SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad (U.P.)
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Ms. Geetanjali Tyagi

Ms. Geetanjali Tyagi

Assistant Professor•Department of Computer Science & Engineering

geetanjt@srmist.edu.in
9355062841
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10 Yrs
Teaching Experience
11 Yrs
Total Experience
Master's
Highest Qualification
6+
Published Works

About & Biography

AI and Deep Learning Researcher with 6+ years of professional experience at NIELIT, contributing to technology-driven projects and academic initiatives. Experienced as a Project Engineer with 3+ years of experience in the FutureSkills Prime Project under MeitY and NASSCOM. My areas of expertise include Artificial Intelligence, Deep Learning, Recommendation Systems, Transformer Models, Research, Teaching, and Student Mentoring. I am passionate about integrating research and teaching to develop practical, innovative, and impactful solutions in emerging technology domains.

Education & Qualifications

Masters2015
M.Tech
Computer Science & Engineering
SRM INSTITUTE OF SCIENCE & TECHNOLOGY
Masters2011
M.Sc.
Computer Science
MDU UNIVERSITY ROHTAK
Bachelors
B.Sc.
MDU UNIVERSITY ROHTAK
Diploma2011
Diploma in Engineering
Computer Science & Engineering
NIIT

Research Specialization & Focus Areas

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Digital Marketing

Scholarly Publications

6 publications
2026
01

Comparative Analysis of Traditional and Deep Learning Approaches for E-Commerce Product Recommendations: A Study on Amazon Dataset

Advances in Artificial Intelligence and Machine Learning—peer-reviewed, Scopus/SCI

02

A Systematic Review on Explainable Transformers and the Evolution of E-commerce Recommendation Systems

Advances in Artificial Intelligence and Machine Learning—peer-reviewed, Scopus/SCI

03

Artificial Intelligence-Driven Circular Economy Models: Transforming Resource Management and Sustainability

Springer—Book Chapter

2025
04

Context-Aware Recommender System with Dynamic Personalization

Springer—Conference proceeding

2023
05

A comparative review of convolutional neural networks, long short-term memory, and recurrent neural networks in recommendation systems

springer—Conference proceeding

06

Improving Accuracy of Recommendation Systems with Deep Learning Models

Springer—peer-reviewed, Scopus/SCI

Honors, Awards & Recognitions

  • Best Trainer Award

    2023

    NIELIT DELHI GOVT OF INDIA under MEITY (Inderlok Branch)

  • Teacher Day Award

    2022

    NIELIT DELHI GOVT OF INDIA under MEITY (Inderlok Branch)