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.
- Ph.D. positions open for students with solid background in computer networks, security, and machine learning. Interested candidates should send their CV, research statement, transcript of records, and contact details of two referees to ppatras [at] inf.ed.ac.uk.
- 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.
- 15 March, 2019 – Haoyu Liu presented our recent work "Uncovering Security Vulnerabilities in the Belkin WeMo Home Automation Ecosystem" at the Third International Workshop on Security, Privacy and Trust in the Internet of Things (SPT-IoT), in conjunction with IEEE PERCOM 2019.
- 8 March, 2019 – Our Deep Learning in Mobile and Wireless Networking survey was accepted for publication in IEEE Communications Surveys & Tutorials.
- 6 March, 2019 – Talk at the workshop "Towards a New Era - AI in 5G" organised by the China Academy of Information and Communications Technology (CAICT) in collaboration with ITU in Shenzhen.
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.
- 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.
- 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)
- 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
- DCOSS 2019 - The International Conference on Distributed Computing in Sensor Systems (29-31 May, 2019, Santorini, Greece).
- WoWMoM 2019 - The IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (9-12 June, 2019, Washington DC, USA).
- IFIP WWIC 2019 - The 17th International Conference on Wired/Wireless Internet Communications (17-19 June, 2019, Bologna, Italy).
- TMA 2019 - The Network Traffic Measurement and Analysis Conference (19-21 June, 2019, Paris, France).
- WiNTECH 2019 - The ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (21 Oct, 2019, Los Cabos, Mexico).
- MASS 2019 - The IEEE International Conference on Mobile Ad-hoc and Sensor Systems (4-7 November 2019, Monterey, CA, USA).
Full list of scholarly activities available here.
- Spring 2019, Spring 2018 – INFR11146: Internet of Things Systems, Security and the Cloud (IoTSSC)
- 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.