Dr. Lokanan is a recognized interdisciplinary-trained machine learning expert in Canada, with a well-documented history of developing impactful AI-driven solutions across various industries.
He specializes in developing and implementing predictive algorithms across various fields, including fraud detection, anti-money laundering compliance, and forecasting.
Dr. Lokanan's expertise in deep learning models allows him to perform sentiment analysis on large volumes of textual data, helping organizations extract valuable insights from unstructured information.
His skills in AI-driven solutions position him as a leading expert, consistently delivering innovative, data-driven strategies to solve critical business challenges.
Visit Dr. Lokanan's Google Scholar profile for a list of publications.
Experience
Dr. Mark Lokanan is a data scientist and machine learning expert with more than two decades of experience in financial crime research and advisory. His multidisciplinary background spans law, accounting, criminology, sociology, statistics and computer science.
His work applies AI and advanced analytics to fraud detection, regulatory and anti-money laundering compliance, real estate price prediction, HR and marketing analytics, predictive maintenance, loan defaults and supply chain fraud detection.
Dr. Lokanan has taught and worked at institutions in the United States, the United Kingdom and Canada. Before beginning his academic career, he served as a fraud investigator for the Ministry of the Attorney General in Ontario, where he managed complex projects and investigations. He is also a Senior AI Engineer and Machine Learning Strategist at Vedia Cloud Analytics, an AI company conducting research and innovation in data analytics and artificial intelligence with industry and government institutions.
Memberships and Committees
- CFE
- CAMS
- CPA
Education
N.D.
Ph.D, Fraud Analytics
Simon Fraser University
N.D.
Doctoral Admission Offer (Declined)
University of Cambridge
N.D.
MA, Sociology (Statistics)
University of Guelph
N.D.
MSc, Computer Science (Applied Data Science)
Dublin
N.D.
MSc, Criminology (Network, Graph and Link Analysis)
San Diego
N.D.
MSc, Forensic Accounting (Statistics Data Modelling)
Portsmouth
N.D.
BA Sociology & Law
York University
N.D.
Graduate Certificate, Deep Learning for AI
Carnegie Mellon University, School of Computer Science
N.D.
Graduate Certificate, Artificial Intelligence
University of Texas
N.D.
Certificate, Artificial Intelligence Application
Northwestern University
N.D.
Certificate, Machine Learning
Massachusetts Institute of Technology (MIT)
N.D.
Certificate, Data Science
Emeritus Institute of Management
N.D.
Certificate, Microsoft Azure -Generative AI
Microsoft
N.D.
Certificate, Data Analysis
Microsoft
N.D.
Certificate, Cyber Security and AI Strategy
Cornell
N.D.
Certificate, Python for Machine Learning
New York Academy
N.D.
Professional Certificate, Machine Learning
IBM
N.D.
Advanced Certificate in Accounting
McMaster University
N.D.
Advanced Certificate, Forensic Accounting
BCIT
Research
Research interest
Business analyst
Data science
Machine learning
