Research & Projects
Below you’ll find a selection of my current research activities and projects. These works illustrate my interests in AI hardware, VLSI design and embedded systems.
Edge AI: ANN Hardware Accelerator
Developing a general‑purpose hardware accelerator to perform artificial neural network inference on resource‑constrained microcontrollers. The ASIC integrates parallel multiplication and accumulation units with on‑chip memory to support a variety of architectures and datasets (MNIST, Fashion MNIST, CIFAR‑10/100).
Tools: RTL, ModelSim, FPGA, MATLAB, SPI, Microcontrollers, Machine Learning, ANN, CNN, Edge computing
Efficient Floating‑Point Arithmetic Unit
Designing a novel floating‑point multiplier and adder using logarithmic arithmetic to reduce cycle count, power and area. Early results show less than 1 % accuracy loss when tested on neural network datasets, despite significant efficiency gains.
Tools: Logarithmic Math, Cadence Virtuoso, MATLAB, Simulation
Human Detection Robot with Voice & Gesture Control
Undergraduate thesis project exploring an AI‑enabled personal assistant robot built on a Raspberry Pi. The robot communicates via Wi‑Fi and responds to voice commands, gestures and direct control. Potential applications include home assistance and healthcare.
Tools: TensorFlow, Raspberry Pi, Machine Learning
Motor Driver & Avionic Systems
Designed a high‑performance motor driver and charger unit for Team Red‑X’s electric vehicle at Technofest 2022. Also developed an avionic system for a model rocket as part of the AUST Rocketry challenge. Both projects required tight integration of power electronics and embedded control.
Tools: Proteus, Arduino IDE, Embedded systems