Continuous Emotion Profiling and Mental Health Evaluation Using Deep Learning in Text-Based Applications
International Conference on Green Artificial Intelligence and Industrial Applications—Conference proceeding
Established 199785+ Faculty Members
Computer Science & Engineering
Empowering Next-Generation Computing, AI Systems & Software Engineering
2 year 10 months
Teaching Experience
2 years 10 months
Total Experience
Ph.D.
Highest Qualification
8+
Published Works
About & Biography
Dr. Atulya Gupta is an Assistant Professor in Computer Science and Engineering at SRM Institute of Science and Technology, Delhi-NCR Campus. She holds a Ph.D. and M.Tech. in CSE and has authored several research papers in reputed international journals and conferences. Her research interests include Software Engineering, Software Testing, Software Validation and Verification, Machine Learning, and Natural Language Processing. Her teaching philosophy focuses on conceptual clarity, practical learning, problem-solving, and encouraging students to apply knowledge to real-world challenges.
Education & Qualifications
Doctorate2024
Ph.D.
Computer Science and Engineering
SRM Institute of Science and Engineering, Delhi-NCR Campus, Ghaziabad
Masters2019
M.Tech
Computer Science and Engineering
SRM Institute of Science and Engineering, Delhi-NCR Campus, Ghaziabad
Bachelors2017
B.Tech
Computer Science and Engineering
Dr. KedarNath Modi Institute of Science and Technology, Modinagar
Research Specialization & Focus Areas
- Artificial Intelligence
- Natural Language Processing
- Software Testing
- Software Engineering
- Machine Learning
Scholarly Publications
8 publications
2025
The Cognitive and Commercial Influence of AI: A Tri-Perspective Study on Marketing and Human Behavior
International Conference on Microelectronics, Electromagnetics and Telecommunication—Conference proceeding
Fuzzy Logic-Enhanced Expert System for Real-Time Anomaly Detection in CNC Machines
Journal of Machine and Computing—peer-reviewed, Scopus/SCI
2024
Exploring the Power of Vision Transformer (ViT) and MLP-Mixer in Image Classification: A Comparative Study and Prospects for ViT-Mixer Architecture
2024 4th International Conference on Innovative Sustainable Computational Technologies (CISCT)—Conference proceeding
2023
Test case generation and history data analysis during optimization in regression testing: An NLP study
Cogent Engineering—peer-reviewed, Scopus/SCI
Test case prioritization in unit and integration testing: A shuffled-frog-leaping approach
Computers, Materials & Continua—peer-reviewed, Scopus/SCI
Honors, Awards & Recognitions
MACHINE LEARNING-DRIVEN INTRUSION DETECTION SYSTEM FOR SECURE WIRELESS NETWORKS USING BLOCKCHAIN
2024Indian Patent Office
AI-DRIVEN ADAPTIVE CONTROL MECHANISM FOR COLLABORATIVE HUMAN-ROBOT MANUFACTURING IN INDUSTRY 5.0
2025Indian Patent Office
SYSTEM AND METHOD FOR FRAUD DETECTION AND RISK MANAGEMENT IN FINTECH TRANSACTIONS USING MACHINE LEARNING
2025Indian Patent Office