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Prof. Pisipati Radha Krishna

Professor

Department of Computer Science and Engineering

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Information

Room No: CS 107 +91-870-2462703 prkrishna@nitw.ac.in Bio Sketch

    Key Notes

    • Journal(s): 13
    • Conference(s): 10
    • Book Chapter(s): 10
    • Text Book(s): 3
    • PhD: Current - 8  Awarded - 4

    36

    PUBLICATIONS

    12

    DOCTORAL STUDENTS

    6

    PROJECTS

    21

    PATENTS

    Research Areas

    Big Data
    Databases and Workflow Systems
    Data Mining
    Deep Learning
    Machine Learning
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy (i) Osmania University (ii) IIIT Hyderabad 1996
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Data Science Fundamentals(CS16035) 3-0-0 3 PG
    Deep Learning(CS401) 3-0-0 3 UG
    Social Networks(CS468) 3-0-0 3 UG
    Deep Learning(CS26032) 3-0-0 3 PG
    Data Science Fundamentals(CS5104) 3-0-0 3 PG
    Deep Learning(CS5152) 3-0-0 3 PG
    Social Media Analytics(CS5176) 3-0-0 3 PG
    RESEARCH IDs
    ORCID
    ORC ID
    Google Scholar
    Google Scholar ID
    PUBLICATIONS
    Journal(s)
    Parallel Chaotic Bi-objective Evolutionary Algorithms for Scalable Feature Subset Selection via Migration Strategy, By Y. Vivek, V. Ravi, P. Radha Krishna, Elsevier, Applied Soft Computing , vol.186, pp., 2026
    Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey, By Y. Vivek, V. Ravi, P. Radha Krishna, Springer, Quantum Information Processing, vol.24, pp., 2025
    Online Feature Subset Selection for Mining Feature Streams in Big Data via Incremental Learning and Evolutionary Computation, By 3. Y. Vivek, V. Ravi, P. Radha Krishna, Elsevier, Swarm and Evolutionary Computation, vol.94, pp., 2025
    Feature Subset Selection for Big Data via Parallel Chaotic Binary Differential Evolution and Feature-level Elitism, By Y. Vivek, V. Ravi, P. Radha Krishna, Elsevier, Computers and Electrical Engineering,, vol.123, pp.110232, 2025
    An Effective Representation Learning Model for Link Prediction in Heterogeneous Information Networks, By Vishnu Kumar and P. Radha Krishna, Springer, Computing, vol.106, pp.2185-2210, 2024
    Parallel Fractional Dominance MOEAs for Feature Subset Selection in Big Data, By Y. Vivek, V. Ravi, P. N. Suganthan, P. Radha Krishna, Elsevier, Swarm and Evolutionary Computation, vol.91, pp.101687, 2024
    Cross-modal Multi-headed Attention for Long Multimodal Conversations, By Harshith Belagur, N. Saketh Reddy, P. Radha Krishna, Raj Tumuluri, Springer, Multimedia Tools and Applications, vol.82, pp.45679-45697, 2023
    Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper under Apache Spark Environment, By Y. Vivek, V. Ravi and P. Radha Krishna, Springer, Cluster Computing, vol.26 (3), pp.1949-1983, 2023
    Memory-Based Approaches for Eliminating Premature Convergence in Particle Swarm Optimization, By Chaitanya Kanchibhotla, D. V. L. N Somayajulu, P. Radha Krishna, Springer, Applied Intelligence, vol.51(7), pp.4575-4608, 2021
    Modeling Dynamic Relationship Types for Subsets of Entity Type Instances and across Entity Types, By P. Radha Krishna, K. Anushree and Kamalakar Karlapalem, Elsevier, Information Systems, vol.60, pp.114–126, 2016
    A Methodology for Evolving E-contracts Using Templates, By P. Radha Krishna and Kamalakar Karlapalem, IEEE, IEEE Transactions on Services Computing , vol.6, pp.497-510, 2013
    Electronic Contracts, By P. Radha Krishna and Kamalakar Karlapalem, IEEE, IEEE Internet Computing, vol.12, pp.80-88, 2008
    Clustering Web Transactions Using Rough Approximation, By S. K. De and P. Radha Krishna, Elsevier, Fuzzy Sets and Systems, vol.148, pp.131-138, 2004
    Conference(s)
