NIT Warangal

Information

Room No: CS 210 +91-870-2462732 raju@nitw.ac.in https://erp.nitw.ac.in/ext/profile/cs-raju Bio Sketch

Key Notes

Journal(s): 34
Conference(s): 12
PhD: Current - 12 Awarded - 4

46

PUBLICATIONS

16

DOCTORAL STUDENTS

1

PROJECT

Research Areas

Bioinformatics, Agri-Informatics

EDUCATION QUALIFICATION

Degree	Institute	Year
Doctor of Philosophy	NIT Warangal	2014
Master of Technology	Andhra University College of Engineering	2005
Bachelor of Technology	KL University	2003

COURSES HANDLED

Course	L-T-P	Credit	Degree Level
Computer Organization(CD16003)	3-0-0	3	PG
Information Systems Management(CS37031)	3-0-0	3	PG
Software Engineering Principles(CSM06)	3-0-0	3	UG
Data Structures and Algorithms(CD1108)	3-0-2	4	UG
Software Engineering(CD16002)	3-0-2	4	PG
Computer Organization(CS36003)	3-0-0	3	PG
Bioinformatics(CS6315)	3-0-0	3	PG
Software Engineering(CS36002)	3-0-2	4	PG
Computer Organization(CS4302)	3-0-0	3	PG
Computer Game Development and Animation(CS4304)	0-1-2	2	PG
Computer Organization and Architecture(CSM02)	3-0-0	3	UG
Software Architecture(CS5369)	3-0-0	3	PG
Computer Architecture(CS253)	3-0-0	3	UG

RESEARCH IDs

PUBLICATIONS

Journal(s)

DNA sequence clustering and ERSIT-GRU for repeat detection in COVID-19 prediction, By Praveen Gugulothu, Raju Bhukya, SAGE Publications, Intelligent Decision Technologies, vol.19, pp.645-659, 2025

DNA sequence clustering and ERSIT-GRU for repeat detection in COVID-19 prediction, By Praveen Gugulothu, Raju Bhukya, SAGE PUBLICATIONS, Intelligent Decision Technologies, vol., pp., 2025

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

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

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

Enhanced Nucleus Segmentation with Sobel Edge Detection and Attention Gate with Modified UNET, By Dr Raju Bhukya sravanthi, IAJIT, International Arab Journal of Information technology, vol.22, pp.722-729, 2025

Retraction Note: Entropy and sigmoid based K-means clustering and AGWO for effective big data handling, By Ramdas Vankdothu, Mohd Abdul Hameed, Dr Raju Bhukya, Gaurav Garg, Springer US, Multimedia Tools and Applications, vol., pp., 2024

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

Disease Diagnosis Using Pattern Matching in DNA Sequences, By Sriram Anusha and Raju Bhukya, RSIS international, International Journal of Research and Scientific Innovation (IJRSI), vol.XI, pp., 2024

DNA Sequence Clustering and ERSITGRU for Repeat Detection in COVID -19 Prediction., By Praveen Gugulothu, Raju Bhukya, BENTHAM SCIENCE PUBL LTD , Current Neuropharmacology, 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

Local triangular patterns: novel handcrafted feature descriptors for facial expression recognition, By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya, Inderscience Publishers (IEL), International Journal of Biometrics, vol.International Journal of Biometrics, pp., 2023

MapReduce paradigm: DNA sequence clustering based on repeats as features, By Chandra Mohan Dasari, Raju Bhukya, Wiley, Expert Systems, vol.39, pp.16, 2022

An attention-based hybrid deep neural networks for accurate identification of transcription factor binding sites, By Raju Bhukya, Archana Kumari, Chandra Mohan Dasari, Santhosh Amilpur, Springer, Neural Computing and Applications, vol.34, pp., 2022

PPred-PCKSM: A multi-layer predictor for identifying promoter and its variants using position based features, By Raju Bhukya, Archana Kumari, Santhosh Amilpur , Chandra Mohan Dasari, Elsevier, Computational Biology and Chemistry, vol.97, 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

DRCP: Dimensionality reduced chess pattern for person independent facial expression recognition, By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya, World Scientific Publishing Company, International Journal of Pattern Recognition and Artificial Intelligence, vol.36, 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

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

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

Windmill graph based feature descriptors for facial expression recognition, By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya, Elsevier, Optik, vol.260, pp., 2022

NoAS-DS: Neural optimal architecture search for detection of diverse DNA signals, By Kaushik Bhargav Sivangi, Chandra Mohan Dasari, Santhosh Amilpur, Raju Bhukya, Elsevier, Neural Networks, vol.143, pp., 2022

Radial mesh pattern: a handcrafted feature descriptor for facial expression recognition, By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya , Springer Berlin Heidelberg, Journal of Ambient Intelligence and Humanized Computing, vol.14, pp., 2021

Modified chess patterns: handcrafted feature descriptors for facial expression recognition, By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya , Springer International Publishing, Complex & Intelligent Systems, vol.7, pp., 2021

