جست‌وجوی استاد و پژوهشگر

Tom Shohfiمشاهده پروفایل

دانشیار

• Finance
• Financial Markets
• Investor Behavior
• +۱۲ مورد دیگر

Tom Shohfi is an Associate Professor of Finance at the Mike Ilitch School of Business, Wayne State University. He previously served as a financial economist at the U.S. Securities and Exchange Commission’s Division of Economic and Risk Analysis and as an assistant professor at Rensselaer Polytechnic Institute’s Lally School of Management. His academic background combines computer science, mathematics, and finance, reflecting his interdisciplinary research approach. Education: Ph.D. in Finance, University of Pittsburgh—Katz Graduate School of Business M.B.A. in Investment Management and Entrepreneurship, University of North Carolina at Chapel Hill—Kenan-Flagler Business School B.A. in Computer Science and Mathematics, New York University—College of Arts and Sciences Tom Shohfi’s research centers on fraud, investor behavior, disclosure practices, and capital markets, with a growing emphasis on data analytics and artificial intelligence in finance. His work often explores ethical dimensions in financial decision-making, including self-dealing, honesty in markets, and the behavioral consequences of taxation and environmental policies. He utilizes advanced textual analysis and large-scale financial datasets to uncover patterns in market behavior and investor psychology. His recent publications span top journals in accounting and finance, revealing a consistent focus on information asymmetry, market transparency, and behavioral anomalies. Themes across his work include the role of public information (e.g., Wikipedia) in IPOs, the ethics of individual philanthropy among blockholders, and the illicit dynamics of restricted goods like bourbon. His integration of machine learning and AI in financial modeling is evident in his teaching and research trajectory. Professional Designations: Chartered Financial Analyst (CFA) Chartered Alternative Investment Analyst (CAIA) Financial Risk Manager (FRM) Tom Shohfi actively contributes to academic and regulatory discourse through his research and teaching. He has advised regulatory policy through his work at the SEC and continues to influence finance education through courses in financial statement modeling, data analytics, and AI in finance. His collaborations with scholars across disciplines highlight his integrative research style. He is affiliated with no explicitly named lab or research center, but his methodological focus suggests engagement with data-driven finance initiatives. His ongoing work likely extends into AI applications in financial forecasting and ethical behavior modeling in capital markets.

• Financial Reporting
• Accounting Information in Capital Markets
• AI in Financial Information Processing
• +۲ مورد دیگر

Valeri Nikolaev is the James H. Lorie Professor of Accounting at the University of Chicago Booth School of Business. He earned his PhD in accounting cum laude from Tilburg University (2007), an MSc in economics from Charles University in Prague (2002), and a BSc in economics with distinction from Minsk's Institute of Management (1999). His research focuses on financial reporting in capital markets, AI's transformative role in information processing, and the economic consequences of accounting standards. Education: PhD (Tilburg University), MSc (Charles University), BSc (Minsk's Institute of Management) Nikolaev's work examines accounting information's role in contracts , transparency in financial reporting , and valuation of non-financial assets . His recent studies demonstrate LLMs' superior performance in financial analysis tasks and reveal how information context affects asset pricing models. His research has produced 15+ publications since 2012, including in Journal of Accounting Research , Journal of Financial Economics , and Review of Accounting Studies . He has served as Senior Editor at Journal of Accounting Research and previously as Associate Editor at Management Science and Journal of Accounting and Economics .

• Business Analytics
• Machine Learning
• Econometrics
• +۳ مورد دیگر

Dr. Georgi Nalbantov is a Lecturer at the Faculty of Economics, Sofia University (Burgas Branch), specializing in analytical solutions for forecasting models, cost-effectiveness, and quantitative modeling. His expertise spans business intelligence, databases, clinical outcome prediction, and advanced statistical methods like kernel techniques and survival analysis. His research focuses on Machine Learning and Data Analysis , particularly kernel methods (e.g., support vector machines), clustering, dimensionality reduction, and penalization/smoothing techniques. He has over a decade of experience in the financial, healthcare, pharmaceutical, marketing, and energy sectors. Previously, Georgi worked at Maastricht University's Computer Science Department, Maastro Clinic as a senior data analyst, and led research at a London-based hedge fund for six years. He earned his PhD in Econometrics from Erasmus University Rotterdam.

