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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
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portfolio
Why India’s Most Sophisticated Science Experiment Languishes Between a Rock and a Hard Place
On the controversies surrounding the India-based Neutrino Observatory
The Seven-Decade Transnational Hunt for the Origins of the Kyasanur Forest Disease
On the origins and early research on the Kyasanur Forest Disease. 
Astronomers May Not Like It but Astronomy and Colonialism Have a Shared History
To see the conflict as science vs. religion is simplistic. 
Kanishka Crash, 1985: How Metallurgy Helped Expose a Terrorist Attack
On the terrorist attack that brought down an Air India flight and the subsequent investigation. 
MONTBLEX: India’s First Major Monsoon Experiment
An effort led by researchers at IISc 
The Absence of Evidence for Nipah in Fruit Bats Is Not Evidence of Absence
A detailed analysis of the zoonotic origins of the 2018 Nipah outbreak in Kerala. 
Shrikhande, “Euler’s Spoiler”, Turns 100
An account of the life and career, on the occasion of his one-hundredth birthday, of the mathematician S.S. Shrikhande. 
What an Adivasi Village in Chhattisgarh Can Teach Us About Sustainable Development
‘Appropriate technology’ in Bastar 
Joint Director of Zoological Survey Plagiarised Book, Published False Data
Investigative story on malpractice at ZSI. 
publications
Characterizing the Complexity of Time Series Network Graphs: A Simplicial Approach
Published in 7th International Conference on Physics and Control (PhysCon 2015), Istanbul, Turkey, 2015
This paper arose from my M.Tech. thesis at IIT Madras.
Recommended citation: Rao, Nithyanand, N. Nirmal Thyagu, Neelima Gupte. March 2015. "Characterizing the Complexity of Time Series Network Graphs: A Simplicial Approach." International Scientific Conference on Physics and Control (PhysCon2015), Istanbul, Turkey, 19--22 August. http://lib.physcon.ru/doc?id=e14e67514c80
Characterizing the Complexity of Time Series Networks of Dynamical Systems: A Simplicial Approach
Published in Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
Recommended citation: Chutani, Malayaja, Nithyanand Rao, N. Nirmal Thyagu, and Neelima Gupte. 2020. "Characterizing the Complexity of Time Series Networks of Dynamical Systems: A Simplicial Approach." Chaos. 30(1): 013109. https://doi.org/10.1063/1.5100362