جست‌وجوی استاد و پژوهشگر

Catia Pesquitaمشاهده پروفایل

دانشیار

• Semantic Web
• Biomedical Ontologies
• Knowledge Graphs
• +۷ مورد دیگر

Catia Pesquita is an Associate Professor in Computer Science at the Faculty of Sciences of the University of Lisbon , where she is also a Senior Researcher at LASIGE and leads the Health and Biomedical Informatics Research Line . With a multidisciplinary background in Biology and Computer Science, she focuses on Artificial Intelligence and Data Science applications in life and health sciences . Her research spans Semantic Web , Biomedical Ontologies , Knowledge Graphs , and Explainable AI , with significant contributions to ontology matching and semantic similarity . Education: PhD in Computer Science - Bioinformatics (2012) MSc in Bioinformatics (2008) Degree in Cell Biology and Biotechnology (2005) Current Projects: KATY (2021-2024): AI-Empowered Personalized Medicine for cancer treatments. BRAINTEASER (2021-2024): AI for ALS and MS disease progression models. Research Outputs: Developed tools like AgreementMakerLight (AML) , KGsim-benchmark , and the Epidemiology Ontology . Over 133 publications with significant citations (32,909 reads, 3,889 citations). Teaching: Lectures advanced topics in Databases , Data Integration , Bioinformatics , and Big Data . Advocacy: Vice-president of Biodata.pt , promoting biological data valorization in Portugal. Actively involved in initiatives to promote computer science careers to young women .

• Accounting & Financial Management
• Theoretical Models in Equity Valuation
• Empirical Analysis of Accounting Information
• +۶ مورد دیگر

Colin Clubb is Professor of Accounting and Financial Management at King’s Business School, King’s College London, where he is a member of the Accounting, Accountability, and Financial Management research group. He has previously held academic positions as Reader in Accounting at Imperial College London and Professor of Accounting at the University of Warwick from 2004 to 2009. His educational background includes: BA (Econ) in Accounting and Business Finance from the University of Manchester MSc in Accounting and Finance from the London School of Economics (LSE) PhD in Accounting from Imperial College London Professor Clubb's research focuses on theoretical models of accounting information in equity valuation and empirical analysis of accounting use in capital markets. He has a broad interest in financial statement analysis and the socio-economic context of accounting. His work explores topics such as earnings volatility, payout policy, classification shifting, and the value relevance of accounting metrics. He has developed and extended frameworks such as the Ohlson (1995) valuation model, contributing to both theoretical and applied accounting research. His recent publications show a consistent trend toward integrating structural accounting models with capital market outcomes, particularly in estimating expected returns, payout policy, and income classification. His research bridges theory and empirical validation, often using UK and international data. He has published in top journals including Review of Accounting Studies , Abacus , and Journal of Business Finance & Accounting . While no specific scientific awards are listed in the provided texts, his work has been cited over 385 times, indicating significant academic impact. He has supervised research students and contributed to academic discourse through editorial roles, including editing the Blackwell Encyclopedia of Management Accounting . His collaborations include scholars such as Michael Walker, Dimitris Christodoulou, and Stephen McLeay. He is actively engaged in research and has no indication of retirement or part-time status. Professor Clubb is based at the Strand Campus in London and contributes to both research and teaching in financial accounting and valuation.

Michelle Borkinمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Visual Analytics
• +۵ مورد دیگر

