جست‌وجوی استاد و پژوهشگر

Audrey Baneyxمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Knowledge Modeling
• Digital Methods
• +۷ مورد دیگر

Audrey Baneyx is a researcher at Sciences Po's médialab , specializing in digital methods, knowledge modeling, and pedagogical tool development. With a PhD in Artificial Intelligence from Paris 6 University, her work bridges computational approaches with social science research. Co-leader of the CNRS' Gender and Digital Spaces working group Principal contributor to tools like Hyphe, Khartis, and ANTA v2 Research Focus : Analyzing digital data heterogeneity through ontologies to map knowledge communities Exposing scientific production mechanisms in social sciences via platforms like Scholarscape Designing pedagogical frameworks for digital method training Publication Trends : Recent work emphasizes feminist perspectives in digital methods (2024), web archive utilization (ResPaDon 2022), climate adaptation controversy mapping (MEDEA 2015), and epistemic network analysis from 2016's multipositionality studies. Teaching & Community Building : Leads MetAt methodological workshops and develops practitioner communities around digital tools. Active in interdisciplinary research engineering since 2008.

Chad M. Schaferمشاهده پروفایل

دانشیار

• Statistical Methodology
• Cosmology
• Astronomy
• +۷ مورد دیگر

Chad M. Schafer is an Associate Professor in the Department of Statistics & Data Science at Carnegie Mellon University , specializing in statistical methodology for astronomy and cosmology. He co-chairs the LSST Informatics and Statistics Science Collaboration and is affiliated with the McWilliams Center for Cosmology at CMU. His research focuses on rigorous handling of complex models and high-dimensional data in the sciences, particularly astronomy. Ph.D. in Statistics, University of California, Berkeley (2004) M.S. in Statistics, University of Illinois at Urbana-Champaign B.S. in Statistics, Western Michigan University Former staff at Argonne National Laboratory (Mathematics and Computer Science Division) His research spans topics such as likelihood-free inference, Bayesian computation, photometric redshift estimation, and semi-supervised learning for supernova classification. He has applied statistical methods to cosmological surveys like SDSS and LSST, as well as climate modeling and hurricane track analysis. Recent publications highlight applications of statistical techniques to astrophysics, including Approximate Bayesian Computation for supernovae, SCA-based photometric redshift estimation , and high-dimensional density modeling . His work intersects astronomy, data science, and computational statistics. He has served in multiple educational roles, including: Teaching data science courses for CMU's Master of Science in Computational Finance (MSCF) program Steering Committee member for MSCF Instructor for the Summer School in Statistics for Astronomers at Penn State's Center for Astrostatistics Moderator of the methodology subsection of the arXiv Statistics area (2007-2018) Director of CMU's Summer Undergraduate Research Experience in Statistics program (2015-2018) His departmental affiliations and committee roles underscore his interdisciplinary approach, bridging statistical theory with practical applications in astronomy and finance.

Raif BAYIRمشاهده پروفایل

استاد

• Robotics
• Hybrid and Electric Vehicles
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.

• Economics
• Environmental Policy
• Ethics
• +۵ مورد دیگر

Jonathan Aldred is an Official Fellow and College Lecturer in Economics at Emmanuel College, Cambridge. He teaches Microeconomics, Mathematics, and History/Philosophy of Economics in the Economics Tripos, while also engaging with students through the Cambridge Society for Economic Pluralism. His research critically examines the ethical foundations of orthodox economic theories and their policy implications, particularly in environmental contexts. His most recent book, Licence to be Bad , explores how economic theories have influenced societal values over the past half-century. The work has garnered praise from notable figures such as Ha-Joon Chang and Lord Robert Skidelsky, highlighting its critical perspective on modern economic orthodoxy.

Megan Condisمشاهده پروفایل

دانشیار

• Gender Studies
• Race and Technology
• Queer Theory
• +۵ مورد دیگر

Megan Condis is an Associate Professor in the Department of Communication Studies at Texas Tech University, specializing in the intersection of technology, identity, and culture. Her research examines how technologies become racialized, gendered, and sexualized, with a focus on video game culture and artificial intelligence. Key work: Gaming Masculinity (2018) analyzes gender performance in gaming communities. Current project: Designing Women explores historical and cultural gendering of computing technologies and AI. Affiliated with STEM CORE , a TTU initiative supporting STEM education. Research Interests : Cultural analysis of video games and AI Gender and race in digital spaces History of computing and labor Media studies and fan cultures Ecofascism and environmental narratives in games Subversive advertising and gamification ethics Email : megan.condis@ttu.edu

