جست‌وجوی استاد و پژوهشگر

• Floristics
• Herbarium Curation
• Plant Conservation
• +۴ مورد دیگر

Joey T. Shaw is a Professor at the University of Tennessee at Chattanooga, specializing in plant systematics and conservation biology. His work bridges traditional herbarium curation with modern molecular techniques and digital biodiversity informatics. PhD in Botany (Molecular Systematics and Chloroplast Evolution), University of Tennessee, Knoxville (2005) MS in Botany (Floristics, Herbarium Curation, Biodiversity Inventories), University of Tennessee, Knoxville (2001) BS in Biology, University of Tennessee at Chattanooga (1998) Shaw's research integrates floristic studies of the Southeastern United States with advanced molecular systematics and phylogeographic analysis . His lab focuses on: Baseline floristic data for conservation planning Chloroplast genome evolution in Prunus species Digitization of over 1 million Tennessee herbarium specimens Conservation metrics for rare and invasive plant species Public outreach through the Spring Wildflower Pilgrimage Recent publications highlight his leadership in: Digital herbarium workflows using AI/ML models Conservation status modeling for Tennessee flora Phylogenetic resolution in angiosperms Collaborative field-to-database research frameworks Scientific Awards : 2015 Elizabeth Ann Bartholomew Award Shaw actively mentors students through: Field botany programs Molecular systematics lab work Thesis supervision in plant ecology Outreach education initiatives

Gregory Bonitoمشاهده پروفایل

دانشیار

• Mycology
• Plant-Fungal Interactions
• Truffle Ecology
• +۳ مورد دیگر

Gregory Bonito, Ph.D., is an Associate Professor in the Department of Plant, Soil and Microbial Sciences at Michigan State University (MSU), within the College of Agriculture & Natural Resources. His research focuses on fungal-bacterial plant interactions, particularly truffle ecology, mycology, and microbiome dynamics. He holds a Ph.D. in Biology from Duke University, an M.S. in Conservation Ecology from the University of Georgia, and a B.S. in Ecology from Appalachian State University. His lab investigates the ecology and evolution of plant-associated fungi, using phylogenetics, genomics, and –omics approaches. Key research areas include the functional diversity of root-associated fungi, bacterial symbionts in fungi, and microbiome-driven nutrient cycling. Applications span sustainable agriculture, forestry, and biodiversity conservation. Dr. Bonito’s work bridges fundamental research and applied solutions, including truffle cultivation and bioenergy crop microbiome optimization. He teaches Advanced Mycology (PLB 847) and collaborates on projects like the Bonito Lab at MSU, which explores symbiotic relationships in soils and plant microbiomes. His lab’s recent studies involve new truffle species discovery, fungal endosymbiont genomics, and the impact of genetic modifications on crop microbiomes. Education: Ph.D., Biology, Duke University M.S., Conservation Ecology & Sustainable Development, University of Georgia B.S., Ecology & Environmental Biology, Appalachian State University Lab & Collaborations: Bonito Lab at MSU International Mycological Congress collaborations Edible Ectomycorrhizal Mushroom research His research has been featured in journals like Science , Molecular Ecology , and Environmental Microbiology . Current projects include truffle biodiversity in North America and the role of fungal endosymbionts in stress tolerance.

• Model-Driven Engineering
• Software Product Lines
• Variability Management
• +۵ مورد دیگر

