Tony S. Wirjanto
Scholar

Tony S. Wirjanto

Google Scholar ID: Rt3jpBUAAAAJ
Department of Statistics & Actuarial Science, University of Waterloo
Financial Econometrics/Time SeriesFinancial MathematicsComputational Finance
Citations & Impact
All-time
Citations
1,197
 
H-index
16
 
i10-index
25
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Since 2020, he has published multiple papers in various fields such as 'Multiplex Graph Prompt Collaboration for Open-set Social Event Detection' (2025, Expert Systems with Applications), and contributed to research on topics like open-set graph class-incremental learning, time series anomaly detection, etc.
Research Experience
  • No specific research experience or positions mentioned.
Education
  • Trained as an econometrician from Queen’s University at Kingston. Currently, he is a full professor at the School of Accounting & Finance of the Faculty of Arts and cross-appointed as a full professor to the Cheriton School of Computer Science of the Faculty of Mathematics.
Background
  • Research interests include: (i) AI & Deep Learning in Cybersecurity, (ii) Climate Change, Climate Finance & Climate Risk, (iii) Computational Finance & Quantitative Finance, (iv) Portfolio Optimization in Finance, and (v) Time Series & Functional Time Series with Financial Applications.
Miscellany
  • No information provided about personal interests or hobbies.
Co-authors
0 total
Co-authors: 0 (list not available)