Teaching & Mentoring
Our Teaching Philosophy
Advanced personalized learning is listed at the top of the fourteen Grand Challenges in the 21st century by the National Academy of Engineering. The scientific reason behind it is that learning styles, speeds, and interests all vary from individual to individual. This challenge is particularly significant for engineering – our students are trained to define a problem from a real-world observation, identify the underlying physics, simplify and solve the problem, and explain the observation using the solution – each of these actions can be performed in numerous correct ways which will depend on student preference and personality. Therefore, the core of my teaching philosophy is student-oriented instruction to realize personalized learning.
Current Courses
Scientific Machine Learning for Mechanical Engineers, graduate level, Northeastern University, 2024 Fall
ME 3455 Dynamics and Vibrations, undergraduate level, Northeastern University, 2023 Spring
Photo credit: Wikipedia
Structure of our course