جستجوی استاد راهنمای دانشگاهی

Sean Cao serves as Associate Professor (with tenure) at the Robert H. Smith School of Business, University of Maryland, where he is Director and Co-founder of the AI Initiative for Capital Market Research. He also holds an affiliation as professor at Harvard Business School's D 3 Institute. His academic journey began with a Ph.D. from the University of Illinois at Urbana-Champaign. Dr. Cao's research focuses on the intersection of artificial intelligence and capital markets, with particular expertise in how machine learning transforms financial analysis, corporate disclosure practices, and investment decision-making. His work examines the evolving relationship between human analysts and AI systems, blockchain applications in financial reporting, and the strategic adaptation of corporate communications for machine readership. He has pioneered research on the "AI divide" among investor groups and developed frameworks for human-AI collaborative stock analysis. His publication portfolio spans top journals including Journal of Financial Economics, Review of Financial Studies, Journal of Accounting Research, and Management Science. The research demonstrates consistent thematic progression toward increasingly sophisticated AI applications in finance, with recent work exploring distributed ledger technologies for auditing, machine learning for extracting private information from disclosures, and the economics of greenwashing in ESG funds. His studies frequently combine textual analysis with traditional financial metrics to uncover novel market insights. Fama-DFA Prize from Journal of Financial Economics for best paper in capital markets and asset pricing Michael J. Brennan Award from Review of Financial Studies Deloitte Initiative for AI and Learning award for developing trustworthy AI for social equity PanAgora Asset Management's Dr. Richard A. Crowell Memorial Prize Multiple best paper awards from Midwest Finance Association, Global AI Finance Conference, and Asian Finance Association Dr. Cao has delivered over 200 invited research talks at major institutions including the Central Bank of Japan, Central Bank of Thailand, and U.S. Securities and Exchange Commission. He serves as Guest Associate Editor for Management Science and has co-chaired Review of Financial Studies conferences on FinTech and Machine Learning. His educational initiatives include a widely adopted free AI textbook for finance and accounting that has been implemented at universities worldwide including Indiana University, UT Dallas, and University of Minnesota. As Director of the AI Initiative for Capital Market Research, Dr. Cao leads a multidisciplinary team exploring practical AI applications in finance. The initiative has secured significant funding including a $150,000 grant from GRF CPAs & Advisors. His research group maintains strong industry connections through partnerships with regulatory bodies, financial institutions, and technology companies, facilitating the translation of academic research into practical financial applications.

• Artificial Intelligence in Finance
• Machine Learning Applications
• Capital Market Research
• +۵ مورد دیگر

Kamalika Chaudhuri is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego (UCSD), and also serves as a Director and Research Scientist with the FAIR team at Meta AI. Her research focuses on the foundations of trustworthy machine learning, including robust machine learning, learning with privacy, and out-of-distribution generalization. Dr. Chaudhuri has earned her PhD from UC Berkeley in 2007 with a dissertation on "Learning Mixtures of Distributions." Her academic journey has led her to become a leading researcher in machine learning theory with a particular emphasis on privacy and robustness. Her research interests span machine learning foundations with a strong focus on trustworthy AI . She investigates problems at the intersection of differential privacy , adversarial robustness , and out-of-distribution generalization . Her work addresses critical challenges in developing machine learning systems that maintain privacy while preserving utility, resist adversarial attacks, and generalize effectively beyond training data distributions. She has pioneered approaches in privacy-preserving machine learning, robust learning theory, and methods for detecting and mitigating data memorization in models. An analysis of her recent publications (2024-2025) reveals a strong focus on the intersection of privacy, security, and machine learning. Her work spans differential privacy mechanisms, membership inference attacks, memorization detection, and fairness certification. She has been particularly active in developing methods for privacy-preserving foundation models, with several papers on differentially private computer vision and language models. Her research demonstrates a consistent thread of addressing fundamental challenges in trustworthy AI while developing practical solutions that balance privacy, accuracy, and utility. Best Award at the ICLR 2024 Workshop on Privacy Regulation and Protection in Machine Learning Distinguished Paper Award at IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2024 Dr. Chaudhuri has advised numerous PhD students who have gone on to prominent positions at Google, DeepMind, Microsoft Research, and other leading AI institutions. Her group maintains an active research blog with guest posts from UCSD researchers. She has served in significant leadership roles including General Chair for ICML 2022 and Program Co-Chair for both ICML 2019 and AISTATS 2019, where she pioneered initiatives to improve reproducibility in machine learning research. Her research group at UCSD focuses on trustworthy machine learning, with current projects spanning privacy-preserving AI, robustness against adversarial attacks, and methods for ensuring reliable out-of-distribution generalization. The group collaborates closely with the FAIR team at Meta AI, where Dr. Chaudhuri serves as a Research Scientist.

