Device Software Research

Intelligent, personal & multi-device experiences

Lab overview

We study the forms and intelligence of emerging mobile, IoT, and wearable devices. We are interested in the system and algorithmic challenges of building multi-sensory device platforms that learn, infer, and augment human behavior.

In a world beyond screens, batteries, and traditional forms, we're on a mission to unveil devices that resonate deeply with our very essence. These aren’t just gadgets - they'll become harmonious extensions of our very selves - seamlessly integrated into our physical, mental, and cognitive states. Such profound change demands reinventing device software design, development, deployment, and maintenance paradigms. Our research stands humbly at this intersection, questioning long-held beliefs and exploring the uncharted through four critical areas in our pursuit of pioneering future device technologies.

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Our people
APA style publications
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Our people

We are a tight-knit, multidisciplinary team of dreamers, thinkers, and creators. Together, we delve into the heart of device technologies, boldly tackling the pivotal challenges of tomorrow. It's about revolutionizing the way we interact with the world, one innovation at a time.

APA style publications

2025

Adiba Orzikulova, Diana A. Vasile, Chi Ian Tang, Fahim Kawsar, Sung-Ju Lee, Chulhong Min. "BioQ: Towards Context-Aware Multi-Device Collaboration with Bio-cues." To Appear in 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys 2025).
Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh. "PaPaGei: Open Foundation Models for Optical Physiological Signals." To Appear in the International Conference on Learning Representations (ICLR) 2025.
Sujin Han, Diana A. Vasile, Fahim Kawsar, Chulhong Min. "SecuWear: Secure Data Sharing Between Wearable Devices." To Appear in Workshop on Security and Privacy in Standardized IoT (SDIoTSec) 2025.
Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis, Sung-Ju Lee, Fahim Kawsar, and Mohammad Malekzadeh. "SoundCollage: Automated Discovery of New Classes in Audio Datasets." To Appear In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
Arnav M. Das, Chi Ian Tang, Fahim Kawsar, and Mohammad Malekzadeh. "PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision." To Appear In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
Harshvardhan C. Takawale, Yang Liu, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari. "Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds." To Appear In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
Jiatao Quan, Khaldoon Al-Naimi, Xijia Wei, Yang Liu, Fahim Kaswar, Alessandro Montanari, Ting Dang. "Cognitive Load Monitoring via Earable Acoustic Sensing." To Appear In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
C. Rajashekar Reddy, Vivian Dsouza, Ashok Samraj Thangarajan, Przemysław Pawełczak, Fahim Kawsar, Alessandro Montanari. "BioPulse: Towards Enabling Perpetual Vital Signs Monitoring using a Body Patch." To Appear In the International Workshop on Mobile Computing Systems and Applications (HotMobile), 2025.
Changmin Jeon, Taesik Gong, Juheon Yi, Fahim Kawsar, Chulhong Min. "Boosting Multi-DNN Inference on Tiny AI Accelerators with Weight Memory Virtualization." To Appear In the International Workshop on Mobile Computing Systems and Applications (HotMobile), 2025.

