جست‌وجوی استاد و پژوهشگر

• Electoral Politics
• Political Institutions
• Social Media and Politics
• +۲ مورد دیگر

Taishi Muraoka serves as an Assistant Research Fellow at Academia Sinica's Institute of Political Science in Taipei, Taiwan, a position he has held since 2022. His academic journey includes postdoctoral fellowships at Harvard University's Program on US-Japan Relations and Washington University's Weidenbaum Center, following his 2019 Ph.D. in Political Science from Washington University in St. Louis. His educational background encompasses a B.A. in Political Science from the University of North Carolina at Charlotte (2013) and a B.A. in Law from Chuo University, Japan (2011). His research expertise spans electoral politics, political institutions, and social media's role in political communication, with particular emphasis on cross-national comparative analysis. Muraoka's scholarly work reveals consistent focus on electoral system design and voter behavior, with recent publications examining polarization's emotional dimensions, multilingual party communication, and diaspora voting incentives. His methodological approach combines large-scale cross-national data analysis with quasi-experimental designs, frequently leveraging social media interactions as behavioral indicators. His scientific recognition includes the 2023 Richard E. Matland Best Paper Award from the Midwest Political Science Association and multiple travel grants from major associations like APSA and MPSA. His award portfolio reflects consistent early-career excellence in political methodology and comparative research. Current research initiatives include a 2025 Academia Sinica Grand Challenge grant on electoral system habit-formation and a Weidenbaum Center-funded project on radical-right party responses to extremism. His collaborative network spans institutions in Europe, Asia, and North America, with frequent co-authorship patterns indicating strong interdisciplinary partnerships.

• Earthquake Engineering
• Structural Dynamics
• Pipeline Seismic Response
• +۳ مورد دیگر

Prof. Muhittin Eren Uçkan is a Professor in the Department of Civil Engineering at Rafet Kayış Faculty of Engineering. His work focuses on earthquake engineering, structural dynamics, and seismic performance of infrastructure systems. Education: MS in Civil Engineering (1987) from Middle East Technical University, PhD in Earthquake Engineering (1994) from Boğaziçi University Key Research Areas: Seismic response of pipelines, soil-structure interaction, base isolation systems, and infrastructure resilience His recent publications analyze post-earthquake performance of transmission pipelines (2024 Kahramanmaras), liquid storage tanks (2023), and buried steel pipes (2016–2019). Studies emphasize fault crossing effects , sloshing damping , and seismic risk frameworks . Administrative roles include Vice Dean at Gebze Institute of High Technology (1998), Head of Department (1995–1998), and Commission Presidency at Alanya Aladdin Keykubat University (2020).

Gabriel Koch Ockerمشاهده پروفایل

استادیار

• Theoretical Neuroscience
• Computational Neuroscience
• Neuronal Network Modeling
• +۵ مورد دیگر

Gabriel Koch Ocker is an Assistant Professor in the Department of Mathematics & Statistics at Boston University, specializing in theoretical and computational neuroscience. His research investigates how neural activity encodes sensory information, shapes behavior, and evolves through learning mechanisms. Research Focus: Structure-function relationships in neuronal networks Methodology: Dynamical systems, stochastic processes, statistical physics Collaborations: Experimental validation of computational models Recent publications analyze integrate-and-fire networks, dendritic calcium spiking, inhibition-stabilized circuits, and metastability in stochastic neuronal systems. His group combines mathematical rigor with biological relevance to explore neural coding, plasticity, and functional hierarchy in cortical structures. Key contributions include tensor decomposition approaches to correlation analysis, reconciling recording technique discrepancies, and developing field-theoretic frameworks for compartmental modeling. Work spans from molecular-level channel dynamics (Kv7 channels) to brain-area-level functional organization.

• Cloud Computing
• Data Center Optimization
• Resource Allocation
• +۴ مورد دیگر

Bhuvan Urgaonkar is a Professor in the Department of Computer Science and Engineering at Penn State University's College of Engineering. His research centers on optimizing cloud computing systems through innovative approaches to resource allocation, cost efficiency, and energy management. Current research focuses on Burstable Instance Scaling Serverless Computing Optimization Distributed Storage Systems Multi-resource Fair Allocation Cloud Economics Recent publications highlight advancements in autoscaling techniques, serverless architecture design, and trace modeling for high-load scenarios. These works emphasize practical solutions for cost-effective resource utilization in public cloud environments. Scientific Awards: CNS: Core: Small: Consistent, Geo-Distributed Data Stores on the Public Cloud (NSF, 2022-2025) CNS Core: Small: Principled Methodologies for Automated Cost-Effective Service Blending (NSF, 2021-2024) PPoSS: Cross-Layer Design for HPC in the Cloud (NSF, 2020-2022) CSR: Burstable Instances for Cost-Efficacy (NSF, 2017-2020) CSR: Student Travel Support for SIGMETRICS (NSF, 2016-2017)

