PRAVEENKUMAR GOPAGONI
Assist Professor · Geetanjali College of Engineering and Technology
Research Interests
Federated learning, Machine Learning
Biography
G. Praveen Kumar is a Senior Assistant Professor and Java Trainer at Geethanjali College of Engineering and Technology, Hyderabad, with over 19 years of academic experience in Computer Science and Information Technology. He is currently pursuing a Ph.D. in Computer Science and Engineering from Mahindra University, Hyderabad, and has successfully completed his coursework. He received his MTech degree in Computer Science and Engineering from JNTU Hyderabad, and his M.Sc. and B.Sc. degrees in Computers from Osmania University. His research interests include Machine Learning, Federated Learning, data mining, privacy-preserving data analytics, distributed systems, Data Structures, Cloud Security, Cryptography and Network Security and cloud computing. He has published research articles in national and international journals focusing on association rule mining, privacy protection in distributed environments, and optimization-based task scheduling. He holds two published patents titled Multi-
Education
G. Praveen Kumar is a Senior Assistant Professor and Java Trainer at Geethanjali College of Engineering and Technology, Hyderabad, with over 19 years of academic experience in Computer Science and Information Technology. He is currently pursuing a Ph.D. in Computer Science and Engineering from Mahindra University, Hyderabad, and has successfully completed his coursework. He received his MTech degree in Computer Science and Engineering from JNTU Hyderabad, and his M.Sc. and B.Sc. degrees in Computers from Osmania University. His research interests include Machine Learning, Federated Learning, d...
Recent Google Scholar Publications
- 7G WIRELESS NETWORKS: HARNESSING TERAHERTZTO-LIGHTWAVE FOR ULTIMATE CAPACITY
- Federated Learning-Driven Optimization of Wake-Up Scheduling in Dense IoT Networks
- WSO: An Intelligent Metaheuristic Driven High Performance Task Scheduling in Cloud Computing
- Distributed elephant herding optimization for grid-based privacy association rule mining
- Improved Privacy Protecting in Distributed Grid Data Resource using Multiplicative Perturbation Based on Frequent Decision Classifier
Links
- ORCID https://orcid.org/0000-0003-3043-5745
- Google Scholar https://scholar.google.com/citations?user=JKcAu-8AAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=https%3A%2F%2Forcid.org%2Fmy-orcid%3Forcid%3D0000-0003-3043-5745
- Personal Weblink https://vidwan.inflibnet.ac.in/myprofile