Prottoy: A Middleware for Sentient Environment. - Fahim Kawsar; Kaori Fujinami; Tatsuo Nakajima (EUC, 2005)

Augmenting everyday life with sentient artefacts. - Fahim Kawsar; Kaori Fujinami; Tatsuo Nakajima (sOc-EUSAI, 2005)

Design and Implementation of a Software Infrastructure for Integrating Sentient Artefact. - Fahim Kawsar; Kaori Fujinami; Tatsuo Nakajima (MobiQuitous, 2005)

AwareMirror: A Personalized Display Using a Mirror. - Kaori Fujinami; Fahim Kawsar; Tatsuo Nakajima (Pervasive, 2005)

Experiences with Developing Context-Aware Applications with Augmented Artefacts. - Fahim Kawsar; Kaori Fujinami; Tatsuo Nakajima (ubiPCMM, 2005)

Exploiting Passive Advantages of Sentient Artefacts. - Fahim Kawsar; Kaori Fujinami; Tatsuo Nakajima (UCS, 2006)

Persona: a portable tool for augmenting proactive applications with multimodal personalization support. - Fahim Kawsar; Tatsuo Nakajima (MUM, 2007)

A lightweight indoor location model for sentient artefacts using sentient artefacts. - Fahim Kawsar; Kaori Fujinami; Tatsuo Nakajima (SAC, 2007)

DroPicks - A Tool for Collaborative Content Sharing Exploiting Everyday Artefacts. - Simo Hosio; Fahim Kawsar; Jukka Riekki; Tatsuo Nakajima (UCS, 2007)

Text Beautifier: An Affective-Text Tool to Tailor Written Text. - Fahim Kawsar; Shaikh Mostafa Al Masum; Mitsuru Ishizuka (AAAI, 2008)

An Experience with Augmenting a Mirror as a Personal Ambient Display. - Kaori Fujinami; Fahim Kawsar (APCHI, 2008)

A Document Based Framework for Smart Object Systems. - Fahim Kawsar; Tatsuo Nakajima; Jong Hyuk Park 001; Young-Sik Jeong (FGCN (1), 2008)

Deploy spontaneously: supporting end-users in building and enhancing a smart home. - Fahim Kawsar; Tatsuo Nakajima; Kaori Fujinami (UbiComp, 2008)

End user tool for deploying smart object systems. - Fahim Kawsar; Tatsuo Nakajima (MobiQuitous, 2008)

A document centric approach for supporting incremental deployment of pervasive applications. - Fahim Kawsar; Tatsuo Nakajima; Kaori Fujinami (MobiQuitous, 2008)

Exploring The Design of a Memory Model for Smart Objects. - Daniel Fitton; Fahim Kawsar; Gerd Kortuem (Intelligent Environments (Workshops), 2009)

A Document Centric Framework for Building Distributed Smart Object Systems. - Fahim Kawsar; Tatsuo Nakajima (ISORC, 2009)

Digital object memories in the internet of things workshop: (DOME-IoT 2010). - Michael Schneider 003; Alexander Kröner; Peter Stephan; Thomas Plötz; Fahim Kawsar; Gerd Kortuem (UbiComp (Adjunct Papers), 2010)

Designing Pervasive Interactions for Ambient Guidance with Situated Flows. - Fahim Kawsar; Gerd Kortuem; Bashar Altakrouri (Web Intelligence/IAT Workshops, 2010)

Supporting interaction with the Internet of Things across objects, time and space. - Fahim Kawsar; Gerd Kortuem; Bashar Altakrouri (IOT, 2010)

Market-based user innovation in the Internet of Things. - Gerd Kortuem; Fahim Kawsar (IOT, 2010)

An explorative comparison of magic lens and personal projection for interacting with smart objects. - Fahim Kawsar; Enrico Rukzio; Gerd Kortuem (Mobile HCI, 2010)

Flow-driven ambient guidance. - Gerd Kortuem; Fahim Kawsar; Bashar Altakrouri (PerCom Workshops, 2010)

