30/4/2017
Indian National Science Academy Awards to Two ex-Technion Postdoctoral Fellows in Probability.

Two young ex-Technion postdoctoral fellows in Probability, Professors Anup Biswas and Yogeshwaran Dhandapani, have been
awarded prestigious Young Scientist Awards by the Indian National Science Academy, in the category of Mathematical Sciences.
 
The INSA Young Scientists Awards were established in 1974, with the aim of distinguishing young Indian scientists of
extraordinary promise who have made notable research contributions in Science and Technology. They are considered
to be the highest recognition in of promise, creativity and excellence in a young scientist, and are made annually to those
distinguished for these attributes as evidenced by their research work carried out in India. There were 30 such awards
for 2017, in all areas of Science and Technology, only two of which were given in Mathematical Sciences category.
 
Anup Biswas is currently an Assistant Professor in the Department of Mathematics, Indian Institute of Science
Education and Research, Pune, and was a Postdoctoral Fellow, working with Prof. Rami Atar and Prof. Haya Kaspi , during 2011-2013. The
citation for his award noted that it was:
 
For his study of the Dirichlet problem for stable-like operators and related probabilistic representations of solutions of
stochastic differential equations with jumps. He has obtained very interesting results on the large deviation properties of
the invariant densities of small noise diffusions
 
Yogeshwaran Dhandapani is currently an Assistant Professor in the Statistics and Mathematics Unit, of the Indian
Statistical Institute, Bangalore, and was a Postdoctoral Fellow, working with Prof. Robert Adler, during 2011-2014. The
citation for his award noted that it was:
 
For his significant work on asymptotic behavior of random complexes, topology of dynamic Erdös-Renyi clique
complexes and asymptotics for geometric functionals of general point processes. He has done interesting work on
topological methods in the study of random point processes.