Jean-Marc Jézéquel is a prominent professor and researcher at IRISA (Institut de Recherche en Informatique et Systèmes Aléatoires) in Rennes, France, a joint research unit of INRIA, CNRS, and the University of Rennes. His extensive publication record spanning over two decades demonstrates his significant contributions to software engineering, particularly in model-driven engineering and software product lines. His research expertise encompasses several critical areas in contemporary software engineering. Jézéquel has pioneered work on managing uncertainty in model-based development, developing frameworks like DataTime for temporal reasoning in models. He has made substantial contributions to deep variability management across multiple layers of software systems, investigating how compile-time and run-time configuration options interact. His recent work increasingly integrates machine learning techniques with traditional software engineering approaches, creating innovative hybrid methodologies for software development and analysis. Jézéquel's publication trends reveal a clear evolution in his research focus, moving from foundational model-driven engineering concepts toward addressing uncertainty, incorporating temporal aspects into models, and leveraging machine learning for software analysis and development. His work spans both theoretical foundations and practical industrial applications, with notable collaborations including projects with Airbus on specialized software product line engineering. The interdisciplinary nature of his research connects software engineering with artificial intelligence, data science, and systems engineering. His significant contributions to the field include foundational work on model transformation, software language engineering, and variability management. Jézéquel has helped advance model-driven engineering from what he describes as 'craft' to a more systematic engineering discipline, as evidenced in his publications spanning from early 2000s to the present. As an academic leader, Jézéquel has supervised numerous PhD students and maintained extensive international collaborations. His work demonstrates a consistent commitment to bridging the gap between academic research and industrial software development practices, with applications ranging from aerospace systems to urban transportation solutions.

Joëlle Barido-Sottaniمشاهده پروفایل

پژوهشگر

• Phylogenetics
• Bayesian Inference
• Diversification Models
• +۳ مورد دیگر

Joëlle Barido-Sottani is a postdoctoral researcher at École Normale Supérieure (ENS), focusing on developing mathematical models to study diversification processes using phylogenetic analysis. Her research integrates birth-death processes, Bayesian inference, and fossil data to understand evolutionary dynamics. She contributes to software frameworks like BEAST2 and RevBayes , enhancing tools for phylogenetic analysis and phylodynamic studies. Her work bridges evolutionary biology and computational methods, emphasizing methodological advancements in fossil integration and model development. Her research interests include phylogenetic modeling , Bayesian statistical methods , and the application of these techniques to study diversification patterns across species. She has developed computational tools such as FossilSimShiny and EvoPhylo , which facilitate simulations and data preprocessing in evolutionary studies. Her recent work highlights the importance of integrating fossil records with modern species data to improve estimates of historical diversification rates. Over the past few years, her publications have focused on enhancing phylogenetic inference through methodological innovations. For example, her work on the Multi-Type Fossilized Birth-Death model (2025) addresses heterogeneous diversification rates, while her guidelines for MCMC-based Bayesian inference (2024) provide practical frameworks for researchers. She has also contributed to epidemiological applications of phylogenetic models, extending their utility beyond traditional evolutionary studies. Barido-Sottani’s collaborations emphasize open-source software development, enabling broader accessibility to advanced phylogenetic tools. Her teaching efforts, such as organizing virtual workshops like Taming the BEAST , reflect her commitment to advancing computational training in evolutionary biology.

Tilmann Zäschkeمشاهده پروفایل

پژوهشگر

• Computer Science
• Database Systems
• Data Structures
• +۴ مورد دیگر

Dr. Tilmann Zäschke is a researcher at the Professorship for Computer Science at ETH Zürich, Switzerland. His work focuses on database systems, data structures, and agile software development, particularly in the context of object-oriented databases and multidimensional indexing. Current affiliation: ETH Zürich Research areas: Database systems, data structures, schema evolution, agile development His research explores optimizing spatial data indexing through structures like the PH-tree, improving conceptual data models iteratively, and enabling agile development practices in object databases. Key trends in his publications include advancements in multidimensional indexing, graph data processing, and schema evolution techniques. Dr. Zäschke has contributed to academic literature on topics such as hypercube traversal algorithms, benchmarking graph data management, and adaptive model-driven systems development.

• Software Engineering
• Software Defect Prediction
• Machine Learning for Software Engineering
• +۷ مورد دیگر

Akito Monden is a prolific Japanese software-engineering scholar with 171 publications recorded in dblp during 1995-2025. His recent work centres on defect prediction, online learning, bandit-based tool selection, and empirical studies of software quality and human factors. Research interests span software defect prediction, mining software repositories, effort estimation, clone detection, code generation, and the application of machine-learning techniques (notably bandit algorithms and ensemble methods) to practical software-engineering tasks. He also investigates requirements ambiguity, security-bug identification with large language models, and gaze-based human-computer interaction in programming education. Across 2022-25 articles Monden explores online learning to cope with concept drift in defect datasets, multi-armed bandit algorithms for dynamic selection of clone detectors, fault-localisation techniques and code generators, and LLM-based security-bug detection. These themes reflect a sustained focus on data-driven, adaptive approaches that improve software quality assurance processes.

