جست‌وجوی استاد و پژوهشگر

• English Language
• Language Teaching
• Linguistics
• +۵ مورد دیگر

Nafi YALÇIN is an Assistant Professor at the Department of English Translation and Interpreting , Üsküdar Üniversitesi , within the Faculty of Humanities and Social Sciences. He holds a PhD in English Linguistics from Hacettepe Üniversitesi (2002) and has served as Head of the Department of English Translation and Interpreting (2021-2024). His research focuses on language teaching methodologies, linguistic analysis, cultural studies, and translation studies. Education: BSc in English Language and Literature, Boğaziçi Üniversitesi (1986) MSc in English Linguistics, Boğaziçi Üniversitesi (1989) PhD in English Linguistics, Hacettepe Üniversitesi (2002) Research Interests: His work explores cultural aspects of language education, syntactic structures in Turkish, language reform history, and the application of films in language classrooms. He actively contributes to academic conferences and editorial roles, including the International Journal of Human Studies and a 2023 anthology on expanded scientific frameworks. Recent Projects: Leading a BAP-funded project investigating translation technologies' impact on student performance (2026) Contributing to international congresses on creation and science Teaching Activities: In 2023-2024, he taught courses including English for Academic Purposes , General Linguistics I , and Contrastive Analysis of Turkish-English to undergraduate students.

Janet C.E. Watsonمشاهده پروفایل

استاد

• Modern South Arabian languages
• Arabic dialects
• Phonology
• +۱۲ مورد دیگر

Professor Janet C.E. Watson is a leading scholar in Semitic linguistics at the University of Leeds, affiliated with the School of Languages, Cultures and Societies within the Faculty of Arts, Humanities and Cultures. She is the co-director of the Centre for Endangered Languages, Cultures and Ecosystems (CELCE) and leads major international projects on Modern South Arabian languages. Her work bridges linguistics, anthropology, and environmental studies. Her research focuses on the documentation and analysis of endangered languages in southern Arabia, particularly Mehri, Śḥerɛ̄t (Jibbali), Harsusi, and Bathari. She employs instrumental phonetics, acoustic analysis, and community-based methodologies to study phonology, morphology, and the relationship between language and nature. Her fieldwork spans Oman and Yemen, often in collaboration with local scholars and communities. The recent articles reflect a strong trend in laboratory phonology, language documentation, and computational approaches to under-resourced languages. Key themes include emphatic consonants, silent articulations, spatial language, and the integration of traditional ecological knowledge into linguistic analysis. Her work is increasingly interdisciplinary, connecting language with biodiversity, cultural heritage, and digital preservation. Fellow of the British Academy (2013) Leverhulme Trust Research Fellowships (2007–2008, 2010–2011, 2019–2021) British Academy Small Research Grant British Council International Research Fellowship (host, 2023) Professor Watson has supervised numerous PhD students working on Arabic dialects, Mehri, and language revitalization. Her grants include major funding from the Leverhulme Trust, British Academy, AHRC, and King Faisal Centre. She collaborates with institutions in the UK, Oman, Yemen, USA, and Europe. She founded the Language@Leeds Leadership Chair and co-founded CELCE with Prof. Jon Lovett. She leads multimodal documentation projects, including the creation of an Arabic-based script for unwritten languages, children’s e-books in Mehri, and digital archives at ELAR (SOAS). Her team includes local researchers, PhD students, and international collaborators, emphasizing community engagement and capacity building.

Filipe Rodriguesمشاهده پروفایل

دانشیار

• Machine Learning
• Intelligent Transportation Systems
• Transportation Science
• +۷ مورد دیگر

