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Past Events

October 2020

  Thu 29 Oct 2020
  11:00 - 12:00
"Crisis Data on Social Media Platforms: Exploiting Knowledge Graphs" with Dr Prashant Khare updated
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Prashant Khare, Postdoctoral Researcher in the School of Electronic Engineering and Computer Science, Queen Mary. Prashant's research interests include: natural language understanding and processing,...
  Tue 27 Oct 2020
  14:00 - 16:00
Image: IADS Artificial Intelligence for Materials Discovery Sandpit Event
Online
Queen Mary's Institute of Applied Data Science is organising a series of sandpits aiming to propose and develop ideas for new cross-disciplinary research and impact funding calls and programmes. Our first sandpit is scheduled for Tuesday, 27 October 2020, 14:00-16:00 and has a research theme of 'Artificial Intelligence for Materials Discovery'. This two-hour sandpit workshop will focus on discussing challenges in the artificial intelligence and data science assisted materials discovery. ...
  Thu 22 Oct 2020
  11:00 - 12:00
Image: Dr Katherine McDonough"Using language models to find living machines in nineteenth-century books" with Dr Mariona Coll Ardanuy and Dr Katherine McDonough
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Mariona Coll Ardanuy, Visiting Research Fellow, and Dr Katherine McDonough, Research Fellow, at Queen Mary. Mariona is a Visiting Research Fellow in the School of Electronic Engineering and Computer Science, Queen Mary, and a Research Associate at the Alan Turing Institute. She has worked as researcher at the Center of Digital Humanities in Trier and the Centre of Digital Humanitites in Go?ttingen, in close collaboration with historians and...
  Thu 15 Oct 2020
  11:00 - 12:00
Image: Dr Yannick Wurm"Data Science for Understanding Social Chromosomes and Pollinator Health" with Dr Yannick Wurm
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Yannick Wurm, Reader in Bioinformatics at Queen Mary. Yannick is an academic in the School of Biological and Chemical Sciences and leads his research laboratory with expertise in: molecular-genetic mechanisms and tradeoffs underpinning social evolution, pollinator health, evolutionary genomics and bioinformatics tools for genomic analysis. Join us at 11am via the Zoom channel https://turing-uk.zoom.us/j/783073281
  Thu 8 Oct 2020
  11:00 - 12:00
Image: Professor Kaspar Althoefer"Integrating Soft Robots with the Sense of Touch" with Professor Kaspar Althoefer
Webinar via Zoom
The Institute of Applied Data Science welcomes Professor Kaspar Althoefer, Professor of Robotics Engineering and Head of Centre for Advanced Robotics at School of Engineering and Materials Science, Queen Mary. Kaspar's current research interests are in the areas of robot autonomy, soft robotics, modelling of tool-environment interaction dynamics, sensing and neuro-fuzzy-based sensor signal classification with applications in robot-assisted minimally invasive surgery, rehabilitation, assistive...
  Thu 1 Oct 2020
  11:00 - 12:00
Image: Dr Vincenzo Nicosia"Dynamic segregation and the disproportionate incidence of COVID-19 in African American communities" with Dr Vincenzo Nicosia
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Vincenzo Nicosia, Lecturer in Networks and Data Analysis at Queen Mary. Vincenzo is an academic in the Complex Systems and Networks Group at School of Mathematical Sciences and his mathematical expertise is the complex networks and complex systems. His research is focused on the structure and dynamics of networks, and in particular on the characterisation and modelling of processes on multilayer and multiplex networks. He has been working on...