• Forest Ecology
• Biodiversity Conservation
• Climate Change Adaptation
• +۳ مورد دیگر

Bengt-Gunnar Jonsson is a Professor in the Department of Biology at Mid Sweden University's School of Natural Science, Design and Sustainable Development. With over 25 years of research experience, he specializes in boreal forest ecology, deadwood dynamics, and biodiversity conservation. His work focuses on wood-inhabiting fungi , lichen communities , and forest fragmentation effects , particularly in northern Sweden's high conservation value forests . Jonsson has been pivotal in developing green infrastructure models and climate-adaptive forestry strategies . Key research themes: forest conservation, fungal ecology, climate change mitigation, deadwood management Research tools: presence-absence sampling, Bayesian modeling, long-term ecological monitoring Policy contributions: EU Biodiversity Strategy evaluations, IPBES initiatives His recent publications (2025-2020) demonstrate sustained expertise in forest carbon dynamics , saproxylic community analysis , and landscape-scale conservation . Jonsson frequently collaborates with international researchers on temperate and boreal forest biodiversity , with notable work on functional ecology and ecosystem service trade-offs . Current projects include 'Climate - collaborative learning initiative' and 'Functional green infrastructure in boreal forests' . Scientific contributions span multiple systematic reviews in environmental management, including Forest Ecology and Management and Environmental Research Letters . He has co-authored Cambridge University Press 's Biodiversity in Dead Wood and contributed to IPBES policy frameworks. Jonsson's research integrates empirical forest monitoring with theoretical ecological modeling , particularly in wood decomposition processes and fungal community dynamics .

• Human-Computer Interaction
• Climate Policy Informatics
• Sustainable Design
• +۳ مورد دیگر

Katie Berns is a Postdoctoral Researcher at Aalto University's Department of Design within the School of Arts, Design and Architecture. She contributes to the NODUS Research Group with primary focus on human-computer interaction and sustainable technology solutions. Current affiliation: Aalto University Academic position: Researcher Research group: NODUS Contact: katie.berns@aalto.fi Research Focus: Berns bridges technology innovation with environmental sustainability through three key areas: AI and data science applications for climate policy Design of configurable technologies for community initiatives Human-computer interaction in domestic sustainability contexts Her recent publications demonstrate collaboration across multidisciplinary teams investigating climate policy dashboards, utopian design frameworks, and activist food-sharing technologies. While no formal awards are documented, her work emphasizes societal impact and participatory design approaches.

Christian Wurzbacherمشاهده پروفایل

پژوهشگر

• Water Microbiology
• Aquatic Fungi
• Wastewater Surveillance
• +۵ مورد دیگر

Dr. Christian Wurzbacher serves as Head of the Working Group 'Microbial Systems' at the Chair of Urban Water Management at the Technical University of Munich since 2018. His research focuses on the intersection of microbiology and water management, particularly examining microbial communities in water and wastewater systems. He maintains active collaborations across Europe and contributes significantly to wastewater-based epidemiology research, especially in the context of SARS-CoV-2 monitoring. PhD in Biology from University of Potsdam Postdoctoral research at University of Gothenburg (Marie Skłodowska-Curie Fellowship) Research Associate at Leibniz Institute of Freshwater Ecology and Inland Fisheries Biology studies at University of Kassel Wurzbacher's research centers on microbial ecology in aquatic environments, with particular expertise in water fungi and their applications. His work examines prokaryote-eukaryote interactions in biofilms, the application of water fungi in bioremediation, and the development of high-throughput sequencing methods for microbial community analysis. His recent research has significantly contributed to wastewater-based epidemiology, particularly for public health surveillance during the COVID-19 pandemic. His publication record demonstrates strong focus on wastewater surveillance systems, aquatic fungal ecology, and biofilm research. The articles reveal a consistent trajectory toward developing reliable biomarker tracking methods, understanding microbial community dynamics in water systems, and applying this knowledge to public health monitoring and water treatment optimization. His work bridges fundamental microbial ecology with practical applications in water management. Marie Skłodowska-Curie PostDoc Fellowship Active member of International Society for Microbial Ecology (ISME) Member of Association for the Sciences of Limnology and Oceanography (ASLO) Member of German Society for Limnology (DGL) Dr. Wurzbacher actively mentors graduate students through his colloquium for master's and PhD students and teaches microbiology courses. His research group receives funding from various German and European research initiatives focused on water quality, microbial ecology, and public health surveillance. He collaborates extensively with institutions across Europe on projects related to wastewater monitoring and microbial community analysis. The Microbial Systems working group operates the Microbiological Laboratory at TUM's Chair of Urban Water Management. This laboratory focuses on advanced molecular techniques for microbial community analysis, particularly applying high-throughput sequencing to water and wastewater samples. The group maintains strong connections with other research teams at TUM and international collaborators, contributing to a network focused on water microbiology and its applications in environmental monitoring and public health.

