Dr. K. Srinivasa Rao | Interdisciplinary Journal of AI, Machine Learning & Data Science

Editorial Board Member

Name: Dr. K. Srinivasa Rao

Affiliation:
Professor, Department of CSE (AI & ML),
G. Pulla Reddy Engineering College, Kurnool, Andhra Pradesh, India
Ph.D. – Computer Science and Engineering

Address:
G. Pulla Reddy Engineering College
G. Pulla Reddy Nagar, Nandyal Road
Kurnool – 518007
Andhra Pradesh, India

Email: ✉️ [email protected]

Academic Profiles:

Institutional Profile Google Scholar

Professional Overview

Dr. K. Srinivasa Rao is a Professor in the Department of Computer Science and Engineering at G. Pulla Reddy Engineering College, Kurnool, Andhra Pradesh. With extensive experience in teaching, research, academic administration, and student mentoring, he has made significant contributions to higher education and computing research.

His academic and research activities encompass computer science, data mining, web mining, machine learning, artificial intelligence, cybersecurity, cloud computing, and emerging intelligent systems. He has supervised numerous undergraduate and postgraduate projects, published extensively in national and international journals, and actively contributes to research, innovation, and academic quality enhancement initiatives.

Dr. Rao has authored books, book chapters, patents, and research articles, served as conference presenter and reviewer, and regularly participates in faculty development programmes, workshops, and professional development activities in advanced computing technologies.

Research Interests

Artificial Intelligence and Machine Learning
Data Mining and Web Mining
Cybersecurity and Network Security
Cloud Computing
Blockchain Technology
Internet of Things (IoT)
Text Mining and Information Retrieval
Data Analytics and Intelligent Systems

Teaching Areas

Data Mining
Artificial Intelligence
Machine Learning
Cloud Computing
Object-Oriented Programming
Data Structures
Database Management Systems
Computer Networks
Web Technologies
Cybersecurity

Research and Scholarly Contributions

Published more than 35 research papers in national and international journals and conference proceedings.
Extensive research contributions in Web Usage Mining, Data Mining, Search Engine Optimization, Machine Learning, Cybersecurity, Blockchain, Cloud Computing, and Artificial Intelligence.
Presented numerous research papers at IEEE, international, and national conferences.
Published books, book chapters, patents, design patents, and copyrighted innovations in emerging computing domains.

Patents and Intellectual Property

UK Design Patent – Artificial Intelligence Based Air Purifying Device (2025)
Design Patent – Wearable Cardiac ECG Signal Recording Device (2024)
Patent – Deep Learning Based Authentication in Mobile Cloud Computing Systems
Patent – Real Time Traffic Management Using IoT and Machine Learning
Patent – AI Based Virtual Surgery and Medical Procedure Assessment System
Patent – Blockchain Based Bio-Information Data Transfer System
Canada Copyright – Autonomous Vehicle Navigation System Using Advanced Machine Learning Techniques

Books and Book Chapters

AI & Robotics (2024)
Data Mining (2022)
Object Oriented Programming through Java (2021)
Book chapters in Artificial Intelligence, Cybersecurity, Deep Learning, Medical AI, and Image Processing.

Professional Activities

Resource Person on Generative AI and Emerging Technologies.
Regular participant in AICTE, ATAL, IEEE, and international Faculty Development Programmes.
Contributor to research initiatives in Artificial Intelligence, Quantum Computing, Cloud Computing, Data Science, and Cybersecurity.
Academic mentor for undergraduate and postgraduate research projects.