Find Academic Supervisors

• CEO responsibility
• Disclosure vs. recognition
• Earnings management
• +5 more

Michael S.H. Shih is a Professor in the Department of Accounting at the Odette School of Business, University of Windsor, Canada. He holds a Ph.D. in Accounting from the University of Minnesota and has previously held academic appointments at National University of Singapore, University of Toronto, and University of Wisconsin. His research focuses on CEO accountability, earnings management, and executive compensation frameworks. Education: Ph.D. in Accounting (University of Minnesota, 1989), M.S. in Accounting (University of Akron, 1983), B.A. in Economics (National Taiwan University, 1978) His scholarly work examines investor skepticism toward financial disclosures , discretionary accruals measurement , and strategic implications of earnings surprises . Recent publications address market reactions to subtle financial signals and methodological improvements in accrual estimation models. Selected scientific contributions include: 2000 Oscar R. Goodman Best Paper Award (Midwest Finance Association) 1998-1999 NUS Business School Honourable Mention His career spans diverse institutions across North America and Asia, with extensive service on editorial review boards and professional associations.

Donald DeisView profile

Professor

• Audit Economics
• Earnings Management
• Forensic Accounting
• +5 more

Dr. Donald Deis is the Ennis & Virginia Joslin Endowed Chair and Regents Professor of Accounting at the College of Business, Texas A&M University-Corpus Christi. He joined the faculty in 2004 and holds a Ph.D. in Accounting from Texas A&M University (1988), an MBA (1977), and a BA (1975), all from Texas A&M University-Corpus Christi. He is a Certified Public Accountant (Texas) and Certified Fraud Examiner. His research focuses on audit economics, earnings management, forensic accounting, privatization of government services, corporate social responsibility, and governmental/nonprofit financial reporting. Notable contributions include studies on audit firm selection in local governments, privatization impacts, and sustainability reporting standards. Dr. Deis has been awarded the Texas A&M University System Regent Professor Award (2015). His publications span audit risk, innovation economics, and public sector accounting practices. Prior to TAMUCC, he held faculty positions at Louisiana State University and the University of Missouri-Columbia. His work bridges academic research and practical applications, particularly in government auditing and nonprofit financial transparency. He has collaborated on projects for Louisiana’s transportation and correctional systems, emphasizing cost-benefit analysis and privatization outcomes.

Jingchen HuView profile

Associate Professor

• Bayesian Statistics
• Data Privacy
• Missing Data Analysis
• +3 more

Jingchen Hu is an Associate Professor of Mathematics and Statistics at Vassar College, where she has been since 2015. She holds a BS in Computing Mathematics from City University of Hong Kong and a PhD in Statistics from Duke University. Her research focuses on Bayesian statistical methodology, particularly in addressing missing data in surveys and generating synthetic datasets for privacy-protected public release. She has led collaborative projects on advancing Bayesian thinking in STEM education and privacy-preserving data synthesis. Education: BS in Computing Mathematics (City University of Hong Kong), MS and PhD in Statistics (Duke University). Research Interests: Bayesian methods for social sciences Privacy-preserving synthetic data generation Data utility and disclosure risk evaluation Curriculum development in Bayesian statistics Grants & Awards: Recipient of a 2023 NSF grant for collaborative research on Bayesian education and privacy methodologies. Teaching: MATH 240: Introduction to Statistics MATH 301: Topics in Advanced Mathematics and Statistics Labs/Teams: Collaborations with University of California, Irvine (UCI) and Duke University on NSF-funded Bayesian education initiatives and privacy-preserving data projects.

Xianming ZhouView profile

Associate Professor

• Corporate Finance
• Managerial Incentives
• Capital Market
• +3 more

Xianming Zhou serves as an Associate Professor within the Research School of Finance, Actuarial Studies & Statistics at the Australian National University (ANU), a position he has held since joining the institution in September 2014. His academic career includes prior appointments at the University of Sydney, City University of Hong Kong, and University of Hong Kong, establishing a robust international profile in finance education and research. Dr. Zhou's educational background features a PhD in Economics from the University of Toronto (awarded November 20, 1997), an MA from the University of New Brunswick, and dual engineering degrees (BEng and MEng) from Tsinghua University. This multidisciplinary foundation bridges technical engineering training with advanced economic theory. His research centers on corporate governance mechanisms, specifically examining how managerial incentives and ownership structures influence firm outcomes through agency theory frameworks. Empirical investigations leverage executive compensation data and cross-national comparisons to address core questions about incentive contract design, particularly in institutional contexts ranging from Japan and Australia to emerging economies like China. His work consistently tackles methodological challenges such as endogeneity while exploring how legal frameworks shape governance effectiveness. Publication analysis (1999-2018) reveals sustained scholarly contributions focused on executive pay systems and ownership-performance relationships, with increasing attention to institutional variations across developed and emerging markets. His research demonstrates rigorous empirical approaches to test theoretical predictions about principal-agent problems, showing how contextual factors like state ownership or market development moderate governance outcomes.