Michelle Borkin is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University’s Boston campus, where she co-leads the Visualization @ Khoury Lab and co-directs the Northeastern Visualization Consortium (NUVis). She additionally serves as Affiliated Faculty with the NULab for Text, Maps, and Networks and with the Information Design & Data Visualization Program in the College of Arts, Media, and Design. Education PhD, Applied Physics, Harvard University School of Engineering and Applied Sciences (2014) MS, Applied Physics, Harvard University BS, Astronomy & Astrophysics and Physics, Harvard University Research Interests Borkin’s research integrates data visualization and human-computer interaction to create novel techniques that enable discovery across disciplines. Her work spans: Multidimensional brushing-and-linking methodologies 3D data visualization and selection techniques Tree and network visualization Visualization evaluation methodologies and perception/cognition theory Accessibility and visualization for social good Medical and astrophysical visualization applications Publication Trends Across more than 50 peer-reviewed papers, Borkin’s research exhibits three dominant threads: (1) foundational studies on visualization perception and memorability, (2) design and evaluation of novel interactive tools for complex data (medical, astronomical, political, and social media), and (3) methodological contributions such as the Design Study “Lite” Methodology that accelerate visualization pedagogy and community-engaged research. Awards & Honors CHI 2020 Best Paper Award IEEE VIS 2020 Best Poster Honorable Mention IEEE VIS 2018 Best Poster Award NSF Graduate Research Fellowship NDSEG Graduate Fellowship TED Fellow Advising & Grants Borkin currently advises five PhD students—Jane Adams, Mackenzie Creamer, Franc O, Aditeya Pandey, and Laura South—and has previously mentored Michail Schwab and Uzma Haque Syeda. Her research has been supported by NSF, NDSEG, and TED fellowships, as well as internal Northeastern awards. Labs & Teams Co-Lead, Visualization @ Khoury Lab Co-Director & Co-Founder, Northeastern Visualization Consortium (NUVis) Affiliated Faculty, NULab for Text, Maps, and Networks Affiliated Faculty, Information Design & Data Visualization Program, CAMD

Halvor Mehlumمشاهده پروفایل

استاد

• Macroeconomics
• Development Economics
• Economics of Conflict
• +۱ مورد دیگر

Halvor Mehlum is a Professor in the Department of Economics at the University of Oslo, specializing in macroeconomics, development economics, economics of conflict, and crime . He has held academic positions since 1994, including Research Fellow (1994–1998), Researcher at the Frisch Centre (1999–2002), and Associate Professor (2002–2006) before becoming a full Professor in 2006. He also serves as Deputy Head of the Department of Economics (2016–present) and Deputy Leader of the Centre of Equality, Social Organization, and Performance (ESOP). Education: Cand. oecon (1992), Dr. polit (1999) from the University of Oslo; Visiting Scholar at the New School of Social Research (1996). Research Focus: Macroeconomics with applications to conflict dynamics, crime, development, and political economy. Recent articles explore topics like social capital, land redistribution, crime-protection dynamics, and pandemic economics. Leadership Roles: Board member at the Frisch Centre, Center for Development and Environment (SUM), and Executive Committee of the European Development Research Network (EUDN). Co-editor of the Nordic Journal of Political Economy.

Wei Luمشاهده پروفایل

استادیار

• Digital Marketing
• Empirical Industrial Organization
• Platform Economics
• +۳ مورد دیگر

Wei Lu is an Assistant Professor at the Zicklin School of Business, Baruch College, City University of New York (CUNY), specializing in the Allen G. Aaronson Department of Marketing & International Business. His academic work bridges digital marketing, empirical industrial organization, and platform economics. Education: PhD in Marketing, University of Toronto MEcon in Economic Theory and Econometrics, Toulouse School of Economics BBus in Business, Victoria University (Melbourne) BEc in Economics, Central University of Finance and Economics (Beijing) Research Interests: Digital marketing strategies Platform economics and competition Consumer behavior in digital environments Empirical analysis of industrial organization AI-driven marketing insights Microtransaction dynamics Article Trends: His recent work explores large language model alignment, judicial polarization, and platform economics. Google Scholar articles (2023-2025) focus on digital product diffusion, gaming economics, and rating biases in online transaction platforms.

