جست‌وجوی استاد و پژوهشگر

• Corporate Finance
• Venture Capital
• Private Equity
• +۶ مورد دیگر

Associate Professor Mark Humphery-Jenner is a distinguished faculty member at the University of New South Wales (UNSW) Business School, specifically within the School of Banking and Finance. With an exceptional academic pedigree including multiple PhDs from prestigious institutions worldwide, he has established himself as a leading researcher at the intersection of finance, law, and corporate governance. Dr. Humphery-Jenner's educational background demonstrates remarkable breadth and depth, featuring PhDs from UNSW, Tilburg University, and Leiden University, along with master's degrees from Columbia University and the University of Washington. His undergraduate achievements include a BCom with First Class Honours and University Medal, and an LLB with First Class Honours, both from UNSW. This multidisciplinary foundation spanning business, law, and finance informs his comprehensive research approach. His research spans corporate finance, venture capital, and law, with particular focus on how legal frameworks shape financial decision-making and corporate behavior. Humphery-Jenner has published extensively in top-tier finance journals including the Journal of Financial Economics, Journal of Financial and Quantitative Analysis, Review of Finance, and Journal of Corporate Finance, as well as leading management journals such as Strategic Management Journal and Journal of International Business Studies. His scholarly contributions address critical issues in executive compensation, securities litigation, corporate governance, and private equity markets. Analysis of his recent publications reveals a sophisticated research trajectory increasingly focused on the relationship between litigation risk and financial reporting practices, corporate governance mechanisms, and investor protection frameworks. His work demonstrates particular attention to Australian regulatory contexts while maintaining a strong international comparative perspective, especially regarding Asian capital markets and cross-border investment. With substantial industry experience including work in investment banking and consulting for hedge funds, Humphery-Jenner brings practical insights to his academic work. He has been teaching in various capacities since 2006 and has served as an assistant professor in finance since 2012, contributing significantly to business education at UNSW. His professional background enhances his ability to bridge theoretical research with real-world financial practice.

Alexandre RUBESAMمشاهده پروفایل

دانشیار

• Finance
• Asset Pricing
• Financial Econometrics
• +۵ مورد دیگر

Alexandre RUBESAM is an Associate Professor at IÉSEG School of Management (France), specializing in Finance with a focus on asset pricing, financial econometrics, and quantitative trading. He holds a Ph.D. in Finance from Cass Business School (UK), an MSc in Statistics from the State University of Campinas (Brazil), and a Bachelor in Statistics from the same university. Education: Ph.D., Finance, Cass Business School, UK (2008) MSc., Statistics, State University of Campinas, Brazil (2004) Bachelor, Statistics, State University of Campinas, Brazil (2001) His research interests span behavioral finance, risk management, machine learning applications in finance, and portfolio optimization. Notably, he explores topics like market herding during crises, volatility forecasting, and the low-beta anomaly through behavioral lenses. Prof. Rubesam has authored influential papers on information transmission in financial markets, risk parity strategies, and the efficacy of linear models in volatility prediction. His work bridges theoretical finance with practical applications, such as developing machine learning-based portfolio construction methods for emerging markets. Awards: 2007 Dimitris N. Chorafas Foundation Prize 2006 Best Paper Award, Cass Business School His professional roles include Chief Risk Officer at Itaú-Unibanco (2013–2017) and Quantitative Researcher/Trader at Principia Capital Management (2009–2011). He is a member of LEM (Laboratory of Economics and Management) and teaches courses on financial programming, risk management, and portfolio analysis.

Meng Liمشاهده پروفایل

استاد

• Human-Centered AI
• Managerial Behavior
• Human-Algorithm Interaction
• +۵ مورد دیگر