Filipe Rodrigues is an Associate Professor in the Department of Technology, Management and Economics at the Technical University of Denmark (DTU), where he conducts research in intelligent transportation systems and transportation science. His work integrates machine learning, artificial intelligence, and behavioral modeling to improve urban mobility and public transport systems. His research interests lie at the intersection of machine learning , transportation science , and behavioral modeling . He specializes in discrete choice modeling , reinforcement learning , graph neural networks , and smart card data analytics . His work contributes to sustainable urban mobility, leveraging big data and AI for proactive traffic control and public transport optimization. The recent publications highlight a strong trend toward integrating AI and behavioral science in transportation. Key themes include ride-sourcing driver behavior , public transport trip validation , autonomous fleet control , and causal machine learning . These works predominantly employ deep learning , Bayesian modeling , and offline reinforcement learning techniques, often applied to real-world datasets from Denmark and beyond. Scientific Contributions: Active contributor to journals like Transportation Research Part C and Journal of Choice Modelling . Supervises multiple PhD projects on AI in transportation and causal modeling. Regular presenter at major transportation and AI conferences. Advising and Grants: Filipe Rodrigues is the main or co-supervisor of several PhD students including O. B. Lassen, F. M. F. Santos, A. Nguyen, and X. Wu. He leads and participates in funded research projects such as 'Proactive traffic control through AI and Big Data' and 'Causal Graph Neural Networks for machine learning meta-modelling', indicating sustained grant support. His collaborative network spans institutions in Europe and beyond. Labs and Teams: He is part of the Intelligent Transportation Systems research group at DTU, collaborating closely with researchers like F. C. Pereira and C. M. L. Azevedo. The team focuses on data-driven mobility solutions, combining simulation, machine learning, and behavioral insights.

Christian Blouinمشاهده پروفایل

استاد

• Bioinformatics
• Algorithms
• Phylogenetics
• +۵ مورد دیگر

Christian Blouin is a Professor and Associate Dean, Academic in the Faculty of Computer Science at Dalhousie University. His interdisciplinary research bridges computer science and molecular biology, with a strong focus on bioinformatics and computational biophysics. Education: Ph.D. in Computer Science, Dalhousie University (2001) B.Sc. in Computer Science, Université Laval (1997) His research interests lie at the intersection of algorithms, phylogenetics, protein evolution, and molecular modeling. He develops computational methods to analyze protein structure evolution, multiple sequence alignments, and phylogenetic tree reconstruction. His work integrates high-performance computing and statistical mechanics to model biophysical properties of proteins, particularly in conformational dynamics and electrostatic interactions. The most recent publications reveal a consistent trend in developing algorithmic solutions for biological problems—especially in text mining for biological events, phylogenetic distance computation, and 3D mapping of evolutionary data. His work emphasizes automation, accuracy, and scalability in bioinformatics pipelines. Scientific Awards and Honors: TULA Fellow Dr. Blouin has secured significant research funding from NSERC, the TULA Foundation, and the CFI. His research group has contributed to tools like GenGIS for geospatial genomics and libcov for bioinformatics programming. He has advised students such as Haibin Liu and Vlado Keselj, who have co-authored key publications in text mining and phylogenetics. His lab integrates algorithm development with biological validation, aiming to bridge computational innovation with real-world biological insights.

Lauren Ancel Meyersمشاهده پروفایل

استاد

• Computational Biology
• Network Epidemiology
• Infectious Disease Modeling
• +۳ مورد دیگر

Lauren Ancel Meyers is the Cooley Centennial Professor of Integrative Biology, Statistics and Data Sciences, and Population Health at The University of Texas at Austin. She serves as Director of the Center for Pandemic Decision Science and founded the UT COVID-19 Modeling Consortium. An expert in infectious disease modeling, Dr. Meyers develops computational tools for pandemic forecasting and control strategies used by CDC, NIH, and global health agencies. Education includes: Ph.D. in Biological Sciences, Stanford University (2000) B.A. in Mathematics & Philosophy, Harvard University (1996) NSF Postdoctoral Fellow at Emory University and Santa Fe Institute (2000-2002) Her research focuses on network epidemiology, machine learning applications in public health, and optimization of disease surveillance systems. She leads interdisciplinary teams studying influenza, Ebola, Zika, and COVID-19 transmission dynamics, with work featured in over 100 peer-reviewed publications. Recent research demonstrates strong focus on pandemic modeling (COVID-19 forecasting dashboards), vaccination strategies, and healthcare resource optimization during outbreaks. Publications show emerging interest in zoonotic disease interfaces and antiviral treatment effectiveness. Awards and honors: MIT Technology Review TR100 Top Global Innovators Under 35 (2004) Samuel Karlin Prize for PhD Thesis (2000) Donald D. Harrington Faculty Fellowship (2010-2011) National Science Foundation Postdoctoral Fellowship (2000-2002) College of Natural Sciences Teaching Excellence Award (2005) Dr. Meyers directs NIH/CDC-funded initiatives developing decision-support tools for public health agencies, and has trained numerous graduate students who now hold positions in academia and industry. She leads laboratories focused on pandemic response innovation and computational epidemiology.

