I am a Reader (Associate Professor) and Chancellor's Fellow in the School of Informatics at the University of Edinburgh and a member of the Institute for Computing Systems Architecture (ICSA). I am also affiliated to the Security & Privacy group and I lead the Informatics Internet of Things research programme. Before joining Edinburgh, I was a research fellow at the Hamilton Institute of the National University of Ireland, Maynooth. Between 2007–2011 I was a research assistant at IMDEA Networks (Madrid Institute for Advanced Studies in Networks). I held visiting research positions at the University of Brescia (2017, 2015), Northeastern University (2016), Technical University Darmstadt (2016), and Rice University (2010).
My research seeks to bridge the gap between fundamental mathematical models and real-world applications of computer networks. I focus on problems related to performance optimisation in wireless and mobile networks, applied machine learning, mobile traffic analytics, security and privacy, prototyping and test beds.
My CV is available here.
- 6 November, 2019 – Speaking at the SCOttish Networking Event (SCONE) in St Andrews.
- 18 October, 2019 – Honoured to give the 2019 Ian Dangerfield Lecture at the Hamilton Institute, Ireland.
- 2-3 September, 2019 – Lecturing at the Summer School on Machine Learning for Communication Systems and Networks hosted by Trinity College Dublin.
- 9 July, 2019 – Presenting our paper "Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories" in Special Session #1: Measurements for networking: Traffic monitoring and Performance analysis at IEEE M&N 2019.
- 4-5 July, 2019 – The 31st Next Generation Networking, Multi-Service Networks workshop.
- 2 July, 2019 – Speaking at the 2nd UK Mobile, Wearable and Ubiquitous Systems Research Symposium about our work on the security of home automation systems.
- 20-21 May, 2019 – 11th IMDEA Networks Annual International Workshop – Networking Research: Present, Future and Beyond.
- 13-14 May, 2019 – Invited speaker at the Innovation & Research Symposium organised by Cisco and Ecole Polytechnique in Paris.
- 24 April, 2019 – Adela Rotar presented further research into th security of health trackers at the Cyber Security, Privacy, And Trust Showcase, part of Cyber Scotland Week.
- 13 April, 2019 – Participated in a panel discussion with the topic "Health Trackers: Help or Hindrance?" at the Edinburgh Science Festival.
- 12 April, 2019 – Spoke on the BBC Radio Scotland's Newsdrive show about the security and privacy risks facing wearable technology users.
Our security and privacy investigation of the Belkin WeMo ecosystem featured in The National, The Herald, Phys.org, Technology.org, ECN Mag, tekk.tv, qianjia.com, The Edinburgh Reporter, Edinburgh Live, Scottish Construction Now, Scottish Housing News. Forth Radio also ran a short interview with me about this work.
Our research on the vulnerabilities of fitness trackers featured in The Times, The Telegraph, International Business Times, Huffington Post, New York Post, The Scotsman, STV News, Yorkshire Post, The Northern Echo, Channel News, Market Watch, SC Magazine, The Inquirer, CORDIS News, Homeland Security News Wire, China Press, Xinhua News, China Industrial Control Network, Shenzhen News Network, Photoelectric News Network, Hong Kong News, Indo-Asian News Service, The Economic Times, The Hindu, Businessworld India, The New Indian Express, The Pioneer, domain-b.com, HackRead, Techworm, V3, texnologia.net, Gears of Biz, Infosecurity Magazine, Third Age, Phys.org, ECN Mag, Digtial Journal, Gadgets & Wearables, DIGIT, EurekAlert!. The BBC Radio 4 Extra's Newsjack show mentioned us in their satire on fitness tracking (season 17, episode 2). I also gave an interview about our research to BBC Radio Scotland for the Newsdrive show (12/04/2019).
Our survey of deep learning in mobile and wireless networks has been picked up by Chinese media and was covered in The Heart of the Machine, Trencent, NetEase, SINA, and Sohu.com.
- M. Cominelli, P. Patras, F. Gringoli, "Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System", ACM WiNTECH 2019.
- C. Zhang, M. Fiore, P. Patras, "Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories", IEEE M&N 2019.
- R. Li, P. Patras, "Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls ", IEEE Trans. Mobile Comp., 2019.
- C. Zhang, P. Patras, H. Haddadi, "Deep Learning in Mobile and Wireless Networking: A Survey", IEEE Comm. Surveys & Tutorials, 2019.
- A. Garcia-Saavedra, P. Patras, V. Valls, X. Costa-Perez, D. J. Leith "ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum", IEEE Trans. Netw., Dec. 2018.
- R. Li, C. Zhang, P. Cao, P. Patras, J. S. Thompson, "DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls", Machine Learning for Networking (MLN) 2018. Best student paper award.
- F. Gringoli, P. Patras, C. Donato, P. Serrano, Y. Grunenberger, "Performance Assessment of Open Software Platforms for 5G Prototyping" IEEE Wireless Comms, Oct. 2018.
