Monirul Islam

Chapter So Far

A curious man with a deep passion for areas in Multimodal Knowledge Distillation, Medical Imaging, 3D Domain Adaptation, Effecient LLM for Low-Resource Scenarios and Zero-Shot Vision-Language Models (VLM). Proficient in Python, TensorFlow, D3.js, Tableau, Matlab, PySpark, and committed to continuously advancing my expertise in these areas. As a Graduate student at Georgia Tech and Fordham University, I like to embrace cultural diversity, engage in interdisciplinary projects and contribute to creating sustainable solutions. Beside my academic and professional pursuits, I enjoy Football, Traveling, Hiking, and immersing myself in Research Innovations. Let's connect and explore the Dynamic World of Data together!

Latest Updates

AUG 2025

Our paper "DFU_DIALNet: Towards Reliable and Trustworthy Diabetic Foot Ulcer Detection with Synergistic Confluence of Grad-CAM and LIME" is accepted at PLoS ONE (Q1 Journal)! DOI: 10.1371/journal.pone.0330669

DEC 2024

A proud milestone in my journey—I've been accepted into the M.S. in Analytics program at Georgia Institute of Technology! Very excited to join one of the world's Top 10 CS Ranked universities.

NOV 2024

Our paper "Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach" has been accepted to IEEE International Conference on Computer and Information Technology (ICCIT) 2024.

Oct 2024

Our paper, titled "Optimizing Stroke Detection: An Analysis of Various Feature Selection Methods" has been published online (doi: 10.1145/3675094.3677602) at the UbiComp 2024 Conference, Australia.

MAY 2024

I am honored to serve as the Reviewer in peer-reviewed IEEE Pervasive Computing.

Mar 2024

I have started my Masters in Computer & Information Science at Fordham University, New York with GSAS Centennial Scholarship.

DEC 2023

I am officially graduated from North South University with a Bachelors in Computer Science & Engineering.

Jul 2023

I have started working as Research Assistant at Design Inclusion & Access Lab (DIAL). Working on the project - 'Feasibility of Alternative Credit Scoring for the Credit Invincibles of Bangladesh' funded by NSU-CTRG (CTRG-23-SEPS-02)

Interested in Medical Imaging with Multimodal AI and Zero-Shot VLM.

Python, Tensorflow & Hugging Face Transformers95%

PostGreSQL, SQL & MongoDB 90%

Power BI, Tableau & D3.js 80%

PySpark, Pandas & Seaborn 70%

A/B Testing, Hypothesis Testing 65%

SAS, CI/CD & Docker60%

Education

Georgia Institute of Technology, Atlanta

Starting Spring 2026

M.S. in Data Analytics

➛ Major in Business Analytics track, focusing on advanced statistics (PCA, Empirical Bayes, hierarchical Bayesian models), predictive modeling, and Monte Carlo simulations.
➛ Exploring Gibbs sampling, Variational Bayes and Hypothesis testing to democratize access to complex analytics techniques.

[Offer Letter]

Fordham University, New York

2024 - Ongoing

M.S. in Computer & Information Science

➛ As a Full-time Graduate Student, 90% of my Tution Fee is funded by GSAS Centennial Scholarship.
➛ Developing expertise in areas including but not limited to Smart Contracts, Distributed Ledger systems, Trustworthy AI, Text Mining and Graph Mining. [Offer Letter] [Transcript]

North South University, Dhaka

2020 - 2023

B.Sc in Computer Science & Engineering

➛ Engaged in a comprehensive curriculum covering key areas such as Algorithms, Data Structures, Software Engineering, Theory of Computation and Machine Learning. [Transcript][Certificate]

Experience

Design Inclusion and Access Lab (DIAL)

2023 - 2025

Graduate Research Assistant

➛ Implementing feature selection techniques - Information gain, Gain ratio, and Fisher score to enhance model interpretability in the Credit Scoring project, aiming to optimize risk assessment for South Asian banks.
➛ Applying SHAP, Morris Sensitivity Analysis and LIME for model explainability, ensuring transparency in decision-making for creditworthiness evaluation.
➛ Engaging in state-of-the-art techniques - Explainable AI and Federated Learning. Find me

Systech Datasoft

2023 - 2024

Trainee Engineer (Data Science)

➛ Gain hands on experience in t-tests, ANOVA, Markov Chain methods.
➛ Implemented a PDF parser to enhance the efficiency of Resume Screening from PDF for the hiring jobs.

IEEE NSU Student Branch (INSB)

2020 - 2021

Content Writing and Publication

➛ Collaborated with a diverse team of INSB.
➛ Contributed to articles and promotional content to highlight technical events and achievements effectively.

Recent Projects

NSU Discussion Forum

Post, Comment & Discussion site.

Student Study Portal

Definition, Books, Homework, Task.

