| 2025 | DEXA | Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions. | Himanshi Singh, Sadhana Tiwari, Ritesh Chandra, Sonali Agarwal, Sanjay Kumar Sonbhadra, Vrijendra Singh |
| 2023 | IJCNN | Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. | Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2022 | EASE | Software Testing and Quality Assurance for Data Intensive Applications. | Sonali Agarwal, Sanjay Kumar Sonbhadra, Narinder Singh Punn |
| 2022 | ICONIP | Anomaly Detection in Surveillance Videos Using Transformer Based Attention Model. | Kapil Deshpande, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2022 | ICONIP | Impact of the Composition of Feature Extraction and Class Sampling in Medicare Fraud Detection. | Akrity Kumari, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2021 | DEXA | BERT-Based Sentiment Analysis: A Software Engineering Perspective. | Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2021 | ICONIP | Recommending Best Course of Treatment Based on Similarities of Prognostic Markers. | Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2021 | IJCNN | Fruit classification using deep feature maps in the presence of deceptive similar classes. | Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran |
| 2021 | PAKDD | Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function. | Nikhil Nasalwai, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal |