Research
In broader terms, my research interests primarily lie at
the intersection of computation and human perception. I am
particularly focused on developing algorithms that can
infer meaningful insights from observed data, especially
in the context of human-centric information. My previous
work includes spatio-temporal feature extraction, model
compression, autoencoders, early prediction, medical
imaging, and bioinformatics.
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AttDiCNN: Attentive Dilated Convolutional Neural Network
for Automatic Sleep Staging using Visibility Graph and
Force-directed Layout
M Jobayer, MMH Shawon, T Mahmud, MBU Antor, AM
Chowdhury
*In review, 2024
pre-print
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FunnelNet: An End-to-End Deep Learning Framework to
Monitor Digital Heart Murmur in Real-Time
M Jobayer, MMH Shawon, MR Hasan, S Ghosh, T Gedeon,
MZ Hossain
*In review, 2024
pre-print
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MutFusVAE: Mutational Fusion Variational Autoencoder for
Predicting Primary Sites of Cancer
Z Chen, M Jobayer, MR Hasan, KA Ahmed, MZ Hossain
Procedia Computer Science, 2023
paper
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Project:
Design and Development of a 3D-printed MEMS-based
Stethoscope for Real-time Heart Monitoring and
Cardiovascular Disease Prediction Using Machine Learning to
Assist Medical Professionals
Funded By: Research Seed Grant Initiative, BRAC
University
Grant: BDT 650,000
PI:
Prof. Md. Golam Rabiul Alam
Co-PIs: MMH Shawon, MZ Hossain, MR Hasan, S Razi
My Role: Research Assistant
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Project: Brain-computer Interface Driven Neural
Rehabilitation for Motor Dysfunction Patients with Soft
Robotic Gloves
Funded By: Research Seed Grant Initiative, BRAC
University
Grant: BDT 650,000
PI:
Md. Mehedi Hasan Shawon
Co-PIs: SR Sabuj, MK Rahman, MH Sagor, M Jobayer
My Role: Co-PI
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Miscellaneous
I'm typically not very social and quite shy. In my spare
time, I like to watch TV series, historical documentaries,
and travel vlogs. I love spicy foods and have craved fancy
cars and classic watches. I prefer living downtown.
Admittedly, I'm a bit lazy when it comes to changing my
outfits, so I often end up wearing the same clothes for
days.
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