| 2026 | ICPRAM | HDLSS Raman Spectroscopy Data Generation Using GANs and Genetic Algorithms. | Thomas Poudevigne-Durance, Sahil Sharma, Sayantan Tripathy, Ng Ka Wai, Muskaan Singh, Liam McDaid, Gerard L. Cote, Samuel B. Mabbott, Saugat Bhattacharyya |
| 2024 | ICONIP | Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data. | Ravi Kumar Jha, Nikola K. Kasabov, Damien Coyle, Saugat Bhattacharyya, Girijesh Prasad |
| 2023 | SMC | Decoding Neural Activity for Part-of-Speech Tagging (POS). | Salman Ahmed, Muskaan Singh, Saugat Bhattacharyya, Damien Coyle |
| 2023 | SMC | An Automated Detection of Amyotrophic Lateral Sclerosis from Resting-State MEG Data Using 3D Deep Convolutional Neural Network. | Kaniska Samanta, Sujit Roy, Vronique Marchand-Pauvert, Shirin Dora, Stphanie Duguez, Muskaan Singh, Girijesh Prasad, Saugat Bhattacharyya |
| 2020 | IJCNN | Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application. | Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya |
| 2020 | IJCNN | Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. | Haider Raza, Anirban Chowdhury, Saugat Bhattacharyya, Spyros Samothrakis |
| 2016 | SMC | A study on the effect of Electrical Stimulation during motor imagery learning in Brain-computer interfacing. | Saugat Bhattacharyya, Maureen Clerc, Mitsuhiro Hayashibe |
| 2012 | IJCNN | Object-shape recognition from tactile images using a feed-forward neural network. | Anwesha Khasnobish, Arindam Jati, Garima Singh, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Eunjin Kim, Atulya K. Nagar |
| 2011 | IJCNN | A Two-fold classification for composite decision about localized arm movement from EEG by SVM and QDA techniques. | Anwesha Khasnobish, Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala, Atulya K. Nagar |