Teaching & Talks
Sharing the Work Beyond the Lab
Teaching, mentorship and research talks, from first-year classrooms to international conferences.
- Talks & Presentations
- Years Teaching & Mentoring
- Universities: McMaster and GUC
McCall MacBain Fellowship · 2026–2027Competitively selected for the McCall MacBain Teaching & Leadership Program, which develops future academic educators and leaders.
Online Course · Udemy
Production-Grade Deep Learning Pipelines: TFX & Vertex AI
8 Hours of Video · 14 Resources · 2 Articles · Companion Code on GitHub
Teaching Philosophy
How I Teach, and Why It Matters
Research-Informed Teaching
My teaching is directly shaped by active research in ML-powered infrastructure systems. Students engage with live methods — risk modeling, intelligent asset management, geospatial analytics — through real datasets and case studies drawn from ongoing work.
This connection between lab and classroom means students are not learning yesterday’s tools; they are engaging with approaches at the frontier of their field. Graduate mentorship extends this further: students participate in research planning, manuscript development, and scholarly dissemination as co-contributors, not passive observers.
Student Advising & Mentorship
Guiding Students From Inquiry to Contribution
Across McMaster University and GUC, I have advised both undergraduate and graduate students — providing academic guidance, research mentorship, and career development support at every stage, from first-year coursework through to thesis completion and peer-reviewed publication.
Academic Guidance
Supporting undergraduate students in coursework, analytical methods, and problem-solving approaches — building the quantitative and computational foundations needed for advanced study and engineering practice.
Research Planning & Execution
Supervising graduate researchers through the full research lifecycle — problem framing, methodology selection, analytical execution, and interpretation of results — with a focus on rigorous, reproducible practice.
Scholarly Communication
Guiding the preparation of peer-reviewed manuscripts and conference papers — from first draft to submission — helping graduate students develop their research voice and meet the standards of high-impact journals.
Career & Academic Pathways
Advising students at all levels on graduate program pathways, research positioning, and professional development — connecting academic work to long-term career trajectories in research, industry, and engineering practice.
Mentorship OutcomesUndergraduate students mentored into graduate programs; graduate researchers supervised to thesis completion and co-authored journal publications — with junior researchers developed into independent contributors across ML and infrastructure engineering.
Talks & Presentations
Research Shared Across Conferences, Symposia, Seminars and Lectures
Showing 9 talks.
2026
- OctPresentation
Deep Learning-driven Natural Hazard Forecasting
MacPherson Institute, McMaster University · Hamilton, ON · In Person
- Oct
2025
- NovLecture
Crash Course on Machine and Deep Learning
Faculty of Engineering, McMaster University · Hamilton, ON
- Nov
2024
- JunSymposium
Drones for Heavy Cargo Transportation in Modern UFT Networks
Smart Freight Centre Symposium, University of Toronto · Toronto, ON
- MayConference
Investigation of Heavy Cargo Drones for Last-Mile Delivery
Canadian Transportation Research Forum (CTRF) Annual Conference · Kelowna, BC
- AprSeminar
Resilience-Driven Project and Asset Management
Engineering Seminar Series, McMaster University · Hamilton, ON
- Jun
2023
- JunInvited Talk
Drones for Last-Mile Delivery Projects: Current and Future Pathways
Smart Freight Centre, McMaster University · Hamilton, ON
- MaySeminar
Optimizing Canada's Infrastructure Asset Management Decisions
Engineering Seminar Series, McMaster University · Hamilton, ON
- Jun
2022
- MaySeminar
Managing Hyper Risks in a Hyper-Connected World
Engineering Seminar Series, McMaster University · Hamilton, ON
- May
2021
- MaySeminar
Resilience-Driven Infrastructure Project Management
Engineering Seminar Series, McMaster University · Hamilton, ON · Virtual
- May
Let's Build Something That Matters
If you have a decision that depends on predicting risk in a complex system, I'd like to hear about it.