About Me
I am a Professor of Mobile Intelligence in the School of Informatics at the University of Edinburgh. I am also a Co-founder and the CEO of Net AI, a university spin-out whose mission is to revolutionise network management via AI-driven analytics.
I lead the Mobile Intelligence Lab, 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. I held visiting research positions at the University of Brescia (2017, 2015), Northeastern University (2016), Technical University Darmstadt (2016), and Rice University (2010).
I hold Ph.D. and M.Sc. degrees in Telematics Engineering from University Carlos III of Madrid, and I am the first alumnus of IMDEA Networks (Madrid Institute for Advanced Studies in Networks). I obtained a Dipl.Eng. degree from the Technical University of Cluj-Napoca, Romania.
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 for network traffic analytics, performance optimisation, security and privacy, and explainability. I also work on high-speed data stream processing and have a growing interest in AI for biomedical innovation.
News
Ph.D. in Machine Learning Systems: The EPSRC-funded Centre for Doctoral Training in Machine Learning Systems will be accepting applications for four-year Ph.D. scholarships (details here). If you are motivated to solve hard problems in this space, please get in touch with me first.
Ph.D. in AI for Biomedical Innovation: The EPSRC-funded Centre for Doctoral Training in AI for Biomedical Innovation will be accepting applications for four-year Ph.D. scholarships. If you are interested in developing lightweight deep learning models for monitoring multiple sclerosis progression or mental/cognitive health decline, and you think you have the right skills, please get in touch with me first.
5 February, 2025 – Speaking at the EEE SPS 1st Winter School on AI for 6G Communications.
4 December, 2024 – Panel on 'Building AI and GenAI in 6G' at the 6G Evolution Summit.
19 November, 2024 – Workshop on the Future of UK Communications organised by DSIT along with the Government Office for Science.
7 November 2024, – Gave a keynote and spoke on a panel on entrepreneurship at IMDEA Networks Institute's first Alumni Workshop.
16 October, 2024 – Digitel Talk podcast episode in which I speak about cloud-native telcos is live.
9 October, 2024 – Spoke in the 'Accelerate' stream at Network X.
23 September, 2024 – Spoke with the passionate member of University of Edinburgh Entrepreneurs Society about my entrepreneurial journey.
7 July, 2024 – Extremely proud of my former PhD student (now postdoc) Alec Diallo who was awarded the SICSA Best Dissertation Award 2024.
24-25 June, 2024 – Inter-academy International Workshop on 'Future Communications and 6G'.
12 June, 2024 – Spoke on a panel on Digital Infrastructure: Future Network hosted by Digital Catapult part of London Tech Week.
30 May, 2024 – Invited talk at the United Nation's AI for Good Summit.
13 May, 2024 – My student Weihe Li and I received the best student paper award from WWW '24: The ACM on Web Conference, for our work "Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing".
9 May, 2024 – Conversation on How AI may change how humans operate in telecoms with Azita Arvani (formerly at Rakuten Symphony) and Monica Paolini (Senza Fili).
Media
Android OS Privacy
Research with Doug Leith (Trinity College Dublin) and my student Haoyu Liu on the privacy of different Android distributions was featured in EuroNews, Hacker News, The Register, Yahoo News, Fox News, Voice of America, Help Net Security, The Irish Times, Belfast Telegraph, Irish Examiner, IT World Canada, Asia Financial, DIGIT, Science X, Techdirt, RT, Newsmax, Texplore, India Education Daily, Hypertext, 91mobiles, BGR, Techstory, Heise (DE), Tarnkappe.info (DE), Clubic (FR), ICTjournal (FR), OK Diario (ES), Gigazine (JP), CityPortal (GR), Fastweb (IT), IlCitadinoOnline (IT), TuttoAndroid (IT), Tiroler Tageszeitung (AT), Evenimentul Zilei (RO), GRYOnline (PL), Kallxo (XK), Diario Libre (RD), Droidsans (Th).
Monitoring Covid-19 Incidence via Open Surveys
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.
Deep learning in mobile networks
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.
Smart-home security
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.
Wearable IoT security
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).
Publications
W. Li and P. Patras, "Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing", The Web Conference, 2024.
A. Diallo and P. Patras, "Cluster and Conquer: Malicious Traffic Classification at the Edge", IEEE Transactions on Network and Service Management, 2023.
H. Liu, A. Diallo, and P. Patras, "Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning", ACM CoNEXT 2023.
A. Diallo and P. Patras, "Sabre: Cutting through Adversarial Noise with Adaptive Spectral Filtering and Input Reconstruction" IEEE S&P Spring 2024.
W. Li and P. Patras, "Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size", ACM CIKM 2023.
A. Diallo and P. Patras, "Deciphering Clusters With a Deterministic Measure of Clustering Tendency", IEEE Transactions on Knowledge and Data Engineering, 2023.
W. Li and P. Patras "P-Sketch: A Fast and Accurate Sketch for Persistent Item Lookup", ACM/IEEE Transactions on Networking, 2023.
H. Liu, D.J. Leith, and P. Patras "Android OS Privacy Under the Loupe – A Tale from the East", ACM WiSec, 2023.
H. Liu, P. Patras, and D.J. Leith, "On The Data Privacy Practices Of Android OEMs", PLOS ONE, 2023.
L. Xu, H. Liu, J. Song, R. Li, Y. Hu, X. Zhou, and P. Patras, "TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks", Computer Networks, 2023.
Conferences/Workshops
TEAM
Alec Diallo (Postdoctoral Research Associated)
Alec is working on active intelligence in networked systems, including adversarial robustness, neural network explainability, and clustering analysis
Weihe Li (PhD student, 2021–2024)
Weihe's research focuses on developing new techniques for accurate detection of specific types of traffic flows in high-speed networks. He is partially funded by Cisco.
Visitors
Antonio Bazco, IMDEA Networks Institute, Jan. – Mar. 2025.
Francesco Cerasuolo, University of Naples Federico II, Oct. 2024 – Mar. 2025.
Prospective Students
Students interested in undertaking a PhD under my supervision may find this advice helpful.
Previous Post-doctoral Research Associates
Alexis Duque, 2020– 2021. (now at Net AI)
Previous Students
Haoyu Liu (PhD), The University of Edinburgh, 2023. (now at Net AI)
Rupen Mitra (MPhil), The University of Edinburgh, 2023 (now at Net Reply).
Yini Fang (MPhil), The University of Edinburgh, 2022 (now at Chinese University of Hong Kong)
Chaoyun Zhang (PhD), The University of Edinburgh, 2020. (now at Microsoft Research Asia)
Rui Li (PhD), The University of Edinburgh, 2019. (now at Samsung AI Centre Cambridge)
Interns
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.
COURSES
Internet of Things Systems, Security, and the Cloud (IoTSSC, 2018–2021)
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.
Computing in the Classroom (CiC, 2019–20)
The course offers an in-depth, sustained experience in the classroom to fourth-year students contemplating a career in education.
Computer Science Large Practical (CSLP, 2014–16)
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.
Undergraduate Research Practical (URP, 2015)
This course allowed undergraduate students to participate in a research project in collaboration with a member of staff or a research group.
Computer & Communications Networks (CCN, 2013)
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).
Network Infrastructure (NI, 2008–09)
This course covered advanced concepts, principles and theory related to network-centred computing (delivered at University Carlos III of Madrid).
Contact Me
EMAIL: paul [dot] patras [at] ed.ac.uk
ADDRESS: Room 1.22A, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK.
