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2020 – today
- 2024
[j31]Fahim Kawsar
:
Beyond Pixels. IEEE Pervasive Comput. 23(1): 4-6 (2024)- [c129]Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, Alessandro Montanari:
Towards Enabling DPOAE Estimation on Single-Speaker Earbuds. ICASSP 2024: 246-250 - [c128]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Using Self-supervised Learning Can Improve Model Fairness. KDD 2024: 3942-3953 - [c127]Si Young Jang, Fahim Kawsar, Chulhong Min:
Thermal Characterization of AI Applications on AI Accelerators-equipped Microcontrollers. BodySys@MobiSys 2024: 17-22 - [c126]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 - [c125]Mohammad Malekzadeh, Fahim Kawsar:
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. HotMobile 2024: 14-20 - [c124]Julia Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar, Alessandro Montanari:
OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. HotMobile 2024: 99-106 - [c123]Soumyajit Chatterjee, Fahim Kawsar, Mohammad Malekzadeh:
Poster: Test-time Training for Sensor Data Classification via Time-series Change Identification. HotMobile 2024: 139 - [c122]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 - [i26]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data. CoRR abs/2401.01640 (2024) - [i25]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) - [i24]Taesik Gong, Si Young Jang, Utku Günay Acer, Fahim Kawsar, Chulhong Min:
Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs. CoRR abs/2401.08637 (2024) - [i23]Chulhong Min, Juheon Yi, Utku Günay Acer, Fahim Kawsar:
Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras. CoRR abs/2401.14132 (2024) - [i22]Adiba Orzikulova, Diana A. Vasile, Fahim Kawsar, Chulhong Min:
Time-bound Contextual Bio-ID Generation for Minimalist Wearables. CoRR abs/2403.00889 (2024) - [i21]Chulhong Min, Utku Günay Acer, Si Young Jang, Sangwon Choi, Diana A. Vasile, Taesik Gong, Juheon Yi, Fahim Kawsar:
An AI-Native Runtime for Multi-Wearable Environments. CoRR abs/2403.17863 (2024) - [i20]Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Using Self-supervised Learning Can Improve Model Fairness. CoRR abs/2406.02361 (2024) - 2023
- [j30]Berken Utku Demirel, Ting Dang, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari:
Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 156:1-156:29 (2023) - [j29]Fahim Kawsar:
A New Beginning. IEEE Pervasive Comput. 22(1): 4-6 (2023) - [j28]Fahim Kawsar:
Generative AI and the Call for Brevity. IEEE Pervasive Comput. 22(3): 4-5 (2023) - [j27]Nicole Lai-Tan, Marios G. Philiastides, Fahim Kawsar, Fani Deligianni:
Toward Personalized Music-Therapy: A Neurocomputational Modeling Perspective. IEEE Pervasive Comput. 22(3): 27-37 (2023) - [j26]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) - [j25]Kamran Ali, Mohammed Alloulah, Fahim Kawsar, Alex X. Liu:
On Goodness of WiFi Based Monitoring of Sleep Vital Signs in the Wild. IEEE Trans. Mob. Comput. 22(1): 341-355 (2023) - [j24]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) - [j23]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) - [c121]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 - [c120]Berken Utku Demirel, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari:
Cancelling Intermodulation Distortions for Otoacoustic Emission Measurements with Earbuds. ICASSP 2023: 1-5 - [c119]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. MobileHCI (Companion) 2023: 19:1-19:7 - [c118]Bhawana Chhaglani, Utku Günay Acer, Si Young Jang, Fahim Kawsar, Chulhong Min:
Cocoon: On-Body Microphone Collaboration for Spatial Awareness. HotMobile 2023: 89-95 - [c117]Ananta Narayanan Balaji, Andrea Ferlini, Fahim Kawsar, Alessandro Montanari:
Stereo-BP: Non-Invasive Blood Pressure Sensing with Earables. HotMobile 2023: 96-102 - [d2]Andrea Ferlini, Alessandro Montanari, Ananta Narayanan Balaji, Cecilia Mascolo, Fahim Kawsar:
EarSet: A Multi-Modal In-Ear Dataset. Version 1. Zenodo, 2023 [all versions]
- [d1]Andrea Ferlini, Alessandro Montanari, Ananta Narayanan Balaji, Cecilia Mascolo, Fahim Kawsar:
EarSet: A Multi-Modal In-Ear Dataset. Version 2. Zenodo, 2023 [all versions] - [i19]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing. CoRR abs/2303.15585 (2023) - [i18]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) - [i17]Nicole Lai, Marios G. Philiastides, Fahim Kawsar, Fani Deligianni:
Towards personalised music-therapy; a neurocomputational modelling perspective. CoRR abs/2305.14364 (2023) - [i16]Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar:
The State of Algorithmic Fairness in Mobile Human-Computer Interaction. CoRR abs/2307.12075 (2023) - [i15]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) - [i14]Dimitris Spathis, Fahim Kawsar:
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models. CoRR abs/2309.06236 (2023) - [i13]Mohammad Malekzadeh, Fahim Kawsar:
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. CoRR abs/2310.13384 (2023) - 2022
