MobiUK Session Programme 2018

Last updated 11th September 2018 

First day - Wednesday 12 September 2018

9:00 Registration

9:30 Opening Remarks

        Cecilia Mascolo

9:40 First Session: Machine Learning 1 (4+1 talks)

        Session Chair: Sarah Clinch

• Statistical Deep Model Pruning 

Filip Svoboda and Nicholas Lane

• Unsupervised learning in human activity recognition using wrist-sensing data 

Lu Bai, Chris Yeung and Christos Efstratiou

• Multimodal Deep Learning for Activity and Context Recognition 

Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo,

Mahesh K. Marina and Fahim Kawsar

• Overview and Future Directions of Deep Learning Model Compression 

Edgar Liberis and Nicholas Lane

• Using Model Distillation for On-Demand Fine-Tuning of Deep Models [short]

Milad Alizadeh and Nicholas Lane

10:45 Coffee Break

11:15 Second Session: Security & Privacy 1 (4 talks)

Session Chair: Manesh K. Marina

• Unfit for Purpose? A Security and Privacy Analysis of the Fitbit Tracking System 

Paul Patras

• On Choosing Between Privacy Preservation Mechanisms for Mobile Trajectory Data Sharing

Rajkarn Singh, George Theodorakopoulos, Mahesh Marina and Myrto Arapinis

• Quantifying Privacy Loss of Human Mobility Graph Topology

Dionysis Manousakas, Cecilia Mascolo, Alastair R. Beresford, Dennis Chan, and Nikhil Sharma

• How Secure is End-to-End Encrypted Messaging? The problem with the trust establishment infrastructure 

Diana A. Vasile and Alastair R. Beresford

12:30 Lunch

13:30 Third Session: Health (5+1 talks)

Session Chair: Katayoun Farrahi

• Monitoring Parkinson’s Disease Progression using Smartphones and Behavioural Inferences 

Julio Vega, Caroline Jay, Markel Vigo and Simon Harper

• Private-by-Design Mobile Health Applications through On-Device Processing

Sandra Servia-Rodríguez and Cecilia Mascolo

• Anticipatory Monitoring of Psychological States through the Analysis of Mobility Data 

Abhinav Mehrotra and Mirco Musolesi

• Thermostat wars and office politics: Digital interventions in workplace thermal comfort

Kathlyne New, Oliver Bates, Mike Hazas, Adam Tyler, Alexandra Gormally, Kelly Widdicks & Adrian Friday

• Challenges in Detecting Epileptic Seizures through Wrist-Worn Sensing Devices

Moyra Chikomo, Christos Efstratiou, Jim Ang and Lucy Bai

• Deep Multi-modal Glucose Level Prediction [short] 

Julia Gomes and Nicholas Lane

15:00 Coffee Break

15:30 Fourth Session: Data (6 talks)

Session Chair: Christos Efstratiou

• What about data demand? Bringing the issue of Internet growth to the mobile, wearable and ubiquitous systems community

Kelly Widdicks, Oliver Bates, Kathlyne New, Mike Hazas & Adrian Friday

• Deterministic Data Structures for Efficient Embedded Deep Learning Architectures 

Javier Fernández-Marqués, Sourav Bhattacharya and Nicholas Lane

• Localisation Systems Repository: A Platform for Open-source Localisation Systems and Training Datasets

Ion Emilian Radoi, Valentin Radu and Panagiota Katsikouli

• Viewer-Centric Analytics for Display Saturated Environments 

Mateusz Mikusz and Nigel Davies

• Automerge: Real-time data sync between edge devices

Martin Kleppmann and Alastair R. Beresford

• Uncovering Mobile Infrastructure in Developing Countries with Crowdsourced Measurements 

Mah-Rukh Fida and Mahesh K. Marina

17:15 End

19:00 Drinks reception at Jesus College

19:30 Dinner at Jesus College

Second Day - Thursday 13 September 2018

09:00 Registration

09:15 Fifth Session: Security & Privacy 2 (3+1 talks)

        Session Chair: Alastair Beresford

• Efficient, privacy aware federated model sharing

Andreas Grammenos, Cecilia Mascolo and Jon Crowcroft

• Towards Explainable Machine Learning for Privacy-aware Location Tracking 

Benjamin Baron and Mirco Musolesi

• When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts 

Simon Eberz, Giulio Lovisotto, Andrea Patane', Marta Kwiatkowska, Vincent Lenders and Ivan Martinovic

• Highly Efficient Privacy-Preserving Key Agreement for Wireless Body Area Networks [short]

Haibat Khan, Benjamin Dowling and Keith M. Martin 

10:30 Coffee Break

11:00 Industry Session

• Mobile, Wearable and Ubiquitous Systems from an Industrial Research Lab Perspective

Steve Hodges (Microsoft Research, Cambridge)

• Earables for Personal-scale Behaviour Analytics

Fahim Kawsar (Nokia Bell Labs, Cambridge)

• Google Fit Research

Robert Harle (Google)

• Hierarchical binary CNNs for landmark localization with limited resources

Georgios (Yorgos) Tzimiropoulos (Samsung)

12:30 Lunch

13:30 Sixth Session: Applications (4+2 talks)

        Session Chair: Nigel Davies

• Enable Ambient Intelligence in IoT systems via Cross-modality Solutions 

Xiaoxuan Lu, Andrew Markham and Niki Trigoni

• Detecting Social Interactions using Multi-Modal Mobile Sensing 

Kleomenis Katevas, Katrin Hansel, Richard Clegg, Ilias Leontiadis, Hamed Haddadi and Laurissa Tokarchuk

• Aspects of Using Wearables in Affective and Social Research Contexts 

Katrin Hänsel

• Investigating the design space of using mobile devices for supporting language and communication skills in primary school 

Elisa Rubegni.

• Ubiquitous embodied learning with e-textiles [short]

Adriana Wilde and Olivia Ojuroye

• Context Aware Drone Mobility for Area Survey [short]

Alessandro Montanari, Fredrika Kringberg, Alice Valentini, Cecilia Mascolo and Amanda Prorok

15:00 Coffee Break

15:30 Seventh Session: Machine Learning 2 (4+2 talks)

        Session Chair: Nic Lane

• Mining popular routes in urban environments 

Panagiota Katsikouli, Maria Sinziana Astefanoaei and Rik Sarkar

• Deep Sequence Learning on Mobile Data for Mood Prediction 

Dimitris Spathis, Sandra Servia-Rodriguez, Katayoun Farrahi, Cecilia Mascolo and Jason Rentfrow

• Exploring the Deep Learning Inference Stack for Resource Constrained Devices 

Valentin Radu, Jack Turner, Jose Cano, Elliot Crowley, Michael O'Boyle and Amos Storkey

• End-to-End Machine Learning for Smartphone-based Indoor Localization and Tracking using Recurrent Neural Networks 

Xijia Wei and Valentin Radu

• Deep Generative Models for Human Activity Recognition [short]

Lakshmi Mukkawar and Katayoun Farrahi

• Deep and Dilated Residual Networks for Human Activity Recognition [short]

Enrique Marquez, Katayoun Farrahi, Jonathon Hare, and Mahesan Niranjan

17:00 Concluding Remarks

17:15 End