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Faculty Dr Nityananda Roy

Dr Nityananda Roy

Assistant Professor

Department of Mathematics

Contact Details

nityananda.r@srmap.edu.in

Office Location

School of Engineering and Sciences Mathematics Faculty Dr Nityananda Roy

Faculty Information

Education

2021
PhD
IIT Madras
India
2015
MSc
IIT Madras
India
2013
BSc
University of Gourbanga
India

Experience

  • April 01, 2022 - June 03, 2022 - Postdoctoral Researcher- IIT Madras, Chennai

Research Interest

  • Physics-informed neural networks for solving partial differential equations.
  • Machine learning based algorithms to solve higher-order PDEs on curved surfaces.

Awards

  • 2018- Erasmus+ - European Union
  • 2015- Qualified CSIR- JRF
  • 2013- Qualified JAM

Memberships

No data available

Publications

Patents

Projects

Scholars

Interests

  • Mathematical modelling and numerical analysis
  • Partial differential equations applied to image procesing problems
  • Physics-informed neural networks

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Education
2013
BSc
University of Gourbanga
India
2015
MSc
IIT Madras
India
2021
PhD
IIT Madras
India
Experience
  • April 01, 2022 - June 03, 2022 - Postdoctoral Researcher- IIT Madras, Chennai
Research Interests
  • Physics-informed neural networks for solving partial differential equations.
  • Machine learning based algorithms to solve higher-order PDEs on curved surfaces.
Awards & Fellowships
  • 2018- Erasmus+ - European Union
  • 2015- Qualified CSIR- JRF
  • 2013- Qualified JAM
Memberships
No data available
Publications
Contact Details

nityananda.r@srmap.edu.in

Scholars
Interests

  • Mathematical modelling and numerical analysis
  • Partial differential equations applied to image procesing problems
  • Physics-informed neural networks

Education
2013
BSc
University of Gourbanga
India
2015
MSc
IIT Madras
India
2021
PhD
IIT Madras
India
Experience
  • April 01, 2022 - June 03, 2022 - Postdoctoral Researcher- IIT Madras, Chennai
Research Interests
  • Physics-informed neural networks for solving partial differential equations.
  • Machine learning based algorithms to solve higher-order PDEs on curved surfaces.
Awards & Fellowships
  • 2018- Erasmus+ - European Union
  • 2015- Qualified CSIR- JRF
  • 2013- Qualified JAM
Memberships
No data available
Publications
Contact Details

nityananda.r@srmap.edu.in

Scholars