September 2020

  Thu 24 Sep 2020
  11:00 - 12:00
Image: Dr Martin Benning"Deep neural networks as optimal control problems" with Dr Martin Benning
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Martin Benning, Lecturer in Optimisation / Machine Learning at Queen Mary. Martin is an academic in the School of Mathematical Sciences and his mathematical expertise is the theoretical and computational handling of inverse & ill-posed problems. In inverse problems, an unknown quantity – such as the image of the interior of a human body – is only accessible indirectly through the inversion of a mathematical operator. In nearly...
  Fri 18 Sep 2020
  14:00 - 16:00
Image: Centre for Urban Transport Technology at Queen Mary - Launch Event
Online
IADS members are cordially invited to join the launch event for the new Queen Mary Centre for Urban Transport Technology on Friday, 18 September 2020, 2-4PM (online event). Queen Mary University of London has won two large grants from the Department for Education (£18M) and the Skills for London (£10M) to establish the Institute of Technology (IOT) where we will offer degree apprenticeships from 2022 with our partners at Newham College. As part of this, Queen Mary is establishing a new...
  Thu 17 Sep 2020
  11:00 - 12:00
"Data Science for Environmental Good" with Dr Zafar Gilani
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Zafar Gilani, Postdoctoral Research Assistant from School of Electrical Engineering and Computer Science, to talk about data science for environmental good. Join us at 11am via the Zoom channel...
  Thu 10 Sep 2020
  11:00 - 12:00
Image: Dr Arkaitz Zubiega"Early Detection of Hoaxes in Social Media" with Dr Arkaitz Zubiaga
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Arkaitz Zubiaga, Lecturer in Applied Statistics and Big Data Processing at Queen Mary. Arkaitz is an academic in the School of Electronic Engineering and Computer Science and his research revolves around Human Factors in Natural Language Processing, interdisciplinary research bridging NLP and Social Computing. Arkaitz is particularly interested in linking online data with events in the real world, among others for tackling problematic issues on...
  Thu 3 Sep 2020
  11:00 - 12:00
Image: Dr Mona Jaber"AI-enabled wireless network performance management based on CDR analysis" with Dr Mona Jaber
Webinar via Zoom
The Institute of Applied Data Science welcomes Dr Mona Jaber, Lecturer in the Internet of Things at Queen Mary. Mona is an academic in the School of Electronic Engineering and Computer Science and is primarily interested in machine learning applications for network data analytics with focus on network automation and IoT applications. In particular, Mona's current research interests are shaped by the emerging intersection between smart city and transport applications leading to Smart urban...

July 2020

  Wed 29 Jul 2020
  15:00 - 16:00
Image: Turing Lecture: Is education AI-ready? with Professor Rose Luckin
Register below - online
Covid-19 has precipitated a major experiment for the UK’s education system that may change the way we teach and learn forever, but what role can and should AI play in this transformation? Join Professor Rose Luckin as she discusses the current stage of AI's application in education and the ways in which AI has supported teachers and learners during the pandemic. This is the first in The Turing Lecture mini-series exploring the role of AI and data science in our lives post-lockdown. ...
  Thu 9 Jul 2020
  11:00 - 12:00
Image: Charalampos SaitisIADS Webinar with Dr Charalampos Saitis, Lecturer in Digital Music Processing
The Institute of Applied Data Science welcomes Dr Charalampos Saitis, Lecturer in Digital Music Processing at Queen Mary. He is an academic in the School of Electronic Engineering and Computer Science and is primarily interested in auditory perception and cognition, musical acoustics and haptics, musician-instrument interaction, and affective computing. Join us at 11am via the Zoom channel https://turing-uk.zoom.us/j/783073281
  Thu 2 Jul 2020
  11:00 - 12:00
Image: IADS Webinar with Alex Shestopaloff: 'Scalable Monte Carlo methods for Bayesian Inference'
Zoom (link is below)
The Institute of Applied Data Science welcomes its newest member to join Queen Mary from the Turing Institute. Dr Alex Shestopaloff is a Fellow of the Alan Turing Institute and Lecturer (Assistant Professor) in Statistics at Queen Mary University of London (School of Mathematical Sciences). He is primarily interested in developing efficient Monte Carlo methods for statistical inference. Alex will present: 'Scalable Monte Carlo methods for Bayesian Inference' and as always the talk will be...