• Cybersecurity
• Machine Learning
• Network Security
• +۳ مورد دیگر

Shawkat K. Guirguis is an academic researcher with a focus on cybersecurity, machine learning, and IoT technologies. His work spans across intrusion detection systems, botnet prevention, and adaptive algorithms for network security. He has contributed to advancements in deep learning applications for social media analysis and real-time trajectory compression. His research often intersects with practical implementations in smart cities and healthcare authentication systems. Key areas of exploration include the use of boosting algorithms, tree-based models, and blockchain integration to enhance IoT security. His publications highlight contributions to wireless sensor networks and stock prediction models. Despite extensive research output, affiliations such as university or department remain unspecified in available records.

• Foreign Language Education
• Tourism Management
• Intercultural Communication
• +۳ مورد دیگر

Prof. Dr. Elena Cickovska is an Assistant Professor at the Faculty of Tourism and Hospitality Management (FTU) within Ss. Cyril and Methodius University in Skopje, specializing in German language education and intercultural communication. Her work focuses on language pedagogy tailored for tourism professionals, curricular development aligned with market needs, and the integration of digital tools in education. She collaborates closely with institutions like the Goethe-Institut, contributing to regional educational frameworks for language instruction. Research interests span multilingual communication in business contexts, the evolving role of educators in higher education, and generational learning dynamics (Gen Z). She emphasizes bridging language education with practical tourism sector demands, particularly in Macedonia and Europe. Key contributions include developing blended learning platforms for tourism students and analyzing intercultural competencies among tourist guides. Her publications address mismatches between language education offerings and industry needs, post-pandemic teaching methodologies, and the importance of multilingual skills for entrepreneurs. Ongoing work explores curriculum reforms to better serve vocational student populations and global business communication strategies.

Tamsin Edwardsمشاهده پروفایل

استاد

• Climate Change
• Glaciology
• Sea Level Rise
• +۳ مورد دیگر

Professor Tamsin Edwards is a climate scientist specializing in quantifying uncertainties in climate model predictions, particularly focusing on ice sheets and glaciers' contributions to sea level rise. She holds a joint appointment as Professor of Climate Change in the Department of Geography at King's College London, within the School of Global Affairs. Her academic roles include leadership in the IPCC's Sixth Assessment Report and serving as the UK Parliament's first Thematic Research Lead for Climate & Environment. Edwards earned a PhD in High Energy Physics from the University of Manchester and transitioned to climate science, leveraging her expertise in uncertainty analysis. Her research integrates paleoclimate data with future projections, emphasizing Antarctic and Greenland ice dynamics. Key collaborations include ISMIP6 initiatives and projects like PROTECT (assessing sea-level implications). Edwards is recognized for bridging science and policy through media engagement (BBC, Guardian) and public communication platforms (blogging, Twitter @flimsin). Her work addresses both scientific rigor and societal relevance, addressing climate risks and adaptation strategies. Recent research trends highlight advancements in ice sheet modeling, uncertainty frameworks (e.g., the FACTS platform), and interdisciplinary approaches to climate impacts. Awards include her role in landmark IPCC reports and recognition for science communication. Edwards co-leads King's Climate Research Hub and contributes to global environmental policy discussions through platforms like COP26.