Shouqiang WangView profile

Associate Professor

• Supply Chain Management
• Sustainable Operations
• Mechanism Design
• +4 more

Shouqiang Wang is an Associate Professor of Operations Management at the Naveen Jindal School of Management, University of Texas at Dallas. His research focuses on strategic operations problems in business and public domains, emphasizing incentive structures under asymmetric information and dynamic interactions. He holds a PhD in Business Administration from Duke University, with additional degrees from Duke and Peking University. Education: PhD in Business Administration (Duke, 2011), MS in Statistics (Duke, 2011), BS in Mathematics and BA in Economics (Peking University, 2006). Visiting student at Uppsala University (2005). Research Interests: Revenue Management (online platforms) Sustainable and Public Sector Operations Supply Chain Management Information Economics (mechanism design) Dynamic Programming and Stochastic Control Key Contributions: Published in top journals like Management Science , Operations Research , and M&SOM . Recognized with awards including the ENRE Best Publication Award and POM Society Best Paper Award. Active in editorial roles for leading journals. Awards: Includes Management Science Meritorious Service Award, finalist for Jindal Faculty of the Year, and advisor to award-winning PhD students. Teaching: Courses in statistics, business analytics, logistics, and operations management. Known for innovative pedagogical approaches. Service: Serves on editorial boards, conference organizing committees, and grant review panels. Engages with industries like C.H. Robinson and Target.

Eric D. KolaczykView profile

Professor

• Statistics
• Network Analysis
• Machine Learning
• +6 more

Eric D. Kolaczyk is a Professor of Statistics in the Department of Mathematics and Statistics at McGill University, where he also serves as the inaugural director of the Computational and Data Systems Initiative (CDSI). Additionally, he is an associate academic member at Mila, The Quebec AI Institute, positioning him at the forefront of statistics, data science, and artificial intelligence research. Dr. Kolaczyk's research focuses on statistical and machine learning theory and methods that support human endeavors enabled by computing and engineered systems, frequently from a network-based perspective of systems science. His work spans multiple domains including: Network analysis and modeling Computational biology and neuroscience AI-assisted chemistry and materials science Data privacy and security Statistical methodology for complex systems His recent publications demonstrate a strong emphasis on network science, with particular attention to dynamic networks, privacy-preserving methods, and applications across diverse fields from epidemiology to materials science. His work bridges theoretical statistics with practical applications, often developing novel methodologies to address challenges in complex data environments. Dr. Kolaczyk has received significant recognition for his contributions to the field: Elected Fellow of the American Association for the Advancement of Science (AAAS) Elected Fellow of the American Statistical Association (ASA) Elected Fellow of the Institute of Mathematical Statistics (IMS) Elected Senior Member of the IEEE Elected Member of the International Statistical Institute (ISI) Throughout his career, Dr. Kolaczyk has been actively involved in academic leadership and service. He has served as an associate editor for prestigious journals including the Journal of the American Statistical Association (JASA) and the Journal of the Royal Statistical Society, Series B (JRSSB). He previously served as co-chair of the U.S. National Academies of Sciences, Medicine, and Engineering Roundtable on Data Science Education and as president of the New England Statistical Society. His research has been supported by numerous grants that enable collaborations across disciplines. As the inaugural director of McGill's Computational and Data Systems Initiative (CDSI), Dr. Kolaczyk leads interdisciplinary efforts to advance computational and data-intensive research across the university. His leadership at CDSI fosters collaboration between statisticians, computer scientists, domain experts, and industry partners to tackle complex data challenges.

