جست‌وجوی استاد و پژوهشگر

Gabriele Contessaمشاهده پروفایل

دانشیار

• Social Epistemology
• Philosophy of Science
• Philosophy of Economics
• +۱ مورد دیگر

Gabriele Contessa serves as Associate Professor in the Department of Philosophy within Carleton University's Faculty of Arts and Social Sciences. His academic profile centers on interdisciplinary research bridging epistemology, scientific practice, and socioeconomic theory, with significant contributions to understanding public trust in science and methodological challenges in economics. His educational trajectory includes a Laurea from Universita' di Roma "La Sapienza", followed by an M.Sc. and Ph.D. from the London School of Economics (LSE), establishing foundations for his dual focus on analytical philosophy and economic methodology. Contessa's research program exhibits three converging strands: (1) Social epistemology investigations into how collective cognitive structures sustain scientific credibility, particularly regarding public trust mechanisms and expert networks; (2) Philosophy of economics analyses of value-laden judgments in macroeconomic modeling, especially concerning inductive risk and policy impacts; (3) Metaphysical examinations of dispositional properties and mereological structures. His recent publications reveal intensifying engagement with science-society interfaces, notably through frameworks like the "science contract" concept. His publication pattern shows consistent output in premier philosophy journals including Synthese , Mind , and Erkenntnis , with increasing emphasis on socially embedded epistemology since 2020. The thematic evolution from technical metaphysics toward institutional epistemology reflects broader disciplinary shifts in philosophy of science. Contessa maintains active teaching responsibilities including Introduction to Philosophy of Science and Truth and Propaganda, courses examining scientific methodology and truth-claims in public discourse. His virtual office hours (Wednesdays 1:35–2:25 PM) facilitate student engagement within Carleton's philosophy community.

M. Kate Bundorfمشاهده پروفایل

استاد

• Health Policy
• Health Economics
• Health Insurance Markets
• +۴ مورد دیگر

M. Kate Bundorf is the J. Alexander McMahon Distinguished Professor of Health Policy and Management at Duke University and a Professor in the Sanford School of Public Policy and Population Health Sciences . She serves as Faculty Director of Research at the Sanford School and is a Core Faculty Member at the Duke-Margolis Institute for Health Policy . Education: Ph.D. in Business and Public Policy, University of Pennsylvania (1999) M.B.A. and M.P.H., University of California, Berkeley (1994) B.A. in Economics and Psychology, University of Michigan, Ann Arbor (1989) Her research examines health policy , healthcare economics , and consumer decision-making in insurance markets. Key areas include Medicaid expansion , telehealth reimbursement , healthcare cost variability , and digital health tools . Recent work analyzes COVID-19 risk perceptions , Medicaid spending , and prescription cost-sharing for chronic conditions. Scientific awards include the 13th Annual Health Care Research Award (2007) and a Fulbright Lecturer appointment at Fudan School of Public Health (2009-2010). She has secured major grants from the NIH , Agency for Health Care Research and Quality , and Robert Wood Johnson Foundation , focusing on prostate cancer outcomes , Medicare Advantage , and healthcare system transformation during the pandemic.

• Law and Technology
• Financial Regulation
• Digital Finance
• +۳ مورد دیگر

Nikita Divissenko serves as Assistant Professor in the Department of International and European Law at Utrecht University's Faculty of Law, Economics and Governance. He coordinates the Master's Programme 'Law and Technology in Europe' and co-teaches 'Law of Market Technologies', bridging legal scholarship with digital finance innovation. His academic credentials include a 2022 PhD from the European University Institute (EUI), complemented by dual LLM degrees in International, European and Comparative Law (EUI) and European Law from Leiden University (cum laude). Prior to Utrecht, he worked as a research associate at the Florence School of Banking & Finance. Divissenko's research centers on regulatory adaptation to disruptive technologies , with expertise spanning Law and Technology , Digital Finance , and Market-State-Society Interactions . His work critically examines demand-side regulatory frameworks for fintech innovations including crypto-assets, open banking, and BNPL services within EU legal structures. This scholarship employs empirical and comparative methodologies to assess regulatory effectiveness across financial sectors. Analysis of his 2020-2025 publications reveals a cohesive trajectory toward future-proof regulatory paradigms that balance innovation with consumer protection. Key themes include demand-conscious regulation, financial integration challenges, and the evolving role of state-market relationships in digital finance. His research demonstrates increasing influence through citations in crypto-asset regulation (5 citations) and significant Mendeley readership (20+). As an active member of the RENFORCE research group on EU Internal Market Law Regulation and Enforcement, Divissenko contributes to collaborative projects on financial integration while shaping next-generation legal education through his Master's program leadership.