Laura Tateosianمشاهده پروفایل

استاد آموزشی

• Geospatial Analytics
• Environmental Modeling
• Remote Sensing
• +۳ مورد دیگر

Laura Tateosian is an Assoc Teaching Professor at the Center for Geospatial Analytics, North Carolina State University, within the College of Natural Resources. She specializes in geospatial-temporal data visualization and computational methods for environmental analysis. Her research focuses on innovative data representation, including eye-tracking studies for geospatial interaction, open-source database management, and coastal terrain visualization. She has developed graduate courses in geospatial algorithms and programming. Her research interests span geospatial analytics, environmental modeling, and the application of computational methods to address societal challenges such as plant disease pandemics and urban park usage. She has contributed to projects like the Plant Aid Database (PAdb) for predicting disease spread and collaborated with Wake County on geospatial solutions for public infrastructure. Grants : PIPP Phase I ($1M NSF grant): Predictive tools for plant disease pandemics Geo-IDEAs: Wake County geospatial application development Laboratory for Analytic Sciences projects on sensemaking and narrative processing Laura has extensive experience in interdisciplinary projects, including fire management systems for the National Park Service and terrain evolution visualization for climate change studies. Her work bridges computational science with real-world applications in agriculture, ecology, and urban planning.

Mehmet Somelمشاهده پروفایل

استاد

• Evolutionary Genetics
• Archaeogenomics
• Molecular Biology of Aging
• +۳ مورد دیگر

Mehmet Somel is a Professor at the Department of Biological Sciences, Middle East Technical University (METU), Ankara, Turkey. He leads the METU/Hacettepe Archaeogenomics Laboratory and focuses on evolutionary genetics, archaeogenomics, and the molecular mechanisms of aging. His research integrates genomic and transcriptomic data to address questions about human evolution, domestication processes, and population dynamics. Education: Ph.D. in Evolutionary Anthropology, University of Leipzig / Max-Planck Institute (2008) M.Sc. in Biotechnology, Middle East Technical University (2003) B.Sc. in Biological Sciences, Middle East Technical University (2001) Research Interests: Dr. Somel’s work spans evolutionary genetics, archaeogenomics, and aging. Key areas include ancient DNA analysis of humans and domestic animals, population genomics of modern populations, and the molecular basis of brain aging. His laboratory contributes to understanding human demographic history and the genetic underpinnings of complex traits. Recent Research Trends: Recent studies focus on phylogenetic analysis of Mediterranean mouflons, pre-processing techniques for ancient genomes, and the population history of domestic sheep. His work bridges archaeology, genetics, and computational biology to reconstruct past human and animal populations. Labs/Teams: He directs the Ancient DNA Laboratory and collaborates with international teams on projects like the NEOGENE Project (ERC-funded) examining Neolithic demographic transitions in Anatolia.

Marc H. Meyerمشاهده پروفایل

استاد

• Entrepreneurship
• Innovation Management
• Corporate Growth Strategies
• +۳ مورد دیگر

Marc H. Meyer is the Robert J. Shillman Professor of Entrepreneurship and Matthews Distinguished Professor at Northeastern University's D'Amore-McKim College of Business. He leads the Entrepreneurship and Innovation Group, founded the Center for Entrepreneurship Education, and oversees Northeastern's NSF I-Corps Site program. His work focuses on product platforms, innovation ecosystems, and experiential learning systems. Education: BA in Government & Economics from Harvard, MS in Management from MIT, and PhD in Management of Technology from MIT. His research bridges academic theory and industry practice, emphasizing scalable innovation frameworks and corporate growth strategies. Research interests include product architecture, business model design, and entrepreneurship education. He has co-founded multiple tech startups and advised firms like IBM and P&G on innovation strategy. Over 100 ventures from his IDEA incubator have raised $750M in VC funding. Awards include the Academy of Management's Practice Impact Award (2019) and NSF I-Corps funding. His teaching innovations earned recognition from Northeastern's Graduate Teaching Award (2017). He also directs the Mayo Clinic partnership for a Digital Healthcare Transformation program. Key contributions span academic leadership, entrepreneurship pedagogy, and bridging university-industry innovation gaps through platforms like the Deshpande Foundation-recognized Entrepreneurial University initiative.

