جست‌وجوی استاد و پژوهشگر

• Semiotics
• Propaganda Studies
• Media History
• +۵ مورد دیگر

Caner ÇAKI is an Assistant Professor at Mucur Vocational School, Erciyes University, specializing in communication sciences with a focus on historical propaganda analysis. His academic journey includes a PhD from Erciyes University's Institute of Social Sciences in Communication Sciences (2020), an MSc from İnönü University's Institute of Social Sciences (2016), and a BA from Karadeniz Technical University's Faculty of Communication (2012). PhD: Erciyes University, Institute of Social Sciences, Communication Sciences (2016-2020) MSc: İnönü University, Institute of Social Sciences, Communication Sciences (2013-2016) BA: Karadeniz Technical University, Faculty of Communication, Public Relations and Advertising (2007-2012) ÇAKI's research primarily focuses on semiotics and propaganda studies, with particular expertise in analyzing historical political cartoons, wartime propaganda, and visual communication across different eras and political systems. His work spans multiple historical periods including World War I, World War II, the Cultural Revolution in China, and Cold War dynamics. His extensive publication record (over 150 publications) demonstrates a consistent focus on propaganda mechanisms across different historical contexts and political systems. His recent work (2023-2025) shows a continued emphasis on visual propaganda analysis, with particular attention to World War-era propaganda, Chinese Cultural Revolution materials, and historical political cartoon analysis across multiple national contexts including German, French, British, and Ottoman/Turkish media. Collaborating with researchers such as Mehmet Ozan Gülada, Mehmet Ali Gazi, Mustafa Karaca, and Abdülhakim Bahadır Darı, ÇAKI has established himself as a significant contributor to the field of historical propaganda analysis with a strong focus on visual communication methods. He teaches courses including Advertising Film, Effective Speaking and Communication, Public Relations Concepts and Theories, Popular Culture and Media, and Basic Information Technology Usage at the vocational school level, demonstrating his commitment to both theoretical research and practical education in media studies.

Ulrik Brandesمشاهده پروفایل

استاد

• Social Network Analysis
• Graph Theory
• Network Science
• +۳ مورد دیگر

Ulrik Brandes serves as Full Professor and Head of the Department of Humanities, Social and Political Sciences at ETH Zurich, holding the Professorship for Social Networks. He actively teaches courses including Network Analysis and Applied Network Science: Sports Networks for Fall semester 2025, with office location at WEP J 14, Weinbergstr. 109, Zurich. His research spans Social Network Analysis, Graph Theory, and Network Science, with significant applications in sociology, sports analytics (particularly soccer and Australian Football League), and archaeological networks. As a longstanding member of the International Network for Social Network Analysis (since 2001) and the Academy of Sociology (since 2017), he bridges theoretical graph algorithms with practical interdisciplinary applications, recently expanding into sports analytics through the Football Scouting Association (2023). Analysis of his recent publications reveals strong thematic continuity in network centrality, temporal dynamics, and robustness, with increasing application diversity across sports analytics, archaeological trade networks, and decentralized social media platforms. His work consistently emphasizes efficient computational methods for real-world network problems. Honors: Simmel Award (2024) Prof. Brandes maintains active research leadership through departmental oversight and course development, though specific grant details and student advisement records are not publicly documented in available sources. His departmental role indicates substantial administrative responsibilities alongside research and teaching commitments.

• Artificial Intelligence
• Biomedical Signal Processing
• Sleep Research
• +۴ مورد دیگر

Maarten De Vos is a Professor at the Department of Electrical Engineering (ESAT) , KU Leuven , with dual appointments in the Faculty of Medicine and Faculty of Engineering Science . He leads interdisciplinary research at the intersection of artificial intelligence and biomedical signal processing.

