Md. Sulyman Islam Sifat | Research Portfolio

About Me

Industrial AI researcher for smarter machines.

I am a Computer Science graduate and Research Assistant working at the intersection of Industrial Artificial Intelligence and Smart Manufacturing. My research focuses on fault diagnosis, predictive maintenance, PHM, neuromorphic computing, and battery prognostics.

Technical Skills

AI, ML & Data

PyTorchTensorFlowScikit-learnNumPyPandasOpenCVHugging Face

Programming

PythonCC++SQLJavaScriptNext.jsFastAPIJupyterLaTeX

Cloud & DevOps

PostgreSQLMySQLDockerGitAWSGoogle Cloud

Education

B.Sc. in Computer Science and EngineeringFeb 2021 – Jun 2025

Daffodil International University · Dhaka, Bangladesh

CGPA 3.72/4.00. Undergraduate thesis on GAN-based data augmentation for bearing fault diagnosis under limited training samples.

Erasmus+ Semester ExchangeAug 2023 – Jan 2024

Mälardalen University · Västerås, Sweden

Studied Industrial Systems in Cloud Computing, Software Engineering for Artificial Intelligence, Machine Learning Concepts, and Swedish for Foreign Students.

Employment

Research AssistantJan 2025 – Present

Kabir Research Group · Daffodil International University · Dhaka, Bangladesh

Working on Smart Manufacturing, Predictive Maintenance, Fault Diagnosis, and Industrial Artificial Intelligence. Building machine learning and data-driven solutions for industrial monitoring, diagnostics, and decision-making under Dr. Md. Alamgir Kabir.

Publications

Published research

Miscellaneous Experience

Certificates and academic recognition.

Professional certifications and awards supporting research in machine learning and industrial intelligence.

Certifications

Certificate

Vanderbilt University via Coursera

Prompt Engineering Specialization

Ongoing2026

Specialization focused on prompt design and applied AI workflows.

Certificate

IBM via Coursera

IBM Machine Learning Professional Certificate

Completed2025

Machine learning practice covering supervised learning, model evaluation, and applied workflows.

Awards

Daffodil International University

Academic Excellence Award

2025

Ranked 18th among 156 graduating CSE students in the department.

European Commission

Erasmus+ Global Mobility Scholarship

2023

Fully funded semester exchange at Mälardalen University, Sweden.

Published research

Generative Data Augmentation for Improving State Estimation and Prognostics in Lithium-Ion Batteries: Advances, Challenges, and Future Directions

GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review