Health Express BD

Emergency Ambulance, Medicine & Doctor.

Alternative Credit Scoring

Multi-Domain Validation of Bayesian Optimized Ensembles

PCA & LDA based Stroke Detection

Linear Discriminant Analysis with XAI

GradCam based Diabetic Foot Ulcer

Trustworthy proposed DFU_DIALNet to detect DFU

Elderly People Activity Recognition

Multi-Head Temporal Attention based Bi-LSTM Approach

Alveolar Bone Defects Segmentation

Unsupervised Domain Adaptation with 3D Data Labeling

Markle Tree based Credit Scoring

Trustworthy Zero-Knowledge Proof Enhanced Approach

Ground based Cloud Segmentation

U-Net based FCNN for sharper Sky insights

Attention & Residual based DeepFake

ARC-Net with XAI for Deepfake Image Detection

LinkedIn Job Analysis 2024

Uncover trends in top industries, skills in USA

Benchmark Datasets

1. Human Activity Recognition from Wearable Sensors

A comprehensive dataset of 72,000 readings of 6 person, collected using a 3D accelerometer and gyroscope sensor from an Arduino Uno board. We also proposed a mobile app to collect and predict human activity.

Dataset Link: (Coming soon)

2. Diabetic Foot Ulcer Dataset

A specialized image dataset comprising 500 foot images (250 normal, 250 with ulcers) for the detection of Diabetic Foot Ulcers. This dataset was collected with approval from the North South University IRB/ERC (Application No. 2024/OR-NSU/IRB/1110).

Dataset Link: Click Here

3. Bangladeshi DeepFake and Real Face Image Collection

A dataset of 500 facial images, including real Bangladeshi individuals of diverse genders and ages, collected with explicit written consent for deepfake detection research. Data collection was approved by North South University IRB/ERC (Application No. 2024/OR-NSU/IRB/1109).

Dataset Link: Click Here

4. Ground-Based Cloud Segmentation Dataset

A segmented dataset of 110 ground-based cloud images, meticulously annotated using Roboflow. This dataset was developed for training and evaluating U-Net based Fully Convolutional Neural Networks (F-CNN) for cloud segmentation tasks.

Dataset Link: (Coming soon)

Publications ᝰ.ᐟ

M. I. Mahmud, M. S. Reza, and S. S. Khan. 2024. “Optimizing Stroke Detection: An Analysis of Different Feature Selection Approaches.” In Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '24), Melbourne VIC, Australia, 142–146. https://doi.org/10.1145/3675094.3677602.

M. S. Reza, M. I. Mahmud, I. A. Abeer and N. Ahmed, "Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach," 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2024, pp. 56-61. doi: 10.1109/ICCIT64611.2024.11022149.

M. I. Mahmud, M. S. Reza, and H. Akter, “Human Activity Recognition Using Multiple Learning & XAI Techniques with Wearable Sensor Data,” North South University, Dhaka, Bangladesh. 2023. https://repository.northsouth.edu/handle/123456789/1093

M. I. Mahmud, “Towards Trustworthy Keylogger detection: A Comprehensive Analysis of Ensemble Techniques and Feature Selections through Explainable AI,” arXiv.org, May 22, 2025. https://arxiv.org/abs/2505.16103

M. I. Mahmud, “ZeroML: A Next Generation AutoML Language,” arXiv.org, May 23, 2025. https://arxiv.org/abs/2505.18243

Under Review ⏳

M. I. Mahmud, M. S. Reza, F. Elias, K. A. Ahmed, M. Ahammad, I. A. Abeer, and N. Ahmed, "Multi-Domain Validation of Bayesian Optimized Stacking Ensembles for Next-Generation Credit Risk Modeling with Granular Explainability and Robust Statistical Inference," SN Computer Science.
M. S. Reza, F. Elias, M. I. Mahmud, and N. Ahmed, "Attention and Residual Mechanism-based CNN Architecture (ARC-Net) with Enhanced Fairness Generalization for Deepfake Facial Image Detection," PLoS ONE.
M. I. Mahmud, M. S. Reza, F. Elias, and N. Ahmed, "DFU DIALNet: Towards Reliable and Trustworthy Diabetic Foot Ulcer Detection with Synergistic Confluence of Grad-CAM and LIME," PLoS ONE.
M. I. Mahmud, S. Patel, M. Rahouti, and A. Chehri, "Trustworthy and Secure Credit Scoring: A Merkle Tree and Zero-Knowledge Proof-Enhanced Approach with Proactive Security Strategies in Consumer Applications," IEEE Transactions on Consumer Electronics.
M. I. Mahmud, M. S. Reza and I. T. Naheen, "Multi-Head Temporal Attention Enhanced Bi-LSTM for Human Activity Recognition: Introducing a Novel Benchmark Wearable Sensor Dataset," Knowledge-Based Systems.