• Corporate capital structure
• Machine learning methods in finance
• Corporate finance
• +۳ مورد دیگر

Murray Z Frank is a Professor in the Department of Finance at the University of Minnesota's Carlson School of Management , specializing in corporate capital structure and machine learning applications in finance. He holds a PhD in Economics from Queens University (1985) and has served as a leading academic voice in finance through editorial roles and international seminar contributions. Education: PhD (1985), MA (1981) in Economics from University of Alberta, BSc (1978) in Zoology from University of Alberta His research focuses on corporate capital structure optimization, taxation impacts on corporate decisions, and financial market responses to systemic shocks. He co-founded the Virtual Corporate Finance Wednesdays seminar series in 2020 to maintain scholarly collaboration during the pandemic. Scientific honors include: President of Midwest Finance Association (2017-2018) Senior editorial roles at top-tier journals Co-founder of international virtual finance seminars

Christian Harteisمشاهده پروفایل

استاد

• Digitalization of the workplace
• Workplace learning
• Epistemic beliefs
• +۴ مورد دیگر

Christian Harteis is a Professor at the Institute of Educational Science within the Faculty of Cultural Studies at Paderborn University. His research focuses on workplace learning, digitalization of the workplace, epistemic beliefs, learning from errors, intuition as a component of professional expertise, and competence-fostering work conditions. Contact: christian.harteis@uni-paderborn.de | Office: TP6.2.306 Research Projects: FEWL (Horizon Europe), BBNE-Hubs, AI literacy in research, Chess experiments with eye-tracking Research Trends: Recent work emphasizes digital labor dynamics, dual training systems, continuing education for educators, and methodological approaches to workplace learning. Publications span empirical studies, book chapters, and edited volumes like Research Approaches on Workplace Learning (Springer, 2022). Teaching & Collaboration: Leads courses on empirical educational research, vocational education structures, and evaluation methods. Active in international networks such as PDRnet and EARLI SIG14, with leadership roles in professional associations like AERA and Deutsche Gesellschaft für Erziehungswissenschaft (DGfE).

• Financial Econometrics
• Statistics
• Empirical Asset Pricing
• +۵ مورد دیگر

Dacheng Xiu is the Joseph Sondheimer Professor of Econometrics and Statistics at the Booth School of Business , University of Chicago, and an Affiliated Faculty in the Department of Statistics. He serves as a Research Associate at the National Bureau of Economic Research and holds editorial roles at journals like Journal of Business & Economic Statistics and Journal of Financial Econometrics . PhD and MA in Applied Mathematics from Princeton University BS in Mathematics from University of Science and Technology of China His research focuses on statistical methodologies for financial data , including risk measurement , portfolio management , and empirical asset pricing using high-frequency data and machine learning . Recent work analyzes text data and large language models for economic forecasting. Editorial leadership includes Co-Editor and Associate Editor roles at top journals like Journal of Finance and Annals of Statistics . His lab ( Risk Lab ) specializes in systemic risk assessment through transaction-level data analysis. 2024 Dimensional Fund Advisors Prize 2023 GSU-RFS FinTech Conference Best Paper Award 2022 Society for Financial Econometrics Fellow 2018 Swiss Finance Institute Outstanding Paper Award

Michael Robertsمشاهده پروفایل

استاد

• Corporate Finance
• Banking
• Investments
• +۶ مورد دیگر

Michael Roberts is the William H. Lawrence Professor and Professor of Finance at the Wharton School of the University of Pennsylvania. He serves as a Research Associate at the National Bureau of Economic Research and is affiliated with the Institute for Law and Economics and the Wharton Financial Institutions Center. His academic career spans teaching roles at UC Berkeley, Duke University, and Wharton, with a focus on corporate finance, banking, investments, and financial education. Education: B.A. in Economics, University of California, San Diego M.S. in Statistics, University of California, Berkeley Ph.D. in Economics, University of California, Berkeley Roberts's research bridges corporate finance, banking, and investments, with recent emphasis on AI and machine learning in financial decision-making. His work on financial contracts, capital structure, and payout policies has significantly advanced empirical finance. He has authored influential studies on debt covenants, credit supply effects, and financial literacy. His publications demonstrate expertise in empirical corporate finance , debt structuring , financial econometrics , and financial education . Key topics include collateralized loan obligations , interest rate impacts on contracts , and capital structure persistence . These works reflect his commitment to integrating rigorous methodology with practical financial challenges. Scientific Recognition: Jensen Prize (2016) Marshall E. Blume Prize (2015) Brattle Prize nominations (2008, 2005) Multiple teaching awards at Wharton and Duke Geewax, Terker, and Co. Prize (2010, 2006) As an educator, Roberts has taught undergraduates, MBAs, PhDs, and executives for over 25 years. He founded the Wharton Financial Analytics initiative and the Financial Proficiency Initiative (FPI), which provides financial education to high school students. His courses include Corporate Finance , Data Science for Finance , and Empirical Methods in Corporate Finance .

