Md Abdullah Al Mazid

PhD Candidate • Research Assistant

High Performance Database Research Center

Florida International University

Biography

Looking for research scientist/SWE internship opportunities for Summer 2026! Feel free to connect with me via email (mazid.rafee@gmail.com).

I am a Ph.D. candidate (4th Year) in Computer Science at Florida International University, conducting projects and research on computer vision, environmental intelligence, remote sensing, and geospatial analytics (GIS) at the High Performance Database Research Center (HPDRC) under Dr. Naphtali Rishe. My work focuses on developing deep learning and vision-based frameworks for spatio-temporal analysis for Earth observation and environmental research.

Fan of LOTR, Liverpool FC, Argentina FC, F1, Heavy Metal, Good Music (Any Genre). Born and raised in the Bengal Delta.

Download Resume

Interests

Computer Vision
Remote Sensing
Envrionmental AI
Geographic information system

Education

Ph.D. in Computer Science
Florida International University, USA (Expected 2026)

M.Sc. in Computer Science
Florida International University, USA (2024)

B.Sc. in Computer Science
Khulna University of Engineering & Technology, Bangladesh (2019)

Research & Work Experience

Research Assistant • FIU HPDRC Lab

Miami, FL — August 2022 – Present

Collaborating under Dr. Naphtali Rishe in the High Performance Database Research Center (HPDRC) at FIU.
Developing tools for data management, AI integration, and web applications for large, heterogeneous datasets.
Researching on deep learning for environmental remote sensed data and time-series data, funded by FDEP and NSF.

Senior Software Engineer • Enosis Solutions

Dhaka, Bangladesh — June 2019 – August 2022

Developed software solutions for Denticon, a SaaS dental management platform used widely in the U.S.
Led a sub-team in optimizing SQL queries and modernizing enterprise-level legacy systems.
Focused on scalable architectures and performance-driven software engineering practices.

Software Engineer Intern • mPower Social Enterprises

Dhaka, Bangladesh — May 2019 – June 2019

Developed backend features using Python and Django framework for data-driven social solutions.

Research & Publications

MSCloudCAM: Cross-Attention with Multi-Scale Context for Multispectral Cloud Segmentation Deep Cross Attention with Multi-Scale Context Network for Multispectral Multi-Sensor Cloud Segmentation (2025) — Research done, manuscript in progress, Target: IEEE GRSL.
Look, Attend, and Rank Language-Guided Benchmark for Saliency Ranking (2025) — Co-author, Submitted to AAAI 2026.
Addressing Irregularities and Enhancing Forecasting for Water Quality Metrics by Integrating Ordinary Differential Equations with BiLSTM (2024) — Published in IEEE.
Climate Change Myths Detection Using Dynamically Weighted Ensemble Stance Classifier (2022) — Published in ACM.

Projects

BBROIPS: Developed AI-driven visualization and simulation systems for environmental data analysis, in collaboration with FIU, FDEP, and Biscayne Bay National Park.
Denticon: Contributed to modernization and optimization of one of the largest SaaS dental platforms in the U.S., improving system efficiency and data visualization.
Quizify: Built an AI-powered quiz generator that creates dynamic quizzes from text inputs using ML backend.
NachOS Analysis: Analyzed OS architectures and built modules for process and thread management.

Technical Skills

Languages

Python, C++, C#, SQL

Technologies

.NET, Microsoft SQL Server, TensorFlow, Keras, NumPy, Docker, Django

Version Control

Git, TFS

Areas of Expertise

Machine Learning, Time-Series Forecasting, Environmental Data Analytics