جستجوی استاد راهنمای دانشگاهی

Assoc. Prof. Zehra Eksi-Altay holds a position at the Institute for Statistics and Mathematics at Vienna University of Economics and Business (WU). Her research focuses on financial mathematics, stochastic modeling, and partial information control problems in finance. She has expertise in credit risk modeling, derivatives pricing, and commodity markets. Eksi-Altay has a PhD in Financial Mathematics (2011) and completed her Habilitation in 2017. She has advised one doctoral thesis and has published extensively in top-tier journals like Quantitative Finance and Journal of Computational and Applied Mathematics . Her work bridges theoretical advancements with practical applications in areas such as regime-switching models, optimal portfolio strategies, and liquidity analysis. Education: BSc, MSc (2005), PhD (2011) Habilitation: 2017 Key Research Themes: Partial Information Models, Stochastic Control, Credit Risk, Algorithmic Trading Her recent work explores regime-switching affine term structures, optimal trading strategies under uncertainty, and dark pool liquidity analysis. Eksi-Altay has received one academic prize, though its specific name is not detailed in the provided text. Her contributions span both theoretical developments and applied finance, often collaborating with institutions like WU’s Institute for Statistics and Mathematics.

• Financial Mathematics
• Stochastic Processes
• Credit Risk Modeling
• +۳ مورد دیگر

Nikolaus Hautsch is a full Professor at the Faculty of Economics, Institute of Statistics and Operations Research. His work focuses on econometrics, finance, and high-frequency data analysis. Research Interests : Market microstructure, volatility modeling, transaction costs, systemic risk, and machine learning applications in finance. Publication Trends (2025–2018): 2025: High-dimensional portfolio optimization, dynamic systemic risk 2024: Blockchain asset arbitrage, DeFi, polarization metrics, jump detection 2023–2022: Microstructural noise, volatility forecasting, neural networks Scientific Awards : Fellow of the Society for Financial Econometrics (2014) Projects : Artificial Intelligence in Rowing (2022–2025) Vienna Graduate School of Finance (2018–2022) Risk management of CCPs

• Econometrics
• Finance
• Market Microstructure
• +۳ مورد دیگر

Prof. Walter Schwaiger is a Full Professor at TU Wien’s Faculty of Mechanical and Industrial Engineering, leading the Institute of Management Science. His academic roles include serving as Head of the Faculty Council since 2010 and holding various curriculum committee positions. He teaches critical courses such as Financial Management, Enterprise Risk Management, and IT-based Management across bachelor’s and master’s programs. His research focuses on three core areas: Financial Enterprise Management (stochastic NPV modeling for renewable energy investments), Enterprise Risk Management (risk maturity assessments via ERMMA studies), and IT-based Management (ontology-driven accounting frameworks like OntoREA). Recent work includes predictive analytics applications in credit risk scoring and pandemic-driven default prediction studies. Prof. Schwaiger has authored influential textbooks like IFRS-Finanzmanagement series and pioneered the REA-based ERP-Control system. He actively contributes to management control research, publishing in venues like Controlling and WingBusiness , and collaborates with institutions like Funk Stiftung on large-scale ERM maturity studies. His professional service includes leading faculty strategy groups and quality management initiatives at TU Wien, reflecting his commitment to institutional governance and academic excellence.

• Financial Enterprise Management
• Enterprise Risk Management
• IT-based Enterprise Management
• +۳ مورد دیگر

Thomas Gehrig is a Professor of Finance at the University of Vienna, affiliated with the Department of Finance within the Faculty of Business, Economics, and Statistics. He holds honorary doctorates and is a Research Fellow at prominent institutions like the Centre for Economic Policy Research (CEPR) and the Systemic Risk Centre (LSE). His research focuses on financial intermediation, banking regulation, market microstructure, and systemic risk, with notable contributions to understanding liquidity provision and ESG impacts on bank resilience. Education: Ph.D. in Economics, London School of Economics (1990) Habilitation, University of Basel (1995) Diplomvolkswirt, University of Bonn (1986) Exchange Programs: UC Berkeley (1984–85), UC Berkeley (1984–85) Research Interests: His work bridges theoretical finance and policy, emphasizing systemic risk, capital regulation, and ethical finance. Recent studies explore the interplay between ESG practices and bank stability, transatlantic banking differences, and historical financial crises like the Panic of 1907. Grants & Awards: FWF and OeNB grants for systemic risk research 2024 Doctor of Science honoris causa (Hanken School) Best Paper Awards in Atlantic Economic Journal and Journal of Financial Stability Professional Contributions: Editor-in-Chief of Schmalenbach Journal of Business Research , former Director of the Vienna Graduate School of Finance (VGSF), and advisor to central banks. He has supervised over 50 doctoral students, many placed in top academic and financial institutions globally. Labs/Initiatives: Leads the Resilience Research Network at the University of Vienna, focusing on geopolitical risks and financial stability. Co-organizes annual conferences on ethical finance and systemic risk.

