جست‌وجوی استاد و پژوهشگر

Ersilia Verlinghieriمشاهده پروفایل

پژوهشگر ارشد

• Transport Governance
• Social and Environmental Justice
• Low-Carbon Mobility Transitions
• +۳ مورد دیگر

Ersilia Verlinghieri is a Senior Research Fellow at the Active Travel Academy, University of Westminster, and a Research Affiliate at the Transport Studies Unit, University of Oxford. Her research focuses on transport governance, social and environmental justice in low-carbon mobility transitions, participatory planning, and participatory methodologies. She leads a NIHR-funded project evaluating Low Traffic Neighbourhoods’ impacts in London and has contributed to over 30 academic publications. Her work spans three core themes: (1) distributive and procedural justice in transport interventions, (2) epistemic justice and decolonizing transport studies, and (3) reimagining transport planning through grassroots movements. She advocates for ethics of care in research and teaching, emphasizing participatory approaches to address ecological and social crises. Ersilia has advised on cargo bike sector labor conditions, transport decarbonization governance, and participatory health impact assessments. She collaborates with initiatives like the Common_Access project and the Car-Free Megacities campaign. Scientific Awards: Associate Fellow of the Higher Education Academy University of Leeds Teaching Award (Merit) Grants & Projects: Leading NIHR-funded mixed-methods study on Low Traffic Neighbourhoods Common_Access Project: https://www.commonaccessproject.com/ Labs/Teams: Active Travel Academy Emerging Territories Research Group Transport and Mobilities Unit

Simon Wiederholdمشاهده پروفایل

استاد

• Labor Economics
• Education Economics
• Behavioral and Experimental Economics
• +۸ مورد دیگر

Simon Wiederhold is Professor of Labor Economics at Martin Luther University Halle-Wittenberg and Senior Research Advisor at the Leibniz Institute for Economic Research Halle (IWH), where he also heads the Research Group on 'Education, Skills and the Labour Market'. He holds additional affiliations as an ifo Research Professor, CESifo Research Fellow, IZA Research Fellow, ROA Research Fellow, and Visiting Fellow at the Hoover Institution, Stanford University. His research lies at the intersection of labor economics, education economics, and behavioral and experimental economics, with a strong focus on understanding and addressing inequalities in education and labor markets. He frequently employs field experiments and survey methods to evaluate policy interventions related to child care access, gender norms, skill formation, and migration. Recent work investigates how information campaigns can reduce polarization in public support for equity policies and how application assistance can close socioeconomic gaps in early child care enrollment. The trends in his recent publications show a consistent emphasis on causal inference, equity, and real-world policy impact. His work spans diverse subfields including maternal labor supply, automation and training, migrant discrimination, and intergenerational skill transmission. He utilizes large-scale datasets and international comparisons to strengthen external validity. Simon Wiederhold is actively engaged in the academic and policy communities, contributing to organizations such as the European Commission and various German foundations. He participates in and organizes major workshops and is involved in mentoring and research networks, including collaborations with leading institutions like Harvard, Stanford, and Duke. Scientific Affiliations: ifo Institute, Munich – Research Professor CESifo – Research Fellow IZA – Research Fellow ROA – Research Fellow Hoover Institution, Stanford – Visiting Fellow He has advised multiple PhD and postdoctoral researchers through collaborative projects, though formal advisee names are not listed in the provided text. He leads a research team focused on rigorous evaluation of social policies using experimental methods. His work is primarily conducted within the Department of Structural Change and Productivity at IWH and the Faculty of Business and Economics at Martin Luther University Halle-Wittenberg. He is involved in large-scale field experiments and policy evaluations, often in collaboration with Henning Hermes, Philipp Lergetporer, and other prominent economists in the education and labor fields.

