impacts on biodiversity, and socio-ecological approaches to conservation. A notable trend in her research is the integration of empirical field data with advanced modeling techniques to understand ecological processes across spatial and temporal scales. Her work frequently addresses the practical implications of ecological research for sustainable land management and conservation policy, with direct applications for pastoral communities and protected area management. Dr. Treydte actively supervises numerous graduate students at both the master's and doctoral levels, with current projects spanning topics from human-wildlife conflict to rangeland restoration technologies. She leads multiple research projects including 'Human-Wildlife Coexistence,' 'Rangeland Ecology,' and 'Invasive Plant Species Management,' funded by various sources including Stockholm University, FORMAS, and international collaborations. Her laboratory group, NG| Landskapsekologi (Landscape Ecology), conducts field work across multiple continents, with particular emphasis on eastern Africa. The group employs interdisciplinary approaches that combine ecological field studies, socio-economic surveys, and advanced spatial analysis to address pressing conservation challenges in human-dominated landscapes.

Nicholas Hendersonمشاهده پروفایل

استادیار

• Precision medicine
• Empirical Bayes methods
• Bayesian nonparametrics
• +۴ مورد دیگر

Nicholas Henderson serves as Assistant Professor in the Department of Biostatistics at the University of Michigan School of Public Health, applying advanced statistical methodologies to critical public health challenges. Previously, he completed a postdoctoral fellowship at Johns Hopkins University's Sidney Kimmel Comprehensive Cancer Center, establishing foundational expertise in cancer biostatistics. His academic credentials include: PhD in Statistics, University of Wisconsin-Madison (2015) MA in Mathematical Statistics, University of Maryland-College Park (2010) BS in Mathematics, University of Maryland-College Park (2008) BA in Economics, University of Maryland-College Park (2007) Henderson's research pioneers Bayesian nonparametric methods and machine learning for precision medicine, with emphasis on quantifying treatment effect heterogeneity in survival analysis and multi-omics data integration. He develops computationally efficient frameworks for individualized treatment effect estimation, particularly in censored data scenarios, advancing clinical decision support systems through tools like BEANZ (Bayesian Analysis of Heterogeneous Treatment Effects). Analysis of his 15 most recent publications (2023-2025) reveals dominant trends in Bayesian additive regression trees for survival inference, nonparametric methods for delayed treatment effects, and oncology applications focusing on prostate cancer genomics. His work bridges statistical innovation with immunology (alopecia areata mechanisms) and reproductive health, consistently addressing methodological challenges in real-world clinical data. No scientific awards were documented in the source material. Information regarding student advising, research grants, or laboratory facilities was not provided in the available documentation.

• Graph Mining
• Network Analysis
• Graph Representation Learning
• +۳ مورد دیگر

Yifei Jin is a WASP Industrial PhD student at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science, specifically within the Division of Theoretical Computer Science. They are supervised by Professor Aristides Gionis and Associate Professor Sarunas Girdzijauskas at KTH, and also serve as an Experienced Researcher at Ericsson Research and a Visiting Researcher at Yale University under Rex Ying and Leandros Tassiulas. Yifei's research focuses on graph mining , network analysis , and graph representation learning , particularly applied to crowdsourcing data and wireless communication systems. Their work intersects telecommunications network optimization machine learning for graph-structured data AI-driven wireless resource management edge computing and distributed AI as evidenced by their publications spanning 2017–2025. Their academic contributions include 15 recent papers exploring topics such as neural surrogates for voltage drop estimation, wireless ray-tracing models, scalable distributed AI deployment, and vehicle platooning coordination. These publications demonstrate expertise in network traffic reduction KPI conflict analysis graph convolutional networks hyperbolic embeddings for ontologies real-time network diagnostics .