جست‌وجوی استاد و پژوهشگر

Alissa Packerمشاهده پروفایل

دانشیار

• Plant Ecology
• Plant Defense Mechanisms
• Herbivore Interactions
• +۲ مورد دیگر

Alissa Packer is an Associate Professor of Biology at Susquehanna University, where she serves as Speaker of the Faculty and Department Head of Biology . She teaches courses including Ecology and Evolutionary Biology , General Ecology , Plant Physiology , and Plant-Animal Interactions , while also directing the Common Reading Program and contributing to the Committee on Teaching and Learning . PhD from Indiana University Bachelor's degree from Dickinson College Her research focuses on plant defense mechanisms, particularly the role of extrafloral nectaries and hydrogen cyanide in protecting plants against herbivores. She investigates whether these defenses are upregulated after plant damage and examines plant-soil biota interactions influencing species distribution. Her recent work spans plant-insect dynamics, soil pathogen effects on temperate trees, and science education innovations. Packer's publications highlight interdisciplinary trends in plant ecology, defense physiology, and pedagogy. Notable works include studies on induced defenses in sweet cherry ( Prunus avium ) and the ecological impacts of Prunus serotina in native and invasive ranges. She also explores service learning applications in non-majors biology courses. Active in professional societies such as the Ecological Society of America and the National Science Teachers Association , Packer bridges research and teaching through field studies and curriculum development.

• Plant Ecology
• Fire Ecology
• Restoration Ecology
• +۵ مورد دیگر

Associate Professor Tim Curran specializes in plant ecology within the Department of Pest-Management and Conservation at Lincoln University, New Zealand. His research focuses on plant responses to extreme disturbances through functional trait analysis, particularly pioneering work on plant flammability using innovative 'plant BBQ' methodologies. Current research addresses fire ecology, climate impacts, and restoration strategies across diverse ecosystems from alpine zones to tropical forests. Research interests span plant flammability mechanisms , drought-fire interactions , phylogenetic conservation of traits , and practical fire mitigation including green firebreak development. His work bridges fundamental ecology with applied solutions for wildfire management, contributing significantly to UN Sustainable Development Goals 13 (Climate Action), 15 (Life on Land), and 11 (Sustainable Cities). Recent publication trends reveal three dominant research streams: (1) Quantifying shoot/leaf flammability relationships across 66+ publications, (2) Investigating disturbance responses to cyclones, droughts and fires, and (3) Developing scalable methodologies for agricultural and wildland fire risk assessment. His 2022-2025 work shows increasing international collaboration and policy relevance, with high-impact studies in New Phytologist and Science . Professional Leadership : President of New Zealand Ecological Society (2019-present) Service Roles : Vice President (2017-2019), Councillor (2015-2017) Active in graduate supervision with completed projects on farm flammability measurement, drought-flammability physiology, and phylogenetic flammability patterns. Current teaching includes Field Ecology Methods (ECOL 293) and Research Methods for Ecology (ECOL 608). His 'plant BBQ' laboratory serves as the central experimental facility for flammability research, supporting both fundamental studies and practical fire management applications.

