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Dr Y. Sreeraman View All

Associate Professor

School of Technology

Dr Sreeraman Y did his B. Tech in Computer Science and Information Technology from JNTU-Hyderabad in 2002, M.E in Computer Science and Engineering from Sathyabama University-Chennai in 2007 and Ph.D., from Pondicherry University-Pondicherry in 2022. He has over 18 years of teaching experience. He has supervised over 40 students’ projects at UG and PG Level, was Head and Board of Studies-Chairman for Computer Science and Engineering. He got qualified in SET- TS & AP (Computer Science and Applications) in the year 2014 and UGC-NET (Computer Science and Applications) in the year 2014. He has organized several Extension programs, participated in Faculty development Programs, Workshops and have presented 2 papers in National Conferences, 3 in International Conferences and published 5 Papers Journals.

    • Graduation In :

      B. Tech in Computer Science and Information Technology

    • Graduation From :

      JNTU-Hyderabad

    • Graduation Year :

      2002

    • Post Graduation In :

      M.E in Computer Science and Engineering

    • Post Graduation From :

      Sathyabama University, Chennai

    • Post Graduation Year :

      2007

    • Doctorate In :

      Computer Science and Engineering

    • Doctorate From :

      Pondicherry University, Pondicherry

    • Doctorate Year :

      2022

    • 18 Years

    • Sreeraman Y and S. Lakshmana Pandian, “Data Analytics and Mining in Healthcare with emphasis on Causal Relationship Mining”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, vol.8, no. 4, pp. 195-204, November 2019. (Indexing: Scopus)
    • Sreeraman Y and S. Lakshmana Pandian, “Design and Experimentation of Causal Relationship Discovery among Features of Healthcare Datasets”, Intelligent Automation and Soft Computing (DOI:10.32604/iasc.2021.017256) ISSN: 2277-3878, vol. 29, no.2, pp. 539-557, 2021. (Indexing: SCIE)
    • Sreeraman Y and S. Lakshmana Pandian, “Causal Discovery using Dimensionality Reduction Partial Association Tree”, International Research Journal on Advanced Science Hub (IRJASH) e-ISSN: 2582-4376, vol. 08, no. 05S, pp. 38-43, May 2021.
    • Sreeraman et.al “Animal Intrusion Detection using Deep Learning and Transfer Learning Approaches”, International Journal of Human Computations and Intelligence, ISSN:2583-5696, vol. 1, Issue No.4, 2022.
    • Sreeraman et.al “Drug Side Effect Prediction Using Supervise Machine Learning Techniques”, International Journal of Human Computations and Intelligence, ISSN:2583-5696, vol. 1, Issue No.4, 2022.
    • Y. Sreeraman, Naresh Babu M M, Dr. Ravindranath C Cherukuri, “The Cross Platform Application Development Frameworks for Smart Phones”, at International Conference on Engineering, Technology and Management (ICETM), Tirupathi, November 2012.
    • Y. Sreeraman, Naresh Babu M M, Dr. Ravindranath C Cherukuri, “Developing an Android Application Using Eclipse Juno”, at National Conference on Advanced Networking and Information Security (NC-ANIS) at Gyan Ganga Institute of Technology and Management (GGITM), Bhopal, December 2012.
    • Sreeraman Y and S. Lakshmana Pandian presented a paper titled” Determination of Causal Rules in Big Data Environment using Partial Association” in A Two-day National Level e-conference on “Recent Advances in Engineering & Technology (CRATE-2020)” organized by Department Computer Science & Engineering, VEMU Institute of Technology during 20-21 August 2020.
    • Sreeraman Y et.al “Approach to Probe Malware on Windows Machine using Machine Learning”, in the Proceedings of the International Conference on Applied Artificial Intelligence and Computing (ICAAIC 2022) IEEE Xplore Part Number: CFP22BC3-ART; ISBN:978-1-6654-9710.
    • Sreeraman Y et.al “A Novel Classification Technique for Safety Measures on Covid-19 using Feature based Sentiment Analysis” in the Proceedings of the 4th International Conference on Artificial Intelligence and Speech Technology (AIST-2022) IEEE Xplore.