جست‌وجوی استاد و پژوهشگر

Kathy Pezdekمشاهده پروفایل

استاد

• Eyewitness Memory
• Autobiographical Memory
• Memory Suggestibility
• +۶ مورد دیگر

Dr. Kathy Pezdek is a Professor in the Department of Psychology at Claremont Graduate University. With expertise in applied cognitive psychology and law-psychology intersections, she has conducted extensive research on eyewitness memory, memory suggestibility, lineup techniques, and autobiographical memory, serving as an expert witness in federal, state, and superior court cases. Her academic credentials include a PhD (1975), MA (1972), and BS (1971) in Psychology from the University of Massachusetts, Amherst, and University of Virginia, Fredericksburg. Education: PhD, MA, and BS in Psychology. Professional Affiliations: Fellow of the Association for Psychological Science and Psychonomic Society. Dr. Pezdek's research focuses on eyewitness memory reliability, particularly how body-worn cameras, surveillance systems, and substance use affect memory accuracy. Her work bridges cognitive psychology with legal system applications, addressing critical issues like false memory myths, estimator variables, and science-based standards for forensic identification. She has published extensively in journals including Psychology, Crime & Law , Current Directions in Psychological Science , and Journal of Applied Research in Memory and Cognition . Recent publications highlight the cognitive consequences of body-worn camera footage, the cross-race effect in face recognition, and the impact of nonprobative evidence on legal judgments. Her editorial roles include serving as North American Editor of Applied Cognitive Psychology and membership on editorial boards for Journal of Applied Psychology , Legal and Criminological Psychology , and Journal of Trauma & Dissociation . Scientific Awards: Fellow of the Association for Psychological Science (APS) Fellow of the Psychonomic Society Teaching Interests: Applied cognitive psychology, law and psychology, memory and cognition, statistics, and research design. She has held leadership roles in the Society for Applied Research in Memory and Cognition (SARMAC) and contributed to professional associations like the American Psychology-Law Society.

Olga Walshمشاهده پروفایل

دانشیار

• Soil Fertility
• Plant Nutrition
• Precision Agriculture
• +۷ مورد دیگر

Olga Walsh is an Associate Professor in Small Grains Research and Extension at the School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University (Virginia Tech). Her role emphasizes both Extension (70%) and Research (30%), focusing on corn, small grains, and alternative grain and silage crops to enhance agricultural productivity, sustainability, and economic value. She collaborates extensively with Virginia Cooperative Extension Agents, Agricultural Research Extension Centers, and stakeholder groups such as the Virginia Grain Producers Association. Education: Ph.D. in Soil Science, Oklahoma State University, 2009 M.S. in Soil Science, Oklahoma State University, 2006 B.S. in Soil Science, St. Petersburg State University, 1997 Her research centers on soil fertility, plant nutrition, precision agriculture, and remote sensing, with a strong emphasis on sustainable cropping systems. She investigates nutrient and water use efficiency, crop diversification, and grower-focused recommendations to improve farm profitability and environmental stewardship. Her work integrates interdisciplinary approaches to solve real-world challenges faced by agricultural producers across Virginia and the Mid-Atlantic and Southeastern regions. The analysis of her recent publications reveals a consistent focus on precision agriculture technologies—particularly UAVs and handheld sensors—for monitoring crop health, nitrogen status, and yield prediction in wheat and corn systems. She advances sensor-based nutrient management, irrigation-nitrogen interactions, and on-farm research methodologies, contributing significantly to both scientific knowledge and practical extension tools. Scientific Awards: Outstanding Associate Editor Award, Agronomy Journal, 2017 Outstanding PhD Student Award, Dept of Plant and Soil Sciences, Oklahoma State University, 2008 Sitlington Enriched Graduate Scholarship, 2007–2009 Dr. Walsh has mentored 5 graduate students as Major Professor, served on 7 graduate committees, and advised 4 post-doctoral scientists. She has trained 36 technical support staff. Her research is supported by substantial external funding, with total grants awarded exceeding $11 million in spending authority. She holds leadership roles in professional societies, including the Soil Science Society of America and the American Society of Agronomy, and has served on editorial boards and university-level committees. She is actively engaged in disseminating knowledge through scholarly presentations (over 250 regional, national, and international talks), extension bulletins, peer-reviewed journals, and popular press articles. Her work bridges the gap between academic research and practical agricultural application, ensuring impactful outreach and innovation in grain crop systems.

