جست‌وجوی استاد و پژوهشگر

Beatrice Piccoliمشاهده پروفایل

مدرس

• Organizational Behavior
• Human Resource Management
• Employee Well-being
• +۵ مورد دیگر

Dr. Beatrice Piccoli is a Lecturer in Human Resource Management at the University of Essex's Essex Business School since September 2017. She holds a joint PhD in Work and Organizational Psychology from the Universities of Verona (Italy) and Leuven (Belgium). Her research focuses on job insecurity, employee well-being, leadership, and organizational behavior. She has been affiliated with KU Leuven's Research Group on Work, Organizational and Personnel Psychology since her postdoctoral role funded by the EU's Horizon 2020 Marie Skłodowska-Curie Grant (2015–2017). Additional affiliations include a visiting scholar position at St. John’s University (New York, 2016) through the COOPERINT grant and a researcher role at the University of Verona (2016). Educational Background: PhD in Work and Organizational Psychology (2015): Joint program between University of Verona and KU Leuven MSc in Management of Training Services (2011): University of Verona Postdoctoral Researcher at KU Leuven (2015–2017): Funded by EU Horizon 2020 Research Interests: Beatrice explores the impact of job insecurity on organizational outcomes (e.g., performance, discretionary behaviors), employee well-being, and household dynamics. She also investigates mindfulness in high-stress professions, proactive personality traits among older workers, and the role of leadership in change management. Her work integrates social exchange theory, psychological contract theory, and cross-cultural perspectives. Grants & Awards: Marie Skłodowska-Curie Individual Fellowship (EU Horizon 2020, 2015–2017) COOPERINT Internationalization Grant (University of Verona, 2016) Banco Popolare Funding for Aging & Well-being Research (2015) Teaching & Supervision: Dr. Piccoli teaches Human Resource Management modules at Essex Business School, focusing on organizational behavior and employee relations. She supports postgraduate research students in areas aligned with her expertise, such as job insecurity and workplace psychology. Labs & Collaborations: She collaborates with KU Leuven's Work and Organizational Psychology group and maintains ties with institutions in Italy and the U.S., emphasizing interdisciplinary research on workplace well-being and policy interventions.

Laurel Youngمشاهده پروفایل

استاد

• Music Therapy
• Social Gerontology
• Palliative Care
• +۸ مورد دیگر

Dr. Laurel Young is a Professor in the Department of Creative Arts Therapies at Concordia University, specializing in music therapy with a focus on gerontology, palliative care, and neurodiverse populations. She holds certifications in the Bonny Method of Guided Imagery and Music (FAMI) and has over 23 years of clinical experience across geriatrics/dementia, oncology, HIV care, and developmental disabilities. Her roles have included Professional Leader of Creative Arts Therapies at Sunnybrook Health Sciences Centre and teaching positions at Wilfrid Laurier University and Temple University. Dr. Young’s research spans multicultural competence in therapy, ethical frameworks, and the intersection of music with health and well-being. Key themes include end-of-life care for dementia patients, singing groups for autistic adults, and bereavement support through music. She has published extensively in peer-reviewed journals and books, including editorial leadership for Barcelona Publishers’ Qualitative Inquiries in Music Therapy Monograph Series (2012–2013). Her work emphasizes bridging research and clinical practice, with a focus on marginalized groups such as older adults, individuals with disabilities, and those facing chronic illnesses. Awards include the 2014 CAMT Research & Publications Award and teaching accolades from Wilfrid Laurier and Temple Universities. Current projects explore AI-assisted therapeutic technologies and community-based music interventions.

• Medical Imaging
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Dr. Neal Bangerter is a Visiting Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He specializes in medical imaging (MRI), artificial intelligence, machine learning, and signal processing. Dr. Bangerter holds adjunct appointments at INSEAD, the University of Utah, and Brigham Young University. His research focuses on ultra-high field MRI, AI applications in healthcare, and data-driven bioscience technologies. He leads the London Collaborative Ultra-High Field Scanner (LOCUS) project and advises companies on AI and innovation strategies. Education: B.S. in Physics (UC Berkeley), M.S. and Ph.D. in Electrical Engineering (Stanford University). Career highlights include roles at McKinsey & Company, Microsoft, and Reactrix, as well as founding BYU's Medical Imaging Research Center. He has pioneered cross-faculty initiatives like the Crocker Innovation Fellowship Program. Research interests include novel MRI pulse sequences, AI in medical imaging, and large-scale health data analysis. His work spans collaborations with Stanford, Oxford, Cambridge, and Siemens Healthcare. He teaches executive education at INSEAD, focusing on bridging technical concepts with business strategies. Key awards include the David Evans Chair at Brigham Young University. His contributions to the UK Biobank Neuroimaging study and development of MRI techniques like RAFO-4 highlight his impact on advancing imaging technologies and AI applications in healthcare.

