V. Balaji

V. Balaji

Princeton University

H-index: 40

North America-United States

About V. Balaji

V. Balaji, With an exceptional h-index of 40 and a recent h-index of 30 (since 2020), a distinguished researcher at Princeton University, specializes in the field of climate science, computational science, machine learning.

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

Machine learning for climate physics and simulations

The computational and energy cost of simulation and storage for climate science: lessons from CMIP6

Novel Homomorphic Encryption for Mitigating Impersonation Attack in Fog Computing.

Learning Machine Learning with Lorenz-96

Securing health care data through blockchain enabled collaborative machine learning

Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model

CPMIP: Computational evaluation of the new era of complex Earth System Models. Multi-model results from CMIP6 and challenges for the exascale computing.

Histroy Matching for the tuning of coupled models: experiments on the Lorenz 96 model

V. Balaji Information

University

Position

___

Citations(all)

9884

Citations(since 2020)

5211

Cited By

6491

hIndex(all)

40

hIndex(since 2020)

30

i10Index(all)

65

i10Index(since 2020)

47

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

V. Balaji Skills & Research Interests

climate science

computational science

machine learning

Top articles of V. Balaji

Title

Journal

Author(s)

Publication Date

Machine learning for climate physics and simulations

arXiv preprint arXiv:2404.13227

Ching-Yao Lai

Pedram Hassanzadeh

Aditi Sheshadri

Maike Sonnewald

Raffaele Ferrari

...

2024/4/20

The computational and energy cost of simulation and storage for climate science: lessons from CMIP6

Geoscientific Model Development Discussions

Mario C Acosta

Sergi Palomas

Stella V Paronuzzi Ticco

Jean-Claude Andre

Joachim Biercamp

...

2023/10/23

Novel Homomorphic Encryption for Mitigating Impersonation Attack in Fog Computing.

Intelligent Automation & Soft Computing

V Balaji

P Selvaraj

2023/2/1

Learning Machine Learning with Lorenz-96

Authorea Preprints

Dhruv Balwada

Ryan Abernathey

Shantanu Acharya

Alistair Adcroft

Judith Brener

...

2023/12/27

Securing health care data through blockchain enabled collaborative machine learning

Soft Computing

CU Om Kumar

Sudhakaran Gajendran

V Balaji

A Nhaveen

S Sai Balakrishnan

2023/7

Semi‐Automatic Tuning of Coupled Climate Models With Multiple Intrinsic Timescales: Lessons Learned From the Lorenz96 Model

Journal of Advances in Modeling Earth Systems

Redouane Lguensat

Julie Deshayes

Homer Durand

Venkatramani Balaji

2023/5

CPMIP: Computational evaluation of the new era of complex Earth System Models. Multi-model results from CMIP6 and challenges for the exascale computing.

EGU General Assembly Conference Abstracts

Mario Acosta

Venkatramani Balaji

Sergi Palomas

Stella Paronuzzi

2022/5

Histroy Matching for the tuning of coupled models: experiments on the Lorenz 96 model

EGU General Assembly Conference Abstracts

Redouane Lguensat

Julie Deshayes

Venkatramani Balaji

2022/5

Are general circulation models obsolete?

Proceedings of the National Academy of Sciences

V Balaji

Fleur Couvreux

Julie Deshayes

Jacques Gautrais

Frédéric Hourdin

...

2022/11/22

Are GCMs obsolete?

arXiv e-prints

V Balaji

Fleur Couvreux

Julie Deshayes

Jacques Gautrais

Frédéric Hourdin

...

2022/4

Explainable artificial intelligence for Bayesian neural networks: Toward trustworthy predictions of ocean dynamics

Journal of Advances in Modeling Earth Systems

Mariana CA Clare

Maike Sonnewald

Redouane Lguensat

Julie Deshayes

Venkatramani Balaji

2022/11

A systematic review on fog computing security algorithms on current iot applications and solutions

V Balaji

P Selvaraj

2022/3/17

India’s riverine nitrogen runoff strongly impacted by monsoon variability

Environmental Science & Technology

Eva Sinha

Anna M Michalak

Venkatramani Balaji

Laure Resplandy

2022/7/27

Gray-Hole Attack Minimization in IoMT with 5G Based D2D Networks.

Comput. Syst. Sci. Eng.

V Balaji

P Selvaraj

2022/1/1

Insight into the Internet of Medical Things (IoMT): Health Services and Applications

Aswathy Ravikumar

V Balaji

2022/5/25

Bridging observations, theory and numerical simulation of the ocean using machine learning

Maike Sonnewald

Redouane Lguensat

Daniel C Jones

Peter D Dueben

Julien Brajard

...

2021/7/22

Linking ENSO to Oceanic Dynamical Regimes using Transparent Machine Learning

AGU Fall Meeting Abstracts

Zouberou Sayibou

Maike Sonnewald

Aparna Radhakrishnan

Andrew Wittenberg

Redouane Lguensat

...

2021/12

Climbing down Charney’s ladder: machine learning and the post-Dennard era of computational climate science

Philosophical Transactions of the Royal Society A

V Balaji

2021/4/5

ESGF in the Cloud: A Community-driven Effort for Scalable Data Access and Analysis

AGU Fall Meeting Abstracts

Kristopher Rand

Aparna Radhakrishnan

Hans Vahlenkamp

Serguei Nikonov

Natalie O'Leary

...

2021/12

History Matching for parameter tuning: the Lorenz96 model as a case study

EGU General Assembly Conference Abstracts

Redouane Lguensat

Julie Deshayes

Venkatramani Balaji

2021/4

See List of Professors in V. Balaji University(Princeton University)

Co-Authors

H-index: 97
Gabriel Vecchi

Gabriel Vecchi

Princeton University

H-index: 48
Alistair Adcroft

Alistair Adcroft

Princeton University

H-index: 26
Bryan Lawrence

Bryan Lawrence

University of Reading

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