• Machine Learning
• Trustworthy Machine Learning
• Differential Privacy
• +۴ مورد دیگر

Daniel E. Ho holds multiple prestigious positions at Stanford University: William Benjamin Scott and Luna M. Scott Professor of Law Professor of Political Science Professor of Computer Science (by courtesy) Senior Fellow, Stanford Institute for Economic Policy Research Senior Fellow, Stanford Institute for Human-Centered Artificial Intelligence Faculty Fellow, Center for Advanced Study in the Behavioral Sciences He serves on the National Artificial Intelligence Advisory Commission (NAIAC), as Senior Advisor on Responsible AI at the U.S. Department of Labor, and as a Public Member of the Administrative Conference of the United States (ACUS). Ho earned his J.D. from Yale Law School and Ph.D. from Harvard University, completing a clerkship with Judge Stephen F. Williams on the U.S. Court of Appeals for the District of Columbia Circuit. His research bridges artificial intelligence, law, and public policy with emphasis on: Regulatory governance frameworks for AI systems Fairness and bias mitigation in algorithmic decision-making Environmental enforcement using satellite imagery and computer vision Methods for estimating racial disparities without direct demographic data Legal AI reliability and statutory research systems Analysis of his 2025 publications reveals a consistent focus on practical AI governance tools addressing real-world regulatory challenges. Key themes include developing benchmarks for legal applications, mitigating hallucination in legal AI tools, and creating systems for statutory research. His work demonstrates strong integration of technical AI methods with policy implementation, particularly in environmental enforcement and fairness assessment. As Director of the Regulation, Evaluation, and Governance Lab (RegLab), Ho leads interdisciplinary research partnerships with government agencies. While specific grant details aren't provided, RegLab's operational model indicates substantial research funding for policy-relevant AI projects. No student advisees are mentioned in available materials. Ho's leadership extends to national advisory roles where he shapes federal AI policy through evidence-based recommendations, particularly regarding environmental protection and civil rights enforcement mechanisms.

• Artificial Intelligence Policy
• Regulatory Governance
• Fairness in AI
• +۳ مورد دیگر

Professor Brent Mittelstadt is a leading academic in data ethics and AI governance at the University of Oxford's Oxford Internet Institute (OII), serving as Professor of Data Ethics and Policy and Director of Research. He coordinates the Governance of Emerging Technologies (GET) programme, focusing on ethics, law, and technology interplay. His work bridges academic research with policy impact, contributing frameworks like 'counterfactual explanations' and fairness metrics ('Conditional Demographic Disparity') used globally. He leads high-profile projects such as Trustworthiness Auditing for AI and A Right to Reasonable Inferences in Advertising and Financial Services. Research interests span AI ethics, medical ethics, technology governance, and non-discrimination law. He has pioneered ethical frameworks addressing algorithmic bias, GDPR compliance, and AI accountability. His work has influenced policy bodies like the UK Information Commissioner’s Office and the European Commission, and is implemented by tech giants such as Google and Microsoft. Awarded O2RB Excellence in Impact Awards (2018, 2021) and PLSC Best Paper (2019) Funded by Wellcome Trust, Sloan Foundation, and others Advisory roles for NHSx, GSK Consumer Healthcare, and regulatory bodies Recent work focuses on AI regulation (EU AI Act), generative AI ethics, and healthcare AI governance. He co-leads the OxonFair toolkit for algorithmic fairness and investigates societal impacts of deepfake proliferation and large language models.

• Data Ethics
• AI Ethics
• Technology Governance
• +۴ مورد دیگر

Jose Miguel Abito ("Mike") is an Associate Professor in the Department of Economics at The Ohio State University (OSU), serving as Director of Undergraduate Studies. He holds a PhD from Northwestern University, with prior roles including Assistant Professor at the Wharton School, University of Pennsylvania, where he won a teaching award. His research focuses on applied microeconomics, particularly industrial organization, regulation, and environmental economics. He examines topics such as regulatory incentives, consumer misinformation effects, and antitrust methodologies in sectors like electricity, extended warranties, and infant formula. Education: PhD in Economics from Northwestern University (Evanston, IL), graduate studies in Econometrics and Mathematical Economics at Toulouse, France, and undergraduate studies in Singapore. Research Interests: Mike explores how regulatory frameworks impact market efficiency, consumer welfare, and firm behavior. Recent work analyzes renewable energy market design, electricity procurement dynamics, and demand spillovers in welfare programs like WIC. His methodologies bridge theoretical models and empirical analysis to address complex policy questions. Professional Activities: Currently serves as a University Senator (2023-2026), member of the Salmon P. Chase Center Academic Advisory Committee, and faculty advisor for the Quantitative Finance Club at OSU. Previously involved in inclusive teaching initiatives at Wharton. Awards: Recognized with a teaching award during his tenure at Wharton School. Grants & Advising: Advises on projects related to infant formula markets, wage dynamics, and environmental policy. Engaged in collaborative research on green jobs, regulatory auditing frameworks, and productivity analysis.