Jennifer Nelsonمشاهده پروفایل

مدرس ارشد

• Virtual Reality
• Human-Machine Interaction
• Human Movement Behavior
• +۳ مورد دیگر

Jennifer Nelson is a Senior Lecturer in the Department of Earth, Atmospheric, and Planetary Sciences at Purdue University, located in West Lafayette, Indiana. Her office is situated in HAMP 4284. She is affiliated with the College of Science and maintains active research in human-virtual interaction systems. Her research focuses on understanding how humans interact with virtual environments, particularly in crowded scenarios. Key themes include analyzing avoidance behaviors in response to virtual characters, studying the effects of rendering styles on human movement, and developing frameworks to model human-crowd interactions in immersive virtual reality settings. Recent work emphasizes the impact of virtual character dynamics (speed, density, direction) on human navigation patterns, as well as perceptual factors like gesture recognition and proximity effects. Her studies often involve creating experimental frameworks to quantify behavioral responses under varying virtual conditions. No scientific awards or grants are explicitly listed in the provided materials. While no advising information is available, her publications suggest involvement in collaborative research teams focused on virtual reality applications. She contributes to Purdue's initiatives in computational behavioral studies and immersive technology development.

Kate Smithمشاهده پروفایل

استادیار

• Quantum Computing
• Computer Architecture
• Quantum Compilation
• +۵ مورد دیگر

Kate Smith is an Assistant Professor of Computer Science at Northwestern University, affiliated with the McCormick School of Engineering. She holds a PhD in Electrical Engineering from Southern Methodist University (SMU), along with MS and BS degrees in Electrical Engineering and Mathematics from the same institution. Her research focuses on quantum computing, specifically in system architecture, optimized compilation, error mitigation, and security. Prior to joining Northwestern in 2024, she worked at Infleqtion managing the Superstaq compiler team and as a postdoctoral scholar at the University of Chicago under the CQE/IBM program. She has contributed to over 25 peer-reviewed publications and served on technical committees for major conferences like MICRO, ISCA, and DAC. Education: SMU (PhD 2019, MS 2015, BS in EE/Math 2014). Professional experience includes roles at EPFL (Switzerland), Texas Instruments, and the Darwin Deason Institute for Cyber Security. Her honors include the 2022 HPCA Best Paper Award, MIT EECS Rising Star (2021), and the IEEE TC-MVL Early Career Award (2021). Research interests span quantum compilation, distributed systems, qudit processing, and quantum security. She co-organized the 2023 CCC Workshop on Next Steps in Quantum Computing and chaired the 2022 ISMVL conference. Her work emphasizes bridging hardware-software gaps to enable scalable quantum systems. Grants and collaborations include the EPiQC group at the University of Chicago and projects funded by the Swiss NSF. Teaching experience includes courses on quantum computing fundamentals and digital design at SMU, University of Chicago, and adjunct roles.

Amy Dickmanمشاهده پروفایل

استاد

• Human-Wildlife Conflict
• Wildlife Conservation
• Large Carnivore Ecology
• +۳ مورد دیگر

Professor Amy Dickman is a leading academic in wildlife conservation and currently serves as Director of the Wildlife Conservation Research Unit (WildCRU) at the University of Oxford. She holds the academic rank of Professor and specializes in human-wildlife conflict resolution, particularly focusing on large carnivores like lions and leopards. Her work integrates ecological research with policy development, emphasizing practical solutions for coexistence between humans and wildlife. Professional affiliations include joint CEO of Lion Landscapes (promoting coexistence in Tanzania, Kenya, and Zambia) and Chair of the Arabian Leopard Fund's Board. She is also a member of multiple IUCN Specialist Groups, including the Cat Specialist Group and Human-Wildlife Conflict & Coexistence Group. Her research interests center on mitigating human-carnivore conflicts through innovative strategies like fortified livestock enclosures, market-based financial incentives, and community-led monitoring. Recent work highlights the importance of addressing socio-political factors alongside ecological challenges in conservation. Key contributions include pioneering the use of camera trapping for lion population monitoring, analyzing the socio-economic impacts of trophy hunting, and advocating for equitable conservation policies that balance global and local interests. Her interdisciplinary approach bridges ecology, policy, and community engagement to address complex conservation challenges in Africa.

