جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Vision Science
• Biophysics
• +۳ مورد دیگر

Saad Idrees is a Research Fellow in the Department of Physics at York University, Faculty of Science. His research focuses on the neural and biophysical mechanisms underlying visual perception, particularly saccadic suppression and retinal computation. He explores how visual pathways and neural adaptation influence perceptual dynamics, with applications in computational neuroscience and vision science. Key research interests include the interplay between retinal processing and higher-order visual functions, the role of contrast encoding in visual pathways, and the biophysical foundations of saccadic suppression. His work bridges neurobiology and physics, using experimental and computational methods to uncover fundamental principles of vision. Recent publications emphasize retinal contributions to saccadic suppression, neural adaptation mechanisms in artificial networks, and tools for analyzing neural data. His research has implications for understanding visual disorders and developing assistive technologies. No scientific awards are explicitly mentioned in the provided text. Advising and grant details are not available. Current affiliations include the Department of Physics at York University's Keele, Glendon, and Markham campuses.

Richard Jerousekمشاهده پروفایل

مدرس

• Planetary Rings
• Ring Dynamics
• Planetary Formation
• +۱ مورد دیگر

Richard Jerousek is an Associate Lecturer and Observatory Director at the University of Central Florida's Department of Physics. He earned his Ph.D. in Physics from UCF in 2018 and maintains office PSB 132. His research focuses on planetary ring dynamics, particularly analyzing Cassini mission data to study particle characteristics and unresolved ring structures at Saturn. Current investigations include ring seismology, occultation statistics, and particle size distributions. Publications consistently address Saturn's ring phenomena through advanced data analysis techniques. Recent works focus on UVIS occultation statistics, Monte Carlo simulations of ring structures, and resonance effects in Saturn's rings, with emerging interest in Uranus ring systems.

José Nuño-Ledesmaمشاهده پروفایل

استادیار

• Agricultural Economics
• Labor Economics
• Contract Theory
• +۶ مورد دیگر

José Nuño-Ledesma is an Assistant Professor in the Department of Food Agricultural and Resource Economics at the Ontario Agricultural College, part of the University of Guelph. His research focuses on pricing mechanisms, labor economics, and regulatory interventions within agricultural and broader economic contexts. He holds a Ph.D. in Agricultural Economics from Purdue University. His work bridges theoretical frameworks with applied issues in food systems, labor markets, and policy design. Education : Ph.D. in Agricultural Economics, Purdue University, IN, USA Research Interests : His primary areas include pricing strategies in food retail, labor market dynamics in Mexico, contract theory, and the impacts of regulatory policies like taxes and portion caps. He also explores development economics, food policy, and natural resource management. Current projects include analyzing labor market matching in Mexico and evaluating regulatory alternatives for sustainable practices in farmland rentals. Professional Links : Visit his website , LinkedIn , GitHub , Google Scholar , and ORCID for further details.

Li Shengمشاهده پروفایل

دانشیار

• Discrete Mathematics
• Graph Theory
• Bioinformatics
• +۴ مورد دیگر

Dr. Li Sheng is an Associate Professor in the Department of Mathematics at Drexel University. She holds a PhD in Operations Research from Rutgers University (1998), an MS in Statistics from Rutgers (1996), and prior degrees from Chinese academic institutions. Her research focuses on discrete mathematics, graph theory, and their applications in biology, social networks, and multicomputer systems. Education: PhD, Operations Research, Rutgers University, 1998 MS, Statistics, Rutgers University, 1996 MS, Operations Research, Chinese Academy of Sciences, 1991 BSc, Mathematics, National University of Defense Technology, 1988 Research Interests: Graph Theory (phylogeny graphs, probe interval graphs) Applications in bioinformatics (DNA mapping) Social network analysis (role assignment models) Network routing algorithms (deadlock-free protocols) Recent Work: Dr. Sheng has pioneered tagged probe interval graph models for DNA mapping and developed role assignment frameworks for social network analysis. Her recent contributions include deadlock-free routing algorithms for multicomputer systems and combinatorial applications of quadratic residues. She maintains an active publication record in top journals like Journal of Combinatorial Optimization and IEEE Transactions on Computers . Professional Activity: She has collaborated on over 25 peer-reviewed publications and technical reports, including work on phylogeny numbers, prefix-based routing schemes, and algorithmic sorting in tournaments. Her research bridges theoretical mathematics with practical applications in computing and biology.

