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Mr. Shankar R

Assistant Professor


Qualification : BE, ME, (Ph.D) ,

Teaching Experience : 12 Years

Research Experience : 6 Years

Industry Experience : 1 Years

Specialization : Web Technologies



About me:
https://shankarrajagopal.github.io/

Memberships in Professional Bodies
  • INDIAN UNIT FOR PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (Membership No. L-167)
Skills
  • Java
  • HTML
  • JavaScript
  • x86 Assembly
  • OpenGL
  • PHP
Invited Talks Delivered : 8

Workshops Attended/Organized/Invited Talks
  • Web Programming
  • Web 2.0
  • DW - TCS
  • J2EE - TCS
  • Cloud Computing
  • Hadoop Ecosystem for Big Data
  • IoT Hardware and Software design
  • ETL and Data Analytics using Informatica & Python
  • National Conference in Advance Computing - May, 2017
  • Machine Learning for IoT Applications
  • Mean Stack

Additional Responsibilities
  • Website Coordinator
  • Official Email Coordinator
  • Coursera Coordinator
  • Developer of Open Course Online Registration.
  • Developer of Open Elective Online Registration.
  • UG-NBA-Criteria 2 Coordinator
  • PG-NBA-Criteria 1 Coordinator & to assist HoD

Journals
Journal Name Journal Type Volume Number Issue Number ISSN ISBN Paper Title
International Journal of Computer Science and Information Technologies international 5 6 0975-9646 EMET: Extracting Metadata using ElementTree to Recommend Tags for Web
International Journal of Advanced Research in Computer and Communication Engineering International Journal 5 4 2272-1021 A Survey on Sentimental Analysis in Different Indian Dialects
International Journal of Informative & Futuristic Research International 4 10 2347-1697 Text-Line Detection, Segmentation And Recognition In Natural Scene
International Journal of Engineering & Technology Scopus 7 3 Framework Enhancement for Common Public Radio Interface in SBTS
International Journal of Recent Technology and Engineering International 8 5 E6872018520 Corpora Based Classification to Perform Sentiment Analysis in Kannada Language

Conferences
Conference Name Venue Date Paper Title
National Conference on Advances in Computing (NCAC 2017) BMSIT&M 26-05-2017 Review Anlaysis through Voice Recognition

Awards/Recognition/Achievements/Others
  • Developed a comprehensive VTU CBCS Result Parser which scrapes the results into excel files. This highly helps in Result Analysis.
  • Wrote a Comprehensive Computer Graphics Lab Manual & Microprocessor & Microcontroller Lab Manual - helped students in analyzing lab programs in a brain-friendly way and made them to write their own programs
  • Consultancy - Corporate Trainer on OpenGL- MRIU, Faridabad - 13/08/19 to 16/08/19.
  • Consultancy - Trainer for Police Personnel, Govt. of Karanataka - 23/10/19 to 6/11/19.

MOOCs
  • The Data Science Course 2020: Complete Data Science Bootcamp - 25/07/2020 - Coursera
  • Perform Sentiment Analysis with scikit-learn - 18/07/2020 - Coursera