Robbie Foyمشاهده پروفایل

استاد بالینی

• Implementation research
• Primary Care
• Healthcare Quality Improvement
• +۳ مورد دیگر

Professor Robbie Foy is a Clinical Professor of Primary Care at the University of Leeds’ Leeds Institute of Health Sciences and a practicing general practitioner. His expertise lies in implementation research, focusing on translating evidence into clinical practice and improving healthcare quality. He leads the Division of Primary Care, Palliative Care and Public Health within the School of Medicine. Research Interests: Measuring evidence-based practice uptake through mixed-methods studies Evaluating strategies to change clinical and organizational behavior Optimizing audit and feedback mechanisms for healthcare improvement Interventions targeting frailty, opioid prescribing, and endocrine therapy adherence Key Collaborations: Leeds Unit for Complex Intervention Development (LUCID) Audit and Feedback Metalab National projects like ENACT, PROSPER, and CANAssess Professional Roles: Former Deputy Editor-in-Chief of Implementation Science Member of NICE Implementation Strategy Group (Chair since 2022) NIHR Applied Research Collaborative Yorkshire and Humber Education: MB ChB (University of Edinburgh, 1988) PhD in Health Services Research (University of Edinburgh, 2004)

Samuel V. Norman-Haignereمشاهده پروفایل

استادیار

• Cognitive Computational Neuroscience
• Auditory Neuroscience
• Neural Mechanisms of Hearing
• +۷ مورد دیگر

Samuel V. Norman-Haignere, Ph.D. is an Assistant Professor at the University of Rochester with appointments in the Department of Biostatistics and Computational Biology, Department of Biomedical Engineering, and Department of Neuroscience within the School of Medicine and Dentistry. His research focuses on understanding the neural and computational mechanisms that underlie human hearing, particularly how the brain processes natural sounds like speech and music. Dr. Norman-Haignere received his BA in Cognitive Science from Yale University in 2010 and his Ph.D. in Neuroscience from Massachusetts Institute of Technology in 2015. His doctoral work was conducted under the advisement of Josh McDermott and Nancy Kanwisher. He then completed postdoctoral training at Massachusetts Institute of Technology (2015-2017), École Normale Supérieure (2017-2018), and Columbia University (2018-2021). Dr. Norman-Haignere's research centers on cognitive computational neuroscience, specifically investigating how the human brain perceives and understands natural sounds. His lab, the Computational Neuroscience of Audition Lab, focuses on three main areas: Neural mechanisms of hierarchical temporal integration - studying how the brain integrates information across multiple timescales from milliseconds to minutes Representation of speech and music in non-primary auditory cortex - identifying distinct neural populations that respond selectively to speech, music, and singing Testing computational models of human auditory cortex - developing models that replicate the nonlinear computations of the human auditory system Analysis of Dr. Norman-Haignere's recent publications reveals a consistent focus on auditory neuroscience and computational modeling. His work spans multiple methodologies including fMRI, intracranial recordings, and computational modeling approaches. A key theme across his recent work is temporal integration in auditory processing, with several papers examining how the brain processes information across different time scales. His research also shows strong interdisciplinary connections between neuroscience, computer science, and cognitive psychology. Dr. Norman-Haignere has received several scientific awards including: Poster Award (2019) Poster Award (2015) NSF Graduate Research Fellowship (2010-2015) Dr. Norman-Haignere actively mentors graduate students and postdoctoral scholars in his lab. Current lab members include Postdoctoral Scholar Dana Boebinger, Research Technicians Zehua Kcriss Li and Guoyang Liao, and graduate students Joseph Jaeger (Biomedical Engineering), Pavel Rjabtsenkov (Neuroscience), David Skrill (Statistics), and Xinzhu (Claire) Wang (Statistics). His lab employs a range of methodologies including functional MRI, intracranial recordings from patients, and computational modeling to investigate auditory processing. The Computational Neuroscience of Audition Lab, located at 601 Elmwood Ave, Rochester, NY 14642, maintains active collaborations with animal physiology labs to understand cross-species differences in auditory processing and address questions that cannot be answered using human neuroscience methods alone. A key focus of the lab is developing novel computational and experimental methods to fully exploit various neural recording techniques.

