Recommended citation: M. R. Sheikh, T. H. Masud, N. I. Khan and M. N. Islam, "An Efficient Transfer Learning Model for Predicting Forged (Handwritten) Signature," 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 2021, pp. 1-4, doi: 10.1109/IC4ME253898.2021.9768440.
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Five Significant Issues of Digital Payment Systems – A Content Analysis

Published in Journal of Finance and Data Science (manuscript submitted for publication), 2024

This paper is about the number 2. The number 3 is left for future work.

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Paper Presentation on “An Efficient Transfer Learning Model for Predicting Forged (Handwritten) Signature”

Published: March 01, 2012

Presented my Bachelor thesis “An Efficient Transfer Learning Model for Predicting Forged (Handwritten) Signature” at “2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)” hosted by Rajshahi University, Rajshahi, Bangladesh.

teaching

Hands-on-training on Artificial Intelligence and Machine Learning

Workshop, 10 Infantry Division, Ramu Cantonment., 2024

Conducted classes on Cybersecurity awareness to Officers, Soldiers and their families throughout October Cybersecurity Awareness Month, in 2023.
Total number of participants were 5000+ persons.
Outcome: Cyber attacks incidents report reduced by 67% compared to previous year.

Cybersecurity aspects in daily life

Awareness Training on Cyber threats faced by general people, 10 Infantry Division, Ramu Cantonment. , 2024

Conducted hands-on-training on Artificial Intelligence and Machine Learning to technical military Officers.
Total number of participants were 75 persons.
Outcome: Trained Officers developed small machine-learning projects each at the end of the course.

MD Rafsun Sheikh

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