Projects
academic, research, and software works.
SPARK Adversarial Safety
Jan 2026 – May 2026
Stress-testing SPARK humanoid safety filters under adversarial simulation conditions, including noise, latency, and crowding robustness tests.
Label Aggregation Algorithm
Jan 2026 – May 2026
A Python-based project related to label aggregation and algorithmic decision support.
VeilPIR
Dec 2024 – July 2025
Implementation of VeilPIR, a lightweight private information retrieval protocol for IoT. The project uses homomorphic encryption ideas to support privacy-preserving queries in resource-limited environments.
Cloud-Based To-Do List App
Aug 2024 – Oct 2024
Firebase Authentication, Firestore, Firebase Hosting, HTML, CSS, and JavaScript.
A cloud-based web application for managing to-do tasks with user authentication and real-time data storage using Firebase services.
CS609 Advanced Programming Languages
In-class coursework materials for CS609
Digital Food Restaurant
Feb 2021 – May 2021
Servlet, MySQL, MVC Architecture, Tomcat, Eclipse, Xampp, CSS, and JSP.
A web-based restaurant management application developed using Java servlet technologies and MVC architecture, with database-backed ordering and management features.
Hospital Appointment Management System
Oct 2019 – Jan 2020
PHP, MySQL, Database, HTML, Xampp, Web API, and Dr. Java.
A database-backed hospital appointment management system for organizing patient appointments and supporting basic healthcare scheduling workflows.
Calculator with MVC Pattern
Oct 2019 – Jan 2020
Python, MVC Framework, NetBeans, Android Studio, and XML.
A calculator application designed using the Model-View-Controller pattern to separate interface, logic, and control flow.
Line Follower Autonomous BOT
Feb 2026 – Apr 2018
Arduino UNO, IR Sensor, and L298 Motor Driver.
An autonomous line-following robot developed for Technival at KUET using embedded hardware components and sensor-based navigation.
Smart Transportation System
Sept 2019 – Dec 2019
Computer Vision, Machine Learning, OpenCV, Image Processing, and Python.
A smart transportation project using computer vision and machine learning methods for image-based transportation analysis.