| 2025 | ECAI | Explainable Multimodal Hybrid Vision Transformers for Emotional Speech Recognition. | Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz, Kinga Chwaleba, Weronika Wach, Vimala Nunavath |
| 2019 | SMC | CrowdVAS-Net: A Deep-CNN Based Framework to Detect Abnormal Crowd-Motion Behavior in Videos for Predicting Crowd Disaster. | Tanu Gupta, Vimala Nunavath, Sudip Roy |
| 2018 | DeSE | A Multi-layer Feed Forward Neural Network Approach for Diagnosing Diabetes. | Micheal Dutt, Vimala Nunavath, Morten Goodwin |
| 2018 | EANN | Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character. | Svein Inge Albrigtsen, Alexander Imenes, Morten Goodwin, Lei Jiao, Vimala Nunavath |
| 2018 | EANN | Deep Neural Networks for Prediction of Exacerbations of Patients with Chronic Obstructive Pulmonary Disease. | Vimala Nunavath, Morten Goodwin, Jahn Thomas Fidje, Carl Erik Moe |
| 2017 | HCI | LifeRescue Software Prototype for Supporting Emergency Responders During Fire Emergency Response: A Usability and User Requirements Evaluation. | Vimala Nunavath, Andreas Prinz |
| 2017 | HCI | Data Sources Handling for Emergency Management: Supporting Information Availability and Accessibility for Emergency Responders. | Vimala Nunavath, Andreas Prinz |
| 2016 | HCI | Taking the Advantage of Smartphone Apps for Understanding Information Needs of Emergency Response Teams' for Situational Awareness: Evidence from an Indoor Fire Game. | Vimala Nunavath, Andreas Prinz |
| 2015 | HCI | On the Usability of Smartphone Apps in Emergencies - An HCI Analysis of GDACSmobile and SmartRescue Apps. | Parvaneh Sarshar, Vimala Nunavath, Jaziar Radianti |