Hi! I am a PhD applicant for 2026. Broadly, I am motivated by the challenge of building intelligent tools that can bridge machine learning and neuroscience. I earned an MPhil from the School of Health and Rehabilitation Sciences, The University of Queensland. My thesis, supervised by Dr. Mohammad Ali Moni and Dr. Md. Abdul Awal, explores whether quantum machine learning can offer a competitive advantage in brain data analysis. Alongside my studies, I am a research assistant at the Rural Health Research Institute, Charles Sturt University, where I focus on developing deep foundation models for neuroimaging and biomedical signals. Prior to this, I completed my Bachelor’s degree in Electrical and Electronic Engineering at IUT, Bangladesh, under the supervision of Prof. Ashik Ahmed.

Research Interests

1. ML Theory & Algorithms: quantum machine learning; self-supervised and few-shot learning; high-dimensional representation learning; foundation models; generalizability, robustness, and bias mitigation.

2. Neuroinformatics: multimodal brain data analysis; longitudinal effects on brain structure, function, and anomalies; brain–omics integration; explainable AI for biomarker discovery; brain mapping and anomaly detection; brain-computer interfacing.

3. Signals & Images: biomedical time series analysis; medical image diagnosis, generation, segmentation, reconstruction, and registration; spatiotemporal modeling.

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