2024

Alessandro Montanari, Ashok Thangarajan, Khaldoon Al-Naimi, Andrea Ferlini, Yang Liu, Ananta Narayanan Balaji, and Fahim Kawsar. "OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning." 2024.
Fahim Kawsar, "Bridging the Health Divide" IEEE Pervasive Computing, vol. 23, no. 04, pp. 5-7, 2024.
Taesik Gong, Fahim Kawsar, Chulhong Min. "DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators" To appear in Advances in Neural Information Processing Systems (NeurIPS), 2024
Soumyajit Chatterjee, Abhirup Ghosh, Fahim Kawsar, Mohammad Malekzadeh. "Analysing Softmax Entropy Minimization for Adaptating Multitask Models at Test-time." To appear in Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability, at NeurIPS 2024.
Arnav Mohanty Das, Chi Ian Tang, Fahim Kawsar, Mohammad Malekzadeh. "PRIMUS: Pretraining IMU Encoders with Multimodal and Self-Supervisied Learning." To appear in Workshop on Time Series in the Age of Large Models, at NeurIPS 2024.
Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh. "PaPaGei: Open Foundation Models for Optical Physiological Signals." To appear in Workshop on Time Series in the Age of Large Models, at NeurIPS 2024.
Kayla-Jade Butkow, Andrea Ferlini, Fahim Kawsar, Cecilia Mascolo, and Alessandro Montanari. "EarTune: Exploring the Physiology of Music Listening." In EarComp 2024: Fifth International Workshop on Earable Computing, at ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2024
Chulhong Min, Juheon Yi, Utku Gunay Acer, and Fahim Kawsar. "Argus: Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras." IEEE Transactions on Mobile Computing, 2024.
Diana Vasile, Fahim Kawsar, and Chulhong Min. "Emerging Paradigms in Wearable Security: Adaptable and Secure Sandboxing for On-the-Fly Collaboration Among Wearables." IEEE Security & Privacy, 2024.
Fahim Kawsar. "Beyond Pixels." IEEE Pervasive Computing, vol. 23, no. 01, pp. 4-6, 2024.
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar. "Using Self-supervised Learning Can Improve Model Fairness." Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024.
SiYoung Jang, Fahim Kawsar, Chulhong Min. "Thermal Characterization of AI Applications on AI Accelerators-equipped Microcontrollers." In Proceedings of the 2024 Workshop on Body-centric Computing Systems, 2024
Ryuhaerang Choi, Soumyajit Chattrerjee, Dimitris Spathis, Fahim Kawsar, Mohammad Malekzadeh. "Pushing the Decision Boundaries: Discovering New Classes in Audio Data" In ICLR Workshop on Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science, 2024
Dimitris Spathis, Fahim Kawsar. "The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models." Journal of the American Medical Informatics Association, 2024
Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, Alessandro Montanari. "Towards enabling DPOAE estimation on single-speaker earbuds." In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing, 2024
Soumyajit Chatterjee, Fahim Kawsar, and Mohammad Malekzadeh. "Test-time Training for Sensor Data Classification via Time-series Change Identification." In Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications (HotMobile), 2024
Mohammad Malekzadeh and Fahim Kawsar. "Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing." In Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications (HotMobile), 2024
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." In Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications (HotMobile), 2024
Berken Utku Demirel, Ting Dang, Khaldoon Al-Naimi, Fahim Kawsar, and Alessandro Montanari. "Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones." In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024
Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur, and Cecilia Mascolo. "Balancing Continual Learning and Fine-tuning for Human Activity Recognition." Human-Centric Representation Learning (HCRL) Workshop, the 38th Annual AAAI Conference on Artificial Intelligence, 2024
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, and Fahim Kawsar. "Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data." Human-Centric Representation Learning (HCRL) Workshop, the 38th Annual AAAI Conference on Artificial Intelligence, 2024
Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora Salim, and Akhil Mathur. "CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking." In Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024.
Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, and Akhil Mathur. "Kaizen: Practical self-supervised continual learning with continual fine-tuning." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Fahim Kawsar. "Generative AI and the Call for Brevity", IEEE Pervasive Computing 22, no. 03, 2023
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, and Sung-Ju Lee. "DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2023
Dimitris Spathis, Fahim Kawsar. "The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models", UbiComp Symposium GenAI4PC, 2023
Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, and Sung-Ju Lee. "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams", Conference on Neural Information Processing Systems (NeurIPS), 2023
Alessandro Montanari, Andrea Ferlini, Ananta Balaji, Cecilia Mascolo, Fahim Kawsar. "EarSet: A Multi-Modal Dataset for Studying the Impact of Head and Facial Movements on In-Ear PPG Signals", Nature Scientific Data, 2023
Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar. "The State of Algorithmic Fairness in Mobile Human-Computer Interaction", Conference on Mobile Human-Computer Interaction (MobileHCI), 2023
Khaldoon Al Naimi. "Ear-canal Characterisation for Optimum In-Ear Headset User Experience", ACM international joint conference on Pervasive and Ubiquitous Computing (UbiComp) Workshop EarComp, 2023
Chulhong Min, Akhil Mathur, Utku Gunay Acer, Alessandro Montanari, Fahim Kawsar. "SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices", ACM Transactions on Embedded Computing Systems (TECS), 2023
Berken Utku Demirel, Khaldoon Al-Naimi, Fahim Kawsar and Alessandro Montanari. "Cancelling Intermodulation Distortions for Otoacoustic Emission Measurements with Earbuds", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Shohreh Deldaril, Dimitris Spathis, Mohammad Malekzadeh, Fahim Kawsar, Flora D. Salim, Akhil Mathur. "Latent Masking for Multimodal Self-supervised Learning in Health Timeseries", International Conference on Machine Learning (ICML) Workshop ML4MHD, 2023
Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar and Akhil Mathur. "CENTAUR: Federated Learning for Constrained Edge Device", International Conference on Learning Representations (ICLR) Workshop ML4IoT, 2023
Ananta Balaji, Andrea Ferlini, Alessandro Montanari, Fahim Kawsar. "Stereo-BP: Non-invasive Blood Pressure Sensing with Earables", Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications (HotMobile), 2023
Bhawana Chhaglani, Utku Günay Acer, Si Young Jang, Fahim Kawsar, Chulhong Min. "Cocoon: On-body Microphone Collaboration for Spatial Awareness", Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications (HotMobile), 2023
Fahim Kawsar. "A New Beginning", IEEE Pervasive Computing 22, no. 01, 2023

