KUSHAL SHAH
Asso. Prof. @ EECS Dept, IISER Bhopal
Coordinator, Data Science & Engineering

Meet : 414, AB-1
Write : kushals [domain: iiserb.ac.in]
Talk : (0755) 2692641


Papers Invited for a Special Issue on
Data Compression and Complexity by the journal, Entropy.



Artificial Intelligence & Biological Evolution

NewsChase : An AI based News App to keep out manipulative fake news based on our Fictometer algorithm.
[Times of India and Dainik Bhaskar]





RESEARCH
    I am interested in a very diverse set of research areas and have worked in Plasma Physics, Dynamical Systems, Bioinformatics and Machine Learning.

    I started my journey into scientific research with a fancy for electromagnetic fields and plasmas. While working on plasma dynamics in Paul traps for my PhD at IIT Madras, I discovered the fascinating domain of nonlinear dynamics and dynamical systems, which took me towards Fermi acceleration during my post-doc at Weizmann Institute of Science (Israel). Our work was, in fact, the first theoretical demonstration of exponential energy growth in Fermi accelerators. And in 2014, we organised the first Fermi Acceleration Workshop [FATB2014] at Imperial College London. For my contributions in these areas, I received the INAE Young Engineer Award 2014.

    One of the long-standing open problems related to the foundations of statistical mechanics is regarding the equilibration of energies in slow-fast Hamiltonian systems. It was traditionally believed that ergodicity is required for equilibration of such systems, but it was later proven that ergodic slow-fast systems have an additional adiabatic invariant which prevents their equilibration. In our PNAS paper, we have now shown that non-ergodicity in the fast subsystem can lead to equilibration of the whole system.

    During my post-doc, I was also introduced to the applications of mathematics and computations in biology through discussions with other students. Later I started exploring this area known as bioinformatics and continue to be fascinated by the diversity and intricacies of biological systems! Specifically, I have worked on the computational prediction of origin of replication in DNA sequences and our prediction for the malaria causing parasite, P. falciparum, has also been experimentally verified [PTI News].

    Through my work in these areas, I have developed an interest in Random Processes and Machine Learning and worked on its applications in Artificial Intelligence, Natural Language Processing and Noise Modeling of Semiconductor Devices.

    Publications [@Google Scholar, @Scopus ]

    Conferences Organised
    Dec 2014     Fermi Acceleration Workshop [Imperial College London]
    Jan 2020     The Fourth Paradigm : From Data to Discovery [IISER Bhopal]

TEACHING
EDUCATION
LEISURE