Smart Objects as Building Blocks for the Internet of Things. - Gerd Kortuem; Fahim Kawsar; Vasughi Sundramoorthy; Daniel Fitton (IEEE Internet Comput., 2010)

A portable toolkit for supporting end-user personalization and control in context-aware applications. - Fahim Kawsar; Kaori Fujinami; Tatsuo Nakajima; Jong Hyuk Park 001; Sang-Soo Yeo (Multim. Tools Appl., 2010)

Design and implementation of a framework for building distributed smart object systems. - Fahim Kawsar; Tatsuo Nakajima; Jong Hyuk Park 001; Sang-Soo Yeo (J. Supercomput., 2010)

Empowering Elderly End-Users for Ambient Programming: The Tangible Way. - Johan Criel; Marjan Geerts; Laurence Claeys; Fahim Kawsar (GPC, 2011)

Prototyping Smart Objects for the Mass. - Geert Vanderhulst; Fahim Kawsar; Johan Criel; Lieven Trappeniers (HPCC, 2011)

International workshop on networking and object memories for the internet of things (NOMe-IoT 2011). - Chi Harold Liu; Alexander Kröner; Chris Speed; Pan Hui 001; Fahim Kawsar; Wenjie Wang; Dan Wang 002; Thomas Plötz; Boris Brandherm; Michael Schneider 003; Jens Haupert; Peter Stephan (UbiComp, 2011)

Exploring the Design Space for Situated Glyphs to Support Dynamic Work Environments. - Fahim Kawsar; Jo Vermeulen; Kevin Smith; Kris Luyten; Gerd Kortuem (Pervasive, 2011)

Special issue: Design and optimization for embedded and real-time computing systems and applications. - Zili Shao; Fahim Kawsar (J. Syst. Archit., 2011)

Digital object memories for the internet of things (DOMe-IoT). - Alexander Kröner; Jens Haupert; Chris Speed; Fahim Kawsar; Thomas Plötz; Daniel Schreiber (UbiComp, 2012)

Informing the design of situated glyphs for a care facility. - Jo Vermeulen; Fahim Kawsar; Adalberto Lafcadio Simeone; Gerd Kortuem; Kris Luyten; Karin Coninx (VL/HCC, 2012)

Ubiquitous computing for communications and broadcasting. - Jong Hyuk Park 001; Isaac Woungang; Jianhua Ma 002; Fahim Kawsar (Int. J. Commun. Syst., 2012)

Designing Ambient and Personalised Displays to Encourage Healthier Lifestyles. - Tatsuo Nakajima; Fahim Kawsar (Handbook of Ambient Assisted Living, 2012)

Home computing unplugged: why, where and when people use different connected devices at home. - Fahim Kawsar; A. J. Bernheim Brush (UbiComp, 2013)

Discovering and predicting user routines by differential analysis of social network traces. - Fabio Pianese; Xueli An; Fahim Kawsar; Hiroki Ishizuka (WOWMOM, 2013)

The Internet of Things: The Next Technological Revolution. - Mohamed Ali Feki; Fahim Kawsar; Mathieu Boussard; Lieven Trappeniers (Computer, 2013)

Situated Micro-displays for Activity-Aware Systems. - Esunly Medina; Fahim Kawsar; Roc Meseguer; Sergio F. Ochoa (HCI (21), 2014)

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

Exploring the design space for geo-fenced connected devices and services at home. - Geert Vanderhulst; Marc Van den Broeck; Fahim Kawsar (UbiComp Adjunct, 2014)

Human Data Interaction in IoT: The ownership aspect. - Afra J. Mashhadi; Fahim Kawsar; Utku Günay Acer (WF-IoT, 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)

Sensing WiFi network for personal IoT analytics. - Utku Günay Acer; Aidan Boran; Claudio Forlivesi; Werner Liekens; Fernando Pérez-Cruz; Fahim Kawsar (IOT, 2015)

An Autonomous Reputation Framework for Physical Locations based on WiFi Signals. - Afra J. Mashhadi; Geert Vanderhulst; Utku Günay Acer; Fahim Kawsar (WPA@MobiSys, 2015)