Ashley Mosemanمشاهده پروفایل

استادیار

• CNS immunity
• Olfactory barrier immunology
• Neuroimmunology
• +۵ مورد دیگر

Ashley Moseman serves as an Assistant Professor of Integrative Immunobiology and Assistant Professor of Cell Biology at Duke University School of Medicine. She holds significant affiliations as a Faculty Network Member of the Duke Institute for Brain Sciences and a Member of the Duke Cancer Institute. Her pioneering research examines the delicate balance between neuronal function and immune protection at the olfactory neuroepithelial barrier, where sensory neurons directly interface with the external environment while protecting the central nervous system from pathogens. Dr. Moseman completed her Ph.D. at Harvard University in 2011, establishing the foundation for her interdisciplinary career at the intersection of immunology and neuroscience. Her research program focuses on understanding how immunological surveillance operates at the unique olfactory barrier, where neurons must contact the external environment to perform chemosensory functions while preventing pathogens from entering the CNS. The Moseman Lab employs cutting-edge multiphoton intravital imaging to visualize immune responses in vivo, revealing dynamic cellular interactions during viral infections and responses to pathogens like Naegleria fowleri. Current projects investigate olfactory barrier mechanisms, neuroimmune crosstalk, host-pathogen dynamics, and immune responses to deadly neurotropic pathogens. Analysis of Dr. Moseman's publication record demonstrates a cohesive research trajectory centered on neuroimmunology and mucosal defense mechanisms. Her work spans fundamental immunological processes, host-pathogen interactions at neural interfaces, and translational applications for understanding neurological complications of infections. A significant portion of her recent research addresses SARS-CoV-2-related olfactory dysfunction and the immunological basis of pathogen invasion through the olfactory system into the central nervous system. Dr. Moseman has secured substantial research funding including 'Using tissue-specific Naegleria opportunism to dissect olfactory immunity' (2025-2030), 'Characterizing olfactory plasma cell dynamics and survival niche within the upper airway' (2024-2029), and the 'Advanced Immunobiology Training Program for Surgeons' (2019-2029). She actively contributes to graduate education through the Medical Scientist Training Program (2022-2027) and teaches advanced immunology courses including IMMUNOL 736 and IMMUNOL 494. The Moseman Lab represents a leading center for neuroimmunology research, utilizing in vivo imaging to visualize immune responses within the central nervous system. Their work has significant implications for understanding how pathogens breach neurological barriers and how the immune system protects the brain while preserving essential sensory functions, with potential applications for treating neurological infections and inflammatory conditions.

• Plant Ecology
• Plant Physiology
• Kin Recognition in Plants
• +۴ مورد دیگر

Susan Dudley is a Professor in the Department of Biology at McMaster University, where she has established herself as a leading researcher in plant ecology and physiology. Her work spans multiple areas including plant-plant interactions, kin recognition mechanisms in plants, and pollinator ecology, with significant contributions to understanding how plants interact with their environment and with each other. Ph.D. in Ecology and Evolution from University of Chicago (1991) M.Sc. in Biology from McGill University (1984) B.Sc. in Biology from McGill University (1981) Dr. Dudley's research primarily focuses on plant social behavior, particularly kin recognition and cooperation among plants. Her groundbreaking work has demonstrated that plants can recognize their relatives and modify their growth patterns accordingly, challenging traditional views of plant behavior. She also investigates pollinator ecology, with recent research on wild bees including the unusual case of snail shell-nesting bees. Her interdisciplinary approach combines field observations, controlled experiments, and molecular techniques to address fundamental questions in plant ecology. Her publication record shows consistent productivity with a focus on plant social interactions over the past 15 years. The research trends reveal an evolution from basic studies on kin recognition mechanisms to applications in conservation biology and sustainable agriculture. Her recent work connects plant social behavior with broader ecological concerns including invasive species management, pollinator conservation, and forest ecosystem dynamics. As an educator, Dr. Dudley teaches Ecological Statistics (BIOLOGY 707), Applied Statistics for Biology (BIOLOGY 3SA3), Field Methods in Ecology (BIOLOGY 3JJ3), and Plant Biodiversity and Biotechnology (BIOLOGY 2D03). Her teaching spans both undergraduate and graduate levels, emphasizing practical field and statistical skills essential for modern ecological research. Her research has received significant attention in both academic and public spheres, with multiple publications picked up by news outlets, referenced in Wikipedia pages, and shared across social media platforms. The collaborative nature of her work is evident from her co-author network, which includes researchers across various biological disciplines.

