Real-Time Recyclable Waste Classifier

An AI-powered real-time waste sorting system that uses deep learning and embedded platforms to improve recycling efficiency and sustainability in resource-limited environments.

An 8-bit asynchronous multiplier designed for high speed, reliability, and accuracy, featuring a 16-bit output architecture for overflow prevention and optimized for real-world high-performance electronic systems.

8 Bit Asynchronous Multiplier

Investigating the Scaling Effects on SRAM Data Retention Voltage

A study on how technology scaling affects SRAM data retention voltage (DRV), combining analytical modeling and circuit-level simulations to optimize leakage power reduction in low-power VLSI systems.

Undergraduate Thesis

Joint Transmission Coordinated Multipoint (JT-CoMP) on Mobile Users in 5G Heterogeneous Networks

This project investigated how Joint Transmission Coordinated Multipoint (JT-CoMP) with Closed Loop Spatial Multiplexing (CLSM) can improve throughput, spectral efficiency, and cell-edge performance in 5G heterogeneous networks. Using simulations, it compared intra-site and inter-site CoMP across different user velocities to address interference and mobility challenges.