• Circular Food Supply Chains
• Digitalization of Transport
• Logistic Services
• +۲ مورد دیگر

Dr. Ebru Surucu Balci is an Assistant Professor at the University of Bradford's School of Management within the Faculty of Management, Law & Social Sciences. She joined in September 2019 after earning her PhD in Maritime Business Administration and serving as a research assistant for five years. Her research bridges circular economy principles with supply chain innovation, focusing on food systems resilience and digital transformation in logistics. Her educational background includes a PhD in Maritime Business Administration, where she developed expertise in sustainable supply chain management and transport logistics. Research Focus: Dr. Balci investigates how digital technologies and circular economy models can transform supply chains, with emphasis on: Food supply chain resilience against geopolitical disruptions Blockchain applications in maritime logistics Social media's role in stakeholder engagement Multi-criteria decision frameworks for sustainability Publication Trends: Her recent articles demonstrate a consistent focus on sustainability challenges in global supply chains, particularly through: Development of resilience frameworks for food systems Exploration of digital solutions like blockchain in maritime logistics Analysis of waste reduction strategies in seasonal and perishable goods Methodological innovations in sustainability performance measurement Professional Recognition: While specific awards aren't detailed, her publication record in high-impact journals like Journal of Cleaner Production and Computers in Industry reflects significant scholarly impact.

Xiaojing Wangمشاهده پروفایل

دانشیار

• Bayesian modeling
• Latent variable models
• Item response models
• +۵ مورد دیگر

Xiaojing Wang is an Associate Professor in the Department of Statistics at the University of Connecticut's College of Liberal Arts and Sciences. She holds multiple affiliations including the Institute for Collaboration on Health, Intervention, and Policy (InCHIP), the Connecticut Institute for the Brain and Cognitive Sciences (IBACS), and the Center for Environmental Sciences and Engineering. Education: Ph.D. in Statistics and M.A. in Economics from Duke University (2012) M.S. in Probability and Mathematical Statistics from Chinese Academy of Sciences (2008) B.S. in Information and Computational Science from Hunan University (2005) Her research focuses on Bayesian methodologies with applications spanning neural decoding, environmental science, psychometrics, and computational biology. She develops novel statistical models for high-dimensional data including latent variable frameworks for neural spiking activity and dynamic item response theory for educational testing. Her work integrates machine learning with traditional statistical inference to address complex problems in interdisciplinary domains. Wang's publications demonstrate a consistent focus on Bayesian computation and model development, with significant contributions to Gaussian process methodologies, subgroup analysis in clinical applications, and ecological forecasting. Recent work shows increasing emphasis on neural data science and computationally intensive methods for high-dimensional inference. Awards and Honors: NSF Faculty Early Career Development (CAREER) Award (2019) Elected Member of International Statistical Institute (ISI) (2017) Jeffrey’s Excellence Prize for Best Methodological Poster (2013) As a statistical consultant, she advises through UConn's Statistical Consulting Services. Her methodological innovations support applications across health interventions, cognitive science, and environmental research through interdisciplinary collaborations.

Eduardo Castelló Ferrerمشاهده پروفایل

استادیار

• Robotics
• Blockchain Technology
• Swarm Robotics
• +۳ مورد دیگر

Eduardo Castelló Ferrer is an Assistant Professor of Robotics & AI at IE University (Spain), affiliated with the School of Science and Technology. He holds a PhD in Robotics Engineering from Osaka University (Japan) and was a Marie Curie Fellow at MIT Media Lab (USA). His research integrates robotics with blockchain technology to enhance security, autonomy, and cooperation in robotic systems. He leads the Cyber-Physical (CyPhy) Life research group and teaches courses on robotics, blockchain, and AI. Education: PhD in Robotics Engineering, Osaka University (2016) M.Eng. in Robotics Engineering, Osaka University (2011) BSc in Intelligent Systems, University of Portsmouth (2007) Research Interests: Dr. Castelló focuses on secure decentralized robotics systems, economic autonomy for robots, and blockchain applications in swarm robotics. His work addresses challenges like Byzantine fault tolerance, trustless collaboration, and autonomous decision-making. Notable projects include Gaka-chu (a self-employed robot artist) and iTrash (decentralized waste management). Awards: Marie Curie Fellowship (MIT Media Lab, 2016–2019) Teaching: Courses include Robotics and Automation, Blockchain & Fintech, and Technology Trends in Customer Experience. He emphasizes practical skills using tools like ROS and blockchain frameworks. Labs & Projects: Active projects include urban swarm systems, robotic economic autonomy, and secure multirobot cooperation. His work is published in top journals like Science Robotics and IEEE Transactions on Robotics .

