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Research Software London Luncthime Seminar - April 2019

Research Software London

Wednesday, 3 April 2019 from 12:00 to 14:00 (BST)

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The Research Software London community for developers, researchers and anyone interested in research software in the London and South East region will be holding a lunchtime seminar on Wednesday 3rd April 2019.


This seminar will be hosted at University of Westminster and will take place at the Cavendish Campus, 115 New Cavendish Street, London W1W 6UW.


Lunch will be available from 12pm and the seminar will begin at 12:30pm. We will have a combination of lightning talks and longer presentations from members of the RSLondon community. We would like to thank the COLA project (https://project-cola.eu/) team at University of Westminster for spporting this event.


Agenda:

12:00 Lunch available
12:30 Welcome and introduction to the RSLondon community, Tamas Kiss, University of Westminster / Jeremy Cohen, Imperial College London
12:40 Optimised deployment and run-time auto-scaling of cloud-based applications, Tamas Kiss, University of Westminster
13:10 Data Science, Machine learning and AI for Research, Sanaz Jabbari, University College London
13:30 Research Software Careers at UCL, Jonathan Cooper, University College London
13:40 Discussion / Networking
14:00 Session close


Abstracts:


Title: Optimised deployment and run-time auto-scaling of cloud-based applications
Speaker: Prof. Tamas Kiss, University of Westminster


Abstract: Scientific and commercial applications require resource scalability that cloud computing infrastructures can provide. However, utilizing the elasticity of clouds from and application’s perspective is not trivial. COLA (Cloud Orchestration at the Level of Application) is an EU H2020 project which designs and implements a fully modular framework called MiCADO (Microservice-based Cloud Application-level Dynamic Orchestrator) to support auto-scaling and optimization of cloud applications. MiCADO is based on widely used open source technologies, such as Docker, Kubernetes, Prometheus or Occopus, and its modular structure means that components can be easily replaced with alternative technologies on demand. The framework supports auto-scaling at both container and virtual machine levels, and enables highly customisable scaling policies, (e.g. based on resource consumption or execution deadline). Application description, resource requirements and scaling policies are provided in the form of a standardized TOSCA-based (Topology and Orchestration Specification for Cloud Applications) Application Description Template. The framework also comes with a convenient Ansible based deployment and features an operator dashboard where the behavior of the infrastructure and its applications can be monitored.  MiCADO has been prototyped and benchmarked with several scientific and industry applications, for example discrete event and agent based simulation applications and with data intensive web applications.


About the Speaker: Tamas Kiss is a Professor of Distributed Computing, and Director of the Research Centre for Parallel Computing at the University of Westminster. He holds a PhD degree in Distributed Computing. His research interests include distributed and parallel computing, cloud, and high performance computing. He has attracted over £25 Million research funding and have been leading national and European research projects related to enterprise and research applications of cloud computing technologies. He was acting as project director and scientific coordinator for the European CloudSME (Cloud-based Simulation Platform for Manufacturing and Engineering) project that developed a Cloud-based simulation solution for manufacturing and engineering SMEs and he is the Chair of the Scientific Advisory Board of CloudSME UG that has been established by ten European stakeholders to exploit the results of the CloudSME project. Currently he is leading the EU H2020 COLA (Cloud Orchestration at the Level of Application) project that investigates how a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications can be created. He also lead the H2020 ASCLEPIOS (Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare) project,  and member of the Executive Board and Coordinator of Application Experiments in the EU H2020 CloudiFacturing (Cloudification of Production Engineering for Predictive Digital Manufacturing) project.



Title: Data Science, Machine learning and AI for Research
Speaker: Dr Sanaz Jabbari, University College London


Abstract: In this talk, I am going to introduce "AI Studio", a recently introduced group working with Research Software Development (RSD) team in UCL RITS (Research IT Services).
Following the successful collaboration model between RSD and UCL researchers, AI Studio is set to provide solutions for those research questions that could benefit from applying machine learning and data science tools, in particular, those that require Natural Language processing and Image processing as part of their research pipeline.
To illustrate some possible collaboration scenarios, I will describe my current collaboration with the Statistics team that benefits from Image processing as a part of Tsunami Modelling project, and also an initial project that applies Natural language processing to Medical letters.


About the speaker: Sanaz Jabbari joined RSD-RITS in 2018, as AI Studio lead. She is an applied Computer Scientist with background in software engineering and machine learning. She got her PhD in Statistical Natural Language Processing from the University of Sheffield. She later worked as NLP lead in a start-up, followed by working as an applied scientist in Microsoft Bing.



Title: Research Software Careers at UCL (lightning talk)
Speaker: Dr Jonathan Cooper, University College London


Abstract: Many kinds of people work on research software, and have differing career aspirations. In this talk I'll outline how we're trying to create a range of new opportunities for them at UCL, and strengthen our research software development group in the process.

 

 

If you would like to attend this event, please register by Wednesday 27th March so we can provide numbers for catering to the local organisers.

Do you have questions about Research Software London Luncthime Seminar - April 2019? Contact Research Software London

When & Where


University of Westminster
115 New Cavendish Street
W1W 6UW London
United Kingdom

Wednesday, 3 April 2019 from 12:00 to 14:00 (BST)


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Organiser

Research Software London

Research Software London: supporting researchers building software in London and the South East

Research Software London (https://rslondon.ac.uk) is a regional community for researchers in London and the South East who write or use scientific software or want to improve their technical computing skills and knowledge.

We aim to improve the quality of scientific software built within our region resulting in more sustainable, reliable and maintainable research software which can support higher quality research outputs. We are an open community that welcomes anyone who wants to participate in or feels that they can contribute to, or learn from, our research software activities.

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