NIT Warangal

Information

Room No: C 106 +91-870-2462736 rbvs66@nitw.ac.in Bio Sketch

Key Notes

Journal(s): 13
Conference(s): 7
Educational Package(s): 2
PhD: Current - 9 Awarded - 11

22

PUBLICATIONS

20

DOCTORAL STUDENTS

2

PROJECTS

Research Areas

Big Data Analytics

Data Mining

Machine Learning

EDUCATION QUALIFICATION

Degree	Institute	Year
Doctor of Philosophy	IIT Kharagpur	2007
Master of Technology	IIT Kharagpur	2003

COURSES HANDLED

Course	L-T-P	Credit	Degree Level
Data Mining(CS26005)	3-0-0	3	PG
Data Mining Algorithms(CS2323)	3-0-0	3	UG
Data Warehousing and Data Mining(CS302)	3-0-0	3	UG
Advanced Data Mining(CS16022)	3-0-0	3	PG
Database Management Systems(CS1206)	3-0-0	3	UG
Database Management Systems(CS254)	3-0-0	3	UG
Data Mining(CS5203)	3-0-0	3	PG
Advanced Data Mining(CS5183)	3-0-0	3	PG

RESEARCH IDs

PUBLICATIONS

Journal(s)

Aspect-Specific Sentiment Representation with Knowledge-Enhanced GCN for Multilingual Sentiment Analysis, By Indira Priyadarshini Tummala and RBV Subramanyam, World Scientific, International Journal of Pattern Recognition and Artificial Intelligence, vol., pp., 2026

Optimizing Sentiment Analysis: A Hybrid Approach with Heuristic Optimization, By Indira Priyadarshini Tummala and RBV Subramanyam, Springer, Knowledge and Information Systems , vol., pp., 2026

Time Series analysis using Memory Enhanced Liquid Neural Network, By Srinivas M, Abhijeet Kumar, and RBV Subramanyam, Elsevier., Journal of Visual Communication and Image Representation, , vol., pp., 2026

Uncertainty Level-Based Algorithms by Managing Renewable Energy for Geo-Distributed Datacenters , By with Slokashree Padhi, Springer, Cluster Computing, vol., pp., 2024

RDGT-GAN: Robust Distribution Generalization of Transformers for COVID-19 Fake News Detection, By with Shivani Sri Varshini U et al. , IEEE, IEEE Transactions on Computational Social Systems, vol., pp., 2023

MSMVAN: Multi Step Multi Variate Deep Attention Network for Renewable Energy Forecast, By with U. Shivani Sri Varshini et al. , IEEE, IEEE Transactions on Industry Applications, vol., pp., 2023

I-S2 FND: A Novel Interpretable Self-Ensembled Semi-Supervised Model based on Transformers for Fake News Detection, By with Shivani Sri Varshini U et al.,, Elsevier, Journal of Intelligent Information Systems, vol., pp., 2023

User request-based scheduling algorithms by managing uncertainty of renewable energy, By with Slokashree Padhi, Springer, Cluster Computing, vol., pp., 2023

Generalized Communication cost Efficient Multi-Way Spatial Join: Revisiting the Curse of the Last Reducer, By with Avinash Potluri, Springer, GeoInformatica, vol.24, pp.557-589, 2020

A Novel MapReduce Algorithm for Distributed Mining of Sequential Patterns Using Co-occurrence Information, By with Sumalatha Saleti, Springer, Applied Intelligence, vol.49, pp.150-171, 2019

Distributed mining of high utility time interval sequential patterns using MapReduce approach, By with Sumalatha Saleti, Elsevier, Expert Systems with Applications, vol.141, pp.1-24, 2019

A MapReduce solution for incremental mining of sequential patterns from big data, By with Sumalatha Saleti, Elsevier, Expert Systems with Applications, vol.133, pp.109-125, 2019

A Novel Bit Vector Product algorithm for Mining Frequent Itemsets from Large Datasets using MapReduce Framework., By with Sumalatha Saleti, Springer, Cluster Computing, vol.21, pp.1365-1380, 2018

Conference(s)

EGDF-Net: Edge-Guided Deblurring and Fusion Network for Underwater Image Object Detection By E Goutham, M Srinivas and RBV Subramanyam , 15th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2026),, 2026

Time Series Analysis Using Memory Enhanced Liquid Neural Network By Kumar, A., Srinivas, M., & Subramanyam, R. B. V, IFIP International Conference on Artificial Intelligence Applications and Innovations , 2025

TRYOLO: A Transformer-Based Real-Time Object Detection Model for UAV Images By Dewangan, B., Srinivas, M., & Subramanyam, R. B. V, International Conference on Innovations for Community Services (pp. 36-50) (Springer), 2025

