Hello, my name is
Saimoon Al Farshi Oman
Lecturer, Department of CSE, Bangladesh University of Business and Technology

I am a Lecturer in the Department of Computer Science and Engineering at BUBT. My research interests include Deep Learning, Federated Learning, Machine Learning, IoT Security, and Human-Computer Interaction. I am particularly passionate about exploring Federated Learning for real-world applications, focusing on building privacy-preserving and efficient distributed systems.

🍀 If you are interested in collaboration or research opportunities, feel free to reach out!

Get in Touch
Saimoon Al Farshi Oman

About Me

I am a Lecturer in the Department of Computer Science and Engineering at Bangladesh University of Business and Technology (BUBT). I previously served as a Lecturer in the Department of Computer Science and Engineering at Dhaka International University.

I am currently pursuing my Master’s degree in Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET). I completed my Bachelor’s degree in Computer Science and Engineering from Khulna University of Engineering and Technology (KUET).

My research focuses on Federated Learning, Human-Computer Interaction, IoT Security, and Deep Learning. My undergraduate thesis explored the integration of Federated Learning with Blockchain for secure and decentralized model training. I have published two conference papers on Deep Learning and IoT sensor-based systems.

Research Interests

Federated Learning Human-Computer Interaction IoT Security Deep Learning Machine Learning Blockchain Distributed Systems

Hobbies

Listening to music

Research Areas

Federated Learning

Exploring privacy-preserving, decentralized model training and its security implications.

Human-Computer Interaction

Designing intuitive and efficient systems to enhance user experience and bridge the gap between humans and machines.

IoT Security

Focusing on secure communication, data protection, and anomaly detection in sensor-based IoT environments.

Machine & Deep Learning

Applying machine learning algorithms and other deep learning architectures to solve real-world problems using sensor data and predictive modeling.

📚 Publications

BCL: A Branched CNN-LSTM Architecture for Human Activity Recognition Using Smartphone Sensors

A Novel Framework for Enhancing Sensor Data Analysis: Label-Preserving Augmentation and Probabilistic Balancing

🔬 Ongoing Research

Federated Learning and Human Computer Interaction

Federated Feature Unlearning

💻 Projects

My Skills

Technical Expertise

I work with Python and C++, focusing on implementing federated learning environments in Python. I leverage the PyTorch ecosystem for building and training machine learning models, along with tools for data analysis and preprocessing. I am particularly interested in exploring cloud-based solutions to deploy and scale federated learning systems effectively.

Python C/C++ Java JavaScript PyTorch Federated Learning Machine Learning Deep Learning Data Analysis SQL Cloud Computing Data Structures Algorithms Model Deployment

Contact Me

Email

saimoon.oman@gmail.com

Address

Dhaka, Bangladesh

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