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Prof. Sriram Kailasam

Associate Professor

Department of Computer Science and Engineering

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Information

Room No: 131 +91-870-2462722 sriramk@nitw.ac.in Bio Sketch

    Key Notes

    • Journal(s): 10
    • Conference(s): 9
    • PhD: Current - 2  Awarded - 2

    19

    PUBLICATIONS

    4

    DOCTORAL STUDENTS

    2

    PROJECTS

    1

    PATENT

    Research Areas

    Big data analytics
    Distributed Systems
    Formal Concept Analysis
    Subgroup discovery
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy IIT Madras 2014
    Bachelor of Engineering Vivekanand Education Society's Institute of Technology 2005
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Big Data Technologies(CS6314) 3-0-0 3 PG
    Data Structures and Algorithms(CS1106) 3-0-2 4 UG
    Distributed Computing(CS362) 3-0-0 3 UG
    Object Oriented Programming Principles(CS396) 3-0-0 3 UG
    Advanced Databases(CS5305) 3-0-0 3 PG
    Object Oriented Programming(CS36006) 3-0-0 3 PG
    Advanced Computer Networks(CS5151) 3-0-0 3 UG, PG
    RESEARCH IDs
    ORCID
    ORC ID
    Scopus
    SCOPUS ID
    PUBLICATIONS
    Journal(s)
    DiGTreeS: a distributed resilient framework for generalized tree search, By MA Jamal, S Kailasam, B Goyal, V Singh, Springer, Journal of Supercomputing, vol., pp., 2024
    A scalable, distributed framework for significant subgroup discovery, By Jyoti, Sriram Kailasam, Aleksey Buzmakov, Elsevier, Knowledge-Based Systems, vol.284, pp., 2024
    RD-FCA: A resilient distributed framework for formal concept analysis, By A Khaund, AM Sharma, A Tiwari, S Garg, S Kailasam, Elsevier, Journal of Parallel and Distributed Computing, vol.179, pp., 2023
    HyPar-FCA+: an improved workload-aware elastic framework for FCA, By M Packiaraj, S Kailasam, Springer, Journal of Supercomputing, vol., pp., 2023
    Hypar-fca: a distributed framework based on hybrid partitioning for fca, By M Packiaraj, S Kailasam, Springer, Journal of Supercomputing, vol., pp., 2022
    Cloudy knapsack algorithm for offloading tasks from large scale distributed applications, By H Haridas, S Kailasam, J Dharanipragada, IEEE, IEEE Transactions on Cloud Computing, vol., pp., 2019
    Extending mapreduce across clouds with bstream, By S Kailasam, P Dhawalia, SJ Balaji, G Iyer, J Dharanipragada, IEEE, IEEE Transactions on Cloud Computing, vol., pp., 2014
    Generate‐map‐reduce: An extension to map‐reduce to support shared data and recursive computations, By J Dharanipragada, G Iyer, S Kailasam, Wiley, Concurrency and Computation: Practice and Experience, vol., pp., 2014
    Optimizing ordered throughput using autonomic cloud bursting schedulers, By S Kailasam, N Gnanasambandam, J Dharanipragada, N Sharma, IEEE, IEEE Transactions on Software Engineering, vol., pp., 2013
    Arogyasree: An Enhanced Grid‐Based Approach to Mobile Telemedicine, By Sriram Kailasam, Santosh Kumar, Janakiram Dharanipragada, Hindawi, International Journal of Telemedicine and applications , vol., pp., 2010
    Conference(s)
    Distributed Computation of Skyline Probability over Uncertain Preferences By Easwar Kilari, Sriram Kailasam, International Conference on Distributed Computing and Networking, 2025
    A Distributed Framework for Online Log Parsing with Large Language Model By Shruthi Kandukuri, Prince Kumar, Shubham Pahilwani, Umang Chourey and Sriram Kailasam, IEEE 32nd International Conference on High Performance Computing, Data and Analytics Workshop, 2025
    Improving Parallel Exhaustive Subgroup Discovery with Early Search Space Pruning By Jyoti, Ashutosh Litoriya, and Sriram Kailasam, IEEE 31st International Conference on High Performance Computing, Data and Analytics Workshop, 2024
    ParaDiS: a Parallel and Distributed framework for Significant pattern mining By Jyoti, S Kailasam, A Buzmakov, IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops, 2023
    Evaluating data-parallel distributed training strategies By G Ponnuswami, S Kailasam, DA Dinesh, International Conference on COMmunication Systems & NETworkS, 2022
    Approximate Computation of Exact Association Rules By Saurabh Bansal, Sriram Kailasam, and Sergei Obiedkov, International Conference on Formal Concept Analysis, 2021
    A Hybrid Partitioning Strategy for Distributed FCA By Muneeswaran P, Jyoti and Sriram Kailasam, International Conference on Concept Lattices and Their Applications, 2020
    Towards Stable Significant Subgroup Discovery By Jyoti, Aleksey Buzmakov and Sriram Kailasam, International Conference on Concept Lattices and Their Applications, 2020
    A Dynamic Load Balancing Scheme for Distributed Formal Concept Analysis By S Patel, U Agarwal, and Sriram Kailasam, International Conference on Parallel and Distributed Systems, 2018
    Patent(s)
    System And Method For Automated Handling Of Document Processing Workload (US patent 20,120,057,191)
    PROJECT / CONSULTANCY
    Distributed Algorithms for Formal Concept Analysis
    Role: Principal Investigator
    Type: SPARC Project
    Sponsor: MHRD
    Project Cost (INR): 4259040
    Date of Commencement: 31-05-2019   Date of Completion: 30-09-2023
    Duration: 52 Months
    Status: Completed
    Design of Advanced Big Data Analytics in the CygNet Management System for Large Telecom Networks
    Role: Co-Principal Investigator
    Type: Research
    Sponsor: MHRD under UAY scheme
    Project Cost (INR): 1400000
    Date of Commencement: 15-06-2016   Date of Completion: 12-05-2021
    Duration: 59 Months
    Status: Completed
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    Shilpa Thakur
    Area of Research: Distributed Systems and AI: frameworks for subgroup discovery
    Shruthi Kandukuri
    Area of Research: A framework for Real-time Log Anomaly Detection using LLMs
    Previous PhD Students
    Jyoti (2025)
    Area of Research: Scalable, Distributed Framework for Subgroup Discovery
    Muneeswaran (2023)
    Area of Research: HyPar-FCA: A Scalable, Distributed Framework based on Hybrid Partitioning for Formal Concept Analysis
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME
    AWARDS AND ACCOLADES
    2018
    Teaching Honor Roll Award
    ADDITIONAL RESPONSIBILITIES
    •  Professor In-charge: Facilities and Infrastructure Maintenance CSE dept (Continuing from May, 2023)
     Last updated on January 12, 2026