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Ms. SAVITRI KULKARNI

                                                                                                                                                                                                    

 Designation  Assistant Professor
 Qualification  B.E (CSE), M.E (CSE), (Ph.D)
 Experience  Teaching:  14 years
 Area of Interest  Deep Learning, Machine Learning
 Date of Joining RVCE  16/02/2024
 Email savitrikulkarni@rvce.edu.in

Project Guided:

Number of UG projects guided: 04

Number of PG projects guided: 01

PUBLICATIONS:
International Journals:4
International Conferences:5

 

International Journals:
1. Savitri Kulkarni,” Leaf Disease Identification and Remedy Recommendation”, International Journal of Science, Engineering, and Technology.
2. Savitri Kulkarni, Rajatha, Dr. Krishna A.N,” Gaze Based Smart Eye Tracking System for Password Authentication”, International Journal of Innovative Research in Science,
Engineering, and Technology.
3. Savitri Kulkarni, Annapurna N S “Knowledge-Based Face Detection Using Fusion Features”, International Conference proceedings of the ICCSTAR-2016, IJCSE.
4. Savitri Kulkarni, Pooja J, Sandhya M R, “IOT: Protocols and Applications” International Conference proceedings of the ICCSTAR-2016, IJCEA.

 

International Conferences:
1. Published in IEEE for “Offensive Sentiment Detection with Chat GPT and other Transformers in Kannada”, 2023 IEEE 2nd International Conference on Data, Decision, and  Systems (ICDDS) | 979-8-3503-1416-8/23/$31.00 ©2023 IEEE | DOI: 10.1109/ICDDS59137.2023.10434684.
2. Published in IEEE for “Detection of Coffee Leaf Diseases using DenseNet-264 and SLIC Segmentation”, 2023 10th IEEE Uttar Pradesh Section International Conference on
Electrical, Electronics and Computer Engineering (UPCON).
3. Published in IEEE for “Coffee Plant Disease Identification using Enhanced Short Learning EfficientNetV2”, 2023 IEEE 20th India Council International Conference (INDICON).

4. A paper published in Springer Nature for publication in their prestigious Lecture Notes in Networks and Systems (LNNS) series with the title CoffeeGAN: An Effective Data
Augmentation Model for Coffee Plant Diseases in ICDMAI.
5. Savitri Kulkarni and Jikki Jose gave a presentation on “Integrating Android OS with Embedded Linux for Limited Resource Devices” in Recent advances in technology from 21 st -
22 nd March 2012 at T. John Institute of Technology.

 

FDP details:

  • Participated in AI-MPOWER program “Educating Educators for a Data-driven Future” Fdp program by IISc zenteiQ and ARTPARK.
  • Participated in an Industrial training program by EDuXlab on Analyzing satellite data using Deep learning techniques.
  • Participated in a one-week FDP program on “AWS” by JNTUK UCEN and Brain o Vision.

 

Certification courses
i. Successfully completed the CLOUD COMPUTING NPTEL course with an Elite+Silver certificate.
ii. Successfully completed the IOT NPTEL course with a Top 1% Ranking in a course certificate.
iii. Successfully completed the DEEP LEARNING NPTEL course with an Elite certificate.
iv. Successfully completed the Python for Data Science NPTEL course with an Elite certificate.
v. Successfully completed the Introduction to Machine Learning NPTEL course with an Elite certificate.
vi. Completed a course on “Introduction to Generative AI” in Coursera.
vii. Completed a course on “Machine Learning Basics” in Coursera.

 

Professional Membership
1. ISTE -Life Time Member
2. IFERP – Professional Member
3. IAENG-Lifetime Member

 

 

 

 

Notifications / CIrculars