Indranil Pan

Indranil Pan

Imperial College London

H-index: 29

Europe-United Kingdom

About Indranil Pan

Indranil Pan, With an exceptional h-index of 29 and a recent h-index of 25 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Computational Intelligence, Control Systems, Fractional Calculus, Signal Processing, Energy.

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

Complex fault system revealed by 3-D seismic reflection data with deep learning and fault network analysis

Complex fault growth controls 3-D rift geometry: Insights from deep learning of seismic reflection data from the entire northern North Sea rift

Decarbonisation of the Urban Landscape: Integration and Optimization of Energy Systems

Rule-based Evolutionary Bayesian Learning

Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities

Complex fault system revealed from 3-D seismic reflection data with deep learning and fault network analysis

Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation

Rule-based Bayesian regression

Indranil Pan Information

University

Position

___

Citations(all)

4720

Citations(since 2020)

2943

Cited By

2996

hIndex(all)

29

hIndex(since 2020)

25

i10Index(all)

60

i10Index(since 2020)

43

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Indranil Pan Skills & Research Interests

Computational Intelligence

Control Systems

Fractional Calculus

Signal Processing

Energy

Top articles of Indranil Pan

Title

Journal

Author(s)

Publication Date

Complex fault system revealed by 3-D seismic reflection data with deep learning and fault network analysis

Solid Earth

Thilo Wrona

Indranil Pan

Rebecca E Bell

Christopher A-L Jackson

Robert L Gawthorpe

...

2023/11/21

Complex fault growth controls 3-D rift geometry: Insights from deep learning of seismic reflection data from the entire northern North Sea rift

EGU General Assembly Conference Abstracts

Thilo Wrona

Indranil Pan

Rebecca Bell

Christopher Jackson

Robert Gawthorpe

...

2022/5

Decarbonisation of the Urban Landscape: Integration and Optimization of Energy Systems

Salvador Acha

Edward O’Dwyer

Indranil Pan

Nilay Shah

2022/4/22

Rule-based Evolutionary Bayesian Learning

arXiv preprint arXiv:2202.13778

Themistoklis Botsas

Lachlan R Mason

Omar K Matar

Indranil Pan

2022/2/28

Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities

Indranil Pan

Lachlan R Mason

Omar K Matar

2022/2/15

Complex fault system revealed from 3-D seismic reflection data with deep learning and fault network analysis

EGUsphere

Thilo Wrona

Indranil Pan

Rebecca Bell

Christopher A-L Jackson

Robert Gawthorpe

...

2022/11/28

Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation

Data-Centric Engineering

Themistoklis Botsas

Indranil Pan

Lachlan R Mason

Omar K Matar

2022/1

Rule-based Bayesian regression

Statistics and Computing

Themistoklis Botsas

Lachlan R Mason

Indranil Pan

2022/6

Chloroplasts alter their morphology and accumulate at the pathogen interface during infection by Phytophthora infestans

The Plant Journal

Zachary Savage

Cian Duggan

Alexia Toufexi

Pooja Pandey

Yuxi Liang

...

2021/9

3D seismic interpretation with deep learning: A brief introduction

The Leading Edge

Thilo Wrona

Indranil Pan

Rebecca E Bell

Robert L Gawthorpe

Haakon Fossen

...

2021/7

Integrated platform for simulations and machine learning

APS Division of Fluid Dynamics Meeting Abstracts

Assen Batchvarov

Morgan Kerhouant

Lachlan Mason

Indranil Pan

Richard Craster

...

2021

Can machine learning improve carbon storage? Synergies of deep learning, uncertainty quantification and intelligent process control

Thilo Wrona

Indranil Pan

2021/12/2

Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation

arXiv preprint arXiv:2007.12167

R Maulik

T Botsas

N Ramachandra

LR Mason

I Pan

2020/7

Data-driven analysis and prediction of multi-component polymer precipitation

APS Division of Fluid Dynamics Meeting Abstracts

Pavan Inguva

Lachlan Mason

Indranil Pan

Miselle Hengardi

Omar Matar

2020

Numerical simulation, clustering, and prediction of multicomponent polymer precipitation

Data-Centric Engineering

Pavan Inguva

Lachlan R Mason

Indranil Pan

Miselle Hengardi

Omar K Matar

2020/1

Data-driven surrogate modeling and benchmarking for process equipment

Data-Centric Engineering

Gabriel FN Gonçalves

Assen Batchvarov

Yuyi Liu

Yuxin Liu

Lachlan R Mason

...

2020/1

Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems

Sustainable Cities and Society

Edward O’Dwyer

Indranil Pan

Richard Charlesworth

Sarah Butler

Nilay Shah

2020/11/1

Deep learning of geological structures in seismic reflection data

Geophysics (submitted), doi

Thilo Wrona

Indranil Pan

Rebecca E Bell

Robert L Gawthorpe

Haakon Fossen

...

2020

Principal component analysis of seismic facies

Thilo Wrona

Indranil Pan

Rebecca E Bell

Haakon Fossen

Robert Leslie Gawthorpe

2020/8/5

See List of Professors in Indranil Pan University(Imperial College London)