• Financial Intermediation
• Banking Regulation
• Market Microstructure
• +۶ مورد دیگر

Katrin Rabitsch is an Associate Professor of Economics at Vienna University of Economics and Business (WU Vienna), affiliated with the Department of Economics. Her research focuses on International Macroeconomics/Finance, Quantitative Macroeconomics, Business Cycles, and Monetary Economics. She has published extensively in top journals like European Economic Review , Journal of International Economics , and Macroeconomic Dynamics . Her work explores topics such as monetary policy transmission channels, fiscal multipliers, macroprudential policies, and asset pricing dynamics. Notable recent contributions include analyzing nonlinear inflation dynamics, firm entry costs in asset pricing, and agent-based economic forecasting models. Rabitsch also engages in policy-oriented research, examining the effects of borrower heterogeneity on financial stability and the role of imperfect information in monetary policy design. Her teaching and research are supported by affiliations with institutions like the Department of Economics at WU Vienna. Rabitsch’s methodologies often involve advanced DSGE modeling, VAR analysis, and computational simulations to address complex macroeconomic questions.

• International Macroeconomics
• Finance
• Quantitative Macroeconomics
• +۳ مورد دیگر

Rafael Repullo is a Professor of Economics and Director of CEMFI (since 1987). He has held visiting roles at Columbia University's Graduate School of Business (2007-2008), Princeton University (1984-1985), and was a Lecturer at the London School of Economics (1981-1985). His research focuses on banking regulation, monetary economics, and incentive theory. Key Positions: Director, CEMFI Houblon-Norman Fellow, Bank of England (2000) Economist, Bank of Spain (1985-1987) Research Interests: Repullo's work addresses systemic risk, bank capital regulation, and the interplay between competition and financial stability. He has pioneered frameworks analyzing macroprudential policies and the implications of Basel accords. His earlier contributions include foundational research on Nash implementation in game theory. Awards: Rey Jaime I Prize in Economics (2010) Fellow of the Econometric Society (2002) President of the Spanish Economic Association (2016) Advising & Grants: While specific student names aren't listed, his publications reflect collaboration with co-authors like David Martinez-Miera and Javier Suarez. His work has been supported through institutional affiliations and fellowships. Labs/Teams: Leads research initiatives at CEMFI, focusing on monetary and financial stability issues.

• Banking Theory and Regulation
• Monetary Economics
• Corporate Finance
• +۳ مورد دیگر

David Lando is a Professor of Finance at Copenhagen Business School (CBS) and Director of the Danish National Research Foundation Center of Excellence, FRIC (Center for Financial Frictions). His academic work focuses on credit risk modeling, derivatives markets, and risk management for financial institutions. Education: Master's in Mathematics-Economics, University of Copenhagen PhD in Statistics, Cornell University Research Interests: Credit risk modeling and systemic effects in financial markets Derivatives pricing and term structure theory Portfolio theory and market liquidity dynamics Honors & Grants: Member, Royal Danish Academy of Sciences (2012) Danish National Research Council Grant (2007-2009) Princeton University Teaching Award (2006) Danish Social Science Research Council Fellowship (2000-2002) BSI Gamma Foundation Award (2000) University of Copenhagen Teacher of the Year (1996) Academic Roles: Head of Department, CBS Department of Finance (2009-2012) Visiting Senior Research Scientist, Princeton University (2005-2006) Professor, University of Copenhagen Department of Statistics and Operations Research (2002-2003)

• Credit Risk Modeling
• Risk Management
• Derivatives Markets
• +۲ مورد دیگر

Paul Eisenberg is an Assistant Professor at the Institute for Statistics and Mathematics at Vienna University of Economics and Business. He holds a doctorate in Mathematics and has held positions at the University of Liverpool, Vienna University of Technology, and Technical University of Dortmund. His research focuses on probability theory and financial mathematics, particularly stochastic processes, term structure modeling, and applications to financial markets. He teaches courses in Probability, Quantitative Methods, and Business Mathematics. Research outputs concentrate on stochastic processes in finance, including term structure modeling, stochastic optimization, market microstructure, and applications to cryptocurrency markets. Recent work shows emphasis on regime-switching models and high-dimensional stochastic systems.

