Designation Associate Professor
Years of Experience 10 Years
Department CSE-AIML
Email Id psrinu6634@gmail.com
JNTUH Unique Id 6389-160219-104729
Areas of Specialization AIML
UG Degree B.Tech - CSE
PG Degree M.Tech - CSE
Ph.D PhD
Joining Date 22-06-2018
Nature of Association Regular


Papers Published

Traffic rules violation detection using machine learning techniques

PS Reddy, T Nishwa, RSK Reddy, C Sadviq, K Rithvik
2021 6th International conference on communication and electronics systems …
Face Mask Detection using Machine Learning Techniques

PS Reddy, M Nandini, E Mamatha, KV Reddy, A Vishant
2021 5th International Conference on Trends in Electronics and Informatics …
Evaluating the performance of tree based classifiers using zika virus dataset

J Uma Mahesh, P Srinivas Reddy, N Sainath, G Vijay Kumar
Innovations in Computer Science and Engineering: Proceedings of the Fourth …
Join Operations to Enhance Performance in Hadoop MapReduce Environment

PK Pagadala, M Vikram, R Eswarawaka, PS Reddy
Proceedings of the 5th International Conference on Frontiers in Intelligent …
Student commentary using MAD and BigData

B Madhuravani, KS Prasad, P Srinivas Reddy
AIP Conference Proceedings 2492 (1)
Multi-linguistic optical character recognition

V Keerthika, PS Reddy, P Purushotham
AIP Conference Proceedings 2492 (1)
Monitoring Suspicious Discussion on Online Forum

PS Reddy, V Keerthika, KS Prasad, BA Kumar
Confidential Computing: Hardware Based Memory Protection, 47-56
A Study of Security Issues and Solutions in Cloud Computing

DDP Anandkumar B , P. Devika , P. Srinivasa Reddy
International Journal of Grid and Distributed Computing 13 (4), 3767 – 3772
Automatic attendance-System Using Face Recognition System

BAK P.Srinivasa Reddy, D.Divya Priya, V.Keerthika
International Journal of Grid and Distributed Computing 13 (4), 3778 – 3785
Adaptive image watermarking techniques using DTCWT

VK D. Divya Priya, P. Srinivasa Reddy
International Journal of Grid and Distributed Computing 13 (4), 3773 – 3777

Subjects Taught

1.Database Management Systems
2.Big Data Analytics
3.Artificial Intelligence
4.Introduction to R
5.Data Warehouse and Data Mining
6.Software Testing Methodologies
7.Predictive Data Analytics
8.Bigdata Analytics

Books Published