Dr C V Krishnaveni
SKR & SKR GCW(A), Kadapa, Jawaharlal Nehru Technological University, Hyderabad
About
Dr. C. V. Krishnaveni is a Lecturer in Computer Science at SKR & SKR Government College for Women (Autonomous), Andhra Pradesh, India. She earned her Ph.D. in Machine Learning from University of Hyderabad and has over 15 years of teaching and research experience.
Her research focuses on machine learning, class imbalance learning, and AI-driven educational systems. She works on developing innovative methods for handling imbalanced data, including relabeling strategies, self-supervised learning, and prompt-based approaches using large language models.
She is also actively involved in academic quality assurance, contributing to NAAC accreditation, NIRF processes, and institutional development. Her work integrates artificial intelligence with education to improve learning outcomes, automate quality processes, and support data-driven decision-making in higher education.
Employment
-
SKR & SKR GCW(A), Kadapa Lecturer2018 - Present
Education
-
Jawaharlal Nehru Technological University, Hyderabad M.Tech2005 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Leveraging Digital Library Infrastructure for Quality Excellence A Conceptual Framework for INFLIBNET's Role in NIRF Rankings and NAAC Accreditation in Indian Higher Education Save
- Qiskit Quantum Playground: Interactive Quantum Learning Framework (v1.0.0) Save
- AAI Lab Solution Manual APPLICABLE TO COMPUTER SCIENCE, DATA SCIENCE, ARTIFICIAL INTELLIGENCE, COGNITIVE SYSTEMS, DATA ANALYTICS, CLOUD COMPUTING, CYBER SECURITY AND ANY OTHER COMPUTER SCIENCE ALLIED STREAMS Save
- Applicable to Mathematics, Physics, Chemistry and any other Mathematical Sciences Applications of Artificial Intelligence Lab Solution Manual Save
- Foundations of Data - Types, Ethics and Utility in Building Applications using AI Save
- The AI Data Pipeline: From Collection to Model Readiness Save
- Infrastrucutre and Platforms for Building Applications using AI Save
- Machine Unlearning : A Comprehensive Survey and Unified Framework Save
- Mastering Excel: Beginner, Intermediate, and Advanced Levels Save
- Simulated annealing based undersampling (SAUS): a hybrid multi-objective optimization method to tackle class imbalance Save