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2020 – today
- 2024
[c54]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Kaizen: Practical self-supervised continual learning with continual fine-tuning. WACV 2024: 2829-2838- [c53]Shohreh Deldari
, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking. WSDM 2024: 152-160 - [i21]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, Cecilia Mascolo:
Balancing Continual Learning and Fine-tuning for Human Activity Recognition. CoRR abs/2401.02255 (2024) - [i20]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, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - 2023
- [j14]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24: 129:1-129:23 (2023) - [j13]Chulhong Min, Akhil Mathur, Utku Günay Acer, Alessandro Montanari, Fahim Kawsar:
SensiX++: Bringing MLOps and Multi-tenant Model Serving to Sensory Edge Devices. ACM Trans. Embed. Comput. Syst. 22(6): 98:1-98:27 (2023) - [j12]Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar:
SensiX: A System for Best-Effort Inference of Machine Learning Models in Multi-Device Environments. IEEE Trans. Mob. Comput. 22(9): 5525-5538 (2023) - [j11]Wiebke Toussaint Hutiri, Aaron Yi Ding, Fahim Kawsar, Akhil Mathur:
Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows. ACM Trans. Softw. Eng. Methodol. 32(6): 155:1-155:37 (2023) - [c52]Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. EXTRAAMAS 2023: 270-280 - [i19]Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur:
Practical self-supervised continual learning with continual fine-tuning. CoRR abs/2303.17235 (2023) - [i18]Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur:
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries. CoRR abs/2307.16847 (2023) - 2022
- [j10]Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 17:1-17:28 (2022) - [j9]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
FLAME: Federated Learning across Multi-device Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 107:1-107:29 (2022) - [j8]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. IEEE Trans. Parallel Distributed Syst. 33(11): 3153-3164 (2022) - [c51]Tao Bi, Temitayo A. Olugbade, Akhil Mathur, Catherine Holloway, Aneesha Singh, Enrico Costanza, Nadia Berthouze:
A Taxonomy of Noise in Voice Self-reports while Running. UbiComp/ISWC Adjunct 2022: 229-232 - [c50]Jing Yang, Chulhong Min, Akhil Mathur, Fahim Kawsar:
SleepGAN: Towards Personalized Sleep Therapy Music. ICASSP 2022: 966-970 - [c49]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. ICML 2022: 14461-14484 - [i17]Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding:
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows. CoRR abs/2201.07677 (2022) - [i16]Yash Jain, Chi Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur:
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. CoRR abs/2202.00758 (2022) - [i15]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
FLAME: Federated Learning Across Multi-device Environments. CoRR abs/2202.08922 (2022) - [i14]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. CoRR abs/2205.11506 (2022) - [i13]Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur:
Centaur: Federated Learning for Constrained Edge Devices. CoRR abs/2211.04175 (2022) - 2021
- [j7]Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Chronic Pain Protective Behavior Detection with Deep Learning. ACM Trans. Comput. Heal. 2(3): 23:1-23:24 (2021) - [j6]Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 81:1-81:27 (2021) - [c48]Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Designing Memory Aids for Dementia Patients using Earables. UbiComp/ISWC Adjunct 2021: 152-157 - [c47]Wiebke Toussaint, Akhil Mathur, Aaron Yi Ding, Fahim Kawsar:
Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning. SenSys 2021: 439-445 - [c46]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
Device or User: Rethinking Federated Learning in Personal-Scale Multi-Device Environments. SenSys 2021: 446-452 - [i12]Jie Lei, Tousif Rahman, Rishad A. Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar, Akhil Mathur:
Low-Power Audio Keyword Spotting using Tsetlin Machines. CoRR abs/2101.11336 (2021) - [i11]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. CoRR abs/2102.07627 (2021) - [i10]Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane:
On-device Federated Learning with Flower. CoRR abs/2104.03042 (2021) - [i9]Chulhong Min, Akhil Mathur, Utku Günay Acer, Alessandro Montanari, Fahim Kawsar:
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices. CoRR abs/2109.03947 (2021) - [i8]Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
FRuDA: Framework for Distributed Adversarial Domain Adaptation. CoRR abs/2112.13381 (2021) - 2020
- [b1]Akhil Mathur:
Scaling machine learning systems using domain adaptation. University College London (University of London), UK, 2020 - [j5]Youngjae Chang, Akhil Mathur, Anton Isopoussu, Junehwa Song, Fahim Kawsar:
