جستجوی استاد راهنمای دانشگاهی

• Cognitive Psychology
• Neuroscience
• Visual Perception
• +۳ مورد دیگر

Yelda Semizer Kaplan is an Assistant Professor at the New Jersey Institute of Technology within the College of Humanities and Social Sciences . Her research intersects cognitive psychology and visual neuroscience, focusing on fundamental mechanisms of human perception and attention. Specializes in temporal integration and ensemble perception Investigates peripheral vision limitations in complex tasks Develops computational models of maze-solving cognition Key research themes analyze how visual clutter affects search performance, how temporal dynamics influence attentional blink, and how spatial configurations impact cognitive processing. Her work has been featured in Journal of Vision and Attention, Perception & Psychophysics , with collaborations across neuroscience and human factors domains. Media engagement highlights include contributions to NJIT's Research Institutes Showcase (2021) and Cyberpsychology Seminar Series (2021). Current work explores mental maze-solving mechanisms through novel behavioral paradigms.

Yuhang Huمشاهده پروفایل

دانشیار

• Mechanics of Soft Materials
• Materials Chemistry
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Yuhang Hu is an Associate Professor at the Georgia Institute of Technology, affiliated with the George W. Woodruff School of Mechanical Engineering and the School of Chemical and Biomolecular Engineering. Her research focuses on soft active materials, particularly hybrid systems combining solid and liquid components. She explores chemo-mechanical modeling, mechanical characterization of soft materials, and the development of dynamic multi-functional materials for applications like energy conversion and biomedical devices. Education: Ph.D. in Engineering Sciences from Harvard University (2011), M.S. in Applied Physics (Harvard, 2009), and prior degrees from Nanyang Technological University and Shanghai Jiao Tong University. She previously held positions at the University of Illinois at Urbana-Champaign and Harvard. Research Interests: Soft materials mechanics, stimuli-responsive gels, bio-inspired materials, and material characterization challenges. Her work integrates experimental and theoretical approaches to bridge mechanics and materials chemistry. Outreach: Active in STEM education through initiatives like B.T. Washington Elementary STEM Academy and the Midwest Experimental Mechanics Student Conference. Her lab emphasizes interdisciplinary innovation at the Chemomechanics of Soft Materials Lab.

Kai Barronمشاهده پروفایل

پژوهشگر ارشد

• Behavioral Economics
• Experimental Economics
• Development Economics
• +۳ مورد دیگر

Kai Barron is a Research Fellow at the WZB Berlin Social Science Center, affiliated with the Berlin School of Economics. He holds a PhD in Economics from University College London (UCL), following an MRes and MSc in Economics from UCL and a B.Soc.Sc. (Hons) in Economics from the University of Cape Town. His research focuses on behavioral and experimental economics, exploring topics such as belief formation, narratives, and discrimination. He also examines economic disparities in the Global South, with studies on child development and the psychological foundations of discrimination. Research interests span cognitive foundations of economic decisions, narratives' influence on persuasion, and applications in understanding mental models and discrimination. His recent work includes studies on alcohol policy impacts in South Africa and experiments on children's social behaviors. Kai has been involved with the CRC Rationality & Competition and contributed to collaborative projects like the 'Your Contribution Squared' initiative for Ukraine aid. He has published in top journals such as the American Economic Review, Management Science, and the Review of Economics and Statistics. His research is highlighted by interdisciplinary collaborations, including work on violence reduction, medical adherence, and gender bias in hiring. Kai actively participates in academic networks and promotes evidence-based policy through platforms like VoxDev and Bluesky.

Silia Vitoratouمشاهده پروفایل

دانشیار

• Psychometrics
• Biostatistics
• Latent variable models
• +۶ مورد دیگر

Dr. Silia Vitoratou is an Associate Professor in Psychometrics and Measurement at King's College London's Department of Biostatistics & Health Informatics within the Institute of Psychiatry, Psychology & Neuroscience (IoPPN). She leads the Psychometrics & Measurement Lab and the S-Five research project on misophonia. Her research focuses on psychometric methodology, latent variable models, Bayesian statistics, and applications in mental health and neurology. She holds degrees from the University of Crete (BSc Mathematics), National and Kapodestrian University of Athens (MSc Biostatistics), and Athens University of Economics (PhD Bayesian model comparison). Her expertise spans misophonia mechanisms, autism assessment, and cross-cultural validation of psychological tools. She teaches advanced statistical modeling courses and supervises over five MSc/BSc projects annually. She is a member of the Psychometric Society and co-founded the #tutorpool education initiative. Current projects include autism phenotype measurement bias and NIHR fellowships in neurology and psychology. Recent research highlights include UK misophonia prevalence studies, ALS caregiver distress models, and validation of mental health questionnaires across cultures. Her work addresses measurement invariance in autism screening and develops psychometric tools for sound sensitivity disorders.