Raymond de Callafonمشاهده پروفایل

استاد

• System Identification
• Control Theory
• Adaptive Control
• +۱۳ مورد دیگر

Raymond de Callafon is a Professor in the Department of Mechanical and Aerospace Engineering (MAE) at the University of California, San Diego (UCSD). He is a key faculty member in the Dynamic Systems & Control (DS&C) group, where he conducts research and teaches in system identification, adaptive control, and modeling of mechatronic systems. He directs the System Identification and Control Laboratory (SICL) and manages the CMRR Servo Laboratory, both at UCSD. His work bridges theoretical control with practical applications in data storage, aerospace, and vibration control systems. M.Sc., Mechanical Engineering, Delft University of Technology, 1992 Ph.D., Mechanical Engineering, Delft University of Technology, 1998 Raymond de Callafon's research centers on experiment-based modeling, control-relevant system identification, and recursive/adaptive control. His interests extend to nonlinear and linear parameter varying (LPV) systems, with applications in hard disk drives, tape storage systems, active noise and vibration control, and aeroelastic flutter prediction. He has developed modeling techniques applied to structural damage detection and controller tuning for high-precision systems. His recent publications reflect a strong trend in closed-loop system identification, Hammerstein models, adaptive disturbance rejection, and high-precision motion control in data storage devices. The articles span both theoretical advances and experimental validations, often involving dual-stage actuators and real-time control implementations. Co-authored book: Realtime Controller Tuning for Periodic Disturbance Rejection Developed MATLAB toolboxes: LTSfit, CLOSID, FREQID NASA-funded research on flutter control and aeroservoelastic systems Active collaboration with CMRR and industry partners in data storage Raymond de Callafon has advised multiple graduate students and contributed to significant research projects involving adaptive control, robotic systems, and coordinated ocean sensing networks. His teaching includes both graduate and undergraduate courses in system identification, control theory, and laboratory-based engineering education. He has also established the Undergraduate Control Laboratory (UGCL) and taught in the COSMOS summer program on kinetic sculptures. His laboratories, SICL and CMRR Servo Lab, are equipped with advanced facilities for sound and vibration control, real-time prototyping, and high-precision motion experiments, supporting both academic and industrial research in control engineering.

Anastasia Papavasiliouمشاهده پروفایل

مدرس

• Statistical Inference
• Stochastic Filtering
• Multiscale Systems
• +۷ مورد دیگر

Anastasia Papavasiliou is a Lecturer in the Department of Statistics at the University of Warwick, part of the Faculty of Science. Her research lies at the intersection of stochastic processes, statistical inference, and multiscale modeling, with recent interdisciplinary work in RNA biology. PhD, Princeton University (2002) Lecturer, University of Warwick (2005–present) Her primary research interests include stochastic filtering, particle filters, multiscale diffusion processes, and rough differential equations. She has made significant contributions to parameter estimation in complex stochastic systems, particularly in the context of homogenization and multiscale dynamics. Recently, she has extended her work into statistical challenges arising in RNA editing and immune diversity through collaboration with immunologists. Her selected publications span high-impact journals such as Nature Communications , Annals of Statistics , and Multiscale Modeling & Simulation . These works demonstrate a strong trend toward developing rigorous statistical methodologies for systems with multiple time scales and noisy observations, with applications in both physical and biological sciences. Her work increasingly integrates Bayesian modeling and computational statistics to address heterogeneity in biological data. Parameter estimation for multiscale SDEs Maximum likelihood methods in stochastic systems Coarse-grained modeling and homogenization Applications in RNA editing and single-cell variability She advises students and collaborates across disciplines, particularly with researchers in applied mathematics and biology. She has no listed scientific awards in the provided text. She maintains an active research profile with ongoing contributions to statistical theory and its applications. She is affiliated with the Department of Statistics at Warwick and collaborates with researchers such as Terry Lyons (Oxford) and Nina Papavasiliou (DKFZ). Her office is located in MSB3.04, and she is actively involved in teaching and supervision.

Gurjeet Singhمشاهده پروفایل

پژوهشگر

• Soil Moisture Sensing
• Remote Sensing Applications
• Agricultural Drought Monitoring
• +۳ مورد دیگر

