Sasidevan V

Assistant Professor

Dr. V. Sasidevan received master's degree in Physics from Cochin University of Science and Technology in 2007 and Ph.D from Tata Institute of Fundamental Research, Mumbai in 2014. He was a post-doctoral fellow at Institute of Mathematical Physics, Chennai during 2013 - 2016 and at Frankfurt Institute for Advanced Studies, Germany during 2016- 2017. His research interests are Statistical physics of complex systems, Interdisciplinary applications of statistical physics in socio-economic systems, Complex networks and Game theory.

  • Epidemic prevalence infor- mation on social networks mediates emergent collective outcomes in voluntary vaccine schemes, PLOS Computational Biology, Vol. 15, 2019

  • When Big Data Fails! Adaptive agents using coarse-grained information have competitive advantage, Physical Review E, American Physical Soceity Vol. 98, 2018

  • Emergence of cooperation as a non-equilibrium transition in noisy spatial games, Frontiers in Physics, Vol. 6, 2018

  • Co-action provides rational basis for the evolutionary success of Pavlovian strategies, Scientific Reports, Nature Vol. 6, 2016

  • Effect of detailed information in the minority game: Optimality of 2-day memory and enhanced efficiency due to random exogenous data, Journal of Statistical Mechanics: Theory and Experiment, IOP and SISSA Vol. 7, 2016

  • Symmetry warrants rational cooperation by co-action in Social Dilemmas, Scientific Reports, Nature Vol. 5, 2015

  • Strategy switches and co-action equilibria in a minority game, Physica A, Elsevier Vol. 402, 2014

  • Continuum percolation of overlapping disks with a distribution of radii having a power- law tail, Physical Review E, American Physical Soceity Vol. 88, 2013

  • Cooperation amongst competing agents in minority game, Physica A, Elsevier Vol. 390, 2011

  • Outstanding contribution in reviewing from Elsevier publications, in the year 2017

  • "Preventing contagious dynamic processes on complex networks" (University Grants Commission- 2018 -2020 , Total outlay Rs.1000000)