Projects
Noise Reduction of RPC Detector Signals Using FIR and IIR Butterworth Filters
Digital signal processing of amplified RPC detector signals using FIR and IIR Butterworth filtering techniques
Project Summary:
- Addressed the problem of noise contamination in amplified RPC (Resistive Plate Chamber) detector signals by applying digital signal processing techniques.
- Designed and implemented FIR and IIR Butterworth filters in MATLAB to suppress noise while preserving the underlying signal characteristics.
- Analyzed frequency-domain and time-domain behavior to compare filter performance and stability.
- Optimized filter parameters such as cutoff frequency and filter order to achieve effective noise reduction without signal distortion.
- Demonstrates expertise in DSP, filter design, numerical analysis, and practical signal conditioning for experimental detector systems.
Real-Time Unity–Flask Web Server Interface for Interactive Applications
Designing a Python Flask backend to enable real-time communication between Unity clients and web-based services
Project Summary:
- Designed and implemented a lightweight Flask-based web server to enable real-time communication between Unity applications and backend services.
- Addressed the challenge of integrating interactive 3D/Unity clients with Python-based data processing and control logic through RESTful APIs.
- Built scalable and modular API endpoints to handle requests, responses, and data exchange between Unity and the server.
- Applied backend development best practices using Python and Flask, focusing on reliability, simplicity, and extensibility.
- Demonstrates expertise in API design, client–server architecture, and real-time system integration for interactive and visualization-driven applications.