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

Detecting human encounters from WiFi radio signals. - Geert Vanderhulst; Afra J. Mashhadi; Marzieh Dashti; Fahim Kawsar (MUM, 2015)

CrumblR: Enabling proxemic services through opportunistic location sharing. - Geert Vanderhulst; Marzieh Dashti; Afra J. Mashhadi; Fahim Kawsar (PerCom Workshops, 2015)

An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Fahim Kawsar (IoT-App@SenSys, 2015)

Energy Efficient Scheduling for Mobile Push Notifications. - Utku Günay Acer; Afra J. Mashhadi; Claudio Forlivesi; Fahim Kawsar (EAI Endorsed Trans. Energy Web, 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)

Exploring space syntax on entrepreneurial opportunities with Wi-Fi analytics. - Afra J. Mashhadi; Utku Günay Acer; Aidan Boran; Philipp M. Scholl; Claudio Forlivesi; Geert Vanderhulst; Fahim Kawsar (UbiComp, 2016)

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

Towards multimodal deep learning for activity recognition on mobile devices. - Valentin Radu; Nicholas D. Lane; Sourav Bhattacharya; Cecilia Mascolo; Mahesh K. Marina; Fahim Kawsar (UbiComp 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 (ICMI, 2016)

HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities. - Biyi Fang; Nicholas D. Lane; Mi Zhang 002; Fahim Kawsar (IPSN, 2016)

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Lei Jiao 002; Lorena Qendro; Fahim Kawsar (IPSN, 2016)

Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Fahim Kawsar (IPSN, 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)

Grouve: Spontaneous Proximal Group Formation with Ultrasonic Sound Waves. - Debbie Gijsbrechts; Florian Heller; Johannes Schöning; Fahim Kawsar (MobiCASE, 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)

A Profiling System for Android Wear. - Ryuji Suzuki; Geert Vanderhulst; Fahim Kawsar (MobiCASE, 2016)

Capturing Personal and Crowd Behavior with Wi-Fi Analytics. - Utku Günay Acer; Geert Vanderhulst; Afra J. Mashhadi; Aidan Boran; Claudio Forlivesi; Philipp M. Scholl; Fahim Kawsar (WPA@MobiSys, 2016)

BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. - Biyi Fang; Nicholas D. Lane; Mi Zhang 002; Aidan Boran; Fahim Kawsar (MobiSys, 2016)

Poster: Towards Radio-based Sensing on Wearables. - Biyi Fang; Nicholas D. Lane; Mi Zhang 002; Aidan Boran; Fahim Kawsar (MobiSys (Companion Volume), 2016)

Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. - Nicholas D. Lane; Sourav Bhattacharya; Petko Georgiev; Claudio Forlivesi; Fahim Kawsar (MobiSys (Companion Volume), 2016)

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

Understanding the Impact of Geographical Context on Subjective Well-Being of Urban Citizens. - Afra J. Mashhadi; Sourav Bhattacharya; Fahim Kawsar (Urb-IoT, 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)

It's All Around You: Exploring 360° Video Viewing Experiences on Mobile Devices. - Marc Van den Broeck; Fahim Kawsar; Johannes Schöning (ACM Multimedia, 2017)

Profiling and Predicting User Activity on a Home Network. - Xueli An; Fahim Kawsar; Utku Günay Acer (MobiQuitous, 2017)

Can Mobile Workforce Revolutionize Country-Scale Crowdsourcing? - Utku Günay Acer; Marc Van den Broeck; Marc Godon; Claudio Forlivesi; Fahim Kawsar (WPA@MobiSys, 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)

Multimodal Deep Learning for Activity and Context Recognition. - Valentin Radu; Catherine Tong; Sourav Bhattacharya; Nicholas D. Lane; Cecilia Mascolo; Mahesh K. Marina; 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)

On Indoor Human Sensing Using Commodity Radar. - Mohammed Alloulah; Anton Isopoussu; Fahim Kawsar (UbiComp/ISWC Adjunct, 2018)

Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. - Sourav Bhattacharya; Alberto Gil C. P. Ramos; Fahim Kawsar; Nicholas D. Lane; Lynn M. Gionta; Joanne Manidis; Greg Silvesti; Matthieu Vegreville (UbiComp/ISWC Adjunct, 2018)

