Mariam Chowdhury

BSc in Information and Communication Engineering

Bangladesh University of Professionals

Curriculum Vitae || Transcripts (available on request)

Email || LinkedIn || Google Scholar 

Hi, I'm Mariam. I completed my undergraduate degree in Information and Communication Engineering (ICE) from Bangladesh University of Professionals (BUP) in January 2023.

My primary research interests are:

• Computer Vision

• Cybersecurity 

• Deep Learning

• Federated Learning

• IoT

• Machine Learning

• Transfer Learning

Publications:

• Mariam Chowdhury, Afrida Israt Jahan, Saima Murtuza, Tajbia Karim, Md Jaber Al Nahian, "Early detection and classification of fruit leaf diseases using an ensemble approach based on transfer learning," In International Conference on Computational Intelligence in Pattern Recognition (CIPR 2024), Springer Nature Singapore. [Accepted for publication]

•  Mariam Chowdhury, Meherun Binte Alam, Umma Habiba Easha, M. Shamim Kaiser. (2023, November). Exploring Open Access Cybersecurity Datasets for Machine Learning-Based Cyberattack Detection. In International Conference on Trends in Computational and Cognitive Engineering (pp. 289-307). Singapore: Springer Nature Singapore.

• Tajbia Karim, Mariam Chowdhury, Saima Murtuza, Afrida Israt Jahan, Afrina Khatun. (2022). Fruits and Vegetables Disease Detection System Based on Indications Using Machine Learning Approach: A Systematic Review. Journal of FST, 1(01), 69.

Undergraduate (2019-2023)

Institute:  Bangladesh University of Professionals, Dhaka, Bangladesh

Major: Information Technology

Minor: Communication

CGPA: 3.58 out of 4.00 

Thesis Title:  An Ensemble Approach Based on Transfer Learning for Early Detection and Classification of Fruit Leaf Diseases

Summary: To detect different diseases in fruit leaves an ensemble model is proposed which is a combination of VGG16 and MobileNetV2. This ensemble model is chosen after testing 5 different transfer learning models and a CNN model. Evaluation metrics were accuracy, F1 score, Precision, Recall and Confusion Matrix.  

Thesis Supervisor: Tajbia Karim, Assistant Professor, Bangladesh University of Professionals

Test Scores

GRE:

• Total Score: 305 (Q: 157;  V: 148; AWA: 3.0)

IELTS:

• Overall: 7.5

• Listening: 8.5

• Reading: 8.0

• Speaking: 7.5

• Writing: 6.5

Software and Technical Skills

• Python

• Pandas

• Matplotlib

• NumPy

• TensorFlow

• Keras

• SKlearn

• Seaborn

• MATLAB

• JavaScript

• React.JS

• SQL

• C, C++

• LaTex