Dimitrios Gounaridisمشاهده پروفایل

مدرس

• Geospatial Data Science
• Climate Change Impacts
• Environmental Justice
• +۳ مورد دیگر

Dimitrios Gounaridis is an Assistant Research Scientist and Lecturer at the University of Michigan's School for Environment and Sustainability (SEAS), specializing in Geospatial Data Sciences. His research integrates geospatial analysis, artificial intelligence, and environmental science to address climate change impacts, pollution disparities, and social vulnerability. He holds a Ph.D. in Geography from the University of the Aegean. Research Focus Gounaridis investigates critical sustainability challenges through geospatial data science. His work includes: analyzing correlations between animal feeding operations and air pollution; assessing flood risks in socially vulnerable communities; using AI to study climate change denial patterns on social media; and evaluating land-use changes in natural areas. His approach combines environmental science with computational methods to inform policy and equity solutions. Education 2018: Ph.D. in Geography, University of the Aegean 2012: M.Sc. in Applied Geo-Informatics, University of the Aegean 2009: B.A. in Forestry and Management of the Natural Environment, International Hellenic University Media Engagement Gounaridis' research has been featured in prominent outlets including The Detroit News, Michigan Radio, and Stacker, covering topics like urban tree inequity, carbon footprints, and farmland conservation.

Mark Lindquistمشاهده پروفایل

دانشیار

• Landscape Architecture
• Green Infrastructure
• Urban Planning
• +۷ مورد دیگر

Mark Lindquist is an Associate Professor of Landscape Architecture at the University of Michigan’s School for Environment and Sustainability (SEAS), currently on sabbatical for Fall 2024. His research focuses on high-performance landscapes, integrating computation, data, and virtual/augmented reality to enhance urban green infrastructure planning and stakeholder decision-making. PhD, University of Sheffield (Landscape) MA, University of Toronto (Landscape Architecture) BS, University of Manitoba (Environmental Design) Lindquist’s work emphasizes urban sustainability through empirical studies on sensory simulation (e.g., audio fidelity in VR greenspaces), gamification of community design (Land.Info software), and multisensory evaluation of urban environments. His projects span Detroit, New Orleans, and Alberta, focusing on climate resilience and equitable community engagement. Key trends in his research include leveraging crowdsourcing for urban planning, using 3D visualization tools to democratize design processes, and quantifying ecosystem service tradeoffs through digital platforms. Collaborations with data scientists and software developers highlight his interdisciplinary approach. EAGER award, National Science Foundation McIntire Stennis Cooperative Forestry Research Program, USDA MCubed Grant, University of Michigan MakeCalgary Seed Grant URGC Seed Grant In Detroit’s Mack Ave Chandler Park community, Lindquist co-developed Land.Info, a Unity3D-based tool enabling residents to design vacant spaces with real-time cost and environmental impact feedback. The software was later expanded with NSF funding to gamify climate-resilient landscape design in underserved regions, partnering with local planning departments and landscape architecture firms.

Martin Rypdalمشاهده پروفایل

استاد

• Climate Modeling
• Stochastic Processes
• Complex Systems
• +۶ مورد دیگر

Professor Martin Rypdal is a faculty member at the Faculty of Science and Technology , UiT The Arctic University of Norway, where he has served as Professor and Head of Department of Mathematics and Statistics since 2017. He holds a PhD in mathematics (2008) and a Cand. Scient. in mathematics (2004) from the University of Tromsø. Research Focus: Climate modeling, long-range dependent climate variability, stochastic processes, complex systems, multiscale analysis, and applications in public health (e.g., juvenile idiopathic arthritis, dengue dynamics). Leadership: Leads UiT's initiative on "The Dynamics of the Climate in the Arctic" and co-manages projects funded by the Norwegian Research Council. Outreach: Active science communicator with media appearances on climate and health research, including articles in Science Advances , Nature , and Ecology Letters . His recent publications (2025-2018) span climate science, public health, and statistical physics, emphasizing deep learning applications in paleoclimatology, Arctic sea ice loss, pandemic dynamics, and nonlinear climate responses. Scientific Awards: Recipient of the Faculty Teaching Price (2007, 2015). Supervises 3 PhD students and co-supervises 2, with 16 completed master's students.

