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MD Redwan Islam

Md. Redwan Islam
Blurred image of the arch used as background for stylistic purposes.
PhD Student, Department of Computer Science
Graduate Teaching Assistant

I am Md. Redwan Islam. I am a PhD student in the Department of Computer Science. I worked as a Graduate Teaching Assistant in the department of computer science this summer. Prior to that, I was working as a Research Assistant in the department.

I completed my B.Sc. in Electronics and Electrical Engineering from Bangladesh University of Engineering and Technology. During my undergraduate studies I published a conference paper entitled 'Classification of Electrocorticography based Motor Imagery signal using Continuous Wavelet Transform' in IEEE TechSym 2016. After that, I joined in DataSoft Systems Bangladesh Limited, as a Trainee Software Developer in IoT. Later, I worked in Spectra International Limited as a Satellite Operation Engineer, where I got the opportunity to work as a subcontracting computer and data center engineer in the Bangabandhu Satellite Project of Thales Alenia Space, France. The project was the first geostationary communication satellite of Bangladesh and I oversaw installation and maintenance of servers, computers and the application software, switches, routers and other network devices.

Currently I am working as a Graduate Teaching Assistant in the department. I was mostly working on Medical Image processing using deep learning. However, I have switched my research interest towards the direction of cybersecurity, usable security and data driven security analysis.

  • B.Sc. in Electronics and Electrical Engineering, Bangladesh University of Engineering & Technoloy
    • Major in Communication, Minor in Electronics
    • Undergraduate Thesis Topic: ECoG and EEG signal classification for Brain Computer Interfacin
Research Interests:

Currently I am working on cybersecurity, usable security and data driven security analysis. However, over the past 6 years, I have excelled myself with skills such as Python, MySQL, Flask, MongoDB, keras, TensorFlow and PyTorch, which, I believe is highly suited with the work of your requirement.

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