جست‌وجوی استاد و پژوهشگر

Marta Łabudaمشاهده پروفایل

دانشیار

• Charge Transfer Dynamics
• Molecular Fragmentation
• Quantum-Classical Simulations
• +۳ مورد دیگر

Dr hab. inż. Marta Łabuda is an Associate Professor at the Institute of Physics and Applied Computer Science, Faculty of Applied Physics and Mathematics, Gdańsk University of Technology. Her research spans both theoretical physics and sports psychophysiology, reflecting a unique interdisciplinary focus. Doctoral degree from University Claude Bernard Lyon 1 (2006) Habilitation (dr hab. inż.) from Gdańsk University of Technology (2019) International research experience in France and Germany Key research areas include: Quantum-classical collision dynamics and electron transfer Molecular fragmentation mechanisms in ionizing events Psychophysiological responses in sports mental training Application of EEG and skin conductance level (SCL) analysis Her publication record includes high-impact work on charge transfer phenomena, furan dissociation pathways, and sport imagery techniques. She specializes in combining theoretical calculations with experimental validation. Scientific awards highlight her international recognition: Marie Curie Intra-European Fellowship (2008-2010) Marie Curie Reintegration Grant (2011-2013) Rhône Alpes Mobility Grant (2003-2006) As an active researcher, she contributes to multinational projects including COST actions in radiation damage and ultrafast chemistry. Her academic profile demonstrates equal expertise in computational physics and applied sports neuroscience.

Anubhav Chaturvediمشاهده پروفایل

استادیار

• Quantum Communication
• Bell Inequality
• Nonlocality
• +۵ مورد دیگر

Anubhav Chaturvedi is an Assistant Professor at the Institute of Physics and Applied Computer Science , Faculty of Applied Physics and Mathematics, Gdańsk University of Technology. His research focuses on quantum information theory, nonlocality, and communication complexity. Research Interests: Quantum communication protocols, loophole-free Bell nonlocality, detector efficiency optimization, and quantum network engineering. Projects: Lead researcher for the CGRID project on certifying randomness under the SONATINA funding program (Agreement UMO-2022/44/C/ST2/00081). Publications: Recent work (2024-2025) explores maximal loophole-free nonlocality, quantum communication complexity, and scalable quantum correlations. Contact: anubhav.chaturvedi@pg.edu.pl

José Alemán Bañónمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Bilingualism
• Psycho- and Neurolinguistics
• +۲ مورد دیگر

José Alemán Bañón is an Associate Professor at the Department of Swedish Language and Multilingualism , Stockholm University. His research lies at the intersection of linguistic theory and cognitive neuroscience , focusing on second language acquisition , bilingualism , and morphosyntactic processing . He specializes in neurolinguistic methodologies like EEG and ERP, applying them to study how native and L2 speakers process grammatical structures. His work investigates morphosyntactic dependencies in Spanish, particularly number and gender agreement , and how factors like structural distance , markedness , and crosslinguistic differences affect processing. Recent projects examine predictive processing in L2 learners, supported by a 2018 grant from Riksbankens Jubileumsfond (3,412,000 SEK). He has published extensively on topics including L1 transfer , individual cognitive differences , and electrophysiological markers of language processing. Scientific awards: No scientific awards explicitly mentioned in the text. Grants: 2018 - Riksbankens Jubileumsfond grant (3,412,000 SEK) for predictive processing research. His publications span experimental linguistics, cognitive neuroscience, and second language acquisition, with a focus on ERP studies of agreement processing and crosslinguistic influence.

• Material Deterioration
• Railway Systems
• Rolling Contact Fatigue
• +۲ مورد دیگر

Anders Ekberg is a Full Professor in the Dynamics department at Chalmers University of Technology, specializing in railway engineering, material deterioration, and failure mechanics. His research focuses on enhancing predictive models for railway tracks and train components to improve design and enable predictive maintenance strategies. Institution: Chalmers University of Technology Department: Dynamics Ekberg's work analyzes operational data to correlate progressive track and vehicle deterioration with unplanned failures. His research emphasizes the importance of preventive maintenance in complex railway systems, aiming to reduce economic and environmental costs through optimized asset management. The 15 most recent articles highlight his expertise in rolling contact fatigue, crack propagation, slab track design, and wheel-rail interaction. These studies employ finite element modeling, field measurements, and experimental validation to advance railway safety and efficiency. Ekberg's projects include EU-funded initiatives like In2Track3 and Innotrack, focusing on innovative track systems, derailment prevention, and condition monitoring. His academic contributions also extend to edited books and conference proceedings on railway mechanics.

