Aditi Kathpalia is a PhD scholar at NIAS. She received B.Tech. degree in Bioengineering and M.Tech. degree in Biomedical Technology from IIT (BHU), Varanasi, India, in 2015. She completed her master’s thesis with the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. She continued work with NTNU as a Research Assistant for a
year, focusing on ultrasound Doppler signal processing and low-cost Doppler technology development. In 2016, she joined as a PhD scholar in the Consciousness Studies Program at NIAS under Dr. Nithin Nagaraj. Her PhD thesis is on ‘Theoretical and Experimental Investigations into Causality, its Measures and Applications’. In her PhD research, she has worked on developing a novel interventional measure for causality testing of time series data based on compression-complexity. The measure has been tested on simulations and implemented for analysis of functional brain connectivity using real-data from the brain.

Other areas to which her research has contributed include: testing of causality using sparse signals, providing a causal perspective for understanding synchronization in coupled chaotic systems and detecting the arrow of time in time-series data.

Publications:

• Kathpalia, A. and Nagaraj, N. (2019). Causal stability and synchronization. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(9), 091103.
• Kathpalia, A. & Nagaraj, N. (2019). Data-based intervention approach for Complexity-Causality measure. PeerJ Computer Science, 5, e196.
• 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.
• 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.