A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 39:1-39:30 (2020) - [c45]Luigi De Russis, Neha Kumar, Akhil Mathur:
Data4Good: Designing for Diversity and Development. AVI 2020: 105:1-105:2 - [c44]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. ICASSP 2020: 7439-7443 - [c43]Akhil Mathur, Nadia Berthouze, Nicholas D. Lane:
Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification. INTERSPEECH 2020: 1271-1275 - [i7]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems. CoRR abs/2003.12425 (2020) - [i6]Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Titouan Parcollet, Nicholas D. Lane:
Flower: A Friendly Federated Learning Research Framework. CoRR abs/2007.14390 (2020) - [i5]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation. CoRR abs/2009.02814 (2020) - [i4]Xinchi Qiu, Titouan Parcollet, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. CoRR abs/2010.06537 (2020) - [i3]Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. CoRR abs/2011.01776 (2020) - [i2]Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Fahim Kawsar:
SensiX: A Platform for Collaborative Machine Learning on the Edge. CoRR abs/2012.06035 (2020)
2010 – 2019
- 2019
- [c42]Shin Katayama, Akhil Mathur, Marc Van den Broeck, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar:
Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables. ACII 2019: 725-731 - [c41]Seungchul Lee, Chulhong Min, Alessandro Montanari, Akhil Mathur, Youngjae Chang, Junehwa Song, Fahim Kawsar:
Automatic Smile and Frown Recognition with Kinetic Earables. AH 2019: 25:1-25:4 - [c40]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
A Vision for Adaptive and Generalizable Audio-Sensing Systems. SocialSens@CPSIoTWeek 2019: 43 - [c39]Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar:
An early characterisation of wearing variability on motion signals for wearables. UbiComp 2019: 166-168 - [c38]Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data. UbiComp 2019: 225-230 - [c37]Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar:
Unsupervised domain adaptation for robust sensory systems. UbiComp/ISWC Adjunct 2019: 505-509 - [c36]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane:
FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. ICMLA 2019: 896-901 - [c35]Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar:
AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models. ICMLA 2019: 978-985 - [c34]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems. IPSN 2019: 169-180 - [c33]Shin Katayama, Akhil Mathur, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar:
Situation-Aware Conversational Agent with Kinetic Earables. MobiSys 2019: 657-658 - [c32]Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar:
A closer look at quality-aware runtime assessment of sensing models in multi-device environments. SenSys 2019: 271-284 - [p1]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nadia Berthouze, Nicholas D. Lane:
Towards the Design and Evaluation of Robust Audio-Sensing Systems. Human Activity Sensing 2019: 47-57 - [e1]Fahim Kawsar, Chulhong Min, Akhil Mathur, Ashwin Ashok, Alessandro Montanari:
The 5th ACM Workshop on Wearable Systems and Applications, WearSys@MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. ACM 2019, ISBN 978-1-4503-6775-2 [contents] - [i1]Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach. CoRR abs/1902.08990 (2019) - 2018
- [j4]Fahim Kawsar, Chulhong Min, Akhil Mathur, Allesandro Montanari:
Earables for Personal-Scale Behavior Analytics. IEEE Pervasive Comput. 17(3): 83-89 (2018) - [c31]Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck:
eSense: Open Earable Platform for Human Sensing. UbiComp/ISWC Adjunct 2018: 381-383 - [c30]Chulhong Min, Alessandro Montanari, Akhil Mathur, Seungchul Lee, Fahim Kawsar:
Cross-Modal Approach for Conversational Well-being Monitoring with Multi-Sensory Earables. UbiComp/ISWC Adjunct 2018: 706-709 - [c29]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D. Lane, Nadia Berthouze:
On Robustness of Cloud Speech APIs: An Early Characterization. UbiComp/ISWC Adjunct 2018: 1409-1413 - [c28]Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò:
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN 2018: 200-211 - [c27]Chulhong Min, Akhil Mathur, Fahim Kawsar:
Exploring audio and kinetic sensing on earable devices. WearSys@MobiSys 2018: 5-10 - [c26]Chulhong Min, Akhil Mathur, Fahim Kawsar:
Audio-Kinetic Model for Automatic Dietary Monitoring with Earable Devices. MobiSys 2018: 517 - [c25]Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi:
eSense: Earable Platform for Human Sensing. MobiSys 2018: 541 - [c24]Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck:
eSense: Open Earable Platform for Human Sensing. SenSys 2018: 371-372 - 2017
- [j3]Akhil Mathur, Lakshmi Manasa Kalanadhabhatta, Rahul Majethia, Fahim Kawsar:
