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Dr. K Shahu Chatrapati
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Dr. K. Shahu Chatrapati

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About

Dr. K. Shahu Chatrapati

Professor, Computer Science & Engineering

Dr. K. Shahu Chatrapati has over 21 years of experience in teaching and research. His areas of expertise include Machine Learning, Grid Computing, Ad-hoc & Wireless Sensor Networks, Data Warehousing & Mining, Big Data, Computer Networks, Software Engineering, Compilers, Theory of Automata, Distributed and Cloud Computing. He has guided 20+ PhD scholars and published 50+ papers in reputed journals.

2006 - 2009 Assistant Professor, UCEK /JNTU ,KAKINADA
2009 - 2010 Assistant Professor, JNTUH UCEJ /JNTU ,HYDERABAD
2010-2016 Assistant Professor, JNTUH UCEM /JNTU ,HYDERABAD
2016-2019 Associate Professor, JNTUH UCEM /JNTU ,HYDERABAD
2019-2021 Professor, JNTUH UCEM /JNTU ,HYDERABAD
2021-Present Professor & Head, CSE Department, JNTUH UCEH /JNTU ,HYDERABAD
Department of Computer Science & Engineering

Research Domains

AI

Machine Learning, Deep Learning, NLP, Computer Vision

Data Science

Big Data Analytics, Data Mining, Visualization

IoT

Smart Sensors, Embedded Systems, Industry 4.0

Cybersecurity

Network Security, Cryptography, Blockchain

Research Scholars

D Srinivas

Cybersecurity

ongoing
Thesis Title

A Unified Quantum-Resilient and Secured AI Framework for Next-Generation Autonomous Critical Infrastructure

The rapid transition toward next-generation autonomous infrastructure including 6G and 7G communication networks, cloud-native ecosystems, and smart grid has fundamentally expanded the global cyber-attack surface, rendering traditional signature-based security inadequate. Current literature identifies Artificial Intelligence (AI) as the critical enabler for these networks, providing the intelligence necessary to manage massive data rates and ultra-low latency while securing distributed architectures like Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). However, these advancements face a dual threat: the vulnerability of current cryptographic standards to future quantum-powered decryption and the inherent "black box" nature of complex AI models, which prevents human-verifiable oversight in mission-critical environments. To bridge this gap, recent research advocates for a shift toward Quantum-driven Zero Trust Architectures (ZTA) that utilize continuous authentication and quantum-resistant foundations to ensure data integrity across decentralized infrastructure nodes.

Year: 2025

Publications

TitleJournalYear
AI in HealthcareIEEE TAI2023

Funded Projects

Contact

drkshahu@drkshahuchatrapati.in

research@drkshahuchatrapati.in

phd@drkshahuchatrapati.in

office@drkshahuchatrapati.in