• Industrial Organization
• Regulation
• Environmental Economics
• +۳ مورد دیگر

You-il (Chris) Park is an Associate Professor of Accounting at the University of Hawaii at Manoa’s Shidler College of Business, serving as Co-Chair of the Hawaii Accounting Research Conference (HARC) and Hawaii Accounting Research Doctoral Institute (HARDI). He holds the Accuity LLP Accounting Faculty Fellowship and coordinates the Accounting Ph.D. program. His research focuses on archival, economics-based studies examining how accounting standards, regulations, and corporate governance influence financial reporting, capital markets, and managerial decisions. Professor Park holds a Ph.D. in Business Administration (Accounting) from Duke University’s Fuqua School of Business, an M.A. in Economics from Duke University, and a B.S. in Management with Highest Honor and an Accounting Certificate from Georgia Institute of Technology’s Scheller College of Business. Prior to academia, he worked as an internal auditor at Georgia Power & Southern Company and as a computer programmer in the Republic of Korea Air Force. His research interests span topics such as IFRS impact on macroeconomics, credit rating affirmations, audit quality, and data analytics in operational efficiency. His work appears in top journals like The Accounting Review and Contemporary Accounting Research. Professor Park has received numerous accolades for teaching excellence, including the Presidential Citation for Meritorious Teaching (2025), Shidler College Professor of the Semester awards (2022–2025), and multiple nominations for the Board of Regents Medal for Teaching. His professional service includes roles as a doctoral consortium fellow and reviewer for prestigious journals. He actively contributes to academic communities through HARC and HARDI, fostering research collaboration and mentoring doctoral students. His curriculum development includes courses such as Accounting Capstone and Ph.D. seminars, emphasizing practical and theoretical mastery.

• Accounting Standards
• Corporate Governance
• Capital Markets
• +۳ مورد دیگر

Professor Tatsuhisa Tamura is affiliated with the Faculty of Law at Waseda University , specializing in Public Law . His academic career spans over two decades, with a focus on local government law, administrative law, and economic regulation. Research Interests include: Public Law : Constitutional frameworks and local governance structures. Disaster Relief Law : Legal systems for JSDF deployment in crises. Economic Regulation : Impacts of deregulation on administrative law. Civic Accountability : Judicial control mechanisms like resident litigation. Policy Reform : Decentralization and carbon-neutral governance. Recent Publications (2015–2020) address municipal financial systems, citizen litigation frameworks, and disaster response protocols. His work emphasizes balancing efficiency with democratic control in shrinking societies. Grants & Projects include: 2025–2029: Sustainable Public Official Law (JSPS Grant). 2019–2022: Civil Defense Systems in Large-Scale Disasters . 2017–2021: Legal Regulation of Local Government Enterprises . 2021–2025: Comparative Studies on Personnel Administration . Teaching involves courses like Local Government Law and Administrative Law at Waseda’s Graduate School of Law. He also contributes to public policy debates on carbon neutrality and judicial transparency.

• Public Law
• Administrative Law
• Local Government Law
• +۳ مورد دیگر

Nemit Shroff is the School of Management Distinguished Professor and Professor of Accounting at MIT Sloan School of Management. His work focuses on the impact of accounting disclosures and regulatory frameworks on corporate policies. He holds a PhD from the University of Michigan, MBA from Amrita School of Business, and undergraduate degree from University of Mumbai. Shroff's research examines how audited financial statements, management forecasts, and regulatory policies influence corporate financing and investment strategies. His studies highlight economic consequences of disclosure regulations globally. Key areas include audit market competition, PCAOB oversight, and regulatory spillover effects. His work has been featured in top journals like The Accounting Review and Journal of Accounting and Economics. Recipient of 2011 FARS Best Dissertation Award 2014 Competitive Manuscript Award winner 2016 FARS Best Paper Award honoree Co-recipient of American Tax Association award (2025) His recent media contributions include analyses on PCAOB reforms in ProMarket and Wall Street Journal commentaries on audit board independence. Shroff is affiliated with MIT's Consumer Finance Initiative, exploring intersections between financial systems and consumer protection.

