Akhil Mathur

According to our database, Akhil Mathur authored at least 80 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Balancing Continual Learning and Fine-tuning for Human Activity Recognition.

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo

CoRR, 2024

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking.

Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Kaizen: Practical self-supervised continual learning with continual fine-tuning.

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows.

Wiebke Toussaint Hutiri, Aaron Yi Ding, Fahim Kawsar, Akhil Mathur

ACM Trans. Softw. Eng. Methodol., November, 2023

SensiX++: Bringing MLOps and Multi-tenant Model Serving to Sensory Edge Devices.

Chulhong Min, Akhil Mathur, Utku Günay Acer, Alessandro Montanari, Fahim Kawsar

ACM Trans. Embed. Comput. Syst., November, 2023

SensiX: A System for Best-Effort Inference of Machine Learning Models in Multi-Device Environments.

Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar

IEEE Trans. Mob. Comput., September, 2023

A First Look into the Carbon Footprint of Federated Learning.

Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane

J. Mach. Learn. Res., 2023

Latent Masking for Multimodal Self-supervised Learning in Health Timeseries.

Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur

CoRR, 2023

Practical self-supervised continual learning with continual fine-tuning.

Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

CoRR, 2023

Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach.

Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023

2022

FRuDA: Framework for Distributed Adversarial Domain Adaptation.

Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane

IEEE Trans. Parallel Distributed Syst., 2022

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition.

Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

FLAME: Federated Learning across Multi-device Environments.

Hyunsung Cho, Akhil Mathur, Fahim Kawsar

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Centaur: Federated Learning for Constrained Edge Devices.

Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur

CoRR, 2022

Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering.

Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur

Proceedings of the International Conference on Machine Learning, 2022

SleepGAN: Towards Personalized Sleep Therapy Music.

Jing Yang, Chulhong Min, Akhil Mathur, Fahim Kawsar

Proceedings of the IEEE International Conference on Acoustics, 2022

A Taxonomy of Noise in Voice Self-reports while Running.

Tao Bi, Temitayo A. Olugbade, Akhil Mathur, Catherine Holloway, Aneesha Singh, Enrico Costanza, Nadia Berthouze

Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021

Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data.

Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Chronic Pain Protective Behavior Detection with Deep Learning.

Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze

ACM Trans. Comput. Heal., 2021

On-device Federated Learning with Flower.

Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane

CoRR, 2021

A first look into the carbon footprint of federated learning.

Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane

CoRR, 2021

Low-Power Audio Keyword Spotting using Tsetlin Machines.

Jie Lei, Tousif Rahman, Rishad A. Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar, Akhil Mathur

CoRR, 2021

Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning.

Wiebke Toussaint, Akhil Mathur, Aaron Yi Ding, Fahim Kawsar

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Device or User: Rethinking Federated Learning in Personal-Scale Multi-Device Environments.

Hyunsung Cho, Akhil Mathur, Fahim Kawsar

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Designing Memory Aids for Dementia Patients using Earables.

Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2020

Scaling machine learning systems using domain adaptation

Akhil Mathur

PhD thesis, 2020

A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition.

Youngjae Chang, Akhil Mathur, Anton Isopoussu, Junehwa Song, Fahim Kawsar

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

SensiX: A Platform for Collaborative Machine Learning on the Edge.

Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Fahim Kawsar

CoRR, 2020

A first look into the carbon footprint of federated learning.

Xinchi Qiu, Titouan Parcollet, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane

CoRR, 2020

Flower: A Friendly Federated Learning Research Framework.

Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane

CoRR, 2020

Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification.

Akhil Mathur, Nadia Berthouze, Nicholas D. Lane

Proceedings of the Interspeech 2020, 2020

Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation.

Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Data4Good: Designing for Diversity and Development.

Luigi De Russis, Neha Kumar, Akhil Mathur

Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019

Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach.

Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze

CoRR, 2019

A closer look at quality-aware runtime assessment of sensing models in multi-device environments.

Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Situation-Aware Conversational Agent with Kinetic Earables.

Shin Katayama, Akhil Mathur, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems.

Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane

Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation.

Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models.

Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data.

Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

An early characterisation of wearing variability on motion signals for wearables.

Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

Unsupervised domain adaptation for robust sensory systems.

Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

A Vision for Adaptive and Generalizable Audio-Sensing Systems.

Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane

Proceedings of the Fourth International Workshop on Social Sensing, 2019

Automatic Smile and Frown Recognition with Kinetic Earables.

Seungchul Lee, Chulhong Min, Alessandro Montanari, Akhil Mathur, Youngjae Chang, Junehwa Song, Fahim Kawsar

Proceedings of the 10th Augmented Human International Conference 2019, 2019

Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables.

Shin Katayama, Akhil Mathur, Marc Van den Broeck, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

Towards the Design and Evaluation of Robust Audio-Sensing Systems.

Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nadia Berthouze, Nicholas D. Lane

Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018

Earables for Personal-Scale Behavior Analytics.

Fahim Kawsar, Chulhong Min, Akhil Mathur, Allesandro Montanari

IEEE Pervasive Comput., 2018

Exploring audio and kinetic sensing on earable devices.

Chulhong Min, Akhil Mathur, Fahim Kawsar

Proceedings of the 4th ACM Workshop on Wearable Systems and Applications, 2018

Audio-Kinetic Model for Automatic Dietary Monitoring with Earable Devices.