Meng Li is a Professor and the Endowed C. T. Bauer Chair of AI at the C. T. Bauer College of Business, University of Houston. He also serves as the founding Director of the Bauer Human-Centered AI Institute and the SCM PhD coordinator, highlighting his leadership in AI and operations research. His research centers on human-centered AI , managerial behavior , and human-algorithm interaction , with applications in supply chain management, operations, and strategic decision-making. His work explores cognitive biases, behavioral operations, and the integration of AI in business contexts. The 15 most recent publications demonstrate a consistent focus on behavioral aspects of operations management, particularly overconfidence, regret, and trust in AI systems. The research spans journals such as Management Science , Production and Operations Management , and Strategic Management Journal , indicating interdisciplinary impact across operations, strategy, and information systems. Scientific Awards and Honors: The President’s Circle Awards, University of Houston, 2025 Energy Transition Institute Award ($62.5K), 2024 John Aure Buesseler Distinguished Lectureship, Texas Tech, 2024 Shell Sustainability Research Grant ($100K), 2022 Management Science Distinguished Service Award, 2022 Rutgers Research Council Award, 2020 Finalist for INFORMS Best Service Science Paper Award, 2019 Meng Li advises PhD students as SCM PhD coordinator and leads major research initiatives through the Bauer Human-Centered AI Institute . His work is supported by grants from Shell, HPE, and NIST. He serves as Department Editor for Journal of Operations Management and Decision Sciences Journal , and Senior Editor for Production and Operations Management , and has guest-edited AI-focused special issues in top journals. He is actively building interdisciplinary teams at the intersection of AI, operations, and behavioral science, fostering collaborations across business, engineering, and health domains.

Ernst Maugمشاهده پروفایل

استاد

• Corporate Finance
• Corporate Governance
• Executive Compensation
• +۳ مورد دیگر

Ernst Maug, Ph.D. is Professor of Corporate Finance at the University of Mannheim Business School, where he has held a faculty position since February 2006. He has served in significant leadership roles including Associate Dean for Research and director of the business school's doctoral programs. Maug currently holds the position of President of the European Finance Association, reflecting his standing in the academic finance community. Professor Maug's research program focuses on corporate finance with particular emphasis on corporate governance mechanisms. His work examines the interface between financial markets and labor markets, executive compensation structures, shareholder voting behavior, and the role of institutional blockholders. His research demonstrates a consistent interest in understanding how governance structures affect firm performance and decision-making processes. The analysis of Professor Maug's recent publications reveals a strong focus on shareholder democracy, executive compensation design, and the intersection of labor markets with corporate governance. His work frequently appears in the top finance journals including the Journal of Finance, Journal of Financial Economics, and Review of Financial Studies, indicating the high quality and impact of his research contributions. Professor Maug has served in significant academic leadership positions, directing doctoral programs and contributing to research strategy as Associate Dean for Research at the University of Mannheim Business School. His service as President of the European Finance Association further demonstrates his influence in shaping the direction of finance research across Europe.

Vincent Fortuinمشاهده پروفایل

استادیار

• Bayesian Deep Learning
• Uncertainty Quantification
• Probabilistic Inference
• +۵ مورد دیگر

Dr. Vincent Fortuin is a tenure-track Assistant Professor at the Technical University of Munich (TUM) and a research group leader at Helmholtz AI in Munich. He leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group and holds multiple prestigious fellowships including the Branco Weiss Fellowship. His academic affiliations include the TUM School of Computation, Information and Technology, the Konrad Zuse School of Excellence in Reliable AI, and the Munich Center for Machine Learning. Dr. Fortuin earned his BSc in Molecular Life Sciences from the University of Hamburg (2012-2015), followed by an MSc in Computational Biology and Bioinformatics from ETH Zürich (2015-2017), where he received the ETH Excellence Scholarship and the Willi Studer Prize. He completed his PhD in Machine Learning at ETH Zürich (2017-2021) under the supervision of Gunnar Rätsch and Andreas Krause, supported by a Swiss Data Science Center PhD Fellowship. Prior to joining TUM, he was a Research Fellow at St. John's College, University of Cambridge (2022-2023). His research focuses on the intersection of Bayesian statistics and deep learning, specifically developing methods for more robust, data-efficient AI systems with reliable uncertainty estimates. His work addresses critical limitations in standard deep learning approaches, particularly their tendency to be overconfident in predictions and require large datasets for training. He investigates better priors and more efficient inference techniques for Bayesian deep learning, deep generative modeling, meta-learning, and PAC-Bayesian theory, with applications in scientific and biomedical domains. Dr. Fortuin's recent publications demonstrate a consistent focus on improving uncertainty quantification in deep learning systems, with increasing emphasis on practical applications in scientific contexts. His work spans from theoretical foundations of Bayesian deep learning to practical implementations in protein design, materials science, and medical applications. A notable trend is his exploration of how to make Bayesian methods more scalable and applicable to modern large-scale AI systems while maintaining theoretical guarantees. Branco Weiss Fellowship (2023) St John's College Research Fellowship (2022) Swiss National Science Foundation Postdoc.Mobility Fellowship (2022) Swiss Data Science Center PhD Fellowship (2018) ETH Excellence Scholarship (2015) Willi Studer Award (2018) Dr. Fortuin actively supervises PhD and Master's students through his ELPIS research group at Helmholtz AI. He serves as a regular reviewer and area chair for major machine learning conferences and is an action editor for TMLR. He co-organizes the Symposium on Advances in Approximate Bayesian Inference (AABI) and the ICBINB initiative, demonstrating his commitment to advancing the field through community building. His research group receives funding from multiple sources including Helmholtz AI, the Branco Weiss Fellowship, and collaborations with international institutions. Dr. Fortuin leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group at Helmholtz AI, which focuses on fundamental machine learning research motivated by real-world scientific problems. The group collaborates extensively with researchers across Helmholtz centers and international institutions, particularly in biomedical applications where reliable uncertainty estimates are crucial.

