Dr. Anne Venkata Praveen Krishna
Professor & HoD · Department of CS & IT · KL University

Teaching. Research.
Leading with Purpose.

I'm a Professor and Head of the Department of CS & IT with 19+ years of experience in teaching, research, and institutional leadership, specialising in Network Security, AI & ML, and IoT.

About Me
5x Best Teacher Award
4 PhD Awardees Guided
Dr. Anne Venkata Praveen Krishna Portrait

About Me

  • Ph.D in CSE

    Kanchipuram University · Sept 2019

  • M.Tech in CSE

    KLCE & ANU · June 2010

  • 19+ Years Teaching

    Professor · Associate Prof · Asst. Prof

  • Professional Memberships

    CSI · ISCA · Cryptology Research Society

I'm a Professor in the Department of Computer Science & IT at KL University, Vijayawada. I hold a Ph.D. from Kanchipuram University (2019) and an M.Tech from KLCE & ANU (2010). Over my career I have served as HoD & Chairperson and as Deputy HoD for Placements, during which I achieved 100% placements for 6 consecutive years, facilitating offers from Google, Amazon, Microsoft, Barclays, JPMorgan, and AT&T.

My research spans network security, intrusion detection systems, AI & ML, and IoT. I have 75 publications across SCI/IEEE, Scopus, and Google Scholar, including 15 in SCI/IEEE, with a Scopus h-index of 6 and 116 citations. I hold 3 patents, have authored 3 book chapters, and have guided 4 PhD awardees and 35 B.Tech/M.Tech projects.

I teach Computer Networks, AI, Blockchain & Cryptocurrency, DBMS, and Computer Architecture. I have been recognised with the Best Teacher Award 5 times, and most recently received the "Icon of Academic Innovation Award" (2024) by AIMER Society and the "Best Computer Science Faculty" (2012) by the Govt. of Puducherry.

Research Focus

My research sits at the intersection of network security, intrusion detection, AI & ML, and IoT. I focus on building safer, smarter systems, from protocol-level security in wireless sensor networks to AI-driven anomaly detection for smart cities, healthcare, and industry.

IoT Security

Identifying vulnerabilities in low-power devices and designing efficient algorithms that detect anomalies without draining device resources.

Intrusion Detection

Developing deep-learning-based IDS for IPv6 networks, achieving 95% accuracy in simulations to protect emerging technologies.

AI & ML Applications

Applying machine learning and deep learning techniques to solve complex security problems, from anomaly detection to predictive modelling for network threats.

Blockchain & Cryptocurrency

Researching decentralised systems, distributed ledger technology, and cryptographic protocols for secure and trustless digital transactions.

Green Computing

Exploring energy-efficient computing architectures and sustainable approaches to managing growing computational demands in modern infrastructure.

Teaching Philosophy

"I strive to make learning active, applied, and industry-ready."

Across 19+ years of teaching, I have combined lectures with hands-on application in subjects like Computer Networks, AI, Blockchain & Cryptocurrency, DBMS, and Computer Architecture. I have guided 35 B.Tech and M.Tech projects and mentored 4 PhD awardees.

My goal is for students to build real-world skills. I have been recognised with the Best Teacher Award 5 times, and have consistently driven 100% placement outcomes during my tenure as Deputy HoD for Placements.

Computer Networks (CN & CNS)

AI & Blockchain

Computer Architecture (CA & CD)

DBMS

Selected Publications

I have 75 publications across SCI/IEEE, Scopus, and Google Scholar, with a Scopus h-index of 6 and 116 citations. My work covers intrusion detection, network security, IoT, and blockchain.

View Full List
IEEE Journal

Deep Learning-Based Intrusion Detection for IPv6 Networks

A. V. Praveen Krishna, et al. • Published in IEEE Transactions on Network Security

Book Chapter

Energy-Efficient Encryption for Resource-Constrained IoT Devices

A. V. Praveen Krishna • Published in Advances in IoT Security