2022

Jing Yang, Chulhong Min, Akhil Mathur, Fahim Kawsar. "SleepGAN: Towards Personalized Sleep Therapy Music", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Chulhong Min, Akhil Mathur, Alessandro Montanari, Fahim Kawsar. "SensiX: A System for Best-effort Inference of Machine Learning Models in Multi-device Environments", IEEE Transactions on Mobile Computing, 2022
Hoang Truong, Alessandro Montanari, Fahim Kawsar. "Non-Invasive Blood Pressure Monitoring with Multi-Modal In-Ear Sensing", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Abu Bakar, Tousif Rahman, Alessandro Montanari, Jie Lei, Rishad Shafik, Fahim Kawsar. "Logic-based Intelligence for Batteryless Sensors", 23rd Annual International Workshop on Mobile Computing Systems and Applications (HotMobile), 2022
Abu Bakar, Tousif Rahman, Alessandro Montanari, Rishad Shafik, Fahim Kawsar. "Adaptive Intelligence for Batteryless Sensors Using Software-Accelerated Tsetlin Machines", 20th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2022
Utku Gunay 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", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022
Ekdeep Singh, Ian Tang, Fahim Kawsar, Akhil Mathur. "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering", International Conference on Machine Learning (ICML), 2022
Yash Jain, Ian Tang, Chulhong Min, Fahim Kawsar, Akhil Mathur. "ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022
Hyunsung Cho, Fahim Kawsar, Akhil Mathur. "FLAME: Federated Learning Across Multi-device Environments", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022
Shkurta Gashi, Chulhong Min, Alessandro Montanari, Silvia Santini, Fahim Kawsar. "A Multi-device and Multi-modal Dataset for Human Energy Expenditure Estimation using Wearable Devices", Scientific Data, 2022
Arthur Moss, Hyunjong Lee, Lei Xun, Chulhong Min, Fahim Kawsar, Alessandro Montanari. "Ultra-low Power DNN Accelerators for IoT: Resource Characterisation of the MAX78000", Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (AIChallengeIoT), 2022

2021

Andrea Ferlini, Alessandro Montanari, Chulhong Min, Hongwei Li, Ugo Sassi,and Fahim Kawsar. "In-EarPPG for Vital Signs", IEEE Pervasive Computing, 2021
Manasa Kalanadhabhatta1, Chulhong Min, Alessandro Montanari and Fahim Kawsar . "FatigueSet: A Multi-modal Dataset for Modeling Mental Fatigue and Fatigability", The 15th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2021), December 2021.
Si Young Jang, Utku Gunay Acer, Chulhong Min and Fahim Kawsar . "Deploying Collaborative Machine Learning Systems in Edge with Multiple Cameras", The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2021), November 2021.
Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Gunay Acer, and Fahim Kawsar. "SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices", arXiv preprint arXiv:2109.03947
Jie Lei, Tousif Rahman, Rishad Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Akhil Mathur and Fahim Kawsar, . "Low-Power Audio Keyword Spotting using Tsetlin Machines", Journal of Low Power Electronics and Applications, 2021

