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Dr.P.Ravi Kumar, Associate Professor

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Dr.P.Ravi Kumar
Associate Professor

Vidwan(501688) Orcid Scopus Google Scholar
Education Qualifications: 2023, Ph.D., Andhra University, Visakapatanam, Andhra Pradesh, India.
2005, M.Tech., ANU, Guntur, Andhra Pradesh, India
2003, B.Tech., JNTUH, Hyderabad, Telangana, India.
Area of Specialization: Machine Learning
Research Interests: Text Classification and Recommended Systems
Number of Papers Published: 14 (Journals: 06 & Conferences:08)
Membership in Scientific and
Professional Societies:		 Life Member in ISTE
Date of Joining: 02th March 2024
Subjects Handled: Automata Theory & Formal Languages, Data Structures,Digital Logic Design, Object Oriented Programming(C++/Python),C-Programming,Data Base Management Systems, Data Analytics using R,Data Engineering,Machine Learning, Python programming, ADBMS,No SQL, Discrete Mathematics.

Patents (Granted:1)

Sl. No. Patnent No. Title of Invention Details of Applicants & Inventors Remarks
1 6316748 AI BASED PLANT EXTRACT ANALYSING DEVICE TO IDENTIFY DISEASE Dr. Palacharla RaviKumar Filed: 04/10/2023
Grant: 11/10/2023

International/National Journal Publications: (Scopus-4, Web of Science-1)

  1. Palacharla RaviKumar and Prof.V.Valli Kumari, "A New Supervised Term Weight Measure Based Approach for Text Classification", IIETA-Revue d'Intelligence Artificielle, Vol. 36, No. 3, June, 2022, pp. 397-407 (Scopus)
  2. Palacharla RaviKumar and Prof.V.Valli Kumari,"A Novel Filter Based Multivariate Feature Selection Technique for Text Classification", Journal of Theoretical and Applied Information Technology,ISSN:1992-8645, Oct-2021. (Scopus)
  3. K.Durga Prasad,Palacharla RaviKumar,K.Srinivasa rao, "A New Supervised Term Weight Measure for Text Classification", International Journal of Advanced Science and Technology, ISSN: 2005-4238, Vol. 29, Issue 6, May2020,pp:3115-3128. (Scopus)
  4. P.Ravi Kumar,B.Ramyabanu,K.Durga Prasad, "A Machine Learning Approach for Authorship Verification", International Journal ofInnovative Research in Science, ISSN: 2319-8753, Vol. 9, Issue 2, Feb 2020,Pages:13851-13858.(Scopus)
  5. K.Sai Prasanth,P.Ravi Kumar,K.Srinivasa Rao, "Term Weight measure-based approach for Fake news Detection", Bulletin Monumental, ISSN: 0007-473X, Volume 22, Issue-4, April -2021, (Web of Science)
  6. P.A.V.Krishna Rao,K.Srinivasa Rao,P.Ravi Kumar,K.Sai Prasanth, "Volumetric Data Rendering on mobile with Ray casting", International Journal for Modern Trends in Science and Technology, ISSN: 2455-3778, Vol. 6, Issue 1, Aug2020, Pages:63-69. (UGC)

Conference Publications: (IEEE: 2)

  1. P.Mohan Anand and P.RaviKumar "A Novel Approach for Insight Finding Mechanism on Clickstream Data Using Hadoop", International Conference on Inventive Communication and ComputationalTechnologies , April 2018, pp: 446-449. (IEEE Explore)
  2. P.Mohan Anand and P.RaviKumar "Addressing cold start problem in Recommendation System using custom built hadoop Ecosystem" in International Conference on Inventive Communication andComputational Technologies , pages. 355-358, 2018. (IEEE Explore)
  3. Presented a paper titled "Recommender Systems Using KNN Collaborative Filtering Algorithm" in International Conference on Recent Advances in computer Science and Engineering, pages.11-12, 2019.
  4. Presented a paper titled "Extracting the Embedded text from a video using OCR" in International Conference on Recent Advances in computer Science and Engineering,pages. 13-14, 2019.
  5. Presented a paper titled "Phylogenetic Tree Construction based on Neighbour Joining Method" in National Conference on Recent Advances in computer Science and Engineering, pages. 1-2, 2016.
  6. Presented a paper titled "Tail network management system" in National Conference on Recent Trends in Information Technology at PVP Siddhartha institute of Technology,2013, pages. 117-120.
  7. Presented a paper titled "Intrusion Prevention scheme" in CSI Sponsored Two-day National Conference on Emerging Trends in Information & Communication Technology held at Guru Nanak Engineering College. Pages 452-457, 2012.
  8. Presented a paper titled "K-means clustering for Bioinformatics Data" in APSCHE sponsored two-day National Conference held at Vikrama Simhapuri University, Nellore,pages 192-194, 2011.

ONLINE CERTIFICATION COURSES

  • Completed NPTEL online certification on "Data Mining".
  • Completed Microsoft Technology Associate certificate on "Introduction to programming using Python" conducted by Microsoft.
  • Completed a 4-week course on "Python for Data Science and AI" an online non- credit course authorized by IBM and offered through Coursera.
  • Completed a 6-week course on "Introduction to Data Science in Python" an online non- credit course authorized by University of Michigan and offered through Coursera.
  • Completed a 6-week course on "Machine Learning with Python" an online non- credit course authorized by IBM and offered through Coursera.
  • Completed a 4-week course on "Introduction to Applied Machine Learning" an online non- credit course authorized by Alberta Machine Intelligence Institute and offered through Coursera.