Jennifer G. Cromleyمشاهده پروفایل

استاد

• Educational Psychology
• STEM Education
• Learning Theories
• +۳ مورد دیگر

Jennifer G. Cromley is a Professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign. Her research focuses on comprehension of illustrated scientific text and the achievement and retention of undergraduate students in STEM majors. She employs both basic (eye tracking, think-aloud protocols) and applied research methods (randomized control trials, quasi-experiments) across educational settings from middle school to undergraduate programs. PhD in Human Development from University of Maryland, College Park Her work spans experimental and technology-delivered instruction, funded by the US Department of Education, National Science Foundation, and university grant programs. She has been recognized twice as one of the world's most productive Educational Psychologists. Research areas: STEM Education Learning Theories Instructional Design Student Motivation Educational Research Methodology Key Collaborations: ASEE (American Society for Engineering Education) University of Illinois Urbana-Champaign Scientific Awards & Funding National Science Foundation Grants US Department of Education Awards University Grant Programs World's Most Productive Educational Psychologist Recognition (x2) She mentors graduate students through an apprenticeship model, integrating them into active research projects for authorship opportunities in peer-reviewed publications.

Jonathan B. Claytonمشاهده پروفایل

استادیار

• Microbiology
• Microbial Ecology
• Host-Microbiome Interactions
• +۴ مورد دیگر

Dr. Jonathan B. Clayton is an Assistant Professor in the Department of Biology at the University of Nebraska Omaha and holds cross-appointments at the University of Nebraska-Lincoln (Department of Food Science and Technology) and the University of Nebraska Medical Center (Department of Pathology and Microbiology). He holds a D.V.M. and Ph.D. in Comparative and Molecular Biosciences from the University of Minnesota. His work focuses on host-microbiome interactions in humans and nonhuman primates, particularly exploring how dietary fiber, lifestyle, and environmental factors influence gut microbiome composition and metabolic health. He founded the Primate Microbiome Project (PMP) to map microbiome variation across all primates, linking it to health, evolution, and conservation. Research Interests include microbiome modulations of metabolic diseases (diabetes, obesity) and neurological disorders (stress), using in vitro/in vivo models like germ-free mice and marmosets. His methodologies involve next-generation sequencing, anaerobic culture, and marmoset models. Clayton is affiliated with the Callitrichid Research Center and GreenViet Biodiversity Conservation Center, emphasizing translational research and conservation applications. Teaching focuses on Microbiology and Microbial Ecology. His lab (Clayton Lab) investigates causal mechanisms of microbiome-related diseases and has published extensively on gut microbiome dynamics in captive and wild primates. Recent work highlights antibiotic impacts on gut-brain axis interactions and conservation implications of microbiome diversity.

Daniel M. Dowdenمشاهده پروفایل

استادیار

• Earthquake Engineering
• Self-Centering Systems
• Resilient Infrastructure
• +۳ مورد دیگر

Dr. Daniel M. Dowden is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University. He holds a PhD in Civil Engineering (Structural Engineering) from the University at Buffalo, along with MS and BS degrees in Civil Engineering from the University of Wyoming and Washington State University, respectively. Prior to academia, he worked as a structural engineer in Seattle for 10 years, which influenced his research focus on earthquake engineering and resilient infrastructure design. Education: PhD, Civil Engineering – Structural Engineering, University at Buffalo (2014) MS, Civil Engineering – Structural Engineering, University of Wyoming BS, Civil Engineering – Structural Engineering, Washington State University His research emphasizes innovative solutions for earthquake-resistant structures, particularly self-centering systems and low-damage frameworks to mitigate seismic impacts. He has conducted extensive experimental testing using shake-tables, pseudo-dynamic systems, and static methods. Key areas include steel plate shear walls, post-tensioned connections, and resilient friction dampers. Teaching focuses on earthquake engineering, structural dynamics, steel/concrete design, and structural analysis. He joined Michigan Tech in 2017 after serving as Structural & Testing Engineer at UB’s Structural Engineering and Earthquake Simulation Laboratory (SEESL), where he contributed to seismic qualification testing. Recent publications highlight advancements in numerical modeling of friction dampers, shake-table testing methodologies, and analytical investigations of rocking wall systems.