Gurjeet Singh is a Researcher affiliated with the Department of Civil and Environmental Engineering (CEE) at Michigan State University’s College of Engineering. His work focuses on advancing soil moisture sensing technologies, remote sensing applications, and geospatial analysis for agricultural and environmental monitoring. He holds a position as a Research Associate, contributing to interdisciplinary projects involving satellite data integration (e.g., SMAP, Sentinel, NISAR missions) and precision agriculture solutions. His research interests include developing low-cost sensor networks, optimizing water resource management through satellite-derived soil moisture products, and analyzing drought patterns in regions like Senegal. He has pioneered methods for uncertainty estimation in soil moisture retrievals and has extensively studied the integration of SAR and optical remote sensing data for hydrological modeling. Recent studies emphasize multi-scale algorithm development for upcoming satellite missions, crop yield prediction under water stress conditions, and improving agricultural drought indices via remote sensing fusion. His work intersects environmental engineering, data science, and climate resilience strategies. Gurjeet collaborates on frameworks for drought hotspot identification, groundwater potential modeling, and precision irrigation optimization. His publications highlight technical innovations in sensor calibration, geostatistical analysis, and machine learning applications for hydrological forecasting. Despite no listed awards, his contributions are evident through impactful peer-reviewed outputs addressing global water and food security challenges.

• Meta-Analysis
• Bayesian Data Analysis
• Nonparametric Statistics
• +۴ مورد دیگر

CHRISTOPHER THOMPSON is an Assistant Professor in the Department of Educational Psychology at Texas A&M University, part of the College of Education & Human Development. He directs the Educational Research and Evaluation Laboratory (EREL). His expertise lies in methodological advancements, particularly meta-analysis and Bayesian data analysis, with applications in educational technology and public health. Education: Ph.D. in Measurement and Statistics, Florida State University (2016) M.S. in Measurement and Statistics, Florida State University (2011) B.S. in Secondary Mathematics Education, Florida State University (2009) Research focuses on video games in education, large-scale testing trends, and statistical education integration. Methodological work includes Bayesian meta-analysis, multivariate synthesis, and nonparametric statistics. Recent publications emphasize meta-analytic techniques applied to health, education, and social behaviors. His grants include Bayesian Methods Training for Educational Research ($800,000 pending) and a TAMU-funded project on bridging meta-analysis and applied research. No awards listed, but grants highlight his impact. Advised two doctoral students: Ashley Majzun (2023) and Brandie Semma (2020). The EREL lab focuses on quantitative research methodologies.

Zhanglong Caoمشاهده پروفایل

پژوهشگر ارشد

• Statistical Modelling
• Bayesian Inference
• Agricultural Spatial Analysis
• +۳ مورد دیگر

Dr. Zhanglong Cao is a Research Fellow at Curtin University's Centre for Crop Disease Management (CCDM), affiliated with the School of Molecular and Life Sciences and the Faculty of Science and Engineering. His research focuses on statistical modeling, Bayesian inference, and computational biology, particularly applied to agricultural challenges such as crop disease management and fungicide resistance. He collaborates on GRDC projects to enhance on-farm trial design and spatial analysis. Research Interests: Statistical Modelling & Bayesian Methods Agricultural Spatial Analysis & Crop Disease Management Computational Biology & Data Science Fungicide Resistance Economics Recent work emphasizes optimizing on-farm experiments, socio-economic impacts of crop diseases, and adaptive algorithms for trajectory reconstruction. His studies bridge statistical innovation with real-world agricultural problems, including wheat and chickpea disease mitigation strategies. Awards: None explicitly listed in available records. Lab Affiliation: Centre for Crop Disease Management (CCDM), Curtin University.

Nicholas J. Rockwoodمشاهده پروفایل

استادیار

• Psychometrics
• Quantitative Psychology
• Statistics
• +۴ مورد دیگر

Nicholas J. Rockwood is an Assistant Research Professor at the School of Behavioral Health, Loma Linda University, and a Senior Psychometrician at RTI Health Solutions. He holds a PhD in quantitative psychology from The Ohio State University, an MA in quantitative psychology, and an MA in applied statistics. His research focuses on psychometric methods, particularly generalized latent variable modeling, multilevel mediation, and software development for statistical analysis. Education: PhD in Quantitative Psychology, The Ohio State University (2019) MA in Quantitative Psychology, The Ohio State University MA in Applied Statistics, The Ohio State University BA, California State University, San Bernardino (2014) Research interests emphasize psychometrics, statistical methodology, and software tools like PLmixed , MLmed , and SPIRIT . These tools address multilevel mediation analysis, explanatory IRT modeling, and generalized linear mixed models. Key grants include the Federal Graduate Psychology Education Programs (Bureau of Health Professions) and projects on autism spectrum disorder, sleep behaviors, and parenting stress. His work bridges statistical innovation with practical accessibility for researchers. Software contributions include the MLmed SPSS macro for multilevel mediation, SPIRIT for IRT analysis, and PLmixed for R. These tools are widely used in behavioral and health sciences.