• Banking
• Financial Risk Management
• Corporate Governance
• +7 more

Salvatore Polizzi is a Researcher in the Department of Economics, Business and Statistics at the University of Palermo . His work focuses on banking, financial regulation, and corporate governance, with a particular emphasis on transparency, risk disclosure, and ESG integration in financial institutions. Research Areas : Credit risk disclosure, corruption detection, ESG factors, securitization, market discipline, and sustainable finance. Teaching : Economics and Management of Financial Intermediaries (8 CFU) in the Economics and Business Administration program. Office Hours : Tuesdays from 9:00 to 13:00 at the Department of Economics, Business and Statistics, or by appointment via email. Contact : salvatore.polizzi@unipa.it His recent publications analyze corruption disclosure in banking, ESG's impact on asset quality, and the intersection of distributed ledger technology with financial systems. His work also explores environmental disclosure gaps, risk management frameworks, and methodological approaches in banking research. Current projects address transparency mechanisms, regulatory compliance, and the alignment of sustainability claims with lending practices in European banks.

• Accounting
• Performance Evaluation
• Auditing
• +3 more

Takanori Suzuki is a Professor at the Graduate School of Accountancy, Faculty of Commerce, Waseda University. He has held this position since April 2011, following his role as Associate Professor from April 2009. His academic career at Waseda University spans over two decades, during which he has also served as Visiting Associate Professor, Visiting Assistant Professor, and Researcher at various institutes within the university. Dr. Suzuki's educational background is impressive and interdisciplinary: Ph.D. in Social Sciences (Interdisciplinary) from Waseda University MA in Social Sciences (Interdisciplinary) from Waseda University Master of Engineering from Tokyo Institute of Technology Bachelor of Engineering from Tokyo Institute of Technology Dr. Suzuki's research focuses on the intersection of accounting, internal control systems, and organizational behavior. His work particularly examines how self-reporting mechanisms, information systems, and monitoring technologies can be designed to optimize internal control and performance evaluation. His research bridges theoretical frameworks from agency theory with practical applications in accounting and auditing. He has made significant contributions to understanding how organizations can balance short-, medium-, and long-term performance objectives while maintaining effective internal controls. His publications reveal a consistent focus on internal control systems, self-reporting mechanisms, and the interface between accounting information systems and organizational behavior. Over the past two decades, his research has evolved from foundational work on monitoring technologies to more complex analyses of multitasking in organizational settings and the strategic use of self-reporting in compensation contracts. A notable trend in his recent work is the examination of how digital transformation impacts accounting information systems and human resource management. Dr. Suzuki has received recognition for his scholarly contributions: Management Science Research Encouragement Award from the Japan Management Association (December 2005) As an educator, Dr. Suzuki has supervised numerous graduate students and has been actively involved in curriculum development, particularly in courses related to accounting information systems, internal control, and model analysis of accounting and auditing. His research projects have often involved collaboration with other scholars through various research groups including the Intellectual Property Valuation Study Group and the Contract Theory Research Group. He has also served as a referee for academic journals including "Management Accounting" published by the Japan Management Accounting Association and "Industrial Management" from Waseda University's Institute of Industrial Management. Dr. Suzuki is affiliated with several research institutes at Waseda University, including the Accounting Research Institute and the Institute of Business Administration. His current research focuses on economic models of optimal management discretion in accounting reporting and the role of self-reporting systems in corporate internal control from a game-theoretic perspective.

• Computational Mathematics
• Numerical Analysis
• Fluid Dynamics
• +3 more

Kieran Ricardo, PhD, is affiliated with the Australian National University's School of Mathematical Sciences, Department of Mathematics. His research spans computational mathematics, numerical analysis, and fluid dynamics, with a focus on atmospheric modeling and thermodynamic consistency in numerical schemes. Key Research Areas : Computational methods for geophysical fluid dynamics, entropy/energy conservation in numerical schemes, preconditioning techniques, and differential privacy applications. Recent publications highlight advancements in summation-by-parts finite difference methods, mixed compatible finite elements for spherical coordinates, and privacy-preserving data sharing frameworks. His work emphasizes structure-preserving algorithms for compressible flows and thermal atmospheric dynamics. Collaborative efforts include developing scalable ADER-DG transport methods and moist compressible Euler equation solvers with provable stability properties. The 2021 article introduced differential privacy mechanisms for public health data confidentiality.