Gijsbert Wernerمشاهده پروفایل

پژوهشگر ارشد

• Evolutionary Biology
• Cooperation Evolution
• Mutualism Evolution
• +۵ مورد دیگر

Dr. Gijsbert Werner is a Senior Research Fellow at the Netherlands Scientific Council for Government Policy, where he provides scientific policy advice on strategic societal issues. Previously, he held roles as a Research Associate in Oxford's Department of Zoology, a Junior Research Fellow at Balliol College Oxford, and a Newton International Fellow. His research focuses on the evolution of cooperation, mutualisms, biological markets, and interdisciplinary applications of evolutionary theory. He earned a PhD (cum laude) in evolutionary biology from the Vrije Universiteit Amsterdam, an MSc from Oxford, and a BSc from Utrecht University. Key research interests include symbiotic relationships (e.g., mycorrhizal fungi, legume-rhizobia interactions), phylogenetic comparative methods, and the application of evolutionary principles to human behavior and policy. He developed the sensiPhy R package for statistical sensitivity analysis. Awards include the 2016 Hugo de Vries Prize and the 2018 Jasper Loftus-Hills Young Investigator Award. His current project at WRR addresses sustainable healthcare systems. He also engages in interdisciplinary initiatives, such as applying evolutionary approaches to behavioral economics through the Balliol Interdisciplinary Institute.

Bernardo Gutierrezمشاهده پروفایل

پژوهشگر

• Evolutionary Genetics
• Virology
• Epidemiology
• +۳ مورد دیگر

Bernardo Gutierrez is a Postdoctoral Researcher at the University of Oxford’s Department of Biology and the Oxford Martin School Pandemic Genomics Programme, affiliated with the Pybus and Kraemer research groups. His work focuses on evolutionary genetics of emerging viruses, genomic epidemiology, and integrating genomic, epidemiological, and mobility data to model epidemic trajectories. He explores early viral spread, spillover events, and the impact of human mobility on infectious disease dynamics. Research Interests Evolutionary mechanisms of viral emergence and adaptation Genomic sampling biases in pathogen surveillance One Health approaches to zoonotic disease surveillance Geographic spread modeling of SARS-CoV-2 and other pathogens Key Themes in Publications Development of genomic epidemiology tools (e.g., GRAPEVNE pipeline) Analysis of mobility networks and hypergraphs for disease spread prediction Global influenza dynamics reshaped by pandemic interventions Conservation genetics of endangered species (e.g., Ecuadorian spider monkeys) Lab/Tech Affiliations Collaborates with the Pybus and Kraemer groups to advance pandemic genomics research, leveraging phylogenetic and computational methods to address real-time public health challenges.

Ashley Larsenمشاهده پروفایل

دانشیار

• Agricultural Ecology
• Land Use Planning
• Landscape Ecology
• +۵ مورد دیگر

Ashley Larsen is an Associate Professor at the Bren School of Environmental Science & Management and the Department of Geography at the University of California, Santa Barbara. Her research focuses on the ecology of managed systems, integrating causal inference and geospatial tools to balance food production with ecological health. She holds a PhD in Ecology, Evolution & Marine Biology (UCSB), an MA in Economics (UCSB), and a BS in Ecology & Evolutionary Biology (University of Michigan). Key research areas include agricultural pest dynamics, pesticide impacts, biodiversity conservation under land-use changes, and landscape-scale ecosystem services. She leads a research group advising PhD students on topics like ecosystem services quantification, climate adaptation, and aquaculture-agriculture integration. Her work has advanced methodologies for monitoring wildlife (e.g., bat populations) and modeling pest control strategies in agroecosystems. Education: PhD, Ecology, Evolution & Marine Biology, UC Santa Barbara MA, Economics, UC Santa Barbara BS, Ecology & Evolutionary Biology, University of Michigan Labs/Teams: Leads the Agricultural Land-Use & Ecosystems Lab with postdoctoral researchers like Evan Patrick and PhD candidates Anna Boser, James Cunningham, Nakoa Farrant, and Brian Lee. Her teaching includes courses on conservation planning (ESM 270) and food systems research (ESM 595AL). Research outputs emphasize policy-relevant solutions for sustainable land management, such as optimizing water use during droughts and reducing pesticide toxicity through spatial planning.