Ph.D.: VIT-AP University, 2024
PG: CSE, QIS College of Engineering and Technology, JNTUK, 2015
UG: IT, Chebrolu Engineering College, JNTUK, 2012
Teaching Experience: 6+years
Contact Number: 9603854491
BVRITN Employee ID: BVRIT0117
JNTUH Registration ID: 5398-160111-114746
- Machine Learning
- Deep Learning and Artificial intelligence
- Image Processing
- Cheemaladinne, V., & Reddy, S. (2024). Tomato leaf disease detection and management using VARMAx-CNN-GAN integration. Journal of King Saud University-Science, 36(8), 103340(SCI).
- Vengaiah, C., & Konda, S. R. (2024). A Comparative Study of Convolutional Neural Network Architectures for Enhanced Tomato Leaf Disease Classification Using Refined Statistical Features. Traitement du Signal, 41(1)(SCI).
- Vengaiah, C, & Konda, S. R. . (2023). A Review on Tomato Leaf Disease Detection using Deep Learning Approaches. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9s), 647–664. https://doi.org/10.17762/ijritcc.v11i9s.7479 (Scopus)
- Vengaiah, C., & Konda, S. R. (2023). Improving tomato leaf disease detection with denseNet-121 architecture. Int. J. Intelligent Syst. Appl. Eng, 11, 442-448(Scopus).
- Sreekanth, Cheemaladinne Vengaiah, (2024). Predictive Analytics for Precision Farming: Maximizing Crop Yields with Data Mining. Journal of Engineering and Technology Management,73,842-854(Scopus).
- Devarakonda Krishna, Ch. Vengaiah& M. Aharonu “A Private Cloud Data Sharing Using Secured Group Key” in the International Journal of Research (IJR-DEC2017)-e-ISSN: 2348-6848, p-ISSN: 2348-795X & Volume 04 Issue-17.
- VENGAIAH, S. VENU GOPAL “Feature Content Extraction in Videos Using Dynamic Ontology Rule Approach” in the Journal of “International journal of Computer & Organizations Trends”,DOI: 10.14445/22492593/IJCOT-V15P312 015).
Patent:
- Ch Vengaiah, Dr. Srinivasa Reddy Konda “A System Devoid of Vanishing Gradient Problem Enabling Tomato Plant Leaf Disease Detection and Method Thereof”, Patent No: 202341075779, Published: 15/12/2023.
- 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)
- Guest Lecture on Object Depth Estimation using Single RGB Camera (27th August 2022)
- Guest Lecture on Agile Tour – Modern Methodology of Software Delivery (3rd August 2022)
- Industry Guest Lecture on Microsoft Azure Cloud Platform (9 nth July 2022)
- Foreign Guest Lecture on Deep Learning in Medical Image Processing (6 th July 2022)
- 2nd One-Week Workshop on Technical Writing using LaTeX (Online) (April 7-13, 2022)
- SKILL DEVELOPMENT FOR ACADEMIC RESEARCH (21st – 25th March, 2022)
