Mrs. Vidya V V
Assistant Professor
, Dept. of Computer Science & EngineeringDepartment of Computer Science & Engineering
- [email protected]
- Teaching Experience
- 8 years
- Industry Experience
- 0.0 years
- Research Experience
- 3.2 years
Educational Qualifications
| 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) | Deep Learning and Image Processing | Sahyadri College of Engineering and Management Mangaluru | VTU, Belagavi |
Past Experience/University Level Assignments/College Level Assignments
- Lecturer at Govt College of Engineering, Kannur,Kerala from August 2007 to July 2009.
- Lecturer at College of Engineering , Thrikaripur, Kasargod from August 2009 to January 2010.
- Assistant Professor at Sahyadri College of Engineering and Management from October 2019 to August 2020.
Departmental Responsibilities
- CIE COORDINATOR
- MINI PROJECT COORDINATOR
- InPulse Coordinator
- Module Coordinator
- CIE Moderation Committee Convener
Professional Body Membership
- IAENG- International Association of Engineers
Subject Teaching / Handled
- Database Management Systems
- Database Management Systems Laboratory
- DataStructures and Algorithms
- Data Structure Laboratory
- Design and Analysis of Algorithms
- Design and Analysis of Algorithms Laboratory
- Computer Graphics and Visualization
- Artificial Intelligence and Machine Learning
- Data Communications and Networks
- Operating Systems
- Computer Graphics and Visualization Laboratory
Research
Areas of Interest
- Machine Learning, Image Processing
Ph.D. SUPERVISION
No research supervision details available.
Awards / Grants
No awards or grants details available.
Funded Projects
No funded projects available.
Publications
Journal
- 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
Conference
- 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
Book / Book Chapter
No book details available.
Patents
No patent details available.
FDPs / Workshops
Attended
- FDP on Java Programming conducted by the Incture
- National Level FDP on Intelligent Systems with DeepLearning and Reinforcement Learning Organized by Mevi Technologies LLP , Bengaluru
- Fundamentals of Accelerated Computing with CUDA Python
- FDP on The foundation and Future of Quantum Computing
- Working Committee member in Techvision 2025
- Attended one week offline FDP program on High Performance Computing and AI
- Organizing Member of the Oral Presentation Session Handling Committee at the IEEE Second International Conference COSMIC 2025
Organised
No FDP organised details available.
MOOC Certifications
No MOOC certificates available.
Other Details
No certification details available.