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 (ICTD, 2007)

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 (Conference on Designing Interactive Systems, 2008)

Designing digital games for rural children: a study of traditional village games in India. - Matthew Kam; Akhil Mathur; Anuj Kumar; John F. Canny (CHI, 2009)

Improving literacy in rural India: cellphone games in an after-school program. - Matthew Kam; Anuj Kumar; Shirley Jain; Akhil Mathur; John F. Canny (ICTD, 2009)

Cloze: an authoring tool for teachers with low computer proficiency. - David Hutchful; Akhil Mathur; Edward Cutrell; Apurva Joshi (ICTD, 2010)

An exploratory study on the use of camera phones and pico projectors in rural India. - Akhil Mathur; Divya Ramachandran; Edward Cutrell; Ravin Balakrishnan (Mobile HCI, 2011)

LifeView: a lifelog visualization tool for supporting sentimental recall and sharing. - Akhil Mathur; Anirban Majumder; Samik Datta; Sreedal Menon; Shipra Malhotra; Ankur Dahiya (OZCHI, 2012)

Paying in Kind for Crowdsourced Work in Developing Regions. - Navkar Samdaria; Akhil Mathur; Ravin Balakrishnan (Pervasive, 2012)

Exploring playback and recording of web-based audio media on low-end feature phones. - Akhil Mathur; Shivam Agarwal; Sharad Jaiswal (ACM DEV (3), 2013)

Exploring the interplay between community media and mobile web in developing regions. - Akhil Mathur; Sharad Jaiswal (Mobile HCI, 2013)

Banking 101: Mobile-izing Financial Inclusion in an Emerging India. - Neha Kumar 001; Akhil Mathur; Siddhartha Lal (Bell Labs Tech. J., 2013)

The myth of subtle notifications. - Afra J. Mashhadi; Akhil Mathur; Fahim Kawsar (UbiComp Adjunct, 2014)

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 (UbiComp, 2015)

Quantified Workplace: Opportunities and Challenges. - Akhil Mathur; Marc Van den Broeck; Geert Vanderhulst; Afra J. Mashhadi; Fahim Kawsar (WPA@MobiSys, 2015)

Understanding the Privacy Design Space for Personal Connected Objects. - Alessandro Montanari; Afra J. Mashhadi; Akhil Mathur; Fahim Kawsar (BCS HCI, 2016)

Let's Talk About the Quantified Workplace. - Afra J. Mashhadi; Fahim Kawsar; Akhil Mathur; Casey Dugan; N. Shami (CSCW Companion, 2016)

Engagement-aware computing: modelling user engagement from mobile contexts. - Akhil Mathur; Nicholas D. Lane; Fahim Kawsar (UbiComp, 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 (ICMI, 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 (MobileHCI Adjunct, 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 (MobiCASE, 2016)

The Need to Account for Geographical Diversities in Mobile Data Research. - Akhil Mathur; Fahim Kawsar (MobiData@MobiSys, 2016)

Application overchoice: preliminary lessons from a longitudinal study. - Lakshmi Manasa Kalanadhabhatta; Akhil Mathur; Rahul Majethia; Fahim Kawsar (UbiComp/ISWC Adjunct, 2017)

Towards cognitive awareness: a mobile context modeling- and notification-based approach. - Akhil Mathur; Fahim Kawsar (UbiComp/ISWC Adjunct, 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 (MobiSys, 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)

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)

eSense: Open Earable Platform for Human Sensing. - Fahim Kawsar; Chulhong Min; Akhil Mathur; Alessandro Montanari; Utku Günay Acer; Marc Van den Broeck (UbiComp/ISWC Adjunct, 2018)

On Robustness of Cloud Speech APIs: An Early Characterization. - Akhil Mathur; Anton Isopoussu; Fahim Kawsar; Robert Smith; Nicholas D. Lane; Nadia Berthouze (UbiComp/ISWC Adjunct, 2018)

Cross-Modal Approach for Conversational Well-being Monitoring with Multi-Sensory Earables. - Chulhong Min; Alessandro Montanari; Akhil Mathur; Seungchul Lee; Fahim Kawsar (UbiComp/ISWC Adjunct, 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 (IPSN, 2018)

eSense: Earable Platform for Human Sensing. - Fahim Kawsar; Chulhong Min; Akhil Mathur; Marc Van den Broeck; Utku Günay Acer; Claudio Forlivesi (MobiSys, 2018)

Audio-Kinetic Model for Automatic Dietary Monitoring with Earable Devices. - Chulhong Min; Akhil Mathur; Fahim Kawsar (MobiSys, 2018)

Exploring audio and kinetic sensing on earable devices. - Chulhong Min; Akhil Mathur; Fahim Kawsar (WearSys@MobiSys, 2018)

Earables for Personal-Scale Behavior Analytics. - Fahim Kawsar; Chulhong Min; Akhil Mathur; Allesandro Montanari (IEEE Pervasive Comput., 2018)

