The broad overarching theme of our group is to develop novel techniques and learning algorithms for better characterization of biomedical signals (time series); understanding interactions and synchronization between signals; and predicting diagnosis, extreme events and suitable control interventions. One of the focus areas of application is neuroscience. We are also interested in the application of the developed tools in other complex systems such as in earth sciences. In this context, our research interests are outlined below:

• Causal discovery
• Information theory
• Non-linear dynamics, Complex systems
• Signal processing
• Causal Machine Learning, Chaos-inspired Machine Learning
• Applications of the above in neuroscience and climate

Department of Applied Mechanics & Biomedical Engineering,
Mechanical Sciences Block Building,Alumni Ave,
IIT Madras, Chennai - 600036.
Email: aditi@iitm.ac.in

1. Kathpalia, A. and Nagaraj, N. (2023). Granger causality for compressively sensed sparse signals. Physical Review E 107(3), 034308. https://doi.org/10.1103/PhysRevE.107.034308
2. Kathpalia, A., Manshour, P. and Paluš, M. (2022). Compression complexity with ordinal patterns for robust causal inference in irregularly sampled time series. Scientific Reports, 12, 14170. https://doi.org/10.1038/s41598-022-18288-4
3. Kathpalia, A. and Nagaraj, N. (2021). Time-Reversibility, Causality and Compression-Complexity. Entropy, 23(3), 327. https://doi.org/10.3390/e23030327
4. Kathpalia, A. & Nagaraj, N. (2021). Measuring causality: The science of cause and effect. Resonance: Journal of Science Education, 26(2), 191-210. https://doi.org/10.1007/s12045-021-1119-y
5. Balakrishnan, H.N., Kathpalia, A., Saha, S. & Nagaraj, N. (2019). ChaosNet: A chaos based artificial neural network architecture for classification. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(11), 113125. https://doi.org/10.1063/1.5120831
6. Kathpalia, A. and Nagaraj, N. (2019). Causal stability and synchronization. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(9), 091103. https://doi.org/10.1063/1.5121193
7. Kathpalia, A. & Nagaraj, N. (2019). Data-based intervention approach for Complexity-Causality measure. PeerJ Computer Science, 5, e196. https://doi.org/10.7717/peerj-cs.196
8. Kathpalia, A., Karabiyik, Y., Eik-Nes, S. H., Tegnander, E., Ekroll, I. K., Kiss, G. & Torp, H. (2016). Adaptive spectral envelope estimation for doppler ultrasound. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 63(11), 1825-1838. https://doi.org/10.1109/TUFFC.2016.2587381

1. Paluš, M., Kathpalia, A. & Brunovský, M. (2023). EEG Connectivity in Treatment of Major Depressive Disorder: Tackling the Conductivity Effects. In Proceedings of 14th International Conference on Measurement. Oral presentation by M.P. in Smolenice, Slovakia, 29-31 May, 2023.
2. Bhattacharjee, M., Kathpalia, A., Brunovský, M. & Paluš, M. (2023). Phase-based Causality Analysis of EEG in Treatment of Major Depressive Disorder. In Proceedings of 14th International Conference on Measurement. Oral presentation by M.B. in Smolenice, Slovakia, 29-31 May, 2023.
3. Ghosh, A., Bhattacharjee, M., Kathpalia, A., Brunovský, M. & Paluš, M. (2023). Phase Dynamics and Directed EEG Connectivity in Treatment of Major Depressive Disorder. In Proceedings of 14th International Conference on Measurement. Oral presentation by A.G. in Smolenice, Slovakia, 29-31 May, 2023.
4. Hlaváčková-Schindler, K., Pacher, C., Plant, C., Lazarenko, M., Paluš, M., Hlinka, J., Kathpalia, A. & Brunovský, M. (2023). Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results. In Proceedings of 14th International Conference on Measurement. Oral presentation by K.S. in Smolenice, Slovakia, 29-31 May, 2023.
5. Balakrishnan, H. N., Kathpalia, A., & Nagaraj, N. (2022). Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning. Advances in Neural Information Processing Systems (Proceedings of NeurIPS 2022). Online presentation by H.N.B., 28 Nov - 9 Dec, 2022.
6. Agarwal, N., Kathpalia, A. & Nagaraj, N. (2019). Distinguishing Different Levels of Consciousness using a Novel Network Causal Activity Measure. In Proceedings of IEEE conference on Global Conference for Advancement in Technology (IEEE GCAT). Oral presentation in Bengaluru, India, 18-19 October, 2019.
7. Kathpalia, A. & Nagaraj, N. (2019). A Novel Compression based Neuronal Architecture for Memory Encoding. In Proceedings of the 20th International Conference on Distributed Computing and Networking, ACM (pp. 365-370). Oral presentation in IISc, Bengaluru, India, 4-7 January, 2019.
8. MA, A., Nambissan, A., Gopinath, A., M, K., Kathpalia, A. & Nagaraj, N. (2018). Structured Compressed Sensing Matrices for Causality Detection. In Proceedings of 3rd IEEE Intl. Conf. on Recent Trends in Elec., Info. & Comm. Tech. (RTEICT). Oral presentation in Bengaluru, India, 18-19 May 2018.
9. Kathpalia, A., Karabiyik, Y., Simensen, B., Tegnander, E., Eik-Nes, S., Torp, H., Ekroll, I.K. and Kiss, G. (2015). A Robust Doppler Spectral Envelope Detection Technique for Automated Blood Flow Measurements. In Proceedings of 2015 IEEE International Ultrasonics Symposium (IUS). Poster presentation in Taipei, Taiwan, 21-24 October 2015.