Marine Frouinمشاهده پروفایل

استادیار

• Luminescence Dating Techniques
• Archaeological Chronology
• Human Evolution
• +۳ مورد دیگر

Marine Frouin is an Assistant Professor in the Department of Geosciences at Stony Brook University, where she leads the Luminescence Dating Research Laboratory. Her research focuses on developing and applying luminescence techniques to establish chronological frameworks for archaeological and geological materials. She holds a Ph.D. from the University of Bordeaux and completed postdoctoral research at the University of Oxford and Technical University of Denmark before joining Stony Brook in 2020. Her work emphasizes luminescence process understanding, extending dating methods to the Plio-Pleistocene, and investigating human evolution in Eurasia and Africa. Key projects include the chronology of Neanderthal burials (e.g., Shanidar Cave), Arabian Peninsula hominin expansions, and the Middle-Upper Paleolithic transition in Georgia. She is affiliated with the Turkana Basin Institute and maintains a research associate role at the University of Oxford. Frouin’s lab, established in 2022, employs state-of-the-art instrumentation to address unresolved questions in luminescence chronology. She actively mentors undergraduates, graduate students, and postdocs in interdisciplinary research. Notable contributions include refining K-feldspar dating protocols, resolving technical artifacts in IR-RF measurements, and integrating multi-method luminescence approaches for complex archaeological deposits. Her publications span luminescence technique validation, paleoenvironmental reconstruction, and chronological studies of key hominin sites. Current research trends emphasize technological innovations in dating methods, high-altitude archaeological chronologies, and genetic-environmental interactions in Neanderthal populations. Grants and collaborations include funding for lab equipment and international fieldwork. She is developing a new generation of dating protocols tailored to young sediments and arid environments, with applications to colonial-era and historical sites alongside prehistoric contexts.

• Labor Economics
• Microeconomics
• Econometrics
• +۳ مورد دیگر

Kyle Frederic Herkenhoff is an Associate Professor of Economics at the University of Minnesota and a Visiting Scholar at the Federal Reserve Bank of Minneapolis. His research focuses on labor economics, market power, credit markets, and public policy. His work explores monopsony in labor markets, credit constraints affecting entrepreneurship, and the role of informal bankruptcy mechanisms. He has published in top journals including American Economic Review , Econometrica , and Journal of Political Economy . Research Highlights : Labor Market Power, Credit Access, Economic Policy Key Topics : Monopsony, Default as Insurance, Merger Guidelines, Patent Publication Effects Herkenhoff has received the UCLA Welton Prize for macroeconomic research. His recent papers examine private equity impacts on workers, welfare costs of credit card oligopoly, and optimal unemployment insurance design under informality.

• Biomedical Image Analysis
• Digital Image and Video Processing
• Dynamically Reconfigurable Architectures
• +۵ مورد دیگر

Pattichis Marios is an Associate Professor in the Department of Electrical and Computer Engineering and Radiology at the University of New Mexico (UNM). He directs the Image and Video Processing and Communications Lab (ivPCL) and serves on the board of the FPGA Mission Assurance Center (FMAC). His research focuses on biomedical image analysis, dynamically reconfigurable architectures, and educational technology for underrepresented student groups. Education: Ph.D. in Computer Engineering (UT Austin, 1998), dual bachelor's degrees in Mathematics and Computer Sciences (UT Austin, 1991). He has taught 15 courses across multiple universities and secured $15.9M in research funding from NSF, AFRL, and NIH. Research areas include CAD systems for medical imaging, explainable AI, and large-scale video analytics in clinical and educational settings. Developed AM-FM representations for image/video features and contributed to solar image analysis methodologies. Awards: EAMBES Fellow (2022), Harrison Faculty Excellence Award (2006), Best Paper Award (AIAI06), Teacher of the Year (UNM ECE). Current projects include the AOLME educational initiative and the DRASTIC adaptive video processing platform. He edits special issues in IEEE journals and Teachers College Record.

Carlos Coمشاهده پروفایل

دانشیار

• Biomaterials Engineering
• Cell Biology
• Polymer Chemistry
• +۳ مورد دیگر

Carlos Co is an Associate Professor in the Department of Chemical and Materials Engineering at the University of Cincinnati, College of Engineering. He holds academic positions since 2000, including postdoctoral fellowships and research roles at institutions like Unilever Research and Wright-Patterson Air Force Base. His research focuses on biomaterials engineering, cell migration dynamics, and complex fluid systems. Co has received prestigious awards such as the NSF CAREER Award (2007) and multiple teaching excellence recognitions. Education: Ph.D. in Chemical Engineering from the University of Delaware (2000); B.S. in Chemical Engineering & Chemistry from the University of British Columbia (1995). Key research areas include directed cell assembly, microarray engineering, and polymer vesicle synthesis. His work bridges materials science and biomedical applications, emphasizing cell-biomaterial interactions. Research interests span biomaterials design, interfacial polymerization, and microfluidic systems. Recent articles highlight advancements in cell migration steering, microarray patterning, and polymer vesicle formation. Grants include major NSF awards for studies on complex fluids and biomaterials. Notable awards include the 2009 Champion Educator Medal and BP Amoco Faculty awards. His lab develops innovative methods for cell sorting, tissue engineering, and microfiltration membrane design. Students supervised include doctoral candidates Feng Gao and Dan Wu.