2020

Alessandro Montanari, Manuja Sharma, Dainius Jenkus, Mohammed Alloulah, Lorena Qendro and Fahim Kawsar. "ePerceptive: Energy Reactive Embedded Intelligence for Batteryless Sensors", Proceedings of the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020), Tokyo & Cyber Space, November 2020
Chunjong Park, Chulhong Min, Sourav Bhattacharaya, Fahim Kawsar, . "Augmenting Conversational Agents with Ambient Acoustic Contexts", The 22nd International Conference on Human- Computer Interaction with Mobile Devices and Services (MobileHCI 2020), September 2020.
Youngjae Chang, Akhil Mathur, Junehwa Song, Fahim Kawsar, . "A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 4, Issue 1 and The 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2020), September 2020, Cancun, Mexico.
Akhil Mathur, Fahim Kawsar, Nadia Berthouze and Nicholas D. Lane . "LIBRI-ADAPT: A New Speech Dataset for Unsupervised Domain Adaptation", 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May, 2020, Barcelona, Spain.

2019

Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze and Nicholas D. Lane . "FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation", IEEE International Conference on Machine Learning and Applications, December 16-19, Boca Raton, Florida, USA.
Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur and Fahim Kawsar. "AudioDOS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models", IEEE International Conference on Machine Learning and Applications, December 16-19, Boca Raton, Florida, USA.
Chulhong Min, Alessandro Montanari, Akhil Mathur and Fahim Kawsar. "A Closer Look at Quality-Aware Runtime Assessment of Sensing Models in Multi-Device Environments", Proceedings of the 17th ACM Conference on Embedded Networked Sensor Systems (SenSys 2019), November 2019, New York, USA.
Mattia Antonini, Tran Huy Vu, Chulhong Min, Alessandro Montanari, Akhil Mathur and Fahim Kawsar. "Resource Characterisation of Personal-Scale Sensing Models on Edge Accelerators", Proceedings of the Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT), The 17th ACM Conference on Embedded Networked Sensor Systems (SenSys 2019), November 2019, New York, USA.
Utku Acer, Marc Van den Broeck, Claudio Forlivesi, Florian Heller and Fahim Kawsar. "Scaling Crowdsourcing with Mobile Workforce : A Case Study with Belgian Postal Service", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 3, Issue 2 and The 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2019), September 2019, London, UK.
Chulhong Min, Akhil Mathur, Alessandro Montanari, and Fahim Kawsar, . "An Early Characterisation of Wearing Variability on Motion Signals for Wearables", Proceedings of the 23rd ACM Annual International Symposium on Wearable Computers (ISWC 2019), September 2019, London, UK.
Shin Katayama, Akhil Mathur, Marc Van den Broeck, Tadashi Okoshi, Jin Nakazawa, and Fahim Kawsar. "Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables", 8th International Conference on Affective Computing and Intelligent Interaction (ACII 2019), September 2019, London, UK.
Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Robert Smith and Nicholas D. Lane "Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems", The 18th International Conference on Information Processing in Sensor Networks (IPSN '19), April 16-18, 2019 Montreal, Canada.
Seungchul Lee, Chulhong Min, Alessandro Montanari, Akhil Mathur, Youngjae Chang, Junehwa Song and Fahim Kawsar,. "Automatic Smile and Frown Recognition with Kinetic Earables", The 10th Augmented Human International Conference (AH 2019), March, 2019, Reims Champagne-Ardenne, France.

2018

Fahim Kawsar, Chulhong Min, Akhil Mathur, and Alessandro Montanari,. "Earables for Personal-scale Behaviour Analytics", IEEE Pervasive Computing, Volume: 17, Issue: 3, 2018
Jacky Bourgeois, Gerd Kortuem and Fahim Kawsar. "Trusted and GDPR-Compliant Research with the Internet of Things", The 8th International Conference on the Internet of Things (IoT 2018), October 2018, Santa Barbara, California, USA.
Chulhong Min, Mohammed Alloulah and Fahim Kawsar, . "An Early Resource Characterisation of Wi-Fi Sensing on Residential Gateways", In The 5th ACM International Conference on Systems for Built Environments (BuildSys 2018), November 2018, Shenzhen, China
Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D Lane, Cecilia Mascolo, Mahesh K Marina, Fahim Kawsar. "Multimodal Deep Learning for Activity and Context Recognition", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 1, Issue 4 and The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018), October 2018, Singapore.
Claudio Forlivesi, Marc Van den Broeck, Utku Acer and Fahim Kawsar . "Mindful Interruptions: A Lightweight System for Managing Interruptibility on Wearables", In WearSys 2018 Workshop @ The 16th ACM Conference on Mobile Systems, Applications, and Services (MobiSys 2018), June 2018 , Munich, Germany.
Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar V., Leonid Joffe, Nic Lane, Fahim Kawsar, Pietro Lio. "A Deep Data Augmentation Training Method to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices", The 17th International Conference on Information Processing in Sensor Networks (IPSN '18), April 11-13, 2018 Porto, Portugal.

