Dr. Bilkis Jamal Ferdosi

Dr. Bilkis Jamal Ferdosi

University of Asia Pacific

H-index: 8

Asia-Bangladesh

About Dr. Bilkis Jamal Ferdosi

Dr. Bilkis Jamal Ferdosi, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Asia Pacific, specializes in the field of Data Analytics, Medical Image Processing, Information Visualization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling and Classification of the Behavioral Patterns of Students Participating in Online Examination

Tracking Digital Device Utilization from Screenshot Analysis Using Deep Learning

Medical Text Extraction and Classification from Prescription Images

Keeping the Integrity of Online Examination: Deep Learning to Rescue

Identifying counterfeit medicine in bangladesh using deep learning

Unified Approach for White Blood Cell Segmentation, Feature Extraction, and Counting using Max-Tree Data Structure

Dr. Bilkis Jamal Ferdosi Information

University

Position

___

Citations(all)

282

Citations(since 2020)

176

Cited By

166

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

University of Asia Pacific

Google Scholar

View Google Scholar Profile

Dr. Bilkis Jamal Ferdosi Skills & Research Interests

Data Analytics

Medical Image Processing

Information Visualization

Top articles of Dr. Bilkis Jamal Ferdosi

Title

Journal

Author(s)

Publication Date

Modeling and Classification of the Behavioral Patterns of Students Participating in Online Examination

Human Behavior and Emerging Technologies

BJ Ferdosi

M Rahman

AM Sakib

T Helaly

2023/12/30

Tracking Digital Device Utilization from Screenshot Analysis Using Deep Learning

Bilkis Jamal Ferdosi

Mohaomd Sadi

Niamul Hasan

Md Abdur Rahman

2023/2/17

Medical Text Extraction and Classification from Prescription Images

Abdullah Mohammad Sakib

Bilkis Jamal Ferdosi

Sabrina Jahan

Kashfia Jashim

2022/12/17

Keeping the Integrity of Online Examination: Deep Learning to Rescue

Towhidul Islam

Bushra Rafia Chowdhury

Ravina Akter Youki

Bilkis Jamal Ferdosi

2022/9/30

Identifying counterfeit medicine in bangladesh using deep learning

Bilkis Jamal Ferdosi

Mashroor Ahmed Sakib

Md Sirazul Islam

Joy Dhar

2021/5/29

Unified Approach for White Blood Cell Segmentation, Feature Extraction, and Counting using Max-Tree Data Structure

International Journal of Advanced Computer Science and Applications

Jamal Ferdosi Bilkis

2020

See List of Professors in Dr. Bilkis Jamal Ferdosi University(University of Asia Pacific)