Urs Hengartnerمشاهده پروفایل

دانشیار

• Information Privacy
• Computer Security
• Network Security
• +۳ مورد دیگر

Urs Hengartner is an Associate Professor at the Department of Computer Science, University of Waterloo. His research focuses on information privacy, computer and network security with emphasis on smartphones, IoT, and machine learning-based authentication systems. He holds a Ph.D. (2005) and M.Sc. (2003) from Carnegie Mellon University, and a Diploma from ETH Zürich (1997). His work spans Adaptive security attacks on ML systems Implicit user authentication frameworks Privacy-preserving technologies for location and genomic data Secure authentication systems resilient to voice/spoofing attacks Recent publication trends show a strong focus on adversarial attack detection (e.g., watermarking evasion, diffusion model attacks) and context-aware authentication systems . His frameworks like MRAAC and SHRIMPS address multi-stage authentication challenges in mobile ecosystems. Key contributions include frameworks for evaluating multi-user authentication systems (SHRIMPS), risk-aware access control (MRAAC), and novel defense strategies against collaborative robot traffic fingerprinting. His work bridges security mechanisms with user-centric design principles.

Martin Ostoja-Starzewskiمشاهده پروفایل

استاد

• Continuum Mechanics
• Stochastic Mechanics
• Fractal Media
• +۷ مورد دیگر

Martin Ostoja-Starzewski , Ph.D. (McGill), is a Professor of Mechanical Science & Engineering at the University of Illinois at Urbana-Champaign , with affiliate appointments at the Beckman Institute and National Center for Supercomputing Applications . His research spans continuum mechanics , stochastic wave propagation , and fractal media , focusing on scaling laws and the statistical-to-representative volume element transition. 2006–Present: Professor, UIUC 2001–2005: Canada Research Chair, McGill University 2023: Rothschild Distinguished Visiting Fellow, University of Cambridge 2022: Member, European Academy of Sciences and Arts 2024: Academia Europaea Foreign Member His work pioneered continuum mechanics with spontaneous second law violations and tensor random fields for stochastic PDEs. He authored four foundational books, including Tensor-Valued Random Fields for Continuum Physics (2019), and edited 16 special issues. Recent 2025–2023 articles explore odd elasticity , fractal thermodynamics , and stochastic wavefronts , bridging non-equilibrium thermodynamics to granular Couette systems . Scientific accolades include the Worcester Reed Warner Medal (2018) and ASME , AAM , SES fellowships. As part-time faculty at Beckman Institute (2008–Present), he integrates bioimaging with mechanics across electrosurgery and traumatic brain injury modeling.

Siul Ruizمشاهده پروفایل

مدرس

• Soil Biomechanics
• Environmental Engineering
• Biomechanics
• +۴ مورد دیگر

Dr. Siul Ruiz is a Lecturer at the University of Southampton, affiliated with the Bioengineering Group. His research focuses on physical processes in soils and biological systems, including solid/fluid mechanics, mass/energy transport, and imaging techniques like X-ray computed tomography (XCT) and neutron radiography. He develops mathematical models to study soil biomechanics, biofilm dynamics in plants, and the impact of fertilisers on crop nutrition. Current projects include quantifying soil biomechanics via X-ray diffraction and modeling olive tree resistance to Xylella fastidiosa. Funded by the Royal Society and BBSRC, his work bridges applied mathematics, mechanical engineering, and environmental science. Education: MSc in applied mathematics and mechanical engineering (focus on soft robotics). Research Interests: Soil-plant interactions, biofilm modeling, and biophysical constraints in ecological systems. His recent publications explore topics like phosphate removal mechanisms in soil, Xylella fastidiosa biofilm spread in olive trees, and high-throughput analysis of plant stem structures. He supervises two PhD students in Engineering and the Environment. Dr. Ruiz aims to extend biomechanical quantification techniques for broader applications, leveraging interdisciplinary approaches.