• Probability Theory
• Financial Mathematics
• Stochastic Processes

Univ.Prof. Dr. Rüdiger Frey is a Full Professor for Mathematics and Finance at WU Vienna University of Economics and Business, leading the Institute for Statistics and Mathematics. His academic career includes roles at the University of Leipzig and the University of Zurich. He specializes in quantitative risk management, financial mathematics, and stochastic processes. Roles: Head of Institute for Statistics and Mathematics, Vienna Graduate School of Finance (VGSF) member Education: PhD in Financial Economics (University of Bonn, 1996), Diploma in Mathematics (University of Bonn, 1992) Research focuses on financial risk modeling, credit risk, systemic risk, and quantitative methods. Recent work includes applications of deep learning to financial PDEs and systemic risk analysis. He has authored over 60 peer-reviewed publications and edited volumes, including the influential textbook Quantitative Risk Management . His grants include the WWTF Project and collaborations in stochastic filtering and climate risk modeling. Key awards include the WU Best Paper Award (2021) and recognition for his PhD work. He advises doctoral students and actively participates in international conferences, such as the Vienna Congress on Mathematical Finance.

• Probability theory
• Financial mathematics
• Financial management
• +۴ مورد دیگر

Manfred Frühwirth is Associate Professor at the Department of Finance, Accounting and Statistics at Vienna University of Economics and Business (WU Wien) and permanent member of WU Executive Academy faculty. He has held academic leadership roles including Academic Director of Professional MBA programs (2011-2019) and Vice Head of institutes at WU Wien (2004-2005, 2008-2010). As visiting professor, he has taught at Harvard University (2005/2006), Bordeaux Business School (2003-2005), ETH Zurich, Bocconi University, and other institutions across Europe and USA. His research focuses on Bond Pricing (yield computation, duration, credit risk), Corporate Finance (capital structure, real options, equity tax shields), Accounting (tax strategies, earnings management), and Behavioral Finance (prospect theory, cognitive biases, weather/mood effects on markets). Recent publications explore behavioral corporate finance, investor biases, and psychological market dynamics. Stephan Koren Prize for best Ph.D. thesis (2000) Capital Market Award for Research (2009) Multiple teaching awards from WU Wien (2009, 2011, 2014, 2018) He has consulted in Austria and Switzerland on business valuation and commodity price modeling, while maintaining editorial roles (Investment Management and Financial Innovations) and reviewing activities for journals/conferences. His teaching spans fixed income valuation, financial management, and behavioral finance across international programs including CEMS, JOSZEF, and GEWINN magazine's behavioral finance series (2018-present).

• Behavioral Finance
• Corporate Finance
• Bond Pricing
• +۴ مورد دیگر

Ewald Aschauer is a University Professor and Head of the Department of Corporate Accounting and Auditing at Vienna University of Economics and Business (WU Wien). With a publication record spanning from 2006 to 2025, he has established himself as a leading scholar in accounting and auditing fields, with particular expertise in business valuation, sustainability reporting, and corporate governance. Professor Aschauer's research focuses on the intersection of accounting practices with regulatory frameworks, especially within the Austrian and European contexts. His work addresses critical issues in corporate accounting, financial reporting standards, audit practices, and the evolving landscape of business valuation methodologies. He has made significant contributions to understanding how sustainability considerations are being integrated into financial reporting and assurance practices, particularly in anticipation of EU regulatory changes. An analysis of Professor Aschauer's recent publications (2023-2025) reveals a strong emphasis on the implementation of sustainability reporting standards, digital transformation in audit processes, and the challenges of business valuation in changing economic conditions. His work increasingly examines the integration of ESG factors into financial decision-making and the practical implications of regulatory changes for corporate practice. There is also a consistent focus on Austrian economic indicators and their relevance for corporate strategy and valuation. As Department Head, Professor Aschauer oversees a substantial academic team with numerous faculty members and researchers. He teaches courses including Accounting and Taxation, Annual Financial Statement Audit, and Sustainability Reporting Standards, reflecting his dual focus on traditional accounting practices and emerging sustainability requirements. His department appears to be actively engaged in both theoretical research and practical applications of accounting standards.

• Accounting
• Auditing
• Corporate Governance
• +۷ مورد دیگر

Nadia Chamoun, MD, is a Postdoctoral Research Fellow in the Division of Cardiology at the University of Washington , working within the CardSS Lab. She earned her medical degree from the University of Balamand in Lebanon and completed a 12-credit online Scholars in Health Research Program (SHARP) at AUBMC, focusing on clinical and translational research. Her career path includes research roles at the American University of Beirut’s structural heart program, Tulane University’s EP team, and the Atrial Fibrillation Program under Dr. Nazem Akoum. Research Focus: Computational modeling of cardiac arrhythmias, machine learning in atrial fibrillation (AFib), epicardial adipose tissue (EAT) dynamics, and ablation therapy outcomes. Labs: University of Washington’s CardSS Lab. Recent publications highlight her work on machine learning applications to predict AFib recurrence, EAT-fibrosis interactions, and advanced simulation frameworks for cardiac electrophysiology. Her research bridges clinical observations with computational insights to improve arrhythmia treatment strategies. Personal interests include piano, hiking, and culinary exploration.