• Fluid Dynamics
• Nanocellulose Materials
• Biopolymer Assembly
• +۴ مورد دیگر

Fredrik Lundell is Professor of Fluid Mechanics at KTH Royal Institute of Technology, where he leads research in fluid physics, biopolymer assembly, and experimental mechanics. His work bridges fundamental fluid dynamics with applications in sustainable materials, utilizing techniques including synchrotron imaging, microfluidics, and optical coherence tomography. Research encompasses nanocellulose processing, protein nanofibril assembly, turbulence modulation, and multiphase flows. Recent work emphasizes flow-directed assembly of hierarchical biomaterials and energy-efficient fabrication methods. Experimental approaches combine advanced imaging with microfluidic platforms to study complex fluid-structure interactions. Publications demonstrate innovations in nanofiber alignment control, sustainable material design, and multiphase flow characterization. Recent articles focus on microfluidic assembly strategies, interfacial phenomena, and non-Newtonian fluid dynamics. Advises doctoral students investigating diverse topics from turbulent suspensions to biopolymer physics. Directs laboratory facilities for flow measurements and materials characterization, collaborating extensively through the Wallenberg Wood Science Center.

Patrick Lopez-Aguadoمشاهده پروفایل

دانشیار

• Race and Incarceration
• Juvenile Justice
• Youth and Street Cultures
• +۳ مورد دیگر

Patrick Lopez-Aguado is an Associate Professor of Sociology at Santa Clara University's College of Arts and Sciences. He holds a Ph.D. in Sociology from UC Santa Barbara and a B.A. from Loyola Marymount University. His research focuses on race and incarceration, juvenile justice, youth street cultures, and urban ethnography, with a notable book exploring how carceral systems impact high-incarceration neighborhoods. At SCU, he teaches courses such as Principles of Sociology, Criminal Justice System, and Sociology of Law. His work combines ethnographic methods with critical analyses of systemic inequality, particularly in urban contexts. Recent publications include critiques of gang enhancements in California sentencing and studies on gang identity formation in marginalized communities. Lopez-Aguado has been quoted in NPR and the East Bay Times, advocating for criminal justice reform, and contributed to policy evaluations like the Santa Barbara School District Gang Intervention Specialist Report. Outside academia, Lopez-Aguado enjoys traveling, horror films, and cultivating a cactus/succulent garden. He joined Santa Clara University in 2013 and resides in Mountain View, CA.

Lara Pudwellمشاهده پروفایل

استاد

• Enumerative Combinatorics
• Permutation Patterns
• Combinatorics
• +۳ مورد دیگر

Lara Pudwell is a Full Professor and the Dixon W. and Herta E. Benz Professor in the Department of Mathematics & Statistics at Valparaiso University. She specializes in enumerative combinatorics, permutation patterns, and undergraduate research mentoring. Her work often explores pattern avoidance in permutations, rook monoids, and combinatorial structures. Education: Ph.D. in Mathematics, Rutgers University (2008) B.S. and B.A., Valparaiso University (2003) Research Interests: Lara’s research focuses on permutation patterns, combinatorial enumeration, and the application of combinatorial methods to problems in algebra, geometry, and theoretical computer science. She is particularly known for her work on pattern-avoiding permutations and enumeration schemes, as well as her contributions to undergraduate research and mentoring. Professional Activities: Lara has been an invited speaker at conferences such as the Sonia Kovalevsky Day and has participated in organizing events like MathPath. She actively contributes to mathematical communities through talks, journal articles, and mentoring programs. Labs/Teams: She collaborates with interdisciplinary teams and mentors students in research projects, including those supported by NSF grants. Her work often involves experimental mathematics and computational tools for combinatorial analysis.

Lea Bou Sleimanمشاهده پروفایل

استادیار

• Urban Economics
• Environmental Economics
• Transportation Economics
• +۳ مورد دیگر

Lea Bou Sleiman is an Assistant Professor at the Lee Kuan Yew School of Public Policy (LKYSPP) at the National University of Singapore (NUS). Her research bridges urban economics with policy analysis, focusing on the interplay between technical city designs and their social consequences. Education: PhD in Economics, CREST-École Polytechnique (2023) Research Focus: Lea investigates how transportation infrastructure shapes urban development and socioeconomic dynamics, with emphasis on environmental and transportation policy impacts, residential sorting, and traffic-calming measures. Her work has been highlighted in major French media outlets such as Le Monde , Marianne , and La Tribune . Academic Affiliations: Prior to joining LKYSPP, Lea held postdoctoral and associate roles at the National Bureau of Economic Research (NBER) and Harvard University . Scientific Awards: RIEF Best Paper Award (2023) GIORGIO ROTA Best Paper Award (2023) Special Mention, AFSE Best PhD Award (2024) Teaching: She currently teaches PP5406 Methods and Tools for Policy Analysis at LKYSPP.