Khaled Hussaineyمشاهده پروفایل

استاد

• Corporate Narrative Reporting
• XBRL
• Corporate Governance
• +۷ مورد دیگر

Professor Khaled Hussainey is a Professor of Accounting at Bangor Business School, appointed in April 2024. He previously held academic roles at Portsmouth, Plymouth, Stirling, Manchester, and Ain Shams Universities. With over 25 years of teaching experience, his research focuses on corporate narrative reporting, XBRL, and sustainability. He has published over 200 peer-reviewed articles and secured grants from ESRC, Qatar National Research Foundation, and others. His qualifications include a Ph.D. in Accounting & Finance from the University of Manchester (2004), an M.Sc. from the University of Birmingham (2000), and a B.Com. from Ain Shams University (1994). He has supervised 56 PhD and 7 DBA theses. Research interests include corporate governance, earnings management, Islamic accounting, and big data. He serves as Co-Editor of the Journal of Financial Reporting and Accounting and Editor of the International Journal of Emerging Markets . His work has been recognized in Stanford University's Top 2% Researchers list (2023). Grants include £60,000 from ESRC (2005), $120,000 from Qatar NFR (2014), and £48,412 from the British Council (2019). He has held visiting professorships at King Khalid University, Tunis University, and others. He actively participates in international conferences and serves as an external assessor for promotions and research funds globally. His recent articles address sustainability reporting, FinTech disclosure, and climate governance. He emphasizes interdisciplinary research linking accounting practices with technological and environmental trends.

Elena Pikulinaمشاهده پروفایل

استادیار

• Institutional investors
• Corporate finance
• Experimental and behavioral finance

Elena Pikulina is an Assistant Professor in the Finance Division at the UBC Sauder School of Business, affiliated with The University of British Columbia. She holds an M.Phil and PhD from Tilburg University. Her research focuses on institutional investors, corporate finance, and behavioral finance, with a particular emphasis on integrating experimental methodologies to study decision-making processes in corporate and financial contexts. She teaches courses such as Mergers and Acquisitions. Education: M.Phil, Tilburg University PhD, Tilburg University Research Interests: Institutional investors Corporate finance Experimental and behavioral finance Her publications explore topics such as income inequality’s impact on equity markets, power preferences in decision-making, the behavioral effects of confidence and overconfidence on corporate strategies, and incentive structures like bonus schemes. While no scientific awards are explicitly listed, her work demonstrates contributions to behavioral and corporate finance. Advising & Grants: No students or grants are listed in the provided materials. Labs/Teams: No specific labs or research teams are mentioned.

