جست‌وجوی استاد و پژوهشگر

Brett Welchمشاهده پروفایل

استادیار

• Psychology
• Communication Disorders
• Voice Disorders
• +۴ مورد دیگر

Brett Welch is an Assistant Professor and Biostatistician at the University of Houston with dual appointments in the Department of Communication Sciences and Disorders and the Department of Psychological, Health, and Learning Sciences within the College of Liberal Arts and Social Sciences. Dr. Welch's educational background includes: Ph.D. in Communication Science and Disorders from the University of Pittsburgh M.S. in Communication Sciences and Disorders from the University of Texas Rio Grande Valley B.S. in Linguistics from the University of Texas at Austin B.A. in Communication Sciences and Disorders – Speech-Language Pathology from the University of Texas at Austin Dr. Welch's research sits at the intersection of psychology and communication. He seeks to understand how psychological processes like personality and psychopathology influence communication behaviors, and conversely, how communication behaviors impact psycho-social well-being. His work leverages quantitative methods, cross-sectional studies, and intensive longitudinal designs to interrogate the dynamic interplay between psychological processes and voice and communication behaviors. This research aims to advance understanding of functional voice disorders, improve assessment of psychopathology, and promote well-being for people with and without communication disorders. Dr. Welch has received several notable awards: Honors Council of Academic Programs in Communication Sciences and Disorders PhD Scholarship (2024) New Century Scholars Doctoral Scholarship from the American Speech-Language-Hearing Foundation (2023) New Investigator Forum from The Voice Foundation (2021) As an academic, Dr. Welch serves as an ad hoc peer reviewer for various scientific journals in speech-language pathology and psychology. He is also a mentor in the Students to Empowered Professional Mentoring Program and a member of the American Speech-Language-Hearing Association. His teaching includes Special Problems: Introduction to Quantitative Modeling (COMD 8398). Dr. Welch maintains an active research program focused on the intersection of psychology and communication, with particular emphasis on voice disorders and their psychological correlates. His work combines biostatistical approaches with clinical insights to advance understanding in this specialized field.

Qing Zhouمشاهده پروفایل

استاد

• Developmental Psychology
• Clinical Science
• Socio-Emotional Development
• +۶ مورد دیگر

Dr. Qing Zhou is a Professor of Psychology at the University of California, Berkeley, and Director of the Culture and Family Study Lab. He received his Ph.D. from Arizona State University and specializes in understanding how cultural context, family dynamics, and temperament influence children's socio-emotional, academic, and executive function development, with a focus on immigrant families. Key research interests include: Developmental psychopathology Temperament and emotion regulation Family socialization and parenting Impact of bilingualism on child development Cultural values and migration effects on adjustment His work employs multi-method approaches, including questionnaires, behavioral observations, and neuropsychological testing, with ongoing projects like the NICHD-funded longitudinal study on dual language learners and the Chau Hoi Shuen Foundation-supported grandparent involvement research. Collaborations include scholars at UC-Davis, UC-Merced, Wellesley College, and institutions in France and Taiwan. Dr. Zhou has trained numerous students, including current doctoral candidates Xinyi Chen, Erika Roach, and Christopher Gys, as well as alumni at institutions like Harvard, Stanford, and UCSF. His lab's publications emphasize cross-cultural comparisons, longitudinal designs, and intervention implications for immigrant youth.

Jillianne Codeمشاهده پروفایل

دانشیار

• Learner agency
• Educational technologies
• Technology-enhanced learning
• +۹ مورد دیگر

Dr. Jillianne Code is an Associate Professor at the University of British Columbia's Faculty of Education, Department of Curriculum & Pedagogy, directing the ALIVE Research Lab. Her work focuses on learner agency, educational technologies, and social media's impact on student success. Specializes in immersive virtual environments for assessment Researches self-regulated learning and formative feedback Investigates health education through digital interventions Her recent publications examine pandemic-era educational transitions, digital literacy in teacher training, and cognitive tools in virtual reality. She has received Outstanding Paper Awards for her work on immersive assessment. Dr. Code leads research projects on learning analytics, student engagement in digital spaces, and technology education sustainability. Her work bridges educational theory with practical interventions through digital badges, mobile health applications, and 3D learning environments.

