Jagmohan Chauhan

Jagmohan Chauhan

University of Southampton

H-index: 17

Europe-United Kingdom

About Jagmohan Chauhan

Jagmohan Chauhan, With an exceptional h-index of 17 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Southampton, specializes in the field of Mobile Systems, Mobile Health, Usable Security, On Device Machine Learning, Applied Machine Learning.

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

Who is Snoring? Snore based User Recognition

Lifelearner: Hardware-aware meta continual learning system for embedded computing platforms

Conditional neural ODE processes for individual disease progression forecasting: a case study on COVID-19

Tinytrain: Deep neural network training at the extreme edge

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

A summary of the ComParE COVID-19 challenges

Enabling On-Device Smartphone GPU based Training: Lessons Learned

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Jagmohan Chauhan Information

University

Position

Assistant Professor ECS

Citations(all)

1543

Citations(since 2020)

1400

Cited By

367

hIndex(all)

17

hIndex(since 2020)

16

i10Index(all)

21

i10Index(since 2020)

20

Email

University Profile Page

University of Southampton

Google Scholar

View Google Scholar Profile

Jagmohan Chauhan Skills & Research Interests

Mobile Systems

Mobile Health

Usable Security

On Device Machine Learning

Applied Machine Learning

Top articles of Jagmohan Chauhan

Title

Journal

Author(s)

Publication Date

Who is Snoring? Snore based User Recognition

arXiv preprint arXiv:2301.12209

Shenghao Li

Jagmohan Chauhan

2023/1/28

Lifelearner: Hardware-aware meta continual learning system for embedded computing platforms

arXiv preprint arXiv:2311.11420

Young D Kwon

Jagmohan Chauhan

Hong Jia

Stylianos I Venieris

Cecilia Mascolo

2023/11/19

Conditional neural ODE processes for individual disease progression forecasting: a case study on COVID-19

Ting Dang

Jing Han

Tong Xia

Erika Bondareva

Chloë Siegele-Brown

...

2023/8/6

Tinytrain: Deep neural network training at the extreme edge

arXiv preprint arXiv:2307.09988

Young D Kwon

Rui Li

Stylianos I Venieris

Jagmohan Chauhan

Nicholas D Lane

...

2023/7/19

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Journal of Medical Internet Research

Jing Han

Marco Montagna

Andreas Grammenos

Tong Xia

Erika Bondareva

...

2023/5/9

A summary of the ComParE COVID-19 challenges

Frontiers in Digital Health

Harry Coppock

Alican Akman

Christian Bergler

Maurice Gerczuk

Chloë Brown

...

2023/3/8

Enabling On-Device Smartphone GPU based Training: Lessons Learned

Anish Das

Young D Kwon

Jagmohan Chauhan

Cecilia Mascolo

2022/3

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

NPJ digital medicine

Jing Han

Tong Xia

Dimitris Spathis

Erika Bondareva

Chloë Brown

...

2022/1/28

PassWalk: spatial authentication leveraging lateral shift and gaze on mobile headsets

Abhishek Kumar

Lik-Hang Lee

Jagmohan Chauhan

Xiang Su

Mohammad A Hoque

...

2022/10/10

THE PAM INTERVENTION TO SUPPORT MEDICATION ADHERENCE IN PRIMARY CARE. PROTOCOL AND BASELINE DATA FROM THE RCT

Aikaterini Kassavou

Venus Mirzaei

Sonia Shpendi

James Brimicombe

Jagmohan Chauhan

...

2022

Exploring On-Device Learning Using Few Shots for Audio Classification

Jagmohan Chauhan

Young D Kwon

Cecilia Mascolo

2022/8/29

Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation

Journal of medical Internet research

Ting Dang

Jing Han

Tong Xia

Dimitris Spathis

Erika Bondareva

...

2022/6/21

Yono: Modeling multiple heterogeneous neural networks on microcontrollers

Young D Kwon

Jagmohan Chauhan

Cecilia Mascolo

2022/5/4

Sonicasl: An acoustic-based sign language gesture recognizer using earphones

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Yincheng Jin

Yang Gao

Yanjun Zhu

Wei Wang

Jiyang Li

...

2021/6/24

The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms

Lorena Qendro

Jagmohan Chauhan

Alberto Gil CP Ramos

Cecilia Mascolo

2021/12/14

FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications

arXiv preprint arXiv:2106.07268

Young D Kwon

Jagmohan Chauhan

Cecilia Mascolo

2021/6/14

Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data

Jing Han

Chloë Brown

Jagmohan Chauhan

Andreas Grammenos

Apinan Hasthanasombat

...

2021/6/6

The feasibility of the PAM intervention to support treatment-adherence in people with hypertension in primary care: a randomised clinical controlled trial

Scientific Reports

Aikaterini Kassavou

Venus Mirzaei

Sonia Shpendi

James Brimicombe

Jagmohan Chauhan

...

2021/4/26

THE PROGRAMME ON ADHERENCE TO MEDICATION (PAM) IN PRIMARY CARE. A POST-STUDY EVALUATION OF THE MECHANISMS OF BEHAVIOUR CHANGE

Aikaterini Kassavou

Venus Mirzaei

Sonia Shpendi

James Brimicombe

Jagmohan Chauhan

...

2021

Authenticating a user

2021/3/30

See List of Professors in Jagmohan Chauhan University(University of Southampton)

Co-Authors

H-index: 109
Björn Schuller

Björn Schuller

Imperial College London

H-index: 84
Anind K. Dey

Anind K. Dey

University of Washington

H-index: 82
Stephen Sutton

Stephen Sutton

University of Cambridge

H-index: 76
Cecilia Mascolo

Cecilia Mascolo

University of Cambridge

H-index: 72
Richard McManus

Richard McManus

University of Oxford

H-index: 54
Dr Archan MISRA _

Dr Archan MISRA _

Singapore Management University

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