• Nutrition
• Foraging Ecology
• Grazing Management
• +۷ مورد دیگر

Professor Pablo Gregorini serves as Professor in the Department of Agricultural Sciences at Lincoln University, New Zealand, where he directs the Lincoln University Pastoral Livestock Production Lab and leads the Centre of Excellence for Designing Future Productive Landscapes. Internationally, he chairs the International Scientific Committee for the Nutrition of Herbivores and serves on the International Scientific Committee for farm systems design. He is also a member of the International Scientific Board of ALEPH (Interdisciplinary consortium working on 'the role of Animal Foods in Healthy, Sustainable and Ethical Diets') and NITRO-Oceania. Gregorini holds a PhD in Animal Science/Ruminant Nutrition and Foraging Ecology from the University of Arkansas, an MSc in Animal Production from Universidad Nacional de Mar del Plata, and a Bachelor in Agricultural Sciences from Universidad Nacional de La Plata. He is dual-certified as a Diplomate of the American College of Animal Nutrition and the American College of Applied Animal Behavior. His research program investigates nutrition, foraging ecology and grazing management of wild and domesticated ruminants across global grasslands and rangelands, with particular focus on how phyto-chemistry links human and herbivore palates with soil, plants and landscapes. Current projects include designing future grazing systems for grasslands and human health, animal design for future foodscapes, cattle and deer grazing personalities for mountainous landscapes, dietary variety for grazing ruminants, deer growth seasonality management, and nitrogen use efficiency where animals serve as environmental solutions rather than problems. His recent publication record demonstrates sophisticated integration of metabolomics, sustainable agriculture, and food systems research. Key trends include connecting plant-animal-human health through metabolomics, examining regenerative farming benefits for dairy products, and developing community-based frameworks for catchment management that address One Health principles. His work consistently bridges agricultural productivity with environmental sustainability and human health outcomes. Chair of the International Scientific Committee for the Nutrition of Herbivores (2019-Present) Head of Centre for LU Centre of Excellence 'Designing Future Productive Landscapes' (2019-Present) Diplomate of the American College of Animal Nutrition (2015-Present) Diplomate of the American College of Applied Animal Behavior (2015-Present) Editorial Board Member for Applied Animal Science and Journal of Animal Science Professor Gregorini actively supervises graduate research with completed projects spanning spatial agroecology modeling, high-country grassland grazing systems, low milk urea nitrogen dairy systems, functional dietary diversity, and strategic forage management. He serves on multiple editorial boards and contributes to national science challenges including 'Our Land and Water' Future Innovative Farms and Regenerative Agriculture programs. He leads the Lincoln University Pastoral Livestock Production Lab and contributes to multiple research networks addressing UN Sustainable Development Goals including Zero Hunger, Good Health and Well-Being, Clean Water and Sanitation, Sustainable Cities and Communities, Responsible Consumption and Production, Climate Action, and Life on Land through integrated agricultural research approaches.

• Tropical Ecology
• Forest Ecology
• Climate Change Impacts
• +۴ مورد دیگر

Yadvinder Malhi is a Professor at the University of Oxford, affiliated with the School of Geography and the Oxford University Centre for the Environment . He is also associated with Oriel College. His position as a Fellow of the Royal Society since 2017 highlights his significant contributions to environmental science. Professor Malhi's research focuses on tropical forest ecology , climate change impacts , and carbon cycling across ecosystems. His work spans multiple continents including South America (particularly the Amazon basin), Africa (Ghana), and Europe. He investigates how forests respond to climate change, with particular attention to functional traits, carbon dynamics, and ecosystem resilience. His research integrates field measurements with modeling approaches to understand large-scale ecological patterns. His publication record reveals a strong focus on global forest dynamics, with recent work examining wood density variation across elevational gradients, forest responses to climate warming, and the functional composition of tree communities. His research shows how forests are changing in response to climate change, often at rates insufficient to track changing climate conditions. Fellow of the Royal Society (2017) Professor Malhi actively collaborates with researchers worldwide, contributing to major studies on tropical forest ecology and climate change. His work bridges fundamental ecological research with practical applications for conservation and climate adaptation. He has served as a reviewer for prestigious journals including Nature Communications and Nature Ecology & Evolution, demonstrating his standing in the scientific community.

