DA
Dr. NIDHI AGARWAL
Galgotias University, Delhi Technical Campus, Indira Gandhi Delhi Technical University for Women, IETE, Krishna Institute of Engineering & Technology, UP TECHNICAL UNIVERSITY
About
A Computer Science and engineering faculty with 18 years of experience, a researcher with good communication skills, strong subject knowledge, NTA NET Qualified, strong bond with students. Punctual, diligent, and quickly responsive. National Merit Scholarship Holder by CBSE Board for outstanding performance in mathematics in class 10. Chapter writer of CSE topics, Reviewer, and Editorial Board Member of many reputed journals.
Employment
-
Galgotias University Associate Professor2023 - Present
-
Delhi Technical Campus Assistant Professor2022 - 2023
-
Krishna Institute of Engineering & Technology Assistant Professor2021 - 2022
-
Indira Gandhi Delhi Technical University for Women Visiting Faculty2019 - 2021
-
Inderprastha Engineering College Senior Lecturer, Assistant Professor2009 - 2019
-
Hi-Tech Institute of Engineering & Technology Senior Lecturer and HOD2008 - 2009
-
Raj Kumar Goel Institute of Technology Lecturer2005 - 2008
-
KEC DWARAHAT Part Time Lecturer2004 - 2005
Education
-
Indira Gandhi Delhi Technical University for Women Ph.D2019 - 2024
-
IETE M.TECH2008 - 2011
-
UP TECHNICAL UNIVERSITY B.TECH2000 - 2004
Projects & Funding
Projects & funding information is unavailable.
Publications (42)
- Personalization in Digital Marketing: Enhancing Consumer Engagement Using AI Save
- Significant Impact of Feature Engineering and Data Analysis on Model Accuracy Save
- Optimizing Ensemble Models with Cognitive Computing: A Dual-Level Pruning Approach for Enhanced Decision-Making Save
- Clustering-based Anomaly Detection for Sensor Networks: A Lightweight Density-Grounded Approach Save
- Forecasting Future Credit Card Delinquencies: Leveraging Data Tables and Visual Analysis for Enhanced Accuracy Save
- Optimizing Tuberculosis Risk Prediction Through Advanced Logistic Models and Data-Driven Approaches Save
- Predictive Modelling for Parkinson's Disease Diagnosis using Biomedical Voice Measurements Save
- A Novel Model to Predict the Whack of Pandemics on the International Rankings of Academia Save
- IoT-based patient stretcher movement simulation in smart hospital using type-2 fuzzy sets systems Save
- Doctor unpredicted prescription handwriting prediction using triboelectric smart recognition Save