MobiUK 2019 Programme

Monday 1st July


Opening session (Nic Lane)


Invited talk: The Roaming Edge, Suman Banerjee, University of Wisconsin-Madison

Suman Banerjee is a Sheldon Lubar Professor in Computer Sciences at the University of Wisconsin-Madison and the founding director of the WiNGS laboratory which broadly focuses on research in wireless and mobile networking systems. He has published more than 100 technical papers in leading conferences and journals. He received his undergraduate degree from IIT Kanpur, and MS and PhD degrees from the University of Maryland. He is the inaugural recipient of the ACM SIGMOBILE Rockstar award and a recipient of the US National Science Foundation Career Award. His research has received paper awards from conferences such as ACM MobiCom, ACM CoNEXT, and IEEE Dyspan, and technology awards such as the grand prize in the Wisconsin Governor's Business Plan competition and an award at the Interdigital Innovation Challenge. He served as the chair of ACM SIGMOBILE from 2013 to 2017.


Coffee break


Paper session 1: Machine Learning I (4 long + 2 short)

Milad Alizadeh, Nicholas Lane and Yarin Gal. Evaluating Performance of Pruning Techniques Beyond Accuracy

Dionysis Manousakas, Cecilia Mascolo, Rik Sarkar and Trevor Campbell. Private On-device Learning via Bayesian Coresets

Javier Fernández-Marqués, Edgar Liberis, Filip Svoboda and Nicholas D. Lane. Hidden costs of deploying neural networks on microcontrollers

Jon Baker and Christos Efstratiou. Speaking2Me: Unsupervised Speaker Identification for Smartphones using Deep Learning

Xin Du, Katayoun Farrahi and Mahesan Niranjan. Cascade Transfer Learning on Human Activity Recognition [Short]

Poonam Yadav. Building Collaborative Trust in IoT - Shared Learning [Short]




Invited talk: When Robots Hit the Road: New Challenges in Multi-Vehicle Coordination, Amanda Prorok, University of Cambridge

Amanda Prorok is a University Lecturer in Cyber-Physical Systems at the Department of Computer Science and Technology, University of Cambridge, UK. Previously, she was a Postdoctoral Researcher in the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at the University of Pennsylvania, USA, where she worked on networked robotic systems. She completed her PhD at EPFL, Switzerland, where she addressed the topic of localization with ultra-wideband sensing for robotic networks. Her dissertation was awarded the Asea Brown Boveri (ABB) award for the best thesis at EPFL in the fields of Computer Sciences, Automatics and Telecommunications. Further awards include Best Paper Award at DARS 2018, Finalist for Best Multi-Robot Systems Paper at ICRA 2017, Best Paper at BICT 2015, and MIT Rising Stars 2015.


Paper session 2: Security & Privacy (5 long)

Michael Dodson, Alastair R Beresford and Daniel R Thomas. Cyber-physical systems: Classifying exposed devices

Diana Vasile, Martin Kleppmann, Daniel Thomas and Alastair R. Beresford. The problem of key authenticity in secure messaging

Beatrice Perez, Mirco Musolesi and Gianluca Stringhini. Fatal Attraction: Identifying Mobile Devices Through Electromagnetic Emissions

Shubham Aggarwal and Dionysis Manousakas. Traffic Monitoring using Differential Privacy

Peter Shaw, Mateusz Mikusz, Nigel Davies, Sarah Clinch and Christoph Dibak. Supporting Transparency and Privacy in Emerging IoT Environments


Coffee break


Paper session 3: Sensing - Algorithms and Applications (4 long + 2 short)

Jiexin Zhang, Alastair Beresford and Ian Sheret. SensorID: Sensor Calibration Fingerprinting for Smartphones

Andrea Ferlini and Cecilia Mascolo. In-Ear Aid for Speech Separation

Catherine Tong, Matthew Craner, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville, Eva Roitman and Nicholas D. Lane. Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Ubiquitous Sensing

