I am currently working as a Research Assistant at the Institute of Information Technology, University of Dhaka (DU), under the supervision of Dr. Emon Kumar Dey. I completed my Master's in Software Engineering at DU and received a fellowship grant from the ICT Ministry of Bangladesh for my thesis. Prior to that, I completed my Bachelor of Science in Computer Engineering from the American International University Bangladesh. My research interests lie in computer vision, machine learning, and deep learning, with a particular focus on point cloud segmentation, human activity recognition, and object detection. Before starting my master's, I worked as an Embedded Systems Engineer at STATA IT Limited and as a Machine Learning Intern at Pioneer Alpha. I am passionate about developing complex applications that address real-world problems and make a significant impact on millions of users.

This research proposes a suitable adaptive neighborhood selection approach for individual points by considering the complex and heterogeneous nature of input LiDAR point cloud data.

Developed a computer vision model, a manual driving control system, and GPS compass-based autonomous navigation of the Rover.

It is designed to allow seamless sharing of files from a sender(server) to a receiver(client). The implementation uses Node.js, Express, Socket.IO, Crypto web API and Ngrok to facilitate real time communication between the sender and the receiver.

A video communication platform that allows users to make voice and video calls.

A deep learning-based prediction model is used in this project to predict the performance of football players during penalty shootouts.

A custom Bangla Sign Language dataset was created, and a Long Short-Term Memory (LSTM) network was used to train a model to identify the sign language body posture sequences.