CENTER FOR BRAINS, MINDS AND MACHINES SUMMER COURSE
[Harvard-MIT CBMM] An intensive three-week course will give advanced students a “deep end” introduction to the problem of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines.
Head teaching asssitant, 2020-2023
NEURO 140 AND 240: BIOLOGICAL AND ARTIFICIAL INTELLIGENCE
Head teaching assistant, 2020
[Harvard University] This is a seminar-style course which provides a foundational overview of key ideas in Computational Neuroscience and the study of Biological Intelligence. At the same time, the course will connect the study of brains to the blossoming and rapid development of ideas in Artificial Intelligence. Topics covered include the biophysics of computation, neural networks, machine learning, bayesian models, theory of learning, deep convolutional networks, generative adversarial networks, neural coding, control and dynamics of neural activity, applications to brain-machine interfaces, connectomics, among others. Lectures will be taught by leading Harvard experts in the field.
EE4302: ADVANCED CONTROL SYSTEM
Teaching assistant, 2016
[National University of Singapore] This module provides the foundation for a more advanced level control systems course. Topics include system description, controllability, observability, selection of pole locations for good design, observer design, full-order and reduced-order observers, combined control law and observer. It is also a first course in nonlinear systems and control. Topics include non-linearities in control systems, use of root-locus in analysis of non-linear systems, describing function and its use in analysis and design of control systems, non-linear ordinary differential equations, singular points, and phase-plane analysis.