Lisa O'Bryanمشاهده پروفایل

استاد پژوهشی

• Collective Behavior
• Collective Intelligence
• Behavioral Ecology
• +۳ مورد دیگر

Lisa O'Bryan is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Rice University. She holds a Ph.D. in Ecology, Evolution, and Behavior from the University of Minnesota (2015) and a B.S. in Zoology from Texas A&M University (2008). Her research focuses on understanding communication mechanisms underlying collective social behaviors in both human and non-human species, leveraging computational models and machine learning. She has pioneered the use of wearable dataloggers and audio-visual recording technologies to study animal groups and human teams. Dr. O’Bryan’s interdisciplinary work bridges engineering, biology, and social sciences. Her current research investigates vocal turn-taking in human teams and vocal coordination in animal groups. She has received prestigious fellowships, including the James S. McDonnell Postdoctoral Fellowship (2015) and the Rice Academy Postdoctoral Fellowship (2018). Her long-term goals include applying insights from collective behavior to improve human collaboration, aid wildlife conservation, and inform artificial intelligence design. Research Highlights: Developed novel methodologies for analyzing collective intelligence in human teams Discovered goats use copying rather than voting to coordinate movement Explored communication networks in baboons and chimpanzees Her work has been featured in Nature Magazine and she frequently collaborates across disciplines, integrating engineering tools with ecological and behavioral studies.

Kristin Dobbinمشاهده پروفایل

استادیار

• Environmental Justice
• Water Policy
• Natural Resource Management
• +۲ مورد دیگر

Kristin Dobbin is an Assistant Professor of Cooperative Extension in the Department of Environmental Science, Policy, and Management at UC Berkeley. She holds a PhD in Ecology from UC Davis (2021) and a B.A. in Environmental Analysis from Pitzer College (2013). Her research employs mixed-methods approaches to address water justice policy and planning in California, focusing on socio-political drivers of drinking water disparities. Research interests center on environmental justice, drinking water policy, natural resource management, and equity gaps in environmental policy implementation. Publications demonstrate strong focus on water system consolidation, groundwater sustainability, and environmental justice implications of water policies. Awards include the NSF Postdoctoral Fellowship (2021), Switzer Environmental Fellowship (2020), and Emerging Scholar Award from UC Center Sacramento (2020). Current work aims to advance understanding of drinking water disparities while providing policymakers with community-based solutions.

Shana Sturlaمشاهده پروفایل

استاد

• Toxicology
• Molecular Toxicology
• Environmental Toxicology
• +۶ مورد دیگر

Prof. Shana Sturla is a Full Professor at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich. Her research focuses on understanding human toxicity through the lens of chemical structure-reactivity relationships, with a particular emphasis on dietary chemicals and nucleic acid interactions. Her work bridges toxicology, biochemistry, and molecular biology, aiming to elucidate mechanisms linking chemical exposure to cancer initiation and treatment. Research interests include Mechanisms of mutagenesis via DNA-damaging agents Biomarkers for precision cancer therapy Safety assessment of nanomaterials Gut microbiota-mediated chemical toxicity Systems toxicology approaches for exposure modeling Recent studies highlight her lab's work on DNA repair pathways (e.g., MGMT protein function), microbiome-driven metabolism of dietary carcinogens, and PBK modeling to predict internal exposure. Her interdisciplinary approach combines synthetic chemistry, bioanalytical techniques, and computational modeling to address translational toxicology challenges. Key methodologies include Genome-wide DNA damage mapping In vitro-to-in vivo extrapolation High-content imaging for toxicity assessment Physiologically based kinetic modeling No scientific awards or grants are explicitly listed in the provided text, but her extensive publication record reflects significant contributions to toxicology and cancer biology.

Mark van der Giezenمشاهده پروفایل

استاد

• Microbial Interactions
• Gut Microbiota
• Pathogen Biology
• +۵ مورد دیگر

Mark van der Giezen is a Professor of Biological Chemistry at the University of South-Eastern Norway, affiliated with the Faculty of Science and Technology and the Department of Chemistry, Life Sciences and Environmental Technology. His research focuses on microbial interactions with hosts, particularly in gut environments, and their implications for human and animal health. Key areas include pathogen biology (e.g., Giardia, Entamoeba, Blastocystis), food security through livestock and fisheries pathogen studies (Aphanomyces, Fasciola hepatica), and collaborations with institutions like the National Lobster Hatchery and Cefas to study lobster microbiome health. He has published in high-impact journals such as Nature and Current Biology, with work on anaerobic adaptations and novel pathogens in crustaceans. Education details are not explicitly stated in the provided text. His research integrates biochemistry, genomics, and microbial ecology, addressing topics like anaerobic energy metabolism, host-microbe symbiosis, and the role of microbiomes in health and disease. Current projects include understanding microbial responses to low oxygen conditions and developing drug targets against gut pathogens. His work on crayfish plague (Aphanomyces astaci) and lobster pathogens has advanced diagnostic methods, while collaborations on microbiome influences on epigenetics and cardiovascular health highlight interdisciplinary approaches. He leads projects on the lobster gut microbiome and has discovered new pathogens affecting European lobster populations. Despite no explicitly listed awards, his contributions to microbial evolution and anaerobic biology are internationally recognized. Grant and advising details are not provided, but his lab’s focus on aquatic and terrestrial pathogen systems suggests active research funding. The lab collaborates globally, emphasizing applied microbiology for food security and environmental health.

