Mark Lokanan

Associate professor, Intellectual lead, Accounting

Business

Dr. Lokanan is a highly skilled data scientist and machine learning specialist with a proven track record in AI-driven solutions. Leveraging cutting-edge AI techniques, he develops and deploys predictive algorithms across diverse domains, including fraud detection, anti-money laundering compliance, and other forecasting tasks. 

Dr. Lokanan excels at harnessing the power of deep learning models to perform sentiment analysis on large volumes of textual data, enabling organizations to gain valuable insights from unstructured information. His proficiency in AI-driven solutions positions him as a leading expert in the field, consistently delivering innovative and data-driven strategies to solve critical business problems.

Experience

Dr. Lokanan, with over a decade of experience, is a seasoned expert in financial crime research and advisory. His AI-driven approach as a data scientist and machine learning engineer delves into fraud, regulatory, and anti-money laundering compliance.

He's also the founder of Vedia Cloud Analytics (www.vedia.ca), an AI company leading research and innovation in data analytics and artificial intelligence with both industry and government institutions.

Visit Dr. Lokanan's Google Scholar profile for a list of publications.

Memberships and Committees
  • CFE
  • CAMS
  • CPA

Education

N.D.
Ph.D. Accounting for Financial Crimes with Analytics

Simon Fraser University

N.D.
MA Sociology with Statistics

University of Guelph

N.D.
MSc Computer Science (Applied Data Science)

Dublin

N.D.
MCA Financial Crimes

University of San Diego

N.D.
MSc Forensic Accounting

Portsmouth

N.D.
BA in Sociology & Law

York University

N.D.
Advanced Certificate in Accounting

McMaster University

N.D.
Post Graduate Certificate, Artificial Intelligence

University of Texas

N.D.
Certificate, Data Science & Machine Learning

MIT

N.D.
Certificate, Data Analyst

Springboard/Microsoft

N.D.
Professional Certificate, Machine Learning

IBM

N.D.
Advanced Certificate, Forensic Accounting

BCIT

Research

Research interest

Business analyst

Data science

Machine learning

Publications

Lokanan, M.E., & Liu, S. (2020). The demographic profile of victims of investment fraud: An Update. Journal of Financial Crime. https://doi.org/10.1108/JFC-09-2020-0191

Lokanan, M.E., & Aujla, I. (2020). Mapping the Individual and Structural Theories of Financial Crimes. Journal of Financial Crime. https://www.emerald.com/insight/1359-0790.htm

Lokanan, M.E. (2020). Primark: A case study of Progress. Sage Business Cases.

Sharma, K. & Lokanan, M. E. (2021). Self-regulation in the Canadian Investment Industry: Has Anything Changed after the Inception of IIROC. International Journal of Public Administration.

Nasimi, N.,  & Lokanan, M.E. (2020). The effectiveness of Anti-Money Laundering policies and procedures within the Banking Sector in Bahrain. Journal of Money Laundering Control. https://doi.org/10.1108/JMLC-10-2019-0080

Braganza, E. & Lokanan, M. (2020). Testing for financial distress in the Canadian Telecommunication industry amidst the launch of Fifth Generation (5G) technology: A case study on Rogers, Telus and Bell. Sage Business Cases

Lokanan, M.E. (2019). An update on self-regulation in the Canadian securities industry (2009-2016):  funnel in, funnel out, and funnel away. Journal of Financial Regulation and Compliance, 27(3), 324-344.

Lokanan, M.E. (2019). A Fraud Investigation Plan for a False Accounting and Theft Case. Journal of Financial Crime, https://doi.org/10.1108/JFC-09-2017-0086

Lokanan, M.E. (2019). Methodological Problems with Big Data When Conducting Financial Crime Research. SAGE Research Methods Cases Politics & International Relations, http://dx.doi.org/10.4135/9781526469250

Lokanan, M. (2019), "The Banks and Market Manipulation: A Financial Strain Analysis of the Libor Fraud", Lehman, C. (Ed.) Beyond Perceptions, Crafting Meaning (Advances in Public Interest Accounting, Vol. 21), Emerald Publishing Limited, pp. 73-103. https://doi.org/10.1108/S1041-706020190000021004

Lokanan, M.E. (2019). Data Mining for Statistical Analysis of Money Laundering Transactions. Journal of Money Laundering Control. https://doi.org/10.1108/JMLC-03-2019-0024.