Pierre Picardمشاهده پروفایل

استاد

• Insurance Economics
• Risk Management
• Incentive Contracts
• +۴ مورد دیگر

Pierre Picard is a Professor of Economics at École Polytechnique , where he is also a member of the Haut Collège . He holds a PhD in Economics and is a graduate of HEC-Paris. His academic career includes leadership roles such as President of the Risk Theory Society (2005) and President of the European Group of Insurance Economists (EGRIE) (2009). Education: PhD in Economics, HEC-Paris Affiliations: CREST, Risk Theory Society, EGRIE His research focuses on insurance economics , risk management , and contract theory , with applications to catastrophic risks, health insurance, and parametric insurance. Recent publications analyze pandemic business interruption insurance, nuclear liability insurance, and optimal health insurance under ex post moral hazard. Key trends in his work include modeling insurance markets with adverse selection, designing parametric insurance for technology adoption in developing countries, and exploring the role of policy dividends in market equilibrium. He has co-authored multiple papers with A. Louaas, J.-M. Bourgeon, and J. Pinquet. Scientific Awards and Leadership: Junior member, Institut Universitaire de France (1991-1996) President, Risk Theory Society (2005) President, European Group of Insurance Economists (2009) Co-Editor, Annals of Economics and Statistics (past) Co-Editor, Geneva Risk and Insurance Review (past) At École Polytechnique, he teaches courses in Corporate Finance , Microeconomics , and General Insurance at the Master’s level. He also instructs on Topics in Insurance Economics at ENSAE’s Engineering Cycle program.

• Corporate Finance
• International Finance
• Small Business Finance
• +۵ مورد دیگر

Atreya Chakraborty is a Professor of Finance and the Director of the PhD Program & Academic Partnerships at the College of Management, University of Massachusetts Boston. His expertise spans corporate finance, international finance, small-business finance, risk management, executive compensation, and corporate governance. Education PhD, Boston College Research Focus Chakraborty’s research centers on how corporate governance mechanisms influence firm risk and performance, how executive compensation structures affect managerial risk-taking, and how corporate social responsibility initiatives interact with litigation and financial outcomes. He employs rigorous econometric techniques and large-scale data analysis, often integrating EVA (Economic Value Added) style metrics to evaluate investment strategies and firm value creation. Recent Scholarly Contributions Over the past five years his work has pivoted toward ESG-aware investing, the impact of COVID-19 on CSR disclosures, and the use of EVA frameworks to guide active portfolio management. These studies collectively highlight the importance of non-financial factors—such as governance quality and social responsibility—in explaining cross-sectional variation in stock returns and litigation risk. Honors & Awards College of Management Research Fellow (2007–2008) Dean’s Award for Distinguished Research (2005–2006) Betty Diener Award for Teaching Excellence (2006) Sloan Foundation Award (1998) Professional Service He serves on the Editorial Board of The Journal of Entrepreneurial Finance and has been instrumental in directing the PhD program, fostering academic partnerships, and mentoring doctoral students in empirical finance and governance research.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +۳ مورد دیگر

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

Aleksey Zaytsevمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Predictive Modeling
• +۴ مورد دیگر

