Announcement:

Naveen S Pagad

Assistant Professor

Department of Computer Science and Engineering

Email: naveenspagad@nie.ac.in
Phone No: 9964006531
About Me:

Mr. Naveen S Pagad received a B.E. degree in Information Science and Engineering from G.M Institute of Technology, Davangere in the year 2007, and M.Tech in Computer Science and Engineering from Bapuji Institute of Engineering and Technology, Davangere in 2010. He is having fourteen years of teaching experience. He is currently pursuing a Ph.D. under VTU, Belagavi.

His subjects of interest include Computer Networks, Machine Learning, Natural Language Processing, and Programming Languages
  • B.E.
  • M.Tech
  • (Ph.D)
  • Assistant Professor
  • Published paper titled “Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm”, Hindawi Computational Intelligence and Neuroscience, Volume 2022, Article ID 5759521, https://doi.org/10.1155/2022/5759521.
  • Published paper titled “End-to-End Relation Extraction on Clinical Text Data using Natural Language Processing”, Azerbaijan Journal of High Performance Computing, Vol 4, Issue 2, 2021, pp. 232-241, https://doi.org/10.32010/26166127.2021.4.2.232.241.
  • Presented paper titled “Clinical Named Entity Recognition Methods: An Overview” in the 4th International Conference on Innovative Computing and Communication (ICICC- 2021), organized by Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi, India in association with National Institute of Technology Patna, India and University of Valladolid, Spain on 20th-21st February, 2021.
  • Paper entitled “Relationship Extraction in Clinical Health Data using NLP” published in IJERT, Volume 6, Issue 15, 2018.
  • Paper entitled “Automatic Vehicle Recognition System for Enforcing Security in Restricted Places using MATLAB”, International Journal of Scientific Development and Research, Volume 2, Issue 6 June 2017.
  • Project entitled “Handwritten Digit Recognition and Classification Using Machine Learning” was selected in KSCST 44th series project exhibition during 2020-21.
  • Project entitled “Kidney Disease Prediction using Machine Learning Technique” was selected in KSCST 43rd series project exhibition during 2019-20.
  • Project entitled “Virtual Classroom Using Web RTC Technology” was selected in KSCST 41st series project exhibition during 2017-18.
  • Project entitled “Performance Analysis of Routing Protocols using NS-2 Project” supported by DRDO, Hassan during Jan to June 2012.