Debobrata Chakraborty
Hello, I'm Debobrata Chakraborty. I am a Lecturer at the Department of Computer Science & Engineering, City University, Bangladesh. My research focuses on 3D point clouds, LiDAR, Spatial Data Analysis, Computer Vision, Causal AI and Explainable AI (XAI). I have published peer-reviewed research articles in journal and IEEE conference proceedings, and has several other manuscripts under review. I'm always open to research collaborations, academic discussions, and project partnerships.
Education
M.Sc. in Software Engineering
CGPA: 3.67/4.00
Thesis: "Segmentation of LiDAR Point Cloud Data in Urban Areas Using Adaptive Neighborhood Selection Technique"
Specialization: Point Cloud & 3D Computer Vision
B.Sc. in Computer Engineering
CGPA: 3.74/4.00
Capstone Project: "Deep Learning-Based Prediction of Football Players' Performance During Penalty Shootout"
Higher Secondary School Certificate (Science)
GPA: 4.75/5.00
Secondary School Certificate (Science)
GPA: 5.00/5.00
Work Experience
Lecturer, Dept. of Computer Science & Engineering
Deliver undergraduate lectures, lab sessions, supervise student projects, and provide academic advising. Implement Outcome-Based Education (OBE) by designing CO–PO aligned assessments and rubrics, evaluating outcome attainment.
Jr. Embedded System Engineer, Research & Development
Developed and tested a Flutter-based mobile application for IoT devices, enabling seamless device–app data communication.
Machine Learning Engineer (Intern)
Implemented Bangla image captioning and image similarity solutions.
Research Experience & Interests
3D Vision & Remote Sensing Lab
Institute of Information Technology, University of Dhaka
Funding Agency: University Grants Commission (UGC), Bangladesh
Project Title: PH-Shape Descriptor-Based Building Roof Extraction from Airborne LiDAR Point Clouds
Awards & Honors
Master's Fellowship Grant
Vice-Chancellor Award
Dean's Award for Best Capstone Project
Dean's Award
Selected Publications
Segmentation of LiDAR Point Cloud Data in Urban Areas using Adaptive Neighborhood
Debobrata Chakraborty & Emon Kumar Dey; PLOS One, Vol. 19, Issue. 7 Pages. e0307138. Impact Factor: 2.87.
Deep Learning-Based Prediction of Football Player Performance During Penalty Shootout
Debobrata Chakraborty, Mehedi Mahmud Kaushik, Shartaz Khan Akash, Md. Saniat Rahman Zishan & Md. S. Mahmud; 26th International Conference on Computer and Information Technology (ICCIT).
Action Recognition Based Real-time Bangla Sign Language Detection and Sentence Formation
Shartaz Khan Akash, Debobrata Chakraborty, Mehedi Mahmud Kaushik, Barsan Saha Babu, & Md. Saniat Rahman Zishan; 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST).
Courses Taught
Spring 2026
Fall 2025
Selected Projects
RoverAIUB: Six-Wheeled Rover
RoverAIUB is a six-wheeled rover designed for both manual and autonomous operation, featuring computer vision for object detection and LiDAR-based autonomous navigation.
Supervisor: Dr. Chowdhury Akram Hossain
Files Pathao: Encrypted File Sharing Tool
A file sharing system developed in Node.js that uses AES encryption to ensure reliable file transfers over network sockets.
Supervisor: Dr. B M Mainul Hossain