• Accounting
• Finance
• Corporate Governance
• +۳ مورد دیگر

Stefan Bechtold is a Full Professor of Intellectual Property at ETH Zurich since 2013 and Associate Vice President IP Policy (2023–2026). He is affiliated with the ETH AI Center and serves on global advisory boards including the Academic Advisory Board of the German Federal Ministry for Economic Affairs and Climate Action. His interdisciplinary research bridges law, economics, and computer science.

• Intellectual Property Law
• Internet Law
• Privacy Law
• +۷ مورد دیگر

Hami Amiraslani serves as Assistant Professor of Accounting at ESMT Berlin, holding a PhD and MSc from the London School of Economics. Previously faculty at INSEAD and a Wharton School visiting scholar, he teaches Management Accounting and Sustainable Business Finance across master's and executive programs. His educational credentials include: PhD in Accounting, London School of Economics and Political Science MRes, City St George’s, University of London MSc in International Accounting and Finance, London School of Economics and Political Science Amiraslani's research investigates capital markets, corporate governance, and sustainability interfaces with financial contracting and regulation. His work critically examines how ESG integration, board oversight structures, and climate disclosure frameworks reshape market efficiency and investor behavior, blending theoretical rigor with empirical analysis of regulatory impacts. Recent publications (2023-2025) reveal three dominant research trajectories: 1) Board-level governance mechanisms for ESG risk management, 2) Regulatory consequences of climate disclosure mandates on capital allocation, and 3) Bond market valuation effects of sustainability performance. These studies consistently demonstrate how governance quality mediates the relationship between sustainability practices and financial outcomes across debt and equity markets. No scientific awards are documented in the provided materials. His teaching portfolio indicates active mentorship in accounting education though specific student advisees aren't listed. Research activities appear institutionally supported through ESMT's academic infrastructure without explicit grant mentions.

• Capital Markets
• Corporate Governance
• Corporate Sustainability
• +۴ مورد دیگر

Bryan H. Choi is an Associate Professor of Law at the University of Colorado Law School , where he bridges law and computer science to address software and AI safety. His work on software liability has influenced national cybersecurity strategy discussions. As an Adviser for the ALI Principles Project on Civil Liability for Artificial Intelligence , he shapes legal frameworks for emerging technologies. Education : JD and AB in Computer Science from Harvard University; clerkships with U.S. Court of Appeals judges Leonard I. Garth and William C. Bryson. Roles : Former joint appointment at Ohio State University Law School and Computer Science Department; Faculty Fellow at UPenn's CTIC; Director of Law and Media at Yale's ISP. Research Focus : Choi's scholarship examines software liability , AI accountability , and privacy law through interdisciplinary lenses. He critiques institutional approaches to software safety and advocates for empirical legal frameworks over participation-based models. Recent Articles address AI malpractice , NIST software standards , and forensic tool validation , reflecting trends in AI regulation and cyber-physical system liability . His 2021 NSF grant funded technical-legal methods for safety-critical systems. Awards & Grants : National Science Foundation (NSF) Grant (2021) Adviser, ALI Principles Project on Civil Liability for Artificial Intelligence Community Engagement : Active in Law and Computer Science communities , serving on committees for the ACM Symposium , Cybersecurity Law and Policy Scholars Conference , and co-organizing the AAAI Bridge Program on AI and Law .

• Software Liability
• AI Safety
• Cybersecurity Law
• +۶ مورد دیگر

Dylan Hadfield-Menell is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, holding the Bonnie and Marty (1964) Tenenbaum Career Development Professorship. His research focuses on AI alignment and human-AI interaction within MIT's School of Engineering. His research interests center on agent alignment problems in AI systems, particularly examining uncertainty in objective optimization for human-robot teams and societal oversight of machine learning systems. Key areas include the principal-agent alignment problem , assistance games frameworks , and robust preference learning that accounts for hidden contextual factors in reinforcement learning from human feedback. His recent publications reveal strong trends toward multi-agent cooperation , formal contract mechanisms for resolving social dilemmas, and advanced evaluation methodologies for AI safety. The research spans theoretical frameworks like open-universe assistance games while addressing practical challenges in language model alignment and cultural bias assessment. Scientific awards include: AI2050 Early Career Fellowship from Schmidt Futures Berkeley Fellowship NSF Graduate Research Fellowship C.V. Ramamoorthy Distinguished Research Award His work bridges theoretical computer science with real-world AI governance challenges, as demonstrated through MIT's participation in AI policy white papers. Current research directions include developing frameworks for transparent AI systems and addressing fundamental limitations in aligning recommender systems with human values through interdisciplinary synthesis.