Aleksey Zaytsev is a Senior Lecturer at Skoltech, where he leads the Applied Research Laboratory «Skoltech-Sberbank» at the Center for Applied Artificial Intelligence. He holds a PhD in Physics and Mathematics and is a laureate of the Moscow Government Prize for Young Scientists. Education: PhD in Physics and Mathematics His research focuses on artificial intelligence, particularly on developing predictive models for geospatial analysis, drilling safety, and aerospace engineering. He has created practical AI solutions for drought prediction, accident prevention, and aircraft quality monitoring. His work also emphasizes model reliability and safe deployment in industrial contexts. The recent studies highlighted his contributions to neural network accuracy in banking applications, algorithmic hesitation for improved decision-making, and geospatial data optimization. These works demonstrate interdisciplinary applications of AI in environmental, financial, and engineering domains. Scientific Awards: Moscow Government Prize for Young Scientists As head of the Artificial Intelligence Center's applied research lab, Zaytsev bridges academic research with industry needs, particularly in AI safety and real-world implementations. He also engages in public education through lectures like 'How to Deceive Artificial Intelligence' at the Yeltsin Center, addressing AI vulnerabilities and security implications.

• Biostatistics
• Health Services Research
• Epidemiology
• +۷ مورد دیگر

Hassan Fouayzi, PhD, MS, MEng is an Assistant Professor in the Division of Biostatistics and Health Services Research, Department of Population and Quantitative Health Sciences, and a Senior Biostatistician in the Division of Health Systems Science, Department of Medicine, at the University of Massachusetts Chan Medical School. His academic appointments span both the Department of Population and Quantitative Health Sciences and the Department of Medicine within the T.H. Chan School of Medicine. Dr. Fouayzi earned his MS in Resource Economics from the University of Massachusetts Amherst and his PhD in Clinical & Population Health from the University of Massachusetts Medical School. His educational background has prepared him for his current role focusing on quantitative health research methodology and application. Dr. Fouayzi possesses extensive expertise in large data management and analysis, statistical computing, advanced statistical methods, risk adjustment/predictive modeling, epidemiology, and econometrics/health economics. His research spans multiple critical areas including health care services, health policy, cancer research, chronic illness management, pharmacoepidemiology, and drug safety. A significant portion of his work focuses on incorporating social determinants of health into global payments to ensure health quality, equity, and efficiency in health care financing and delivery, as part of Dr. Arlene Ash's UMass Chan research team. His publication record demonstrates strong engagement with contemporary health issues, particularly evident in his numerous studies related to the COVID-19 pandemic, vaccine hesitancy, hospital readmissions, nursing home care quality, and cardiovascular disease risk prediction. These works collectively address critical questions in health services research through rigorous methodological approaches and large-scale data analysis. Multiple publications on vaccine hesitancy and acceptance during the pandemic Research on high-frequency hospital users and readmissions Studies examining cancer screening patterns during public health emergencies Work on incorporating social determinants into payment models Dr. Fouayzi serves as a technical liaison in multi-site research collaborations funded by major national organizations including the National Cancer Institute, the Agency for Healthcare Research and Quality, CDC, and FDA. His research has been widely disseminated through numerous peer-reviewed publications and has garnered significant attention in both academic and policy circles, as evidenced by substantial citation metrics and media coverage across multiple platforms. Through his work, Dr. Fouayzi contributes significantly to advancing health services research methodology while addressing practical challenges in healthcare delivery, payment reform, and health equity. His research directly informs efforts to improve healthcare quality, reduce disparities, and develop more effective healthcare financing models.

Julian Lossمشاهده پروفایل

استاد

• Cryptography
• Distributed Computing
• Provable Security
• +۳ مورد دیگر

Dr. Julian Loss is a tenured faculty member at the CISPA Helmholtz Center for Information Security since 2021, focusing on cryptography and its interplay with distributed computing . He previously held postdoctoral positions at the University of Maryland (2019-2021) and Carnegie Mellon University (2021), and worked as a researcher at the blockchain company Spacemesh (2018-2021). Education : PhD in Mathematics from Ruhr University Bochum (2019) His research explores provable security , with emphasis on digital signature schemes , distributed consensus algorithms , and cryptographic protocol design . Recent publications address topics like kryptographic attacks , Byzantine agreement efficiency , and privacy analysis in cryptocurrencies . He has received the ERC Starting Grant (2023) and DFG Grant (2022) . His work is primarily published in top venues including PKC , CCS , EUROCRYPT , and IEEE S&P .