Elisa Marrassoمشاهده پروفایل

پژوهشگر

• Energy Systems
• Renewable Energy
• Geothermal Energy
• +۵ مورد دیگر

Dr. Elisa Marrasso is a Researcher at the Department of Engineering of Università del Sannio , specializing in energy systems and sustainability. Her work focuses on the thermo-economic optimization of energy conversion systems using renewable (solar, geothermal, biomass) and fossil sources, with particular emphasis on microcogeneration , hybrid polygeneration , and Positive Energy Districts . Key research areas: Geothermal systems, Organic Rankine Cycles, District Heating, and Expanded Total Equivalent Warming Impact (ETEWI) metrics Active in renewable energy community modeling, including biomass-based and photovoltaic systems Collaborates with Prof. Carlo Roselli and Prof. Maurizio Sasso on dynamic simulations Scientific Contributions Over 10 years, she has: Published 62+ works in leading journals like Energies and Energy Procedia Developed methodologies for energy poverty mitigation and environmental impact assessment Explored techno-economic feasibility of geothermal plants in Ischia and biomass communities in Northern Italy

• Food Science and Technology
• Biotechnology
• Sustainable Materials
• +۷ مورد دیگر

Joaquim Pedro Costa Silva is a faculty member at Universidade Lusófona, specifically in the School of Sciences and Technologies of Health, where he contributes to research and education in food science and biotechnology. He holds a PhD in Chemistry – Biotechnology and has extensive postgraduate training in innovation, safety, and quality management. PhD in Chemistry – Biotechnology Licenciatura in Applied Chemistry – Biotechnology Postgraduate in Safety and Health Specialization in Management of Creativity, HACCP, TPM, Leadership, Coaching, and Packaging Auditing Scientific training at Oviedo, Alcalá de Henares, John Innes Centre, and Gulbenkian Institute His research interests span food science, biotechnology, cereal genetics, waste valorization, and sustainable materials. He focuses on transforming industrial byproducts—especially brewer’s spent grain—into valuable resources for food, construction, and environmental applications. His work integrates molecular genetics, materials engineering, and circular economy principles. His recent publications highlight a consistent trend in valorizing brewing waste: enhancing food nutrition, developing thermal insulation materials, producing ceramic bricks, and creating biosorbents for wastewater treatment. These works reflect interdisciplinary research bridging food technology, civil engineering, and environmental science, with increasing integration of analytical techniques like FTIR and machine learning for antioxidant analysis. While no formal scientific awards are listed, his contributions are evident through patents and conference leadership. He holds a patent on using brewer’s spent grain as an adsorbent for dyes in aqueous solutions. Patent: Utilização de dreche cervejeira como adsorvente de corantes em soluções aquosas He has advised or collaborated with multiple researchers, though formal student listings are not provided. His work involves grants related to sustainable materials and circular economy, particularly in construction and food sectors. He actively participates in national and international conferences on sustainability and biochemistry. He is involved in research teams focused on circular economy in construction (CIECC), food systems (Portfir), and antioxidant analysis (IECAN). His lab activities include developing cellulose acetate membranes for microplastic removal, analyzing antioxidant effects using chemometrics, and optimizing thermal insulation materials from natural waste.

Mariusz Barczakمشاهده پروفایل

استاد

• Nanoporous Materials
• Surface Chemistry
• Sol-Gel Synthesis
• +۵ مورد دیگر

Prof. Mariusz Barczak is a full professor at the Department of Theoretical Chemistry within the Faculty of Chemistry at Maria Curie-Skłodowska University (UMCS) , where he has worked since 2004. His research focuses on the synthesis and design of nanoporous materials for environmental and biomedical applications. Primary institution: Maria Curie-Skłodowska University (UMCS) Faculty: Faculty of Chemistry Department: Department of Theoretical Chemistry Role: University professor and mentor in the TopMinds program Research Interests : Nanoporous Materials: Synthesis of silica-, titanium-, and carbon-based materials via sol-gel methods for environmental protection. Surface Chemistry: Functionalization of materials for specific applications, including adsorption of heavy metals, pharmaceuticals, and toxic vapors. Biomaterials: Development of natural and supramolecular hydrogels for drug delivery and wound healing. Adsorption Processes: Removal of pollutants like uranium, hexavalent chromium, and dyes using advanced sorbents. Environmental Remediation: Application of carbon textiles and MOFs in water purification and air filtration. Key Trends in Publications: Recent work highlights functionalized nanoporous silicas, carbon-based adsorbents for pharmaceuticals, and stimuli-responsive hydrogels. His articles emphasize experimental-theoretical synergy, scalable synthesis methods, and environmental applications. Mentor in the TopMinds program since 2017 Active in the Top 500 Innovators association, including roles in management (2017-2018) and audit commissions Collaboration with Stanford University for experience in innovation ORCID: 0000-0002-1177-7267 Advising and Outreach: He mentors students through the TopMinds program and promotes interdisciplinary innovation platforms in Poland. Labs and Teams: Involved in the Bionanogel project and the Bionanogel.eu initiative, focusing on hybrid materials for environmental and biomedical uses.