David A. Hoodمشاهده پروفایل

استاد

• Cell Physiology
• Mitochondrial Biology
• Skeletal Muscle Physiology
• +۹ مورد دیگر

David A. Hood is a Full Professor and former Canada Research Chair in Cell Physiology (2003–2024) at York University, affiliated with the School of Kinesiology and Health Science. He is the Founding Director of the Muscle Health Research Centre (MHRC) and supervises graduate students in the Biology Graduate Program. Research Interests: His research focuses on mitochondrial biogenesis, turnover, and function in skeletal muscle. He investigates how exercise, aging, and muscle disuse affect mitochondrial health, with a particular interest in mitophagy, lysosomal function, and cellular signaling. His work spans human, animal, and cellular models, integrating physiological, biochemical, and molecular biology approaches. Recent Publication Trends: Recent publications emphasize transcriptional regulation (e.g., TFEB, TFE3, ATF4, p53), organelle crosstalk (mitochondria-lysosome interactions), and the role of exercise as 'mitochondrial medicine.' His lab explores therapeutic interventions like mitochondrial transplantation and nutrient signaling in muscle health. Scientific Awards: Canada Research Chair in Cell Physiology (2003–2024) Finalist for a prestigious national award Advising and Grants: Dr. Hood actively mentors graduate students and postdoctoral fellows. He has secured significant funding, including a $1 million CIHR grant to study mitochondria and lysosomes in muscle. His lab fosters interdisciplinary collaboration and contributes to major reviews in the field. Labs and Teams: He leads the Hood Lab at York University and co-founded the Muscle Health Research Centre (MHRC), a multidisciplinary hub promoting research on muscle function, exercise, and aging. The MHRC facilitates collaboration across departments and institutions.

Katja Röslerمشاهده پروفایل

استاد

• Automotive Engineering
• Modeling and Simulation
• Driver Modeling
• +۱۲ مورد دیگر

Prof. Dr. Katja Rösler is a Professor of Automotive Engineering at the Institute of Mechanical Engineering, Ruhr West University of Applied Sciences since March 2012. Her career spans academic research and industrial development with key positions at TU Braunschweig, Volkswagen AG, and Fraunhofer Institute. Education: Industrial Mathematics degree completed under standard period Doctorate: Engineering (Driver Modeling) from TU Braunschweig, 2008 Her research focuses on automotive engineering with special emphasis on modeling/simulation, vehicle dynamics, driver assistance systems, accident research, alternative drives, and mobility concepts. She actively combines simulation with experimental verification and has significant involvement in Formula Student projects. Recent publications highlight her work in intelligent mobility systems (2018-2020), with particular attention to electromobility, accessibility solutions for elderly/disabled populations, and micromobility analysis. Earlier works established her expertise in driver modeling, vehicle measurement technology, and simulation-experiment correlation. Labs: Automotive Engineering Lab Teaching: Mechanics (Statics, Strength of Materials, Dynamics), Vehicle Dynamics, Driver Assistance Systems

Martin Arangurenمشاهده پروفایل

استاد پژوهشی

• Social Interaction
• Nonverbal Communication
• Emotions
• +۱۳ مورد دیگر

Martin Aranguren is a CNRS Junior Professor affiliated with the Centre for Research on Social Inequalities (CRIS) at Sciences Po. His research bridges micro-level social interactions and macro-level social inequalities, employing diverse methodologies including field experiments, interviews, and statistical analysis. He holds a PhD from École des Hautes Études en Sciences Sociales and earned his HDR in 2024, qualifying him to supervise doctoral research. His research interests include: Social Interaction Nonverbal Communication Emotions Discrimination (racial, religious, ethnic) Health Disparities and Mental Health Inequalities Field Experiments and Behavioral Measurement Bayesian Statistics His recent publications reveal a strong focus on discrimination in urban public spaces, particularly examining how race, religion (e.g., Islamic headscarves), and health behaviors (e.g., mask-wearing) influence everyday interactions. His work often uses field experiments in cities like Paris, Brussels, and Vienna to measure subtle forms of bias. A recurring theme is risk compensation during the pandemic, where adopting one safety measure (e.g., masks) leads to reduced adherence to others (e.g., distancing), with significant gender differences observed. His scientific contributions include leading major research projects such as: MIDI (2018–2021) : Studied misrecognitive discrimination using field experiments. GERICO (2021–2022) : Funded by ANR, investigated risk compensation during Covid-19. He also contributes to academic discourse through editorial roles and peer reviewing. He serves on the editorial board of Appartenances & Altérités and has reviewed for journals including Annals of Behavioral Medicine , Ethnic and Racial Studies , and PLoS ONE . He teaches quantitative methods, including Research Design and Regression Analysis, in the Sociology Master’s program at Sciences Po. His methodological rigor and interdisciplinary approach position him as a leading figure in contemporary sociological research on inequality.

