Experience
11/2021 to present
- Implementing test automation, CI/CD, writing test cases, formulating bug reports, cross browser testing.
- Performing various web and mob testing schemes (functional, regression, system, integration, non-fuctional).
01/2021 to 09/2021
- Under the supervision of Dr. Jia Uddin.
- Research areas: Deep learning, image processing, and fault signal detection.
- Writing journal papers, code implementation, creating graphical designs.
09/2019 to 09/2020
- Course taught: Digital Logic Design (CSE260).
- Gave consultation hours to a large community of students, checked & graded assignments.
- Took lab classes alongside the faculty, worked with supervisor in developing strategies.
Education
2016 to 2020
B.Sc. IN COMPUTER SCIENCE & Enginering
at BRAC UNIVERSITY
at BRAC UNIVERSITY
- CGPA 3.75+ (Out of 4)
- High Distinction
Publication
August, 2022
Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using
MRI Images
- Authors: Moinul Islam, Md Tanzim Reza, Mohammed Kaosar, and Mohammad Zavid Parvez
- Journal: Journal: Neural Processing Letters - [Springer link of the article]
Projects
07/2020 to 10/2020
CNN ensemble architectures and federated learning for classifying brain tumor
- Extracted 3D MRI NIfTI images into 2D. Used six CNN architectures: VGG16, VGG19, Inception V3, ResNet50, DenseNet121, and Xception. Designed average & voting ensemble by taking the best 3 models. Further, FL was created by implementing a global model with an average CNN model in a central server that receives an updated weight trained by local data (in client-server). Calculated sensitivity, specificity, AUC, DSC, and test accuracy to justify models’ performance.
01/2021 to 03/2021
Deep CNN based model to detect Covid-19 from X-ray scans
- Applied manual CNN architecture and transfer learning to detect covid-19 from chest X-ray images. Manual CNN model built with five Conv2D layers, 2 FC, and the sigmoid activation function to classify covid+ or covid-. DenseNet121 was applied as a transfer learning model. After comparison, received 96.93\% \& 97.43\% accuracy.
03/2021 to 05/2021
Industrial fault diagnosis using Hilbert transform and RNN-CNN
- Took input of standard signal & 3 faults signal of inner, outer, centered of bearing motors. Implemented Hilbert transform to produced absolute signal and constructed 2D images of that. Last, performed CNN-LSTM model to train and test for identifying fault signals.
05/2021
Test automation, web design and database handling
Relevant Coursework
Skills
Programming Skills
- Python: Professional proficiency, problem solving proficiency.
- Javascript: Elementary proficiency
Libraries & frameworks
- Cypress, Selenium, TensorFlow, Keras, Pandas, Bootstrap, Django
Development tools
- Git, Sourcetree, Postman, Sauce Labs, ClickUp, Azure DevOps, MySQL workbench, VS Code, LaTeX
Fields of Interest
- Machine Learning, Deep Learning, Neural Networks, Data Science
Language skills
- Bengali - Native
- English - Fluent
- French - Elementary
- Chinese - Elementary
Volunteer Experience
05/2019 to 09/2020
STUDENT MENTOR
at BRAC UNIVERSITY
at BRAC UNIVERSITY
- Guided new students to various resources opportunities that are available on campus.
- Acted as a point of contact for the students and monitored their performance regularly.
07/2017 to 09/2017
- Organized and Participated in BRACU RS Seminar and Fair.
- Proposal about car-free city, healthy canteen, car parking, etc.
EXTRACURRICULAR ACTIVITIES
April 2020
Graphic Designing
- Adobe Illustrator |Certificate
- Canva
April 2016
Book Reading Competition at British
Council
- Under BRAC University | Certificate
April 2017
Animated Flim Making
- BRACU RS activity | Certificate
July 2022
Content Creation
Awards
Academic Distinction
- High distinction academic honors at graduation.
VC's List
- Vice Chancellor's List certificate: Won a place on VC's list 5 times for achieving a GPA above 3.90. Undergraduate students must meet the minimum GPA of 3.7 and above with no retake or repeat are eligible for VC's List certificate.
Dean's List
- Awarded Dean's list for having a decent academic performance.
BRACU performance based scholarship
- Based on the upper percentile CGPA.
References
Dr. Md. Golam Rabiul Alam
- Professor, CSE Department of BRAC University.
- Email: rabiul.alam@bracu.ac.bd
Dr. Jia Uddin
- Assistant Professor, Technology Studies Department of Woosong University.
- Email: jia.uddin@wsu.ac.kr