Alessio Koliulisمشاهده پروفایل

مدرس

• Urban governance
• Economic strategies
• Night-time economies
• +۸ مورد دیگر

Alessio Kolioulis serves as a Lecturer (Teaching) in Urban Economic Development at the Bartlett Development Planning Unit (DPU), University College London . A globally recognized leader in night-time economies and cultural policy, he has led the MSc Urban Economic Development program since 2018 while bridging academic research with municipal collaborations through organizations like the Greater London Authority and C40 Cities. PhD in Aesthetics and Urban Planning (Paris 8 University, 2018) MA in Social Anthropology of Development (SOAS, 2012) BSc in Development Economics (University of Florence, 2010) His research intersects urban governance with economic strategies , focusing on night studies and its implications for climate action. Recent publications explore integrating night-time economies into climate science (Nature Climate Change, 2024), co-production frameworks (Fairville Labs, 2024), and postfordist urban transitions (2023). Key projects include editing the forthcoming Routledge Handbook of Night-Time Economies . Scientific awards highlight his educational contributions: Associate Fellow, Higher Education Academy (2019) Fellow, Higher Education Academy (2025) Professional roles extend to Economist at VibeLab (since 2020) and Head of Night-Time Research at Autonomy Institute (since 2021). Multilingual (Greek, Italian, English, Spanish, French, Portuguese), he contributes to European, African, and Middle Eastern socio-economic studies.

Lise Justesenمشاهده پروفایل

دانشیار

• Digitalization
• Invisible Work
• Artificial Intelligence
• +۴ مورد دیگر

Lise Justesen is an Associate Professor at the Department of Organization, Copenhagen Business School . She holds a PhD from CBS and a Master's in Philosophy from the University of Copenhagen. Her research focuses on digitalization , invisible work , and the interplay between accounting and organizing , grounded in Actor-Network Theory and qualitative methods . Co-author of Digitalization and Invisible Work (2025), a critical examination of unforeseen consequences of AI implementation in public sector organizations Supervisor for PhD candidates across CBS departments and the Vienna University of Economics Collaborator with Ursula Plesner on Visibility Management and Digitalization in Public Sector projects Their work reveals recurring themes: digitalization's hidden labor demands , algorithmic accountability challenges , and managerial adaptation to AI systems . They analyze these through ethnographic studies of public sector transformations and critical assessments of predictive algorithms in governance. Justesen's scientific contributions examine how digital systems create new accountability frameworks and redefine professional roles . Their research demonstrates that digitalization produces unanticipated labor patterns , reconfigures human-machine relationships , and generates complex valuation practices in organizational contexts.

Xuan-Thao Nguyenمشاهده پروفایل

استاد

• Asian Law
• Banking Law
• Business and Corporate Law
• +۱۶ مورد دیگر

Professor Xuan-Thao Nguyen is the Pendleton Miller Chair in Law and Director of the Asian Law Center at the University of Washington School of Law. She specializes in Intellectual Property , Corporate Governance , Technology Law , and Banking , with a focus on Cryptocurrency , Law and Technology , and E-Commerce . Her work bridges legal frameworks with innovation economics. Her research explores IP Taxation as a tool for economic growth, Blockchain applications in corporate law, and Global Tech Competition between China and the U.S. She has advised on high-profile cases involving Trademark Disputes (e.g., Starbucks vs. Starbucks Workers United) and Trade Secrets (Group14 litigation). Recent publications analyze AI Copyright Class Actions (2025), Crypto Losses (2024), and Tech Bankruptcy trends. Her book Silicon Valley Bank: The Rise and Fall of a Community Bank for Tech (2024) provides a critical case study of tech finance. She actively engages in international policy discussions, including Vietnam Data Protection (2024), U.S.-Vietnam Economic Ties (2024), and Metaverse Regulation . She leads UW's Entrepreneurship and Law Speaker Series and collaborates with institutions across Southeast Asia and the U.S.

