About me

Hi, I am Md. Rifatul Islam! Welcome to My Site!

I am currently pursuing a Ph.D. in Electrical and Computer Engineering (ECE) at the University of Texas at El Paso (UTEP) and working as a Graduate Research Assistant at the Edge and BioMedical Intelligence (EBMI) Laboratory.
I completed my B.Sc. in Mechatronics and Industrial Engineering from Chittagong University of Engineering and Technology (CUET), Bangladesh, in 2022. Over the past five years, I have immersed myself in the fields of machine learning and deep learning. I have a strong affinity for integrating machine learning tools and techniques to solve various problems. Additionally, I always try to continually adapt to the rapid updates in AI and learn new things constantly to stay at the forefront of the field.

My research focus includes:

  • Biomedical and Edge Intelligence
  • Efficient AI
  • AI Security

You can explore the details about me throughout this website. Feel free to contact me for any kind of inquiries.

Md. Rifatul Islam
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Md. Rifatul Islam

Experience

Experience

  1. Graduate Research Assistant [January 2025 - Present]

    Edge and BioMedical Intelligence (EBMI) Laboratory

  2. Machine Learning Engineer [July 16, 2023 - November 30, 2024]

    Polyfins Technology Inc., Dallas, Texas, United States

    • Performing research initiatives to identify innovative solutions and techniques for addressing complex AI challenges in healthcare
    • Working on the development of state-of-the-art AI models optimizing performance and ensuring scalability
    • Implementing MLOps best practices to streamline the machine learning lifecycle and ensure seamless model integration into production environments
    • Collaborating with cross-functional teams to integrate AI solutions into products

  3. Industrial Attachment Trainee [May 10, 2022 – May 23, 2022]

    Unipolar Automation Technologies, Dhaka, Bangladesh

    • Learned about basic troubleshooting and controlling an automated industry using PLC, HMI, and CCW (Connected Components Workbench) Software

Publication

Papers

  1. M. R. Islam and M. M. Hossain Shuvo, “Robust Visual Question Answering with Structured Outputs for Gastrointestinal Endoscopy Using Efficient Vision–Language Models,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2026,
    doi.org/10.1109/TETCI.2026.3741570 .

  2. M. R. Islam, M. S. Hasan, T. Hoque, and M. M. Hossain Shuvo, “Personalized Glycemic Insight Generation From Wearable Sensors Using Retrieval-Augmented Large Language Model,” 2026 International Workshop on Biomedical Applications, Technologies and Sensors (BATS), Naples, Italy, 2026.

  3. I. Meraz, M. Amezaga, M. R. Islam, F. Siddiqua, and M. M. Hossain Shuvo, “Embedded AI for Subject-Independent Brain Computer Interface Using EEG Signals,” 2026 IEEE 69th International Midwest Symposium on Circuits and Systems (MWSCAS), Cincinnati, OH, USA, 2026.

  4. M. R. Islam, S. K. Islam, and M. M. Hossain Shuvo, “Explainable AI for Hypoglycemia Detection in Type 1 Diabetes Using Single-Lead ECG Signals,” 2025 IEEE Medical Measurements & Applications (MeMeA), Chania, Greece, 2025, pp. 1–6,
    doi.org/10.1109/MeMeA65319.2025.11067978 .

  5. M. R. Islam, S. Banik, K. N. Rahman, and M. M. Rahman, “A Comparative Approach to Alleviating the Prevalence of Diabetes Mellitus Using Machine Learning,” Computer Methods and Programs in Biomedicine Update, 2023,
    doi.org/10.1016/j.cmpbup.2023.100113 .

CV

Contact

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