    Sol-Repairer: Solidity Smart Contract Dead Code Repairer By Sangharatna Godboley P. Radha Krishna, 18th Innovations in Software Engineering Conference (ISEC) 2025, 2025
    Reporting Unique-Cause MC/DC Score using Formal Verification By Monika Rani Golla, Sangharatna Godboley, Avijit Das, P. Radha Krishna, 18th IEEE International Conference on Software Testing, Verification and Validation (ICST) 2025, 2025
    gptCombFuzz: Combinatorial Oriented LLM Seed Generation for effective Fuzzing By Darshan Lohiya, Monika Rani Golla, Sangharatna Godboley and P. Radha Krishna, 17th IEEE International Conference on Software Testing, Verification and Validation (ICST-2024), 2024
    VeriSol-MCE: Verification-based condition coverage analysis of Smart Contracts using Model Checker Engines By Sangharatna Godboley and P. Radha Krishna, 17th IEEE International Conference on Software Testing, Verification and Validation (ICST-2024), 2024
    CC-SolBMC: Condition Coverage analysis for Smart Contracts using Solidity Bounded Model Checker By Sangharatna Godboley and P. Radha Krishna, 19th International conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2024), 2024
    Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms By Y. Vivek, V. Ravi and P. Radha Krishna, Genetic and Evolutionary Computation Conference (GECCO) 2024, 2024
    UMask-AFL: Unmasking All Reachable Targets for Comprehensive Agile Fuzzing By Sangharatna Godboley, Bikash Singha, Monika Rani Golla and P. Radha Krishna, 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024), 2024
    An Improved and Efficient Distributed Computing Framework with Intelligent Task Scheduling By Pruthvi Raj Venkatesh and P Radha Krishna, 20th International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2024), 2024
    Atomic Condition Coverage Analysis for Structured Text Based Programmable Logic Controller (PLC) By Sangharatna Godboley, P. Radha Krishna, Ritesh Kumar Jha, 17th Innovations in Software Engineering Conference (ISEC 2024), 2024
    Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm By Y. Vivek, V. Ravi and P. Radha Krishna, Genetic and Evolutionary Computation Conference (GECCO) 2024, 2024
    Text Book(s)
    Database Management System Oracle SQL and PL/SQL By Pranab Kumar Das and P. Radha Krishna (Published by: PHI Learning), ., 2013
    Data Mining By Vikram Pudi and P. Radha Krishna (Published by: Oxford University Press), ., 2009
    Object Oriented Programming through Java By P. Radha Krishna (Published by: CRC Press; University Press), ., 2006
    Book Chapter(s)
    A Survey of Class Imbalance Problem on Evolving Data Stream By D. Himaja, and T. Maruthi Padmaja, and P. Radha Krishna in Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, IGI Global, ., 2021
    Gender based Classification on e-Commerce Big Data By K. Chaitanya K, DVLN Somayajulu DVLN; P. Radha Krishna in Big Data Analytics, IET, IET Handbooks, 2021
    On Recommender Systems with Big Data By Paleti Lakshmikanth, J V R Murthy, P. Radha Krishna in Big Data Analytics, IET, IET Handbooks, 2021
    Optimum Spectrum Sensing Approaches in Cognitive Networks By Ishrath Unissa, Syed Jalal Ahmad, P. Radha Krishna in Cognitive Radio, Mobile Communications and Wireless Networks, Springer, EAI/Springer Innovations in Communication and Computing, 2019
    Big Data Search and Mining By P. Radha Krishna in Big Data – A Primer, Springer, Studies in Big Data, 2015
    Video Stream Mining for On-Road Traffic Density Analytics By Rudra Narayan Hota, Kishore Jonna, P. Radha Krishna in Pattern Discovery Using Sequence Data Mining: Applications and Studies, IGI Global , ., 2011
    Unbalanced Sequential Data Classification using Extreme Outlier Elimination and Sampling Techniques By T. Maruthi Padmaja, Raju. S. Bapi and P. Radha Krishna in Pattern Discovery Using Sequence Data Mining: Applications and Studies, IGI Global , ., 2011
