RVR & JC
College of Engineering (Autonomous)
NAAC 'A+' Grade || 5 Times NBA Accredited || ISO 9001:2015 Certified
Department of
Computer Science & Engineering
(Artificial Intelligence & Machine Learning)
Main Website
Vision & Mission PEOs, POs & PSOs HoD's Desk
Faculty Supporting Staff
Academic Regulations Academic Calendar Scheme & Syllabus Class In-charges Fee Structure
Publications Guides & Scholars Patents Research Projects
Laboratories Dept.Library Value Added Courses
Placements Internships Students Achivements
☰
Vision & Mission PEOs, POs & PSOs HoD's Desk
Faculty Supporting Staff
Academic Regulations (R20) Academic Calendar Scheme & Syllabus Class In-charges Fee Structure
Publications Guides & Scholars Patents Research Projects
Laboratories Dept. Library Value Added Courses
Pacements Internships Students Achivements

Dr.P.Ravi Kumar, Associate Professor

#

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: 15 (Journals: 06 & Conferences:09)
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, Springer:1)

  1. Palacharla Ravi Kumar, Vatsavayi Valli Kumari "A Novel Approach for Text Classification Using Feature Selection Algorithm and Term Weight Measures",Accelerating Discoveries in Data Science and Artificial Intelligence I. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 421. May 2024,pp 287-301.(Springer)
  2. 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)
  3. 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)
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.