Mrs. Vidya V V

Assistant Professor, Computer Science & Engineering

Teaching Experience

8 years Years

Industry Experience

0.0 Year

Research Experience

3.2 years Years

QUALIFICATION

COURSES	SPECIALIZATION	INSTITUTION	UNIVERSITY
BE	Computer Science & Engineering	Government College of Engineering, Kannur	kannur University
M Tech	Computer Science & Engineering	Canara Engineering College, Bantwal	VTU, Belagavi
(Ph.D)	-	Sahyadri College of Engineering and Management Mangaluru	VTU, Belagavi

Professional body Membership

Professional body Membership

Professional body Membership

IAENG- International Association of Engineers

RESEARCH

Current Research
Awards
Grants
Research Supervision

Current Research

Pursuing Ph.D. research on "Automated Detection and Classification of Concrete Cracks using Intelligent Vision Systems," focusing on deep learning, image processing, and computer vision techniques for structural health monitoring and automated infrastructure inspection.

Publications

International Journals
Conference Publication
Books/Book chapter published

International Journals

1)The research paper titled " CrackNet-VOS: An Intelligent Vision-Based Framework for Multi-Class Concrete Crack Classification by Type, Orientation, and Severity in Infrastructure Surfaces " is published in International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), a Scopus-indexed Quartile-3 journal

2)The research paper titled"A Comprehensive Review of Image-Based Concrete Crack Analysis Using Deep Learning " is published in Communications on Applied Nonlinear Analysis, Scopus Indexed Journal

3)The research paper titled"A Systematic Review on Leveraging Machine Learning and Deep Learning for Early Mental health Depression detection on Social Media Platforms ", is published in Scopus Indexed Journal

Patents

International Patents
Indian Patent

International Patents

No International Patents found

Conferences

International conference Attended
National conference Attended

International Conferences

1)IOT—Based Patient Health Monitoring System for Remote Locations Using ML Algorithms DOI:10.1007/978-981-96-7473-2_40 - Conference paper published in Springer conference proceedings

2)Intelligent Syllabus Mapping and Performance Analysis System Using NLP and Neural Networks Published in IEEE Xplore

3)Smart IoT-ML Ecosystem for Dynamic Pest Surveillance in Food Storage Environments is Published in IEEE

Others

FDP/ Workshop /Seminar Attended
FDP Organised
Certification

FDP/ Workshop /Seminar Attended

No FDP/ Workshop /Seminar Attendences found