• Decision Making
• Negotiation
• Ethics
• +۳ مورد دیگر

Max H. Bazerman is the Jesse Isidor Straus Professor of Business Administration at Harvard Business School. His work bridges behavioral economics, decision making, and ethics, with a focus on organizational behavior and negotiation strategies. He has authored influential books such as Complicit , Decision Leadership , and The Power of Experiments , emphasizing ethical frameworks and practical decision-making tools. His research explores bounded awareness, ethical blind spots, and how individuals and organizations make suboptimal choices. Recent articles highlight applications of experiments in data-driven decision making, moral psychology in resource allocation, and strategies to mitigate complicity in unethical behavior. Bazerman has received numerous accolades, including an honorary doctorate from the University of London, the Aspen Institute's Life Achievement Award, and recognition as one of Ethisphere's 100 Most Influential in Business Ethics. He has collaborated with global institutions and advised leaders across 30 countries.

Kaitlyn Zhouمشاهده پروفایل

استادیار

• Natural Language Processing
• Human-Computer Interaction
• Artificial Intelligence Ethics
• +۴ مورد دیگر

Dr. Kaitlyn Zhou is an incoming Assistant Professor in the Department of Information Science at Cornell University's Bowers College of Computing and Information Science, commencing August 2026. Her research focuses on human-language model interaction dynamics, with recognition at premier NLP and HCI conferences. Education: PhD in Computer Science, Stanford University (Advised by Dan Jurafsky) B.Sc., B.Se., M.S. in Computer Science and Human Centered Design and Engineering, University of Washington Research Focus: Her work investigates how language models shape human decision-making through three pillars: (1) identifying model overconfidence risks, (2) developing context-aware evaluation frameworks, and (3) reimagining interactions for marginalized user groups. This spans NLP, HCI, and AI ethics with emphasis on trust calibration and inclusive design. Publication Trends: Recent work examines human reliance on unreliable language models (NAACL 2025 Best Paper Runner-Up), uncertainty expression failures (ACL 2024), and evaluation metric limitations. Collectively, these advance responsible AI through human-centered methodologies across 12 major publications from 2017-2025. Scientific Awards: NAACL Best Paper Runner-Up (2025) MIT EECS Rising Star (2024) Stanford Graduate Fellowship College of Engineering Dean's Medal School of Engineering Dean's Medal of Excellence (UW) Advising & Grants: Supported by Stanford Graduate Fellowship and research internships at Microsoft Research FATE (hosted by Olteanu/Blodgett) and Allen Institute for AI (hosted by Sap/Hwang/Ren). Will recruit NLP/HCI students at Cornell starting 2026. Appointed by Washington Governor to UW Board of Regents, advocating for educational equity. Research Ecosystem: Collaborates with Stanford's NLP group, Microsoft's FATE team, and Allen Institute researchers. Features in NYT/WSJ for methods impacting real-world AI deployment.

• Behavioral Finance
• Corporate Finance
• Financial Technology
• +۶ مورد دیگر

Arman Eshraghi is a Professor of Finance and Investment at Cardiff Business School , with 15 years of academic and industry experience. He founded the Cardiff Fintech Research Group , leads the Digital Transformation Innovation Institute 's fintech theme, and co-directs the Behavioral Finance Working Group . He serves as Editor-in-Chief of International Review of Economics and Finance and Senior Editor in multiple journals. Key academic appointments: Cardiff University (2018–present), University of Edinburgh (2013–18) International fellowships: Development Bank of Japan, University of Canterbury (New Zealand), UCL Industry engagement: Federal Reserve Bank (NY), Alan Turing Institute, CFA Society UK, CityUK Research Focus: Behavioral finance, corporate finance, financial technology, and interdisciplinary accounting. His work examines retail investor psychology, fund manager behavior, CEO decision-making, and fintech impacts on financial markets. He has published in Review of Financial Studies , Harvard Business Review , and Financial Times . Scientific Contributions: EFMD Global, Emerald Literati, and European Financial Group awards Keynote speaker at global conferences (New York, London, Mumbai, Frankfurt) Media citations in Financial Times , BBC , Forbes , and Bloomberg Teaching & Leadership: Delivers award-winning MSc/MBA/PhD courses in UK, Europe, and Asia. Holds a Postgraduate Certificate in Academic Practice and Fellow of AdvanceHE. Designed executive programs for firms including Aetna CVS Health and Scottish Widows. Research Leadership: Co-organizes international conferences like the Cardiff Financial Technology Conference and European Financial Management Association Meeting . Supervises PhD students on topics spanning fintech, behavioral finance, and CEO lifestyle impacts.