• Corporate Finance
• Investments
• International Finance
• +۳ مورد دیگر

Dr. Prakash Deo serves as Professor in the Department of Finance, Information Systems, Economics, and Risk Management at the University of Houston-Downtown (UHD), where he has taught since August 2005. His extensive teaching portfolio includes undergraduate and graduate courses in Corporate Finance, Investments, Small Business Finance, and Financial Accounting across multiple semesters through Summer 2025. His academic credentials include a Ph.D. in Business Administration with Economics emphasis from The Ohio State University (dissertation: 'Determinants of Yield Spreads on Corporate Bonds') and an MBA in Business Administration from Utah State University (dissertation: 'Study of Risk-Return Relationships for Single-Family Dwellings'). Ph.D., Business Administration, The Ohio State University MBA, Business Administration, Utah State University Dr. Deo's research focuses on Corporate Finance, Investments, and International Finance with specialized expertise in cash flow dynamics, financial performance metrics, and capital allocation strategies. His work consistently bridges theoretical finance with practical corporate applications, examining dividend policy formulation, financial distress prediction, and asset management frameworks through empirical and case-based methodologies. Analysis of his 15 most recent publications (2013-2025) reveals evolving research trajectories toward microeconomic applications in corporate settings and sophisticated cash flow analytics, particularly in detecting financial statement irregularities and optimizing capital distribution within firms. His scholarly output demonstrates sustained contribution to financial decision-making literature with increasing emphasis on EVA-based performance evaluation. His distinguished recognition includes the Alex Schoenbaum Ph.D. Dissertation Scholarship, Beta Gamma Sigma honors for MBA and Ph.D. programs, and inclusion in Who's Who listings for academic excellence. These accolades reflect his dual impact on finance education and professional practice. Alex Schoenbaum Ph.D. Dissertation Scholarship Beta Gamma Sigma (M.B.A., and Ph.D.) Invitation, Texas Education Program Phi Alpha Kappa (Ph.D.) Recognized in Who's Who, Who's Who in Collegiate Faculty and North American Education Dr. Deo mentors undergraduate honors students including Juan Chavez and Karla Martinez through directed research contracts. His externally funded research includes a $10,000 University of New Orleans grant studying FORTUNE 1000 firms' EVA implementation and a $2,500 National Association of Certified Valuation Analysts workshop grant, demonstrating sustained research productivity beyond traditional academic boundaries. Though not leading a formal research lab, Dr. Deo actively shapes academic discourse through editorial service for the Journal of Global Business Insights and leadership in curriculum development committees focused on AACSB accreditation standards, particularly in integrating societal impact and innovation metrics into business education.

Aaron Prestonمشاهده پروفایل

استاد

• Meteorology
• Climate Change
• Tropical Cyclones
• +۴ مورد دیگر

Aaron Preston is a Professor in the Atmospheric Sciences program at Northern Vermont University. He joined the faculty in 2017 after earning his Ph.D. in Meteorology from Florida State University. B.S.E in Meteorology from University of Michigan (2010) M.S. in Meteorology from Florida State University (2012) Ph.D. in Meteorology from Florida State University (2017) Dr. Preston's research focuses on tropical cyclones, lightning dynamics, and atmospheric chemistry. He has conducted simulations using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) to study pollution transport in typhoons and is developing lightning cessation algorithms for improved weather warnings. His recent publications highlight work on typhoon-induced chemical transport and lightning cessation techniques using radar data. At Northern Vermont University, he teaches courses like Mesoscale Meteorology, Remote Sensing, and Climate Change, integrating real-world tools such as GRLevel2 Analyst and AWIPS into his labs. Used WDSS-II software for lightning cessation research in Florida Collaborated with U.S. Air Force 45th Weather Squadron and NASA Kennedy Space Center Plans to expand tropical cyclone studies to Mid-Atlantic/Northeastern U.S.

