Masters student at Cornell University
studying Electrical and Computer Engineering.

Immanuel bridges the gap between hardware and software. He has worked as a Systems and Embedded Engineer in the EV sector (Sun Mobility) and served as the Vice Captain of Team Assailing Falcons, an SAE Aerodesign student team ranked 3rd worldwide.

Immanuel Varghese Koshy
15 PROJECTS
7+ PATENTS
2 PUBLICATIONS
6+ AWARDS

Philosophy: The Art of Co-Design

"I believe the future belongs to Hardware-Software Co-Design. Real performance isn't found in code alone or in silicon alone — it lives in the handshake between them. Whether designing architectures for heavy EVs or optimizing FPGA logic, I'm driven by making atoms and bits move as one. This is my love letter to engineering: building sustainable systems where intelligence survives the real world."

Current Status

Active

Graduate Teaching and Research Specialist

ECE 5760: Advanced Microcontroller Design & SOC

FPGA Hardware Acceleration
Active

Graduate Teaching and Research Specialist

ECE 2100: Intro to Circuits for ECE

Circuits Lab Instruction

ECE 5160: Fast Robots Progress

Lab 1 | Feb 2026

Microcontroller Basics & Artemis

Setting up the Artemis board and establishing BLE communication.

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Lab 2 | Feb 2026

IMU Setup

Integrating the IMU sensor for motion tracking and orientation.

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Lab 3 | Feb 2026

Sensors and Parallel Execution

Time-of-Flight sensor integration and non-blocking parallel execution.

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Lab 4 | March 2026

Motors & Open Loop Control

Changing from manual to untethered open loop control using Artemis and dual motor drivers.

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Lab 5 | March 2026

Linear PID Control & Interpolation

Closed-loop PID controller driving the robot to 304mm from a wall using ToF feedback, extrapolation, and wind-up protection.

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Lab 6 | March 2026

Orientation Control

DMP-based yaw PID controller with derivative kick suppression, low-pass filtering, and integral anti-windup.

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Lab 7 | March 2026

Kalman Filter

Physics-based Kalman Filter replacing linear extrapolation, running at 204 Hz — 7.2× faster than the ToF sensor update rate.

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