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Prof. Raju Bhukya

PhD (NIT Warangal)

Associate Professor

Department of Computer Science and Engineering

Room No: CS 210 +91-870-2462732
raju@nitw.ac.in Edit Profile Bio Sketch

Research Areas

 Bioinformatics, Agri-Informatics

  • Courses Handled
  • Research IDs
  • Selected Publications
  • Project/Consultancy
  • Current PhD Students
  • Awards and Accolades
  • Additional Responsibilities
  • Bioinformatics(CS6315)
  • Computer Organization(CS36003)
  • Seminar(CS6348)
  • Software Engineering(CS36002)
  • Software Engineering Principles(CSM06)
  • Computer Organization(CS4302)
  • Comprehensive Viva-voce(CS6347)
  • Computer Game Development and Animation(CS4304)
  • Software Architecture(CS5369)
  • Computer Organization and Architecture(CSM02)
  • Computer Architecture(CS253)
  • Problem Solving and Programming Lab(CS4306)
  • Web Technologies Lab(CS4357)
  • SCOPUS ID: 36967912700
  • Google Scholar ID: N_7roXsAAAAJ


  • An intelligent framework of heuristic approach-aided optimal gene selection and residual LSTM with MLP for disease prediction in rice crop using gene expression data, By Vijaya Lakshmi Adluri, Raju Bhukya, Springer London, Signal, Image and Video Processing, vol.19, pp., 2025
  • Identification of Diseases in Grape Leaves Based on Image and Convolutional Capsule Network, By Prasad Banoth, Dr Raju Bhukya, springer, Journal of Supercomputing, vol., pp., 2025
  • A New Approach to Cloud Resource Scheduling Using Genetic Reinforcement Kernel Optimisation and Machine Learning Model, By Prasad Banoth, Dr Raju Bhukya, springer, Journal of Supercomputing, vol., pp., 2025
  • Exploring coronavirus sequence motifs through convolutional neural network for accurate identification of COVID-19, By Praveen guguloth, Dr Raju bhukya, TAYLOR & FRANCIS LTD, Computer Methods in Biomechanics and Biomedical Engineering, vol., pp., 2024
  • Coot–Lion optimized deep learning algorithm for COVID-19 point mutation rate prediction using genome sequences, By Praveen Gugulothu, Raju Bhukya , Taylor & Francis Group, Computer Methods in Biomechanics and Biomedical Engineering, vol., pp., 2023
  • Chess pattern with different weighting schemes for person independent facial expression recognition, By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya, Springer US, Multimedia Tools and Applications, vol.81, pp., 2022
  • A sequence-based two-layer predictor for identifying enhancers and their strength through enhanced feature extraction, By Santhosh Amilpur, Raju Bhukya, World Scientific Publishing Company, Journal of Bioinformatics and Computational Biology, vol.20, pp., 2022
  • Texture based feature extraction using symbol patterns for facial expression recognition, By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya , Springer Netherlands, Cognitive Neurodynamics, vol., pp., 2022
  • Predicting novel drug candidates against Covid-19 using generative deep neural networks, By Santhosh Amilpur, Raju Bhukya, Elsevier, Journal of Molecular Graphics and Modelling, vol.110, pp., 2022
  • MapReduce paradigm: DNA sequence clustering based on repeats as features, By Chandra Mohan Dasari, Raju Bhukya, Wiley, Expert Systems, vol.39, pp.16, 2022

Disease prediction based on various pattern frequency and Extraction of features by using convolutional neural network

  • Role Principal Investigator
  • Type Research
  • Sponsor SERB
  • Duration 36 Months
  • Project Cost (INR) 3050140
  • Status Completed


Adluri Vijaya Lakshmi

  • Area of Research: Bioinformatics

Adusumalli Himabindu

  • Area of Research: Bioinformatics

Amgoth Ashok Kumar

  • Area of Research: Bioinformatics

Banothu Ramji

  • Area of Research: Bioinformatics

Bukya Rani

  • Area of Research: Bioinformatics

Jakkula Sravanthi

  • Area of Research: Bioinformatics

Laxmi Narayana Pondhu

  • Area of Research: Bioinformatics

Manoj Kumar Vaddepalli

  • Area of Research: Bioinformatics

Peesala Ilanna

  • Area of Research: Bioinformatics

Siripuri Divya

  • Area of Research: Bioinformatics

Sriram Anusha

  • Area of Research: Bioinformatics

Veerender Aerranagula

  • Area of Research: Bioinformatics
  • Faculty Advisor (September, 2022 - June, 2024)