Jagmohan Chauhan

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Cecilia MascoloUniversity of CambridgeVerifisert e-postadresse på cl.cam.ac.uk
Aruna SeneviratneProfessor of Telecommunications, University of New South WalesVerifisert e-postadresse på unsw.edu.au
Young D. KwonSamsung AI Center-Cambridge; University of CambridgeVerifisert e-postadresse på cam.ac.uk
Suranga SeneviratneUniversity of SydneyVerifisert e-postadresse på sydney.edu.au
Dr Archan MISRA _Vice Provost (Research) & Professor, School of Computing and Information SystemsVerifisert e-postadresse på smu.edu.sg
Youngki LeeSeoul National UniversityVerifisert e-postadresse på snu.ac.kr
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerifisert e-postadresse på tum.de
Stephen SuttonProfessor of Behavioural Science, University of CambridgeVerifisert e-postadresse på medschl.cam.ac.uk
Zhanpeng JinXinshi Endowed Professor, South China University of TechnologyVerifisert e-postadresse på scut.edu.cn
Yang GaoEast China Normal UniversityVerifisert e-postadresse på cs.ecnu.edu.cn
Stylianos I. VenierisSenior Research Scientist @ Samsung AI, Cambridge, UKVerifisert e-postadresse på samsung.com
Pan HuiChair Professor, Nokia Chair in Data Science, FREng & IEEE Fellow (HKUST & University of Helsinki)Verifisert e-postadresse på cse.ust.hk
Diego PerinoMetaVerifisert e-postadresse på meta.com
Nicholas LaneUniversity of Cambridge and Flower LabsVerifisert e-postadresse på cam.ac.uk
Rui LiSamsung AI Center, CambridgeVerifisert e-postadresse på samsung.com
Anind K. DeyUniversity of WashingtonVerifisert e-postadresse på uw.edu
Geoff V MerrettProfessor of Electronic and Software Systems, University of SouthamptonVerifisert e-postadresse på ecs.soton.ac.uk
Lik-Hang LeeAssistant Professor, The Hong Kong Polytechnic University (Previously at KAIST, & Uni. Oulu)Verifisert e-postadresse på polyu.edu.hk
Sasu TarkomaProfessor of Computer Science, University of HelsinkiVerifisert e-postadresse på helsinki.fi
Jonathon HareProfessor of Machine Learning and Computer Vision, University of Southampton, United KingdomVerifisert e-postadresse på ecs.soton.ac.uk

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Jagmohan Chauhan

Assistant Professor, ECS, University of Southampton

Verifisert e-postadresse på soton.ac.uk - Startside

Mobile Systems Mobile Health Usable Security On Device Machine Learning Applied Machine Learning


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Exploring automatic diagnosis of COVID-19 from crowdsourced respiratory sound data C Brown, J Chauhan, A Grammenos, J Han, A Hasthanasombat, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	545	2020
BreathPrint: Breathing acoustics-based user authentication J Chauhan, Y Hu, S Seneviratne, A Misra, A Seneviratne, Y Lee Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017	215	2017
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ... INTERSPEECH, 2021	152	2021
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data J Han, C Brown, J Chauhan, A Grammenos, A Hasthanasombat, ... IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2021	115	2021
Breathing-based authentication on resource-constrained IoT devices using recurrent neural networks J Chauhan, S Seneviratne, Y Hu, A Misra, A Seneviratne, Y Lee Computer 51 (5), 60-67, 2018	103	2018
Sounds of COVID-19: exploring realistic performance of audio-based digital testing J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, T Dang, ... NPJ digital medicine 5 (1), 16, 2022	102	2022
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening CM Tong Xia, Dimitris Spathis, Chloe Brown, J Chauhan, Andreas Grammenos ... NeurIPS, 2021	95*	2021
Decentralized IoT edge nanoservice architecture for future gadget-free computing E Harjula, P Karhula, J Islam, T Leppänen, A Manzoor, M Liyanage, ... IEEE Access 7, 119856-119872, 2019	58	2019
Performance characterization of deep learning models for breathing-based authentication on resource-constrained devices J Chauhan, J Rajasegaran, S Seneviratne, A Misra, A Seneviratne, Y Lee Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018	58	2018
Voice in ear: Spoofing-resistant and passphrase-independent body sound authentication Y Gao, Y Jin, J Chauhan, S Choi, J Li, Z Jin Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021	56	2021
Performance evaluation of Yahoo! S4: A first look J Chauhan, SA Chowdhury, D Makaroff 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and …, 2012	52	2012
SonicASL: An acoustic-based sign language gesture recognizer using earphones Y Jin, Y Gao, Y Zhu, W Wang, J Li, S Choi, Z Li, J Chauhan, AK Dey, Z Jin Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021	46	2021
Gesture-based Continuous Authentication for Wearable Devices: The Smart Glasses Use Case J Chauhan, HJ Asghar, MA Kaafar, A Mahanti Applied Cryptography and Network Security 9696, 648-665, 2016	44	2016
Contauth: Continual learning framework for behavioral-based user authentication J Chauhan, YD Kwon, P Hui, C Mascolo Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020	42	2020
Characterization of early smartwatch apps J Chauhan, S Seneviratne, MA Kaafar, A Mahanti, A Seneviratne 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016	42	2016
Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation T Dang, J Han, T Xia, D Spathis, E Bondareva, C Siegele-Brown, ... Journal of medical Internet research 24 (6), e37004, 2022	34	2022
Exploring system performance of continual learning for mobile and embedded sensing applications YD Kwon, J Chauhan, A Kumar, P Hui, C Mascolo ACM/IEEE Symposium on Edge Computing (SEC), 2021	34	2021
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge YD Kwon, R Li, S Venieris, J Chauhan, ND Lane, C Mascolo Forty-first International Conference on Machine Learning, 2024	20*	2024
Enabling On-Device Smartphone GPU based Training: Lessons Learned A Das, YD Kwon, J Chauhan, C Mascolo PerFail@PerCom, 2022	16	2022
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications YD Kwon, J Chauhan, C Mascolo INTERSPEECH, 2021	16	2021

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