Paola Madiniمشاهده پروفایل

مدرس ارشد

• Management Control Systems
• Budgeting
• Performance Measurement
• +۳ مورد دیگر

Dr. Paola Madini serves as Senior Lecturer in Accounting within the Department for Accounting and Finance at Kent Business School, University of Kent. Holding a PhD from Bocconi University and PGCHE from Kent, she specializes in management control systems with prior academic appointments at ESADE and SDA Bocconi School of Management. Education: PhD in Business Administration and Management (Accounting and Control specialization), Bocconi University PGCHE, University of Kent Fellow of the Higher Education Academy Her research examines management control systems (MCS) design and behavioral implications, focusing on budgeting processes, performance measurement, and inter-organizational relationships. Using field-based case studies and surveys with finance professionals, she bridges academic theory with practical applications in accounting management. Recent work investigates pandemic impacts on UK healthcare organizations' MCS and explores management accounting education through participative teaching methodologies and flipped learning approaches. Publication analysis reveals consistent contributions to management accounting literature, with recurring themes in MCS configurations (coercive, enabling, diagnostic, interactive), budgetary design, and industry-specific applications in fashion/retail sectors. Her work demonstrates evolving focus from traditional budgeting processes toward contemporary challenges like emerging market dividend policies and pandemic-driven organizational adaptations. Scientific Awards: Distinguished Reviewer Award 2017 (Journal of Management Control) Runner up reviewer 2015 (Journal of Management Control) She actively supervises postgraduate research including six Master's theses on managerial reporting systems in retail, fashion company accounting implementations, and neo-colonial accounting education frameworks. Industry collaborations include IBM Italy (integrative finance organizations), DocFlow (document management systems), and CIMA (fashion company accounting systems), with current projects examining pandemic impacts on UK healthcare management control systems. As member of the McGraw Hill Higher Education Advisory Board and conference committees (Socialising Business Research, AAA Annual Meeting), she contributes to academic community development while advising publishers on management accounting textbook development and portfolio strategies.

• Human-Computer Interaction (HCI)
• Quantitative HCI
• Mixed Reality
• +۴ مورد دیگر

Jay Henderson is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland, leading the Human-Computer Interaction (HCI) Lab. His research focuses on quantitative HCI, measuring human performance with emerging technologies such as mixed reality and generative AI. He holds a PhD from the University of Waterloo and has held roles including Postdoctoral Fellow at Carleton University and Senior Research Scientist at Huawei Technologies Canada. Education: PhD in Computer Science, University of Waterloo (2021) BSc Hons in Computer Science (minors in Mathematics and Psychology), Mount Allison University (2016) Research Interests: Henderson’s work bridges computer science with psychology and mathematics, emphasizing objective measurement of user interactions. Key areas include mixed reality productivity, generative AI interfaces, gesture-based input, and multimodal feedback systems. His quantitative approach ensures practical insights for technology design. Key Grants & Awards: NSERC Discovery Grant ($155,000 over 5 years) NSERC Discovery Launch Supplement ($12,500) David R. Cheriton Graduate Scholarship ($20,000 over 2 years) Teaching & Supervision: Teaches courses like COMP 4303 (AI for Games) and supervises multiple graduate and undergraduate researchers. Notable supervisees include Daniel Jo (MSc) and Arunav Saha (BSc Honours). Service Contributions: Served on ACM committees including Graphics Interface and CHI Late Breaking Work. Acted as Virtual Chair for ACM ASSETS 2024 and contributed to ACM’s name change policy as a transgender advocate.