Olga Caraمشاهده پروفایل

دانشیار

• Sociology of Migration
• Ethnicity and Multiculturalism
• Sociological Methodology
• +۶ مورد دیگر

Dr Olga Cara is an Associate Professor in the Sociology of Education at the UCL Institute of Education (IOE), part of the Faculty of Education and Society. She holds a PhD in Sociology from UCL and has over 15 years of experience in sociological research and education. Her work focuses on ethnicity, language, and education systems, with particular emphasis on migrant and ethnic minority communities. She leads the Social Research MRes programme, emphasizing research design and interdisciplinary approaches. Her research explores identity production in educational contexts, family literacy programmes, and ESOL (English for Speakers of Other Languages) outcomes. Notable projects include a Bell Foundation-funded study on EAL (English as an Additional Language) learners in further education and the Family Skills project evaluating literacy initiatives. She has published extensively on topics such as racial microaggressions in teacher education and the impact of family literacy programs. Dr Cara teaches modules on mixed methods research and ethnicity in education, supervising PhD students in sociology and education. She is a Fellow of the Higher Education Academy (2017) and has contributed to policy briefings on education equity and employability for minority groups. Her work aligns with UN Sustainable Development Goals 4 (Quality Education), 3 (Good Health), and 10 (Reduced Inequalities).

Dina Pomeranzمشاهده پروفایل

استادیار

• Public Policy
• Taxation
• Public Procurement
• +۴ مورد دیگر

Prof. Dina Pomeranz is an UBS Foundation Associate Professor of Applied Microeconomics at the University of Zurich's Department of Economics. Her research focuses on public policies in developing countries, particularly taxation, public procurement, firm development, and environmental sustainability. She previously held positions at Harvard Business School and MIT's Poverty Action Lab. Pomeranz's work bridges academia and practice, collaborating with governments, NGOs, and corporations to design evidence-based policies. Her notable projects include studies on tax evasion in Chile and Ecuador, solar energy access in Kenya, and the role of firm networks in tax compliance. She has received prestigious grants like the ERC (2017) and holds affiliations with J-PAL, CEPR, and the International Growth Centre. Pomeranz emphasizes global progress in reducing poverty and advocates for policies that balance economic development with environmental stewardship. Education: PhD in Economics, Harvard University Postdoctoral Fellowship, MIT's Poverty Action Lab Research Interests: Her work addresses taxation challenges in low-income countries, leveraging randomized evaluations to assess policy impacts. She explores how improved tax systems and energy access combat poverty while promoting sustainable development. Awards & Affiliations: ERC Starting Grant (2017) Affiliate, Abdul Latif Jameel Poverty Action Lab (J-PAL) Member, International Institute of Public Finance (IIPF) Policy Engagement: Serves on boards of organizations like Helvetas and Evidence Action, advising Swiss parliament on international cooperation strategies. Her work highlights pragmatic solutions to global inequality through collaborative research.