Teja Kattenbornمشاهده پروفایل

استاد

• Remote Sensing
• Environmental Studies
• Geoinformation
• +۷ مورد دیگر

Teja Kattenborn serves as Professor for Sensor-based Geoinformatics (geosense) at the University of Freiburg, Germany. With 118 publications, over 95,000 reads, and 7,103 citations, he has established himself as a leading researcher in remote sensing applications for ecological monitoring and environmental assessment. His work bridges advanced technological approaches with fundamental ecological questions, making significant contributions to understanding vegetation dynamics and forest health through innovative remote sensing methodologies. Professor Kattenborn's research focuses on integrating cutting-edge remote sensing technologies with ecological science to monitor plant species distributions, forest health, and ecosystem dynamics. His expertise spans UAV/drone imagery analysis, satellite data interpretation, and deep learning applications for vegetation mapping. He has pioneered methods to extract plant functional traits from spectral data, enabling new approaches to understanding biodiversity patterns and ecosystem responses to climate change. His work demonstrates how advanced computational techniques can transform raw remote sensing data into meaningful ecological insights about plant functioning and community composition. His recent publications reveal a strong emphasis on advancing remote sensing methodologies for ecological applications, particularly using deep learning for fine-grained plant species mapping, monitoring forest dieback and tree mortality at unprecedented scales, and retrieving plant functional traits from diverse remote sensing platforms. His research spans from centimeter-scale UAV applications to global analyses using satellite data, demonstrating both technical innovation and ecological relevance. Notably, his work increasingly addresses climate change impacts on forest ecosystems, particularly drought-induced forest dieback and its cascading effects on ecosystem services. Scientific recognition includes: Best oral presentation at the IAVS Annual Symposium 2019 Best oral presentation at the EARSel SIG Imaging Spectroscopy Workshop 2019 ARCADIS price for Geo- and environmental research Fellowship for UAV-Based beach-profile monitoring system Karl-Steinbuch-fellowship 2013 As principal investigator of the Sensor-based Geoinformatics (geosense) research group, Professor Kattenborn leads multiple collaborative projects, including participation in the ECOSENSE Collaborative Research Centre funded by the German Research Foundation (DFG). His extensive publication record with numerous co-authors across institutions indicates active mentorship of graduate students and postdoctoral researchers, though specific advisees aren't listed in the provided information. His research program appears well-funded through various national and international grants supporting innovative environmental monitoring approaches. The geosense research group develops and applies novel remote sensing techniques for environmental monitoring, with particular strengths in UAV-based systems, deep learning applications, and multi-sensor data fusion. Professor Kattenborn maintains extensive collaborations across Germany and internationally, as evidenced by his diverse publication record spanning European institutions and global research initiatives focused on forest ecology, biodiversity monitoring, and climate change impacts.

• Remote Sensing
• Geographic Information Systems
• Forest Engineering
• +۷ مورد دیگر

Prof. Dr. Mehmet YAVUZ is a Professor at Artvin Coruh University, Faculty of Forestry, Department of Forestry Engineering, specializing in Forest Management. He has served in various administrative roles including Dean (2025), Vice Dean (2023-2025), Department Head (2011-2014, 2020-2021), and Director of the Department (2010-2013). Professor at Artvin Coruh University (2024-present) Associate Professor at Artvin Coruh University (2019-2024) Assistant Professor at Artvin Coruh University (2009-2019) Research Assistant at Artvin Coruh University (2009) Research Assistant at State University of New York College of Environmental Science and Forestry (2003-2007) Prof. YAVUZ's research spans multiple domains within forestry and environmental science, with a strong emphasis on the application of geospatial technologies. His work focuses on soil erosion assessment and control, watershed management, forest fire behavior simulation, and wildlife habitat assessment. He has developed innovative methodologies using Remote Sensing and Geographic Information Systems to address critical environmental challenges including sediment pollution in the Black Sea region, flood-induced geomorphic changes, and forest inventory optimization. His research integrates field studies with advanced geospatial analysis to provide practical solutions for sustainable forest management. Prof. YAVUZ's publication record demonstrates a consistent focus on applying geospatial technologies to solve forestry and environmental challenges. His recent work (2021-2023) has centered on innovative monitoring of sediment and litter pollution in the Black Sea region, assessment of flood impacts using UAV technology, and development of models for erosion control ecosystem services. Earlier publications (2016-2020) focused on soil erosion modeling using RUSLE methodology, forest fire behavior simulation, and wildlife habitat assessment. His work consistently bridges theoretical research with practical applications for forest management and environmental conservation. Student of the Year Award (First Place in PhD), ASPRS, 2004 University Publication Incentive Award, Artvin Coruh University, 2017 Artvin Coruh University Scientific Publications Incentive Award, 2019 TUBITAK Turkey Addressed International Scientific Publications Incentive (UBYT) Program, 2018 Prof. YAVUZ has supervised numerous graduate theses focusing on forest ecosystem erosion prevention, mechanical control of weeds in pine forests, landslide assessment using georadar technology, and wildlife population studies. He has been involved in multiple research projects, including international EU-funded initiatives like 'Protect-Streams-4-Sea' aimed at reducing sediment and litter pollution in the Black Sea region, and national projects addressing landslide detection, forest rehabilitation, and wildlife habitat assessment. His work has secured funding from various sources including TUBITAK and university research grants. Prof. YAVUZ is actively involved in research teams focusing on geospatial analysis for environmental monitoring, particularly in the Coruh River Basin. His work with international collaborators from Greece, Romania, Ukraine, and other Black Sea region countries has led to innovative approaches for addressing transboundary environmental challenges. He has contributed to the development of protocols for forest cover estimation and erosion risk assessment that are being implemented in watershed management practices across the region.

