Md. Shariful Alam

Senior System Engineer and Trainer at Central Depository Bangladesh Limited (CDBL), Bangladesh

Managed system operations and provided professional training to staff from over 200 companies. Conducted workshops and hands-on training sessions on IT systems and applications.

Research Assistant at University of Malaya, Malaysia

Recruited and trained participants, data collection, and performed statistical data analysis. Conducted two experiments using collected data to improve speech understanding in noisy environments: (1) consonant confusions and (2) development of band importance functions (BIFs) for Malay speech. Developed machine learning approach for speech recognition and emotion recognition.

Research Assistant (Off-campus) at Texas A&M University, Qatar

Developed robust speaker identification techniques under noisy/reverberant conditions.

Research Scientist (PhD Researcher) at CSIRO Data61, Sydney

Processed and integrated multi-modal datasets, including chest X-ray imaging and associated clinical data, for model development. Developed deep learning models for lung segmentation, lesion synthesis (GANs), and pneumoconiosis severity classification. Contributed to a pilot study with Lung Screen Australia Pty Ltd to validate the pneumoconiosis detection and classification software tool, AI-Xrayder.

Research Associate in AI for Biomedical Image Analysis at UNSW School of CSE, UNSW

Developed a foundation model–based hybrid architecture combining SAM and CNN components for accurate cell segmentation in microscopy images, enabling single-cell morphological and phenotypic analysis. Created a dataset by annotating microscopy images of HUVECs and HEK293T cells.