Jane Bjørn Vedelمشاهده پروفایل

دانشیار

• Large-scale philanthropy and organizational and societal change
• Organizational adaptation in dynamic environments
• Management of innovation in interorganizational relationships
• +۳ مورد دیگر

Jane Bjørn Vedel is an Associate Professor at the Department of Organization, Copenhagen Business School, and a member of the Center for Organizational Research on Impact (CORI). Her research explores the organizational and societal effects of large-scale donations to research, dynamic capabilities in interorganizational relationships, and the role of time and temporality in innovation management. Her recent work investigates how transformative innovation policy reshapes universities’ organizational structures and how spatial scale influences institutional processes. She has secured significant funding (1.72M EUR) as a Principal Investigator and collaborates with institutions like Stanford University. Key Research Themes: Organizational adaptation to financial shifts Temporal tensions in dynamic capabilities Interorganizational collaboration in mission-oriented research Isomorphic differences in science policy Micro-foundations of resource integration Her publications appear in top journals like Research Policy and Journal of Management Studies , with recent articles focusing on resilience in goal-complex environments and ethical disruptions in organizations. She has mentored PhD candidates and postdocs, including Vera Simoneit and Søren Lund Frandsen.

• Self-Adaptive Software Systems
• Dynamic Software Product Lines
• Software Reuse
• +۴ مورد دیگر

Nadeem Abbas is a Senior Lecturer at the Department of Computer Science and Media Technology, Faculty of Technology, Linnaeus University, Sweden. He earned his PhD in Computer and Information Science from Linnaeus University and has been working with software systems since 2001. His primary research interests include Self-Adaptive Software Systems, Dynamic Software Product Lines, Software Reuse, Requirements Engineering, Software Architecture and Design, and Architectural Analysis and Reasoning. He is actively involved in multiple research groups including: AdaptWise - focusing on foundations and engineering of self-adaptive software systems Engineering Resilient Systems (EReS) Research Lab - investigating system resilience Smart Industry Group (SIG) - an interdisciplinary group focusing on production and product innovation His recent publications show a strong trend in self-adaptive systems with expansion into health inequality research and environmental monitoring applications. His work bridges theoretical software engineering with practical industrial applications, particularly evident in his survey of industry practices in self-adaptation. Nadeem teaches several courses including: 1DV532 - Starting Out with Java 1DV533 - Structured programming with C++ 1DV534 - Object-Oriented Programming with C++ 2DV600 - Foundations of Software Technology 4DV610 - Adaptive Software Systems 2DV604 - Software Architectures 1DV607 - Object-Oriented Analysis and Design using UML He currently supervises multiple research projects related to self-adaptive systems, architectural analysis tools, and health inequality mitigation through digital solutions. His research portfolio demonstrates strong connections between academic research and practical industry applications, particularly in software architecture and adaptation techniques.

