Projects
System on Chip-based Deep Learning Accelerator for ECG Classification
Using High-level synthesis-based hardware-software codesign workflow to design and implement a convolutional neural accelerator for ECG Arrhythmia Classification using a fully open-source workflow.
Project Funded By: National Grassroot ICT Research Initiative (NGIRI) IGNITE FYP Funding!
Date: July 25, 2022
16-Bit Microprocessor in VHDL
16-bit Microprocessor based on 'Micro-operations' Advanced Microarchitecture. Components include Instruction Decoder, ALU, RAM, Instruction AR, Memory AR, Flag Register, PC, and Data Bus.
Project Funded By: #
Date: January 10, 2022
Single-Cycle, Multicycle & Pipelined RISC-V Processor Design
Datapath design for R-Type, S-Type, I-Type, J-Type Instructions. Controller Design (Main Decoder Design, ALU Decoder Design). RTL Simulation and Test-bench in Verilog. Theory to Implementation.
Project Funded By: Self-funded
Date: December 10, 2021
Hardware Implementation of Pulse Width Modulation
Simulation of Pulse Width Modulation using Simulink, Proteus 8.9 Professional, MATLAB along with hardware implementation.
Project Funded By: Self-funded
Date: September 15, 2021
SQL Injection Detection using Attention-based CNN-BiLSTM via Transfer Learning
Developed a SQL Injection detection system using attention-based CNN-biLSTM via transfer learning, addressing dataset scarcity, promising accurate detection with minimal computational complexity.
Project Funded By: #
Date: March 20, 2021
PID Controller Lead-Lag Compensator Design Comparison Between The Two From The Open Loop Transfer Function From My Roll Number 19L-1318
Performed Root Locus sketching, PID controller design, and Lead-Lag compensator design, comparing the two approaches using MATLAB.
Project Funded By: #
Date: December 01, 2020
Hardware Based PID Controller To Control The Intensity Of Light
Designed PID controller for light intensity control, combining hardware and software (Proteus 8.9 Professional) implementation to simulate observations and achieve accurate results.
Project Funded By: Self-funded
Date: September 15, 2020