Tim Oatesمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +۷ مورد دیگر

Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County . His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics. Ph.D., Computer Science, University of Massachusetts, Amherst, 2000 M.S., Computer Science, University of Massachusetts, Amherst, 1997 B.S., Computer Science and Electrical Engineering, 1989 Current research threads include: Developing non-invasive brain injury severity assessment via medical time series Modeling human brain development through computational frameworks Designing algorithms for autonomous robotic learning Recent publications highlight AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization) Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising) Neuro-symbolic integration (holographic representations, language-guided reinforcement learning) Mathematical reasoning (schema-based problem solving, subitizing algorithms) Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building

Lee M. Millerمشاهده پروفایل

استاد

• Neuroengineering
• Computational Neuroscience
• Auditory and Speech Processing
• +۴ مورد دیگر

Lee M. Miller is a Professor and Vice Chair of Academic Affairs in the Department of Neurobiology, Physiology and Behavior at the University of California, Davis, affiliated with the Center for Mind and Brain. His research focuses on neuroengineering, computational neuroscience, and neural mechanisms underlying attention, speech processing, and multisensory integration. Research interests include the development of neural prosthetics, decoding of neuromuscular signals for prosthetic control, and understanding how auditory and visual systems interact during speech perception and attentional processes. His work bridges clinical applications (e.g., cochlear implants) with fundamental neuroscience, leveraging tools like electrophysiological recordings, EEG/MEG, and advanced signal processing techniques. Recent publications highlight innovations in electromyographic speech neuroprosthetics, the topology of neuromuscular signals, and the neural basis of speech-in-noise processing. Miller’s studies emphasize translational potential, such as improving speech synthesis from brain signals and designing haptic feedback systems for motor coordination. His contributions have advanced understanding of neural mechanisms in sensory integration, auditory attention, and the impact of cognitive factors on perception. Miller maintains a lab dedicated to these interdisciplinary efforts, with a focus on both basic science and clinical applications.

• Cardiology
• Nuclear Medicine
• Cardiovascular Imaging
• +۲ مورد دیگر

James Corbett serves as Professor of Radiology and Professor of Internal Medicine at the University of Michigan Medical School, with dual appointments reflecting his interdisciplinary expertise. He is an active Center Member of the Samuel and Jean Frankel Cardiovascular Center, contributing to one of the nation's leading cardiovascular research and clinical care institutions. Professor Corbett's research program centers on nuclear cardiology innovation, particularly PET-based myocardial blood flow quantification. His work bridges technical imaging optimization (e.g., Rb-82 dosing protocols, temporal sampling methods) with clinical applications in arrhythmia risk assessment, diastolic dysfunction, and pulmonary hypertension management. He has significantly influenced global standards through leadership in the IAEA Nuclear Cardiology Protocols Study (INCAPS) and SNMMI/ASNC clinical guidelines. His publication record from 2016-2019 reveals a strategic focus on advancing quantitative cardiac imaging while addressing real-world clinical challenges. The research demonstrates consistent methodology development paired with outcome studies, often through large multi-center collaborations that enhance generalizability of findings. As an active mentor (explicitly noted in his profile), Professor Corbett guides trainees through the University of Michigan's robust medical education system. His involvement in major international studies indicates substantial grant funding history, though current specific awards aren't detailed in the provided materials. The Samuel and Jean Frankel Cardiovascular Center affiliation provides Professor Corbett's team with state-of-the-art imaging facilities and access to diverse cardiovascular patient populations, enabling translational research from technical innovation to clinical implementation.

Edward C. Nortonمشاهده پروفایل

استاد

• Health Economics
• Econometrics
• Long-term Care
• +۳ مورد دیگر

Edward C. Norton is the UnitedHealthcare Professor of Health Care Management at the University of Michigan, holding appointments in both the Department of Health Management and Policy at the School of Public Health and the Department of Economics. He is a Research Associate of the National Bureau of Economic Research in the Health Economics Program and the Economics of Aging Program. Dr. Norton earned his Ph.D. in Economics from MIT in 1990 and his A.B. from Princeton University in 1986. Prior to joining Michigan, he taught at UNC Chapel Hill and Harvard Medical School. His academic journey includes serving as Director of the Robert Wood Johnson Foundation Scholars in Health Policy Research program. His research spans critical areas of health economics including: Advanced econometric methods for health services research Long-term care economics and aging populations Pay-for-performance systems in healthcare Obesity economics and body mass index impacts Dr. Norton's publication record shows a methodological sophistication with recent work focusing on reproductive health economics, surgical outcomes analysis, and dementia care economics. His research frequently employs instrumental variable approaches and advanced econometric techniques to analyze large healthcare datasets from Medicare and commercial insurance claims. Among his notable recognitions is the 2018 School of Public Health Excellence in Research Award from the University of Michigan. As an educator, Dr. Norton teaches HMP674: The Economics of Health Management and Policy II and HMP826: Applied Econometrics in Health Services Research, training the next generation of health services researchers in rigorous quantitative methods. He maintains active affiliations with the Institute for Healthcare Policy and Innovation and serves as Director of Quantitative Analytics in the Center for Healthcare Outcomes and Policy, bridging academic research with practical healthcare applications.