• Cardiology
• Cardiac Electrophysiology
• Atrial Fibrillation
• +۴ مورد دیگر

Jean-Marie Baland is a Professor of Economics at the University of Namur (FUNDP), Belgium, and holds a distinguished academic career spanning over three decades. He has held visiting positions at Harvard University, Boston University, and institutions in Kenya, France, and Norway. His primary affiliation is with the Department of Economics at FUNDP, where he has served as Professor since 2003, following roles as Associate Professor (1999–2003) and Assistant Professor (1992–1999). Baland’s research focuses on Development Economics, Environmental Economics, and Political Economy, with notable contributions to resource management, credit markets, and institutional design in developing economies. His academic leadership includes roles as an associate editor for journals such as the Review of Development Economics and Journal of Development Economics . He is a core member of the THRED network and a Research Fellow at the CEPR. Baland has received prestigious awards, including the European Research Council Advanced Grant (2009–2014) and the Distinguished Fellow Award from Harvard’s Institute for Quantitative Social Sciences. His work integrates theoretical models with empirical analysis, addressing topics like land reform, child labor, and informal financial systems in contexts ranging from Chile to Cameroon. Baland’s research has been supported by grants from the National Fund for Scientific Research (Belgium) and the MacArthur Foundation. He actively contributes to development policy through networks like BREAD and the European Union Development Network (EUDN). His publications span high-impact journals and edited volumes, emphasizing practical applications of economic theory to real-world development challenges.

• Development Economics
• Environmental Economics
• Political Economy
• +۳ مورد دیگر

Lisa Perkhofer is a Researcher at the University of Applied Sciences Upper Austria’s Department of Accounting, Controlling and Financial Management, part of the R&D-Headquarters. She actively contributes to projects focusing on digital transformation, ICT integration, and financial management innovation. Education: PhD in Information Systems (2021), Vienna University of Economics and Business (2014–2021) Master’s in Controlling, Accounting and Finance (2013), University of Applied Sciences Upper Austria (2011–2013) Her research interests revolve around optimizing data visualization for managerial decision-making, leveraging big data and eye-tracking technologies. She explores how cognitive load theory can enhance financial reporting systems, user-centered design principles in interactive dashboards, and sustainability reporting complexity reduction. Her work bridges financial management practices with advanced IT solutions. In her research outputs, Lisa emphasizes digital transformation in financial processes, RPA applications, and SME risk assessment. She combines technical innovations like dashboard design with practical financial management challenges, highlighting trends toward user-centric and data-driven solutions. She has received notable awards including the Best Paper Award (2016) , Dr. Hermann Zemlicka Award (2018) , and the KPMG Stiftungspreis für die beste Masterarbeit im Finanzbereich (2013) . Additionally, she was honored with the Emerald Most Commended Research Award (2015) . Advising and Grants: Contributed to four major research projects as Co-Principal Investigator (CoPI) or Co-Investigator (CoI) Funded projects include FTI-Strukturförderung, COIN Cooperation & Innovation, and Land OÖ Basisfinanzierung Labs/Teams: Involved in interdisciplinary teams such as FinCoM (Financial Condition Monitoring), USIVIS (User-Centered Interactive Visualization for Big Data), and BF-Smart Visualization 4.0, collaborating on topics ranging from dashboard design to SME risk analysis.

• Financial Management
• Managerial Accounting
• Information Systems
• +۵ مورد دیگر

Christian Wagner is a Professor of Finance at WU Vienna University of Economics and Business, with affiliations at the Vienna Graduate School of Finance (VGSF) and as a Research Fellow at the Centre for Economic Policy Research (CEPR). He holds a PhD in Finance, Banking, and Insurance and has extensive experience in academic research and policy analysis. University: WU Vienna School: Faculty of Business and Economics Department: Department of Finance, Accounting and Statistics His research focuses on empirical asset pricing, investments, international finance, and monetary policy. Notable works include studies on central bank communication effects, disaster resilience in asset markets, and sovereign risk dynamics. He has published in top journals like the Journal of Finance and Journal of Financial Economics. Key awards include the Jack Treynor Prize (2015) and Dimensional Fund Advisors Distinguished Paper Award (2019). His research has been featured in VoxEU and presented at major conferences.

• Empirical Asset Pricing
• Investments
• International Finance
• +۳ مورد دیگر