Michael Pradelمشاهده پروفایل

استاد

• Software Engineering
• Programming Languages
• Program Analysis
• +۶ مورد دیگر

Michael Pradel is a full professor at the University of Stuttgart and a faculty member at the CISPA Helmholtz Center for Information Security. He leads the Software Lab at the University of Stuttgart and holds additional affiliations with the International Max Planck Research School (IMPRS) for Intelligent Systems and the Stuttgart ELLIS Unit. Previously, he served as an assistant professor at TU Darmstadt, a postdoctoral researcher at UC Berkeley, and a lecturer and postdoctoral researcher at ETH Zurich, where he completed his PhD. His educational background includes computer science studies at TU Dresden and engineering studies at Ecole Centrale Paris, with a master's thesis conducted at EPFL. He has taken sabbaticals at Facebook, UC Berkeley, and UCLA. Pradel's research spans software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. He is particularly interested in neural-symbolic software analysis, analyzing web applications, dynamic analysis, and test generation. His recent work increasingly incorporates large language models for software engineering tasks including bug detection, test generation, and program repair. His research group has produced significant work in WebAssembly analysis, Python dynamic analysis, quantum program analysis, and automated program repair, with notable tools including Wasm-R3, DynaPyt, LintQ, and RepairAgent. Ernst-Denert Software Engineering Award Emmy Noether grant by the German Research Foundation (DFG) (1.3 million Euro) ERC Starting Grant (1.5 million Euro) Best/Distinguished Paper Awards at FSE (3x), ISSTA, ASE, ASPLOS, and MSR ACM Distinguished Member Multiple ACM SIGSOFT Distinguished Paper and Artifact Awards Pradel has advised numerous PhD students including Matteo (thesis on "Testing and Analysis of Quantum Software"), Luca (thesis on "Supporting Software Evolution via Search and Prediction"), and Daniel (thesis on program analysis for WebAssembly). His research has been supported by significant grants including the Emmy Noether grant and ERC Starting Grant. He serves in leadership roles for major conferences including PC co-chair for FSE 2027 and area chair for ICSE 2026. Pradel leads the Software Lab at the University of Stuttgart, which includes visiting professors Cristian Cadar and Prem Devanbu (both supported by Humboldt Research Awards). The lab maintains active collaborations with institutions including CMU, Google, KAIST, and USI Lugano, and regularly contributes to major software engineering conferences.

Ying Zouمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence for Software Engineering
• Software Evolution
• +۲ مورد دیگر

Dr. Ying Zou is a Professor in the Department of Electrical and Computer Engineering at Queen's University's Smith Engineering faculty in Kingston, Ontario, Canada. With an extensive publication record spanning from 2018 through 2025, Dr. Zou has established herself as a leading researcher in empirical software engineering with a growing focus on AI integration. Dr. Zou's research focuses on Software Engineering , Artificial Intelligence for Software Engineering (AI4SE) , Software Evolution , Software Analytics , and Empirical Software Engineering . Her work bridges theoretical approaches with practical applications, examining developer behavior, code quality improvement, and AI techniques for software engineering tasks. Recent publications demonstrate a clear progression from traditional empirical studies toward more AI-centric approaches, particularly in code refactoring, type inference, and performance analysis. Analysis of Dr. Zou's publication trends reveals a strategic evolution in her research focus. Early work centered on empirical studies of Stack Overflow and GitHub, while recent publications increasingly integrate large language models and AI techniques for software engineering tasks. Her research spans multiple dimensions including code quality, developer productivity, open source community dynamics, and performance optimization, with consistent methodological rigor in empirical validation. Dr. Zou has served in numerous leadership roles across major software engineering conferences including ASE, ICSE, and ESEC/FSE. She has been a Program Committee member for multiple tracks and conferences, and notably served as New Faculty Mentoring Co-Chair for ESEC/FSE 2026. Her service to the community extends to organizing conference tracks, chairing sessions, and mentoring new researchers in the field.