• Educational Science
• Empirical Research in Education
• Student Motivation
• +۵ مورد دیگر

Rainer Watermann is a Full Professor for Empirical Research in Education at the Free University of Berlin since 2011, previously serving as Full Professor for Education and Empirical Research in Schools at Georg-August University of Göttingen (2005-2011). His academic career includes significant research positions at the Max Planck Institute for Human Development in Berlin (1997-2005). Watermann earned his Diploma in Educational Science from the University of Münster (1996), followed by a Dr. phil (2002) and Habilitation (2005), both from Freie Universität Berlin. His educational background established the foundation for his extensive research in educational transitions and disparities. His research focuses on educational transitions, particularly from primary to secondary school and into higher education, examining motivational factors, social background influences, and achievement goal development. Watermann's work consistently addresses how social disparities affect educational opportunities and outcomes, with particular attention to gender differences and longitudinal developmental patterns. His methodological expertise includes latent class analysis, structural equation modeling, and large-scale assessment design. Watermann's publication portfolio reveals consistent research trajectories examining motivational frameworks (particularly expectancy-value theory), educational transitions, social disparities in education, and political socialization. His work spans both theoretical development and practical applications for educational policy and practice, with increasing focus on intervention effectiveness in recent years. As an active member of the academic community, Watermann serves on multiple editorial boards including the Swiss Journal for Educational Sciences and Empirical Educational Science , and regularly reviews for major educational and psychological journals. He has also contributed to significant research centers, including serving as spokesman for the Center for Empirical Research on Teaching and Learning in Schools (ZeUS) at the University of Göttingen (2008-2010). Watermann maintains an active research program with numerous collaborations across Germany and internationally, evidenced by his consistent publication record through 2025. His work bridges educational psychology, sociology of education, and policy-relevant research, maintaining strong connections between theoretical frameworks and practical educational contexts.

Zara Ersozluمشاهده پروفایل

مدرس ارشد

• Mathematics Education
• Educational Psychology
• Metacognition
• +۹ مورد دیگر

Dr. Zara Ersozlu is a Senior Lecturer in Mathematics Education within the School of Education at the University of Newcastle, Australia. With a distinguished international career spanning multiple continents, she has held academic positions at prestigious institutions including North Carolina State University (USA), Gazi and Gaziosmanpasa Universities (Turkey), National Taiwan Normal University (Taiwan), The University of Western Australia, Murdoch University, and Deakin University. Her academic journey includes tenured positions as an Associate Professor and leadership roles as Department Head and Chair in teacher education disciplines. Currently, she teaches undergraduate and postgraduate courses in mathematics education, including Effective Pedagogies in Primary Mathematics, K-6 Mathematics, K-6 Numeracy, and Digitally Supported Learning. Dr. Ersozlu earned her Doctor of Philosophy from Firat University in Turkey and her Master of Art from Sakarya University. Her extensive academic preparation is complemented by five years of practical teaching experience in public schools prior to entering academia. This blend of theoretical knowledge and practical classroom experience informs her approach to teacher education and educational research. At the broadest level, Dr. Ersozlu's research investigates solutions to real-life problems impacting people's well-being, success, and capacity to achieve. Her scholarly work spans primary and secondary mathematics education, the psychology of mathematics (including metacognition, self-regulation, and anxiety), cross-cultural educational studies, teacher education, virtual simulated learning environments, and educational assessment. She has increasingly focused on the transformative potential of AI and machine learning in education, exploring how these technologies alter teaching, learning, and research processes. Her methodological expertise encompasses both quantitative and qualitative approaches, allowing her to effectively analyze both small and large educational datasets. Analysis of Dr. Ersozlu's recent publications reveals a strong emphasis on mathematics anxiety, teacher education, and the integration of technology in learning environments. Her work demonstrates a consistent focus on practical applications of educational research to address real-world challenges in mathematics education. The interdisciplinary nature of her research connects educational psychology, technology integration, and cross-cultural perspectives, with particular attention to how these elements intersect in teacher preparation and student learning outcomes. 2023 ATEA Research Recognition Award from the Australian Teacher Education Association 2021 Fellow of the Higher Education Academy (Advance HE, UK) 2010 Fellowship Program for Postdoctoral Researchers from the Council of Higher Education of Turkey Dr. Ersozlu is deeply committed to mentoring the next generation of scholars, currently supervising four PhD students and having successfully guided ten students to completion. Her grant portfolio includes significant funding for projects such as Best Practice Guidelines for RPL in Initial Teacher Education Programs ($60,000), Exploring the Reciprocal Relationship Between Mathematics Anxiety and Mathematical Resilience ($2,599), and multiple conference travel awards. She serves as an Associate Editor for several prominent journals including the International Electronic Journal of Mathematics Education and as Editor for Interdisciplinary STEM Education. Her editorial work reflects her standing as a respected voice in mathematics education research. Dr. Ersozlu's academic leadership extends to her role in developing innovative teaching approaches that integrate virtual simulation technology and learning analytics. Her work with TeachLivE™, a mixed-reality classroom simulation platform, demonstrates her commitment to creating authentic learning experiences for teacher education students. Through these initiatives, she bridges the gap between educational theory and classroom practice, preparing future educators to effectively implement evidence-based teaching strategies in diverse learning environments.

