Patents
T. K. Reddy and S. D. Reddy, “A SYSTEM AND METHOD FOR DEPRESSION STAGE DETECTING HUMAN-COMPUTER INTERACTION,” IPO Appl. No. 202311083936, December 8, 2023. [Published]
Dataset
K. Kavya, S. D. Reddy, T. K. Reddy, December 18, 2024, "MUSEI-EEG: studying the effect of Music on Stress reduction quantified through Emotional Intelligence using EEG signal processing", IEEE Dataport, doi: https://dx.doi.org/10.21227/0z4y-hs76. Link
Journals
I. P. Prapurna, S. D. Reddy, T. K. Reddy, R. B. Pachori, V. Teju, "TILS: Transformer-Infused LSTM Stacking for Interpretable Stroke Prediction and Risk Assessment", Biomedical Signal Processing and Control Journal, 2025. (Under review)
S. D. Reddy, P. Deb and T. K. R. Bollu, "Čech Complex Generation with Homotopy Equivalence Framework for Myocardial Infarction Diagnosis using Electrocardiogram Signals," in IEEE Signal Processing Letters, doi: 10.1109/LSP.2025.3586189 Link
S. D. Reddy, T. K. Reddy, "Delaunay Triangulated Simplicial Complex Generation for EEG Signal Classification," in IEEE Sensors Letters, doi: 10.1109/LSENS.2024.3392982. Link
S. D. Reddy, R. Murugan, A. Nandi, T. Goel, "Classification of arrhythmia disease through electrocardiogram signals using sampling vector random forest classifier". Multimed Tools Appl 82, 26797–26827 (2023). https://doi.org/10.1007/s11042-022-14304-x. Link
Conference Proceedings
S. D. Reddy and T. K. Reddy, "Music Therapy based Stress Prediction using Homological Feature Analysis on EEG Signals," MBCC 2025 - Mind, Brain, and Consciousness Conference (MBCC), IIT Mandi, India. Link
I. P. Prapurna, S. D. Reddy, T. K. Reddy, "DSANA: Dual Sparse Attention Driven Neural Additive Framework for Comprehensive Stroke Prediction." In 2025 National Conference on Communications (NCC), pp. 1-6. IEEE, 2025. Link
S. D. Reddy and T. K. Reddy, "Geodesic Mean Threshold Scheme on Riemannian Manifold for EEG Signal Classification," ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India. Link
S. D. Reddy and T. K. Reddy, "GM-VRC: Semantic Topological Data Ensemble Approach for EEG Signal Classification," ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 1971-1975, doi: 10.1109/ICASSP48485.2024.10446927. Link
S. D. Reddy, T. K. Reddy and H. Higashi, "Chromatic Alpha Complex Generation for EEG Signal Classification," 2024 National Conference on Communications (NCC), Chennai, India, 2024, pp. 1-5, doi: 10.1109/NCC60321.2024.10485963. Link
S. D. Reddy, K. Gaurav and T. K. Reddy, "Schizophrenia and Bipolar Psychosis Classification with rsfMRI Functional Connectivity Feature Fusion technique using Super Learner," 2023 IEEE Silchar Subsection Conference (SILCON), Silchar, India, 2023, pp. 1-6, doi: 10.1109/SILCON59133.2023.10404202. Link
K. Gaurav, S. D. Reddy, and T. K. Reddy, "Entropy based EEG irregularity quantification in Single-Channel SSVEP-based BCIs," 2023 IEEE Silchar Subsection Conference (SILCON), Silchar, India, 2023, pp. 1-6, doi: 10.1109/SILCON59133.2023.10404149. Link
S. D. Reddy, S. Goyal, and T. K. Reddy, "Riemannian Approach Based Depression classification using Transfer Learning for MEG signals," 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON), Mysore, India, 2023, pp. 1-4, doi: 10.1109/INDISCON58499.2023.10270192. Link
S. D. Reddy, R. Murugan, A. Nandi, and T. Goel, "Arrhythmia Detection and Classification Using Two Stage Median Filter Through Dynamic Features of ECG Signals". 2021 International Conference on Communication, Devices and Computing (pp. 675-687). Singapore: Springer Nature Singapore. Link
Book Chapters
S. D. Reddy, T. K. Reddy, 2026."Automated Visual Attention Analysis System using Non-Euclidean Feature Analysis through EEG Signals". In Non-stationary and nonlinear data processing for automated computer-aided medical diagnosis. Elsevier. (In Press)
S. D. Reddy, S. Goyal, T. K. Reddy, R. Vinjamuri, and J. Andreu-Perez, 2024."Riemannian deep feature fusion with autoencoder for MEG depression classification in smart healthcare applications". In Data Fusion Techniques and Applications for Smart Healthcare (pp. 197-212). Academic Press. Link
S. D. Reddy, T. K. Reddy, 2024."A Regularized Riemannian Intelligent System for Dementia Screening Using Magnetoencephalography Signals". In Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing (pp. 136-149). CRC Press. Link
Abstracts
S. D. Reddy, K. Gaurav, and T. K. Reddy, "Neural Graph Learning with Batch Regularization for Mobile BCI Embedding Multiclass Label Prediction," mbt Conference 2.0, Belgrade, pp. 41 2023. Link
K. Gaurav, S. D. Reddy, and T. K. Reddy, "Multimodal Event Marker Extraction and Motion Data Processing in Mobile Brain and Body Imaging using The BeMoBIL Pipeline for mobile EEG device," mbt Conference 2.0, Belgrade, pp. 35 2023. Link
Competitions
Participated in the BR41N.IO spring school 2025 one-day hackathon for Stroke Rehabilitation Data Analysis competition.
Acquired top 5th position in the ICASSP SPCup challenge 2023 for psychosis classification using rsfMRI data (Team tutor).
Participated in the IndoML 2022 challenge for document classification using image data.
Winner of the Depression Classification Challenge using MEG signal data held at BIOMAG 2022.
Workshops
Applications of Driving Simulators and VR in Advanced Road Safety Research Workshop, October 2024, at IIT Roorkee.
SERB- Karyashala 2024 workshop on "Artificial Intelligence for Human Brain-Computer Interaction: Innovations in Machine Learning and Signal Processing for Emergence of Health 5.0", at IIT Roorkee (Student Coordinator).
SERB- Karyashala 2023 workshop on Artificial Intelligence for Biomedical Applications, at IIT BHU.
INDOML 2022, at IIT Gandhinagar.