1. Kathpalia, A., Manshour, P. & Paluš, M. (2024). Compression-complexity based estimation of Causality: Applications in Earth and Climate Sciences. Poster presentation at European Geosciences Union General Assembly 2024, Vienna, Austria, 14-19 April, 2024.
2. Kathpalia, A., Manshour, P. & Paluš, M. (2023). Causal inference for time series using compression-complexity. Oral presentation at Dynamics Days Europe, Naples, Italy, 3-8 September, 2023.
3. Kathpalia, A. & Nagaraj, N. (2023). Spectral estimation based on compressibility. Oral presentation at Perspectives in Nonlinear Dynamics, IIT Madras, Chennai, India, 1-4 August, 2023.
4. Kathpalia, A., Balakrishnan, H. N., & Nagaraj, N. (2023). A hybrid Neurochaos Learning-Reservoir Computing architecture for prediction. Poster presentation by H.N.B. at Dynamics Days US (Online), 9 – 11 Jan, 2023.
5. Kathpalia, A., Manshour, P. & Paluš, M. (2022). Permutation Compression-Complexity Causality for robust causal inference from irregularly sampled time series, Oral presentation at Conference on Complex Systems (CCS22), Palma de Mallorca, Spain, 17-21 October, 2022.
6. Nagaraj, N. & Kathpalia, A. (2022). Strengths of Effort-To-Compress Complexity for analyzing time series from complex systems, Poster presentation at Conference on Complex Systems (CCS22), Palma de Mallorca, Spain, 17-21 October, 2022.
7. Kathpalia, A. & Nagaraj, N. (2022). Multivariate Granger Causal Discovery for Compressively Sensed Signals. Oral presentation at NETDAT22 workshop, Max Planck Institute for the Physics of Complex Systems, Dresden, Germany, 12-21 September, 2022.
8. Kathpalia, A., Manshour, P. & Paluš, M. (2022). Robust Causal Inference for Irregularly Sampled Time Series from Dynamical Systems, Oral presentation at Dynamics Days Europe, University of Aberdeen, UK, 22-26 August, 2022.
9. Kathpalia, A. and Nagaraj, N. (2022). Causal Properties of Synchronizing Systems, Oral presentation at Dynamics Days Europe, University of Aberdeen, UK, 22-26 August, 2022.
10. Kathpalia, A., Manshour, P. & Paluš, M. (2022). Robust Causal Inference for Irregularly Sampled Time Series: Applications in Climate and Paleoclimate Data Analysis. Oral presentation at The General Assembly of the European Geosciences Union (EGU22), Vienna, Austria, 23-27 May, 2022.
11. Kathpalia, A., Manshour, P. & Paluš, M. (2022). Ordinal Patterns for ‘Compression-Complexity’ based Causality Detection. Oral presentation at International Workshop on Ordinal methods: Concepts, applications, new developments and challenges (ORPATT22), Max Planck Institute for the Physics of Complex Systems, Dresden, Germany (Online), 28 Feb-4 March, 2022.
12. Kathpalia, A. & Nagaraj, N. (2022). Measuring the Level of Consciousness in the Brain using Network Connectivity Approaches. Oral presentation at 8th Annual Conference of Cognitive Science (ACCS8), Online, 20-22 January, 2022.
13. Kathpalia, A. & Nagaraj, N. (2021). Causal Criteria for Synchronization. Oral presentation at 13th Conference on Non-linear Systems and Dynamics (CNSD), Online, 17-22 December, 2021.
14. Kathpalia, A. & Nagaraj, N. (2021). Information-theoretic Underpinnings of the Effort-to-Compress Complexity Measure. Oral presentation at the 1st International Electronic Conference on Information (IECI2021), Online, 1-15 December, 2021.
15. Kathpalia, A. & Nagaraj, N. (2018). Detecting Anticipating and Complete Synchronization using Causality Testing Methods. Poster presentation at Conference on Nonlinear Systems and Dynamics (CNSD), Jawaharlal Nehru University, New Delhi, India, 11-14 October 2018.
16. Kathpalia, A. & Nagaraj, N. (2018). Deciphering Anticipating Synchronization using Causality Testing Methods. Oral presentation at International Conference on Causality in the Neuro- and Psychological Sciences, Univ. of Antwerp, Belgium, 19-21 September 2018.
17. Kathpalia, A. & Nagaraj, N. (2017). Measuring Causality using Compression-Complexity. Poster presentation at BrainModes, National Brain Research Centre, Manesar, India, 11-14 December 2017.
18. Kathpalia, A. & Nagaraj, N. (2017). A New Approach to Causality based on Compression-Complexity. Oral presentation at The Science of Consciousness, San Diego, USA, 5-10 June 2017.