Amit Moreyمشاهده پروفایل

دانشیار

• Food Safety
• Poultry Science
• Meat Quality Analysis
• +۵ مورد دیگر

Amit Morey is an Associate Professor in the Department of Poultry Science at Auburn University's College of Agriculture. His research focuses on food safety, poultry meat quality, and advanced sensing technologies. He leads projects involving biosensor development, microbial pathogen detection, and spoilage prediction using machine learning and spectral imaging. His work bridges laboratory innovations with industry applications, addressing challenges in poultry processing, packaging, and supply chain management. Education details are not explicitly listed, but his extensive publications suggest advanced training in food science, microbiology, and engineering. Research interests include antimicrobial biopolymer films, texture analysis of catfish and chicken fillets, and the application of functional ice in seafood preservation. He has pioneered methods for rapid Salmonella detection using microfluidics and fiber optics-based SERS sensors. Notable contributions include developing predictive models for spoilage using near-infrared spectroscopy and exploring cyclic temperature abuse impacts on poultry safety. His interdisciplinary approach integrates artificial intelligence with traditional food science techniques to enhance food safety and reduce waste. While no specific grants or awards are listed, his active publication record (over 100 papers from 2005–2025) indicates sustained research funding. He collaborates on projects addressing global food safety inequities, such as sensor-enabled decision support systems (SENS-D) for vulnerable communities. Lab activities include the Auburn Poultry Science Lab, focusing on meat quality assessment, microbial interventions, and smart packaging solutions. His work has direct industry impact, with applications in poultry processing plants and retail cold chain management.

Howard S. Neufeldمشاهده پروفایل

استاد

• Plant Physiological Ecology
• Air Pollution Effects on Plants
• Water Relations of Plants
• +۳ مورد دیگر

Howard S. Neufeld is a Professor in the Department of Biology at Appalachian State University, with expertise in plant physiological ecology and air pollution impacts. His research focuses on ozone effects on native flora in the Great Smoky Mountains National Park, water relations in plants, and invasive species ecology. Education Ph.D. from University of Georgia (1984) Neufeld's research examines plant responses to environmental stressors, particularly tropospheric ozone and water stress. His work on cutleaf coneflower, tall milkweed, and Galax urceolata has revealed critical insights into foliar injury mechanisms, antioxidant defenses, and seasonal adaptation strategies. He investigates how invasive species like Microstegium vimineum exploit light gaps and how hydraulic conductance affects plant drought tolerance. His publication record shows consistent focus on ozone impacts in southern Appalachian ecosystems, with recent work emphasizing seasonal variation in plant responses, stomatal behavior, and biochemical defense mechanisms. Key trends include the development of non-destructive monitoring techniques and spatial analysis of pollution effects across landscapes. Advising & Grants Directed 20 Master's theses on plant ecophysiology, invasive species, and pollution impacts Currently mentoring 7 graduate students on lichen nitrogen responses, heavy metal effects, and ozone physiology Funded by National Park Service, U.S. EPA, National Geographic Society, and Friends of the Smokies Collaborates with researchers from Auburn University, USDA, Oak Ridge, and international institutions Neufeld maintains active field research in the Great Smoky Mountains National Park and operates laboratory facilities for gas exchange and plant stress analysis, with ongoing projects examining nitrogen deposition effects on lichens and nickel pollution impacts on pines.

Mark Kramerمشاهده پروفایل

استاد

• Neuroscience
• Computational Neuroscience
• Mathematical Modeling of Neural Activity
• +۵ مورد دیگر