Juanita Urban-Richمشاهده پروفایل

دانشیار

• Microplastics
• Marine Pollution
• Biological Oceanography
• +۳ مورد دیگر

Dr. Juanita Urban-Rich serves as Associate Professor in the School for the Environment at the University of Massachusetts Boston, where she investigates microplastic pollution dynamics in urban coastal ecosystems. Her research bridges biological oceanography, environmental toxicology, and stakeholder engagement to address plastic contamination in the Charles River, Boston Harbor, and beyond. Her academic credentials include: PhD in Biological Oceanography MS in Biology from Memorial University of Newfoundland, Canada B.S. in Marine Science from Southampton Campus of Long Island University Dr. Urban-Rich's work focuses on microplastic pathways in marine food webs, particularly examining ingestion by corals (Astrangia poculata), bay scallops, and gray seals. She pioneered research on microplastics as vectors for pharmaceutical contaminants like gemfibrozil and analyzes socio-ecological dimensions through stakeholder discourse with oyster fisheries. Her methodology spans field sampling of riverine flux, laboratory toxicology, and innovative hybrid science education programs for middle school students. Analysis of her 2017-2025 publications reveals escalating focus on urban pollution sources, geographic variation in coral-microfiber interactions, and pandemic-adapted engagement strategies. Recent work emphasizes the Charles River's role as a microplastic conduit to Boston Harbor, seasonal flux patterns, and science communication frameworks for pollution mitigation. Her research demonstrates consistent methodological rigor across marine toxicology, environmental monitoring, and educational intervention, with growing emphasis on translating scientific findings into stakeholder action through virtual workshops and curriculum development during the COVID-19 era.

• Transport
• optics
• fluctuations
• +۹ مورد دیگر

EUGENE MISHCHENKO is a Professor in the Department of Physics & Astronomy at the University of Utah , where he has held academic positions since 2004 (Assistant Professor), 2007 (Associate Professor), and 2010 (Professor). His research spans condensed matter physics , focusing on graphene , topological insulators , low-dimensional systems , and plasmon-mediated phenomena . He has contributed to understanding spin-polarized transport , electron-phonon interactions , and disorder effects in quantum materials. Education : BS in Physics (Chernivtsi National University, 1993), PhD in Theoretical Physics (Russian Academy of Sciences, 1996), JD (University of Utah, 2018). Research Trends : His work combines analytical quantum mechanics , many-body interactions , and nanoscale electrostatics . Key contributions include plasmon instability theories , resonant impurity coupling , and exciton lifetime dynamics in carbon nanostructures. His 2017-2025 studies revealed noise-induced quantum corrections , non-equilibrium thermodynamics , and sublattice-dependent transport anomalies . Scientific Awards : Early Career Teaching Award (University of Utah, 2008). Teaching Activities : He teaches advanced courses including Quantum Theory I (2023-2024) and Quantum Field Theory II (2024). His scientific grants include a DOE-funded project on Spin-Polarized Transport (2006-2021). No formal lab or team is mentioned in the provided texts.

• Environmental Hazards
• Emergency Management
• Wildfire Evacuation Analysis
• +۵ مورد دیگر