June 2020

  Thu 25 Jun 2020
  11:00 - 12:00
Image: Professor Maria LiakataIADS Webinar with Maria Liakata 'Creating time sensitive sensors from user-generated language and heterogeneous content'
Please join us just before 11am when IADS presents its weekly Colloquium Webinar with Maria Liakata, Professor in the School of Electronic Engineering and Computer Science. Maria holds a prestigous Turing AI fellowship award on Creating Time Sensitive Sensors from Language & Heterogeneous User-Generated Content (2019-2024). She is also leading projects which cover “Emotion sensing using heterogeneous mobile phone data”, “Language sensing for dementia monitoring & diagnosis” , “Multi-modal processing for bipolar diagnosis” and “Opinion summarisation from social media”. Maria will present 'Creating time sensitive sensors from user-generated language and heterogeneous content' an this will be followed by open discussions. https://turing-uk.zoom.us/j/783073281
  Thu 25 Jun 2020
  12:00 - 13:00
Image: Magda OsmanSeminar: Covid-19 and its Gobal Impact
Online via Youtube - link below
The Queen Mary Public Lecture Series is back and is available as digital content. The discussion features IADS Turing Fellow, Dr Magda Osman. PEOPLE AND PANDEMICS SERIES: COVID-19 AND ITS GLOBAL IMPACT In this panel event Dr Philippa Lloyd, Dr Magda Osman, Professor Tim Bale and Professor David McCoy discuss how different countries and their populations have responded to Covid-19. We will examine the political, social and psychological consequences of a global lockdown and how our...
  Thu 18 Jun 2020
  11:00 - 12:00
Image: Dr Sukhpal Singh GillIADS Webinar 'Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing' with Dr Sukhpal Singh Gill
Zoom online
IADS presents its weekly Colloquium Webinar with Dr Sukhpal Singh Gill from the School of Electronic Engineering and Computer Science. Sukhpal will present "Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing" followed by open discussions. https://turing-uk.zoom.us/j/783073281
  Thu 11 Jun 2020
  11:00 - 12:00
Image: Dr Jan MolIADS Webinar 'Machine learning for nanoscale control' with Dr Jan Mol
Zoom (link is below)
IADS presents its weekly Colloquium Webinar with Dr Jan Mol, Royal Academy of Engineering Research Fellow, Materials Research Institute Academic Fellow & Senior Lecturer. Jan will present 'Machine learning for nanoscale control' followed by open discussions. https://turing-uk.zoom.us/j/783073281
  Thu 4 Jun 2020
  11:00 - 12:00
Image: Prof David DunstanIADS Webinar 'Easy computation of the Bayes Factor to fully quantify Occam’s razor' with Professor David Dunstan
Zoom
IADS presents its weekly Colloquium Webinar with David Dunstan, Professor of Experimental Physics. David will present "Easy computation of the Bayes Factor to fully quantify Occam’s razor" followed by open discussions. https://turing-uk.zoom.us/j/783073281
  Thu 4 Jun 2020
  15:00 - 16:00
Image: Challenging Power in Data Science with Catherine D’Ignazio and Lauren F. Klein, authors of the Data Feminism (MIT Press, 2020),
Online Event
The Alan Turing Institute is pleased to welcome Catherine D’Ignazio and Lauren F. Klein, authors of the Data Feminism (MIT Press, 2020), for a virtual lecture entitled Challenging Power in Data Science. Details and booking are at the link below. As data are increasingly mobilised in the service of governments and corporations, their unequal conditions of production, asymmetrical methods of application, and unequal effects on both individuals and groups have become increasingly difficult...
  Tue 2 Jun 2020
  11:00 - 12:30
Image: AI UK 2020 Digital poster exhibition
Online
See what the future holds for data science and artificial intelligence Join the interactive audience at this virtual exhibition to hear from the UK's next generation of data science talent on their research techniques and applications, and see what the future holds for artificial intelligence. The exhibition will be live for 1.5 hours and you will be able to visit each students' display and engage in conversation and ask questions. Don't miss it, links will be added during the event. ...

May 2020

  Thu 28 May 2020
  11:00 - 11:40
Image: IADS Webinar: Richard Clegg on Predictive models for dynamic graph data
via Zoom
You are invited to join us for our next IADS Webinar with Richard Clegg specialist in Information Systems Management. Richard's talk is on "Predictive models for dynamic graph data". Join us for this Zoomposium here: https://turing-uk.zoom.us/j/783073281
  Thu 21 May 2020
  11:00 - 11:40
Image: IADS Webinar: Martin Neil on 'COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing'
via Zoom
You are invited to join us for our next IADS Webinar with Martin Neil, Professor of Computer Science and Statistics & Turing Fellow, School of Electronic Engineering and Computer Science. Martin will present "COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing". Join us for this Zoomposium here: https://turing-uk.zoom.us/j/783073281
  Thu 14 May 2020
  11:00 - 12:00
Image: Dr Ignacio Castro, Internet Data ScientistIADS Colloquium Webinar with speaker Dr Ignacio Castro
Zoom (link is below)
IADS presents its weekly Colloquium Webinar with Dr Ignacio Castro. Ignacio will present "Competing and cooperating in the IETF, analysing the largest Internet standards forum" followed by open discussions. https://turing-uk.zoom.us/j/783073281
  Thu 7 May 2020
  11:00 - 12:00
Image: IADS Colloquium with Professor Simon Lucas
via Zoom
We are delighted to present our speaker for this weekly IADS Webinar: Professor Simon Lucas on "Games and Game AI: What can they do for Pandemics?" Join us for this Zoomposium here: https://turing-uk.zoom.us/j/783073281

