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Dr.Saveetha.V

Assistant Professor(Sr.Grade)

Dr.Saveetha.V

Department of Computer Science & Engineering

Assistant Professor(Sr.Grade)

B.E., M.E., PhD (CSE)

2025-06-02

Faculty Description

Faculty Description

 

Dr. Saveetha. V is an Assistant Professor (Sel. Gr.) in the Department of Computer Science Engineering at Sri Ramakrishna Engineering College, Coimbatore, India. With over 15 years of teaching experience, she is recognized for her commitment to academic excellence. Dr. Saveetha. V completed her Bachelor of Engineering (B.E.) in Computer Science and Engineering from Madras University in 2001. She further honed her expertise by earning a Master of Engineering (M.E.) in Computer Science and Engineering from Anna University in 2010. Driven by her passion for research and innovation, she obtained her Doctorate (Ph.D.) in [ICE] from Anna University in 2020. She is also a Software Tester for a short period of her tenure.

A prolific researcher, Dr. Saveetha. V has contributed extensively to the field of computer science through her publications in several reputed international and national journals, as well as conferences. Her research interests primarily include Data Mining, HPC and Machine Learning where she continues to explore novel methodologies and applications. She is a life member of prestigious professional bodies such as the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). These affiliations reflect her commitment to staying at the forefront of technological advancements and professional development.

 

Awards and Recognitions:

NPTEL Domain Certification in Data Science (2022) - Recognized for her expertise and dedication to continuous learning.

NPTEL Discipline Star - Awarded for her enthusiastic participation and outstanding performance in NPTEL courses.

UpSkill Certificate in Cambridge Assessment English (CEFR Scale B1, January 2022): Validating strong proficiency in English communication skills.

 

Areas of Expertise:

Data Mining, Machine Learning, Artificial Intelligence, Big Data Analytics, High Performance Computing, Software Testing