Research
Research Interest
Bioinformatics
Biomedical Engineering
Deep Learning
Machine Learning
Artificial Intelligence
Data Science
Research Grant
2023
Cross-domain 10k hour Bengali Speech Corpus for state-of-the-art Bengali Speech Recognition, Diarization and Synthesis.
- Principal Investigator: Dr. Farig Yousuf Sadeque, Assistant Professor, BRAC University.
- Fund: 1.2 Million BDT, Brac University, Bangladesh.
- My Role: Co-Principal Investigator.
- About Project: The project aims to overcome the lack of diverse Bengali speech datasets by crowdsourcing a 10,000-hour dataset, enabling advanced speech technology development, including recognition and synthesis, with plans to release benchmark models and host a research competition.
Research Activities
(September 2023 - May 2024) FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time.
- My Role: Contributor.
- About Project: This project aims to efficiently identify Heart Murmur detection using recent TinyML algorithms from the heart sound.
(June 2023 - Ongoing) Real-world Sleep Stages and Diseases Prediction Using Artificial Intelligence from Polysomnography (PSG) Data.
- My Role: Contributor.
- About Project: This project aims to efficiently identify the Sleep stages and Sleep diseases using recent AI algorithms from the PSG data.
(March 2023 - September 2023) A Complete Open-Source OCR Framework for Bengali Documents.
- Advisor: Dr. Farig Yousuf Sadeque, Assistant Professor, BRAC University.
- My Role: Contributor
- Paper: (Under Review) "bbOCR: An Open-source multi-domain OCR pipeline for Bengali documents"
- About Project: This project consists of Geometry and Illumination correction, Document Layout analysis, Word and Line segmentation, Word recognition, and HTML reconstruction for Bengali documents.
(May 2019 - Ongoing) Outdoor Performance Analysis and Prediction of Photovoltaic Modules Using Machine Learning.
- Thesis Supervisor: Dr. Md Mosaddequr Rahman, Professor, Department of EEE, BRAC University.
- My Role: Thesis Student
- About Project: The study assesses photovoltaic module performance in various environmental conditions, utilizing machine learning for predictive analysis; it sets up modules in Dhaka, collects data, including weather parameters, and employs a neural network algorithm for energy output prediction.