Tahir M. Nisarمشاهده پروفایل

استاد

• Crowdfunding
• Artificial Intelligence (AI)
• Automation
• +۶ مورد دیگر

Professor Tahir M. Nisar serves as Professor of Strategy and Economic Organization and Behaviour at the University of Southampton's Southampton Business School . His research focuses on Artificial Intelligence , Automation , Crowdfunding , and Organizational Dynamics , with applications in Insurance, Financial Services, and Health (NHS). Current research includes AI-driven workplace gamification (KTP project with Execview), ESRC-funded AI applications in service sectors, and Alan Turing Institute collaborations on AI's impact on work. Teaching areas: Organization & Management, Entrepreneurship, Strategy & Behavior, Human Resource Management. Editorial roles: Associate Editor for Management Decision , editorial board member for European Journal of Marketing . Scientific recognition: Stanford 2% Global Scientist , multiple journal awards, and Whitehall Fellowship. His work bridges technical AI implementation with human-centric organizational design, emphasizing sustainable practices and productivity enhancement through data analytics.

• Astronomy
• Astrophysics
• Machine Learning
• +۵ مورد دیگر

Robert Brunner serves as Professor of Astronomy at the University of Illinois at Urbana-Champaign, where he bridges astrophysical research with computational innovation. His work focuses on extracting knowledge from massive astronomical datasets through advanced statistical and machine learning techniques, while also extending methodologies to finance and agricultural applications. Research interests center on developing machine learning algorithms (random forests, deep neural networks, Bayesian estimation) for astronomical data analysis, cosmological parameter constraints via n-point clustering measurements, and hardware acceleration using GPUs/cloud systems. His interdisciplinary approach spans source classification, transient phenomena detection in surveys like SDSS and DES, and applications in financial time-series analysis and agricultural remote sensing. Recent publications (2019-2025) reveal strong cross-domain expertise: astronomical catalogs for Rubin Observatory and Spitzer surveys coexist with financial market analysis using community detection methods and agricultural computer vision systems. Key methodological threads include spatio-temporal forecasting, multimodal learning for earnings calls, and anomaly detection via extended isolation forests, demonstrating consistent innovation in handling petascale datasets across scientific boundaries.

• Optimal Transport
• Martingale Theory
• Mathematical Finance
• +۳ مورد دیگر

Mathias Beiglböck is a full Professor at the Department of Mathematics within the Faculty of Mathematics at the University of Vienna. His research spans multiple areas of mathematical analysis with a strong focus on probability theory and its applications to finance and other fields. With over 60 publications spanning from 2009 to 2024, Beiglböck has established himself as a leading researcher in his field. Beiglböck's primary research interests center around optimal transport theory, martingale theory, and their applications to mathematical finance. His work explores the deep connections between probability theory and financial mathematics, particularly in areas such as option pricing, risk management, and stochastic processes. His research also extends to epidemiological modeling, as evidenced by his contributions to SARS-CoV-2 research during the pandemic. Analysis of his recent publications (2022-2024) reveals a strong focus on advancing the theoretical foundations of optimal transport and martingale theory while finding novel applications in finance and data science. His work often bridges pure mathematical theory with practical applications, particularly in financial modeling and risk assessment. The high citation counts across his publications (some exceeding 100 citations) indicate significant impact in his field. Beiglböck has collaborated extensively with researchers across Europe, particularly with scholars from France, Austria, and the UK. His work on the COVID-19 pandemic demonstrates his ability to apply mathematical expertise to pressing real-world problems, contributing to public health policy through rigorous quantitative analysis.