Vic Anand

Assistant Professor of Accountancy and Arthur Andersen Fellowship in Accountancy and Deloitte Scholar

Biography

Assistant Professor of Accountancy Vic Anand has been a member of the Gies accounting faculty since 2017. In 2020, he was named an Arthur Andersen Fellow and has also been honored by the College with recognition as an RC Evans Data Analytics Fellow and a John Deere Analytics Teaching Fellow. His responsibilities include developing and delivering innovative curriculum that provides students with the data science knowledge and skills to become leaders in business analytics. After earning a bachelor’s degree in mechanical engineering from MIT, Vic worked as an engineer and financial analyst at Ford Motor Company. He earned an MBA from Carnegie Mellon and an M.S. and PhD in accounting from Cornell University. In addition to his teaching responsibilities, Vic also conducts research using machine learning to predict changes in company profits.

Contact

206 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

Listings

Educational Background

Ph.D., Accounting, Cornell University, 2014
M.S., Accounting, Cornell University, 2013
M.B.A., Carnegie Mellon University, 2000
S.B., Mechanical Engineering, Massachusetts Institute of Technology, 1995

Positions Held

Assistant Professor of Accountancy, Accountancy, University of Illinois at Urbana-Champaign, 2017-2024
Assistant Professor of Accounting, Emory University, Goizueta Business School, 2012-2017
Senior Analyst, Science Applications International Corporation, 2001-2003
Senior Consultant, Deloitte Consulting, 2000-2001
Financial Analyst, Ford Motor Company, 1997-1998
Manufacturing Engineer, Ford Motor Company, 1995-1997

Recent Publications

Anand, V., Webb, A., & Wong, C. Forthcoming. Mitigating the Demotivating Effects of Frequent Unfavorable Feedback about Goal Progress. Journal of Management Accounting Research. link >
Anand, V., Balakrishnan, R., & Gavirneni, N. (2023). Capacity Planning with Limited Information. Production and Operations Management.

Other Publications

Articles

Anand, V., Bochkay, K., Chychyla, R., & Leone, A. (2020). Using Python for Text Analysis in Accounting Research. Foundations and Trends in Accounting, Now Publishers Inc 14 (3-4), 128-359. link >
Anand, V., Balakrishnan, R., & Labro, E. (2019). A Framework for Conducting Numerical Experiments on Cost System Design. Journal of Management Accounting Research, 31 (1), 41-61.
Anand, V., Brunner, R., Ikegwu, K., & Sougiannis, T. (2019). Predicting profitability using machine learning. Available at SSRN 3466478.
Anand, V., Balakrishnan, R., & Labro, E. (2017). Obtaining Informationally Consistent Decisions When Computing Costs with Limited Information. Production and Operations Management, 26 (2), 211 - 230. link >
Valero-Cuevas, F., Anand, V., Saxena, A., & Lipson, H. (2007). Beyond Parameter Estimation: Extending Biomechanical Modeling by the Explicit Exploration of Model Topology. IEEE Transactions on Biomedical Engineering, 54 (11), 1951-1964.

Conference Proceedings

Anand, V., Lipson, H., & Valero-Cuevas, F. (2005). Blind Inference of Nonlinear Cable Network Topology from Sparse Data. Proceedings of the 2005 Genetic and Evolutionary Computation Conference.
Valero-Cuevas, F., Lipson, H., Santos, V., & Anand, V. (2005). Shifting to Population-Based Models and Inferring Model Structure from Data are Two Directions That Will Enhance the Clinical Usefulness of Modeling. Proceedings of the ISB XXth Congress and ASB 29th Annual Meeting.
Spears, W., & Anand, V. (1991). A Study of Crossover Operators in Genetic Programming. Sixth International Symposium of Methodologies for Intelligent Systems.

Presentations

Anand, V. (2022). Capacity Planning with Limited Information. Emerging Management Accounting Scholars Symposium III, University of Illinois at Urbana-Champaign, Gies, Accountancy.
Anand, V. (2020). Capacity Planning with Limited Information. University of California-Davis Accounting Seminar, University of California-Davis.
Anand, V. (2018). Invited presentation. University of Alberta Accounting Research Conference.
Anand, V. (2016). Invited presentation. Michigan State University.
Anand, V. (2016). Invited presentation. University of Pittsburgh Accounting Seminar.
Anand, V. (2014). Invited presentation. Michigan State University.

Working Papers

Anand, V., Sougiannis, T., & Anand, A. Fundamental Analysis Using Machine Learning.
Anand, V., Sougiannis, T., Brunner, R., & Ikegwu, K. Predicting Profitability Using Machine Learning. link >
Anand, V., Sougiannis, T., & Nikulin, E. Life Cycle Models versus Random Walk in Forecasting Growth and Profitability.
Anand, V. Target Horizons, Uncertainty, and Effort Provision. link >

Honors and Awards

Deloitte Scholar, University of Illinois at Urbana-Champaign, 2023-2024
Arthur Andersen Fellowship, University of Illinois at Urbana-Champaign, 2020-2024
RC Evans Data Analytics Scholar, University of Illinois at Urbana-Champaign, 2022-2023
List of Teachers Ranked as Excellent by Their Students, University of Illinois at Urbana-Champaign, 2018-2022
Innovation in Accounting Education Award, American Accounting Association, 2021
John Deer Analytics Teaching Fellowship in Accountancy, University of Illinois at Urbana-Champaign, Department of Accountancy, 2019-2020

Grants

Gies Grant, Gies College of Business, 2021-2023

Current Courses

Data Analytics Foundations (ACCY 570) Concepts and foundations underlying data analytics for accounting. Provides fundamental knowledge of how to acquire, organize, synthesize and analyze (possibly large) volumes of data to address questions and problems. After completing this course, students should (1) have a foundational understanding of the techniques underlying data analytics, (2) recognize scenarios and identify appropriate tools for various types of data analysis and (3) use Python and Tableau to perform data analysis.