SS
shweta singhal
Also known as: Shweta Jindal, S. Singhal, S. Jindal
Indira Gandhi Delhi Technical University for Women, Netaji Subhas University of Technology, Guru Gobind Singh Indraprastha University University School of Information & Communication Technology
Employment
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Indira Gandhi Delhi Technical University for Women Assistant Professor2024 - Present
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Indira Gandhi Delhi Technical University for Women Assistant Professor (GUEST)2018 - 2024
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Netaji Subhas University of Technology Assistant Professor (GUEST)2018 - 2019
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Guru Gobind Singh Indraprastha University University School of Information & Communication Technology Assistant Professor2012 - 2015
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JaganNath Institute of Management Sciences Assistant Professor2011 - 2012
Education
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Guru Gobind Singh Indraprastha University University School of Information & Communication Technology Master in Technology (Information Technology)2009 - 2011
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Northern India Engineering College New Delhi Bachelor of Technology (Electronics & Communication Engineering)2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (65)
- Multi-class Stress Detection Using Hybrid Few-Shot and Ensemble Transformer Frameworks Save
- Accuracy and Computational Trade-offs in Metaheuristic-Deep Learning Hybrid Intrusion Detection Systems Save
- Understanding the effect of time-constraint bounded novel technique for regression test selection and prioritization (vol 6, pg 71, 2015) Save
- Object Detection on Pascal VOC: A Comprehensive Evaluation of Cutting-Edge YOLO Models Save
- House of Mirrors: A Survey on Hallucination Detection and Mitigation via Decoding Techniques in Language Models Save
- From Text to Multimodal Signals: A Comprehensive Review of Transformer-Based Stress Detection Models Save
- Decoding Breast Cancer Prognosis: An AI-Driven Analytical Approach to Genetic Markers and Prediction Metrics Save
- Advancing Indian Vehicle Detection Using YOLO11 and YOLO12 with SAHI Optimization Save
- A unified hybrid approach to deepfake video recognition Save
- Fortifying image classification integrity: Adversarially resilient deep learning with explainable robustness mechanisms Save