Gary Kingمشاهده پروفایل

استاد

• Political Methodology
• Statistical Inference
• Quantitative Social Science
• +۷ مورد دیگر

Gary King is the Albert J. Weatherhead III University Professor at Harvard University and Director of the Institute for Quantitative Social Science. He is based in the Department of Government within Harvard's Faculty of Arts and Sciences. One of only 22 University Professors at Harvard, this represents the institution's most distinguished faculty position. King received his B.A. from SUNY New Paltz in 1980 and his Ph.D. from the University of Wisconsin-Madison in 1984. His academic journey has led him to become one of the most influential scholars in political methodology and quantitative social science. Professor King's research spans numerous areas of methodological innovation in the social sciences. His work focuses on developing and applying empirical methods across various domains. Key research interests include: Ecological Inference - developing methods to infer individual behavior from group-level data Automated Text Analysis - creating techniques for extracting knowledge from massive text collections Causal Inference - methods for detecting and reducing model dependence in causal effect estimation Missing Data and Measurement Error - statistical approaches to handle incomplete or imperfect data Survey Research - developing methods for more accurate cross-cultural survey comparisons Unifying Statistical Analysis - integrating diverse methodological approaches into coherent frameworks King's recent publications demonstrate a continued focus on methodological innovation with practical applications. His work spans political science, public health, and data science, with particular emphasis on privacy-preserving data analysis, maternal health metrics, survey methodology, and media effects. A notable trend is the increasing interdisciplinary nature of his research, bridging political methodology with public health, computer science, and demography. His work on census data privacy, maternal mortality disparities, and media influence represents cutting-edge applications of social science methodology to critical societal issues. His scientific achievements have been recognized with numerous prestigious awards: Fellow of the National Academy of Sciences (2010) Fellow of the American Statistical Association (2009) Fellow of the American Academy of Arts and Sciences (1998) Guggenheim Foundation Fellow (1994-1995) Career Achievement Award (2010) Warren Miller Prize (2008) Multiple awards for research software and methodology King has mentored numerous students and postdocs, many of whom now hold faculty positions at leading universities. His research has been supported by major funding agencies including the National Science Foundation, Centers for Disease Control and Prevention, World Health Organization, and National Institute of Aging. He has collaborated with over seventy scholars on research publications and served on numerous editorial boards and professional organization councils. His work on the Mexican universal health insurance program represents one of the largest randomized health policy experiments to date, demonstrating his commitment to rigorous evaluation of real-world policy interventions. As Director of the Institute for Quantitative Social Science, King leads a vibrant research community focused on methodological innovation. His work has practical applications in diverse areas including legislative redistricting (used by the U.S. Supreme Court), health policy evaluation (including the largest randomized health policy experiment to date in Mexico), Chinese censorship analysis (revealing government fabrication of 450 million social media comments annually), and automated text analysis (through Crimson Hexagon, a company he co-founded).

