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Dr. Yojna Arora

Dr. Yojna Arora

Associate Professor , Computer Science & Engineering (CSE)

yojna.arora@sharda.ac.in

About

Dr. Yojna Arora is an Associate Professor with over 13 years of experience in higher education, research, and technical training. She is an accomplished educator and learning specialist with expertise in teaching, research, analytical thinking, leadership, and problem-solving.

Her research focuses on Large Language Models (LLMs), Big Data Analytics, Computer Vision, Artificial Intelligence, and Intelligent Data-Driven Systems. She is passionate about leveraging emerging AI technologies to develop innovative solutions for real-world challenges.

Experience
  • 13+ Years
Qualification
  • PhD CSE
  • M Tech- CSE
  • B Tech- IT
Award & Recognition

  • Received Certificate of Appreciation for Judging 6th Technovation Hackathon
  • Certificate of Appreciation for Evaluator in TechnoMania: Ideation
  • Received Letter of Appreciation from Quick Heal Technologies for exhibiting highest professional standards while exhibiting Cyber Shiksha Program
  • Received Letter of Appreciation from Foundation for Innovation and Technology Transfer, IIT Delhi for co-hosting the informative session on “Solve for Tomorrow
  • Received Bronze Medal for holding 3rd Position in M Tech
  • Received “Best in Leadership Qualities” award during M Tech

Research

  • Patents Filed/Published: 10
  • Scopus-Indexed Research Papers: 44
  • International Conference Publications: 20
  • Book Chapters: 10
  • Books Authored/Edited: 2

Other International Journal Publications: 40

Certifications

  • 8 weeks NPTEL course on “Assessment of Student Performance” with Elite Gold Badge
  • 8 weeks NPTEL course on “Accreditation and Outcome Based Learning” with Elite Silver Badge
  • 12 weeks NPTEL course on “Computer Architecture” with Elite Badge
  • 12 weeks NPTEL course on “Introduction to Large Language Models (LLMs)”

Web of Science Certification” Three-part series, by Clarivate.

Area of Interest

  • Big Data Analytics
  • Large Language Models
  • Computer Vision
  • Artificial Intelligence & Machine Learning