    Sequence Pattern Mining for Web Logs By Pradeep Kumar, Raju. S. Bapi, P. Radha Krishna in Pattern Discovery Using Sequence Data Mining: Applications and Studies, IGI Global, ., 2011
    Advances in Classification of Sequence Data By Pradeep Kumar, P. Radha Krishna, Raju. S. Bapi, T. M. Padmaja in Advances in Data Warehousing and Mining, IGI Publishers, ., 2007
    SeqPAM: A Sequence Clustering Algorithm for Web Personalization By Pradeep Kumar, Raju. S. Bapi and P. Radha Krishna in Successes and New Directions in Data Mining, IGI Publishers, ., 2007
    Patent(s)
    A System and Method for Methods for Clustering Networks Based on Topology Discovery and Devices Thereof (US PTO No. 13/963,696, Patent No. 9680915, Issue date: June 13, 2017; India PTO Application No.: 3781/CHE/2012, Issued on: April 22, 2022. )
    A System and Method for On-Road Traffic Density Analytics using Video Stream Mining and Statistical Techniques (US PTO: 13/614,267, Patent No. 8942913, Issued January 27, 2015. India PTO Application No.: 3243/CSE/2011, Issue date: March 14, 2023. )
    A system and method of template creation for a data extraction tool (US 15/165,630,Paten No.: 10049096, Issue date: August 14, 2018)
    Integrated view of On Road Object Detection to support Automatic Vehicle Navigation System (US PTO Application No. 13/945,830, Patent No. 9633436, Issue date: April 25, 2017.)
    Method and System for Detecting Symptoms and Determining an Optimal Remedy Pattern for a Faulty Device (USPTO - 14/715,775, Patent Number: 10223188, Issue date: March 05, 2019. )
    Method and System for Detecting Symptoms and Determining an Optimal Remedy Pattern for a Faulty Device (USPTO - 13/890,337, Patent No.: 9063856, Issue date: June 23, 2015. India PTO Application No.: 1815/CHE/2012, Issue date: February 21, 2023. )
    METHOD AND SYSTEM FOR MASKING OF CHEQUE IMAGE BASED ON USER ACCESS PRIVILEGES (US 15/263,246, Patent Number: 10402590, Issue date: September 3, 2019. India PTO Application No.: 4838/CHE/2015, Issue date: September 21, 2023. )
    Methods and Systems for Enabling Vision based Inventory Management (USPTO-13/945,403, Patent No. 9665794, Issue date: May 30, 2017)
    Methods and Systems for Energy Management in a Virtualized Data Center (USPTO – 13/924,161, Patent No.: 9213575, Issue date: December 15, 2015.)
    Methods for Detecting and Recognizing a Moving Object in Video and Devices Thereof (USPTO Application No.: 13/570350, Patent No.: 9288450, Issue date: March 15, 2016)
    Methods for Discovering and Analyzing Network Topologies and Devices Thereof (US PTO -13/530,791. Patent No.: 8976710, Issue Date: March 10, 2015)
    Methods for Reinforcement Document Transformer for Multimodal Conversations and Devices Thereof (USPTO 17/829,731, Patent No. 12412044, Issue date: 09/09/2025)
    Methods, Systems and Computer-Readable Media for Providing a Query Layer for Cloud (USPTO Application No.: 13/304,043, Patent No.: 9372890, Issue Date: June 21, 2016)
    NATURAL LANGUAGE QUERYING WITH CASCADED CONDITIONAL RANDOM FIELDS (US PTO Application Number: 13/117077 ; Patent No. 9280535, Issue Date: March 8, 2016)
    Slang Sentiment Classifier based analysis for Opinion Mining (US 13/325144, Patent Number: 10474752, Issue Date: November 11, 2019.)
    SYSTEM AMD METHOD FOR REGISTRATION OF BRAIN IMAGES (US 14/973,428. Patent No.: 10034610, Issue date: July 31, 2018. )
    System and method for enrichment of OCR extracted data, (US 16/446372, Patent Number: 11080563, Issue Date: August 03, 2021. India PTO – Patent No.: 515428, Issue date: February 26, 2024. )
    System and Method For Streak Discovery and Prediction (U.S. Application No. 13/111,259, Patent No. 8930362, Issued January 6, 2015. Inda PTO Application No.: 1055/CHE/2011, Issued date: April 20, 2021.)
