PG: CSE, JNTUK, 2014
UG: IT, JNTUK, 2010
Teaching Experience: 5+years
Contact Number: 6374155812
BVRITN Employee ID: BVRIT01189
JNTUH Registration ID:
AICTE Registration ID:
- Machine Learning
- Deep Learning and Artificial intelligence
- Image Processing
“Privacy Preserving Data Publishing Using Slicing”
Journal: International Journal of Research in Computer Science Engineering
- Vengaiah, Cheemaladinne, and M. Priyadharshini. “CNN Model Suitability Analysis for Prediction of Tomato Leaf Diseases.” In 2023 6th International Conference on Information Systems and Computer Networks (ISCON), pp. 1-4. IEEE, 2023. Published (IEEE Scopus Indexed Conference).
- Sayyad Rasheed Uddin and Ch Vengaiah “Thyroid Nodule Detection Through Machine Learning Algorithm “in the Conference of “International Conference on Trends in Information Management Engineering and Sciences-2017 “(ICTIMES-2020).
- M Ghan Raj and Rasheed Ch Vengaiah “a state of the art of databases to improve the storage efficiency on cloud computing “in the Conference of “International Conference on Trends In Information Management Engineering And Sciences- “(ICTIMES-2019).
- Vengaiah and Dr. SunilTekale “Strongly Providing Security Multi-Cloud Computing Environment Framework”in the Conference of “International Conference on Trends in Information, Management, Engineering and Sciences “(ICTIMES-2017)
FDPs/ Workshops/Seminars/Training Programs:
- Personality development training (2011)
- Industrial visit in HCL technology, Chennai
- Workshop training in Data mining
- Deep Learning &IOT Technologies in Precision Health car .