Dr. N. Chaitanya Kumar

Research & supervision

03 / RESEARCH

Security at the core.
Intelligence in application.

RESEARCH AREA 01

Cryptography & information security

Elliptic curve cryptography, bilinear pairings, identity-based encryption and secret-sharing schemes.

RESEARCH AREA 02

Distributed & networked systems

Distributed public-key infrastructure, mobile ad hoc networks, authentication and resource-constrained computing.

RESEARCH AREA 03

Multimodal artificial intelligence

Visual question answering, natural language processing and speech-emotion recognition.

RESEARCH AREA 04

Applied machine learning

Medical-image analysis, cybersecurity attack detection and intelligent-system applications.

Research supervision

POSTGRADUATE RESEARCH

7 completed M.Tech. dissertations

Dissertation supervision at SNIST under JNTU Hyderabad, 2014–2020. Topics include attribute-based encryption, secret sharing, MANET security, IoT authentication and web-application fault localization.

DOCTORAL RESEARCH

9 Ph.D. scholars

1 submitted · 8 in progress

Ph.D. research scholars

NameRegistration / referenceResearch title / areaStatus
Y. Harika Devi193030087Multimodal Deep Learning Architectures for Enhanced Visual Question Answering Using Attention and Language IntelligenceSubmitted
Koiloth S CH S Harini2312031071Enhance Data Security and Privacy in Mobile Devices Using ECC Integrating with Machine Learning AlgorithmsIn progress
Sujatha Godavarthi2412031050Machine Learning and Deep Learning for IoT-Based Heart Disease PredictionIn progress
Suneeta Netala2412031052Blockchain, Information Security and CryptographyIn progress
Ch. Veena2412031072Intelligent Multifactor Authentication for Enhanced Security: Leveraging Machine Learning TechniquesIn progress
Lahari Mekala2412031095Multilingual and Multimodal Speech Emotion Recognition Using Deep LearningIn progress
Bathala Subbarayudu2412031098Deep Learning and Medical Imaging for Lumbar Spine Disc Degeneration Detection and ClassificationIn progress
Inguva Vijay Kumar2412032007A Study on Performance Optimization Through Early Detection of Cyber Attacks and Enhancing the Communication Speed in IoT Using AI and Optimization AlgorithmsIn progress
Swathi Alluri2600061Allotment referenceBlockchain, Information Security and CryptographyIn progress

Research directions

VISUAL QUESTION ANSWERING

Visual attention meets
language intelligence.

Research on hybrid deep-learning architectures for context-aware visual question answering, bringing together visual attention and language intelligence.

RESEARCH RECORD

Journal work, conference contributions and preprints.