Bhavik Parikhمشاهده پروفایل

دانشیار

• International Finance
• Tax Evasion
• Islamic Finance
• +۳ مورد دیگر

Bhavik Parikh serves as an Associate Professor of Finance in the Department of Accounting and Finance at the Schwartz School of Business, St. Francis Xavier University. His research in International Finance, Tax Evasion, and Islamic Finance has been published in leading journals including European Financial Management and Journal of World Business, with his work on tax havens receiving the Best Paper Top Download Award from the European Financial Management Journal. His academic credentials include a PhD in Finance from the University of Memphis, a Master of Science in Finance from the Illinois Institute of Technology, and a Bachelor of Engineering from the University of Mumbai. Parikh's research program investigates critical issues in global finance systems. He has extensively analyzed tax evasion mechanisms and the effectiveness of tax information exchange agreements, particularly within OECD frameworks. His Islamic Finance research compares risk-return profiles between conventional and Sharia-compliant instruments, with recent focus on Takaful insurance efficiency in Gulf markets. Additionally, he examines how political connections influence corporate investment decisions in emerging economies like India, and explores the role of sovereign wealth funds in international portfolio flows. Analysis of his 2019-2024 publications reveals consistent emphasis on emerging market dynamics, particularly India and GCC countries. Key research trajectories include the impact of autocracy and inequality on foreign investment, liquidity dynamics during financial crises, and ethical dimensions of corporate social responsibility reporting in developing economies. Scientific Awards: Best Paper Top Download Award from the European Financial Management Journal for 'Tax havens, tax evasion and tax information exchange agreements in the OECD' Available sources contain no information regarding PhD/Master's students supervised by Dr. Parikh or details of research grants he has secured. His conference presentations at Financial Management Association Annual Meetings and Macroeconomics and Finance Meetings represent his primary academic engagement beyond publishing. No dedicated research laboratories, specialized research teams, or administrative leadership roles are documented in the provided materials.

• Financial analysts' forecast accuracy
• Real estate investment
• Accounting quality
• +۳ مورد دیگر

Associate Professor Chee Cheong is affiliated with the University of Adelaide as an Associate Professor and Head of Finance & Banking Discipline at the Adelaide Business School . He has extensive teaching experience in Finance courses at both undergraduate and postgraduate levels across Adelaide, China, and Singapore. Research Interests His research focuses on financial analysts’ forecast accuracy , real estate investment , and accounting quality , with publications in top-tier journals such as the Journal of Financial and Quantitative Analysis and Urban Studies . Recent work explores sustainability in automobility, biodiversity risk, fintech impacts, and corporate governance. Scientific Awards 2011 Awards for Excellence Publications Analyzed 15 most recent publications (2006–2025) reveal trends in financial forecasting, real estate dynamics, fintech, corporate social responsibility, and risk management. Articles frequently intersect finance, accounting, and environmental/social policy.

Tanya Benfordمشاهده پروفایل

استاد

• Accounting Information Systems
• Corporate Governance
• Business Process Controls
• +۷ مورد دیگر