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)

WellComp 2018: First International Workshop on Computing for Well-Being. - Tadashi Okoshi; JeongGil Ko; Susanna Pirttikangas; Jin Nakazawa; Fahim Kawsar (UbiComp/ISWC Adjunct, 2018)

Trusted and GDPR-compliant research with the internet of things. - Jacky Bourgeois; Gerd Kortuem; Fahim Kawsar (IOT, 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)

Mindful interruptions: a lightweight system for managing interruptibility on wearables. - Claudio Forlivesi; Utku Günay Acer; Marc Van den Broeck; Fahim Kawsar (WearSys@MobiSys, 2018)

On-Wearable AI to Model Human Interruptibility. - Claudio Forlivesi; Marc Van den Broeck; Utku Günay Acer; Fahim Kawsar (MobiSys, 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)

An early resource characterisation of wi-fi sensing on residential gateways. - Chulhong Min; Mohammed Alloulah; Fahim Kawsar (BuildSys, 2018)

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

Beyond Testbeds: Real-World IoT Deployments. - Florian Michahelles; Fahim Kawsar; Simon Mayer; Luca Mottola (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)

The city as a personal assistant. - Utku Günay Acer; Marc Van den Broeck; Fahim Kawsar (UbiComp/ISWC Adjunct, 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)

Degradable inference for energy autonomous vision applications. - Alessandro Montanari; Mohammed Alloulah; Fahim Kawsar (UbiComp/ISWC Adjunct, 2019)

WellComp 2019: second international workshop on computing for well-being. - Tadashi Okoshi; Jin Nakazawa; JeongGil Ko; Fahim Kawsar; Susanna Pirttikangas (UbiComp/ISWC Adjunct, 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)

On Hyper-local Conversational Agents in Urban Settings. - Utku Günay Acer; Marc Van den Broeck; Fahim Kawsar (MCSS@MobiSys, 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)

On Tracking the Physicality of Wi-Fi: A Subspace Approach. - Mohammed Alloulah; Anton Isopoussu; Chulhong Min; Fahim Kawsar (IEEE Access, 2019)

Transformative Computing and Communication. - Moustafa Youssef 001; Fahim Kawsar (Computer, 2019)

Scaling Crowdsourcing with Mobile Workforce: A Case Study with Belgian Postal Service. - Utku Günay Acer; Marc Van den Broeck; Claudio Forlivesi; Florian Heller; Fahim Kawsar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

WellComp 2020: third international workshop on computing for well-being. - Tadashi Okoshi; Jin Nakazawa; JeongGil Ko; Fahim Kawsar; Susanna Pirttikangas (UbiComp/ISWC Adjunct, 2020)

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

Augmenting Conversational Agents with Ambient Acoustic Contexts. - Chunjong Park; Chulhong Min; Sourav Bhattacharya; Fahim Kawsar (MobileHCI, 2020)

ePerceptive: energy reactive embedded intelligence for batteryless sensors. - Alessandro Montanari; Manuja Sharma; Dainius Jenkus; Mohammed Alloulah; Lorena Qendro; Fahim Kawsar (SenSys, 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)

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

EarComp 2021: Second International Workshop on Earable Computing. - Fahim Kawsar; Robert Harle; Alessandro Montanari; Chulhong Min (UbiComp/ISWC Adjunct, 2021)

WellComp 2021: Fourth International Workshop on Computing for Well-Being. - Tadashi Okoshi; Jin Nakazawa; Jeong-Gil Ko; Fahim Kawsar; Susanna Pirttikangas (UbiComp/ISWC Adjunct, 2021)

Deploying Collaborative Machine Learning Systems in Edge with Multiple Cameras. - Si Young Jang; Utku Günay Acer; Chulhong Min; Fahim Kawsar (ICMU, 2021)

FatigueSet: A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability. - Manasa Kalanadhabhatta; Chulhong Min; Alessandro Montanari; Fahim Kawsar (PervasiveHealth, 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)