Tim Kacprowskiمشاهده پروفایل

استاد

• Medical Informatics
• Data Science
• Network Medicine
• +۹ مورد دیگر

Summary Prof. Tim Kacprowski is a Professor and Head of Data Science in Biomedicine at the Peter L. Reichertz Institute for Medical Informatics (PLRI), jointly affiliated with TU Braunschweig and Hannover Medical School. His research focuses on integrating computational methods with biomedical challenges, particularly in network medicine, federated learning, and alternative splicing analysis. Key projects include the development of the NeDRex platform for drug repurposing and the FeatureCloud framework for privacy-preserving federated learning in healthcare. Research Interests His work spans multiple domains: Network Medicine: Leveraging molecular networks for disease module identification and drug discovery. Data Science: Advanced analytics for biomedical data, including ECG monitoring, microbiome studies, and flow cytometry. Federated Learning: Developing decentralized AI systems to protect patient data while enabling collaborative research. Alternative Splicing: Investigating splicing patterns in diseases like cancer and kidney disorders. Publications Trends Recent publications emphasize tools for drug repurposing (NeDRex-Web), ethical AI in clinical decision-making, and microbiome dynamics in chronic diseases. His work bridges computational methods with clinical applications, addressing challenges in precision medicine and healthcare technology. Labs & Collaborations As head of the Data Science group at PLRI, he leads interdisciplinary teams advancing biomedical informatics. Collaborations span institutions in Germany and internationally, focusing on translational research and AI-driven healthcare solutions.

• Pose Estimation
• Scene Understanding
• Unsupervised Learning
• +۴ مورد دیگر

Dr. Alex Jon Dillhoff is a Senior Lecturer in the Department of Computer Science and Engineering at The University of Texas at Arlington. He holds a PhD (2020) and BS (2014) in Computer Science from UTA. His research focuses on Pose Estimation, Scene Understanding, and Unsupervised Learning, with applications in medical imaging and embodied cognition assessment. He teaches advanced courses in Machine Learning, Computer Vision, and High Performance Computing. He has served on multiple department committees including K-12 Outreach, Publicity, and Broadening Participation in Computing initiatives. His presentations include talks on Body Pose Estimation at HackUTA (2023) and Deep Learning Models at UTA Datathon (2023). Education: PhD & BS in Computer Science (UT Arlington) Key Roles: Dissertation Committee Member for 5 graduate students Service: Committee Member for Outreach, Diversity, and Curriculum Committees His work combines theoretical computer science with practical applications in health technologies and education outreach.

Brian Fisherمشاهده پروفایل

پژوهشگر

• Biodiversity
• Entomology
• Conservation Biology
• +۳ مورد دیگر

Brian Fisher is a Curator of Entomology and Patterson Scholar at the California Academy of Sciences. His work focuses on ant biodiversity in Africa and Madagascar, integrating taxonomy, evolution, and conservation. Fisher leads initiatives like Insects and People of the Southwest Indian Ocean (IPSIO) , which promotes edible insect farming to address malnutrition and protect habitats. His research emphasizes leveraging ants as ecological indicators and developing tools for biodiversity monitoring. Education: Earned a biology degree from the University of Iowa, with early fieldwork in Panama and Costa Rica. Transitioned to entomology during studies at the Smithsonian Tropical Research Institute. Research Interests: Ant diversity and evolution, Madagascar’s ecosystems, and applying insect farming to solve food insecurity. Projects include the Breakfast Before Conservation initiative, which scales cricket farming to reduce lemur hunting and deforestation. Collaborations: Partnerships with Madagascar Biodiversity Center, Entomo Farms, and international scientists. Spearheads genomic and metabarcoding projects to track insect biodiversity across 50 Malagasy sites. Labs/Teams: Fisher Lab at the California Academy of Sciences and Madagascar-based research networks. Develops open-access resources like AntWeb and AntCat for global ant documentation.