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Dr. A Kavitha

Dr. A Kavitha

M.E., B.Tech., Ph.D.

Assistant Professor (Sr.Gr.)

Information Technology
kavithaa@drngpit.ac.in

Biography

Kavitha A, She completed her Under graduate in Information Technology and her Post graduate in Computer science engineering under Anna University Chennai; and completed her PhD in image processing. She is having wide area of experience around 12 years in teaching. Her areas of Interest includes Image processing, Digital Signal processing and Java Programming. She delivered lecture in her research area as well as she is a JAVA trainer in ILP (Initial Learning Program)for TCS placed students. Worked in NAAC and NBA committee and also in IMC Ramkrishna Bajaj National Quality Award in Institute level.

Academic Credentials

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Degree Specialization Institute University Year of Passing
Ph.D. ICE DR.NGP INSTITUTE OF TECHNOLOGY ANNA UNIVERSITY 2024
M.E. COMPUTER SCIENCE AND ENGINEERING GOVERNMENT COLLEGE OF ENGINEERING ANNA UNIVERSITY 2014
B.Tech. INFORMATION TECHNOLOGY SSM COLLEGE OF ENGINEERING ANNA UNIVERSITY 2011

Academic & Professional Experience

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Experience / Role Type Organization Duration Total
ASSISTANT PROFESSOR (SS) Teaching DR.NGP INSTITUTE OF TECHNOLOGY Jun 2022 - Present 4 Years 1 Month
ASSISTANT PROFESSOR II Teaching BANNARI AMMAN INSTITUTE OF TECHNOLOGY Jun 2014 - Apr 2022 7 Years 11 Months
ADHOC LECTURER Teaching GOVERNMENT COLLEGE OF ENGINEERING, SALEM Aug 2011 - Aug 2012 1 Year 1 Month

Areas of Expertise

Image Processing C programming Java Programming Python Digital Signal Processing

Departmental Roles

BoS in-charge website in-charge Naac C1 in-charge Advisor 2022-26 batch

Journal Publications

  1. Annamalai Kavitha, Samuel Daniel Madan Raja , Palaniswami Sampath, FRUIT DISEASE CLASSIFICATION AND LOCALIZATION USING REGION BASED REGRESSION,Comptes rendus de l’Acad ́emie bulgare des Sciences,2024
  2. A. Kavitha, V. Ravichandran, A. N. Duraivel, S. Mohan, Hybrid Deep Stacking Ensemble for Accurate Fruit Disease Classification in Precision Agriculture, SN Computer Science (2025)

National/International Conferences

  1. Kavitha, A., Ramya, R., Rajkumar, T., Janani, B., Vishnu Priya, T.S., & Balaji, S. (2025). Integrating Ear Anatomy with Modern Biometric Authentication System. 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC), 1505-1510.
  2. Balaji, S., A. Kavitha, T. S. Vishnupriya, C. Kabil, and R. Ramya. 2026. "Synchro Store: AI-Powered Voice and Icon Based Billing System for Retail Operations." In 2026 International Conference on Visual Analytics and Data Visualization (ICVADV), 1596–1602. Tirunelveli, India: IEEE.
  3. Muthusamy, M., Ramya, R., Dhilip Balaji, D., Vishnu Priya, G., & Kavitha, A. (2025). Food Freshness and Expiry Detection using Deep Learning. 2025 5th International Conference on Mobile Networks and Wireless Communications (ICMNWC), 1-7.
  4. Pradeepa S, R. Ramya, A. Kavitha, T. Rajkumar, S. Subavarshini and C. R. Vetha Vikashini, "Identifying Viral Particles in CryoET using YOLOv5," 2025 6th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India, 2025, pp. 1295-1298, doi: 10.1109/ICOSEC67334.2025.11459609.

Patents

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Patent Title Date Reg. No. Status Level Funding
Fruit Disease detection using deep learning Techniques 2024 published