• Machine Learning
• Computer Vision
• Medical Imaging
• +۷ مورد دیگر

Ali Gooya is a Senior Lecturer (Associate Professor) in Machine Learning at the School of Computing Science, University of Glasgow, UK. His research focuses on probabilistic deep learning applied to medical imaging, particularly in cardiology and oncology, emphasizing semi/unsupervised methods due to sparse expert annotations. He holds a PhD in medical image analysis from the University of Tokyo (2007) and has held academic positions at the University of Leeds and Sheffield before joining Glasgow in 2022. Affiliations: Senior Lecturer in Machine Learning, University of Glasgow (2022–present) Lecturer in Computing, University of Leeds (2018–2022) Lecturer in Computing, University of Sheffield (2016–2018) Postdoctoral Researcher, University of Pennsylvania (2008–2011) Research Interests: Deep learning for medical imaging, probabilistic modeling, cardiac and cancer imaging, computational anatomy, and marker discovery. Key applications include motion analysis, segmentation, and predictive modeling in healthcare. Key Achievements: Won prestigious fellowships including Allen Touring Institute (2022), JSPS Short-Term (2020), Marie-Curie IIF (2014), and JSPS-PDRA (2008). Pioneered Bayesian deep learning frameworks for cardiac motion assessment and generative models in medical imaging. Grants & Supervision: EPSRC Impact Acceleration Award (PI) EPSRC New Investigator Grant (EP/S012796/1) Actively supervising PhD students in areas like Bayesian deep atlases for cardiac motion analysis. Labs & Teams: Leads research in medical AI within the School of Computing Science, collaborating on projects integrating imaging and patient metadata for clinical decision support.

• Biometrics
• Biometric Systems
• Computer Vision
• +۵ مورد دیگر

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

Boris Gutmanمشاهده پروفایل

استادیار

• Medical image analysis
• Neuroimaging
• Imaging biomarkers of neurodegenerative disease
• +۴ مورد دیگر

Boris Gutman is an Assistant Professor of Biomedical Engineering at Illinois Institute of Technology , affiliated with the Armour College of Engineering . He holds a Ph.D. and B.S. in Biomedical Engineering and Applied Mathematics respectively from the University of California, Los Angeles (UCLA) .

Swati Biswasمشاهده پروفایل

استاد

• Biostatistics
• Statistical Genetics
• Genetic Epidemiology
• +۳ مورد دیگر

Dr. Swati Biswas is a Professor and Associate Department Head in the Department of Mathematical Sciences at the University of Texas at Dallas (UTD). She holds a Ph.D. in Biostatistics from The Ohio State University (2003) and has held academic positions at UTD since 2012, including roles at the University of North Texas Health Science Center prior to that. Her research focuses on biostatistical methods for genetic epidemiology, cancer genetics, and risk prediction modeling, with a particular emphasis on Bayesian approaches. Education: B.Sc. (1994), M.Sc. (1996) in Statistics from the University of Delhi, followed by a Ph.D. in Biostatistics from The Ohio State University (2003). She completed a postdoctoral fellowship at MD Anderson Cancer Center (2004–2005). Research interests include statistical genetics, rare haplotype analysis, Bayesian clinical trials, and personalized risk prediction models for diseases like breast cancer and substance use disorders. She has developed tools such as CBCRisk for contralateral breast cancer prediction and Bayesian hierarchical models for pathway analysis. Her publications span over 40 peer-reviewed articles, focusing on methodological advancements in genetic association studies and clinical risk modeling. Notable awards include the 2016 Young Researcher Award from the International Indian Statistical Association and the 2011 President’s Award for Educational Excellence from UNT HSC. Dr. Biswas has secured grants totaling over $10M, including NIH funding for projects like multifrequency ultrasound imaging for breast cancer monitoring and Bayesian meta-analysis of cancer risk. She mentors doctoral students and has advised nine completed dissertations, with several current students.

