TAV

Tarvir Anjum Aditto

Lecturer

tarvir.anjum@bracu.ac.bd

Address

CSE Department
4th floor, Room No # 4N159,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh

Tarvir Anjum Aditto is a Lecturer in the Department of Computer Science and Engineering at BRAC University. His research interests lie at the intersection of machine learning, deep learning, signal processing, and healthcare, with particular emphasis on biomedical signal processing, medical imaging, and privacy-preserving machine learning. His research also extends to wireless communication and sports analytics.

He completed his B.Sc. and M.Sc. in Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology (BUET), with a major in Communication and Signal Processing. His research experience includes developing machine learning and deep learning methods for biomedical signal analysis, medical imaging, differential privacy, and computational materials science. He has also worked on wireless communication and AI-generated image watermarking.

At BRAC University, he teaches undergraduate courses in electronics, digital signal and image processing, and football data analytics, and supervises undergraduate research projects.

  1. A Robust Image Watermarking Approach for Application in AI Generated Images
    TA Aditto, MR Shahariar, H Imtiaz
    2024 13th International Conference on Electrical and Computer Engineering
  2. Machine Learning-Enabled Prediction of the Electronic Band-Edge Shapes and Properties of 2D Transition Metal Dichalcogenide Alloys
    TA Aditto, V Chowdhury, H Imtiaz, A Zubair
    Materials Advances, 2026, 7(7), 3767–3780
  3. Toward Scalable Heterogeneous Quantum Networks: Microwave-Optical Transduction Across Platforms
    TA Aditto, JS Ifty, K Zahin
    arXiv preprint, 2026
  4. Machine Learning Based Prediction of Optical Properties in Two-Dimensional Mo-W-S-Se-Te Transition-Metal Dichalcogenide Alloys Through Physics-Informed Sampling
    V Chowdhury, TA Aditto, M Samrat, H Imtiaz, A Zubair
    arXiv preprint, 2026
  5. Hybrid Neural Reconstruction of ECG from PPG for Differentially Private Atrial Fibrillation Detection
    TA Aditto, H Imtiaz
    SSRN preprint, 2026

Thesis

Accepting


As:

  • Supervisor
  • Co-supervisor

Level:

Undergraduate

Type:

  • Thesis

Research Interest

• Applications of Machine Learning and Deep Learning in Healthcare
• Biomedical Signal Processing
• Medical Imaging and Image Processing
• Computer Vision
• Privacy-Preserving Machine Learning
• Machine Learning Applications in Electronics and Signal Processing


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