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Faculty Profile

Faculty Name: Yashaswini Urs

Designation: Assistant Professor

Program:

Professional Experience:

Teaching:  1 Year Research: Nil

Industry: Nil

Contact Details

Email ID

Official: yashaswiniurs.cs@atme.edu.in

Personal: yashaswinichaluveurs09@gmail.com

Vidwan ID

642410

Google Scholar ID

‪Yashaswini Urs – ‪Google Scholar

Scopus ID

 

Orcid ID

0009-0000-2909-4555

Web of Science Researcher ID

ODJ-2981-2025

LinkedIn ID

(23) Yashaswini Urs | LinkedIn

Academic Details

Qualification

  • Ph.D. in  Data Science (Pursuing)
  • MSc in  Computer Science and Information Technology
  • BSc in Maths, Statistics, Computer Science

Areas of Interest

  1. Core Computer Science
  2. Programming & Software Development
  3. Data Science
Publication Details
  1. Improving Fake Product Detection through a Priority-Based Feature Vector Approach in Machine Learning,”International Advanced Research Journal in Science, Engineering and Technology (IARJSET), vol. 11, no. 3, March 2024. doi: 10.17148/IARJSET.2024.11302.
Membership in Professional Bodies

 

FDPs/Conferences/Workshops/STTP/MOOC Certification
  1. The National College, Jayanagar (Bengaluru)
    • Organized by: Internal Quality Assurance Cell (IQAC)
    • Theme: Academic Integrity, Self-Awareness, and Ethics: Journey from Teacher to Guru
    • Mode: Offline
    • Duration: 5 Days (21st – 25th July 2025)
    • Participation: Successfully completed
  1. AIMS IBS Business School, Bengaluru
    • Organized by: AIMS IBS Business School
    • Theme: Contemporary Approaches to Research Paper Writing: Integrating Statistical Tools and AI for Enhanced Academic Publishing
    • Mode: Online
    • Duration: 5 Days (14th – 18th July 2025)
    • Participation: Successfully completed
Proposal/Funding/Project Financial Assistance
 
Patent
  1.  Application Number: 202441008759

Title of Invention: Digitizing Handwritten Prescriptions through Optical Character Recognition (OCR)

Roles and Responsibilities: Institute Level
 
Roles and Responsibilities: Department Level
 

 

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