Carlos Cinelliمشاهده پروفایل

استادیار

• Causal Inference
• Statistics
• Machine Learning
• +۴ مورد دیگر

Carlos Cinelli is an Assistant Professor in the Department of Statistics at the University of Washington. He is also a Data Science Fellow at the eScience Institute and Affiliate Faculty at the Center for Statistics and the Social Sciences. He obtained his Ph.D. in Statistics from the University of California, Los Angeles, where he was advised by Chad Hazlett and Judea Pearl. His research focuses on developing new causal and statistical methods for transparent and robust causal claims in empirical sciences. Key interests include: Causal inference challenges in social and health sciences Intersections of causality with machine learning and AI Sensitivity analysis for omitted variable bias Robust statistical methods for observational studies Instrumental variables and Mendelian randomization Generalizability of experimental findings His publications demonstrate a consistent focus on developing practical sensitivity analysis tools and advancing causal methodology, with recent work emphasizing applications in machine learning and econometrics. Honors include: Best Paper Award at SBE 2024 in Econometrics UCLA Dissertation Year Fellowship (2020) He actively advises PhD students and has received research funding from: NSF/MMS Royalty Research Fund He leads development of several open-source software packages for sensitivity analysis and maintains active collaborations with researchers at UCLA and other institutions.

Jacob William Faberمشاهده پروفایل

دانشیار

• Spatial Inequality
• Racial Inequality
• Housing Policy
• +۵ مورد دیگر

Jacob William Faber is an Associate Professor at New York University's Robert F. Wagner School of Public Service with a joint appointment in the Department of Sociology . He co-founded the Redlining Lab and investigates spatial inequality through observational and experimental methods. PhD in Sociology from New York University Postdoctoral Research Associate at Princeton University Master’s degrees in Telecommunications Policy and Urban Studies and Planning from MIT Bachelor’s in Management Science from MIT His research connects segregation to socioeconomic disparities by analyzing institutional marginalization in housing, finance, and policing. Recent work examines 1930s HOLC maps' legacy in cardiovascular disease risk and flood disaster financial burdens. Scientific awards include the 2021 Michael Harrington Award, 2020 NYU Making a Difference Award, and multiple NYU Wagner EDI Research Prizes. His publications span American Sociological Review , PNAS , and Urban Affairs Review . Key advising includes mentoring student collaborators like Megan D. Bea and Kallista Bley. His work intersects with grants from IPUMS and SASE, while the Redlining Lab coordinates interdisciplinary urban policy research .

Bin Keمشاهده پروفایل

استاد

• Accounting
• Auditing
• Financial Reporting
• +۷ مورد دیگر

Bin Ke is a Professor of Accounting and Provost’s Chair at the National University of Singapore (NUS) Business School since 2015. He holds the prestigious “Chang Jiang Scholar” title from China’s Ministry of Education and the Li Ka Shing Foundation. Previously, he held professorial roles at Pennsylvania State University (2009–2015) and Nanyang Technological University (2010–2015). His research focuses on accounting information’s role in business decisions, with emphasis on earnings management, institutional investors, and investor protection in emerging markets, particularly China. Education: Ph.D. in Accounting, Michigan State University (1999) M.S. in Sciences, Pennsylvania State University (1994) B.A. in Humanities & Social Sciences, Institute of International Relations, China (1989) Research interests include interdisciplinary approaches to complex business problems, such as financial reporting in emerging markets, digital transformation, and the intersection of accounting with machine learning. His work has been published in top journals like The Accounting Review , Journal of Accounting Research , and Journal of Accounting and Economics . Awards include the Chang Jiang Scholar designation. He has served on editorial boards of major journals, including The Accounting Review (2011–2014 as editor) and China Journal of Accounting Research . His labs and teams focus on leveraging technology and data science for accounting innovation, with recent projects involving AI-driven fraud detection and social media analysis in financial decision-making.

Bart Dierynckمشاهده پروفایل

استاد

• Management Accounting
• Organizational Behavior
• Operations Management
• +۳ مورد دیگر

Prof. Bart Dierynck is a Full Professor of Accounting at Tilburg University, affiliated with the Department of Accountancy at the Tilburg School of Economics and Management (TiSEM). His research focuses on interdisciplinary questions at the intersection of management accounting, operations management, organizational behavior, and corporate responsibility. He holds visiting positions at Emory University and INSEAD and currently heads the PhD program in Accounting at Tilburg. His work emphasizes practical relevance, employing experimental and archival methods, and has been published in leading journals. He is an award-winning educator, teaching in MSc, MBA, and executive programs. Research Interests: Management accounting design and implications Behavioral aspects of organizational decision-making Sustainability and corporate responsibility integration Auditor learning processes and professional development Recent Research Trends: His 2024-2025 work explores compensation contracts, auditor learning frameworks, and cost efficiency strategies. Earlier studies address tax disclosures, supply chain accountability, and employee creativity incentives. His 2023 project on audit firm learning underscores workplace learning dynamics. Awards: Best Teacher MSc programs (2021) Teaching Innovation Award (2019) Professional Activities: Leads the PhD program in Accounting at Tilburg and serves on academic committees. His research is supported by grants, including a 2020-2023 project on auditor learning in audit firms. Labs/Teams: Associated with the Tilburg Sustainability Center and the Research Group: Accounting, focusing on multidisciplinary collaboration.

