I am an Associate Professor/Reader in the School of Informatics at the University of Edinburgh. I am also a Co-founder and CEO of Net AI, a university spin-out whose mission is to put mobile network management on autopilot in the cloud.
I lead the Mobile Intelligence Lab and the Informatics Internet of Things research programme. I am a member of the Institute for Computing Systems Architecture (ICSA) and I am also affiliated to the Security & Privacy group.
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 networked systems. I focus on problems related to artificial intelligence in mobile networks, traffic analytics, performance optimisation, security and privacy, prototyping and test beds.
10 November, 2021 – I gave a tech talk about how to harness the power of AI for mobile traffic analysis at OREDATA.
20 October, 2021 – Spoke about my team's research on AI-driven mobile traffic analytics at the MIT CINCS / Hamilton Institute Seminar series.
14 September, 2021 – I had the pleasure to chair the Research and Innovation Scotland panel session at the SICSA Conference where colleagues across different research pools shared their experiences of adapting research focus and methods during lockdown.
16 August, 2021 – Work with Yini Fang, Alec Diallo, and Chaoyun Zhang on sparse mobile traffic measurement and reconstruction using DRL has been accepted at IEEE Globecom 2021.
1 July, 2021 – My student Alec Diallo won the Brendan Murphy Prize at the 33rd Multi-Service Networks workshop.
24 June, 2021 – I gave a keynote entitled &nquot;Can we trust AI to secure our edge?&nquot; at the 1st Workshop on Security and Privacy for Mobile AI (MAISP) co-located with ACM MobiSys 2021.
4 June, 2021 – Work with colleagues at IDCOM on Deep Reinforcement Learning-Based Beam Training for Spatially Consistent Millimeter Wave Channels accepted at PIMRC '21.
12 May, 2021 – My student Alec Diallo presented our paper "Adaptive Clustering-based Malicious Traffic Classification at the Network Edge" at IEEE INFOCOM. The source code of the implementation is available on GitHub.
Work with the CoronaSurveys team on monitoring and forecasting the incidence of Covid-19 using open surveys was featured in Business Wire, Bloomberg, BioSpace, Science X, Datanami, La Razon, Republica, Tele Madrid, Madri+d, Cope, Ambientum, Catalunya Vanguardista, Leganes Activo, Globo Rural, Publico Surgiu, RedibInforma, and Liverpool Noise.
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, Tencent, NetEase, SINA, and Sohu.com.
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).
Y. Fang, A. Diallo, C. Zhang, and P. Patras, "Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction" to appear in Proc. IEEE Globecom 2021.
M. Michaelides, C. Sengul, and P. Patras, "An Experimental Evaluation of MQTT Authentication and Authorization in IoT" to appear in Proc. ACM WiNTECH 2021.
Narengerile, J. Thompson, P. Patras, and T. Ratnarajah, "Deep Reinforcement Learning-Based Beam Training for Spatially Consistent Millimeter Wave Channels" in Proc. IEEE PIMRC 2021.
A. Diallo and P. Patras, "Adaptive Clustering-based Malicious Traffic Classification at the Network Edge", in Proc. IEEE INFOCOM 2021.
C. Zhang, M. Fiore, I. Murray, and P. Patras, "CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting", in Proc. AAAI 2021.
C. Zhang, X. Costa-Perez, and P. Patras, "Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems", ACM CCSW 2020.
C. Zhang, M. Fiore, C. Ziemlicki, and P. Patras, "Microscope: Mobile Service Traffic Decomposition for Network Slicing as a Service", ACM MobiCom 2020.
C. Fiandrino, C. Zhang, P. Patras, A. Banchs, and J. Widmer, "A Machine Learning-based Framework for Optimizing the Operation of Future Networks," in IEEE Communications Magazine (Data Science and Artificial Intelligence for Communications Series), vol. 58, no. 6, June 2020.
M. Cominelli, F. Gringoli, M. Lind, P. Patras and G. Noubir, "Even Black Cats Cannot Stay Hidden in the Dark: Full-band De-anonymization of Bluetooth Classic Devices," IEEE S&P 2020.
Rupen's research interests are at the intersection of networked systems, Internet measurements, and security. Previously, he worked with Nokia Siemens Networks and Ericsson.
Luyang Xu, Computer Network Information Center, Chinese Academy of Sciences, Nov. 2020 –Oct. 2021.
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.
Currently, I am not taking any new PhD students.
The course gives students theoretical and practical grounding in IoT, covering systems architecture, hardware platforms, embedded programming and debugging, networking paradigms for IoT, secure operation, cloud integration, and simple data analytics.
The course offers an in-depth, sustained experience in the classroom to fourth-year students contemplating a career in education.
The course exposed students to the problems that arise with the design and implementation of large scale computer systems, and to methods of coping with such problems.
This course allowed undergraduate students to participate in a research project in collaboration with a member of staff or a research group.
This course introduced the principles of computer networking using a top down approach, from the application layer and working down toward the physical layer (delivered at Maynooth University).
This course covered advanced concepts, principles and theory related to network-centred computing (delivered at University Carlos III of Madrid).
Random things I (re)tweet.
Thoughts on science and technology I (occasionally) share(d) on my blog.
Topics I follow and questions I answer(ed) on Quora.
Music I listened to before Spotify became a thing.
If you are into chess, you can challenge me on gameknot.
EMAIL: paul [dot] patras [at] ed.ac.uk
PHONE: +44 (0)131-650-4408
ADDRESS: Room 1.22A, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.