Amy Lovejoy Morkمشاهده پروفایل

استادیار

• Medical Education
• Anatomy
• Primate Evolutionary Morphology
• +۳ مورد دیگر

Amy Lovejoy Mork, Ph.D., serves as an Assistant Professor in the Department of Pathology & Anatomy at Morehouse School of Medicine, where she integrates evolutionary morphology with medical education curriculum development. Her academic home within the institution focuses on anatomical sciences instruction for medical students. Education: Doctor of Philosophy in Cellular and Molecular Biology, Kent State University Master of Arts in Biological Anthropology, Kent State University Bachelor of Arts in English and World Literature, Pitzer College Dr. Mork's research demonstrates a significant scholarly evolution from primate evolutionary morphology to medical education innovation. Early work examined craniofacial development and biomechanics in New World monkeys, particularly marmosets, focusing on adaptations for tree gouging and jaw mechanics. Since transitioning to medical education, her research centers on curriculum design, student remediation strategies, and dissection group dynamics in gross anatomy laboratories. Her interdisciplinary approach uniquely bridges biological anthropology with contemporary medical pedagogy, emphasizing evidence-based teaching methods and professional development through cadaver-based learning. Analysis of her publication record reveals a distinct shift from basic science research (2005-2010) to educational scholarship (2012-2015). While her early work appeared in primatology and anatomy journals, recent publications address critical challenges in medical education including academic deceleration, course remediation, and professionalism development. This trajectory reflects her successful adaptation of evolutionary morphology expertise to solve practical problems in medical curriculum design. Scientific Awards: AAA Student/Postdoctoral Travel Award ($350) from American Association of Anatomists for Annual Meeting 2011 Graduate Student Travel Grant ($500) from Kent State University for American Association of Physical Anthropology Annual Meeting 2011 AAA Student/Postdoctoral Travel Award ($350) from American Association of Anatomists for Annual Meeting 2010 Graduate Student Travel Grant ($500) from Kent State University for American Association of Anatomists Annual Meeting 2010 Graduate Student Travel Grant ($500) from Kent State University for American Association of Physical Anthropology Annual Meeting 2009 Graduate Student Travel Grant ($500) from Kent State University for American Association of Physical Anthropology Annual Meeting 2008 Graduate Student Travel Grant ($500) from Kent State University for American Association of Physical Anthropology Annual Meeting 2007 Graduate Student Travel Grant ($500) from Kent State University for American Association of Physical Anthropology Annual Meeting 2005 Dr. Mork actively contributes to medical education innovation through collaborative research with colleagues D.F. Paulsen, B. Klement, and L.E. Wineski. Her work focuses on optimizing first-year medical curricula, particularly in gross anatomy instruction, where she implements strategies like dissection group rotation to enhance professionalism and learning outcomes. While no major external grants are documented, her travel awards supported national conference presentations that disseminated her educational research findings. Her scholarship demonstrates consistent productivity in adapting biological principles to medical education challenges. Her medical education research operates within Morehouse School of Medicine's gross anatomy teaching laboratories, where she applies evolutionary morphology insights to enhance cadaver-based learning. Though no dedicated research laboratory is specified, her work integrates seamlessly with the institution's educational mission through curriculum development initiatives and direct student instruction in anatomical sciences.

Abigail Lanfordمشاهده پروفایل

مدرس

• Women's Mental Health
• Trauma Recovery
• Adolescent Development
• +۶ مورد دیگر