Joanna Austinمشاهده پروفایل

استاد

• Hypervelocity Flight
• Planetary Entry
• Supersonic Combustion and Detonation
• +۵ مورد دیگر

Joanna Austin is a Professor of Aerospace and serves as the Graduate Option Representative for Aeronautics and Space Engineering, as well as the Undergraduate Option Representative for Aerospace at the California Institute of Technology (Caltech). She leads the Caltech Hypersonics Group, which operates facilities like the T5 Reflected Shock Tunnel and the Hypervelocity Expansion Tube (HET). Her research focuses on reactive, compressible flows in applications such as hypervelocity flight, planetary entry, supersonic combustion, bubble dynamics, and explosive geological events. Key projects include studying shock-boundary layer interactions, Martian atmospheric entry aerothermodynamics, and high-speed fluid-structure interactions. She advises four Ph.D. students and collaborates with a team including staff members like Liza Bradulina and research assistants such as Noel Esparza-Duran. Her work bridges experimental fluid dynamics with geophysical phenomena, leveraging advanced diagnostics like Focused Laser Differential Interferometry (FLDI) and laser spectroscopy. The group’s facilities enable studies of high-enthalpy flows and hypersonic aerodynamics critical for aerospace and planetary exploration. Research highlights include investigations into CO₂ Martian entry conditions, boundary layer transition mechanisms, and fluid-structure coupling in high-speed flows. The Hypersonics Group’s experimental setups replicate extreme environments to advance predictive models for aerospace systems. Her contributions span both fundamental fluid mechanics and applied engineering challenges, with a focus on real-gas effects and shock dynamics. Collaborations with institutions like NASA and academic partners further her interdisciplinary impact.

Toni Whitedمشاهده پروفایل

استاد

• Financial Economics
• Corporate Finance
• Structural Estimation
• +۲ مورد دیگر

Toni Whited is a Professor of Economics at the University of Michigan's Department of Economics, within the College of Literature, Science, and the Arts (LSA). She holds a Ph.D. from Princeton University and has held prior academic positions at the University of Wisconsin, the University of Rochester, and the Ross School of Business. Her research focuses on corporate finance, structural estimation, and corporate investment. She has been recognized with prestigious awards including the Jensen Prize and Brattle Prize. As editor-in-chief of the Journal of Financial Economics, she actively shapes financial economics discourse. Her work integrates structural econometric methods to analyze corporate finance decisions, monetary policy transmission, and the real effects of financial policies. Notable projects include studies on tax impacts on corporate leverage, central bank digital currencies (CBDC), and the role of relative performance evaluation in strategic competition. Whited emphasizes reproducibility in economic research and advocates for rigorous empirical methodologies. Her academic contributions span over three decades, with a strong emphasis on bridging theoretical models and real-world policy implications. She has advised on financial regulatory frameworks and contributed to foundational debates in empirical finance. Whited's current research explores topics such as CBDC effects on banking systems and the interplay between equity market misvaluation and corporate policies.

Guanghao Qiمشاهده پروفایل

استادیار

• Statistical Genetics
• Genomics
• Single-cell RNA Sequencing Analysis
• +۳ مورد دیگر

Guanghao Qi is an Assistant Professor in the Department of Biostatistics at the University of Washington. His research focuses on developing statistical and machine learning methods for multi-omics approaches in genetic studies, particularly integrating single-cell RNA-seq, GWAS, and functional genomic data. Key areas include single-cell eQTL analysis, Mendelian randomization, and multi-trait genetic association analyses. Education: PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health (2020), BS in Mathematics from Fudan University (2015). Research interests emphasize high-dimensional data analysis, allele-specific expression in single cells, and causal inference using genetic variants. Notable achievements include a 2025 NIH K01 award for developing methods to integrate single-cell eQTL and GWAS data, and the development of the TWiST method for single-cell transcriptome-wide association studies. Recent work highlights advancements in computational tools like SURGE for context-specific genetic regulation analysis, and evaluations of Mendelian randomization methods in studies of type 2 diabetes and cardiovascular disease. His work often bridges computational biology and statistical theory to address challenges in interpreting large-scale genomic datasets. Awards: NIH K01 Award (2025) Key Contributions: TWiST method (2025), SURGE framework (2024), HIPO power optimization (2018) Labs/Teams: Active collaborations in genomic epidemiology and statistical genetics, with a focus on single-cell multi-omics integration and causal inference methodologies.