Tanya Benford is a Professor and Chair at the Lutgert College of Business, Florida Gulf Coast University (FGCU). She holds a PhD in Accounting with an emphasis in Information Systems from the University of South Florida and is a Certified Public Accountant (CPA). Her academic leadership and research are centered on accounting, corporate governance, and the integration of information technology in business processes. Her research interests include Accounting Information Systems, Corporate Governance, Business Process Controls, Enterprise Risk Management, and Information Technology in Accounting . Her work explores how IT influences decision-making, risk management, and financial performance, particularly in regulated industries like utilities and public-sector organizations. She has published in top-tier journals such as the International Journal of Accounting Information Systems and the European Journal of Information Systems . Her recent publications (2017–2023) show a strong focus on utility financial viability, corporate governance, auditor behavior, and the impact of nonfinancial metrics . These works reflect a blend of technical modeling (e.g., logistic regression), policy implications (e.g., education funding), and strategic management themes. Her research increasingly addresses public-sector and sustainability issues, particularly in utility infrastructure and regulatory compliance. Scientific Awards and Recognition: No explicit awards mentioned in the provided text. Dr. Benford advises students and leads research initiatives in accounting and information systems. Prior to her academic career, she held senior financial roles at the Atlanta Symphony Orchestra, in the airline and insurance industries, and began as a staff accountant at Coopers & Lybrand (PwC). This industry experience informs her applied research and teaching. While specific grants are not listed, her publication record and leadership position suggest active research support. She is associated with the Lutgert College of Business and contributes to the academic community through research, teaching, and administrative leadership. Though no specific lab or research center is mentioned, her work implies collaboration in areas of enterprise risk, accounting systems, and public utility finance.

Xuemin Yanمشاهده پروفایل

استاد

• Asset Pricing
• Institutional Investors
• Mutual Funds
• +۷ مورد دیگر

Xuemin (Sterling) Yan is a Professor of Finance and holds the Joseph R. Perella and Amy M. Perella Chair at Lehigh University's College of Business. Previously, he served as the Richard G. Miller Professor of Finance at the University of Missouri for 18 years. Expertise in asset pricing, institutional investors, and market liquidity Published in top journals including Journal of Finance and Review of Financial Studies Research cited in Business Week , The Economist , and The Wall Street Journal His research explores intersections between institutional investment behavior, volatility dynamics, and corporate finance, with recent work on machine learning applications in portfolio optimization. Yan's publications demonstrate sustained contributions to empirical finance and market efficiency studies. Scientific awards include: Joseph R. Perella and Amy M. Perella Chair Richard G. Miller Professor of Finance He serves as associate editor for Journal of Financial Research and Asia-Pacific Journal of Financial Studies , maintaining active engagement with academic and professional finance communities.

• Accounting
• Finance
• Capital Market Analysis
• +۲ مورد دیگر

Frank Ecker is a Professor of Accounting at the Frankfurt School of Finance and Management since August 2016. His research focuses on the role of accounting information in capital markets, particularly its implications for institutional investors and trading strategies. He holds a Bachelor’s degree in Finance from Berufsakademie Mannheim, an M.B.A. and Ph.D. from the University of Trier, and prior industry experience at Deutsche Bank AG and DGZ Dekabank Luxembourg S.A. Teaching Interests: Financial Statement Analysis, Valuation, Empirical PhD Seminar in Accounting Former Academic Affiliation: Assistant Professor at Fuqua School of Business, Duke University Research Trends: His work spans empirical accounting, financial reporting precision, discretionary accruals modeling, and market efficiency. Key themes include IPO performance, analyst forecasts, and the interaction between accounting quality and capital market outcomes. Contact: Office in E4.84 at Frankfurt School. Available by appointment for consultations.

Tillmann Schwörerمشاهده پروفایل

استاد

• Data Science
• Social Media Analytics
• Data Visualization
• +۹ مورد دیگر

Prof. Dr. Tillmann Schwörer is a Professor of Applied Data Science at Kiel University of Applied Sciences since 2019. He serves as program director for the Master's program in Data Science and teaches modules such as Tools and Programming Languages for Data Science, Social Media Analytics, and Data Visualization and Visual Analytics. Research Interests: Development and optimization of data science tools and programming languages Social media analytics and its applications Visual analytics for business and scientific domains Machine learning and AI in industrial, healthcare, and energy contexts Time series forecasting and anomaly detection Recommender systems for diverse applications Professional Experience: Prior roles include Senior Data Analyst at BS PAYONE (2018-2019), Data Scientist at mobilcom-debitel (2015-2018), and Research Associate at the Kiel Institute for the World Economy (2009-2015).

