S N Bose National Centre for Basic Sciences, University of Calcutta
2009
MSc
S N Bose National Centre for Basic Sciences, West Bengal University of Technology
2007
BSc
University of Calcutta
Experience
2024 – Till Date | Assistant professor, Department of Physics, SRM University AP, Amaravati, India
2021–2024 | Postdoctoral fellow, Institute of Biochemistry II, Goethe University, Frankfurt, Germany
2018–2021 | Postdoctoral fellow, Max Planck Institute for Polymer Research, Mainz, Germany
2017–2018 | Postdoctoral fellow, Leibniz Institute for Polymer Research, Dresden, Germany
2016–2017 | Postdoctoral fellow, Institute Charles Sadron, CNRS, Strasbourg, France
2014–2016 | Postdoctoral fellow, Institute of Mathematical Sciences, Chennai, India
Research Interest
In my research I use mathematical and computational tools to design a variety of materials—particularly functional biomaterials. The main tools I employ are data-driven machine learning methods, statistical mechanics, simulations, and rational design. I am especially interested in utilizing data-driven machine learning methods because they enable efficient exploration of the chemical space and offer insight by identifying expressive descriptors.
Awards
2013 Travel Grant from International Centre for Theoretical Physics, Italy
2009 NET fellowship from CSIR, India
Memberships
No data available
Publications
Patents
Projects
Scholars
Interests
(Bio)-Material design
Machine Learning
Quantum dynamics
Statistical physics
Thought Leaderships
There are no Thought Leaderships associated with this faculty.
Theory of Catalysis: Quantum mechanics and Machine Learning
Statistical physics of fracture of disordered materials; Complex systems: socio & econophysics
Soft matter and biophysics, rare event sampling
Topological quantum materials, transport/ optical properties of 2D materials
Machine learning-assisted discovery of materials with targeted properties
Quantum transport in magnetic materials for spintronics applications
Materials modelling using ab initio calculations
Chaos
Classical Speed Limits
Dynamic Self-Assembly
Data-driven in-silico biomolecule design
Quantum and classical dynamical systems
Education
2007
BSc
University of Calcutta
2009
MSc
S N Bose National Centre for Basic Sciences, West Bengal University of Technology
2015
PhD
S N Bose National Centre for Basic Sciences, University of Calcutta
Experience
2024 – Till Date | Assistant professor, Department of Physics, SRM University AP, Amaravati, India
2021–2024 | Postdoctoral fellow, Institute of Biochemistry II, Goethe University, Frankfurt, Germany
2018–2021 | Postdoctoral fellow, Max Planck Institute for Polymer Research, Mainz, Germany
2017–2018 | Postdoctoral fellow, Leibniz Institute for Polymer Research, Dresden, Germany
2016–2017 | Postdoctoral fellow, Institute Charles Sadron, CNRS, Strasbourg, France
2014–2016 | Postdoctoral fellow, Institute of Mathematical Sciences, Chennai, India
Research Interests
In my research I use mathematical and computational tools to design a variety of materials—particularly functional biomaterials. The main tools I employ are data-driven machine learning methods, statistical mechanics, simulations, and rational design. I am especially interested in utilizing data-driven machine learning methods because they enable efficient exploration of the chemical space and offer insight by identifying expressive descriptors.
Awards & Fellowships
2013 Travel Grant from International Centre for Theoretical Physics, Italy
S N Bose National Centre for Basic Sciences, West Bengal University of Technology
2015
PhD
S N Bose National Centre for Basic Sciences, University of Calcutta
Experience
2024 – Till Date | Assistant professor, Department of Physics, SRM University AP, Amaravati, India
2021–2024 | Postdoctoral fellow, Institute of Biochemistry II, Goethe University, Frankfurt, Germany
2018–2021 | Postdoctoral fellow, Max Planck Institute for Polymer Research, Mainz, Germany
2017–2018 | Postdoctoral fellow, Leibniz Institute for Polymer Research, Dresden, Germany
2016–2017 | Postdoctoral fellow, Institute Charles Sadron, CNRS, Strasbourg, France
2014–2016 | Postdoctoral fellow, Institute of Mathematical Sciences, Chennai, India
Research Interests
In my research I use mathematical and computational tools to design a variety of materials—particularly functional biomaterials. The main tools I employ are data-driven machine learning methods, statistical mechanics, simulations, and rational design. I am especially interested in utilizing data-driven machine learning methods because they enable efficient exploration of the chemical space and offer insight by identifying expressive descriptors.
Awards & Fellowships
2013 Travel Grant from International Centre for Theoretical Physics, Italy
