CDT sudents collaborate on various research-related mini-projects (aka hackathons for those with a more competitive streak!). This blog shares an insight into one student's experiences of settling into the CDT (during a pandemic) and his experience taking part in his first CDT mini-project.
Read Matthew's blog to find out about a day in the life with the CDT in Distributed Algorithms.
Simon is the Director of the EPRSC Centre for Doctoral Training in Distributed Algorithms (CDT) at the University of Liverpool. The CDT plans to recruit up to 60 PhD students and train them to be future leaders of the next generation Data Science. Read our interview with Simon to discover the type of ‘unicorn’ he is looking for...
‘I see data as a tool for making decisions’: scientist Simon Maskell on tackling Covid-19
What are the key trends to take note of in the future of healthcare? How can the NHS improve its rates of adoption and integration?
The University’s expertise in data science has been recognised with a double success in the EPSRC’s “New Approaches to Data Science” funding call.
StanCon 2020, a 24-hour event with three main sessions spanning across different time zones (British Summer Time, Eastern Time and Pacific Time).
We are gathering momentum in our quest to prove that SMC algorithms can significantly outperform MCMC in speed and accuracy. Phil Clemson shares a quick summary of one of our key developments.
Check out some of our latest work in space surveillance, as summarised by PhD student Gemma Cook, who is working alongside Dstl.
Review the work PhD student, Conor Rosato, is working on with Simon Maskell and Dstl to outperform traditional MCMC methods.
John Heap, a member of the Computational Biology Facility, works alongside Prof Simon Maskell to produce a tool to track Covid-19 cases at the University of Liverpool. Here’s an overview of John's experience.
Professor Iain Buchan, Chair in Public Health and Clinical Informatics and Professor Simon Maskell, Professor of Autonomous Systems wrote about their experiences of analysing the spread of COVID in mass events.
The stark comparisons between a taught Masters and a postgraduate research position with the CDT alleviated many of my fears that the first year of this PhD programme would be a solo sprint and not the team marathon it has turned out to be...
A preprint submitted to Arxiv and submitted for peer-review, demonstrates how we are configuring the proposal for the No-U-Turn Sampler (NUTS) into a Sequential Monte Carlo (SMC) sampler.
Elinor features on the University of Liverpool's LivWISE website and she gives an insight into her role at the CDT and an overview of her interests in science and engineering.
The Distributed Algorithms CDT (DA CDT) at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read my journey with the DA CDT so far…
The Distributed Algorithms CDT works with Draken Europe to develop methods for creating realistic training programmes using data from both simulated and actual fighter jet missions.
A Bayesian model created by researchers at the University of Liverpool is being used by the UK Government to estimate the UK’s R number – the reproduction number – of COVID -19.
Conor Rosato, post doc researcher at the Signal Processing Group, shares his thoughts on his latest research work.
Oisín Boyle is a 2nd Year PhD student in the University’s Department of Electrical Engineering and Electronics and part of the CDT in Distributed Algorithms. His PhD is entitled: ‘Extracting Important Information from Noisy Spectra’.
The Distributed Algorithms CDT aims to recruit 60 PhD students over five cohorts. In October 2021 we welcomed Cohort 3.
Considering applying for a PhD with us? Want a glimpse into the life of a Distributed Algorithms student?
Cohort 2 student, Jordan Robinson, wins award at the 34th International Conference on Legal Knowledge and Information Systems (JURIX 2021)
The Distributed Algorithms CDT has a new PhD project partnered with Dstl and co-supervised by Ronni Bowman
Are you a scientist or engineer who wants to develop, test and benchmark algorithms? Do you find yourself spending more time than you’d like comparing new algorithms with existing solutions rather than focusing on the most critical aspects of your problem?
The Distributed Algorithms CDT (DA CDT) at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read Kostas's journey with the DA CDT so far…
The Distributed Algorithms CDT is delighted to be hosting its first formal showcase on Wednesday 7 December 2022, London (venue tbc)
The skills I have gathered during the internship have proven vital, especially as I now produce an independent piece of research for my final year project and seek to apply for postgraduate research...
Considering PhD study? Looking for reasons to convince yourself its the right choice? See what seven of our students say...
Considering PhD study? We give you 13 benefits of joining the Distributed Algorithms CDT...
Marco Fontana, PhD student at the Distributed Algorithms CDT, introduces his latest research paper.
Benedict Oakes, PhD student at the Distributed Algorithms CDT, introduces his latest research paper.
Theofilos Triommatis, PhD student at the Distributed Algorithms CDT, introduces his latest research paper.
Conor Rosato, research associate at the Signal Processing Group, introduces his latest research paper.
Alexey Narykov, post doc at Signal Processing Group, provides an overview of his research paper 'Poisson multi-Bernoulli mixture filtering with an active sonar using BELLHOP simulation'
Elinor Davies, PhD student at the CDT, provides an overview of her research paper 'A multi-Bernoulli Gaussian filter for track-before-detect with superpositional sensors'
Mehdi Anhichem, PhD student at the CDT, provides an overview of his research paper 'Multifidelity Data Fusion Applied to Aircraft Wing Pressure Distribution'. which he'll present at AIAA Aviation Forum, 27 June - 1 July 2022, Chicago, Illinois.
The CDT is pleased to be co-hosting an ‘Industry Taster Pilot Event’ for PhD students in Liverpool on 14 July 2022
Alexey Narykov, Post Doc researcher at the Signal Processing Group, provides an overview of his research paper 'Optimal Bernoulli Point Estimation with Applications' which he'll present at SSPD Conference, 13/14 September 2022, IET, Savoy Place, London.
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Christopher Taylor, Post Doc researcher at the Signal Processing Group, provides an overview of his research paper 'Optimizing Sonobuoy Placement using Multiobjective Machine Learning' which he'll present at SSPD Conference, 13/14 September 2022, IET, Savoy Place, London.
Alessandro Varsi, Post Doc researcher at the Signal Processing Group, provides an overview of his novel research 'Making the World’s Fastest Distributed Resampling Algorithm: Removing a Bottleneck from Scalable Numerical Bayesian Inference'
Yifan Zhou, Post Doc researcher at the Signal Processing Group, provides an overview of his novel research 'Control Variates for Constrained Variables' which has recently been published at IEEE.
Sarah Askevold is a 1st Year PhD student in the University’s Department of Electrical Engineering and Electronics and part of the CDT in Distributed Algorithms. Her PhD is entitled: ‘Faster Uncertainty Quantification of Hydrocodes’.
The Distributed Algorithms CDT (DA CDT) at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read Panagiotis's journey with the DA CDT so far…
Phil Clemson, Post Doc researcher at the Signal Processing Group, provides an overview of his recent joint research relating to novel analysis techniques related to the body's cardiovascular system. The full paper was published in Frontiers in Network Physiology.
The Distributed Algorithms CDT (DA CDT) at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read Ben's journey with the DA CDT so far…
Distributed Algorithms CDT Showcase December 2022: Bringing together PhD students, supervisors and partners to celebrate achievements and to instil the CDT’s Vision.
The Distributed Algorithms CDT has a new PhD project with Leonardo, co-supervised by David Greig.
Student Dominika Soltysik discloses her role model and thoughts for International Day of Women and Girls in Science (2023)
The Distributed Algorithms CDT (DA CDT) at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read Oliver's journey with the DA CDT so far…
The Distributed Algorithms CDT at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read George's journey with the CDT so far…
The Distributed Algorithms CDT at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read about Josh's journey…
Alberto Acuto, Data Scientist at the Signal Processing Group, provides an overview of his research paper; Initial Study of Reinforcement Learning Algorithms in Cyber-security Simulations
The Distributed Algorithms CDT at the University of Liverpool engages its students in impactful, cutting-edge and diverse research, allowing them to collaborate and develop their skills within the university’s data science community. Read about Andrew's unique journey…
Efthyvoulos Drousiotis, Year 3 PhD student at the CDT, provides an overview of his recent research relating to Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation. The paper was published on AIAI2023.
Kieron McCallan is a 2nd Year PhD student in the Distributed Algorithms Centre for Doctoral Training. He gives his advice on prepping for that much anticipated PhD interview!
Murat Uney, Lecturer in Signal Processing, provides an overview of his recent paper publication relating to the proposal of an algorithm which simultaneously estimates the unknown trajectory of craft using Bayesian detection test for long-time integration.
George Jones, Year 2 PhD student talks about how his sensor management research is due to be published and presented at the international symposium of information fusion in Charleston, SC later this month.
Benedict Oakes and Lyudmil Vladimirov provide an introduction to their paper, introducing Stone Soup 1.0, which will be presented at this year's Fusion Conference 2023.
Giorgos Chionas, Year 1 PhD student, shares research news about the paper he had published at Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23) August 2023.
Yifan Zhou, PDRA, in the signal processing group, has recently won funding from the university’s Early Career Research fund which will enable him to continue his research on using control variates for efficient computer graphical rendering.
Dr Marcel Hernandez, Senior Data Scientist with the Signal Processing Group, recently submitted his co-authored paper entitled "Non-Myopic Sensor Control for Target Search and Track Using a Sample-Based GOSPA Implementation" to IEEE Transactions on Aerospace and Electronic Systems
Mehdi Anhichem, Year 4 PhD student at the CDT presents his latest research at the AIAA Scitech Forum in Orlando on January 8, 2024
A University of Liverpool researcher features in a new BBC documentary `Why Planes Vanish: The Hunt for MH370’ which airs tonight.