Chulhong Min, Akhil Mathur, Fahim Kawsar

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

eSense: Earable Platform for Human Sensing.

Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices.

Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Cross-Modal Approach for Conversational Well-being Monitoring with Multi-Sensory Earables.

Chulhong Min, Alessandro Montanari, Akhil Mathur, Seungchul Lee, Fahim Kawsar

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

On Robustness of Cloud Speech APIs: An Early Characterization.

Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D. Lane, Nadia Berthouze

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

eSense: Open Earable Platform for Human Sensing.

Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Squeezing Deep Learning into Mobile and Embedded Devices.

Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar

IEEE Pervasive Comput., 2017

Moving Beyond Market Research: Demystifying Smartphone User Behavior in India.

Akhil Mathur, Lakshmi Manasa Kalanadhabhatta, Rahul Majethia, Fahim Kawsar

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware.

Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar

Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

Towards cognitive awareness: a mobile context modeling- and notification-based approach.

Akhil Mathur, Fahim Kawsar

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

Application overchoice: preliminary lessons from a longitudinal study.

Lakshmi Manasa Kalanadhabhatta, Akhil Mathur, Rahul Majethia, Fahim Kawsar

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016

The Need to Account for Geographical Diversities in Mobile Data Research.

Akhil Mathur, Fahim Kawsar

Proceedings of the First Workshop on Mobile Data, 2016

DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit.

Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar

Proceedings of the 8th EAI International Conference on Mobile Computing, 2016

A case study on capturing and visualising face-to-face interactions in the workplace.

Afra J. Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Marc Godon, Fahim Kawsar

Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2016

Understanding the impact of personal feedback on face-to-face interactions in the workplace.

Afra J. Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Fahim Kawsar

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Engagement-aware computing: modelling user engagement from mobile contexts.

Akhil Mathur, Nicholas D. Lane, Fahim Kawsar

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Let's Talk About the Quantified Workplace.

Afra J. Mashhadi, Fahim Kawsar, Akhil Mathur, Casey Dugan, N. Shami

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

Understanding the Privacy Design Space for Personal Connected Objects.

Alessandro Montanari, Afra J. Mashhadi, Akhil Mathur, Fahim Kawsar

Proceedings of the HCI 2016, 2016

2015

Quantified Workplace: Opportunities and Challenges.

Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Afra J. Mashhadi, Fahim Kawsar

Proceedings of the 2nd workshop on Workshop on Physical Analytics, 2015

Tiny habits in the giant enterprise: understanding the dynamics of a quantified workplace.

Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Afra J. Mashhadi, Fahim Kawsar

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014

The myth of subtle notifications.

Afra J. Mashhadi, Akhil Mathur, Fahim Kawsar

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013

Banking 101: Mobile-izing Financial Inclusion in an Emerging India.

Neha Kumar, Akhil Mathur, Siddhartha Lal

Bell Labs Tech. J., 2013

Exploring the interplay between community media and mobile web in developing regions.

Akhil Mathur, Sharad Jaiswal

Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2013

Exploring playback and recording of web-based audio media on low-end feature phones.

Akhil Mathur, Shivam Agarwal, Sharad Jaiswal

Proceedings of the Annual Symposium on Computing for Development, 2013

2012

Paying in Kind for Crowdsourced Work in Developing Regions.

Navkar Samdaria, Akhil Mathur, Ravin Balakrishnan

Proceedings of the Pervasive Computing - 10th International Conference, 2012

LifeView: a lifelog visualization tool for supporting sentimental recall and sharing.

Akhil Mathur, Anirban Majumder, Samik Datta, Sreedal Menon, Shipra Malhotra, Ankur Dahiya

Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI '12, Melbourne, VIC, Australia - November 26, 2012

2011

An exploratory study on the use of camera phones and pico projectors in rural India.

Akhil Mathur, Divya Ramachandran, Edward Cutrell, Ravin Balakrishnan

Proceedings of the 13th Conference on Human-Computer Interaction with Mobile Devices and Services, 2011

2010

Cloze: an authoring tool for teachers with low computer proficiency.

David Hutchful, Akhil Mathur, Edward Cutrell, Apurva Joshi

Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development, 2010

2009

Improving literacy in rural India: cellphone games in an after-school program.

Matthew Kam, Anuj Kumar, Shirley Jain, Akhil Mathur, John F. Canny

Proceedings of the 2009 International Conference on Information and Communication Technologies and Development, 2009

Designing digital games for rural children: a study of traditional village games in India.

Matthew Kam, Akhil Mathur, Anuj Kumar, John F. Canny

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008

Designing e-learning games for rural children in India: a format for balancing learning with fun.

Matthew Kam, Aishvarya Agarwal, Anuj Kumar, Siddhartha Lal, Akhil Mathur, Anuj Tewari, John F. Canny

Proceedings of the Conference on Designing Interactive Systems, 2008

2007

The social complexities of user-centered design in ICTD: Experiences from four schools in India's villages and slums.

Matthew Kam, Siddharth Bhagwani, Anuj Kumar, Siddhartha Lal, Akhil Mathur, Anuj Tewari, John F. Canny

Proceedings of the 2007 International Conference on Information and Communication Technologies and Development, 2007