Deterministic Chaos is universal — from patterns in the decimal expansions of numbers to models for weather prediction to complex dynamics in biological systems including the heart and the brain.
Geometric depictions of most chaotic processes show fractal structures (self-similarity) which have infinitely beautiful patterns. In this talk, we shall take a tour of the wonderful world of Chaos and Fractals. We shall also explore some applications of Chaos and Fractals including a recently proposed chaos-based machine-learning algorithm.
About the Speaker
Nithin Nagaraj has a bachelor’s degree in Electrical and Electronics Engineering from National Institute of Technology Karnataka (NITK Surathkal, 1999), a masters’s degree in Electrical Engineering from Rensselaer Polytechnic Institute (RPI), Troy, New York, USA (2001) and PhD from National Institute of Advanced Studies, Bengaluru (NIAS, 2010). He has previously held positions at GE Global Research, IISER-Pune and Amrita University. He is currently Associate Professor at National Institute of Advanced Studies (NIAS), Indian Institute of Science (IISc) Campus, Bengaluru.
His research areas include Brain-inspired machine learning, chaos and information theory, complexity theories of causality, and consciousness.
He has co-authored 30+ international peer-reviewed journal publications with 1200+ citations, over 60+ national and international conference paper presentations. He has delivered over 100 invited talks at various national and international forums.
He is the co-inventor of 8 US patent applications (2 granted) and 1 Indian patent application.
He is a Senior Member of the IEEE, and an invited member of the Advisory Council of METI: Messaging Extra Terrestrial Intelligence International, USA.