| 2026 | SANER | Leveraging Commit-Size Context and Hyper Co-Change Graph Centralities for Defect Prediction. | Amit Kumar, Ethari Hrishikesh, Sonali Agarwal |
| 2025 | DEXA | Ontology-Based Forest Fire Management Using Complex Event Processing and Large Language Models. | Ritesh Chandra, Sonali Agarwal, Sadhana Tiwari |
| 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 |
| 2025 | EASE | Co-Change Graph Entropy: A New Process Metric for Defect Prediction. | Ethari Hrishikesh, Amit Kumar, Meher Bhardwaj, Sonali Agarwal |
| 2025 | Tencon | Causal LIME: Enhancing Local Explanations with Causal Perturbations for Military Sensor Data. | Trupthi Rao, Navjot Singh, Sonali Agarwal |
| 2024 | CIT | An Enhancement of Breast Cancer Abnormalities Detection Using Deep CNN. | Ritesh Chandra, Shashi Shekhar Kumar, Sadhana Tiwari, Rushil Patra, Sonali Agarwal |
| 2024 | COMPSAC | Prevalence and Prediction of Unseen Co-Changes: A Graph-Based Approach. | Amit Kumar, Ethari Hrishikesh, Yugandhar Deasi, Sonali Agarwal |
| 2023 | CIT | A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models. | Anand Geed, Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Krishna Pratap Singh |
| 2023 | CIT | AI-Enabled Learning for Imbalanced Class Data using Spark Streaming Concepts. | Sadhana Tiwari, Mohammad Zohair, Ritesh Chandra, Sonali Agarwal, Parikshit Agarwal |
| 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 |
| 2022 | ICONIP | An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data. | Sadhana Tiwari, Ritesh Chandra, 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 |
| 2019 | APSEC | Studying Multifaceted Collaboration of OSS Developers and its Impact on their Bug Fixing Performance. | Mahen Gandhi, Amit Kumar, Yugandhar Desai, Sonali Agarwal |
| 2019 | DaWaK | Scalable Least Square Twin Support Vector Machine Learning. | Bakshi Rohit Prasad, Sonali Agarwal |
| 2019 | Tencon | Anticounterfeiting in Pharmaceutical Supply Chain by establishing Proof of Ownership. | Rohit Raj, Nandini Rai, Sonali Agarwal |