Gaye Stephensمشاهده پروفایل

استادیار

• Health Informatics
• Electronic Health Records
• Patient Engagement
• +۴ مورد دیگر

Gaye Stephens serves as Assistant Professor in the School of Computer Science and Statistics at Trinity College Dublin, where she is a core member of the Centre for Health Informatics alongside Dr. Lucy Hederman and Prof. Mary Sharp. She actively contributes to institutional governance as a board member of the Irish Platform for Patient Organisations, Science and Industry (IPPOSI) and serves on the school's research ethics committee. Her research centers on patient-centered health informatics with focus areas including Electronic Health Record design , citizen engagement methodologies (such as Citizen Juries and Think-ins), and scalable information models for healthcare integration. She pioneers approaches that position patients as central stakeholders in health data governance, addressing critical challenges in digital health literacy, informed consent frameworks, and interoperability between legacy and emerging health technologies. Analysis of her recent publications reveals consistent focus on knowledge engineering for healthcare , with particular emphasis on temporal data modeling in knowledge graphs (2024-2025), nurse knowledge elicitation through serious games (2023-2024), and novel methodologies like the WICKED framework for capturing clinical wisdom (2022-2023). Her work consistently bridges technical informatics with human-centered design principles. Stephens actively contributes to national health informatics infrastructure through memberships in: Royal Academy of Medicine of Ireland Council of Clinical Information Officers National Standards Authority of Ireland Health Informatics Group Health Informatics Society of Ireland (including Nursing and Midwifery group) e-Health Ireland ECOSYSTEM working group She supervises across undergraduate, MSc (Health Informatics and Global Health), and PhD programs while leading client-based final year projects. Her teaching portfolio includes Introduction to Health Informatics, Information Modeling, Connected Health, and Electronic Health Record Architectures, with research advising spanning health data governance and patient engagement projects. Stephens co-leads the Knowledge and Data Engineering Group's Health Informatics research stream, focusing on semantic interoperability, adaptive hypermedia systems, and novel engagement models for health data governance. Her current projects emphasize citizen-centered EHR architectures and interdisciplinary approaches to healthcare data integration.

Eva Enkelmannمشاهده پروفایل

دانشیار

• Tectonics
• Landscape Evolution
• Geo-Thermochronology
• +۲ مورد دیگر

Eva Enkelmann is an Associate Professor at the University of Calgary's Department of Earth, Energy, and Environment. She leads research on orogenic systems evolution using geo- and thermochronology methods. Educational Background: PhD Geology, TU Bergakademie Freiberg, 2005 MSc Geology and Paleontology, University of Freiberg, 2001 Her research examines mountain belt evolution across spatial scales, focusing on interactions between tectonic forces and surface processes. She specializes in multi-method dating of mineral grains and thermochronologic method development. Current projects include geothermal potential assessment in the Liard Basin (NWT), Cu-porphyry exploration in British Columbia, and rock exhumation studies in Yukon. Recent publications focus on methodological advances in detrital thermochronology, including laser ablation (U-Th-Sm)/He dating, zircon triple-dating, and novel data analysis techniques for complex thermal histories. Scientific Awards: Fellow, Geological Society of America (2022) Outstanding Achievements Award, Faculty of Science, University of Calgary (2023) She teaches courses on global tectonics, structural geology, and field methods, including the Canadian Cordillera Field School.

Jinhan Kimمشاهده پروفایل

پژوهشگر

• Software Engineering
• Mutation Testing
• Fault Localization
• +۴ مورد دیگر

Jinhan Kim is a Postdoctoral Researcher at the Università della Svizzera italiana (USI) in the Faculty of Informatics, working in the TAU lab under Prof. Paolo Tonella. He earned his Ph.D. from KAIST under Prof. Shin Yoo, focusing on software engineering research in mutation testing, fault localization, and deep learning system testing. His work bridges traditional software engineering techniques with AI-driven methodologies, emphasizing AI4SE and SE4AI paradigms. Education: Ph.D. in Software Engineering, KAIST, 2023 Research Interests: Mutation Testing Deep Learning System Testing Autonomous Systems Testing Adversarial Attack Detection Empirical Software Engineering Service and Leadership: Organized SBFT 2026 and DeepTest 2026 (co-located with ICSE 2026) Program Committee Member for ASE, ISSTA, Mutation, and DeMeSSAI Board of Distinguished Reviewers for TOSEM (2024–2025) Labs and Teams: Active contributor to the TAU Lab at USI, focusing on advanced software testing and AI integration.

Daniel A. McAdamsمشاهده پروفایل

استاد

• Design Theory
• Bio-inspired Design
• Product Architecture
• +۳ مورد دیگر

Daniel A. McAdams is the Robert H. Fletcher Professor in Mechanical Engineering at Texas A&M University and serves as the NSF Program Director of Convergent Activities. His research develops design theory and methodology with focus on functional modeling, bio-inspired design, and technology evolution. Educational Background: PhD in Mechanical Engineering from University of Texas at Austin MS in Mechanical Engineering from California Institute of Technology BS in Mechanical Engineering from University of Texas at Austin His research investigates innovation in concept synthesis through computational methods, bio-inspired design approaches, and technology evolution applied to product development. Current projects include function-sharing principles in biological systems, digital twin architectures, and patent mining for technology forecasting. Recent publications explore applications of speculative fiction in design ideation, graph-theoretic approaches for digital twins, and automated assessment in engineering education, demonstrating cross-disciplinary innovation across design science. Awards and Honors: ASME Design Theory and Methodology Award Distinguished Achievement Award for Student Relations Multiple Faculty Fellow awards Design Studies Best Paper Award Outstanding Faculty Mentor Award He leads the Product Synthesis Engineering Lab, advancing design methodologies for complex engineered systems through computational approaches and biological analogies.

Linda J Resnikمشاهده پروفایل

استاد

• Amputees
• Assistive Technology
• Community Reintegration
• +۷ مورد دیگر

Linda J Resnik is a Professor of Health Services, Policy and Practice at Brown University and a Research Career Scientist at the Providence VA Medical Center. She leads the Center for Neurorestoration and Neurotechnology's Focus Area on Restoring Limb Function and directs NIH-funded Learning Health Systems Rehabilitation Resource Network (LeaRRn). Dr. Resnik holds clinical expertise in physical therapy with advanced training from Nova Southeastern University (PhD), Boston University (MS), and Hampshire College (BS). Her postdoctoral fellowship at the Center for Gerontology and Health Care Research furthered her specialization in health services research. Affiliations: Providence VA Medical Center, Brown University's School of Public Health Roles: Director of CoHSTAR, LeaRRn, LeaHD, and CfNN Focus Area Lead Her research focuses on rehabilitation outcomes, advanced prosthetics, and assistive technologies. Key areas include: Prosthetic device usability and adoption Community reintegration of amputees Healthcare quality and learning health systems Publications highlight trends in prosthetics innovation, veterans' healthcare outcomes, and rehabilitation methodologies. Recent work emphasizes sensory-enabled prosthetics, functional outcomes measurement, and telehealth adaptation during pandemics. Awards include the ACRM Elizabeth and Sidney Licht Award (2020), Chattanooga Research Award (2020), and Paul B Magnuson Award (2017). Her training programs emphasize interdisciplinary collaboration and evidence-based practice. Labs/Teams: CoHSTAR, LeaRRn, and CfNN collaborate across engineering, medicine, and policy to advance prosthetic technologies and clinical care pathways.

Deborah Kimمشاهده پروفایل

استادیار

• Econometrics
• Data Science
• Economics

Deborah Kim is an Assistant Professor of Economics at the University of Warwick, specializing in econometrics and data science. She holds a Ph.D. in Economics from Northwestern University, an M.A. in Economics, and a B.S. in Industrial Engineering from Seoul National University. Her research focuses on econometric methodologies, including predictive ability testing and statistical techniques for small-sample cluster analysis. She teaches courses such as EC 349 (Data Science for Economists) and EC 346 (Research Methods in Economics). Her work has been published in Econometric Theory and Journal of Econometric Methods , with a notable contribution to STATA package development for applied econometrics. No scientific awards are explicitly mentioned, and no grants/students are listed in available texts.

Martin Achmusمشاهده پروفایل

استاد

• Geotechnical Engineering
• Offshore Engineering
• Soil Mechanics
• +۳ مورد دیگر

Prof. Dr.-Ing. Martin Achmus is a Professor at Leibniz University Hannover, affiliated with the Faculty of Civil Engineering and Geodetic Science and the Institute for Geotechnical Engineering. He holds multiple leadership roles, including Designated Dean of Civil Engineering and Executive Director of the Institute of Geotechnical Engineering. His research focuses on geotechnical engineering challenges in offshore wind energy, cyclic soil-pile interactions, and foundation design for renewable energy infrastructure. Positions: Designated Dean, Executive Director (Institute of Geotechnical Engineering), Board Member (Testzentrum Tragstrukturen), Exchange Coordinator (Civil Engineering/Computer-Assisted Engineering). Key Projects: Collaborative Research Center (SFB) 'Offshore-Megastructures', DFWind, ProBucket, Ho-Pile, and SEALENCE, focusing on offshore foundations, cyclic loading, and soil-structure interactions. Research Interests: Load-bearing behavior of offshore foundations, soil-pipeline interaction, cyclic loading effects on piles, and geotechnical design methodologies. His work bridges experimental testing (e.g., model tests, particle image velocimetry) and numerical simulations to address challenges in renewable energy infrastructure and geotechnical systems. Publications: Over 150 peer-reviewed articles, emphasizing cyclic soil responses, monopile foundations, suction bucket behavior, and district heating pipeline interactions. Recent work explores novel p-y curve models, capacity degradation under cyclic loading, and scaling approaches for sand behavior. Grants & Collaborations: Funded by DFG, BMWi, and EU initiatives. Collaborates with industry partners on offshore wind turbine foundations and geotechnical innovations. Labs/Teams: Leads research teams within the Institute of Geotechnical Engineering, focusing on experimental and computational geotechnics, with active participation in national and international research networks.

Lili Liuمشاهده پروفایل

استاد

• Dementia Care
• Technology for Aging Populations
• Healthcare Technologies
• +۵ مورد دیگر

Lili Liu is the Dean of the Faculty of Health and a Professor at the University of Waterloo. Her research focuses on leveraging technologies to support older adults and family caregivers, particularly those living with dementia. She leads projects funded by Age-Well NCE, including apps for dementia risk management, usability scales for locating missing persons, and national data strategies. Collaborating with Ryerson University, she develops drone algorithms for locating cognitively impaired individuals. Education: PhD, MSc, and BSc in Rehabilitation Science and Occupational Therapy from McGill University. Research interests emphasize assistive technologies, caregiver support, smart home systems, and mixed-methods approaches. She explores ethical challenges in tech adoption, such as privacy concerns in alert systems and guardianship implications. Recent work includes digital storytelling interventions and frameworks for autonomy and independence in aging populations. Publications span dementia-related wandering, technology acceptance, and fall detection, with a focus on translational research. She advocates for policy changes through initiatives like Alberta’s Bill 210 (Silver Alert system). Current lab activities include the Aging and Innovation Research Program (AIRP), focusing on tech solutions for aging challenges.

Yuko Munakataمشاهده پروفایل

استاد

• Developmental Psychology
• Cognitive Neuroscience
• Executive Functions
• +۵ مورد دیگر

Yuko Munakata is a Professor in the Department of Psychology at the University of California, Davis, and Director of the Cognition in Context Lab. She holds affiliations with the Center for Mind and Brain. Her education includes a PhD in Psychology from Carnegie Mellon University and dual BS/BA degrees in Symbolic Systems and Psychology from Stanford University. Her research integrates behavioral experiments, computational modeling, neuroimaging (ERP/fMRI), and cross-cultural studies to investigate how thinking varies across developmental stages and environmental/social contexts. Core interests include executive functions, developmental trajectories, cognitive control mechanisms, and interventions to enhance adaptive thinking. Her work highlights the role of cultural habits, social influences, and proactive control in shaping decision-making and self-regulation. Recent work explores the impact of environmental predictability on cognitive control development, the link between procrastination in adults/children, and the efficacy of executive function training programs. She advocates for contextual frameworks in understanding individual differences and educational inequality. Awards: American Psychological Association Boyd McCandless Early Career Award Outstanding Mentor Award (UC Boulder) Fellowships in Association for Psychological Science and APA Grants: NIH funding since 1998, supporting studies on child development and executive functions. Labs: Cognition in Context Lab (UC Davis), Center for Mind and Brain collaborations.