James McLaughlinمشاهده پروفایل

استاد

• Solar Physics
• Astrophysics
• Plasma Physics
• +۳ مورد دیگر

James McLaughlin is a Professor of Physics at Northumbria University, specializing in solar physics and magnetohydrodynamics. He holds a PhD from the University of St Andrews and previously worked at NASA Goddard Space Flight Center and the University of St Andrews as a Research Fellow. His research focuses on magnetic reconnection, solar coronal dynamics, and MHD wave behavior. He leads the Solar and Space Physics Group and secured a £1.29M STFC grant (2023–2026). McLaughlin supervises PhD students exploring oscillatory reconnection dynamics and has authored over 50 peer-reviewed papers. He is a Fellow of the Royal Astronomical Society and a Member of the Institute of Physics. Education: MSci (Mathematics & Physics), Durham University, 2002 PhD (Applied Mathematics & Solar Physics), University of St Andrews, 2002–2006 Research Interests: Magnetic reconnection mechanisms, solar flare dynamics, coronal heating, MHD wave propagation, and plasma diagnostics in extreme astrophysical environments. His work bridges theoretical modeling, numerical simulations, and observational data from instruments like SDO/AIA and DKIST. Recent Projects: STFC Consolidated Grant: Solar and Space Physics Group (£1.29M, 2023–2026) Awards: Fellow of the Royal Astronomical Society (2002) Member of the Institute of Physics (1998) Advising & Grants: Supervises PhD students Ryan Smith and Jordan Talbot. His research explores oscillatory reconnection’s role in generating solar waves and energy release. He collaborates internationally on space physics missions and heliophysics studies.

Andrea Meilán-Vilaمشاهده پروفایل

استادیار

• Nonparametric Estimation
• Directional Statistics
• Kernel Smoothing
• +۳ مورد دیگر

Andrea Meilán-Vila is an Assistant Professor in the Department of Statistics at Universidad Carlos III de Madrid since 2021, holding a Juan de la Cierva Fellowship since 2023. She earned her PhD in Statistics from Universidade da Coruña (2021) and previously served as a Postdoctoral Fellow at Universidade de Santiago de Compostela's Department of Statistics, Mathematical Analysis and Optimisation. Her research focuses on nonparametric methods for analyzing complex data types, including directional, spatial, and functional data. Key areas include kernel smoothing techniques, goodness-of-fit testing for regression models, and spatial trend estimation. She serves as an Associate Editor for the Journal of Nonparametric Statistics . Recent work emphasizes applications in climate science (temperature curve modeling), fluid dynamics (wake flow control), and biomedical imaging (hippocampus shape analysis). Her methodologies address challenges like sparse data estimation and spatial correlation in regression frameworks. Key Projects: STENED (Stein-based goodness-of-fit tests for non-Euclidean data) Awards: Juan de la Cierva Fellowship (2023) Publications span journals like Journal of Fluid Mechanics , Statistical Papers , and TEST , with a focus on methodological advancements in statistical modeling and computational validation.

• Pediatric Psychology
• Adolescent Health
• Behavioral Medicine
• +۶ مورد دیگر

Cara Tomaso, Ph.D., is an Assistant Professor and licensed clinical psychologist specializing in pediatric psychology at Yale School of Medicine. Her practice is embedded within the Section of Pediatric Orthopaedics and Rehabilitation at Yale New Haven Hospital, where she contributes to the Yale Limb Restoration and Lengthening Program and the Female+ Athlete Program. She provides behavioral health consultation to multidisciplinary teams and direct interventions for youth and families navigating chronic/acute health conditions, surgical readiness, and behavioral pain management. Dr. Tomaso’s education includes a PhD from the University of Nebraska-Lincoln (2023) and postdoctoral training at the Yale Child Study Center (2024). Her research focuses on the interplay between executive control, mental health, sleep, and obesity-related outcomes across developmental stages. Her work integrates longitudinal studies on childhood executive function’s role in BMI trajectories, pandemic-related psychopathology buffering, and neurobiological mechanisms of obesity. She has published extensively on adolescent health behaviors, sleep’s impact on mood/emotion regulation, and culturally informed approaches to stress resilience in college students. Dr. Tomaso’s clinical and research expertise bridges behavioral medicine, developmental psychology, and pediatric healthcare systems.

Michael Morrisمشاهده پروفایل

استاد

• Human Centered Leadership
• Human Centered Design
• Strategic HR
• +۵ مورد دیگر

Michael Morris is the Associate Dean of Undergraduate Studies and Student Affairs and the John W. Fisher Professor of Innovative Learning at the Haslam College of Business , University of Tennessee, Knoxville. His career includes leadership roles such as Director of the Smith Global Leadership Scholars program and department head at Haslam, alongside corporate experience as a metallurgical R&D special projects engineer at Teledyne Firth Sterling. His research spans Human Centered Leadership , Strategic HR , Leadership Development , and Work-Life Harmony . His work, appearing in top-tier journals like Organizational Research Methods and Family Relations , integrates machine learning for disease forecasting, HRD theories, and interdisciplinary approaches to workplace wellness. His recent publications focus on infectious disease modeling , fMRI reliability , and socioemotional wealth in family firms. He serves on editorial boards for Academy of Management Learning & Education and contributes to certifications from the National Council on Family Relations and IDEO. Past President, Academy of Human Resource Development