Fevereiro 5, 2024
Opening Ceremony | Cerimonia de Abertura – 20th CONTECSI
| 10:20
Opening Ceremony | Cerimonia de Abertura – 20th CONTECSI
Prof . Dr. Edson Luiz Riccio
Chair 20th CONTECSI
Profa. Dra. Maria Dolores Montoya Diaz - Dean FEA USP - Diretora FEA USP
FEA - Universidade de Sao Paulo - USP
Prof. Dr. José Alfredo Ferreira da Costa
Universidade Federal do Rio Grande do Norte
Prof. Dr. Marcus Vinicius Branco de Souza
Prof. Dr. Jacir Favretto
Universidade do Contestado UNC, UNIPLAC, UNESC E UNIVILLE
Fevereiro 5, 2024
INTERNATIONAL PANEL - Application of Outlier Detection Methods in Audit Analytics
| 12:45
INTERNATIONAL PANEL - Application of Outlier Detection Methods in Audit Analytics
Moderator|Moderador : Prof. Dr Edson Luiz Riccio
Dr. Miklos A. Vasarhelyi
Miklos A. Vasarhelyi [Ph.D in MIS (UCLA) MBA (MIT) and BS in Economics and Electrical Engineering (the State University of Guanabara and Catholic University of Rio de Janeiro)]. Professor Vasarhelyi is currently the KPMG Distinguished Professor of Accounting Information Systems and Director of the Rutgers Accounting Research Center (RARC) & Continuous Auditing and Reporting Laboratory (CARLAB) at Rutgers University. He has published more than 300 journal articles, 25 books, and directed over 60 PhD theses. He is the editor of the Artificial Intelligence in Accounting and Auditing series and the co-editor of the Journal of Emerging Technologies in Accounting and in the International Journal or Digital Accounting.. Professor Vasarhelyi is credited with the original continuous audit application and as the leading researcher in this field. The CAR Lab’s projects include among others AICPA’s Radar, Siemens, KPMG, P&G, AICPA, CA Technologies, and Itau-Unibanco. Prof. Vasarhelyi has been awarded the Outstanding Educator of the year by the AAA in 2014, AICPA distinguished scholar in 2018, notable contributions to the accounting literature in 2021, and the Wasserman award by ISACA in 2013. His current work includes continuous prediction and intervention expansions on the CA schema, blockchain, smart contracts, process mining, and several machine learning projects.

OPENING REMARKS | 10:45 - 11:05

Hanchi Gu
Hanchi Gu is a Ph.D. candidate in Accounting Information System (AIS) program at Rutgers Business School. His primary research interest lies in the application of machine learning to accounting and auditing. At present, he is exploring the use of Large Language Model (LLM), Outlier Detection (OD), Deep Learning (DL), and Explainable Artificial Intelligence (XAI) with a specific focus on their potential roles in enhancing the work of accountants and auditors.
Qing Huang
Ph.D. Candidate in Accounting & Information Systems Rutgers Business School-Newark and New Brunswick Rutgers University Before becoming a Ph.D. student at Rutgers University, Qing worked for the State Administration of Taxation, China for six years. She also holds the CPA certificate of China (Inactive). Her research interests include continuous auditing, audit analytics, outlier detection, graph neural network, machine learning, and fraud detection.
Hanxin Hu
Hanxin Hu is currently a fifth-year Ph.D. student in the Accounting Information System department at the Rutgers Business School. She holds a bachelor’s in finance from the Southwestern University of Finance and Economics, China (2019). Hu\'s research interest includes applying Machine learning & Natural Language Processing techniques to accounting and auditing domains.