    SYSTEM AND METHOD OF RECOGNIZING DATA IN A TABLE AREA FROM UNSTRUCTURED DATA (USPTO 16/584585, Patent No. 11216425, Issue date: 01/04/2022)
    System for management of sentiments and methods thereof (US PTO No 14/199831, Patent No. 9514496, Issue Date: December 6, 2016.)
    Systems and Methods for Semantic Data Integration (USPTO Application No. 13/531,117, Patent No.:9406018, Issue Date: August 2, 2016. India PTO Application No.: 359/CHE/2012, Issue date: July 31, 2023. )
    PROJECT / CONSULTANCY
    TrustInn: Umbrella Industry Tool for Validating BlockChain System
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: DST, IBITF, Gov. of India
    Project Cost (INR): 15958080
    Date of Commencement: 18-03-2025  
    Duration: 36 Months
    Status: Ongoing
    Security Analysis of Software Systems
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: Government of India
    Project Cost (INR): 238600000
    Date of Commencement: 18-09-2024  
    Duration: 36 Months
    Status: Ongoing
    Large Language Model for Legal Assistance
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: IIT Mandi - iHub (project sanctioned to a consortium )
    Project Cost (INR): 13206300
    Date of Commencement: 13-01-2025  
    Duration: 24 Months
    Status: Ongoing
    Automated Structural Coverage & Robustness Analysis Tool using Formal Methods
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: CARS, LRDE, DRDO, Govt. of India
    Project Cost (INR): 4697000
    Date of Commencement: 14-10-2025  
    Duration: 11 Months
    Status: Ongoing
    Drone Enabled Deep Learning Analytics for Monitoring and Yield Assessment of Commercial Crops
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: IHub-Data, IIIT-Hyderabad
    Project Cost (INR): 1475000
    Date of Commencement: 24-09-2024   Date of Completion: 23-09-2025
    Duration: 12 Months
    Status: Completed
    Smart Cleaner: Automatic Clean the Smart Contract by Repairing Dead Atomic Conditions
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: IBITF, Department of Science and Technology (DST)
    Project Cost (INR): 2646000
    Date of Commencement: 07-04-2022   Date of Completion: 06-04-2025
    Duration: 36 Months
    Status: Completed
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    A JAYA PRAKASH
    Area of Research: Data Fabric and Metadata Management
    Dara Deepthi
    Area of Research: Unstructured Data Mining
    Katoju Radha Krishna
    Area of Research: Big Data Analytics
    KODEM SRAVAN
    Area of Research: Cloud Data Analytics (co-supervisor: Priyanka Chawla)
    K.P. Sai Rama krishna
    Area of Research: Multimodal Data Mining
    PITLA NIKITHA
    Area of Research: Social Network Mining
    Pruthvi Raj Venkatesh
    Area of Research: Distributed Learning and Systems
    Satyabratha Pradhan
    Area of Research: Multimodal Conversational AI
    Previous PhD Students
    Yelleti Vivek (2025)
    Area of Research: Feature Subset Selection using Evolutionary Computation under Big Data paradigm (IDRBT Supervisor: Prof. V. Ravi)
    Sairam Utukuru (2025)
    Area of Research: Resilient Mining of Incomplete Data for Classification and Data Recovery
    Vishnu Kumar (2024)
    Area of Research: Some Studies on Representation Learning for Mining Heterogeneous Social Networks
    Kanchibhotla Chaitanya (2024)
    Area of Research: Some Studies on Improved Particle Swarm Optimization for Multi-Domain Problems (Co-Supervisor: Prof. D V L N Somayajulu)
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE
    ADDITIONAL RESPONSIBILITIES
    •  Dean, Faculty Welfare (Continuing from October, 2025)
    •  Member, Executive Council of Siemens Center of Excellence (Currently, Digital Manufacturing and Automation) (Continuing from August, 2020)
    •  Head, Department of Computer Science & Engineering (January, 2020 - January, 2022)
     Last updated on November 27, 2025