Thomas Cova is a Professor at the University of Utah's School of Environment, Society & Sustainability , with a 27-year academic career spanning from 1999 to present. His expertise bridges human geography , disaster management , and geospatial technologies , focusing on wildfire evacuation systems, earthquake response, and environmental hazard mitigation. His educational background includes a BS in Computer and Information Science from University of Oregon (1986) PhD in Geography from University of California Santa Barbara (1999) Research highlights include pioneering work in wildfire evacuation modeling using GPS data, equifinality reduction in agent-based simulations , and social vulnerability analysis in environmental hazards. He has developed novel methodologies for warning trigger systems and spatial resilience metrics , with applications in earthquake early warning, flood modeling, and post-disaster recovery assessment. Recent publications demonstrate cross-disciplinary impact, including studies on racial disparities in air quality monitoring (2024), disaster resilience spatial analysis (2024), and machine learning applications for evacuation decision modeling (2023). His work combines geospatial information systems human behavior simulation emergency management frameworks public policy analysis Scientific awards include the 2016 Excellence in Mentoring Award 2015 National Science Foundation Mentoring Program Advisor Teaching activities span advanced geographic programming, disaster geography, and PhD thesis supervision since 2023. Current grants focus on household wildfire resilience (2023-2026) spatial data analysis (2021-2025) multiple NSF-funded hazards research initiatives

Michael Spiveyمشاهده پروفایل

استاد

• Language processing
• eye movements
• embodied cognition
• +۶ مورد دیگر

Michael Spivey is a Professor in the Cognitive & Information Sciences department at the University of California, Merced. His work bridges cognitive science, linguistics, and neuroscience, focusing on how embodied processes shape cognition and language. Dr. Spivey's research interests span language processing, eye movements, embodied cognition, and dynamical systems. He investigates how cognitive processes unfold in real-time through methods like eye-tracking and mouse-tracking. His work challenges traditional computational models of cognition, advocating for dynamical systems approaches that emphasize continuous, non-linear processes. He has made significant contributions to understanding how language and vision interact, how moral decisions are shaped by sensorimotor processes, and how creativity relates to spatial foraging behaviors. His recent publications reveal a strong trend toward investigating cognition as a dynamic, embodied process. Rather than viewing the mind as a digital computer, Spivey's work emphasizes continuous trajectories in cognitive state space, showing how seemingly discrete cognitive phenomena emerge from underlying continuous processes. His research often employs innovative methodologies that capture the temporal dynamics of cognitive processes. Dr. Spivey is the author of "Who You Are: The Science of Connectedness" (2020, MIT Press), which explores how human cognition extends beyond the brain to incorporate the body and environment. His laboratory investigates the real-time dynamics of cognitive processes through eye-tracking, mouse-tracking, and other behavioral measures. Current research examines how social context influences perspective-taking, how creativity relates to spatial search behaviors, and how physiological fluctuations relate to cognitive timing.

Chantal Vogelsمشاهده پروفایل

استادیار

• Arbovirology
• Vector Competence
• Virus Evolution
• +۴ مورد دیگر

Chantal Vogels is an Assistant Professor at the Yale School of Public Health within the Department of Epidemiology of Microbial Diseases . Her research focuses on arbovirology , virus evolution , and genomic surveillance of pathogens. Assistant Professor, Yale School of Public Health PhD in Entomology, Wageningen University & Research ORCID: 0000-0003-0027-6480 Dr. Vogels employs interdisciplinary approaches combining medical entomology , virology , and genomics to study how arthropod-borne viruses interact with their vectors and environments. Current projects examine: Zika Virus transmission dynamics West Nile Virus climate sensitivity Dengue Virus genomic evolution Powassan Virus tick-borne spread SARS-CoV-2 molecular diagnostics Her recent publications include 15 articles from 2023-2025 spanning arbovirus ecology, genomic assay development, and climate change impacts. The Vogels Lab has received recognition through: COVID-19 Team Research Award (2022) Marina van Damme Fellowship (2019) Storm-van der Chijs Award (2017) Dr. Vogels contributes to public health practice through: SalivaDirect SARS-CoV-2 testing platform Yale SARS-CoV-2 Genomic Surveillance Initiative Multidisciplinary team leadership in arbovirus research