• Machine Learning
• Datasets
• Reliable Generalization
• +۵ مورد دیگر

Ludwig Schmidt is an Assistant Professor in the Computer Science Department at Stanford University and a member of Stanford Data Science. He also serves as a member of the technical staff at Anthropic and LAION, contributing to both academic and industrial research in machine learning. Dr. Schmidt completed his PhD at MIT, where he received the prestigious George M. Sprowls Award for best PhD theses in computer science, followed by a postdoctoral position at UC Berkeley. His educational background provides a strong foundation for his research at the intersection of theoretical and applied machine learning. Dr. Schmidt's research focuses on the empirical foundations of machine learning, with particular emphasis on datasets, reliable generalization, multimodality, and language models. His work addresses critical challenges in ensuring machine learning models perform consistently across different domains and data distributions. His research group has made significant contributions to open source machine learning through projects like OpenCLIP, DCLM, and the LAION-5B dataset, which have become important resources for the machine learning community. An analysis of Dr. Schmidt's recent publications reveals a strong focus on dataset quality, multimodal learning, and language model training. His work spans from fundamental research on generalization and robustness to practical applications in vision-language systems and tabular data. A recurring theme is the importance of high-quality, diverse datasets for training robust machine learning models, with several papers addressing dataset curation, evaluation methodologies, and the impact of data quality on model performance. New Horizons Award at EAAMO Best paper awards at ICML & NeurIPS Best paper finalist at CVPR Sprowls dissertation award from MIT (George M. Sprowls Award) Dr. Schmidt actively mentors doctoral students and postdoctoral researchers. His current advisees include doctoral candidates Liangyu Chen, Shiye Su, Elaine Sui, Audrey Xie, John Yang, Yuhui Zhang, and Wanjia Zhao. He serves as Doctoral Dissertation Reader for Kyle Hsu and Aishwarya Mandyam, and as Postdoctoral Faculty Sponsor for Benjamin Feuer and Mike Merrill. His research has attracted significant funding that supports these students and enables his group to contribute to open source projects like OpenCLIP and LAION-5B. Dr. Schmidt leads a research group focused on empirical machine learning foundations. The group actively contributes to open source machine learning through code repositories and datasets, including OpenCLIP, OpenFlamingo, LAION-5B, and the DataComp datasets. Their work bridges theoretical insights with practical applications, developing tools and resources that advance the entire machine learning community.

Joseph Lewisمشاهده پروفایل

پژوهشگر ارشد

• Computational Archaeology
• Geographic Data Science
• Spatial Modelling
• +۴ مورد دیگر

Joseph Lewis is a Research Associate at the McDonald Institute for Archaeological Research within the Department of Archaeology at the University of Cambridge. He completed his PhD in Archaeology at Cambridge (2020-2024) following an MSc in Geographical Information Science with Distinction from the University of Leicester and a BSc in Applied Geology from the University of Plymouth. Dr. Lewis specializes in Computational Archaeology, with research interests spanning Geographic Data Science, Spatial Modeling, Spatial Uncertainty, and Bayesian Data Analysis. His work focuses on developing quantitative methods for analyzing archaeological landscapes through spatial statistics and computational approaches to understanding ancient movement and connectivity across Britain, Europe, and the Mediterranean. His publication record demonstrates expertise in Roman road networks, least cost path analysis, and uncertainty quantification in archaeological modeling. Lewis has developed innovative methodological approaches that combine spatial statistics with archaeological theory to better understand past human movement patterns and landscape use, with particular focus on Roman Britain and Mediterranean connectivity. Scientific Awards: Open-Oxford-Cambridge AHRC DTP - Judy and Nigel Weiss Studentships at Robinson College Match-funded Studentship Vice-Chancellor's & King's College Scholarship (now Honorary) CASA Prize for best paper on Spatial Analysis - GISRUK 2018 2nd Prize GISCRG Dissertation Prize 2017 Royal Institution of Chartered Surveyors Prize 2017 - Best Dissertation 2016 Lewis is the author and creator of the R package 'leastcostpath,' which provides tools for calculating Least Cost Paths and networks while incorporating barriers and uncertainty through probabilistic modeling. His technical proficiency spans R, Python, QGIS, ArcGIS, and SQL, enabling sophisticated spatial analyses of archaeological data across multiple periods and geographical regions.

