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Prof. Ilaiah Kavati

PhD (University of Hyderabad)

Assistant Professor Gr-I

Department of Computer Science and Engineering

Room No: CS144, Ground Floor, E & ICT Building, Department of CSE +91-870-2462718
ilaiahkavati@nitw.ac.in
9848916272 Edit Profile Bio Sketch

Research Areas

 Biometric Security

 Deep Learning

  Image/Video Processing

  • Courses Handled
  • Research IDs
  • Selected Publications
  • Project/Consultancy
  • Current PhD Students
  • Awards and Accolades
  • Additional Responsibilities
  • Operating System Concepts(CS5302)
  • Biometric Security(CS26021)
  • Summer Internship/EPICS(CS449)
  • Operating System Concepts Lab(CS5306)
  • Computer Architecture(CS253)
  • Web Programming Lab(CS1108)
  • Biometric Security(CS5217)
  • Machine Learning Laboratory(CS356)
  • Data Structures(CS182)
  • ORC ID: 0000-0002-2659-2329
  • SCOPUS ID: 56286935100
  • Google Scholar ID: KmLAXrEAAAAJ


  • Human Violence Detection in Videos Using Key Frame Identification and 3D CNN with Convolutional Block Attention Module, By Venkatesh Akula, Ilaiah Kavati, Springer, Circuits, Systems, and Signal Processing, vol.43(12), pp.7924-7950, 2025
  • CCLHF-Net: Constrained Convolution Layer and Hybrid Features-Based Skip Connection Network for Image Forgery Detection, By Koyya Deepthi Krishna Yadav, Ilaiah Kavati, and Ramalingaswamy Cheruku, Springer, Arabian Journal for Science and Engineering, vol.50 (2), pp.825-834, 2025
  • Secure and transparent pharmaceutical supply chain using permissioned blockchain network, By ES Babu, Ilaiah Kavati, Taylor & Francis, International Journal of Logistics Research and Applications , vol.27 (12), pp.2839-2866, 2024
  • Sentiment classification with modified RoBERTa and recurrent neural networks, By R Cheruku, K Hussain, Ilaiah Kavati, Springer, Multimedia Tools and Applications, vol.83(10), pp.29399-29417, 2024
  • Enhanced resource provisioning and migrating virtual machines in heterogeneous cloud data center, By DRVemula, MK Morampudi, Ilaiah Kavati, Springer, Journal of Ambient Intelligence and Humanized Computing, vol.14 (9), pp.12825-12836, 2023
  • Complex Human Activity Recognition with Deep Inception Learning and Squeeze Excitation Framework., By Ilaiah Kavati, V Akula, ES Babu, R Cheruku, MIR Labs, USA, Journal of Information Assurance and Security , vol.17 (2), pp.80-91, 2022
  • Design of a fingerprint template protection scheme using elliptical structures, , By Ilaiah Kavati, E. Suresh Babu, Ramalinga Swamy Cheruku, Elsevier, ICT Express, vol.7(4), pp.497-500, 2021
  • A Score-Based Indexing and Retrieval Technique for Biometric Databases, By Ilaiah Kavati, Munaga VNK Prasad, Chakravarthy Bhagvati, World Scientific, Journal of Pattern Recognition and Artificial Intelligence, vol.31(6), pp.1-21, 2017
  • A clustering-based indexing approach for biometric databases using decision-level fusion, By Ilaiah Kavati, Munaga VNK Prasad, Chakravarthy Bhagvati, Inderscience, International Journal of Biometrics, vol.9(1), pp.17-43, 2017
  • A secure palmprint authentication system using chaotic mixing and watermarking, By Ilaiah Kavati, Munaga V. N. K. Prasad, Inderscience , International Journal of Biometrics, vol.6(4), pp. 321-334, 2014


Akula Venkatesh (Institute Fellowship)

  • Area of Research: Human Violence Recognition

Ananth Nath Talla (Part Time)

  • Area of Research: Image Processing

Kiranmaie P (Part Time)

  • Area of Research: Traffic Violation Detection

Koyya Deepthi Krishna (Institute Fellowship)

  • Area of Research: Forgery Detection

Mounika M (Part Time)

  • Area of Research: Medical Imaging

Ramakrishana Marri (Part Time)

  • Area of Research: Reversible Data Hiding

Riyaz M (Part Time)

  • Area of Research: Video Anomaly Detection

Soujanya P (Part Time)

  • Area of Research: Image Processing

Srinivas Dara (IDRBT Fellowship)

  • Area of Research: Hardware Security

Suresh K (Part Time)

  • Area of Research: Image Processing
  • Faculty In-charge: Summer Internship/EPICS (Continuing from July, 2024)
  • ERP Coordinator - CSE (Continuing from May, 2023)
  • Faculty-In-Charge, Email (Continuing from May, 2023)
  • Faculty In-charge: Time Table (July, 2021 - December, 2024)
  • Faculty Advisor (July, 2018 - May, 2021)