A Novel Contactless Middle Finger Knuckle Based Person Identification Using Ensemble Learning By Noboranjan Dey, M Srinivas and Prof. R.B.V. Subramanyam, , 2023 IEEE Region 10 Conference (TENCON), 2023

FResFormer: Leukemia Detection Using Fusion-enabled CNN and Attention By Murukessan Perumal, E Goutham, U. Shivani Sri Varshini, M Srinivas, and R.B.V. Subramanyam, 8th International Conference on Computer Vision & Image Processing (CVIP), 2023

Skew Aware Partitioning Techniques for Multi-Way Spatial Join By Prashanth Kadari, Avinash Potluri, Nagesh Bhattu Sristy and RBV Subramanyam , Seventh International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2019), 2019

Benchmarking Multimodal Sentiment Analysis By E Cambria, D Hazarika, S Poria, A Hussain and RBV Subramanyam, CICLing 2017- 18th International Conference on Computational Linguistics and Intelligent Text Processing, 2017

Educational Package

DATA MINING course sanctioned through EOI Project as part of A National Mission Project through ICT (Developing Suitable Pedagogical Methods for various classes, intellectual calibers and research in e-Learning). By RBV Subramanyam and DVLN Somayajulu, 2010

Data Warehousing course sanctioned through EOI Project as part of A National Mission Project through ICT (Developing Suitable Pedagogical Methods for various classes, intellectual calibers and research in e-Learning). By DVLN Somayajulu and RBV Subramanyam, 2010

PROJECT / CONSULTANCY

Large Language Model for Legal Assistance

Role: Co-Principal Investigator
Type: Research
Sponsor: IIT Mandi - iHub, sanctioned to be a consortium
Project Cost (INR): 13206300
Date of Commencement: 25-03-2025
Duration: 25 Months
Status: Ongoing

Social Network Monitoring and Measurement

Role: Principal Investigator
Type: Research
Sponsor: Infosys Ltd
Project Cost (INR): 1000000
Date of Commencement: 01-08-2011 Date of Completion: 01-08-2013
Duration: 25 Months
Status: Completed

RESEARCH FELLOWS / PhD STUDENTS

Current PhD Students

Ch V Swarna Kumari

Area of Research: Machine Learning, Deep Learning

Deepika Rangaraju

Area of Research: Machine Learning NLP

Indra Priyadarshini Tummala

Area of Research: Deep Learning, Machine Learning

Karnam Akhil

Area of Research: Natural Language Processing based Legal Document Analysis

Kratika Sharma

Area of Research: Machine Learning

M Pavan Kumar

Area of Research: Deep Learning

P Ushashree

Area of Research: Data Mining

Shirisha Mara

Area of Research: Data Mining

Srishti Sakshi Sinha

Area of Research: Machine Learning

Previous PhD Students

Slokashree Padhi (2024)

Area of Research: Some Studies on Renewable Energy-Based Scheduling Algorithms for Geo-Distributed Datacenters

Upadrasta Shivani Sri Varshini (2024)

Area of Research: Some Studies on Data Driven Models for Detection of Fake News in Social Media Content

P Avinash (2022)

Area of Research: Some Strategies for Optimizing Communication Costs in MapReduce to Execute Spatial and Graph Queries

Saleti Sumalatha (2019)

Area of Research: Mining Big Data for Frequent Patterns using MapReduce Computing

Sandipan Maiti (2019)

Area of Research: Map-Reduce based Spatial Data Mining System for Co-location and Behavioural Patterns

Ramachandra Nayak Yadawad (2019)

Area of Research: Some Studies on Distributed Data Mining Algorithms

Fathimabi Shaik (2018)

Area of Research: BIG DATA FRAMEWORKS-BASED APPROACHES TO GRAPH DATA

Ramesh Karnati (2017)

Area of Research: Novel Approaches for Incremental Mining of Sequential Patterns

Tene Ramakrishnudu (2015)

Area of Research: Some Studies on Frequent and Interesting Infrequent Itemsets: Centralized and Distributed Approaches

Suresh Rao A (2014)

Area of Research: Some Studies on Sequential Pattern Mining over Progressive Databases

Somaraju Suvvari (2014)

Area of Research: Data Mining Algorithms for Certain In-Depth Analysis on Frequent Patterns in Large Databases

CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME / GIAN

ADDITIONAL RESPONSIBILITIES

Last updated on July 8, 2026

Prof. R B V Subrahmanyam

Professor (HAG)

Department of Computer Science and Engineering

Information

Key Notes

22

20

2

Research Areas

Current PhD Students

Previous PhD Students