Research Publications

• A. M. Saad, U. N. Mahi, M. S. Salim, and S. I. Hossain, "Bangla news article dataset", Data in Brief, vol. 2024, Art. no. 110874, ISSN 2352-3409.
• A. M. Saad, R. Mahmud, and S. Das, "Forecasting Crucial Biogeochemical Indicators of the Southern Ocean for Climate Monitoring Using Modified Kernel-Based Support Vector Regression", Proc. 2nd Int. Conf. on Big Data, IoT and Machine Learning (BIM 2023), Lecture Notes in Networks and Systems, vol. 867, Springer, Singapore, 2024, pp. 809-823.

Thesis

Quantum Kernel Techniques for Optimizing Support Vector Machine Performance
This thesis work explores the integration of quantum computing with classical SVMs through quantum-enhanced kernel functions. By utilizing quantum feature maps, quantum phase estimation accelerates kernel computations and improves high-dimensional data separability. It addresses scalability challenges, enhances convergence rates, and optimizes performance in complex, non-linear classification tasks, pushing the boundaries of machine learning with quantum innovations.

Ongoing Research

• Automated Recognition of Fundamental Human Movements and Postures
• Development of Self-Navigating Systems for Chittagong’s Roadways
• Development and Implementation of Meteorological Monitoring Network for Chittagong
• Time Series Analysis for Enhanced Long-Term Accuracy in Localized Weather Forecasting
• MRI-Based Image Segmentation
• Removing Hair and Filling Image Gaps with Vision Transformer Models
• Quantum Machine Learning Architecture for Handling Skewed Datasets

Personal Projects

• MNIST image classification with QNN
  Tools: PyTorch, Classiq SDK
  Used quantum technology from Classiq to recognize digits through hybrid QNN.
• Health Bee
  Tools: Android Studio, CI/CD utility
  Basic performing mobile app developed following SE norms and methods, with proper documentation.
• Website for Bit2Byte
  Tools: JavaScript, C#, HTML, CSS
  Website with admin panel, user panel, newsletter box, and basic website features.
• Introduction to Quantum Chemistry Notebook
  Tools: Qiskit, Cirq
  Tutorial notebook on mapping, encoding, VQE, and QPE in quantum chemistry.
• Piksel
  Tools: Android Studio, Java SDK
  Android app where artists can auction artworks and clients can purchase through bidding.
• Solution to Pennylane Codebook
  Tools: Pennylane
  Solution repository for tasks in the PennyLane codebook, from different subdomains of quantum computing.