Jason Heinمشاهده پروفایل

دانشیار

• Mechanistic Organic Chemistry
• Automated Reaction Analysis
• Self-Driving Laboratories
• +۷ مورد دیگر

Jason Hein is an Associate Professor in the Department of Chemistry at the University of British Columbia's Faculty of Science. His research focuses on the development of automated reaction analysis technology and self-driving laboratories that integrate robotics with synthetic organic chemistry. Dr. Hein leads the Hein Lab, which pioneers innovative solutions for mechanistic organic chemistry, catalytic reaction mechanisms, and chemical manufacturing processes. His research interests center on creating modular robotic tools and integrated analytical hardware for automated reaction profiling, with applications in pharmaceutical manufacturing, battery materials processing, and sustainable chemistry. The lab's work combines advanced robotics, artificial intelligence, and process analytical technology to develop self-optimizing chemical systems that accelerate discovery and improve manufacturing efficiency. Analysis of Hein's recent publications reveals a strong focus on AI-driven laboratory automation, with particular emphasis on crystallization optimization for battery materials, computer vision for process monitoring, and interoperable software systems for self-driving laboratories. His work bridges fundamental mechanistic understanding with practical industrial applications, particularly in lithium extraction from waste brines and pharmaceutical process development. NSERC Postdoctoral Fellowship Dr. Hein's research program includes significant grant funding supporting the development of self-driving laboratory technologies and their application to challenging chemical problems. His lab actively collaborates with industry partners in pharmaceuticals and clean energy sectors to translate fundamental insights into deployable technologies. Current projects focus on battery-grade lithium carbonate production, continuous manufacturing processes, and AI-optimized chemical synthesis. The Hein Lab operates as a multidisciplinary research environment combining expertise in organic chemistry, robotics engineering, computer science, and data analytics to create the next generation of autonomous chemical discovery systems.

Benjamin Rechtمشاهده پروفایل

استاد

• Machine Learning
• Optimization
• Statistics
• +۵ مورد دیگر

Benjamin Recht is a Professor in the Department of Electrical Engineering and Computer Sciences and Department of Statistics at the University of California, Berkeley. Previously, he was an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin-Madison. Recht received his BS in mathematics from the University of Chicago and his MS and PhD from the MIT Media Laboratory, followed by a postdoctoral fellowship at Caltech's Center for the Mathematics of Information. His research interests span Machine Learning, Optimization, Control Theory, and Statistics , with a focus on both theoretical foundations and practical applications. Recht's work addresses fundamental questions in reproducibility, generalization, and robustness of machine learning systems, while also developing novel methods for control, computer vision, and data analysis. Recht's recent publications reveal a strong focus on reproducibility in machine learning , with papers like "The Mechanics of Frictionless Reproducibility" (2024), alongside continued contributions to statistical learning theory ("Interpolating Classifiers Make Few Mistakes", 2023) and computer vision ("Plenoxels", 2022; "K-planes", 2023). His work increasingly addresses societal implications of AI , including papers on systemic harm detection and post-deployment evaluation. NSF Career Award Alfred P. Sloan Research Fellowship 2012 SIAM/MOS Lagrange Prize in Continuous Optimization Presidential Early Career Award for Scientists and Engineers 2014 Jamon Prize 2015 William O. Baker Award for Initiatives in Research 2017 and 2020 NeurIPS Test of Time Awards Recht has advised numerous PhD students who have gone on to faculty positions at top universities and research roles at leading technology companies. His work on optimization algorithms has been widely influential, including the development of methods like HOGWILD! for parallel stochastic gradient descent. He co-founded the Conference on Learning for Decision and Control and has served on editorial boards for the Journal of Machine Learning Research and Mathematical Programming. His research group spans both theoretical and applied work, with connections to healthcare (adaptive medication tapering), computer vision (radiance fields), and social impact (systemic harm detection in deployed systems).

