Teaching and Mentorship

Course Instructor

• ELE 202 — Electric Circuit Analysis, Toronto Metropolitan University, Winter 2025.

Course Graduate Assistant · Toronto Metropolitan University

• MTH 410 — Statistics, Winter 2026.
• MTH 380 — Probability and Statistics I, Fall and Winter 2023.
• MTH 312 — Differential Equations and Vector Calculus, Fall 2024.
• MTH 110 — Discrete Mathematics I, Fall 2024.
• ELE 504 — Electronic Circuits II, Fall 2024.
• ELE 404 — Electronic Circuits I, 2022–2026.
• ELE 302 — Electric Network, 2021–2025.
• ELE 202 — Electric Circuit Analysis, 2022–2026.

Course Graduate Assistant · University of Tehran

• Electronics III, Fall 2018.
• Electronics II, 2018–2019.
• Data Converters, Spring 2019.

Research Mentorship

• Rushendra Sidibomma — Assisted with research supervision during his 2023 Mitacs Globalink internship at the Trustworthy AI Lab and continued collaborating through 2025 on certified robustness and scalable, cascading neural-network verification. Coauthor of a paper published at SaTML 2026; also collaborating on a manuscript planned for submission to AISTATS 2027.
• Daniel Sadig — Assisted with supervision of his M.A.Sc. research in Computer Engineering at Toronto Metropolitan University on machine-learning robustness and probabilistic certified robustness. Coauthor of a paper published at Canadian AI 2026 and the CoRe-CROWN manuscript under review at AAAI 2027; also collaborating on a manuscript planned for submission to AISTATS 2027. Graduated in Summer 2026.
• Hao Luo — Assisted with supervision of his M.Eng. research in Computer Engineering at Toronto Metropolitan University on machine-learning robustness and certified robustness; graduated in 2024.