2017

Marc Van den Broeck, Fahim Kawsar, and Johannes Schonning. "It's All Around You: Exploring 360° Video Viewing Experiences on Mobile Devices", ACM Multimedia 2017 (MM 2017), Mountain View, CA USA, October 2017
Xueli An Fahim Kawsar, and Utku Acer. "Profiling and Predicting User Activity on a Home Network", In 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2017), Melbourne, Australia” November 2017
Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi and Fahim Kawsar, . "Squeezing Deep Learning into Mobile and Embedded Devices", IEEE Pervasive Computing, Volume: 16, Issue: 3, 2017
Akhil Mathur, Lakshmi Manasa Kalanadhabhatta, Rahul Majethia, and Fahim Kawsar, . "Moving Beyond Market Research: Demystifying Smartphone User Behavior in India ", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 1, Issue 3 and The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017), September 2017 Hawaii, USA
Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, and Fahim Kawsar, . "DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware", The 15th ACM Conference on Mobile Systems, Applications, and Services (MobiSys 2017), June 2017, USA.

2016

Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, and Fahim Kawsar, . "DXTK : Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit", 8th EAI International Conference on Mobile Computing, Applications and Services (MobiCASE 16), Cambridge, UK December 2016
Afra Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Marc Godon, and Fahim Kawsar. "Understanding the Impact of Personal Feedback on Face-to-Face Interactions in the Workplace", The 18th ACM International Conference on Multimodal Interaction (ICMI 2016), Novemeber 2016, Tokyo, Japan [Best Paper Nominee]
Akhil Mathur, Nicholas D. Lane, and Fahim Kawsar. "Engagement-Aware Computing: Modelling User Engagement with Mobile Contexts", The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) , September 2016, Heidelberg, Germany
Afra Mashhadi, Utku Gunay Acer, Aidan Boran, Philipp M. Scholl, Claudio Forlivesi, Geert Vanderhulst and Fahim Kawsar. "Exploring Space Syntax on Entrepreneurial Opportunities with Wi-Fi Analytics",The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) , September 2016, Heidelberg, Germany
Afra Mashhadi, Akhil Mathur, Marc Van den Broeck, Geert Vanderhulst, Marc Godon, and Fahim Kawsar. "A Case Study on Capturing and Visualising Face-to-Face Interactions in the Workplace", The 18th International Conference on Human- Computer Interaction with Mobile Devices and Services (MobileHCI 2016), September 2016, Florence, Italy
Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran and Fahim Kawsar . "BodyScan: A Wearable Device for Contact-less Radio-based Sensing of Body-related Activities", The 14th ACM Conference on Mobile Systems, Applications, and Services (MobiSys 2016), July 2016 , Singapore
Afra Mashhadi, Sourav Bhattacharya, and Fahim Kawsar. "Understanding The Impact of Geographical Context on the Subjective Well-Being of Urban Citizens", The 2nd International Conference on IoT in Urban Space (Urb-IoT 2016), May 24-25, 2016, Tokyo, Japan
Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro and Fahim Kawsar. "DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices", The 15th International Conference on Information Processing in Sensor Networks (IPSN '16), 12- 14, April 2016 , Vienna, Austria.
Biyi Fang, Nicholas D. Lane, Mi Zhang and Fahim Kawsar. "HeadScan: A Wearable System for Radio-based Sensing of Head and Mouth-related Activities ", The 15th International Conference on Information Processing in Sensor Networks (IPSN '16), 12- 14, April 2016 , Vienna, Austria.