Nazmus Shakib Shadin
Hello, I'm

Nazmus Shakib Shadin

I am a Graduate Research Assistant and PhD student in Computer Science at Kennesaw State University (KSU). I am working at the AIPO Lab under the supervision of Dr. Xinyue Zhang, where my research is primarily focused on Federated Learning. I explore cutting-edge approaches to distributed machine learning, with broader research interests encompassing machine learning, deep learning, computer vision, and Large Language Models (LLMs), especially multimodality. I am passionate about developing innovative AI solutions that advance the field.

Education

August 2024 - Present

PhD in Computer Science

Kennesaw State University

Ongoing GPA: 4.00 out of 4.00

March 2017 - January 2022

Bachelor of Science (B.Sc) in Computer Science & Engineering

Ahsanullah University of Science and Technology

CGPA: 3.483 out of 4.00

June 2014 - July 2016

Higher Secondary School Certificate (HSC) in Science

Birshreshtha Noor Mohammad Public College

GPA: 5.00 out of 5.00

January 2012 - January 2014

Secondary School Certificate (SSC) in Science

Lakshmipur Adarsha Samad Government High School

GPA: 5.00 out of 5.00

Experience

August 1, 2024 - Present

Graduate Research Assistant

AIPO Lab, Kennesaw State University

Working under the supervision of Dr. Xinyue Zhang, focusing on cutting-edge research in Federated Learning and distributed machine learning systems.

August 1, 2022 - July 15, 2024

Software Development Engineer-I

IQVIA

Worked as a part of PADDS (Processing and Data Delivery System) Implementation Team, and using the technologies like: ASP.NET, Typescript, Javascript, Webservices, SQL, PowerBuilder, Sybase, Exasol etc.

January 17, 2022 - July 31, 2022

Software Developer Intern

IQVIA

Undergone with the trainings such as: Software Engineering, Data Analytics, Data Engineering, Data Warehousing, Business Intelligence, Advance Databases System, Automation Scripting, SSIS, Project Management etc.

November 22, 2020 - January 5, 2021

Management Trainee, Department of Admin and HR

Youth School for Social Entrepreneur (YSSE)

July 12, 2020 - November 20, 2020

Intern, Department of Admin and HR

Youth School for Social Entrepreneur (YSSE)

Letter of Recommendation

Publications

Journal

Bangla Numerical Sign Language Recognition using Convolutional Neural Networks

FM Javed Mehedi Shamrat, Sovon Chakraborty, Md Masum Billah, Moumita Kabir, Nazmus Shakib Shadin, and Silvia Sanjana.
Indonesian Journal of Electrical Engineering and Computer Science, 2021.

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Conference

FedKDShap: Enhancing Federated Learning via Shapley Values Driven Knowledge Distillation on Non-IID Data

Nazmus Shakib Shadin, and Xinyue Zhang.
Accepted in the ACM Web Conference 2025.

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Conference

YouKnowWho: Interpretable Framework for Classifying the Gender from Behavioral Motion Data in Extended Reality (XR)

Nazmus Shakib Shadin, Nasim Ahmed, Md Mahedi Hassan, Rifatul Islam, and Xinyue Zhang.
Accepted in MobiHoc ’25.

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Conference

Heterogeneity-Aware Private Personalized Federated Learning for Medical Imaging via Contrastive Distillation

Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang, and Miao Pan.
Accepted in IEEE BigData 2025 main track regular paper.

Conference

Covid-19 Diagnosis From Chest X-ray Images using Convolutional Neural Network(CNN) and InceptionV3

Nazmus Shakib Shadin, Silvia Sanjana, and Nusrat Jahan Lisa.
2021 International Conference on Information Technology(ICIT).

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Conference

Automated Detection of COVID-19 Pneumonia and Non COVID-19 Pneumonia from Chest X-ray Images Using Convolutional Neural Network (CNN)

Nazmus Shakib Shadin, Silvia Sanjana, and Mayisha Farzana.
2021 2nd International Conference on Innovative and Creative Information Technology (ICITech).

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Conference

Automated Diabetic Retinopathy Detection using Transfer Learning Models

Silvia Sanjana, Nazmus Shakib Shadin, and Mayisha Farzana.
2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT).