Vision Paper: Towards Software-Defined Video Analytics with Cross-Camera Collaboration. - Juheon Yi; Chulhong Min; 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)

Pervasive Video and Audio. - Fahim Kawsar; Romit Roy Choudhury; Ganesh Ananthanarayanan (IEEE Pervasive Comput., 2021)

Non-Invasive Blood Pressure Monitoring with Multi-Modal In-Ear Sensing. - Hoang Truong; Alessandro Montanari; Fahim Kawsar (ICASSP, 2022)

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

Contact-Free Vital Sign Estimation Using Ultra-Wide Band Radar. - Fahad Ayaz; Muhammed Shahzeb Khan; Sajjad Hussain; Waseem Ahmad; Fahim Kawsar; Muhammad Ali Imran 001; Ahmed Zoha (ICECS 2022, 2022)

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

Adaptive Intelligence for Batteryless Sensors Using Software-Accelerated Tsetlin Machines. - Abu Bakar; Tousif Rahman; Rishad A. Shafik; Fahim Kawsar; Alessandro Montanari (SenSys, 2022)

Ultra-Low Power DNN Accelerators for IoT: Resource Characterization of the MAX78000. - Arthur Moss; Hyunjong Lee; Lei Xun; Chulhong Min; Fahim Kawsar; Alessandro Montanari (SenSys, 2022)

Logic-based intelligence for batteryless sensors. - Abu Bakar; Tousif Rahman; Alessandro Montanari; Jie Lei; Rishad A. Shafik; Fahim Kawsar (HotMobile, 2022)

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

The City as a Personal Assistant: Turning Urban Landmarks into Conversational Agents for Serving Hyper Local Information. - Utku Günay Acer; Marc Van den Broeck; Chulhong Min; Mallesham Dasari; Fahim Kawsar (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)

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)

In-Ear PPG for Vital Signs. - Andrea Ferlini; Alessandro Montanari; Chulhong Min; Hongwei Li; Ugo Sassi; Fahim Kawsar (IEEE Pervasive Comput., 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)

Cancelling Intermodulation Distortions for Otoacoustic Emission Measurements with Earbuds. - Berken Utku Demirel; Khaldoon Al-Naimi; Fahim Kawsar; Alessandro Montanari (ICASSP, 2023)

The State of Algorithmic Fairness in Mobile Human-Computer Interaction. - Sofia Yfantidou; Marios Constantinides; Dimitris Spathis; Athena Vakali; Daniele Quercia; Fahim Kawsar (MobileHCI (Companion), 2023)

Stereo-BP: Non-Invasive Blood Pressure Sensing with Earables. - Ananta Narayanan Balaji; Andrea Ferlini; Fahim Kawsar; Alessandro Montanari (HotMobile, 2023)

Cocoon: On-Body Microphone Collaboration for Spatial Awareness. - Bhawana Chhaglani; Utku Günay Acer; Si Young Jang; Fahim Kawsar; Chulhong Min (HotMobile, 2023)

Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing. - Sofia Yfantidou; Marios Constantinides; Dimitris Spathis; Athena Vakali; Daniele Quercia; Fahim Kawsar (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)

Towards personalised music-therapy; a neurocomputational modelling perspective. - Nicole Lai; Marios G. Philiastides; Fahim Kawsar; Fani Deligianni (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)

The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models. - Dimitris Spathis; Fahim Kawsar (CoRR, 2023)

A New Beginning. - Fahim Kawsar (IEEE Pervasive Comput., 2023)

Generative AI and the Call for Brevity. - Fahim Kawsar (IEEE Pervasive Comput., 2023)

Toward Personalized Music-Therapy: A Neurocomputational Modeling Perspective. - Nicole Lai-Tan; Marios G. Philiastides; Fahim Kawsar; Fani Deligianni (IEEE Pervasive Comput., 2023)

On Goodness of WiFi Based Monitoring of Sleep Vital Signs in the Wild. - Kamran Ali; Mohammed Alloulah; Fahim Kawsar; Alex X. Liu (IEEE Trans. Mob. Comput., 2023)