Henrike K. Blumenfeldمشاهده پروفایل

دانشیار

• Bilingualism
• Cognitive Psychology
• Language Processing
• +۴ مورد دیگر

Henrike K. Blumenfeld is an Associate Professor at San Diego State University (SDSU), affiliated with the School of Speech, Language and Hearing Sciences within the College of Health and Human Services. She serves as Director of the Bilingualism and Cognition Laboratory and holds joint faculty status in the SDSU/UCSD Joint Doctoral Program in Language and Communicative Disorders. Her primary research focuses on bilingualism, cognitive control, and language processing across the lifespan. Education: Ph.D., Communication Sciences and Disorders, Northwestern University (2001–2008) B.A., Linguistics, Bryn Mawr College (1997–2001) Research Interests: Bilingualism and cognitive aging Cross-linguistic effects in language comprehension Cognitive control mechanisms in bilingual speakers Neurobiological bases of bilingual language processing Assessment of multilingual populations Grants & Awards: She has secured funding from NIH/NIDCD, NSF, and SDSU grants totaling over $200,000. Notable awards include the 2022 CHHS YES Award for service, 2013 Undergraduate Professor of the Year, and multiple research travel grants. Labs/Teams: Directs the Bilingualism and Cognition Lab, collaborating with institutions like the Gary and Mary West Senior Wellness Center and Bangor University’s Centre for Research on Bilingualism.

Nora Uglik-Maruchaمشاهده پروفایل

پژوهشگر ارشد

• Autism in women
• Psychometrics
• Questionnaire development
• +۴ مورد دیگر

Nora Uglik-Marucha is an NIHR Doctoral Research Fellow at King’s College London’s Department of Biostatistics & Health Informatics, affiliated with the Institute of Psychiatry, Psychology & Neuroscience. Her work focuses on autism in women and misophonia through advanced psychometric methodologies. She holds MSc and BSc degrees in Clinical Neuropsychiatry and Psychology from King’s College London. Research interests include gender bias in autism screening tools, measurement invariance analysis, and questionnaire development. Her doctoral project develops novel autism assessment tools for women under Dr. Silia Vitoratou and Prof. Francesca Happé. Key contributions include the S-Five tool for misophonia assessment and validation studies across cultures. She has published on misophonia mechanisms, cross-cultural measurement robustness, and autism screening equity.

• Geriatric Pharmacology
• Deprescribing
• Pharmacoepidemiology
• +۳ مورد دیگر

Nashwa Masnoon is a Postdoctoral Research Fellow in Geriatric Pharmacotherapy at the Kolling Institute, part of the Faculty of Medicine and Health at the University of Sydney. She is also a hospital pharmacist at the Royal North Shore Hospital. Her academic background includes a BPharm(Hons) and a PhD from the University of South Australia, where her doctoral work focused on identifying risks of adverse outcomes from polypharmacy in older adults with multimorbidity. Dr Masnoon’s research interests span geriatric pharmacology, deprescribing practices, pharmacoepidemiology, and quality use of medicines. Her current projects include developing stewardship programs for anticholinergic/sedative deprescribing, optimizing medication use in hospitals for older patients, and educating hospital pharmacists using the Drug Burden Index intervention bundle. She has co-supervised Honours students in 2022 and 2023, focusing on deprescribing in hospital settings and patient-reported experiences post-intervention. Research Themes: Healthy Ageing Key Approaches: Systematic reviews, clinical interventions, pharmacoepidemiological analysis Dr Masnoon has received notable awards including the 2023 FMH Showcase Travel Award, Royal North Shore Hospital Travel Fellowship (2023), and a 2017 People’s Choice Award for her 3 Minute Thesis presentation. Her work emphasizes improving medication outcomes through evidence-based deprescribing and precision medicine approaches. She is affiliated with the Australasian Pharmaceutical Science Association (APSA), International Pharmaceutical Federation (FIP), and Australian Deprescribing Network (ADeN). Her grants include the 2024 electronic frailty index project and a 2022 travel award-funded initiative.