Abigail Lanford is a Visiting Lecturer in the Department of Behavioral Sciences at Flagler College and a Licensed Mental Health Counselor. She is the founder and owner of Ataraxia Counseling, a private group practice in St. Augustine providing trauma-informed care to adolescents, adults, couples, and families. Her educational background: Bachelor of Arts in Psychology from Flagler College (2020) Master of Science in Clinical Mental Health Counseling with a specialization in Marriage and Family Counseling from Jacksonville University (2023) Ms. Lanford specializes in the following areas: Women's Mental Health Trauma Recovery Adolescent Development First Responders Mental Health Relationships Her clinical training includes Eye Movement Desensitization and Reprocessing (EMDR), Level 1 Gottman Method Couples Therapy, and fire service cultural competency training. She integrates multicultural, feminist, humanistic, and strengths-based frameworks into her teaching and therapy, with professional interests spanning counselor education, trauma theory, gender and identity development, and sociopolitical impacts on mental health. Ataraxia Counseling, founded in early 2024, has expanded into a group practice with five additional contractors. It offers individual and couples therapy, EMDR therapy, psychiatric care, medication management, and trauma-informed yoga. She also contracts with the Elbow Tree Cooperative to support first responder resilience in St. John’s County through counseling for fire rescue personnel and their families.

• Neuroscience
• Neural Circuits
• Sensory Processing
• +۵ مورد دیگر

Michael Harvey is a Lecturer in the Medicine Section at the Faculty of Science and Medicine, University of Fribourg. He holds a dual role as Technical Officer within the same section, focusing on academic and technical support. His research primarily centers on neurophysiological mechanisms, particularly the interplay between basal forebrain, thalamus, and cortical networks in regulating sensory processing and behavioral states. Dr. Harvey’s work emphasizes neural circuit dynamics, including optogenetic modulation of brain regions like the visual thalamus and basal forebrain. His studies explore how these areas govern attention, sleep architecture, and default mode network activity. Key topics include frequency-specific modulation of auditory cortex, temporal coding in somatosensory systems, and the role of ventral pallidum in transitioning between internal and external behavioral states. His publications span 20 years, with a focus on neural network regulation, thalamic gate control, and neurophysiological adaptations across species. While no formal awards are listed, his contributions to understanding cortical-laminar dynamics and optogenetic applications highlight innovative methodological approaches. No students or grants are explicitly mentioned in the provided information.

Ben Talbotمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Robotics
• Artificial Intelligence
• Robot Navigation
• +۵ مورد دیگر

Dr. Ben Talbot is a Research Fellow at the Queensland University of Technology (QUT) , affiliated with both the Australian Centre for Robotic Vision (ACRV) and the QUT Centre for Robotics (QCR) . He earned a PhD in 2018 and a BEng (Honours I) in Electrical Engineering in 2012 from QUT. Ben specializes in cognitive robotics , artificial intelligence , and real-world robotic applications , with a focus on translating theoretical advances into practical systems. PhD , Robotics, Queensland University of Technology, 2018 BEng (Honours I) , Electrical Engineering, Queensland University of Technology, 2012 His research explores robot navigation using abstract maps , semantic SLAM , and human-inspired spatial reasoning , particularly in unseen environments . He pioneered the Abstract Map framework, which enables goal-directed exploration through symbolic spatial information. His work emphasizes open-source software like BenchBot and OpenSeqSLAM2.0 , enhancing robotics community accessibility. Ben's publications span 2013–2023, showcasing advancements in controller fusion , scene understanding , and sim-to-real transfer . Notable trends include integrating reinforcement learning with classical control and developing dynamic spatial models for navigation. Awarded Best Student Paper at ACRA 2015 and multiple Vice-Chancellor's Awards in 2015, Ben also received the Dean's Scholars Award in 2009. His work has been featured in The LABS and Brisbane Times media outlets. Beyond research, Ben contributed to robotics education as Head Tutor for Advanced Robotics and Microprocessors & Digital Systems during his PhD. He actively supports active scene understanding via high-fidelity simulated environments and robust API designs, aligning with QUT's commitment to bridging classical and modern robotics.

Alexander Drewitzمشاهده پروفایل

استاد

• Probability Theory
• Percolation Theory
• Random Geometric Structures
• +۴ مورد دیگر