Nan Liمشاهده پروفایل

استادیار

• Accounting
• Financial Reporting
• Capital Markets
• +۷ مورد دیگر

Nan Li is an Assistant Professor of Accounting in the Department of Management at the University of Toronto, Scarborough, with a cross-appointment to the Accounting Area at the Rotman School of Management. Her research sits at the intersection of human capital, financial reporting, and capital markets, focusing on how labor market connections and digital platforms influence corporate information environments. Her research interests include: Human capital and financial reporting Labor market peer firms and employee mobility Impact of LinkedIn and Glassdoor on firm transparency Employee turnover risk and market reactions Blockchain technology and ICO disclosures Her recent publications explore innovative measures such as labor market peer firms, analyze analyst underreaction to employee sentiment, and examine payout policies during financial crises. These works span disciplines in accounting, finance, and behavioral economics, often utilizing novel data sources from online professional networks. Her scientific contributions have been published in premier journals such as Review of Accounting Studies , Journal of Accounting Research , and Journal of Financial Economics . Nan Li advises students and contributes to academic discourse through her active research agenda, collaborations with leading scholars, and engagement in cutting-edge topics at the frontier of accounting and capital markets. She is supported by institutional affiliations with one of Canada’s top business schools and has access to robust research infrastructure. She is affiliated with research teams exploring digital transformation in financial reporting and the evolving role of human capital in corporate valuation.

Jinfei Shengمشاهده پروفایل

استادیار

• Empirical Asset Pricing
• Behavioral Finance
• FinTech
• +۷ مورد دیگر

Jinfei Sheng is an Assistant Professor of Finance at the Merage School of Business, University of California, Irvine, where he joined in July 2018. He holds a PhD in Finance from the University of British Columbia, an MS from Texas A&M University, and BA and MA degrees from Nankai University. His research is centered on empirical asset pricing, behavioral finance, and FinTech, with a focus on information processing in markets using big data and machine learning. Education: PhD, University of British Columbia MS, Texas A&M University BA and MA, Nankai University His research interests include empirical asset pricing, behavioral finance, FinTech, textual analysis, AI in finance, and labor finance. He investigates how various forms of information—such as macroeconomic news, earnings reports, online reviews, and cryptocurrency whitepapers—influence investor behavior and asset prices. His work bridges traditional finance with modern data science techniques. The most recent publications highlight trends in political polarization in markets, the performance of high-fee mutual funds, the impact of generative AI on asset management, and the role of geopolitical risk. These articles demonstrate a consistent focus on information asymmetry, investor behavior, and the application of advanced analytics in financial economics. Scientific Awards: XiYue Best Paper Award at CICF AMTD FinTech Centre Prize, Asian Finance Association Conference Jinfei Sheng has advised several working papers and research projects, though no formal PhD or Master’s students are listed. He is actively involved in academic service as a reviewer for top finance journals and conferences. At UCI, he created a new FinTech course and serves as founding faculty advisor for the Anteater Crypto Association and Irvine FinTech Association. He has won teaching awards at both UCI and UBC. His research has been presented at leading academic venues and financial institutions, including the American Finance Association, NBER, Citadel, and BlackRock. He leads research on datasets such as the Macroeconomic Attention Index (MAI) and the Geopolitical Risk Index (GRI), which are publicly shared for academic use. His work in progress includes studies on mutual fund disclosures, FOMC announcements, and investor attention.