Filip Biljeckiمشاهده پروفایل

استادیار

• Geomatic engineering
• Geospatial technologies
• Urban data science
• +۵ مورد دیگر

Filip Biljecki is an Assistant Professor jointly appointed at the Department of Architecture within the College of Design and Engineering and the Department of Real Estate at the NUS Business School, National University of Singapore. He is the founder and principal investigator of the NUS Urban Analytics Lab and was awarded the prestigious NUS Presidential Young Professorship in 2020. With over 150 peer-reviewed publications, his research bridges geomatic engineering, geospatial technologies, and urban data science to advance digital twins and data-driven urban planning. Dr. Biljecki's educational background includes: PhD in 3D GIS (cum laude), Delft University of Technology, Netherlands (2017) MSc in Geomatics, Delft University of Technology, Netherlands (2010) BSc in Geodesy and Geoinformatics, University of Zagreb, Croatia (2008) His research interests focus on emerging urban data sources, particularly urban imagery, and their application in 3D city modeling, digital twins, and GeoAI. He explores how crowdsourcing and open science can inform cutting-edge techniques for urban sensing and analytics at city-scale. His work significantly contributes to establishing smart cities through innovative methods that integrate recent advancements in computer science, geomatics, and urban data science. Analysis of his recent publications reveals a strong focus on street view imagery applications for urban analytics, digital twin development, and geospatial AI. His research spans multiple domains including urban morphology, environmental assessment, public health applications, and urban comfort analysis. The interdisciplinary nature of his work is evident in collaborations with researchers from diverse fields, producing impactful studies that address complex urban challenges through innovative methodological approaches. His notable scientific achievements include: Annual Teaching Excellence Award (ATEA), 2025 College Educator Award AY2023/2024, 2025 Urban Informatics Paper of the Year Award, 2023 Top 2% scientists worldwide (Stanford University), 2021 Presidential Young Professorship (NUS), 2020 As an educator, Dr. Biljecki has supervised dozens of students leading to publications in leading journals and placements at top universities and organizations. He has delivered talks at over 120 universities and organizations worldwide including MIT, Stanford, Harvard, and ETH Zurich. His research is supported through various grants and affiliations including his role as Principal Investigator at the Future Cities Lab Global at the Singapore-ETH Centre. The NUS Urban Analytics Lab, which he established, brings together scholars from diverse disciplines to drive research on making cities smarter and more data-driven. The lab has developed innovative tools like ZenSVI for street view imagery analysis and has produced influential research on urban digital twins, urban morphology, and GeoAI applications. Through his leadership, the lab continues to pioneer methods that advance data-driven urban planning and smart city development.

• Latent Variable Modeling
• Machine Learning
• Measurement Equivalence
• +۳ مورد دیگر

