
Mrs. Chaithrashree M
Assistant Professor
, Dept. of Computer Science & EngineeringDepartment of Computer Science & Engineering
- [email protected]
- Teaching Experience
- 2 Years
- Industry Experience
- 0 Years
- Research Experience
- 0 Years
Educational Qualifications
| COURSES | SPECIALIZATION | INSTITUTION | UNIVERSITY |
|---|---|---|---|
| BE | CSE | Srinivas institute of Technology valachil | VTU |
| M.Tech | CSE | SCEM | VTU |
Past Experience/University Level Assignments/College Level Assignments
- Member of Research interest group (AI&Computing) at Sahyadri from 2025 to till date.
Departmental Responsibilities
- NPTEL Coordinator
- Minor and Honours degree Coordinator
Professional Body Membership
- IFERP
- IAENG
Subject Teaching / Handled
- Machine Learning, Deep learning,Web technology, System software and compiler design, computer graphics, MongoDB
Research
Areas of Interest
- Machine learning and Deep learning
Ph.D. SUPERVISION
No research supervision details available.
Current Research
- Deep Learning
Funded Projects
No funded projects available.
Publications
Journals
Refereed Journals
No refereed journal details available.
Non-Refereed Journals
- Published a journal paper titled “Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques” in Scientific Reports, a Scopus indexed journal during 2024.
Conferences
- Presented a paper titled “Feature Extraction and Dimensionality Reduction in Multiclass Brain Tumor Classification” in IEEE International Conference on computing, Semiconductor , Mechatronics, Intelligent System and Communications (COSMIC-2024) held at Sahyadri College of Engineering and Management.
- Published a paper titled “Feature Extraction and Dimensionality Reduction in Multiclass Brain Tumor Classification” in IEEE Xplore.
- Presented a conference paper titled “A Fusion-Based Ensemble Approach for Early Diagnosis of Infectious Pulmonary Diseases Using Chest X-rays” in IEEE International Conference on computing, Semiconductor , Mechatronics, Intelligent System and Communications (COSMIC-2025) held at Sahyadri College of Engineering and Management.
- Published a conference paper titled “A Fusion-Based Ensemble Approach for Early Diagnosis of Infectious Pulmonary Diseases Using Chest X-rays” in IEEE Xplore
- Published a paper titled "Detection of Multiclass Pediatric Congenital Heart Defects using Deep Learning based Stacking Ensemble Method" in IEEE Xplore
Book / Book Chapter
Books Published
- • Published a book chapter titled “AI-Powered Recruitment and Talent Management: Transforming Workforce Strategies” in a scopus indexed book of IGI Global.
Book Chapters Published
No book chapter details available.
Patents
No patent details available.
FDPs / Workshops / Seminars
Attended
- • Attended Five Day FDP on “Industrial Applications of Artificial Intelligence and Data Science” held at NMAM Institute of Technology, Nitte in January 2024.
- • Attended Two Day FDP on Innovative methods in Teaching Learning held at Sahyadri College of Engineering and Management.
- • Participated and presented a paper titled “Feature Extraction and Dimensionality Reduction in Multiclass Brain Tumor Classification” in IEEE International Conference on computing, Semiconductor , Mechatronics, Intelligent System and Communications (COSMIC-2024) held at Sahyadri College of Engineering and Management.
- • Attended a one week FDP on “Research Problem Formulation and Identifying Predatory Journals” organized by Promind Research Academy.
- • Attended a one week FDP on “React Programming” organized by Incture.
- • Attended a one week FDP on “Effective Research proposal writing” organized by Promind Research Academy.
- • Attended a one week FDP on “AI innovation in computer vision” organized by NIT Warangal.
- • Attended 5 days Atal FDP on “Digital Forensics in Cyber Security” organized by Alvas Institute of Engineering and Technology”.
- Attended 3 day FDP on "Future Ready Teaching Practices" organized by IIT Mandi
MOOC Certifications
- Research Methodology - NPTEL (Elite Certificate)
Other Details
No other details available.