Prasanth B. Nair

Prasanth B. Nair

University of Toronto

H-index: 38

North America-Canada

About Prasanth B. Nair

Prasanth B. Nair, With an exceptional h-index of 38 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Computational modeling of deterministic and stochastic systems, optimization methods, generalized function approximation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs

State estimation of a physical system with unknown governing equations

Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov–Galerkin Method

System and method for automatically extracting and visualizing topics and information from large unstructured text database

Sparse random Fourier features based interatomic potentials for high entropy alloys

A priori error analysis of shape derivatives of linear functionals in structural topology optimization

Machine learned interatomic potentials using random features

Influence of niobium and silver on mechanical properties and shape memory behavior of Cu-12Al-4Mn alloys

Prasanth B. Nair Information

University

Position

Institute for Aerospace Studies

Citations(all)

5684

Citations(since 2020)

1737

Cited By

4765

hIndex(all)

38

hIndex(since 2020)

21

i10Index(all)

69

i10Index(since 2020)

39

Email

University Profile Page

University of Toronto

Google Scholar

View Google Scholar Profile

Prasanth B. Nair Skills & Research Interests

Computational modeling of deterministic and stochastic systems

optimization methods

generalized function approximation

Top articles of Prasanth B. Nair

Title

Journal

Author(s)

Publication Date

Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs

Advances in Neural Information Processing Systems

Kevin Course

Prasanth Nair

2024/2/13

State estimation of a physical system with unknown governing equations

Nature

Kevin Course

Prasanth B Nair

2023/10/12

Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov–Galerkin Method

SIAM/ASA Journal on Uncertainty Quantification

Christophe Audouze

Aaron Klein

Adrian Butscher

Nigel Morris

Prasanth Nair

...

2023/9/30

System and method for automatically extracting and visualizing topics and information from large unstructured text database

2023/8/17

Sparse random Fourier features based interatomic potentials for high entropy alloys

arXiv preprint arXiv:2302.06844

Gurjot Dhaliwal

Abu Anand

Prasanth B Nair

Chandra Veer Singh

2023/2/14

A priori error analysis of shape derivatives of linear functionals in structural topology optimization

Computer Methods in Applied Mechanics and Engineering

Aaron Klein

Prasanth B Nair

Masayuki Yano

2022/5/15

Machine learned interatomic potentials using random features

npj Computational Materials

Gurjot Dhaliwal

Prasanth B Nair

Chandra Veer Singh

2022/1/17

Influence of niobium and silver on mechanical properties and shape memory behavior of Cu-12Al-4Mn alloys

Journal of Alloys and Compounds

Abhishek Pandey

Shahadat Hussain

Prasanth Nair

Rupa Dasgupta

2020/9/25

Quadruply stochastic gaussian processes

arXiv preprint arXiv:2006.03015

Trefor W Evans

Prasanth B Nair

2020/6/4

Weak form generalized hamiltonian learning

Advances in Neural Information Processing Systems

Kevin Course

Trefor Evans

Prasanth Nair

2020

See List of Professors in Prasanth B. Nair University(University of Toronto)