April 2020

  Thu 30 Apr 2020
  11:00 - 12:00
Image: IADS Colloquium with Dr Dan Hudson
Zoom (link is below)
IADS presents its next Colloquium Webinar with Dr Dan Hudson. Dan's talk is "Deals for data: a perspective on data-driven collaborations in the pharmaceutical industry" https://turing-uk.zoom.us/j/783073281
  Thu 23 Apr 2020
  11:00 - 12:00
Image: IADS Colloquium with Dr Gareth Tyson
Zoom
IADS presents its next Colloquium Webinar with Dr Gareth Tyson: "A Review of Ongoing Data Science Efforts to Counter COVID-19". Join us at this link from just before 11am - https://turing-uk.zoom.us/j/783073281 Publication: http://www.researchgate.net/publication/340687152
  Thu 16 Apr 2020
  11:00 - 12:00
Image: Prof P CongdonIADS Webinar with Professor Peter Congdon
https://turing-uk.zoom.us/j/783073281
Prof Congdon will do the first IADS Colloquium Webinar. He will discuss the spatial perspectives of disease spreading, followed by open discussions.
  Mon 13 Apr 2020
  12:00 - 13:30
Image: Dr Lucas LucasaThe Institute of Applied Data Science Colloquium Series
Room E303, Queens' Building, Queen Mary University of London, Mile End
The Institute of Applied Data Science Colloquium Series presents Moreno Bonaventura, Data Scientist. Moreno will be joined by Dr Lucas Lacasa, Reader in Applied Mathematics & EPSRC Early Career Fellow.
  Wed 8 Apr 2020
  12:00 - 13:30
Image: James Hetherington

UKRI Director of e-InfrastructureIADS Colloquium 'Data & Computers & Code & People - towards a National Digital Research Infrastructure' with Dr James Hetherington, UKRI Director of e-Infrastructure
Postponed - we will reschedule this event once the Covid-19 situation is more settled
Dr Hetherington has recently been appointed as United Kingdom Research and Innovation's (UKRI) new Director of e-Infrastructure. This is a new executive role, and will see James work alongside Mark Thomson, Executive Chair Science and Technology Facilities Council's (STFC) developing and delivering the e-Infrastructure sector of the UKRI Infrastructure Roadmap, leading on strategy for the software, skills, clouds, data services and supercomputers that underpin computational science and digital...
  Mon 6 Apr 2020
  12:00 - 13:30
Image: Dr Yehia Elkhatib, Lancaster UniversityIADS Colloquium 'Cloud Decision Support using Machine and Transfer Learning' with Dr Yehia Elkhatib, Lancaster University
Arts One Room 1.28, Mile End Campus, Queen Mary university of London
Title: Cloud Decision Support using Machine and Transfer Learning Abstract: Cloud computing has become the de facto means of deploying large scale systems. In the public cloud computing market there is a large set of competing companies offering what appear on the surface to be very similar services, but in reality vary significantly both in price and performance. As such, selecting optimal services is a time consuming and complex task for an application developer. In this talk, I present...

March 2020

  Tue 24
 - Wed 25 Mar 2020
Image: Event - UK academic work in AI and machine learningConference: The Turing Presents: AI UK
This event has been cancelled until further notice.
This event has been cancelled until further notice. If you would like to be notified of the new date as soon as it is confirmed, please add you details to the mailing list. The Alan Turing Institute will be hosting a two-day showcase featuring the very best of UK academic work in AI and machine learning in the future. The Alan Turing Institute continues to pursue its ambitious goals: by advancing world class research in data science and artificial intelligence (AI), training and inspiring the...
  Thu 12 Mar 2020
  17:00 - 18:00
Image: Tom SchaulSeminar: Challenges of deep reinforcement learning, and the example of AlphaStar, with Tom Schaul (Google DeepMind)
Peston Lecture Theatre, Graduate Centre in Mile End Campus, Queen Mary University of London
Title: Challenges of deep reinforcement learning, and the example of AlphaStar Abstract: This talk is centred on deep reinforcement learning, its potential and its challenges. I will give a birds-eye overview of the field, and then dive into some of the trickier challenges that are driving research today. In parallel, I will motivate how useful games are for this kind of research. On the solution side, I will describe some of the techniques that have recently helped a deep RL system achieve...
  Tue 3 Mar 2020
  12:00 - 13:30
Image: Jonas AdlerThe Institute of Applied Data Science Colloquium Series with Professor Carola-Bibiane Schönlieb & Jonas Adler
G.O. Jones 610, Mile End Campus, Queen Mary
The Institute of Applied Data Science is delighted to present two speakers: from Deep Mind (Jonas Adler) and from the University of Cambridge (Carola Bibiane Schönlieb) at our next colloquium. Both will speak about inverse problems. Jonas Adler is a Research Engineer working in the Science team at DeepMind. He recently finished his PhD in Applied Mathematics at KTH under the supervision of Ozan Öktem. His research is in inverse problems and machine learning, especially focusing on the...

