Reconstruction of Three-dimensional Scroll Wave Chaos in Opaque and Transparent Excitable Media using Deep Neural Networks. - Jan Lebert; Meenakshi Mittal; Jan Christoph (CoRR, 2022)

Deep learning approaches for detecting DDoS attacks: a systematic review. - Meenakshi Mittal; Krishan Kumar 001; Sunny Behal (Soft Comput., 2023)

DL-2P-DDoSADF: Deep learning-based two-phase DDoS attack detection framework. - Meenakshi Mittal; Krishan Kumar 001; Sunny Behal (J. Inf. Secur. Appl., 2023)

A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease. - Arshdeep Kaur; Meenakshi Mittal; Jasvinder Singh Bhatti; Suresh Thareja; Satwinder Singh (Artif. Intell. Medicine, 2024)

Fine-tuned convolutional neural networks for feature extraction and classification of scanned document images using semi-automatic labelling approach. - Krishna Kumar; Nakkala Srinivas Mudiraj; Meenakshi Mittal; Satwinder Singh (Int. J. Intell. Eng. Informatics, 2024)

Askademia: A Real-Time AI System for Automatic Responses to Student Questions. - Meenakshi Mittal; Gaurav Tyagi; Azalea Bailey; Gireeja Ranade; Narges Norouzi (AIED (4), 2025)

Raising the Bar: Automating Consistent and Equitable Student Support with LLMs. - Meenakshi Mittal; Azalea Bailey; Victoria Phelps; Mihran Miroyan; Chancharik Mitra; Rishi Jain; Rose Niousha; Gireeja Ranade; Narges Norouzi (SIGCSE (2), 2025)