- [j22]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) - [j21]Utku Günay Acer, Marc Van den Broeck, Chulhong Min, Mallesham Dasari, Fahim Kawsar:
The City as a Personal Assistant: Turning Urban Landmarks into Conversational Agents for Serving Hyper Local Information. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 40:1-40:31 (2022) - [j20]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) - [j19]Andrea Ferlini, Alessandro Montanari, Chulhong Min, Hongwei Li, Ugo Sassi, Fahim Kawsar:
In-Ear PPG for Vital Signs. IEEE Pervasive Comput. 21(1): 65-74 (2022) - [j18]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) - [c116]Hoang Truong, Alessandro Montanari, Fahim Kawsar:
Non-Invasive Blood Pressure Monitoring with Multi-Modal In-Ear Sensing. ICASSP 2022: 6-10 - [c115]Jing Yang, Chulhong Min, Akhil Mathur, Fahim Kawsar:
SleepGAN: Towards Personalized Sleep Therapy Music. ICASSP 2022: 966-970 - [c114]Fahad Ayaz, Muhammed Shahzeb Khan, Sajjad Hussain, Waseem Ahmad, Fahim Kawsar, Muhammad Ali Imran, Ahmed Zoha:
Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar. ICECS 2022 2022: 1-4 - [c113]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 - [c112]Abu Bakar, Tousif Rahman, Rishad A. Shafik, Fahim Kawsar, Alessandro Montanari:
Adaptive Intelligence for Batteryless Sensors Using Software-Accelerated Tsetlin Machines. SenSys 2022: 236-249 - [c111]Arthur Moss, Hyunjong Lee, Lei Xun, Chulhong Min, Fahim Kawsar, Alessandro Montanari:
Ultra-Low Power DNN Accelerators for IoT: Resource Characterization of the MAX78000. SenSys 2022: 934-940 - [c110]Abu Bakar, Tousif Rahman, Alessandro Montanari, Jie Lei, Rishad A. Shafik, Fahim Kawsar:
Logic-based intelligence for batteryless sensors. HotMobile 2022: 22-28 - [i12]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) - [i11]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) - [i10]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
FLAME: Federated Learning Across Multi-device Environments. CoRR abs/2202.08922 (2022) - [i9]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) - [i8]Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur:
Centaur: Federated Learning for Constrained Edge Devices. CoRR abs/2211.04175 (2022) - 2021
- [j17]Fahim Kawsar, Romit Roy Choudhury, Ganesh Ananthanarayanan:
Pervasive Video and Audio. IEEE Pervasive Comput. 20(2): 7-8 (2021) - [c109]Tadashi Okoshi, Jin Nakazawa, Jeong-Gil Ko, Fahim Kawsar, Susanna Pirttikangas:
WellComp 2021: Fourth International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct 2021: 108-111 - [c108]Fahim Kawsar, Robert Harle, Alessandro Montanari, Chulhong Min:
EarComp 2021: Second International Workshop on Earable Computing. UbiComp/ISWC Adjunct 2021: 135-138 - [c107]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 - [c106]Si Young Jang, Utku Günay Acer, Chulhong Min, Fahim Kawsar:
Deploying Collaborative Machine Learning Systems in Edge with Multiple Cameras. ICMU 2021: 1-6 - [c105]Manasa Kalanadhabhatta, Chulhong Min, Alessandro Montanari, Fahim Kawsar:
FatigueSet: A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability. PervasiveHealth 2021: 204-217 - [c104]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 - [c103]Hyunsung Cho, Akhil Mathur, Fahim Kawsar:
Device or User: Rethinking Federated Learning in Personal-Scale Multi-Device Environments. SenSys 2021: 446-452 - [c102]Juheon Yi, Chulhong Min, Fahim Kawsar:
Vision Paper: Towards Software-Defined Video Analytics with Cross-Camera Collaboration. SenSys 2021: 474-477 - [i7]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) - [i6]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) - [i5]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
- [j16]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) - [c101]Tadashi Okoshi, Jin Nakazawa, JeongGil Ko, Fahim Kawsar, Susanna Pirttikangas:
WellComp 2020: third international workshop on computing for well-being. UbiComp/ISWC Adjunct 2020: 671-674 - [c100]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. ICASSP 2020: 7439-7443 - [c99]Chunjong Park, Chulhong Min, Sourav Bhattacharya, Fahim Kawsar:
Augmenting Conversational Agents with Ambient Acoustic Contexts. MobileHCI 2020: 33:1-33:9 - [c98]Alessandro Montanari, Manuja Sharma, Dainius Jenkus, Mohammed Alloulah, Lorena Qendro, Fahim Kawsar:
ePerceptive: energy reactive embedded intelligence for batteryless sensors. SenSys 2020: 382-394 - [i4]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) - [i3]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation. CoRR abs/2009.02814 (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
- [j15]Mohammed Alloulah, Anton Isopoussu, Chulhong Min, Fahim Kawsar:
On Tracking the Physicality of Wi-Fi: A Subspace Approach. IEEE Access 7: 19965-19978 (2019) - [j14]Moustafa Youssef, Fahim Kawsar:
Transformative Computing and Communication. Computer 52(7): 12-14 (2019) - [j13]Utku Günay Acer, Marc Van den Broeck, Claudio Forlivesi, Florian Heller, Fahim Kawsar:
Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 35:1-35:32 (2019) - [c97]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 - [c96]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 - [c95]Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
A Vision for Adaptive and Generalizable Audio-Sensing Systems. SocialSens@CPSIoTWeek 2019: 43 - [c94]Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar:
An early characterisation of wearing variability on motion signals for wearables. UbiComp 2019: 166-168 - [c93]Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar:
Unsupervised domain adaptation for robust sensory systems. UbiComp/ISWC Adjunct 2019: 505-509 - [c92]Alessandro Montanari, Mohammed Alloulah, Fahim Kawsar:
Degradable inference for energy autonomous vision applications. UbiComp/ISWC Adjunct 2019: 592-597 - [c91]Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar:
The city as a personal assistant. UbiComp/ISWC Adjunct 2019: 1102-1106 - [c90]Tadashi Okoshi, Jin Nakazawa, JeongGil Ko, Fahim Kawsar, Susanna Pirttikangas:
WellComp 2019: second international workshop on computing for well-being. UbiComp/ISWC Adjunct 2019: 1146-1149 - [c89]Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane:
FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. ICMLA 2019: 896-901 - [c88]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 - [c87]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 - [c86]Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar:
On Hyper-local Conversational Agents in Urban Settings. MCSS@MobiSys 2019: 1-4 - [c85]Shin Katayama, Akhil Mathur, Tadashi Okoshi, Jin Nakazawa, Fahim Kawsar:
Situation-Aware Conversational Agent with Kinetic Earables. MobiSys 2019: 657-658 - [c84]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 - [p2]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 - [e8]Fahim Kawsar, Alastair R. Beresford:
Proceedings of the 1st International Workshop on Earable Computing, EarComp@UbiComp 2019, London, UK, September 10, 2019. ACM 2019, ISBN 978-1-4503-6902-2 [contents] - [e7]Junehwa Song, Minkyong Kim, Nicholas D. Lane, Rajesh Krishna Balan, Fahim Kawsar, Yunxin Liu:
Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. ACM 2019, ISBN 978-1-4503-6661-8 [contents] - [e6]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] - 2018
- [j12]Fahim Kawsar, Chulhong Min, Akhil Mathur, Allesandro Montanari:
Earables for Personal-Scale Behavior Analytics. IEEE Pervasive Comput. 17(3): 83-89 (2018) - [j11]Florian Michahelles, Fahim Kawsar, Simon Mayer, Luca Mottola:
Beyond Testbeds: Real-World IoT Deployments. IEEE Pervasive Comput. 17(4): 13-14 (2018) - [c83]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 - [c82]Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar, Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Matthieu Vegreville:
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. UbiComp/ISWC Adjunct 2018: 666-669 - [c81]Tadashi Okoshi, JeongGil Ko, Susanna Pirttikangas, Jin Nakazawa, Fahim Kawsar:
WellComp 2018: First International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct 2018: 684-687 - [c80]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 - [c79]Mohammed Alloulah, Anton Isopoussu, Fahim Kawsar:
On Indoor Human Sensing Using Commodity Radar. UbiComp/ISWC Adjunct 2018: 1331-1336 - [c78]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 - [c77]Jacky Bourgeois, Gerd Kortuem, Fahim Kawsar:
Trusted and GDPR-compliant research with the internet of things. IOT 2018: 13:1-13:8 - [c76]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 - [c75]Chulhong Min, Akhil Mathur, Fahim Kawsar:
Exploring audio and kinetic sensing on earable devices. WearSys@MobiSys 2018: 5-10 - [c74]Claudio Forlivesi, Utku Günay Acer, Marc Van den Broeck, Fahim Kawsar:
Mindful interruptions: a lightweight system for managing interruptibility on wearables. WearSys@MobiSys 2018: 27-32 - [c73]Chulhong Min, Akhil Mathur, Fahim Kawsar:
Audio-Kinetic Model for Automatic Dietary Monitoring with Earable Devices. MobiSys 2018: 517 - [c72]Claudio Forlivesi, Marc Van den Broeck, Utku Günay Acer, Fahim Kawsar:
On-Wearable AI to Model Human Interruptibility. MobiSys 2018: 520 - [c71]Fahim Kawsar, Chulhong Min, Akhil Mathur, Marc Van den Broeck, Utku Günay Acer, Claudio Forlivesi:
eSense: Earable Platform for Human Sensing. MobiSys 2018: 541 - [c70]Chulhong Min, Mohammed Alloulah, Fahim Kawsar:
An early resource characterisation of wi-fi sensing on residential gateways. BuildSys@SenSys 2018: 140-143 - [c69]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 - [i1]Mohammed Alloulah, Anton Isopoussu, Chulhong Min, Fahim Kawsar:
On Tracking the Physicality of Wi-Fi: A Subspace Approach. CoRR abs/1810.04302 (2018) - 2017
- [j10]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) - [j9]Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 157:1-157:27 (2017) - [j8]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) - [c68]Akhi