Benjamin C. PierceView profile

Professor

• Programming Languages
• Type Systems
• Language-Based Security
• +5 more

Benjamin C. Pierce serves as the Henry Salvatori Professor of Computer and Information Science in the School of Engineering and Applied Science at the University of Pennsylvania. He is a Fellow of the ACM with extensive editorial experience, having served as co-Editor in Chief of the Journal of Functional Programming and Managing Editor for Logical Methods in Computer Science. His research spans programming languages, type systems, language-based security, formal verification, differential privacy, and synchronization technologies. Pierce is renowned for developing foundational frameworks in bidirectional transformations (lenses), property-based testing, and differential privacy verification. His work bridges theoretical computer science with practical implementation, particularly evident in his development of the Unison file synchronizer and the Clowdr virtual conference platform. The trends in his recent publications reveal a sustained focus on verification techniques for privacy-preserving systems, particularly differential privacy, alongside continued innovation in bidirectional data transformations and property-based testing methodologies. His work increasingly integrates formal verification with practical implementation concerns. Fellow of the ACM Pierce has mentored numerous researchers through PLMW (Programming Languages Mentoring Workshop) events and has served on numerous program committees for major conferences including POPL, PLDI, and ICFP. His editorial work has significantly shaped the programming languages research community through his leadership roles in key journals. He leads development of the Unison file synchronizer, a cross-platform tool used worldwide, and co-developed the Clowdr virtual conference platform that gained prominence during the pandemic. His work demonstrates a consistent pattern of creating practical tools grounded in deep theoretical foundations.

Ning WeiView profile

Assistant Professor

• Computational and Applied Mathematics
• Mathematical Biology
• Cybersecurity
• +3 more

Ning Wei is an Assistant Professor of Mathematics at Purdue University, located in the Department of Mathematics within the College of Science. His research focuses on computational and applied mathematics with a strong emphasis on mathematical biology, as well as interdisciplinary work in cybersecurity and privacy-preserving technologies. He holds a faculty position with responsibilities in both teaching and research. Dr. Wei's work bridges theoretical mathematics with practical applications in security and privacy. His research interests include differential privacy mechanisms, cybersecurity behavior analysis, and the design of effective security systems. Notably, his contributions span areas such as phishing detection, password security, and privacy-enhancing technologies for data publishing. His publications demonstrate expertise in topics like adaptive network security measures, user behavior in cybersecurity contexts, and the implementation of privacy-preserving algorithms. While specific grants or awards are not listed here, his active publication record indicates significant engagement with both academic and applied research challenges in his fields of interest. Contact information includes his office location (MATH 404) and email address (wei307@purdue.edu). Further details about his research and projects can be found on his personal website.

• HIV/AIDS
• Infectious Diseases
• Euthanasia
• +5 more

Dorothy J. N. Kalanzi serves as an Adjunct Assistant Professor in the Department of Sociology and Anthropology at The University of Texas at Arlington, with continuous teaching appointments since 2013 including Visiting Assistant Professor and Adjunct roles. Previously, she was an Assistant Professor at Gannon University from 2008-2013, teaching across sociology, social work, and gerontology disciplines. Her academic credentials include: PhD in Sociology from Texas Woman's University (2008) MS in Gerontology from University of North Texas (2002) MS in Theological Studies from Garrett-Evangelical Theological Seminary (1992) BA in Communications from Illinois Wesleyan University (1989) AS in Journalism from Parkland College (1987) Dr. Kalanzi's research centers on critical intersections of health and society in Africa (particularly Uganda) and the United States, with emphatic focus on HIV/AIDS dynamics , infectious disease control , euthanasia ethics , climate change impacts , and displacement crises . Her fieldwork examines cultural, religious, and policy dimensions of health interventions, revealing how socioeconomic factors and traditional beliefs shape health outcomes in vulnerable populations. Her publication portfolio demonstrates consistent thematic focus on Ugandan contexts through interdisciplinary lenses combining medical sociology, bioethics, and environmental studies. Key trends include analysis of HAART implementation barriers, cultural determinants of euthanasia attitudes, and climate vulnerability among farming communities. Teaching excellence has been formally recognized through: Oline Teaching Foundation Course Award (Online Learning Consortium, 2017) President's Award for Teaching Excellency in Technology (Gannon University, 2011) She maintains an intensive teaching schedule of 4-6 courses per regular semester and 3 in summer, covering Medical Sociology, Social Statistics, Research Design, and Global Health. Her curriculum development emphasizes online pedagogy, evidenced by multiple Online Learning Consortium certifications, though specific student advising details and grant activities aren't documented in available materials.