Moving Beyond Market Research: Demystifying Smartphone User Behavior in India. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 82:1-82:27 (2017) - [j2]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. 16(3): 82-88 (2017) - [c23]Akhil Mathur, Fahim Kawsar:
Towards cognitive awareness: a mobile context modeling- and notification-based approach. UbiComp/ISWC Adjunct 2017: 977-981 - [c22]Lakshmi Manasa Kalanadhabhatta, Akhil Mathur, Rahul Majethia, Fahim Kawsar:
Application overchoice: preliminary lessons from a longitudinal study. UbiComp/ISWC Adjunct 2017: 982-987 - [c21]Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar:
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. MobiSys 2017: 68-81 - 2016
- [c20]Alessandro Montanari, Afra J. Mashhadi, Akhil Mathur, Fahim Kawsar:
Understanding the Privacy Design Space for Personal Connected Objects. BCS HCI 2016 - [c19]Afra J. Mashhadi, Fahim Kawsar, Akhil Mathur, Casey Dugan, N. Shami:
Let's Talk About the Quantified Workplace. CSCW Companion 2016: 522-528 - [c18]Akhil Mathur, Nicholas D. Lane, Fahim Kawsar:
Engagement-aware computing: modelling user engagement from mobile contexts. UbiComp 2016: 622-633 - [c17]Afra J. Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Fahim Kawsar:
Understanding the impact of personal feedback on face-to-face interactions in the workplace. ICMI 2016: 362-369 - [c16]Afra J. Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Marc Godon, Fahim Kawsar:
A case study on capturing and visualising face-to-face interactions in the workplace. MobileHCI Adjunct 2016: 575-584 - [c15]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar:
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. MobiCASE 2016: 98-107 - [c14]Akhil Mathur, Fahim Kawsar:
The Need to Account for Geographical Diversities in Mobile Data Research. MobiData@MobiSys 2016: 7-11 - 2015
- [c13]Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Afra J. Mashhadi, Fahim Kawsar:
Tiny habits in the giant enterprise: understanding the dynamics of a quantified workplace. UbiComp 2015: 577-588 - [c12]Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Afra J. Mashhadi, Fahim Kawsar:
Quantified Workplace: Opportunities and Challenges. WPA@MobiSys 2015: 37-41 - 2014
- [c11]Afra J. Mashhadi, Akhil Mathur, Fahim Kawsar:
The myth of subtle notifications. UbiComp Adjunct 2014: 111-114 - 2013
- [j1]Neha Kumar, Akhil Mathur, Siddhartha Lal:
Banking 101: Mobile-izing Financial Inclusion in an Emerging India. Bell Labs Tech. J. 17(4): 37-41 (2013) - [c10]Akhil Mathur, Shivam Agarwal, Sharad Jaiswal:
Exploring playback and recording of web-based audio media on low-end feature phones. ACM DEV (3) 2013: 13:1-13:9 - [c9]Akhil Mathur, Sharad Jaiswal:
Exploring the interplay between community media and mobile web in developing regions. Mobile HCI 2013: 318-327 - 2012
- [c8]Akhil Mathur, Anirban Majumder, Samik Datta, Sreedal Menon, Shipra Malhotra, Ankur Dahiya:
LifeView: a lifelog visualization tool for supporting sentimental recall and sharing. OZCHI 2012: 371-380 - [c7]Navkar Samdaria, Akhil Mathur, Ravin Balakrishnan:
Paying in Kind for Crowdsourced Work in Developing Regions. Pervasive 2012: 343-360 - 2011
- [c6]Akhil Mathur, Divya Ramachandran, Edward Cutrell, Ravin Balakrishnan:
An exploratory study on the use of camera phones and pico projectors in rural India. Mobile HCI 2011: 347-356 - 2010
- [c5]David Hutchful, Akhil Mathur, Edward Cutrell, Apurva Joshi:
Cloze: an authoring tool for teachers with low computer proficiency. ICTD 2010: 21:1-21:10
2000 – 2009
- 2009
- [c4]Matthew Kam, Akhil Mathur, Anuj Kumar, John F. Canny:
Designing digital games for rural children: a study of traditional village games in India. CHI 2009: 31-40 - [c3]Matthew Kam, Anuj Kumar, Shirley Jain, Akhil Mathur, John F. Canny:
Improving literacy in rural India: cellphone games in an after-school program. ICTD 2009: 139-149 - 2008
- [c2]Matthew Kam, Aishvarya Agarwal, Anuj Kumar, Siddhartha Lal, Akhil Mathur, Anuj Tewari, John F. Canny:
Designing e-learning games for rural children in India: a format for balancing learning with fun. Conference on Designing Interactive Systems 2008: 58-67 - 2007
- [c1]Matthew Kam, Siddharth Bhagwani, Anuj Kumar, Siddhartha Lal, Akhil Mathur, Anuj Tewari, John F. Canny:
The social complexities of user-centered design in ICTD: Experiences from four schools in India's villages and slums. ICTD 2007: 1-6
Coauthor Index
Nadia Bianchi-Berthouze
aka: Nadia Berthouze
aka: Nadia Berthouze
[c54] [c53] [i21] [j13] [j12] [j11] [c52] [i19] [i18] [j10] [j9] [j8] [c50] [c49] [i17] [i16] [i15] [i14] [i13] [c48] [c47] [c46] [i12] [i9] [i8] [j5] [c44] [i7] [i5] [i2] [c42] [c41] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [p1] [e1] [j4] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [j3] [j2] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11]
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