February 2020

  Fri 28 Feb 2020
  11:00 - 12:00
Image: Professor Jelena GrbicSeminar: 'Homology theory of super-hypergraphs' with Professor Jelena Grbic (University of Southampton)
Mathematics Building Room MB-503, Mile End Campus, Queen Mary
The Institute of Applied Data Science welcomes Professor of Pure Mathematics Jelena Grbic (University of Southampton). The seminar is entitled Homology theory of super-hypergraphs. Abstract: Hypergraphs can be seen as incomplete abstract simplicial complexes in the sense that taking subsets is not a closed operation in hypergraphs. This notion can be extended to ?-sets with face operations only partially defined, these objects we name super-hypergraphs. In this talk I will set out...
  Fri 21 Feb 2020
  13:00 - 14:00
Image: Vito LatoraThe School of Mathematical Sciences Colloquium
Mathematical Sciences Building, Room MB-503, Mile End Campus
The first of our two speakers Alex Clark, Professor of Mathematics (Deputy Head of School) will speak from 1:05-1:30pm. Alex's talk is followed by Vito Latora, Professor of Applied Mathematics and Chair of Complex Systems (1:30-1:55pm).
  Wed 5 Feb 2020
  13:00 - 14:00
Image: Prof Alexandre Tkatchenko'The Promise and Rise of Machine Learning in Chemistry and Physics' with Alexandre Tkatchenko, Professor of Theoretical Chemical Physics, University of Luxembourg
Arts One Lecture Theatre, Mile End Campus, Queen Mary University of London
Abstract: Learning from data has led to paradigm shifts in a multitude of disciplines, including web, text and image search, speech recognition, as well as bioinformatics. Can machine learning enable similar breakthroughs in understanding (quantum) molecules and materials? Aiming towards a unified machine learning (ML) model of quantum interactions, I will discuss the potential and challenges for using ML techniques in chemistry and physics. ML methods can not only accurately estimate molecular...

January 2020

  Mon 27 Jan 2020
  12:00 - 13:30
Image: Dr John WoodwardInstitute of Applied Data Science lunch time Colloquium Simon Martin from Schnellecke Digital Innovations. Simon is joined by John R. Woodward, Operational Research Group Head
Room W206, Queens' Building, Mile End Campus
Our next Institute of Applied Data Science lunch time colloquium features Simon Martin from Schnellecke Digital Innovations. Simon is joined by John R. Woodward, head of the Operational Research Group, and a senior lecturer in Computer Science in the department of Electrical Engineering and Computer Science at Queen Mary University of London. Simon Martin's Abstract In car production plants just-in-time scheduling is practised. The Volkswagen production line constantly requires parts to...
  Wed 15 Jan 2020
  11:00 - 12:00
Image: Dr Claudia Neves
On trend estimation and testing with application to extreme rainfall, with Dr Claudia Neves
MB-503, Maths Building, Mile End Campus
Dr Claudia Neves (University of Reading) Extreme Value Theory provides a rigorous mathematical justification for being able to extrapolate outside the range of the sampled observations. The primary assumption is that the observations are independent and identically distributed. Although the celebrated extreme value theorem still holds under several forms of weak dependence, relaxing the stationarity assumption, for example by considering a trend in extremes, leads to a changeling problem of...
  Tue 14 Jan 2020
  12:00 - 13:30
Image: Dr Ajith ParlikadThe Institute Colloquium welcomes Dr Ajith K. Parlikad 'Asset Management in the Digital Age'
G.O. Jones 610, Mile End Campus, Queen Mary
We are delighted to present Dr Ajith Parlikad, Head of Asset Management Group at the University of Cambridge to talk on Innovation in Asset Management and the use of Digital Twins. Abstract: We are living in a digital era. It is evident that the practice of maintenance and asset management has the potential to be one of the biggest beneficiaries of this digital revolution. Concepts such as Industrial Internet of Things, Cyber Physical Systems and Digital Twins are now seen as major...