Anindya RoyView profile

Professor

• Time Series Analysis
• Nonparametric Bayesian Analysis
• High-dimensional Estimation and Inference
• +3 more

Anindya Roy is a Professor of Statistics in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC). His research focuses on time series analysis, Bayesian methods, high-dimensional statistics, and applications in biomedical and engineering domains. He serves as an Area Editor for Statistical Analysis and Data Mining , and on editorial boards for Sankhya, Ser. A and Statistics in Medicine . His research interests include nonparametric Bayesian approaches, geometric constraints in statistical models, and sequential experimental design. He has received research funding from the National Science Foundation (NSF DMS–2210282). Recent work addresses privacy-preserving data synthesis, causal inference in time series networks, and fetal growth modeling. Key contributions include methodologies for high-dimensional time series with directed acyclic graphs, Bayesian approaches for relational graph estimation, and statistical techniques for medical applications such as cyclotron ion source development and cervical cancer screening risk prediction. Notable collaborative efforts involve proteomic analysis of chemical mixtures, oncology trial design, and biomarker studies. His work bridges theoretical statistics with applied problems in health sciences and engineering, emphasizing interdisciplinary impact.

• Survey Statistics
• Statistical Disclosure Control
• Small Area Estimation
• +5 more

Natalie Shlomo is a Professor of Social Statistics at the University of Manchester, affiliated with the School of Social Sciences. She leads research in survey methodology, statistical disclosure control, and official statistics. Her roles include serving as President of the International Association of Survey Statisticians (2023-2025) and Vice President of the International Statistical Institute (2017-2019). Education: BSc Mathematics & Statistics, Hebrew University (1978-1981) MA Statistics, Hebrew University (2000-2003) PhD Statistics, Hebrew University & University of Southampton (2004-2007) Research Focus: Survey design, small area estimation, adaptive survey designs, data privacy, and methodological advancements in official statistics. Her work addresses challenges in data integration, non-response adjustments, and statistical disclosure control. Grants & Collaborations: Co-Investigator on ESRC-funded projects like Survey Futures (2023-2026) and CoDE (2021-2022). Lead PI on projects such as Methodological Advancements on Administrative Data (2021-2022) and Bayesian Adaptive Survey Designs (2015-2018). Collaborations include EU Horizon 2020 (InGrid2) and World Bank initiatives. Awards: Fellow of the Royal Statistical Society, Simons Fellow (2016), and member of numerous editorial and advisory boards including the Journal of Survey Statistics and Methodology and the Royal Statistical Society's Academic Affairs Committee. Leadership: Former Head of the Department of Social Statistics (2014-2017), Research Director of Social Statistics (2019–present), and global advisor on statistical methodology for institutions like the European Union and Australian Bureau of Statistics.

Siris VasiliosView profile

Professor

• Resource Management in Networks
• Distributed Ledger Technologies (DLTs)
• Blockchains and IoT Security
• +3 more

Professor Siris Vasilios holds the position of full Professor at the Department of Informatics, Athens University of Economics and Business (AUEB). Previously, he served as Assistant and Associate Professor at AUEB (2009–2020) and the University of Crete (2002–2009). His expertise spans resource management in networks, blockchain-based IoT security, and future communication systems. He has published over 150 papers in top venues like IEEE INFOCOM and ACM Mobicom, and holds three patents in wireless resource management. Education: Diploma in Physics (1990), National and Kapodistrian University of Athens M.S. in Computer Science (1992), Northeastern University, Boston, USA Ph.D. in Computer Science (1998), University of Crete Research Interests: His work focuses on trusted communication in IoT , leveraging blockchain technologies for secure systems. Key areas include distributed ledger applications, energy-efficient network protocols, and satellite-terrestrial integration. He emphasizes combining theoretical methods with practical system implementations. Awards & Recognition: He has coordinated EU-funded projects (e.g., SOFIE) and served as Technical Program Chair for IEEE WoWMoM 2018 and IQ2S 2015. His research has been recognized through grants from Greek governmental and industry partners. Grants & Projects: Principal Investigator for multiple EU research projects Lead on Greek national and industry-funded initiatives Contributed to the SOFIE project addressing IoT security via interledger technologies Labs & Teams: Active in the Department of Informatics' research groups, focusing on experimental systems like Dedalus for wireless maritime networking and blockchain-based IoT prototypes.