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Book Chapter

Covid-19 Detection from Lung CT Scan using Transfer Learning Models

Nazmus Shakib Shadin, Silvia Sanjana, and Nusrat Jahan Lisa.
Published in Springer in their Communications in Computer and Information Science Series (CCIS, volume 1550).

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Conference

Performance Analysis of Glaucoma Detection using Deep Learning Models

Nazmus Shakib Shadin, Silvia Sanjana, Sovon Chakraborty, and Nusrat Sharmin.
2022 International Conference on Innovations in Science, Engineering and Technology (ICISET).

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Conference

Face Mask Detection using Deep Learning and Transfer Learning Models

Nazmus Shakib Shadin, Silvia Sanjana, and Daiyan Ibrahim.
2022 International Conference on Innovations in Science, Engineering and Technology (ICISET).

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Projects

Face Mask Detection using CNN and Transfer Learning

Face Mask Detection using two Deep Learning Convolutional Neural Network (CNN) architectures and one Transfer Learning Model (MobileNetV2).

GitHub

Glaucoma Detection using Convolutional Neural Network

Glaucoma Detection using Convolutional Neural Network, where two types of Pooling Layer has been used: I: MaxPooling, II: Average Pooling.

GitHub

Sentiment Classification from Tweeter Data using Bi-directional LSTM

This is a NLP based project that applies to classify sentiment of a person using the Tweeter based data.

GitHub

NLP based Bangla Digit Recognizer using Deep Convolutional Neural Network

This is a NLP based project for Bangla Digit Recognizer with the implementation of Deep Neural Network.

GitHub

Food Wheels

This is a restaurant website from where one can order online foods as well as can review them if he has account, one can apply for a chef's job if there is any vacancy. To built this application HTML, CSS, PHP and MySQL database are used.

GitHub

Door Step Pharmacy

Door_Step_Pharmacy a "Distributed Database Management System" project based in "PL/SQL" Language. And Run in "CLI". Features and Other Details are given in the "README" section of GitHub.

GitHub

Pharmacy Management System

This is a pharmacy management system desktop application that is useful for the modern pharmacy management system. This app is integrated with java swing, as database Microsoft SQL server is being used.

GitHub

Biometric Attendance System

An automated Attendance System is a commonly used system to mark the presence in offices and schools. This project has a wide application in schools, colleges, business organizations, offices where marking of attendance is required accurately with time. By using the password input, the system will become more secure for the users.

GitHub

Online Disease Checker and Medical Support (ODCMS)

An ASP.NET project. This website, patients can do a live chat with active doctors about medical problems. Also, patients can see a list of doctors and hospitals with details.

GitHub

LearnC

An Android application where a newbie can learn C programming with an online tutorial, offline tutorial, practicing with some competitive programming question and viva board questions, can run his/her code online. To give the quiz, the user must be logged in into the system.

GitHub

Media Player

Our main motto for this project was to use the JavaFX and graphical user interface of Java. We also used the media graphic framework from the ORACLE. It is more powerful to use the libraries from the oracle. Oracle’s library is used to play both mp3 and mp4 formats music. We used the latest version of JavaFX which is Javafx 9 and the latest version.

GitHub

Space War

SpaceWar is an arcade game developed on 'Microsoft Visual Studio 2010 Shell' mainly based on C programming language/a structured programming language with special emphasis on higher features like strings, files, sound, and graphics. In this arcade game one player needs to kill enemy aircraft and increase the level. At a higher level, the movement of the enemy aircraft will be faster. In the last stage, the boss will arrive. The high score will be updated after making a better score than the previous one. Gaming control and other necessary instructions are given in the game's instruction section.

GitHub

Undergraduate Thesis

Thesis Image

A Comparative Study of Diabetic Retinopathy Detection using Machine Learning and Deep Learning architectures.

Supervisor: Dr.-Ing. Nusrat Jahan Lisa, Assistant Professor, North South University.

Ailment of the eyes, Diabetic retinopathy is on the rise around the world, causing diabetics patients to lose their vision and become partially or completely blind. Diabetic retinopathy can be detected early, which can help patients to avoid losing their vision. This work offers a computer-aided diagnostic method based on digital retinal image processing and machine learning as well as deep learning models to help humans diagnose diabetic retinopathy early and compares their performance.

GitHub Repository

Curriculum Vitae

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