Jittrapol Intarasirisawat, Chee Siang Ang, Luke Dickens, Christos Efstratiou and Rupert Page. Exploring the Touch and Motion Features in Game-Based Cognitive Assessments

Ibrahim Alghamdi, Christos Anagnostopoulos and Dimitrios P. Pezaros. Time-Optimized Task Offloading Decision Making in Mobile Edge Computing [Short]

Lorena Qendro, Jagmohan Chauhan and Cecilia Mascolo. Uncertainty Aware Mobile Sensing [Short]


Close of the first day


Reception at Balliol College


Dinner at Balliol College

Tuesday 2nd July


Invited Talk: Mindless Computing: Designing Technologies to Subtly Influence Behavior, Tanzeem Choudhury, Cornell University

Tanzeem Choudhury is an Associate Professor in Computing and Information Sciences at Cornell University and a co-founder of HealthRhythms Inc, a company whose mission is to add the layer of behavioral health into all of healthcare.. At Cornell, she directs the People-Aware Computing group, which works on inventing the future of technology-assisted wellbeing. Tanzeem received her PhD from the Media Laboratory at MIT. She has been awarded the MIT Technology Review TR35 award, NSF CAREER award, TED Fellowship, Kavli fellowship, ACM Distinguished Membership, and Ubicomp 10 year Impact Award.


Coffee break


Industry session

Markus Hoffmann, Nokia Bell Labs. Creating a Reality beyond the Real

Andrew Mundy, ARM. Title to come

Justin Philips, Google. The Challenge of Continuous Heart Rate Monitoring from Wearables




Invited talk:  Earables: Wearable Computing around the Ear, Romit Choudhury, University of Illinois at Urbana Champaign

Romit Roy Choudhury is a Jerry Sanders III AMD Scholar and Professor of ECE and CS at the University of Illinois at Urbana Champaign (UIUC). He joined UIUC from Fall 2013, prior to which he was an Associate Professor at Duke University. Romit received his PhD in the CS department of UIUC in Fall 2006. His research interests are in wireless networking, mobile sensing, and embedded systems. Along with his students, he received a few research awards, including the MobiSys Best Paper Award, UIUC Distinguished Alumni Award, ACM Sigmobile Rockstar Award, Hoffmann Krippner Award, etc. He was elevated to IEEE Fellow in 2018. More info at Romit's at Systems Networking Research Group (SyNRG).


Paper session 4: Mobile Data (4 long + 2 short)

Jovan Powar and Alastair R. Beresford. Releasing data as a risk management problem

Apinan Hasthanasombat. Towards Extracting Explanations from Mobile Data: Food Venues and Obesity in London

Kleomenis Katevas. The value of spending: Uncovering the money spending patterns that make people happy

Rajkarn Singh, Marco Fiore, Mahesh Marina, Alessandro Nordio and Alberto Tarable. Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale

Vatsal Mehta, Dr Vaibhav Gandhi and Dr. Glenford Mapp. Developing Traffic Prediction and Congestion Algorithms for a C-ITS network [Short]

Helen Oliver. Participatory Design Fiction as a Method for Innovation in Everyday Wearable IoT Systems [Short]


Coffee break


Paper session 5: Machine Learning II (5 long)

Andreas Grammenos, Cecilia Mascolo and Jon Crowcroft. On Device Federated PCA & Subspace Tracking

Catherine Tong, Vivek Kothari and Nicholas Lane. Topology Matters: Understanding How Network Topological Features Impact Graph Neural Networks

Valentin Radu and Yuan Wen. Concurrent Deep Neural Network Tasks on Constrained Devices

Gautham Krishna Gudur, Prahalathan Sundaramoorthy and Venkatesh Umaashankar. Handling Real-time Unlabeled Data in Activity Recognition using Deep Bayesian Active Learning and Data Programming

Haoyu Liu, Tom Spink and Paul Patras. Can You Trust Your Smart Home? Investigating the Security of Belkin WeMo Home Automation Systems


Closing remarks (chair for MobiUK 2020)