Mark Kramer is a Professor in the Department of Mathematics & Statistics at Boston University. He belongs to the Applied Mathematics research group, focusing on mathematical, statistical, and machine learning approaches to characterize brain activity. His work bridges data-driven neuroscience with computational methods, exploring topics like biophysical models of neurons, field models of neural populations in epilepsy, and theoretical questions about brain rhythms. His research interests include: Biophysical modeling of single-neuron dynamics Neural population activity in pathological states Machine learning for detecting abnormal brain rhythms Analysis of cross-frequency coupling and coherence Kramer has developed educational resources like Case Studies in Neural Data Analysis using both MATLAB and Python. These materials teach practical data analysis techniques for spike trains and field data, emphasizing hands-on implementation over theoretical mathematics. He has received funding from NIH and NSF for computational neuroscience projects. His recent publications focus on epilepsy research, sleep spindle analysis, and neural signal processing. The work spans from developing statistical frameworks to understanding network dynamics in seizure termination and exploring phase consistency in neural data. Notably, his coherence studies revealed non-intuitive coupling patterns between brain regions, demonstrating that low-amplitude rhythms can be more informative than dominant ones.

Jeffrey Doserمشاهده پروفایل

استادیار

• Ecological Modeling
• Species Distribution Analysis
• Spatial Statistics
• +۳ مورد دیگر

Jeffrey Doser is an Assistant Professor in the Department of Forestry and Environmental Resources at North Carolina State University (NC State), within the College of Natural Resources. His research focuses on ecological modeling, species distribution analysis, spatial statistics, and biodiversity monitoring. He specializes in developing R software tools for ecological data analysis, such as the spAbundance and spOccupancy packages. His work emphasizes improving statistical methods for occupancy models, integrating acoustic and survey data, and addressing environmental challenges like invasive species and climate change impacts on ecosystems. Key research themes include species-environment interactions, spatially varying coefficients in ecological models, and functional reproducibility in scientific coding. His recent studies address topics such as American chestnut restoration, wild bee community dynamics, and early detection of invasive aquatic species. Doser collaborates on interdisciplinary projects involving forest inventory, avian soundscapes, and long-term ecological monitoring. His publications (2020–2025) highlight methodological advancements in species distribution modeling, occupancy frameworks for multi-season data, and applications of Bayesian approaches. He advocates for rigorous statistical practices and reproducible research in ecology.

• Soft Robotics
• Microfluidics
• Nanofabrication
• +۳ مورد دیگر

Ramses Martinez is an Assistant Professor in the Department of Industrial Engineering and Biomedical Engineering at Purdue University . He holds a B.A. in Applied Physics from Universidad Autonoma de Madrid (2004) and a Ph.D. in Physics and Materials Science from the Spanish National Research Council (CSIC) in 2009. Prior to joining Purdue, he conducted postdoctoral research in the lab of Prof. George M. Whitesides at Harvard University, focusing on nanofabrication, microfluidics, and soft robotics. Education B.A. in Applied Physics, Universidad Autonoma de Madrid (2004) Ph.D. in Physics and Materials Science, Spanish National Research Council (CSIC) (2009) His research bridges soft robotics , flexible electronics , and nanofabrication , with a focus on creating self-powered e-textiles , omniphobic paper-based devices , and programmable mechanical metamaterials . His work has led to over 25 publications and 9 patents, emphasizing practical applications in health monitoring and industrial automation . Notable projects include waterproof electronic decals for biofluid monitoring, smart bandages for chronic wound detection, and laser nanoforming methods for scalable metallic structures. His research has been recognized through the Fulbright Fellowship and the Marie Curie IOF Grant .

Thore Bergmanمشاهده پروفایل

استاد

• Social behavior
• Social cognition
• Vocal communication
• +۵ مورد دیگر

Thore Bergman is a Professor of Psychology and Ecology & Evolutionary Biology at the University of Michigan. He co-directs the University of Michigan Gelada Research Project in Ethiopia and the Capuchins at Taboga Project in Costa Rica. His research spans primate behavior, cognition, and communication, with fieldwork in Ethiopia, Botswana, and Mexico. Ph.D. in Evolutionary and Population Biology from Washington University Postdoctoral Fellow at University of Pennsylvania (2001-2005) His research focuses on: Social cognition and dominance hierarchies in primates Vocal communication and its evolutionary link to human language Sexual selection mechanisms in primate societies Hormone-behavior interactions through non-invasive sampling Ecological influences on social systems Recent publications emphasize methodologies like acoustic recordings, genetic sampling, and playback experiments across gelada monkeys, baboons, and howler monkeys. His work bridges cognitive evolution and behavioral ecology. Scientific recognition includes: APS Fellow Bergman advises graduate students and employs technologies ranging from hand-held computers to radio tracking. He investigates vocal repertoires, social assessment, and physiological consequences of behavior.