CV

Contact Information

Name Jubair Ahmed Nabin
Professional Title Lecturer | Computer Science
Email jahmed.cse@iubat.edu
Location Dhaka,

Professional Summary

Lecturer in Computer Science with research focus on machine learning, cybersecurity, and deep learning applications. Experienced in teaching core computing courses and conducting research in areas such as federated learning and anomaly detection. Interested in advancing academic research and pursuing PhD opportunities in intelligent and secure systems.

Experience

  • 2023 - Present

    Dhaka, Bangladesh

    Lecturer, Department of Computer Science and Engineering
    IUBAT-International University of Business Agriculture and Technology
    Teaching undergraduate courses and supervising student projects in core computing subjects.
    • {“Courses taught”=>”Data Structures, DBMS, System Analysis & Design, Engineering Ethics”}
    • Designed assignments aligned with outcome-based education (OBE)
    • Supervised database and software development projects
  • 2023 - 2023

    Dhaka, Bangladesh

    Internship Trainee
    Vivasoft Limited
    Led a team of front-end and back-end trainees.
    • Led a team of 6
    • Worked on integrating front-end and back-end
    • Built an end to end api for serving medicine information

Education

  • 2018 - 2023

    Chittagong, Bangladesh

    BSc
    Chittagong University of Engineering & Technology
    Computer Science and Engineering
    • Specialized in Machine Learning and Cyber Security
    • Research on deep learning-based intrusion detection systems
  • 2015 - 2017

    Chittagong, Bangladesh

    HSC
    Chittagong College
    Science

Publications

  • 2025
    CNN-LSTM Based Federated Learning for Intrusion Detection
    IEEE Conference (Under Preparation)

    Proposed a federated learning framework integrating CNN-LSTM for efficient and privacy-preserving intrusion detection.

  • 2024
    Deep Learning-Based Anomaly Detection in Video Data

    Developed a two-stage model using CNN and Vision Transformer for anomaly detection and classification.

Skills

Machine Learning & AI (Advanced): Deep Learning, CNN, LSTM, Vision Transformer, Federated Learning
Programming (Advanced): Python, SQL, MATLAB
Database Systems (Advanced): MySQL, Normalization, Transactions, Indexing

Languages

English : Fluent
Bengali : Native

Interests

Research: Machine Learning, Cybersecurity, Data Science

Projects

  • Intrusion Detection System

    Developed a deep learning-based IDS using CNN, LSTM, and attention mechanisms.

  • Meme Sentiment Analysis

    Multimodal system for sentiment detection using image and text features.