Tirthankar DasGuptaمشاهده پروفایل

استاد

• Experimental Design
• Causal Inference
• Statistical Modeling
• +۴ مورد دیگر

Tirthankar DasGupta serves as Professor and Co-Director of Graduate Studies in the Department of Statistics within Rutgers University's School of Arts and Sciences. Previously an Assistant Professor (2008) and Associate Professor (2012) at Harvard University, he holds leadership roles in statistical methodology development and academic administration. His educational foundation includes: Ph.D. in Industrial Engineering, Georgia Institute of Technology (2003-2007) Master of Technology in Quality, Reliability and Operations Research, Indian Statistical Institute (1991-1993) Master of Statistics in Applied Statistics and Data Analysis, Indian Statistical Institute (1989-1991) Bachelor of Science with Honors in Statistics, University of Calcutta (1986-1989) Professor DasGupta's research centers on experimental design and causal inference with critical applications in nanotechnology and engineering systems. His work develops methodologies for sequential exploration of complex response surfaces, geometric shape error modeling, and quality engineering in additive manufacturing. Recent publications demonstrate sophisticated integration of statistical theory with physical sciences, particularly through deep learning-enhanced parameter optimization for molecular dynamics simulations. His publication trajectory (2020-2025) reveals three dominant themes: (1) causal inference methods for complex experimental structures like split-plot designs and audit experiments; (2) minimum energy designs for response surface exploration with feasibility constraints; and (3) deep learning frameworks for ReaxFF force field parameterization in computational chemistry. These works consistently bridge theoretical statistics with nanotechnology and social science applications. Key recognitions include: Sigma-Xi best doctoral thesis award David Pickard award from Harvard University for teaching excellence He has advised seven doctoral students and secured major funding from NSF divisions (CMMI, DMS, SES) for projects including 'Geometric Shape Error Control for High-Precision Additive Manufacturing' and 'MATDAT18 Type-I: Machine Learning Framework for ReaxFF Optimization'. Current editorial roles include The Journal of the American Statistical Association and Journal of the Royal Statistical Society (Series B), building on prior service at Technometrics and Journal of Quality Technology. His research integrates statistical methodology development with collaborative engineering projects, particularly in nanomaterial synthesis and additive manufacturing quality control through interdisciplinary teams funded by NSF initiatives.

• Audit Evidence
• Technology in Auditing
• Performance Evaluation
• +۲ مورد دیگر

Christy Nielson is an Assistant Professor of Accountancy at the University of Mississippi 's Patterson School of Accountancy . She holds a Ph.D. in Business Administration from the University of Georgia and combines academic expertise with industry experience from Deloitte's Nashville office. B.A. Accounting, University of Mississippi (2010) M.A. Accounting, University of Mississippi (2011) Ph.D. Business Administration, University of Georgia (2019) Her research focuses on audit evidence evaluation , technology integration in auditing , and performance feedback impacts in professional environments. She employs experimental and interview-based methods to study judgment patterns in auditors and accounting managers. Recent publications examine power dynamics in audit evidence selection , fraud detection mechanisms , and private equity influences on audit practices . Her work has been recognized by regulatory bodies and cited in auditing standards. Emerging Scholar Award (Accounting Behavior and Organization), 2022 Nielson serves on doctoral dissertation committees and acts as a faculty senator. Her research has received funding from the Center for Audit Quality , Institute of Management Accountants , and Institute for Fraud Prevention . She teaches IT Audit in the University of Mississippi's master's program.