EarSet: A Multi-Modal In-Ear Dataset. - Andrea Ferlini; Alessandro Montanari; Ananta Narayanan Balaji; Cecilia Mascolo; Fahim Kawsar (Zenodo, 2023)

EarSet: A Multi-Modal In-Ear Dataset. - Andrea Ferlini; Alessandro Montanari; Ananta Narayanan Balaji; Cecilia Mascolo; Fahim Kawsar (Zenodo, 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)

Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones. - Berken Utku Demirel; Ting Dang; Khaldoon Al-Naimi; Fahim Kawsar; Alessandro Montanari (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Energy Characterization of Tiny AI Accelerator-Equipped Microcontrollers. - Yushan Huang; Taesik Gong; Si Young Jang; Fahim Kawsar; Chulhong Min (HumanSys@SenSys, 2024)

Hierarchical Demand Based Resource Allocation for On-Device Inference. - Ashok Samraj Thangarajan; Fahim Kawsar; Alessandro Montanari (HumanSys@SenSys, 2024)

Towards Enabling DPOAE Estimation on Single-Speaker Earbuds. - Irtaza Shahid; Khaldoon Al-Naimi; Ting Dang; Yang Liu 101; Fahim Kawsar; Alessandro Montanari (ICASSP, 2024)

Using Self-supervised Learning Can Improve Model Fairness. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Athena Vakali; Daniele Quercia; Fahim Kawsar (KDD, 2024)

Thermal Characterization of AI Applications on AI Accelerators-equipped Microcontrollers. - Si Young Jang; Fahim Kawsar; Chulhong Min (BodySys@MobiSys, 2024)

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators. - Taesik Gong; Fahim Kawsar; Chulhong Min (NeurIPS, 2024)

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)

Poster: Test-time Training for Sensor Data Classification via Time-series Change Identification. - Soumyajit Chatterjee; Fahim Kawsar; Mohammad Malekzadeh (HotMobile, 2024)

Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing. - Mohammad Malekzadeh; Fahim Kawsar (HotMobile, 2024)

OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. - Julia Romero; Andrea Ferlini; Dimitris Spathis; Ting Dang; Katayoun Farrahi; Fahim Kawsar; Alessandro Montanari (HotMobile, 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)

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data. - Sofia Yfantidou; Dimitris Spathis; Marios Constantinides; Athena Vakali; Daniele Quercia; Fahim Kawsar (CoRR, 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)

Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs. - Taesik Gong; Si Young Jang; Utku Günay Acer; Fahim Kawsar; Chulhong Min (CoRR, 2024)

Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras. - Chulhong Min; Juheon Yi; Utku Günay Acer; Fahim Kawsar (CoRR, 2024)

Time-bound Contextual Bio-ID Generation for Minimalist Wearables. - Adiba Orzikulova; Diana A. Vasile; Fahim Kawsar; Chulhong Min (CoRR, 2024)

An AI-Native Runtime for Multi-Wearable Environments. - Chulhong Min; Utku Günay Acer; Si Young Jang; Sangwon Choi; Diana A. Vasile; Taesik Gong; Juheon Yi; Fahim Kawsar (CoRR, 2024)

OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning. - Alessandro Montanari; Ashok Thangarajan; Khaldoon Al-Naimi; Andrea Ferlini; Yang Liu 101; Ananta Narayanan Balaji; Fahim Kawsar (CoRR, 2024)

Emerging Paradigms in Wearable Security: Adaptable and Secure Sandboxing for On-the-Fly Collaboration Among Wearables. - Diana A. Vasile; Fahim Kawsar; Chulhong Min (IEEE Secur. Priv., 2024)

The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models. - Dimitris Spathis; Fahim Kawsar (J. Am. Medical Informatics Assoc., 2024)

Beyond Pixels. - Fahim Kawsar (IEEE Pervasive Comput., 2024)

Bridging the Health Divide. - Fahim Kawsar (IEEE Pervasive Comput., 2024)

The Effects of Physical Context on Collaborator Placement in Augmented Reality Meetings. - Diego Drago; Jacob Bhattacharyya; Fahim Kawsar; Stephen Anthony Brewster (CHI Extended Abstracts, 2025)