Exploring variable-length features (motifs) for predicting binding sites through interpretable deep neural networks, By Chandra Mohan Dasari, Santhosh Amilpur , Raju Bhukya, Elsevier, Engineering Applications of Artificial Intelligence, vol.106, pp., 2021

Explainable deep neural networks for novel viral genome prediction, By Chandra Mohan Dasari, Raju Bhukya, Springer, Applied Intelligence, vol.52, pp., 2021

Encoding gene expression using deep autoencoders for expression inference., By Raju Bhukya , Colleges of Computing and Information Society, The International Arab Journal of Information Technology, vol.18, pp., 2021

InterSSPP: Investigating patterns through interpretable deep neural networks for accurate splice signal prediction, By Chandra Mohan Dasari , Raju Bhukya, Elsevier, Chemometrics and Intelligent Laboratory Systems, vol.206, pp., 2020

Referential DNA Data Compression using Hadoop Map Reduce Framework, By Raju Bhukya, Sumit Deshmuk, Colleges of Computing and Information Society, INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, vol.17, pp., 2020

Gene Expression Prediction Using Deep Neural Networks, By Raju Bhukya, Achyuth Ashok, Colleges of Computing and Information Society, International Arab Journal of Information Technology, vol.17, pp., 2020

EDeepSSP: Explainable deep neural networks for exact splice sites prediction, By Santhosh Amilpur, Raju Bhukya, World Scientific, Journal of Bioinformatics and Computational Biology, vol.18, pp., 2020

Comparative analysis of protein synthesis rate in COVID-19 with other human coronaviruses, By Chandra Mohan Dasari, Raju Bhukya, Elsevier, Infection, Genetics and Evolution, vol.85, pp., 2020

EXTENDED PERFECT AND IMPERFECT REPEATS FINDER USING MOLECULAR DNA SEQUENCES., By Raju Bhukya , Little Lion Scientific, Journal of Theoretical & Applied Information Technology, vol.91, pp., 2016

Conference(s)

Leveraging Deep Learning for Classification and Prediction of Antimicrobial Peptides By Jakkula Sravanthi, Raju Bhukya, 2025 6th International Conference on Recent Advances in Information Technology, 2025

Extended Early Disease Predicting Futures with Advanced mutation detection Analysis and Modeling by using DNA sequencing techniques By ramji banoth raju bhukya, 12th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP), 2025

Disease Prediction and Diagnosis by Various Pattern Matching Techniques Using Biological DNA Sequences By Banothu Ramji, Veerender Aerranagula, Raju Bhukya, International Conference on ICT for Sustainable Development, 2025

Predicting Disease Futures with Advanced mutation detection Analysis and Predictive Modeling by using DNA sequences By Jakkula Sravanthi, Raju Bhukya, 2025 6th International Conference on Recent Advances in Information Technology (RAIT), 2025

Enhancing DNA Sequence Analysis for Disease Diagnosis and Prediction Using Parallelised Hash-Based Approach By Anusha Sreeram, Raju Bhukya, 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), 2025

Nucleus Segmentation with Modified Attention Gate UNET using Sobel Edge detection By Jakkula Sravanthi, Raju Bhukya, 2024 3rd International Conference for Advancement in Technology (ICONAT), 2024

Prediction and Early Detection of Various Diseases Risk by Using Machine Learning Techniques By Raju Bhukya, Banothu Ramji , World Conference on Information Systems for Business Management, 2023

Disease Diagnosis based on Various Pattern Frequency from Extracted Exons By Chandra Mohan Dasari, Raju Bhukya , IEEE 3rd Global Conference for Advancement in Technology (GCAT), 2022

Petersen Graph Based Binary Pattern for Person Independent Facial Expression Recognition By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya, International Conference on Pattern Recognition and Machine Intelligence, 2021

Knight tour patterns: Novel handcrafted feature descriptors for facial expression recognition By Mukku Nisanth Kartheek, Rapolu Madhuri, Munaga VNK Prasad, Raju Bhukya , Computer Analysis of Images and Patterns 19th International Conference, CAIP 2021, Virtual Event, Proceedings, Part II, 2021

Local optimal oriented pattern for person independent facial expression recognition By Mukku Nisanth Kartheek, Munaga VNK Prasad, Raju Bhukya , Twelfth international conference on machine vision (ICMV 2019), 2019

Compression for DNA sequences using huffman encoding By Raju Bhukya, Subodh Yadav, Jitendra Kumar Sharma, Banabari lal Sharma, Arun Kumar, Information and communication technology for sustainable development: proceedings of ICT4SD 2018, 2018

PROJECT / CONSULTANCY

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

Role: Principal Investigator
Type: Research
Sponsor: SERB
Project Cost (INR): 3050140
Date of Commencement: 19-12-2019 Date of Completion: 19-12-2022
Duration: 36 Months
Status: Completed

RESEARCH FELLOWS / PhD STUDENTS