Prof. Ravins Dohare is a prominent Indian academic who serves as a Full Professor at the Centre for Interdisciplinary Research in Basic Sciences (CIRBSC)(https://jmi.ac.in/Centre-For-Interdisciplinary-Research-In-Basic-Sciences/Faculty-Members/1638/Ravins) at Jamia Millia Islamia, New Delhi, India. Holding a Ph.D. in Network Sciences (Broader subject of Mathematics and Computer Sc.), his work bridges the gap between advanced mathematical modelling and biological systems.
He did his Master's in Mathematics from the Indian Institute of Technology, Delhi (IIT Delhi).
Professor Dohare's research is deeply interdisciplinary, focusing heavily on: Network Science & Graph Theory: Developing computational algorithms to track community detection patterns in complex, real-world networks.
Bioinformatics & Disease Tracking: Applying graph theory and algorithms to analyze gene expression data and co-expression networks to identify key hub genes associated with disorders, viral infectious diseases, and different types of cancers.
Mathematical Modelling: Formulating mathematical structures to decode intricate computational biology challenges.
Prof. Ravins Dohare is a prominent Indian academic who serves as a Full Professor at the Centre for Interdisciplinary Research in Basic Sciences (CIRBSC)(https://jmi.ac.in/Centre-For-Interdisciplinary-Research-In-Basic-Sciences/Faculty-Members/1638/Ravins) at Jamia Millia Islamia, New Delhi, India. Holding a Ph.D. in Network Sciences (Broader subject of Mathematics and Computer Sc.), his work bridges the gap between advanced mathematical modelling and biological systems.
He did his Master's in Mathematics from the Indian Institute of Technology, Delhi (IIT Delhi).
Professor Dohare's research is deeply interdisciplinary, focusing heavily on: Network Science & Graph Theory: Developing computational algorithms to track community detection patterns in complex, real-world networks.
Bioinformatics & Disease Tracking: Applying graph theory and algorithms to analyze gene expression data and co-expression networks to identify key hub genes associated with disorders, viral infectious diseases, and different types of cancers.
Mathematical Modelling: Formulating mathematical structures to decode intricate computational biology challenges.