Yuhai Xuanمشاهده پروفایل

استاد

• Corporate Finance
• Corporate Governance
• Behavioral Finance
• +۷ مورد دیگر

Yuhai Xuan is Dean’s Professor of Finance and Senior Associate Dean at The Paul Merage School of Business, University of California, Irvine. He previously served as Associate Dean of Master’s Programs from 2020 to 2024 and has held faculty positions at Harvard Business School and the University of Illinois at Urbana-Champaign. He is an Associate Editor for the Journal of Financial Economics , Management Science , Journal of Financial and Quantitative Analysis , and other leading finance journals. Education: PhD in Business Economics, Harvard University AM in Business Economics, Harvard University Research Interests: Professor Xuan’s research focuses on empirical corporate finance, corporate governance, and behavioral finance . His work explores how ownership structures, board dynamics, social ties, and regulatory changes shape firm behavior and financial outcomes. He investigates topics such as capital allocation, analyst incentives, financial constraints, and the real effects of financial decisions. His research often leverages novel datasets and quasi-experimental designs to identify causal relationships in financial markets. Publication Trends: His recent publications, appearing in top journals like Journal of Financial Economics and Management Science , reflect a strong emphasis on governance mechanisms, behavioral biases in finance, and the impact of policy changes . A recurring theme is the role of incentives and power dynamics in financial decision-making, whether among directors, analysts, or venture capitalists. His work bridges theory and practice, with implications for regulators, investors, and corporate leaders. Scientific Awards: Jensen Prize (First Place Winner) for best corporate finance paper in Journal of Financial Economics All-Star Paper, Journal of Financial Economics Distinguished Service Award, Management Science (multiple years) Excellence in Teaching Awards at UC Irvine, Illinois, and Harvard CICF Best Paper Award Dean’s Impact Award, University of Illinois Advising and Grants: Professor Xuan has chaired or co-chaired PhD dissertation committees for students placed at institutions including Babson College, Nankai University, and SUNY Buffalo. While specific grant funding is not listed, his extensive publication record in top journals and invited presentations at over 40 universities and major conferences indicate strong research support. He has served on numerous editorial and program committees, reflecting leadership in the academic finance community. Labs and Teams: While no formal lab is mentioned, Professor Xuan leads a collaborative research network, frequently co-authoring with scholars from institutions worldwide. His work involves interdisciplinary teams focusing on finance, governance, and policy. He has also played leadership roles in academic programs, including as Academic Director of the Online MBA at Illinois and Senior Associate Dean at UCI Merage School.

Mohammad Nadimiمشاهده پروفایل

استادیار

• Photonics and Spectroscopy
• Agri-Food Quality Monitoring
• Machine Learning and Artificial Intelligence
• +۷ مورد دیگر

Mohammad Nadimi is an Assistant Professor in the Department of Biosystems Engineering at the Price Faculty of Engineering, University of Manitoba. He holds a PhD in Electrical Engineering from the same institution and has a multidisciplinary research profile spanning photonics, food quality, and data analytics. His work focuses on integrating advanced optical techniques with machine learning to improve agri-food production and storage systems. Education: PhD in Electrical Engineering, University of Manitoba, 2018 M.Sc. in Electrical Engineering, Iran University of Science and Technology, 2011 Dr. Nadimi's research centers on real-time quality monitoring of agri-food products using electromagnetic imaging, spectroscopy, and smart sensing technologies. He applies machine learning and AI to optimize data analysis in large-scale agricultural datasets. His work also includes microstructural analysis of food materials and laser-based biostimulation to enhance crop viability. These efforts aim to reduce post-harvest losses and improve food safety and sustainability. The selected publications reflect a strong trend in applying photonics and artificial intelligence to food quality assurance. Key areas include hyperspectral imaging, NIR spectroscopy, terahertz sensing, and deep learning models for contamination detection, spoilage prediction, and structural analysis of grains and legumes. His work bridges engineering innovation with practical agricultural challenges. Scientific Service: Senior Editor, Measurement: Food (Elsevier) Dr. Nadimi has published over 40 peer-reviewed journal articles and 20 conference papers. He is actively involved in graduate education and is currently seeking new students for research projects. His industry experience as a Senior Data Analyst at Wawanesa Insurance further strengthens his expertise in big data analytics and risk modeling. He leads a research program that combines experimental photonics with computational intelligence to develop next-generation food monitoring systems. Laboratory and Research Team: Dr. Nadimi's research group focuses on developing integrated photonics and data analytics solutions for agri-food systems. The team works on sensor development, machine learning model training, and real-time monitoring platforms for grain and oilseed storage environments.