- J. Classen, D. Wegemer, P. Patras, T. Spink, and M. Hollick, "Anatomy of a Vulnerable Fitness Tracking System: Dissecting the Fitbit Cloud, App, and Firmware", ACM IMWUT, Mar. 2018.
- C. Zhang, P. Patras, "Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks", ACM MobiHoc 2018.
- C. Zhang, X. Ouyang, P. Patras, "ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network", ACM CoNEXT 2017.
Full list of publications available here.
- Automatic Threat Detection and Anomaly Counteraction in Home IoT (2019–present)
The number of Internet-connected devices is expected to reach 1 trillion by 2035 and a large fraction of these devices will become an integral part of households. This can improve the productivity and quality of life of their users, but also exposes them to new cyber security and privacy risks. Supported by the Centre of Excellence for Sensing and Imaging Systems and Internet of Things Technologies (CENSIS) and Arm, this project aims to design intelligent algorithms that can detect and counteract cyber threats originating from or targeting Internet of Things (IoT) devices in user homes, without requiring manual intervention.
- Wrasse: Riding Millimetre Radio Waves at Gigabit-per-second Speeds (2014–2018)
This project investigated decentralised access protocols tailored to the mm-wave spectrum, max-min fair mm-wave backhauling, utility maximisation in sliced backhauls, and association control in enterprise mm-wave networks.
- FLAVIA: FLexible Architecture for Virtualizable future wireless Internet Access (2011–2013)
FLAVIA is a successfully completed collaborative research project funded by the European Commission through a FP7-2009-ICT-5 grant. The team focused on exposing flexible programmable interfaces for commercial off-the-shelf wireless devices, that enable service customisation and performance optimisation through software-based exploitation of low-level operations and control primitives.
- CARMEN: CARrier grade MEsh Networks (2008–2010)
CARMEN is a successfully completed collaborative research project funded by the European Commission through a FP7-2008-ICT-1 grant. The objective was to designed a heterogeneous wireless mesh network architecture supporting carrier grade triple-play services for mobile/fixed network operators.
- Aboubacar Diallo (Ph.D.), The University of Edinburgh, 2023 (expected).
- Yini Fang (Ph.D.), The University of Edinburgh, 2023 (expected).
- Haoyu Liu (Ph.D.), The University of Edinburgh, 2023 (expected).
- Chaoyun Zhang (Ph.D.), The University of Edinburgh, 2020 (expected).
- Rui Li (Ph.D.), The University of Edinburgh, 2019. (now at Samsung AI)
- Sivaprakash Senapathi (M.Res.), The University of Edinburgh (co-supervised with Mahesh Marina), 2015. (now at J.P. Morgan)
- Stephen Waddell, University of Edinburgh, June–Aug 2019.
- Marco Cominelli, University of Brescia, July–Dec. 2018
- Adela Rotar, University of Edinburgh, May–July 2018.
- Haoyu Liu, University of Edinburgh, June–Sept. 2018.
- Ayush Bhardwaj, IIT Roorkee, June–Aug. 2018.
- Daniel Licciardello, University of Catania, Mar. 2016–May 2016.
- Chiara Capretti, University of Brescia, Sept. 2015–Dec. 2015.
- Nicolo Facchi, University of Brescia, Sept. 2014–Feb. 2015.
Students interested in undertaking a PhD under my supervision may find this advice helpful.
Conferences and Workshops I am currently involved with
- Big-DAMA 2019 - The 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks (9 Dec 2019, Orlando, Florida, USA).
- WCNC 2020 - The IEEE Wireless Communications and Networking Conference (6-9 April 2020, Seoul, South Korea)
- TMA 2020 - the 4thNetwork Traffic Measurement and Analysis Conference (10-12 June 2020, Berlin, Germany)
- SECON 2020 - The 17th IEEE International Conference on Sensing, Communication and Networking (June 2020, Como, Italy.)
- ISWCS 2020 - The 17th International Symposium on Wireless Communication Systems (31 August - 2 Sept. 2020, Berlin, Germany).
- EuroSys 2021 - The European Conference on Computer Systems ( 25-28 Apr. 2021, Edinburgh, UK).
Full list of scholarly activities available here.
- Spring 2020, Spring 2019, Spring 2018 – INFR11146: Internet of Things Systems, Security and the Cloud (IoTSSC)
- 2019-20 – INFR10077: Computing in the Classroom (w/ Judy Robertson)
- Fall 2016, Fall 2015, Fall 2014 – INFR09044/INFR09040: Computer Science Large Practical
- Fall 2015 – INFR09041: Undergraduate Research Practical
- Spring 2013 – EE402: Computer & Communications Networks (National University of Ireland Maynooth)
- Spring 2008, Spring 2009 – Network Infrastructure (University Carlos III of Madrid)
- Thoughts on science and technology I (occasionally) share on my blog.
- Topics I follow and questions I answer(ed) on Quora.
- Code I authored (a while ago) available on GitHub.
- Random things I (re)tweet.
- My photos on Flickr and 500px.
- (Some of the) music I listen to.
- If you are into chess, you can challenge me on gameknot.