• AI Alignment
• Human-AI Interaction
• Reinforcement Learning
• +۳ مورد دیگر

Gustavo J. Bobonis is a Professor in the Department of Economics at the University of Toronto, with affiliations at the Munk School of Global Affairs and Public Policy. He holds a Ph.D. from the University of California, Berkeley (2005) and a B.A. from the University of Puerto Rico at Rio Piedras (2000). He co-directs the Forward Society Lab and is actively involved in research on development, labor, political economy, and economic history. Research Interests: His work focuses on development economics, particularly the impact of public policies on poverty, violence, education, and governance. He employs rigorous empirical methods, including field experiments and quasi-experimental designs, to analyze issues such as intimate partner violence, corruption, clientelism, and human capital accumulation. His research is geographically concentrated in Latin America and Puerto Rico. Recent Research Trends: His recent publications and working papers (2022–2025) demonstrate a strong focus on institutional reform, including anti-corruption audits, domestic violence courts, and education management. He also investigates long-term social impacts of welfare programs and climate adaptation strategies. His interdisciplinary approach bridges economics, public policy, and social science. Scientific Awards: U of T Department of Economics Faculty Award for Excellence in Undergraduate Teaching, 2015 John C. Polanyi Prize in Economic Science, 2009 National Academy of Education / Spencer Foundation Postdoctoral Fellow, 2008 Advising and Grants: While specific student names are not listed, he advises graduate students through the Honours Essay and research workshops. He leads collaborative research projects funded through grants and affiliations with J-PAL and BREAD, often involving large interdisciplinary teams. His work includes randomized evaluations and long-term follow-ups, suggesting sustained funding and research support. Labs and Teams: He co-directs the Forward Society Lab, which likely supports policy-relevant research on social development. He frequently collaborates with economists such as Paul Gertler, Marco Gonzalez-Navarro, Simeon Nichter, and Luis R. Cámara Fuertes. His affiliations with J-PAL and BREAD indicate integration into major global research networks focused on development and poverty alleviation.

• Development Economics
• Labour Economics
• Political Economy
• +۷ مورد دیگر

Professor Tomo Suzuki (Waseda University, Faculty of Commerce) holds a D.Phil. from Oxford University and has held academic positions at Oxford, London School of Economics, and Meiji University. His research spans Institutional Mechanism Design , Sustainability Management , and Mature Socio-Economy across Japan, India, and China. Former Oxford Professor with top academic awards (2008-2012) Advisor to Japanese Cabinet (2020-2023) and LDP Policy Committee Developed "One Additional Line" $2B/year system in India Lead author on 9 Scopus publications with 212 citations Research Focus : • Applied Institutional Design for mature economies • Distribution Statement (DS) for fair value allocation • Critique of shareholder-first capitalism Scientific Awards : Cosmo Awards for Research Excellence (1996, 2015) UK Research Assessment Exercise Top Score (2008) Oxford Executive MBA Outstanding Professor

• Institutional Mechanism Design
• Sustainability
• Mature Socio-Economy
• +۳ مورد دیگر

John Gallemore is an Associate Professor of Accounting at the University of North Carolina Kenan-Flagler Business School, where he focuses on how corporate tax policy and enforcement shape financial reporting behaviors. His research, published in top journals like the Journal of Accounting & Economics and Contemporary Accounting Research , explores tax policy, regulatory impacts, and banking sector dynamics. He teaches courses such as Strategic Cost Analysis and Performance Evaluation in the MBA program and has been recognized for teaching excellence, including the Emory Williams Award and being named one of Poets & Quants’ 'Best 40 Under 40' professors. Gallemore holds a PhD, MBA, and BSBA from UNC Chapel Hill. His career includes roles at the University of Chicago Booth School of Business before joining UNC in 2021. Awards include the Deloitte Foundation Doctoral Fellowship and FASB Doctoral Consortium Fellowships. His research has been featured in media outlets like the Washington Post and Bloomberg. Key research interests include corporate taxation, regulatory spillovers, AI’s impact on white-collar work, and tax avoidance strategies. His recent articles analyze tax policy expectations, bank regulatory oversight effects, and anti-tax avoidance regulation’s role in market concentration.

• Corporate Taxation
• Financial Reporting
• Tax Policy Analysis
• +۳ مورد دیگر