Victoria Mary Lawton Jolliffeمشاهده پروفایل

استاد

• Postgraduate Medical Education
• Dermatology
• Teledermatology
• +۲ مورد دیگر

Professor Victoria Jolliffe is a leading academic at Queen Mary University of London's Faculty of Medicine and Dentistry, holding the title of Professor of Postgraduate Medical Education. As an Honorary Consultant Dermatologist at Barts Health NHS Trust, she combines clinical expertise with educational innovation. Her work focuses on teledermatology applications and hair disorders research, while maintaining active roles in medical education leadership. Academic Affiliation: Blizard Institute Education: Cambridge Medical Sciences, St Mary's Hospital clinical training Research highlights include pioneering studies on video image diagnostics for pigmented lesions and serving as Educational Lead for the British Hair and Nail Group. Her teaching excellence was recognized through: Shortlisting for Drapers Award for Excellence in Teaching (2011) ALT-Epigeum Award for video teaching innovation Leadership in postgraduate clinical dermatology education Scientific contributions include: Advancing teledermatology reliability standards Developing educational frameworks through the Professional Standards Framework Creating blended learning models for clinical dermatology Professor Jolliffe's leadership extends to: Founding member of British Hair and Nail Group Faculty member of F1000 Chair roles in postgraduate diploma programs Contributions to the Royal College of Physicians' Physician as Educator programme

Maryam Modjazمشاهده پروفایل

استاد

• Supernovae
• Gamma-Ray Bursts (GRBs)
• Time-Domain Astronomy
• +۵ مورد دیگر

Maryam Modjaz is a Professor of Astronomy at the University of Virginia, where she leads the Modjaz Explosions & Transients Astronomy Lab (METAL). Her research focuses on supernovae, gamma-ray bursts (GRBs), and exotic transients, using panchromatic observations and modeling techniques to uncover stellar progenitors and explosion mechanisms. Previously, she held faculty positions at the Center for Cosmology and Particle Physics within NYU's Physics Department (2011-2022). Current Affiliation : Department of Astronomy, University of Virginia Prior Affiliation : Center for Cosmology and Particle Physics, NYU Physics Department Her work leverages facilities like Magellan, MMT, LBT, and Las Cumbres Observatory, emphasizing time-domain surveys and collaborations such as the Global SN Project. She integrates machine learning with radiative transfer modeling to analyze explosions and their host environments. The 15 most recent articles highlight her focus on supernovae classification, metallicity effects on GRBs, and exotic transients, with keywords spanning astrophysics, machine learning, and time-domain astronomy. Subfields include progenitor studies, host galaxy analysis, and computational modeling. Scientific Awards Humboldt Foundation Faculty Fellowship (2018-2020) Maryam actively mentors students, offering projects in data-intensive research and modeling. She teaches courses like Astro 1220 (Intro to Stars, Galaxies, Universe) and previously instructed classes at NYU, including graduate-level 'Stars and Stellar Explosions' and undergraduate 'Observational Astronomy'. Labs & Teams She founded the METAL group, which collaborates with the University of Virginia's 'Exploding Stars & Time Domain Astronomy' initiative and contributes to LSST-era transient research.

Mohsen Sayyahمشاهده پروفایل

پژوهشگر

• Sports Biomechanics
• Occupational Health
• Physical Activity Monitoring
• +۵ مورد دیگر

Dr. Mohsen Sayyah is a Researcher at Loughborough University's School of Sport, Exercise and Health Sciences, affiliated with the National Centre for Sport and Exercise Medicine. He holds a PhD in Sports Biomechanics (2018) from Loughborough University, following an MSc in Sports Engineering (2012, Sheffield Hallam University) and a BEng in Mechanical Engineering (2009, Iran). His research focuses on occupational health for heavy goods vehicle (HGV) drivers, sleep patterns, cardiovascular health, and physical activity monitoring in transportation sectors. Key research interests include: Health interventions for truck drivers (e.g., the SHIFT trial) Cab vibration effects on physical activity metrics Cardiovascular reactivity and fatigue management Sleep variability and its occupational impacts Environmental influences on driver well-being His work bridges biomechanics and occupational medicine, with a focus on improving health outcomes for professional drivers through ergonomic design and behavioral interventions. Recent studies highlight correlations between cardiovascular reactivity and mental health symptoms, as well as the protective role of nature exposure in reducing fatigue. He is actively involved in cluster randomized controlled trials (e.g., the SHIFT trial) evaluating multicomponent health programs. His research also extends to sports biomechanics, particularly analyzing diving kinematics and performance optimization.

