• Prof. Ambika G
• IISER Pune

• Prof. Ananthakrishna G
• IISc Bangalore

• Prof. Apte A
• ICTS, TIFR Bangalore

• Prof. Balakrishnan V
• IIT Madras

• Dr. Balasubramanian K
• Goldman Sachs, Bangalore

• Prof. Bose I
• Bose Institute

• Prof. Carroll T L
• Naval Research Lab, USA

• Prof. Chakravarthy Srinivas
• IIT Madras

• Prof. Chaudhuri S
• IISc Bangalore

• Prof. Dana S K
• IICB

• Prof. Dhar D
• TIFR, Bombay

• Prof. Dutta P S
• IIT Ropar

• Prof. Govindarajan R
• TIFR, Hydrabad

• Prof. Guttal V
• IISc Bangalore

• Prof. Harkrishnan K P
• Cochin College

• Prof. Jagadish Kumar
• Utkal University

• Prof. Jensen M
• Niels Bohr Institute, University of Copenhagen

• Prof. Krishna S
• NCBS Bangaore

• Prof. Kurths J
• Potsdam institute for climatic impact research, Germany

• Prof. Lakshmanan M
• Bharathidasan University

• Prof. Menon G
• IMSc, Chennai

• Prof. Murali K
• Anna University

• Dr. Nair V
• IIT Bombay

• Prof. Namboori K
• Amrita University

• Prof. Panigrahi P K
• IISER Kolkata

• Prof. Perlekar P
• TIFR, Hydrabad

• Prof. Pushpavanam S
• IIT Madras

• Prof. Ram Ramaswamy
• JNU Delhi

• Prof. Rangarajan G
• IISc Bangalore

• Prof. Ray S S
• ICTS, TIFR Bangalore

• Prof. Ritupan Sarmah
• Tezpur University

• Prof. Santhanam M S
• IISER Pune

• Prof. Sen P
• Univeristy of Calcutta

• Prof. Senthilkumar V
• IISER Thiruvananthapuram

• Prof. Sinha S
• IMSc, Chennai

• Prof. Somdatta Sinha
• IISER Mohali

• Prof. Sujith R I
• IIT Madras

• Prof. Surovyatkina E
• Potsdam institute for climatic impact research, Germany

• Prof. Tadic B
• Jozef Stefan Institute, Slovenia

• Prof. Verma M K
• IIT Kanpur

• Dr. Yadav A C
• Cenral Univ of Haryana

• Prof. Menon G
• IMSc, Chennai

Recent developments strongly indicate that most of the real world processes and systems have an underlying nonlinearity. However studies related to their dynamics most often rely on a sequence of observations or data of a few variables. From such time series, we have to detect some nontrivial structures and characterize them for a proper understanding of the underlying dynamics. Therefore time series analysis and modeling are basic to the understanding of many real world complex systems. Studies along these lines help to identify patterns and possible precursors.

The session aims to create awareness on nonlinear time series analysis related to fundamental analysis as well as real-life applications, to give hands-on training on implementation of various techniques and to experience handling of various data sets especially from astrophysics, earth and climate science, physiology, econometrics, finance etc. There will be 2 or 3 lectures followed by hand-on lab sessions where participants will be trained on computational measures like correlation dimension, entropy, multi fractal measures, recurrence plots and networks.