PhD in Business Administration
Han Dai is a fourth-year PhD student in the Lynn Pippenger School of Accountancy.
Her general research interests include topics in auditing, financial accounting, and
accounting information systems. Specifically, her research examines the effect of
corporate reorganization on audit quality, the influence of executives' compensation
mechanisms on firm performance and CEOs' risk-seeking behaviors, and investors' reactions
to iXBRL adoption. She has taught the Principles of Financial Accounting and team-taught
Federal Income Taxation and Accounting Information Systems courses. She has served
as a discussant at the American Accounting Association (AAA) AIS Midyear Meeting.
Prior to entering academia, she earned her MAcc from Texas Tech University and bachelor's
degree from Hubei University of Economics.
Currently a doctoral candidate studying finance, Shaddy Douidar also earned his Masters
of Sciences in Finance at the Kate Tiedemann School of Business and Finance at USF.
Previously, he earned his bachelor’s degree from the Kelley School of Business at
Indiana University (Bloomington). His preferred fields of research include politics
in finance and payout policy. He has presented his research at conferences including
the: Financial Management Association, Southern Finance Association, and Florida Finance
Conference. He has taught the following courses: Principles of Finance, Personal Finance,
and Fundamentals of Business Finance.
Moez Farokhnia is a PhD candidate in the Information Systems and Decision Sciences
Department at USF. He holds a master's degree degree in industrial engineering from
Sharif University of Technology and a bachelor's degree in industrial engineering
from Iran University of Science and Technology. He also has about three years of experience
as supply chain development expert and entrepreneurial activities. His principal research
interests include data analytics and applications of machine learning and operations
research in cyber security and health informatics. His research in cyber security
domain ranges from real-time detection of suspicious activities in EMR systems using
optimal ensembles of anomaly detectors to design of robust models for optimal allocations
of security controls. Toreinforce his research with rigorous causal inferences, he
has also conducted experimental studies on the collaboration of AI and humans in cryptocurrencies
market. Farokhnia uses variety of machine learning tools, operations research methods
and econometrics models in his researches. He has also presented his researches at
various conferences including WITS and WCBA. He also serves as an instructor of business
application development and C# programming at USF.
Arjun’s research focuses on IT at both the individual and organizational levels. At
the individual level, he is interested in understanding consumer behavior on IT platforms.
At an organizational level, his goal is to understand how organizational initiatives
influence performance, productivity, and wages of IT employees. His primary methodological
expertise lies in design and analysis of lab, field and natural experiments and econometric
analysis of archival data. He has presented his research at premier IS conferences
such as ICIS, WISE and HICSS and his dissertation essays have been accepted at AMCIS
and ICIS doctoral consortiums. Arjun has taught four full semester undergraduate courses
in business analytics (e.g., Business Intelligence), and cybersecurity (e.g., Information
Security and IT Risk Management, Business Data Communications) in different classroom
settings (face-to-face and online). In addition to teaching undergraduate courses,
he also has experience in teaching business programming (R, Python, SPSS) workshops
at the graduate level.
Ye Seul Kim
Yeseul Kim is a PhD candidate in marketing at the Muma College of Business. Before joining USF, she earned an MS and BA in Psychology from Korea University. She pursued the USF PhD program to apply what she learned in the discipline of psychology into the marketing area. Her major research topic is sensory marketing. Specifically, she investigates how visual components on websites affect online customer shopping behavior. Another stream of her research is digital marketing. She examines the effect of social media usage on users’ behavior. She teaches digital marketing at the undergraduate level.
Juliana Kralik is a doctoral candidate in the Lynn Pippenger School of Accountancy. She is interested in researching topics related to the auditing profession using qualitative and experimental methods. Specifically, her research examines the impact of the internal control over financial reporting audit on auditor judgement and decision making along with other challenges in the audit work environment and mechanisms to mitigate the challenges. Kralik also earned her bachelor’s and master’s degree in Accounting from USF. She has taught the Principles of Financial and Managerial Accounting courses as well as Accounting Information Systems. Prior to entering academia, she worked as an external auditor at EY in the Tampa Bay area and maintains an active CPA license.
Roohid Ahmed Syed
Raul Villamil-Otero is a doctoral candidate in the Lynn Pippenger School of Accountancy.
His general research interests include topics in auditing and accounting information
systems. Specifically, his research examines team communication’s method, frequency,
and nature and their effect on audit quality. Villamil-Otero is a licensed CPA, earned
an MBA from North Carolina A&T State University and a bachelor’s degree from the University
of Puerto Rico, Mayagϋez Campus.
Hao Wang is a PhD candidate in marketing at the University of South Florida (USF).
His research interests focus on selling and sales management. He has interests in
empirically accessing managerially oriented research on issues related to salesforce
effectiveness and/or digital marketing. His paper has been conditionally accepted
to the Journal of the Academy of Marketing Science (FT50). He has also published research
in the Journal of Personal Selling & Sales Management. His research has been selected
as a finalist for the 2021 James M. Comer Award for the Best Contribution to Selling
and Sales Management Theory. One of his dissertation essays received the Best Doctoral
Paper Award at the National Conference in Sales Management 2021. He presented his
research at major academic conferences such as the American Marketing Association
Conference, and the Academy of Management Annual Meeting. He also taught marketing
research and will teach digital marketing at USF.
Yimei Zhang is a doctoral candidate in the Lynn Pippenger School of Accountancy. Her
research interests are in the intersection of financial/auditing and accounting information
systems. Specifically, she is interested in (1) examining how auditors and capital
market participants are impacted by various technology-related items, such as cybersecurity,
inline XBRL, and ERP systems, and (2) analyzing textual information in financial disclosures
by utilizing her unique skills, such as web scraping for innovative datasets and using
machine learning as a new research method. One of her projects is being revised for
resubmission at IJAIS, and another project is currently under review at JIS. Yimei
has presented her papers at the AAA annual meeting and AIS midyear meeting. She has
taught Accounting Information Systems and the Principles of Financial Accounting courses