Kimberly Ward-Duongمشاهده پروفایل

استادیار

• Exoplanets
• Low-Mass Stars
• Planetary Systems Formation
• +۳ مورد دیگر

Kimberly Ward-Duong is an Assistant Professor of Astronomy at Smith College. She holds a Ph.D. in Astrophysics from Arizona State University and a B.S. in Physics from Northern Arizona University. Studied under prestigious fellowships at Space Telescope Science Institute and Five College Astronomy Department Her research focuses on low-mass stars, exoplanets, and planetary system formation. She utilizes observational data from ground-based telescopes in Hawaii, Arizona, and Chile, as well as space-based instruments like the Hubble Space Telescope and upcoming James Webb Space Telescope. Recent publications highlight her expertise in: High-contrast imaging techniques Exoplanet atmospheric characterization Protoplanet accretion processes Substellar companion dynamics Circumstellar disk interactions Space telescope instrumentation Scientific contributions recognized through: Prize Postdoctoral Fellowship at Space Telescope Science Institute Five College Astronomy Department Fellowship At Smith College, she teaches: Introductory astronomy Observational astronomy techniques Data science and statistics for astronomical research

YANG Zhenlinمشاهده پروفایل

استاد

• Spatial Econometrics
• Panel Data Models
• Bootstrap Methods for Refined Inferences
• +۵ مورد دیگر

YANG Zhenlin is Professor of Economics & Statistics at the School of Economics, Singapore Management University (SMU) . He is a Fellow of the Spatial Econometrics Association and serves as Associate Editor for Regional Science and Urban Economics and the Journal of Spatial Econometrics . Education: Ph.D. (Statistics), University of Alberta, Canada, 1992 M.Sc. (Applied Statistics), University of Guelph, Canada, 1987 B.Eng. (Metal Materials), Northeastern University, China, 1983 Research Interests: His work focuses on Spatial Econometrics , Panel Data Models , Bootstrap Methods for Refined Inferences , Event-Time Analysis , Network Econometrics , and Urban & Regional Economics . He integrates advanced econometric techniques with real-world problems in housing, urban development, and policy evaluation. Publications & Trends: Over the last decade his research has concentrated on dynamic spatial panel models, unbalanced panels, threshold effects, and predictive ability testing. His articles appear in top econometrics journals such as Journal of Econometrics , Journal of Business and Economic Statistics , Journal of Regional Science , and Empirical Economics . Awards & Honors: Teaching Excellence Award, Faculty of Arts & Social Science, National University of Singapore (1998) Teaching Excellence Award, National University of Singapore (1998) Student Advising & Grants: He has successfully supervised five PhD students (Liu Shew Fan, Li Liyao, Xu Yuhong, Meng Xiaoyu, Wu Yifan) and multiple Master’s and Honours students. Editorial and guest-editor responsibilities include special issues on spatial econometrics for Regional Science and Urban Economics . Labs & Teams: While no formal lab name is provided, he leads research activities within the Spatial Econometrics and Panel Data group at SMU, collaborating with PhD students and international scholars on funded projects in spatial econometrics and urban policy analytics.

• Biomechanics
• Human Body Modeling
• Human-Machine Interaction
• +۷ مورد دیگر

Laura Gastaldi is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of the Polytechnic University of Turin . She is a member of the PolitoBIOMed Lab and the Master's and Continuing Education School . Her academic roles include teaching in doctoral programs since 2013 and serving as course lecturer/collaborator for topics like Mechanics Applied to Biomedical Systems and Automation of Mechanical Systems . Research Interests : Biomechanics Human Body Modeling Human-Machine Interaction Wearable Robotics Parasports Motion Analysis Her 15 most recent publications focus on wearable inertial sensors, exoskeletons, human-robot collaboration, and mobility assistance devices, spanning Biomechanics , Robotics , and Biomedical Engineering . She leads research projects like EMPATHY (2024-2026) and Promobilia (2023-2024), emphasizing accessibility and industrial sustainability. Laura supervises PhD students Claudia Barattini , Michele Polito , and Mattia Antonelli , and holds patents for Directional propulsion assist devices and Active joints for exoskeletons .