December 2019

  Fri 13 Dec 2019
  09:30 - 11:00
Mathematics and Data Group
MB 505, Mile End Campus
The speaker will be Vincenzo Nicosia, who will talk about "Learnability through feed-forward neural networks".
  Wed 11 Dec 2019
  12:00 - 13:30
Image: Professor Peter McBurney'Of Cats and CryptoKitties' with Peter McBurney, Professor of Computer Science at King's College London & 'Building a trading strategy: a practitioner's guide' with Dr Richard Saldanha, Managing Director of Oxquant
G.O. Jones Building, Room 610, Mile End Campus, Queen Mary University of London
The Institute of Applied Data Science present 'Of Cats and CryptoKitties' with Peter McBurney, Professor of Computer Science at King's College London. ABSTRACT: The CAT Market Design Tournament was a global computer science research tournament created to encourage research into the automated design of marketplaces. I will talk about the tournament, the use of ideas from complex adaptive systems in economics, and the many research challenges which remain in this space. BIO: Peter...
  Fri 6 Dec 2019
  13:30 - 14:30
Image: Kevin Buzzard Doing algebraic geometry in a computer proof system, with Kevin Buzzard (Imperial College London)
Huxley 308, Faculty of Engineering, Imperial College London
Kevin Buzzard (Imperial College). Doing algebraic geometry in a computer proof system. Friday 6th Dec, 1:30-2:30pm. Huxley 308. Abstract: I’ll tell the story of how me and a team of undergraduates ended up being the first people in the world to tell a computer what a scheme was, and how it turned out to be more difficult than we thought. I’ll go through the definition we all thought we knew and point out some subtleties. I’ll then talk about how I went on to define adic spaces and...
  Mon 2
 - Tue 3 Dec 2019
Image: Dr Adrian Bevan, Turing Fellow Seminar: Data science for physics and astronomy scoping workshop
The Alan Turing Institute, 1st floor of the British Library, 96 Euston Road, London, NW1 2DB
The Institute of Applied Data Science's Deputy Director (Science & Engineering) Dr Adrian Bevan, along with Dr Darren Price, Turing Fellow and Dr Benjamin Joachimi, Reader in the Department of Physics and Astronomy at UCL are organising a two event: 'data science for physics and astronomy scoping workshop'. This hands-on workshop will bring together physics and astronomy researchers, data science practitioners, as well as industry partners and public sector funders at The Alan-Turing...

