MobiUK 2022 Programme

Monday 4th July

Talks: Gustave Tuck Lecture Theatre, Main UCL Building

Coffee breaks and lunch: South Cloisters, Main UCL Building




Invited speaker: Yvonne Rogers

Session Chair: Mirco Musolesi

Title: On Being Challenged

Bio: Yvonne Rogers is a Professor of Interaction Design, the director of UCLIC and a deputy head of the Computer Science department at University College London. Her research interests are in the areas of interaction design, human-computer interaction and ubiquitous computing. A central theme of her work is concerned with designing interactive technologies that augment humans. She was awarded the ACM SIGCHI Lifetime Achievement Research Award in 2022, “presented to individuals for outstanding contributions to the study of human-computer interaction.” In the same year, she was elected as a fellow of the Royal Society as “one of the leaders who created the field of Ubiquitous Computing”.


Paper session 1: Efficient and real-time on-device ML

Session Chair: Alastair Beresford

Xinchi Qiu, Javier Fernandez-Marques, Pedro Gusmao, Yan Gao, Titouan Parcollet and Nicholas Lane.

ZeroFL: Efficient On-device Training for Federated Learning with Local Sparsity

Lei Xun, Bashir Al-Hashimi, Jonathon Hare and Geoff Merrett

Dynamic DNNs meet Runtime Resource Management on Mobile and Embedded Platforms

Edgar Liberis and Nicholas D. Lane

Differentiable Network Pruning to Enable Smart Applications

Young D. Kwon, Jagmohan Chauhan and Cecilia Mascolo

MetaNet: Rehearsal-based Meta Continual Learning




Invited speaker: Alex Rogers

Session Chair: Christos Efstratiou

Title: Prototyping hardware at scale: lessons learned from Joulo, AudioMoth and SnapperGPS

Bio: Alex Rogers is a Professor of Computer Science at the University of Oxford where his research applies artificial intelligence and machine learning within physical sensor systems to address real-world problems focusing on sustainability. His work has addressed future energy systems, such as the smart grid, citizen science platforms, and most recently environmental monitoring through the development of low-cost conservation technology.


Paper session 2: Sensing and mobile health

Session Chair: George Roussos

Catherine Tong, Jinchen Ge and Nicholas Lane

Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings

Tong Xia, Jing Han, Lorena Qendro and Cecilia Mascolo

Evidential Deep Learning for Uncertainty-Aware Mobile Health

Yu Wu, Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas Gonzales, Nick Wareham, Soren Brage and Cecilia Mascolo

Weak Label Learning for Wearable Cardio-respiratory Fitness Prediction


Coffee break


Invited speaker: Bozidar Radunovic

Session Chair: Mahesh Marina

Title: What is it and shy should we care?

Bio: Bozidar Radunovic is a Principal Researcher in the Azure for Operators Research, in Cambridge, UK. His research interests are in designing and building next generation 5G infrastructure on cloud and edge. He has performed research on computer systems and algorithms with particular interest in access networks, virtualization and wireless communications. Bozidar received his PhD in technical sciences from EPFL.


Reception (in Haldane Room, Main UCL Building)

Tuesday 5th July

Talks: Gustave Tuck Lecture Theatre, Main UCL Building

Coffee breaks and lunch: North Cloisters, Main UCL Building


Invited Speaker: Kate Farrahi

Session Chair: Nic Lane

Title: Machine learning for mobile health and digital epidemics

Bio: Kate Farrahi is an assistant professor at the University of Southampton working in the vision, learning and control (VLC) group. The focus of her research is on machine learning, particularly deep learning often applied to health-related applications. She is interested in developing machine learning techniques to address novel sensor-driven healthcare problems, including natural language processing and vision related applications such as medical imaging and contactless vitals measurements. She obtained her PhD in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland.


Paper session 3: privacy as the first-class citizen

Session Chair: Chris Xiaoxuan Lu

Luis Adán Saavedra del Toro, Alastair R. Beresford, Hridoy S. Dutta and Alice Hutchings.

Analysis of Modded Android Apps and Marketplaces

Kai Xu.

Deep Generative Models for Synthesizing Mobile Traffic Data

Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernandez-Marques, Pedro P. B. de Gusmao, Daniel J. Beutel and Nicholas Lane.

End-to-End Speech Recognition from Federated Acoustic Models


Coffee break


Invited speaker: Hugo Spiers

Session Chair: Cecilia Mascolo

Title: Using a mobile app to study world-wide cognition

Bio: Hugo Spiers is Professor of Cognitive Neuroscience in the Department of Experimental Psychology and a Fellow of the Royal Institute of Navigation. His research explores how our brain constructs representations of the world and uses them to recall the past, navigate the present and imagine the future. Current research from his group use a range of methods including mass online testing with mobile apps, brain imaging, neuropsychological testing, virtual reality and single cell recording to understand brain function and spatial cognition.




Paper session 4: Vision and mobility

Session Chair: Kate Farrahi

Fangqiang Ding and Chris Xiaoxuan Lu.

Self-Supervised Learning of 4D Automotive Radar Scene Flow Estimation

Qiyue Xia and Chris Xiaoxuan Lu.

Robust Human Detection under Visual Degradation with Low-cost mmWave radars and thermal Cameras

Nicola Saccomanno, Andrea Brunello and Angelo Montanari. 

Improving the estimation of fingerprint spatial relationships via deep metric learning on continuous similarities

Fraser McLean, Leyang Xue, Chris Xiaoxuan Lu and Mahesh K. Marina.

Towards Edge-assisted Real-time 3D Segmentation of Large Scale LIDAR Point Clouds


Invited speaker: Fahim Kawsar

Session Chair: Mirco Musolesi

Title: Learning Challenges in Designing Multi-Device Experiences

Bio: Fahim Kawsar leads Pervasive Systems research at Nokia Bell Labs, Cambridge and holds a Mobile Systems Professorship in Computing Science at Glasgow. At his Cambridge lab, he studies forms and intelligence of multi-sensory devices to learn, infer and augment human behaviour in three application areas - Digital Health, Quantified Lifestyle and Smart Built Environment. At Glasgow, he is building up a new group to study system and algorithmic challenges of Mobile Systems.


Community discussion and concluding remarks