Srinivasan Keshav

Srinivasan Keshav

University of Cambridge

H-index: 63

Europe-United Kingdom

About Srinivasan Keshav

Srinivasan Keshav, With an exceptional h-index of 63 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Computer networking, Energy systems.

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

From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model

SPAGHETTI: a synthetic data generator for post-Covid electric vehicle usage

Heatalyzer: A Tool for Evaluating Indoor Comfort in Buildings during Extreme Heat Events

Mitigating risk of credit non-delivery in nature-based climate solutions by optimally anticipating carbon release

A Trunk Diameter Estimation Mobile App for the Masses: Extended version

An App for Tree Trunk Diameter Estimation from Coarse Optical Depth Maps

Global, robust and comparable digital carbon assets

Using EV charging control to provide building load flexibility

Srinivasan Keshav Information

University

Position

Professor of Computer Science

Citations(all)

20552

Citations(since 2020)

3389

Cited By

18505

hIndex(all)

63

hIndex(since 2020)

27

i10Index(all)

169

i10Index(since 2020)

72

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Srinivasan Keshav Skills & Research Interests

Computer networking

Energy systems

Top articles of Srinivasan Keshav

Title

Journal

Author(s)

Publication Date

From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Model

arXiv preprint arXiv:2403.02922

Yihang She

Clement Atzberger

Andrew Blake

Srinivasan Keshav

2024/3/5

SPAGHETTI: a synthetic data generator for post-Covid electric vehicle usage

Energy Informatics

Anaïs Berkes

Srinivasan Keshav

2024/12

Heatalyzer: A Tool for Evaluating Indoor Comfort in Buildings during Extreme Heat Events

Livia Capol

Srinivasan Keshav

Zoltan Nagy

2024/2/20

Mitigating risk of credit non-delivery in nature-based climate solutions by optimally anticipating carbon release

E-Ping Rau

James Gross

David Coomes

Thomas Swinfield

Anil Madhavapeddy

...

2024/4/3

A Trunk Diameter Estimation Mobile App for the Masses: Extended version

Zhengpeng Feng

Mingyue Xie

Amelia Holcomb

Srinivasan Keshav

2024/1/9

An App for Tree Trunk Diameter Estimation from Coarse Optical Depth Maps

Available at SSRN 4786687

Zhengpeng Feng

Mingyue Xie

Amelia Holcomb

Srinivasan Keshav

2024/4/3

Global, robust and comparable digital carbon assets

arXiv preprint arXiv:2403.14581

Sadiq Jaffer

Michael Dales

Patrick Ferris

Thomas Swinfield

Derek Sorensen

...

2024/3/21

Using EV charging control to provide building load flexibility

Energy Informatics

Harsimrat Singh Bhundar

Lukasz Golab

Srinivasan Keshav

2023/3/14

Computational tools for assessing forest recovery with GEDI shots and forest change maps

Science of Remote Sensing

Amelia Holcomb

Simon V Mathis

David A Coomes

Srinivasan Keshav

2023/12/1

A Case for Planetary Computing

arXiv preprint arXiv:2303.04501

Amelia Holcomb

Michael Dales

Patrick Ferris

Sadiq Jaffer

Thomas Swinfield

...

2023/3/8

Realizing the social value of impermanent carbon credits

Andrew Balmford

Srinivasan Keshav

Frank Venmans

David Coomes

Ben Groom

...

2023/11

Robust single-image tree diameter estimation with mobile phones

Remote Sensing

Amelia Holcomb

Linzhe Tong

Srinivasan Keshav

2023/1/29

Realising the social value of impermanent carbon credits

Thomas Swinfield

Andrew Balmford

David Coomes

Anil Madhavapeddy

Srinivasan Keshav

2023/9/12

PACT Tropical Moist Forest Accreditation Methodology v2. 0

Andrew Balmford

David Coomes

Michael Dales

Patrick Ferris

James Hartup

...

2023/12/14

Credit credibility threatens forests

Science

Andrew Balmford

Pedro HS Brancalion

David Coomes

Ben Filewod

Ben Groom

...

2023/5/5

Automated soil moisture effects sensor with improved RFID system

2023/12/12

Beobench: a toolkit for unified access to building simulations for reinforcement learning

Arduin Findeis

Fiodar Kazhamiaka

Scott Jeen

Srinivasan Keshav

2022/6/28

Recommendations for designing hybrid conferences

ACM SIGCOMM Computer Communication Review

Vaibhav Bajpai

Oliver Hohlfeld

Jon Crowcroft

Srinivasan Keshav

Henning Schulzrinne

...

2022/6/20

A power-efficient self-calibrating smart lighting system

Energy and Buildings

Yerbol Aussat

Ansis Rosmanis

Srinivasan Keshav

2022/3/15

How Manufacturers Can Easily Improve Working Range of Passive RFIDs

Ju Wang

Liqiong Chang

Omid Abari

Srinivasan Keshav

2022/9/20

See List of Professors in Srinivasan Keshav University(University of Cambridge)

Co-Authors

H-index: 161
Scott Shenker

Scott Shenker

University of California, Berkeley

H-index: 92
David Tse

David Tse

Stanford University

H-index: 46
Matthias Grossglauser

Matthias Grossglauser

École Polytechnique Fédérale de Lausanne

H-index: 45
Catherine Rosenberg

Catherine Rosenberg

University of Waterloo

H-index: 31
Tim Brecht

Tim Brecht

University of Waterloo

H-index: 24
Omid Abari

Omid Abari

University of California, Los Angeles

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