November 2019

  Tue 26 Nov 2019
  12:00 - 13:00
Image: Dr Lucas LucasaSensing complex systems: time series, networks, and their Interfaces
Mathematics Building, Room MB 503, Mile End Campus, Queen Mary
We welcome Dr Lucas Lucasa, School of Mathematical Sciences. Lucas is the recent winner of the prestigious Universal Scientific Education and Research Network (USERN) prize in Formal Sciences for his work developing new methods for data analysis. The title of the talk is: “Sensing complex systems: time series, networks, and their Interfaces” and the abstract is below. Abstract: Complex systems, composed by many elements whose interaction results in the display of collective...
  Fri 22 Nov 2019
  12:30 - 14:00
Image: 'Interactive agri-robotics' with Dr Espinosa (Ross Robotics) and Dr Emmanouil Benetos (Turing Fellow) 'Machine learning for machine listening'
Arts One: Room 1.28, Mile End Campus, Queen Mary University of London
The next colloquia consists of renowned speakers discussing their latest research and demonstrating their work. We present 'Interactive agri-robotics' with Philip Norman (Co-founder, Director of Research & Development at Ross Robotics). Abstract Dr Espinosa will present a case study of modular robot for poultry farming, with potential implications for other sectors. The talk will focus on interactivity in data collection, analytics and better informed decision-making for improved animal...
  Wed 20 Nov 2019
  18:00 - 19:00
Image: Professor Fleur JohnsOn Data: Givens of Global Law, with Professor Fleur Johns, Faculty of Law at UNSW Sydney
Arts Two Lecture Theatre, Ground Floor, Mile End Road, Queen Mary University of London, London E1 4NS
Fleur Johns is a Professor in the Faculty of Law at UNSW Sydney. Fleur studies patterns of governance on the global plane. Her current research focuses on changing modes of global relation emerging in the context of technological change. Please click the link below to register for this event. Abstract: This talk dwells on a medium in which people, places and things are being connected, divided, aggregated and distributed juridically on the global plane: digital data. It will explore how,...
  Wed 13 Nov 2019
  12:00 - 13:30
Image: Jack Kelly, Open Climate AI versus climate change: data science, machine vision and solar panels, with Jack Kelly, Open Climate Fix & Dan Stowell, Turing Fellow
Room Bancroft Road Room 4.01, Mile End Campus
The next in our autumn colloquium series is 'AI versus climate change: data science, machine vision and solar panels' with our speaker Jack Kelly, Open Climate Fix https://openclimatefix.github.io/ and Dan Stowell, Turing Fellow http://mcld.co.uk/research/ ABSTRACT: Jack Kelly left his job at DeepMind to concentrate full time on using data science to address the climate crisis. He co-founded Open Climate Fix, a new non-profit research and development lab, totally focused on reducing...
  Wed 6 Nov 2019
  09:00 - 18:00
Image: FIRED-UP - Faculty Industry Research Engagement DayFIRED-UP - Faculty Industry Research Engagement Day, Faculty of Science and Engineering
Registration in 'Arts Two'Building Foyer, Mile End Campus, Queen Mary University of London E1 4NS
The Faculty of Science and Engineering at Queen Mary University of London will be showcasing its research excellence to specially invited innovative and R&D oriented companies at the Faculty Industrial Research Engagement Day (FIRED-UP) on 6th November 2019 - details here https://www.qmul.ac.uk/about/se/fired-up/ The event will: provide you with cutting-edge insight into leading R&D and new technologies give an overview of the UK funding landscape and funding opportunities available ...

October 2019

  Thu 31 Oct 2019
  17:00 - 18:00
Image: Norman FentonSeminar: Bayes and the Law: How much can we trust DNA evidence? with Professor in Risk Information Management
PP2 Lecture Theatre, People's Palace, Mile End Campus, Queen Mary University of London
Guest Lecture by Norman Fenton, Professor in Risk Information Management and Turing Fellow at Queen Mary University of London. Title: Bayes and the Law: How much can we trust DNA evidence? Abstract: Suppose that DNA ‘matching’ a suspect is found at a crime scene. A forensic expert asserts: “It is a million times more likely to obtain these DNA results if the DNA comes from the suspect than if it did not”. How convinced should you be that the DNA does comes from the suspect? This...
  Fri 18 Oct 2019
  09:30 - 11:00
Image: Dr Justin Ward
Mathematics and Data Study group: 'Introduction to Stochastic Gradient Descent'
MB505, Mathematics Building, Mile End Campus, Queen Mary University of London
Welcome to the next in our Study Groups series with an 'Introduction to Stochastic Gradient Descent' with our speaker Justin Ward Lecturer in the School of Mathematical Sciences at Queen Mary University of London. Abstract In many large-scale machine learning and regression problems, we measure the error in a classifier on a given observation by using a convex loss function, and seek a classifier that minimises the total or average loss over some very large set of observations or training...
  Fri 11 Oct 2019
  09:30 - 11:00
Image: Dr Felipe RinconTropical Geometry and Deep Learning
MB505, Mathematics Building, Mile End Campus, Queen Mary University of London
This week sees the inaugural meeting of a new Study Group on 'Tropical Geometry and Deep Learning'. The Group will meet throughout the autumn semester with a focus on establishing the connections between Tropical Geometry and Deep Learning. Meetings will take place on Friday mornings (9:30 - 11:00) in the study room MB505, Mathematics Building, Mile End Campus. In the first meeting we will discuss the basic connection between tropical geometry and deep neural networks, before we scope out...
  Wed 9 Oct 2019
  12:00 - 13:30
Image: Dr Bei Wang, University of Utah'A Structural Average of Labelled Merge Trees' with Dr Bei Wang, Assistant Professor, University of Utah
Arts Two, Room 3.16, Mile End Campus, Queen Mary University of London
The Institute of Applied Data Science is delighted to welcome Bei Wang, Assistant Professor, University of Utah to present 'A Structural Average of Labeled Merge Trees'. All our welcome to attend this talk over a light lunch. Abstract: Merge trees are a type of graph-based topological summary that tracks the evolution of connected components in the sublevel sets of scalar functions. They enjoy widespread applications in data analysis and scientific visualization. We consider the problem of...
  Thu 3 Oct 2019
  14:30 - 16:00
Image: Machine Learning for Understanding Risk in an Uncertain World, with Dr Reza Khorshidi, AIG and Professor Norman Fenton, Queen Mary
Seminar Room MB503, Mathematics Building, Mile End Campus, Queen Mary University of London
We would like to warmly invite you to attend the next in our autumn series of colloquia. We will have two world renowned speakers discussing on a theme of "Machine Learning for Understanding Risk in an Uncertain World": Dr. Reza Khorshidi, Chief Scientist, Global at AIG. He leads the Science team at AIG - a global team focused on advising AIG with scientific innovations, products and insights. "In my talk, I aim to make an economic case for machine learning in Insurance and Investment /...

