Personal information

Federated Learning, Convex Optimization, Deep Learning, Wireless Communication, Machine Learning, Bioinformatics, Signal Processing, Embedded System
Bangladesh

Biography

Md. Yeamim Hossain is a graduate of Electronics and Telecommunication Engineering from the University of Liberal Arts Bangladesh, where he completed his B.Sc. in 2019. During his studies, he developed a strong interest in machine learning, data science, signal processing, biomedical signal analysis, deep learning. Through his undergraduate thesis, he gained experience working with biomedical signals (e.g. EEG, EMG, ECG) and machine learning techniques, which led to publications in IEEE conferences. He is now motivated to further his knowledge and experience in the field and build a career in machine learning and related areas.

Activities

Employment (1)

University of Liberal Arts Bangladesh: Dhaka, Dhaka District, BD

2019-06 to 2020-06 | Teaching Assistant (Electrical and Electronic Engineering (EEE))
Employment
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Md Yeamim Hossain

Education and qualifications (1)

University of Liberal Arts Bangladesh: Dhaka, Dhaka District, BD

2015-01 to 2019-09 | Bachelor of Science (Electronics and Telecommunication Engineering (ETE))
Education
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Md Yeamim Hossain

Professional activities (1)

IEEE: New York, NY, BD

2021-01-01 to 2022-12-31 | Graduate Student Member
Membership
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Md Yeamim Hossain

Works (2)

A Comparative Study of Motor Imagery (MI) Detection in Electroencephalogram (EEG) Signals Using Different Classification Algorithms

2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
2021-07-08 | Conference paper
Source: Self-asserted source
Md Yeamim Hossain

Detection of Motor Imagery (MI) Event in Electroencephalogram (EEG) Signals using Artificial Intelligence Technique

2020 IEEE East-West Design & Test Symposium (EWDTS)
2020-09 | Conference paper
Part of ISBN: 9781728198996
Source: Self-asserted source
Md Yeamim Hossain