Prof. Dr. Alexander Drewitz is a Professor in the Department of Mathematics and Computer Science at the University of Cologne, specifically within the Division of Mathematics. His research focuses on probability theory, with primary interests in percolation theory, random geometric structures, transport processes in random media, and applications of high-dimensional probability to data science. He has held prior positions as an ETH Fellow at ETH Zurich and as a J.F. Ritt Assistant Professor at Columbia University. His work bridges theoretical advancements with practical applications, particularly in understanding critical phenomena and stochastic processes in complex systems. Education: Doctorate in Mathematics (details not explicitly provided in text). Research Interests: Prof. Drewitz explores percolation models, Gaussian free fields, random interlacements, and concentration of measure phenomena. His studies often address geometric and dynamic properties of random structures, with implications for data science and statistical physics. Recent work includes investigations into cluster volumes, arm exponents, and universality classes in percolation models. Publications Trends: His 15 most recent articles (2008–2025) reflect a focus on Gaussian free fields, random interlacements, branching processes, and long-range correlations. Key themes include percolation thresholds, invariance principles, and high-dimensional asymptotics. Grants & Activities: Organized conferences like 'Long-range phenomena in percolation' (2024) and 'Geometric and Topological Properties of Random Algebraic Varieties' (2023). Co-founded the Scientific Network on Stochastic Processes on Evolving Networks. Labs/Teams: Active in the Center for Data and Simulation Science at Cologne, contributing to interdisciplinary research on random geometry and data-driven methods. Leads the stochastics seminar and Bonn Cologne Mathematics-Physics seminar.

Phil Dennisonمشاهده پروفایل

استاد

• Remote Sensing
• Vegetation
• Imaging Spectroscopy
• +۳ مورد دیگر

Phil Dennison is a Professor of Geography at the University of Utah's School of Environment, Society & Sustainability, where he serves as Director of the URSA Lab (University of Utah Remote Sensing and Applications Laboratory). Based in Gardner Commons Room 4848, he teaches core remote sensing courses including GEOG 3110 (The Earth from Space) and advanced courses in optical remote sensing and vegetation mapping. Ph.D., Geography, University of California Santa Barbara, 2003 M.A., Geography, University of California Santa Barbara, 1999 B.S., Geography, Penn State University, 1997 Dr. Dennison's research bridges remote sensing technology with critical environmental challenges. His primary focus areas include: Wildfire Safety Systems - Developing geospatial tools like GeoLCES for firefighter lookouts and escape routes Vegetation Monitoring - Using imaging spectroscopy for non-photosynthetic vegetation and biomass mapping Greenhouse Gas Tracking - Satellite-based methane emission detection and quantification Natural Hazard Assessment - Drought impacts on forest mortality and fuel moisture monitoring Analysis of his 15 most recent publications (2024-2025) reveals a strategic shift toward operational safety applications , with 60% of articles directly addressing wildfire fighter safety through geospatial decision support. His technical approach increasingly integrates machine learning with multi-sensor platforms (lidar, hyperspectral, satellite), while maintaining strong field campaign components like NASA's FireSense. The work demonstrates exceptional cross-domain applicability from Piñon-Juniper woodlands to global methane monitoring. As Director of the URSA Lab, Dr. Dennison leads a research ecosystem focused on translating remote sensing data into actionable public safety tools. His team actively collaborates with federal agencies including NASA and USFS, with recent work directly informing wildfire evacuation protocols and emission monitoring standards. The lab maintains strong field validation components through campaigns like FIREX-AQ, ensuring practical relevance of technical innovations.

• Machine Learning
• Deep Learning
• Neural Architecture Search
• +۳ مورد دیگر

Paul Temple is an active researcher at the Faculty of Computer Science, University of Namur, specializing in machine learning applications for software systems. His work bridges artificial intelligence, deep learning optimization, and configurable software engineering. Research focuses on energy-aware neural architecture search , variability-intensive systems , and constraint-integrated machine learning . Key contributions include developing genetic algorithms for balancing AI performance/consumption (SmartTune project) and RNN-based log analysis for software variants (VaryMinions). Fingerprint analysis reveals expertise in machine learning (100%), computer codes (75%), constraints (56%), neural networks (39%), and decision trees (37%). Notable projects include VeriLearn (2018-2022) verifying AI systems and SmartTune (2021-2025) for hyperparameter optimization. Recent publications (2023-2025) demonstrate consistent output in top venues like Empirical Software Engineering and Pattern Recognition. His h-index of 165 indicates significant scholarly impact. Academic activities include 6 oral presentations (2017-2020) on topics like adversarial configurations for software product lines and ML-enabled configurable systems. Supervised Work (2) suggests mentorship of junior researchers.