ANGONA BISWAS
Scholar

ANGONA BISWAS

Google Scholar ID: woiE2RUAAAAJ
BSc in Electronics and Telecommunication Engineering, CUET
Artificial IntelligenceMachine LearningDeep LearningFuzzy LogicImage Processing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
363
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
0
 
Contact
LinkedInOpen ↗
Resume
Academic Achievements
  • Has a ResearchGate and Google Scholar profile showcasing her research work.
Research Experience
  • Currently working on 'Feature Fusion' technique to improve the feature extraction process for image classification. Previously involved in a 'Brain Tumor Classification' research project.
Education
  • Graduated from Chittagong University of Engineering and Technology with a B.Sc. in Electronics and Telecommunications Engineering in 2022.
Background
  • Research interests include Artificial Intelligence, Image processing, Data Science, Fuzzy Logic, Automation, Robotics, and Radar System. Has experience in research based on Machine and Deep Learning algorithms, and has worked on a 'Brain Tumor Classification' project in the Biomedical sector.
Miscellany
  • Passionate about pursuing a post-graduation degree and is working hard to find a fully-funded PhD program. Member of IEEE since 2019, served as Vice Chairperson of IEEE CUET WIE SB (2020-2022), actively organizing technical events and encouraging more female students to join the technical network. Volunteered as an Ambassador for IEEE PES DAY, successfully organized two technical events on campus.