Maxime Menuetمشاهده پروفایل

استاد

• Economic Theory
• Political Economy
• Macroeconomics
• +۵ مورد دیگر

Maxime Menuet is a Professor of Economics at Université Côte d'Azur (GREDEG) and a Research Associate at IPAG Business School in Paris. His academic credentials include a PhD in Economics and dual M.Sc. degrees in Macroeconomics/Finance and Mathematics from the University of Orléans, complemented by a 2023 HDR (Habilitation à Diriger des Recherches) from Paris VIII. 2023: HDR in Economics, Paris VIII 2018: PhD in Economics, University of Orléans 2015: M.Sc in Macroeconomics and Finance, University of Orléans 2015: M.Sc in Mathematics (Theoretical Probability), University of Orléans His research focuses on Economic Theory and Political Economy , with specialized expertise in public debt , macroeconomic stability , conflict dynamics , and interdisciplinary intersections with theology and history . Recent work explores environmental sustainability through fiscal policy, ideological clashes in macroeconomic governance, and historical economic thought from Jansenist perspectives. Maxime's publications since 2023 show strong interdisciplinary trends, blending theological analysis with economic modeling (e.g., New Testament debt language), refining game-theoretic conflict models , and advancing ecological macroeconomic frameworks for sustainable debt management. ANR Young Researcher Grant Best Paper Award, TIMTED Conference Visiting Scholarships: Duke University, Osaka University, UCAM Montreal As Deputy Director of EUR ELMI and co-director of the European Research Group on Money, Banking, and Finance, he leads major interdisciplinary initiatives. His teaching portfolio mirrors his research, covering economic theory, political economy, and debt/conflict dynamics.

Snehal Banerjeeمشاهده پروفایل

استاد

• Financial Markets
• Behavioral Finance
• Liquidity
• +۵ مورد دیگر

Snehal Banerjee is a Professor of Finance at the Stephen M. Ross School of Business, University of Michigan. He holds the Michael R. and Mary Kay Hallman Faculty Fellowship. Previously, he served as Associate Professor at UC San Diego's Rady School of Management and Northwestern University's Kellogg School of Management. His research focuses on financial markets' information dynamics, liquidity, and behavioral aspects, particularly how investors process information and regulatory policies impact market efficiency. Education: Ph.D. in Finance from Stanford University (2007); B.A. in Economics, Mathematics, and Computer Science from Brandeis University (2002). He has advised multiple Ph.D. students now at institutions like Chinese University of Hong Kong and INSEAD. Research interests include investor disagreement, strategic trading, and transparency effects. Notable publications explore topics like SPACs' theoretical foundations, information acquisition strategies, and securities lending market dynamics. His work has received awards including the RFS Young Researcher Prize and the AES Notable Working Paper Award. Teaching spans PhD and MBA courses in finance theory, asset pricing, and financial management. He serves on editorial boards for Journal of Financial Economics and Management Science, and has held roles in academic service committees at both Ross and Rady Schools.

• Leadership
• Organizational Culture
• Organizational Innovation and Change
• +۴ مورد دیگر

Charles A. O'Reilly is The Frank E. Buck Professor of Management in the Organizational Behavior area at Stanford Graduate School of Business, where he has been on faculty since 1993. Previously, he served as Professor at University of California, Berkeley (1980-92) and Assistant Professor at University of California, Los Angeles (1976-80). His educational background includes a PhD in Organizational Behavior from University of California Berkeley (1975), MBA from University of California, Berkeley (1971), and BS in Chemistry from University of Texas El Paso (1965). O'Reilly's research focuses on leadership, organizational culture, innovation and change, organizational demography and diversity, and executive compensation. His work has increasingly concentrated on narcissistic leadership and its organizational consequences, ambidextrous organizations that can simultaneously exploit existing capabilities while exploring new opportunities, and the relationship between organizational culture and performance. His influential papers on person-organization fit, organizational ambidexterity, and leadership have shaped contemporary organizational theory. His publications reveal a strong trend toward examining the dark side of leadership, particularly narcissism in executives, and how CEO personality shapes organizational culture. His recent work explores the connection between narcissistic leadership and organizational outcomes including unethical behavior, legal vulnerabilities, and cultural toxicity. Distinguished Scholar Award by the Academy of Management Organizational Behavior Division Lifetime Achievement Award (2010) Distinguished Teaching Award for MBA teaching at Stanford Graduate School of Business (2001) California Management Review Best Paper Award (1996, 2009, 2019, 2020) Administrative Science Quarterly Scholarly Contribution Award (1995, 1998) Hank McKinnell-Pfizer Inc. Faculty Fellow (2022-23) O'Reilly has developed and directed executive education programs including Culture as a Competitive Advantage and Leading Change and Organizational Renewal. He has consulted for numerous public and private firms globally and has taught at UC Berkeley, UCLA, Columbia, and Harvard Business School. His research has been supported by various academic and corporate funding sources that enable his extensive studies of organizational dynamics and leadership. As Co-Director of Culture as a Competitive Advantage and Leading Change and Organizational Renewal programs, O'Reilly works with executive teams to transform organizational culture and implement strategic change. His research on organizational ambidexterity has influenced how companies approach innovation within established organizations, particularly through his work with Michael Tushman on the concept of 'corporate explorers' who drive innovation from within.