Abderrahman IGGIDRمشاهده پروفایل

پژوهشگر

• Control Theory
• Epidemiological Modeling
• Partial Differential Equations
• +۴ مورد دیگر

Abderrahman IGGIDR is a Researcher at the University of Lorraine, affiliated with the Inria team focused on Partial Differential Equations. His work bridges control theory, mathematical biology, and epidemiological modeling, with a particular emphasis on identifiability, observability, and stabilization in nonlinear systems. His research spans applications in disease transmission (e.g., malaria, SIR models), state estimation for biological systems, and control strategies for dynamical systems. Collaborations include Nik Cunniffe (Cambridge), Alain Rapaport (INRAE), Gauthier Sallet (IECL), and others in interdisciplinary projects. Recent publications highlight expertise in Lyapunov methods, observer design for biomedical applications, and theoretical advancements in control systems for epidemiology. Key themes include parameter estimation, quarantine modeling, and intra-host malaria dynamics.

Luis David Avendaño-Valenciaمشاهده پروفایل

دانشیار

• Structural Dynamics
• Structural Health Monitoring
• Condition Monitoring
• +۷ مورد دیگر

Luis David Avendaño-Valencia is an Associate Professor in the Department of Mechanical Engineering at the University of Southern Denmark's College of Engineering. His research focuses on structural dynamics, monitoring, and damage detection under time-dependent environmental and operational conditions, integrating signal processing, statistics, and machine learning. Education: PhD in Mechanical and Aeronautical Engineering (2016), BEng in Electronic Engineering (2007) External Roles: External Censor at Censorkorps (2023–present), Member of the Danish Center for Applied Mathematics and Mechanics (DCAMM) (2018–present) His work emphasizes system identification and damage diagnosis algorithms for wind turbines, marine systems, and other structures. Key methodologies include Gaussian Process Regression, Bayesian updating, and Linear Parameter Varying (LPV) models. He has contributed to offshore wind turbine blade diagnostics, marine diesel engine monitoring, and uncertainty quantification in vibration analysis. Recent publications highlight hybrid physics-data-driven approaches and multivariate regression techniques to mitigate environmental/operational variability. Collaborations span maritime engineering, wind energy, and machine learning-based diagnostics. He teaches courses on machine learning for structural monitoring, structural vibrations, and time-series methods. Supervision includes PhD projects on digital twins of axial piston pumps and operational regime clustering for wind turbines.

Sridevi Sarmaمشاهده پروفایل

استاد

• Computational neuroscience
• Estimation and control theory
• Neurology
• +۷ مورد دیگر

Sridevi Sarma , a Professor of Biomedical Engineering at Johns Hopkins University's Whiting School of Engineering and Vice Dean for Graduate Education , pioneers computational approaches to understand and treat neurological disorders. Her work bridges dynamical systems theory and clinical neuroscience to address epilepsy, chronic pain, and Parkinson’s disease. She directs the Neuromedical Control Systems Lab (NCSL) and co-leads the Institute of Computational Medicine . Education : PhD in Electrical Engineering and Computer Science (2006), MS (1997) from MIT; BS in Electrical Engineering (1994) from Cornell University Her research integrates neural network modeling , control theory , and clinical data to develop tools like EZTrack —a patented system for epileptogenic zone localization. This tool, commercialized via Neurologic Solutions, Inc. , improves surgical success rates and reduces presurgical hospitalizations. Additional work includes computational models for Parkinson's disease and chronic pain , revealing that high-frequency deep brain stimulation (DBS) restores brain network dynamics rather than merely suppressing abnormalities. Recent publications focus on EEG biomarkers , fMRI network analysis , and machine learning applications in mental health diagnostics. Her lab's work spans epilepsy surgery optimization , neural encoding , and closed-loop stimulation systems . Scientific awards include: GE Faculty for the Future Research Fellowship National Science Foundation Research Fellowship Presidential Early Career Award for Scientists and Engineers (PECASE), 2012 Krishna Kumar New Investigator Award from North American Neuromodulation Society (NANS), 2014 Whiting School of Engineering Teaching Excellence Award, 2015 AIMBE Fellow, 2025 NIH Outstanding Investigator Award, 2025 Sarma contributes to IEEE Transactions on Neural Systems and Rehabilitation as associate editor and leads special issues in Journal of Computational Neuroscience . She actively advises graduate researchers and has appeared on the Emmy-winning series Brain Games as a domain expert.

Annemarie Muntendam-Bosمشاهده پروفایل

دانشیار

• Induced Seismicity
• Geomechanics
• Earthquake Physics
• +۳ مورد دیگر

Annemarie Muntendam-Bos is a part-time Associate Professor of Induced Seismicity at the Faculty of Civil Engineering and Geosciences , Delft University of Technology , with dual affiliation as Senior Specialist in Induced Seismicity at the State Supervision of Mines (SodM) . She holds a PhD in Geophysics (Seismology) from Utrecht University (2003) and has worked in offshore energy, academia (SRON, TNO), and regulatory roles since 2012.