Exploring Avatar Seat Allocation Strategies in Social AR. - Diego Drago; Joseph O'Hagan; Fahim Kawsar; Stephen Anthony Brewster (CHI Extended Abstracts, 2025)

mmHvital: A Study on Head-Mounted mmWave Radar for Vital Sign Monitoring. - Yang Liu 047; Fahim Kawsar; Alessandro Montanari (HumanSys@SenSys, 2025)

SoundCollage: Automated Discovery of New Classes in Audio Datasets. - Ryuhaerang Choi; Soumyajit Chatterjee; Dimitris Spathis; Sung-Ju Lee; Fahim Kawsar; Mohammad Malekzadeh (ICASSP, 2025)

PRimuS: Pretraining IMU Encoders with Multimodal Self-Supervision. - Arnav M. Das; Chi Ian Tang; Fahim Kawsar; Mohammad Malekzadeh (ICASSP, 2025)

Cognitive Load Monitoring via Earable Acoustic Sensing. - Jiatao Quan; Khaldoon Al-Naimi; Xijia Wei; Yang Liu 101; Fahim Kawsar; Alessandro Montanari; Ting Dang (ICASSP, 2025)

Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds. - Harshvardhan Takawale; Yang Liu 101; Khaldoon Al-Naimi; Fahim Kawsar; Alessandro Montanari (ICASSP, 2025)

PaPaGei: Open Foundation Models for Optical Physiological Signals. - Arvind Pillai; Dimitris Spathis; Fahim Kawsar; Mohammad Malekzadeh (ICLR, 2025)

SPATIUM: A Context-Aware Machine Learning Framework for Immersive Spatiotemporal Health Understanding. - Yang Liu 047; SiYoung Jang; Alessandro Montanari; Fahim Kawsar (MobiSys, 2025)

Demo Abstract: Multimodal Bio-Sensing and On-Device Machine Learning: Advancing Health Perception with OmniBuds. - Yang Liu 047; Alessandro Montanari; Ashok Thangarajan; Khaldoon Al-Naimi; Andrea Ferlini; Ananta Narayanan Balaji; Fahim Kawsar (SenSys, 2025)

BioQ: Towards Context-Aware Multi-Device Collaboration with Bio-cues. - Adiba Orzikulova; Diana A. Vasile; Chi Ian Tang; Fahim Kawsar; Sung-Ju Lee; Chulhong Min (SenSys, 2025)

TinyMem: Boosting Multi-DNN Inference on Tiny AI Accelerators with Weight Memory Virtualization. - Changmin Jeon; Taesik Gong; Juheon Yi; Fahim Kawsar; Chulhong Min (HotMobile, 2025)

BioPulse: Towards Enabling Perpetual Vital Signs Monitoring using a Body Patch. - C. Rajashekar Reddy; Vivian Dsouza; Ashok Samraj Thangarajan; Przemyslaw Pawelczak; Fahim Kawsar; Alessandro Montanari (HotMobile, 2025)

Towards Enabling Perpetual Vital Signs Monitoring using a Body Patch. - C. Rajashekar Reddy; Vivian Dsouza; Ashok Samraj Thangarajan; Przemyslaw Pawelczak; Fahim Kawsar; Alessandro Montanari (HotMobile, 2025)

Carbon Is the New Latency: Reimagining Energy in Pervasive Systems. - Fahim Kawsar (IEEE Pervasive Comput., 2025)

Teaching Minds in the Age of Machines: Building Global AI Literacy for Every Classroom. - Fahim Kawsar (IEEE Pervasive Comput., 2025)

Listening to the Body: Rethinking Biosensing for the Next Era of Preventive Health. - Fahim Kawsar (IEEE Pervasive Comput., 2025)

Argus: Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras. - Juheon Yi; Utku Günay Acer; Fahim Kawsar; Chulhong Min (IEEE Trans. Mob. Comput., 2025)

Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables. - Taesik Gong; Si Young Jang; Utku Günay Acer; Fahim Kawsar; Chulhong Min (IEEE Trans. Mob. Comput., 2025)