Towards the Design and Evaluation of Robust Audio-Sensing Systems. - Akhil Mathur; Anton Isopoussu; Fahim Kawsar; Robert Smith; Nadia Berthouze; Nicholas D. Lane (Human Activity Sensing, 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 (ACII, 2019)

Automatic Smile and Frown Recognition with Kinetic Earables. - Seungchul Lee; Chulhong Min; Alessandro Montanari; Akhil Mathur; Youngjae Chang 001; Junehwa Song; Fahim Kawsar (AH, 2019)

A Vision for Adaptive and Generalizable Audio-Sensing Systems. - Akhil Mathur; Fahim Kawsar; Nadia Berthouze; Nicholas D. Lane (SocialSens@CPSIoTWeek, 2019)

Unsupervised domain adaptation for robust sensory systems. - Akhil Mathur; Anton Isopoussu; Nadia Berthouze; Nicholas D. Lane; Fahim Kawsar (UbiComp/ISWC Adjunct, 2019)

An early characterisation of wearing variability on motion signals for wearables. - Chulhong Min; Akhil Mathur; Alessandro Montanari; Fahim Kawsar (UbiComp, 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 (UbiComp, 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 (ICMLA, 2019)

FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. - Akhil Mathur; Anton Isopoussu; Fahim Kawsar; Nadia Bianchi-Berthouze; Nicholas D. Lane (ICMLA, 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 (IPSN, 2019)

Situation-Aware Conversational Agent with Kinetic Earables. - Shin Katayama; Akhil Mathur; Tadashi Okoshi; Jin Nakazawa; Fahim Kawsar (MobiSys, 2019)

A closer look at quality-aware runtime assessment of sensing models in multi-device environments. - Chulhong Min; Alessandro Montanari; Akhil Mathur; Fahim Kawsar (SenSys, 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)

Data4Good: Designing for Diversity and Development. - Luigi De Russis; Neha Kumar 001; Akhil Mathur (AVI, 2020)

Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. - Akhil Mathur; Fahim Kawsar; Nadia Berthouze; Nicholas D. Lane (ICASSP, 2020)

Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification. - Akhil Mathur; Nadia Berthouze; Nicholas D. Lane (INTERSPEECH, 2020)

Flower: A Friendly Federated Learning Research Framework. - Daniel J. Beutel; Taner Topal; Akhil Mathur; Xinchi Qiu; Titouan Parcollet; Nicholas D. Lane (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)

SensiX: A Platform for Collaborative Machine Learning on the Edge. - Chulhong Min; Akhil Mathur; Alessandro Montanari; Utku Günay Acer; Fahim Kawsar (CoRR, 2020)

A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition. - Youngjae Chang 001; Akhil Mathur; Anton Isopoussu; Junehwa Song; Fahim Kawsar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Scaling machine learning systems using domain adaptation - Akhil Mathur (2020)

Designing Memory Aids for Dementia Patients using Earables. - Matija Franklin; David A. Lagnado; Chulhong Min; Akhil Mathur; Fahim Kawsar (UbiComp/ISWC Adjunct, 2021)

Device or User: Rethinking Federated Learning in Personal-Scale Multi-Device Environments. - Hyunsung Cho; Akhil Mathur; Fahim Kawsar (SenSys, 2021)

Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning. - Wiebke Toussaint; Akhil Mathur; Aaron Yi Ding; Fahim Kawsar (SenSys, 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)

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)

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 016; Nicholas D. Lane (CoRR, 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)

Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. - Chongyang Wang; Yuan Gao 024; Akhil Mathur; Amanda C. de C. Williams; Nicholas D. Lane; Nadia Bianchi-Berthouze (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

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 (UbiComp/ISWC Adjunct, 2022)

SleepGAN: Towards Personalized Sleep Therapy Music. - Jing Yang; Chulhong Min; Akhil Mathur; Fahim Kawsar (ICASSP, 2022)

Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. - Ekdeep Singh Lubana; Chi Ian Tang; Fahim Kawsar; Robert P. Dick; Akhil Mathur (ICML, 2022)

Centaur: Federated Learning for Constrained Edge Devices. - Fan Mo; Mohammad Malekzadeh; Soumyajit Chatterjee; Fahim Kawsar; Akhil Mathur (CoRR, 2022)

FLAME: Federated Learning across Multi-device Environments. - Hyunsung Cho; Akhil Mathur; Fahim Kawsar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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)

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)

Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. - Matija Franklin; David A. Lagnado; Chulhong Min; Akhil Mathur; Fahim Kawsar (EXTRAAMAS, 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)

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)

A First Look into the Carbon Footprint of Federated Learning. - Xinchi Qiu; Titouan Parcollet; Javier Fernández-Marqués; Pedro P. B. de Gusmao; Yan Gao 016; Daniel J. Beutel; Taner Topal; Akhil Mathur; Nicholas D. Lane (J. Mach. Learn. Res., 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., 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., 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., 2023)

Kaizen: Practical self-supervised continual learning with continual fine-tuning. - Chi Ian Tang; Lorena Qendro; Dimitris Spathis; Fahim Kawsar; Cecilia Mascolo; Akhil Mathur (WACV, 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 (WSDM, 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)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)