• Causal Inference
• Qualitative Research Methods
• Mixed-Method Research
• +۴ مورد دیگر

Macartan Humphreys serves as director of the Institutions and Political Inequality group at the WZB Berlin Social Science Center and holds honorary professorships in social sciences at both Trinity College Dublin and Humboldt University Berlin. His research focuses on methodological innovations in social science, particularly in causal inference and mixed-methods approaches. Humphreys has developed frameworks that integrate causal modeling with Bayesian updating for both qualitative and quantitative research traditions. Humphreys' recent publications reveal expertise in creating systematic approaches that connect theoretical frameworks with empirical analysis. His work emphasizes transparency in research design and the integration of information from diverse data sources. Key Contributions: Development of causal modeling frameworks for qualitative and mixed-methods research Advancement of Bayesian approaches to case-level causal inference Creation of tools for research design, diagnosis, and optimization Integration of process tracing with broader causal inference frameworks Leadership Positions: Director, Institutions and Political Inequality group, WZB Berlin Social Science Center

James Abbasمشاهده پروفایل

استاد

• Neural Engineering
• Medical Rehabilitation
• Neurotechnology
• +۳ مورد دیگر

James Abbas serves as Professor of Biomedical Engineering at the University of Arkansas College of Engineering, where he develops neural engineering solutions for medical rehabilitation and exercise. His work integrates neurotechnology design, computational modeling, and human subject experimentation to advance rehabilitation systems. His academic background includes: B.S. in Bioelectrical Engineering from Brown University M.S. and Ph.D. in Biomedical Engineering from Case Western Reserve University Postdoctoral Fellowship at Shriners Hospital in Philadelphia, PA Dr. Abbas' research centers on neural engineering for rehabilitation , with expertise in neurotechnology development , computational modeling of neuromuscular systems , and experimental evaluation of rehabilitation technologies . His work bridges engineering innovation with clinical applications, particularly for Parkinson's disease and spinal cord injury rehabilitation. Key methodologies include intrafascicular electrode design, stimulation waveform optimization, and haptic feedback systems for prosthetic control. Analysis of his 2021-2025 publications reveals dominant trends in selective peripheral nerve stimulation , neural interface engineering , and personalized rehabilitation robotics . His work consistently addresses clinical translation challenges, with increasing focus on wearable military rehabilitation systems and AI-driven personalization of neurorehabilitation protocols. Professional recognition includes: Senior Member of the National Academy of Inventors Senior Member of IEEE Dr. Abbas maintains significant editorial leadership as Associate Editor for IEEE EMBS and Neural Engineering Conferences, while serving on the Editorial Boards of the Journal of Neuroengineering and Rehabilitation and Frontiers in Neuroengineering. He contributes to national initiatives as a Steering Committee member for the NIH SPARC Initiative's Data Resource Center. Though specific grant details aren't provided, his active research program and editorial roles indicate substantial funding and collaborative networks. No student advisees are listed in the source material. His research operates at the intersection of the Biomedical Engineering department and clinical rehabilitation partners, with emphasis on translating neural engineering innovations into practical rehabilitation solutions through interdisciplinary teams.

• Latin American Literature
• Comparative Literature
• French Literature
• +۳ مورد دیگر

Camilo Bogoya serves as an Associate Professor of Latin American Literature (14th section) at Artois University's School of Languages. He teaches Hispanic-American literature, Spanish contemporary literature, and cultural studies across undergraduate and graduate programs, including preparation for the French national CAPES teaching examination. As an active member of the Texts and Cultures Research Center, he organizes academic events and serves on national examination juries for Spanish language teaching credentials. His educational foundation includes a Doctorate in French Language and Literature from Sorbonne Nouvelle University (2011), an External Spanish Aggregation (2015), External CAPES in Spanish (2014), DEA in General and Comparative Literature (2004), and a Master's in Philology from Colombia's National University (2002). PhD: Sorbonne Nouvelle University (2011) DEA: Sorbonne Nouvelle University (2004) Master's: National University of Colombia (2002) Bogoya's research centers on three interconnected domains: the essayist-writer figure bridging novel and essay genres; literary transfers between Latin American and French traditions; and music's role as structural element and thematic concern in literature. His work examines how authors like García Márquez, Borges, and contemporary Colombian writers negotiate cultural identity through genre experimentation and cross-Atlantic dialogues, with particular focus on León de Greiff's poetic legacy and Quignard's musical aesthetics. His scholarly contributions reveal evolving engagement with Colombian literary identity, shifting from historical analysis of independence narratives toward contemporary explorations of globalization's impact on regional literature. His scientific recognition includes: National Literature Prize, University of Antioquia (2020) National Literature Prize, Central University of Bogotá (2008) As academic supervisor, Bogoya directs Master's research theses and oversees professional internships for Languages and International Business students. His editorial leadership spans journals including L'Autre Amérique , Ojo Vulgar , and Colombia's Literatura: teoría, historia, crítica , while his organizational work features doctoral seminars on literary diaries and writer interviews. The Texts and Cultures Research Center provides Bogoya's primary academic home, where he coordinates interdisciplinary projects examining Latin American-French literary connections through study days, edited volumes, and collaborative publications that bridge historical and contemporary perspectives.