Bio
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.
Additionally, he honed his skills in different programming languages, machine learning frameworks, simulation softwares, networking tools, as well as design and developing softwares throughout his career. He also served as a Teaching Assistant in the Department of Electrical and Electronic Engineering at the University of Liberal Arts Bangladesh, where he assisted faculty in conducting lab classes, preparing course materials, maintaining course-related documents (lab report, assignment, document scrutinization). Additionally, he also counseled students, and did the invigilation duties sometimes.
In his free time, he enjoys reading novels, watching movies, playing video games, and traveling. He also has a passion for research, building projects, coding, and designing, and actively participated in contests and projects during his university life. Above all, he values spending time with his family.
Research Interest: Machine Learning (ML), Bioinformatics, Federated Learning (FL), Convex Optimization, Signal Processing, Wireless Communication.
Skills
Programming Languages
- Python
- MATLAB
- C Programming
- Arduino Programming
Frameworks
- Scikit-learn
- Tensorflow
- PyTorch
- Wordpress
Simulation Softwares
- Simulink
- Lumerical FDTD
- Microwind
- Proteus
- Logisim
- CST Studio
- Microwave Office
Networking
- Cisco packet Tracer
- Wireshark
Design and Developement
- Adobe Illustrator
- Adobe Photoshop
- HTML5
- CSS3
- Bootstrap
- Canva
Operating System
- Linux
- Windows
Documentation
- LaTex
- Microsoft Office
- Libre Office
Reference Manager
- Zotero
- Mendeley
Projects
Current
Will be updated soon.
Completed
| 1 | Detection of motor imagery (MI) event in Electroencephalogram (EEG) signals using artificial intelligence techniques |
Experiences
Taught/Assisted Courses
Spring 2020
- ETE 312 - Control System Engineering & Robotics Lab (Course Instructor: Abul Barkat Mollah Sayeed Ud Doulah, PhD)
- EEE 304/ETE 316 - Digital Signal Processing Lab (Course Instructor: Abul Barkat Mollah Sayeed Ud Doulah, PhD)
- CSE 104 - Structured Programming Lab (Course Instructor: Mirza Rasheduzzaman, PhD)
Fall 2019
- EEE 312 - Microprocessor and Embedded Systems Lab (Course Instructor: Mirza Rasheduzzaman, PhD)
- ETE 320 - Computer Architecture and Microprocessor Interfacing Lab (Course Instructor: Mirza Rasheduzzaman, PhD)
- ETE 464 - Optical Fiber Communication Lab (Course Instructor: Abul Barkat Mollah Sayeed Ud Doulah, PhD)
- CSE 104 - Structured Programming Lab (Course Instructor: Shameem Hasan)
Summer 2019
- EEE 312 - Microprocessor and Embedded Systems Lab (Course Instructor: Mirza Rasheduzzaman, PhD)
- ETE 320 - Computer Architecture and Microprocessor Interfacing Lab (Course Instructor: Mirza Rasheduzzaman, PhD)
- ETE 203 - Electronics Device and Circuit – I Lab (Course Instructor: Shameem Hasan)
Publications
Conferences
2021
- A Comparative Study of Motor Imagery (MI) Detection in Electroencephalogram (EEG) Signals Using Different Classification Algorithms, Muhammad Yeamim Hossain*, Abul Sayeed, 2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)
2020
- Detection of motor imagery (MI) event in Electroencephalogram (EEG) signals using artificial intelligence technique, Muhammad Yeamim Hossain*, A.B.M.S.U. Doulah, 2020 IEEE East-West Design & Test Symposium (EWDTS)