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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

talks

teaching

Circuits as Systems

Undergraduate course, University of Colorado Boulder, Department of Electrical Engineering, 2019

Introduces linear circuit analysis and design, including OP-Amps. Presents DC networks, including node and mesh analysis with controlled sources. Analysis of RL and RC circuits for both transient and sinusoidal steady-state responses using phasors. Laplace transform techniques, transfer functions, frequency response, Bode diagrams, resonant circuits, Fourier series expansions, and convolution.

Circuits as Systems

Undergraduate course, University of Colorado Boulder, Department of Electrical Engineering, 2020

Introduces linear circuit analysis and design, including OP-Amps. Presents DC networks, including node and mesh analysis with controlled sources. Analysis of RL and RC circuits for both transient and sinusoidal steady-state responses using phasors. Laplace transform techniques, transfer functions, frequency response, Bode diagrams, resonant circuits, Fourier series expansions, and convolution.

Computer Organization

Undergraduate course, University of Colorado Boulder, Department of Electrical Engineering, 2020

Studies computer design at the microarchitecture level. Discusses instruction set architecture design, arithmetic and logic unit design, control logic, memory design and caches, simple pipelining, I/O and peripheral devices. Briefly covers aspects of modern computer architecture, such as multicore processors and hardware security.

Computer Organization

Undergraduate course, University of Colorado Boulder, Department of Electrical Engineering, 2021

Studies computer design at the microarchitecture level. Discusses instruction set architecture design, arithmetic and logic unit design, control logic, memory design and caches, simple pipelining, I/O and peripheral devices. Briefly covers aspects of modern computer architecture, such as multicore processors and hardware security.

IoT-Intelligent & Connected Systems

Graduate course, Columbia University, Department of Electrical Engineering, 2021

This course equips students with key insights into the evolving fields of cyber-physical systems and the Internet of Things (IoT). Covering a broad range of topics, the course features guest lectures from experts and culminates in a hands-on group project where students build a functional IoT system.

An Introduction to Blockchain Technology

Graduate course, Columbia University, Department of Electrical Engineering, 2022

This course covers blockchain fundamentals to advanced topics, including Bitcoin, Ethereum, smart contracts, DeFi, and NFTs. Students will gain a comprehensive understanding of blockchain’s wide-ranging applications and industry impact.

Reinforcement Learning in Information Systems

Graduate course, Columbia University, Department of Electrical Engineering, 2022

Reinforcement learning is a powerful tool for learning and sequential decision making, and it is relevant in an enormous range of applications, including robotics, game playing, consumer modeling and healthcare. This class will provide a solid introduction to the field of reinforcement learning and students will learn about the core challenges and approaches, including generalization and exploration. It uses a combination of lectures, and written and coding assignments, to teach key ideas and techniques for RL. The applications in Information systems (video streaming, scheduling, etc) are discussed through lectures and project.

An Introduction to Blockchain Technology

Graduate course, Columbia University, Department of Electrical Engineering, 2023

This course covers blockchain fundamentals to advanced topics, including Bitcoin, Ethereum, smart contracts, DeFi, and NFTs. Students will gain a comprehensive understanding of blockchain’s wide-ranging applications and industry impact.