Benjamin Pierceمشاهده پروفایل

استاد

• Programming Languages
• Type Systems
• Language-based Security
• +۴ مورد دیگر

Benjamin Pierce is the Henry Salvatori Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research spans programming languages, formal verification, and sustainable computing, with a focus on practical applications in software reliability and security. He leads initiatives like Carbon Connect (NSF Expedition in Sustainable Computing) and serves on climate-focused committees such as Penn's Faculty Senate Select Committee on the Climate Emergency. Research Interests Pierce's work integrates theoretical and applied computer science, emphasizing: Programming Languages : Type systems, language-based security, and compiler verification Formal Methods : Computer-assisted verification, proof automation, and property-based testing Sustainability : Reducing computing's environmental impact through algorithmic efficiency and policy Recent Publications His 2023-2025 publications demonstrate a strong focus on enhancing software testing (e.g., Tyche for property-based testing), advancing formal verification tools (e.g., Coq deautomation), and pioneering sustainable computing frameworks. Climate-related research is a growing theme. Awards and Honors 2024: Distinguished Paper Award (ICSE) 2020: Best Paper Award (POPL) 2015: Most Influential Paper Award (ACM SIGPLAN) 2013: LICS Test of Time Award 2012: ACM Fellow Advising and Grants He advises 8 PhD students on topics ranging from type systems to verified compilation. Notable projects include: NSF-funded Carbon Connect expedition SHF grant for usable property-based testing Development of verification tools (VERSE, Unison) Professional Activities Serves on editorial boards for Journal of Functional Programming and Logical Methods in Computer Science , and organizes major conferences (PLDI, POPL, OOPSLA). Advocates for low-carbon virtual conferences.

• Environmental Science
• Remote Sensing
• Climate Change
• +۳ مورد دیگر

Alparslan Akca is a Professor at the University of Göttingen , specializing in environmental monitoring and geospatial analysis. His research intersects ecology, urbanization, and biotechnology. Education: Not explicitly mentioned in the text. Research Focus: Forest area mapping with satellite remote sensing, urbanization monitoring in developing regions, and applications of geospatial technologies for ecological and urban systems. Students: Advised doctoral research including Hyun-Kook Cho (forest monitoring), Roman Radberger (Istanbul urbanization), and Thomas Beisch (urban green space informatics). Article Trends: Recent advised theses explore climate change impacts on agroforestry, neurodegenerative disease biomarkers, cardiovascular diagnostics, and sustainable material science. Topics span environmental resilience, medical diagnostics, and quantum physics applications. Awards: No scientific awards or prizes are explicitly documented in the provided texts.

• Integrated Pest Management (IPM)
• Digital Identification Tools
• Crop Protection
• +۳ مورد دیگر

Dr. Geoff Norton is a faculty member at the School of the Environment , University of Queensland. His work focuses on Integrated Pest Management (IPM) , Digital Identification Tools , and Agricultural Sustainability , with a particular emphasis on rice planthoppers, sweetpotato diagnostics, and weed science. He has developed interactive software platforms like Diagnosis and Sweetpotato DiagNotes to enhance crop protection training and decision-making. Research Trends : His publications span Digital tools for pest and species identification Collaborative approaches to rice pest management Scenario-based educational software Weed surveillance systems Labs & Teams : Norton has collaborated with institutions such as Imperial College London, Springer, and the International Society for Horticultural Science. He contributed to the Cooperative Research Centre for Tropical Pest Management and developed tools for tropical plant protection and biosecurity.

• Bayesian Statistics
• Parametric Inference
• Information Theory
• +۷ مورد دیگر

Professor Camila Caiado is affiliated with Durham University as a Professor in the Faculty of Science, Department of Mathematical Sciences . Her research spans Bayesian Statistics, Parametric Inference, Information Theory , and Stochastic Processes , with interdisciplinary applications in Health Informatics and Geophysics . Key Research Themes : Uncertainty Quantification, Computational Statistics, Decision Theory, and Applications of Bayesian Methods in Complex Systems Notable Collaborations : Atom Bank, Healthcare Institutions, Petroleum Engineering Projects Recent Publications focus on digital twin banking models , healthcare utilization during pandemics , and geochronological uncertainty analysis . She employs agent-based modeling and machine learning for pandemic planning and medical diagnostics. Academic Leadership : Active in Durham Research Methods Centre and Institute for Data Science. No formal awards or supervisees are explicitly mentioned in available data.