Prof. Dr. Nithin Nagaraj
National Institute of Advanced Studies
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Academic Career Length
24Years (2003-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications11 July 2013 in The European Physical Journal Special Topics
Journal Article
1 November 2019 in Chaos: An Interdisciplinary Journal of Nonlinear Science
Journal Article
HBHarikrishnan Nellippallil Balakrishnan
Harikrishnan Nellippallil Balakrishnan
AKAditi Kathpalia
Aditi Kathpalia
SSSnehanshu Saha
Snehanshu SahaNithin NagarajInspired by chaotic firing of neurons in the brain, we propose ChaosNet—a novel chaos based artificial neural network architecture for classification tasks. ChaosNet is built using layers of neurons, each of which is a 1D chaotic map known as the Generalized Luröth Series (GLS) that has been shown in earlier works to possess very useful properties for compression, cryptography, and for computing XOR and other logical operations. In this work, we design a novel learning algorithm on ChaosNet that exploits the topological transitivity property of the chaotic GLS neurons. The proposed learning algorithm gives consistently good performance accuracy in a number of classification tasks on well known publicly available datasets with very limited training samples. Even with as low as seven (or fewer) training samples/class (which accounts for less than 0.05% of the total available data), ChaosNet yields performance accuracies in the range of . We demonstrate the robustness of ChaosNet to additive parameter noise and also provide an example implementation of a two layer ChaosNet for enhancing classification accuracy. We envisage the development of several other novel learning algorithms on ChaosNet in the near future.
1 April 2009 in Communications in Nonlinear Science and Numerical Simulation
Journal Article
31 January 2017 in The European Physical Journal Special Topics
Journal Article
Nithin NagarajKBKarthi Balasubramanian
Karthi Balasubramanian28 December 2017 in The European Physical Journal Special Topics
Journal Article
Nithin NagarajKBKarthi Balasubramanian
Karthi Balasubramanian6 December 2016 in PeerJ
Journal Article
KBKarthi Balasubramanian
Karthi BalasubramanianNithin NagarajAs we age, our hearts undergo changes that result in a reduction in complexity of physiological interactions between different control mechanisms. This results in a potential risk of cardiovascular diseases which are the number one cause of death globally. Since cardiac signals are nonstationary and nonlinear in nature, complexity measures are better suited to handle such data. In this study, three complexity measures are used, namely Lempel–Ziv complexity (LZ), Sample Entropy (SampEn) and Effort-To-Compress (ETC). We determined the minimum length of RR tachogram required for characterizing complexity of healthy young and healthy old hearts. All the three measures indicated significantly lower complexity values for older subjects than younger ones. However, the minimum length of heart-beat interval data needed differs for the three measures, with LZ and ETC needing as low as 10 samples, whereas SampEn requires at least 80 samples. Our study indicates that complexity measures such as LZ and ETC are good candidates for the analysis of cardiovascular dynamics since they are able to work with very short RR tachograms.
About Me
Dr. Nithin Nagaraj has a Bachelor's degree in Electrical and Electronics Engineering from National Institute of Technology Karnataka (NITK, Surathkal, 1999), a Master's degree in Electrical Engineering from Rensselaer Polytechnic Institute (RPI), Troy, New York, USA (2001), and a PhD from National Institute of Advanced Studies, Bengaluru (NIAS, 2010). He has previously held positions at GE Global Research, IISER-Pune, and Amrita Vishwa Vidyapeetham. He is currently Professor and Head, NIAS Complex Systems Programme, and a member of NIAS Consciousness Studies Programme. His research areas include Brain-inspired Artificial Intelligence, Chaos Theory, Information Theory, and Complexity theories of Causality and Consciousness. He has co-authored over 40 international peer-reviewed journal publications, and 75+ national and international conference paper presentations with over 1750 citations and H-index = 20 (Google Scholar). He has delivered over 150 invited talks at various national and international forums. He is the co-inventor of 8 US patent applications (2 patents granted) and 2 Indian patent applications. He was conferred the Distinguished Alumnus Award for outstanding service and contribution towards Research and Education by the NITK Surathkal Alumni Association (September 2024). He is a Senior Member of the IEEE, and an invited member of the Advisory Council of METI: Messaging Extra Terrestrial Intelligence International, USA.