Dr. David Goretzko is an Assistant Professor in the Department of Methodology and Statistics at Utrecht University's Faculty of Social and Behavioural Sciences. He leads the Measurement and Machine Learning Lab and specializes in the integration of data science techniques with psychometric theory. His academic journey includes: Ph.D. in Psychological Methods from LMU Munich (2020) M.Sc. in Statistics from LMU Munich (2018) M.Sc. in Psychology from LMU Munich (2016) B.Sc. in Physics from LMU Munich (2015) B.Sc. in Psychology from LMU Munich (2014) Dr. Goretzko's research primarily focuses on the intersection of machine learning and psychometrics. His work addresses critical challenges in factor analysis, measurement invariance, and model fit assessment. He develops innovative methods that combine traditional psychometric approaches with modern data science techniques, particularly in the areas of exploratory factor analysis trees, regularized factor analysis, and cost-sensitive machine learning applications in psychological assessment. His research has significant implications for improving the validity and reliability of psychological measurements across diverse populations. His recent publications reveal a strong trend toward integrating machine learning methodologies with traditional psychometric approaches. A significant portion of his work focuses on factor analysis techniques, particularly addressing the challenge of determining the appropriate number of factors. His research also extensively covers measurement invariance testing across multiple covariates using tree-based approaches, and he has made notable contributions to evaluating model fit in confirmatory factor analysis. The interdisciplinary nature of his work spans psychology, statistics, and computer science. Dr. Goretzko serves as an Associate Editor for the European Journal of Psychological Assessment and is an active reviewer for numerous prestigious journals including Psychological Methods, Behavior Research Methods, and Structural Equation Modeling. He also reviews grant proposals for major funding agencies such as the German Research Foundation (DFG), National Science Foundation (NSF), and Dutch Research Council (NWO). He currently holds a Project Grant from the German Research Foundation (DFG GO 3499/1-1) since 2021. His research program focuses on developing and validating new methodologies for psychological assessment that incorporate machine learning techniques while maintaining psychometric rigor. His work has practical applications in educational measurement, clinical psychology, and organizational assessment. Dr. Goretzko leads the Measurement and Machine Learning Lab at Utrecht University, which focuses on developing innovative methodologies that bridge the gap between traditional psychometrics and modern data science. The lab's research has particular relevance for improving measurement practices in cross-cultural research, educational assessment, and clinical psychology settings where measurement invariance and factor structure validation are critical concerns.

Donguk Leeمشاهده پروفایل

استادیار

• Noise-Induced Hearing Loss
• Auditory Efferent Systems
• Otoacoustic Emissions
• +۴ مورد دیگر

Donguk Lee is an Assistant Professor in the Department of Audiology and Speech Language Pathology at the University of North Texas. He holds a Ph.D. from the University of Tennessee Health Science Center (2023) and previously worked as an audiologist in clinical and hearing aid settings. He also served as a medic in the South Korean Navy, providing medical support in naval and land-based environments. His research focuses on preventing noise-induced hearing loss through studies of auditory efferent systems, leveraging techniques like otoacoustic emissions and auditory evoked potentials. Dr. Lee’s work addresses both clinical and environmental aspects of hearing conservation. His recent studies explore variability in medial olivocochlear reflex responses to noise exposure and the interplay between efferent unmasking and cortical processing. Earlier work assessed noise levels in stadiums, subways, and other public spaces, linking environmental noise to hearing health risks and public attitudes. He was awarded the 2022 Student Research Grant in Audiology from ASHA for his innovative contributions to hearing loss prevention. His articles span from 2014 to 2023, reflecting a trajectory from hearing aid technology development to advanced auditory physiology and environmental noise policy implications.

Stephanie Rogersمشاهده پروفایل

استادیار

• Geospatial Technologies
• Environmental Applications
• Water Quality and Contamination
• +۶ مورد دیگر

Stephanie Rogers is an Assistant Professor of Geosciences at Auburn University's College of Sciences and Mathematics, specializing in geospatial technologies and environmental applications. She leads the GeoIDEA Lab, focusing on GIScience, water quality modeling, and environmental impacts on honey bee colonies. Her research integrates emerging technologies like drones for ecological monitoring and addresses interdisciplinary challenges such as groundwater management and pollution tracking. Education: PhD in Geosciences from the University of Fribourg, Switzerland. Research Interests: Rogers' work bridges geospatial innovation with real-world problem-solving. Key areas include: GIS-driven environmental monitoring and modeling Drone-based assessment of water quality and algal blooms Groundwater contamination dynamics and public health implications Honey bee colony health through spatial analysis Advising & Grants: Currently mentors two trainees (Bethany Foust and Mallory Jordan) and collaborates on projects funded by environmental agencies. Her grants focus on geospatial data integration for ecological decision-making. Labs/Teams: GeoIDEA Lab coordinates multidisciplinary efforts in environmental geoscience, with active projects in Alabama's Black Belt region and international glacial archaeology initiatives.