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Prof. R B V Subrahmanyam

Professor

Department of Computer Science and Engineering

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Information

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

    Key Notes

    • Journal(s): 10
    • Conference(s): 6
    • Educational Package(s): 2
    • PhD: Current - 9  Awarded - 11

    18

    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 Warehousing and Data Mining(CS302) 3-0-0 3 UG
    Database Management Systems(CS1206) 3-0-0 3 UG
    Advanced Data Mining(CS16022) 3-0-0 3 PG
    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
    ORCID
    ORC ID
    PUBLICATIONS
    Journal(s)
    Uncertainty Level-Based Algorithms by Managing Renewable Energy for Geo-Distributed Datacenters , By with Slokashree Padhi, Springer, Cluster Computing, vol., pp., 2024
    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
    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
    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
    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
    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 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)
    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
    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
    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: 24 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: 24 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
    ADDITIONAL RESPONSIBILITIES
    •  Chief Investigator, Electronics & ICT Academy at NIT Warangal (March, 2019 - September, 2023)
    •  Head, Department of Computer Science & Engineering, NIT Warangal (January, 2018 - January, 2020)
    •  Head, Computer Center, NIT Warangal (November, 2016 - April, 2018)
    •  Co-Chief Investigator, Electronics & ICT Academy at NIT Warangal (April, 2016 - March, 2019)
    •  Associate Dean (Academic) and Deputy Registrar (Academic) (March, 2014 - June, 2016)
    •  Coordinator, Mini Center of Excellence for Big Data (Continuing from December, 2014)
     Last updated on November 21, 2025