Patrick Stephensمشاهده پروفایل

دانشیار

• Macroecology of Infectious Diseases
• Biodiversity Conservation
• Evolutionary Ecology of Amphibians and Reptiles
• +۳ مورد دیگر

Patrick Stephens is an Associate Professor in Integrative Biology at Oklahoma State University. His research focuses on macroecological and phylogenetic approaches to understand large-scale infectious disease dynamics and biodiversity patterns. He leads NIH and NSF-funded projects investigating ebolavirus spillover, socioeconomic factors in pandemic risk, and squamate reptile biodiversity. Stephens teaches courses on disease ecology and introductory biology. Research Interests: Macroecology of infectious diseases, with emphasis on zoonotic spillover mechanisms Biodiversity conservation and evolutionary ecology of reptiles/amphibians Computational methods for large-scale ecological analysis Grants: NIH-funded project (2022-2026): Ebolavirus spillover in African mammals NSF-funded study (2024-2027): Oklahoma County pandemic drivers US-Israel Binational Science Foundation grant: Global tetrapod biodiversity analysis Teaching: Courses include Disease Ecology (BIOL 4333/5333), Introductory Biology, and graduate research supervision. Labs/Teams: Stephens Lab uses machine learning and big data to address ecological and epidemiological questions. Current projects include statistical modeling of outbreak risk and biodiversity dynamics.

• Quantum Computing
• Data Science
• Social Network Analysis
• +۴ مورد دیگر

George Km is a Professor of Computer Science at Oklahoma State University, affiliated with the Department of Computer Science since 1994. He holds a Ph.D. in Mathematics from Stony Brook University. His research focuses on quantum computing, big data analytics, social media analysis, and algorithm design. He has led numerous grants, including projects on quantum sensor data prediction, big data education, and Hadoop optimization. Notable contributions include work on quantum circuit algorithms, predictive analytics using Twitter data, and entropy-based veracity models. Teaching responsibilities include courses such as Formal Language Theory, Quantum Algorithms, and Numerical Methods. He has designed advanced special topics courses in quantum computing and big data. His work integrates theoretical concepts with practical applications in finance, healthcare, and social networks. Grants funded by the National Science Foundation (CISE) and industry partners demonstrate his impact in computational science and education. Publications span quantum automata, machine learning for financial modeling, and data reduction techniques. His research emphasizes interdisciplinary approaches, addressing challenges in algorithmic efficiency, data veracity, and computational infrastructure optimization. He advises on graduate courses and contributes to curriculum development in emerging technologies.

Lasse Suonperä Liebstمشاهده پروفایل

دانشیار

• Interpersonal violence
• Bystander behavior
• Quantitative methodologies
• +۳ مورد دیگر

Dr. Lasse Suonperä Liebst is an Associate Professor in the Department of Sociology at the University of Copenhagen. His research focuses on interpersonal violence, bystander behavior, and micro-sociological analyses using video observation methodologies. He is particularly known for his work leveraging CCTV footage to study public behavior during conflicts, police interactions, and pandemic-related compliance. Liebst’s work intersects criminology, sociology, and public health, with a focus on quantitative methodologies and real-world observational data. His research areas include analyzing ethnic profiling in policing through covert observation, evaluating behavioral interventions in drug markets, and studying how social distancing and mask-wearing behaviors were influenced during the COVID-19 pandemic. He has pioneered methods for ethological observation of human behavior in natural settings, emphasizing rigorous data collection and cross-national comparative studies. Liebst’s articles consistently highlight the importance of empirical, video-based evidence in understanding societal phenomena. Recent trends in his work emphasize applying computer vision technologies to behavioral research and advocating for interaction ethology as a core methodological framework in the social sciences. His studies often reveal counterintuitive findings, such as the low risk faced by bystanders intervening in public conflicts or the lack of risk compensation linked to mask-wearing during the pandemic. While no scientific awards are explicitly mentioned, his contributions to criminology and observational research methodologies have likely impacted policy discussions on public safety and policing practices. Liebst collaborates internationally, as evidenced by his co-authored works with researchers from the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) and other institutions.