Fabian Stingمشاهده پروفایل

استاد

• Operations Strategy
• Supply Chain Management
• Digital Innovation
• +۹ مورد دیگر

Prof. Dr. Fabian Sting is a Full Professor and Director of the Department of Supply Chain Management – Strategy and Innovation at the University of Cologne, Faculty of Management, Economics and Social Sciences. He also holds a part-time Chaired Professorship of Digital Supply Chain Innovation at Rotterdam School of Management (RSM), Erasmus University, where he previously served as Associate and Assistant Professor. He has been a visiting professor at Singapore Management University and IESE Business School, and held a postdoctoral fellowship at INSEAD. Education: Doctorate in Production Management (Dr. rer. pol., summa cum laude), WHU-Otto Beisheim School of Management M.Sc. in Mathematics - Methods and Models, University of Hagen Diploma in Management Science, Catholic University of Eichstätt-Ingolstadt Exchange studies at University of Melbourne His research centers on digital innovation, Industry 4.0, strategy implementation, and employee-driven innovation in operations and supply chains. He investigates how organizations innovate processes, manage change, and harness front-line employee ideas. His work integrates behavioral and strategic perspectives in operations management. His recent publications in MIS Quarterly , Management Science , Academy of Management Journal , and Harvard Business Review reflect a strong trend toward digital transformation, idea evaluation biases, and collaborative innovation mechanisms. The articles emphasize knowledge transfer, learning-by-doing, and the behavioral aspects of digital change. Scientific Awards: Richard Beckhard Memorial Prize, MIT Sloan Management Review Jürgen Hausschildt Award for Innovation Management, VHB Top Academic Article Award, ERIM Fabian Sting serves as Associate Editor for Management Science and Senior Editor for Production and Operations Management . He has received multiple teaching awards for courses such as "Operations Management" and "Primaire Processen." He is Academic Director of the Industrial Excellence Award in Europe, in collaboration with IESE, INSEAD, and WHU. His work contributes to UN Sustainable Development Goals related to innovation and sustainable industrialization. There is no mention of specific labs or research teams in the provided texts.

• Behavioral Decision Making
• Judgment and Decision Science
• Overconfidence
• +۳ مورد دیگر

Jack B. Soll is the Gregory Mario & Jeremy Mario Distinguished Professor of Management and Organizations at Duke University's Fuqua School of Business. He joined Duke in 2005 after roles at INSEAD and visiting positions at Chicago and Wharton. His Ph.D. from the University of Chicago focused on behavioral science and economics. Research : Soll specializes in the psychology of judgment and decision making, particularly overconfidence, group decision making, and behavioral policy implications. He has pioneered studies on: Overconfidence's societal impacts Wisdom of crowds dynamics Decision biases in hiring and energy policy Teaching : Teaches decision making, leadership, and statistics across executive and MBA programs. Known for bridging academic research with practical managerial insights. Awards : Decision Analysis Publication Award (2021) Key Contributions : Co-created the 'MPG Illusion' concept showing consumer misunderstandings of fuel efficiency Pioneered 'self-blinding' techniques to reduce decision biases Advanced understanding of advice-taking dynamics in organizations