L. N. Prakash Kumar Ponnuru

P. L. N. Prakash Kumar is an Assistant Professor in the School of Computing, Department of Artificial Intelligence and Machine Learning, Vishnu Institute of Technology, Bhimavaram. He graduated and completed his M.Tech., (CSE) degree at Acharya Nagarjuna University in 2010. Since 2010, he has worked on several real time projects in the domains of Artificial Intelligence and Machine Learning. He is the reviewer for the International Conference on Emerging Trends in IOT and Computing Technologies, 2022, organized by Goel Institute of Technology & Management, Lucknow (UP), India, in association with CRC Press (Taylor & Francis Group). One notable achievement is the Google Certifier for Data Analytics in May 2023. As a result of this professional certification, the faculty member will be equipped with the necessary skills and knowledge to effectively teach and train students in the field of data analytics. This will also enable them to conduct research and contribute to the development of new technologies in this rapidly evolving field. As the demand for skilled professionals in data analytics continues to grow, this certification will position both the faculty member and the institute as leaders in this exciting field. This individual's interests align with the institute's focus on emerging technologies, including Big Data Analytics, Artificial Intelligence and Machine Learning, Deep Learning, and Natural Language Processing (NLP). The institute's commitment to staying ahead of the curve ensures that graduates are equipped with the skills necessary to succeed in their careers.

Publications

Innovative Machine Learning Applications for Cryptography: Encryption Techniques in Machine Learning - A Concise Overview
Innovative Machine Learning Applications for Cryptography: Encryption Techniques in Machine Learning - A Concise Overview
Venkata Naga Rani Bandaru, Visalakshi P., L. N. Prakash Kumar Ponnuru, Shaik Mohammad Rafee, Suresh Kumar G.. © 2024. 17 pages.
The synergy between machine learning and encryption fortifies data security and privacy. This comprehensive overview delves into pivotal encryption methods in ML, spotlighting...