Rate My Professor V. Naga Gopi Raju

Dr. V. Naga Gopi Raju, known professionally as the Head of Department and Professor in the Department of Computer Science and Engineering (Artificial Intelligence) at Chalapathi Institute of Engineering and Technology, Guntur, holds a Doctor of Philosophy degree. He joined the institution on June 6, 2012, as an Associate Professor and has advanced in his role overseeing the CSE (AI) department. Additionally, he serves as the IQAC Coordinator, contributing to internal quality assurance processes, and is a member of the Anti-Ragging Committee, Academic Council (Autonomous), and other governance bodies such as the Research & Development Committee. Department records highlight his academic output, including three paper publications, two entries in NPTEL/Coursera certifications, and two patents.

Dr. Raju's research specializations and academic interests span quantum cryptography, quantum error correction, quantum computing, machine learning, cybersecurity, Internet of Things (IoT), cloud computing, genomic data analysis, UAV networks, road accident prediction, ensemble learning, deep learning (CNN), hybrid cryptosystems, blockchain, e-commerce security, and multicasting security. He maintains an active scholarly presence with 19 publications on ResearchGate, accumulating 399 citations and 2,332 reads. Key publications include 'Quantum Cryptography and Key Distribution for Secure Communication in the Post Quantum World' (2025), 'Design and Simulation of Quantum Error Correction Codes for Scalable Quantum Architectures' (2025), 'Integrating Quantum Computing with Genomic Data Analysis: A Next-Generation Approach for Predicting Disease Susceptibility' (2025), 'Enhancing UAV Network Efficiency: A Multi-Agent DRL Approach for Joint User Association And Trajectory Optimization' (2025), 'Optimized Multitask Scheduling in Cloud Computing Using Advanced Machine Learning Techniques' (2025), 'An Effective Method for Detecting Cyber Attacks on Computer Networks from the NSL-KDD Data Set' (2025), and 'Ensemble Learning Algorithms based on Road Accident Data Prediction' (2025). Earlier contributions address wireless sensor networks and mobile ad hoc networks, such as clustering routing protocols to maximize lifetime and proactive source routing schemes. As Head of Faculty in CSE, his work supports advancements in emerging technologies aligned with the department's focus on producing competent engineers in artificial intelligence and related fields.