Linda A. Reinenمشاهده پروفایل

استاد

• Structural Geology
• Rock Mechanics
• Earthquake Mechanics
• +۸ مورد دیگر

Linda A. Reinen is Professor of Geology at Pomona College, where she has been a faculty member since 1995. She is currently on leave for Fall 2025. Her work bridges structural geology, rock mechanics, and earthquake science, with a focus on fault system behavior and earthquake initiation processes. Education: Ph.D., Brown University M.S., University of Massachusetts B.S., University of Massachusetts Her research centers on understanding how tectonic slip is accommodated on faults—either through earthquakes or stable creep—with a particular focus on serpentinite, a key rock in fault zones. She combines numerical modeling , laboratory friction experiments , and field studies to investigate the physical processes behind earthquake generation. Her recent work, supported by an NSF grant, explores serpentinite’s role in deep-focus earthquakes within subducting plates. The trends in her publications reflect a long-standing commitment to fault mechanics and rock friction , particularly in serpentinite-rich environments. Her work spans seismology , tectonics , and geohazards , with applications to major faults like the San Andreas. She employs both theoretical models (e.g., spring-slider systems) and empirical data to understand slip styles, precursory signals, and aseismic behavior. Scientific Awards and Honors: Geological Society of America, Biggs Award for Excellence in Earth Science Teaching (2003) Invited Speaker, International Symposium on Slip and Flow Processes, Sendai, Japan (2001) Counselor, Council on Undergraduate Research, Geology Division (1999–present) Steering Committee Member, Physical Properties of Earth Materials (AGU) (1998–2001) Linda Reinen is deeply committed to undergraduate research education , regularly supervising independent research and senior projects. She has taught courses such as Structural Geology, Tectonics, and Geohazards. Her grant funding, including from the NSF, supports experimental and modeling work on fault processes. She plays an active role in professional service and mentoring within the geoscience education and research communities. She leads a research program integrating computational, experimental, and field-based approaches, often involving undergraduate collaborators. Her lab and research team focus on rock friction testing and numerical simulation of fault behavior, contributing to broader understanding of earthquake hazards and fault zone evolution.

Tahera Ebrahimiمشاهده پروفایل

مدرس ارشد

• Corporate Finance
• Empirical Finance
• Capital Structure
• +۵ مورد دیگر

Dr Tahera Ebrahimi serves as a Senior Lecturer in Finance within the Business School at Manchester Metropolitan University, bringing extensive prior experience from lecturing roles at Huddersfield University and Birmingham City University. Her academic profile centers on empirical corporate finance with significant contributions to understanding capital structure dynamics, management behavioral traits, and financial distress phenomena. Her educational foundation includes: Ph.D. in Finance, University of Hull M.Sc. in Finance, University of Hull Dr Ebrahimi's research program investigates critical corporate finance domains including capital structure determination, managerial influence on financial policies, bankruptcy prediction, and earnings manipulation practices. She has expanded into Islamic finance through rigorous analysis of Shariah compliance disclosure mechanisms and their governance implications, while her interdisciplinary work applies spatial analytics to public health challenges like COVID-19 outcome disparities. This reflects her capacity to bridge finance with broader socioeconomic contexts through empirical methodologies. Analysis of her 2018-2025 publications reveals consistent focus on corporate finance themes including zero-leverage policies and CEO behavioral impacts, with notable 2024 output in Islamic finance literature and cross-country governance studies. Her interdisciplinary 2024 publication in SSM - Population Health demonstrates methodological versatility through geospatial analysis of pandemic health inequalities, indicating expanding research horizons beyond traditional finance boundaries. No scientific awards or honors were documented in the provided materials. As a postgraduate supervisor, Dr Ebrahimi mentors students in Corporate Finance, Corporate Governance, and Earnings Management, aligning with her research expertise. While specific research grants aren't enumerated, her publication trajectory suggests active engagement in funded empirical projects, particularly in corporate finance and Islamic finance domains where she has established significant scholarly contributions.