Tran, V., Lokanan, M., & Hoai Nam, V. (2019). Detecting Anomalies in Financial Statements Using Machine Learning Algorithm: The Case of Vietnamese Listed Firms. Asian Journal of Accounting Research, https://doi.org/10.1108/AJAR-09-2018-0032 .

Whisker, J., & Lokanan, M.E. (2019). Anti-money laundering and counter-terrorist financing threats posed by mobile Money. Journal of Money Laundering Control. https://doi.org/10.1108/JMLC-10-2017-0061.

Lokanan, M.E. (2018). The Application of Cognitive Interviews to Financial Crimes. Journal of Financial Crimes, 25 (3), 882-890.

Lokanan, M.E. (2018). Auditors’ Liability and Investors’ Protection in Canada: The ‘Leaky Umbrella’, Journal of Accounting and Auditing: Research & Practice,  DOI: 10.5171/2018.722196

Lokanan M. E.  (2018) Comparative and Development Public Administration and Policy. In: Farazmand A. (eds) Global Encyclopedia of Public Administration, Public Policy, and Governance. Springer, Cham, https://doi.org/10.1007/978-3-319-31816-5_1196-1

Lokanan, M.E. (2018). Informing the Fraud Triangle: Insights from Differential Association Theory . Journal of Theoretical Accounting Research, 14(1), 55-98.

Lokanan, M.E., & Sharma, S. (2018). A Fraud Triangle Analysis of the Libor Fraud.  Journal of Forensic and Investigative   Accounting, 10(2), 187-212.

Combs-Goodfellow, B., & Lokanan, M.E. (2018).  Anti money laundering and moral intensity in suspicious activity reporting: an application of Jones’ issue contingent model, Journal of Money Laundering Control,  21 (4), 520-533.

Lokanan, M.E. (2017). Self-regulation and compliance enforcement practices by the Investment Dealers Association in Canada: 1984 to 2008.  Journal of Financial Regulation and Compliance, 25(1), 2 – 21.

Carlin, A., & Lokanan, M.E. (2017). Ritualisation and Money Laundering in the Swiss Banking Sector. The Journal of Money Laundering and Control, https://doi.org/10.1108/JMLC-04-2017-0013

Robinson, S. & Lokanan, M.E. (2017). Testing for Impression Management in Creative Accounting: A Case of the Automobile Industry.  Journal of Forensic and Investigative Accounting, 9(2), 962-978.

Lokanan, M.E. (2017).  Regulatory Capture of Regulators: The case of the Investment Dealers Association of Canada. International Journal of Public Administration. DOI: 10.1080/01900692.2017.1385623

Lokanan, M. E. (2017). Theorizing Financial Crimes as Moral Actions, European Accounting Review, DOI: 10.1080/09638180.2017.1417144

Lokanan, M.E. (2015). Self-Regulation in the Canadian Securities Industry: Funnel In, Funnel Out, or Funnel Away? International Journal of Law, Crime and Justice, 43(4), 456-480.

Lokanan, M.E. (2015). Challenges to the Fraud Triangle: Questions on its Usefulness. Accounting Forum, 39(3), 201-224.

Lokanan, M.E. (2015). Securities Regulation: Opportunities Exist for IIROC to Regulate Responsively. Administration and Society, doi: 10.1177/0095399715584637

Lokanan, M. E. (2014).  The Investment Dealers Association of Canada’s Enforcement Record: Are Penalties “Grossly Inadequate”?  Journal of Financial Regulation and Compliance, 22(3): 235-251.

Lokanan, M.E. (2014). How Senior Managers Perpetuate Accounting Fraud?  Lessons for Fraud Examiners from an Instructional Case. The Journal of Financial Crime, 21(4): 411-423.

Lokanan, M.E. (2014). The Demographic Profile of Victims of Investment Fraud: A Canadian Perspective. The Journal of Financial Crime, 21(2): 226-242.

Lokanan, M. E. (Forthcoming). Namasté Solar Approach to Corporate Sustainability: Is it Sustainable?   Sage Business Cases.

Lokanan, M. E. (2009).  An Open Model of Restorative Justice: Is there room for punishment? Contemporary Justice Review, Vol. 3, 12, pp. 289-307.

Lokanan, M. E.  & Singh, G. (2005) ‘Shame, shame, shame: not on you, but what you have done’, International Journal of Management and Decision Making, Vol. 6, 3/4, pp.334–344.