September 2019

  Mon 16 Sep 2019
  12:00 - 13:00
Image: 2019 Mansfield lecture: 'Title: Challenges in Treating Cancer: New Insights and Opportunities' delivered by Dr Shiladitya Sengupta (Harvard Medical School)
Room GC 201, The Graduate Centre, Mile End Campus, Queen Mary University of London E1 4NS
This is a new lecture series and the the talk will be useful to those interested in cancer treatment and associated AI technologies. The Sir Peter Mansfield lectures focus on how academic ideas are turned into successful businesses in the Life Sciences sector. The series will uniquely include lectures exposing the hurdles, opportunities and rewards that help propel industrial research/business ideas. The 2019 Mansfield lecture will be delivered by TR35 Innovator award recipient, Dr...
  Thu 12 Sep 2019
  10:00 - 18:00
Image: Mathematics and Data Workshop
The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB
The field of data science is one that is ever growing and continually on the look out for new techniques and ideas to improve the capacity and speed of what can be analysed. There is a multitude of areas to find such innovation and to have a diverse box of tools to call upon to solve a problem. This one day event aims to explore a broad and diverse range of mathematical disciplines that have data science as a point of common intersection. The day will consist of a series of talks and...
  Thu 12 Sep 2019
  16:00 - 17:30
Image: Dr Steve CoadStatistical methods for adaptive trials and precision medicine in Rhumatology
Wolfson Institute, Charterhouse Square, Room 130
You are invited to the first autumn IADS study group on Thursday 12th September, 4pm - 5.30pm, Wolfson Institute, Charterhouse Square, Room 130. Topic: Statistical methods for adaptive trials and precision medicine in Rhumatology Speakers: Dr Steve Coad, Reader in Statistics and Dr Myles Lewis, Honorary Consultant Rheumatologist and Arthritis Research UK Clinician Scientist Fellow (William Harvey Research Institute) Steve Coad will give an introduction to some statistical methods for...
  Mon 9 Sep 2019
  11:00 - 12:00
Image: Professor Nati LinialSpecial Colloquium with Professor Nati Linial from the Hebrew University of Jerusalem.
MB-503 Seminar Room, Maths Building, Mile End Campus, Queen Mary University of London
The Institute of Applied Data Science is delighted to welcome to Queen Mary Professor Nati Linial from the School of Computer Science and Engineering, at the Hebrew University of Jerusalem. Abstract: In this talk I will discuss a higher-dimensional analog of graph theoretic trees. Hypertrees were first introduced by Kalai over 35 years ago, but many of their most basic properties still elude us. An acyclic graph on n vertices can have at most n-1 edges, and acyclic graphs with n vertices and...
  Wed 4
 - Fri 6 Sep 2019
Image: SemDial 2019Seminar: SemDial2019 workshop series
Queen Mary University of London, Mile End Rd, London E1 4NS, UK
SemDial 2019 is the 23rd Workshop on the Semantics and Pragmatics of Dialogue. This event aims to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. In 2019, the workshop is hosted by Queen Mary University of London by the Cognitive Science Group (CogSci), Computational Linguistics Lab and Human Interaction Lab and...
  Tue 3
 - Wed 4 Sep 2019
Image: Physics Challenges for Machine Learning and Network Science Workshop
Arts Two Lecture Theatre, Queen Mary University of London (Mile End Campus)
The last decades have witnessed a surge of activity in network science and machine learning and an unprecedented success in understanding and extracting information from big data. In 'Physics Challenges for Machine Learning and Network Science' we will explore the interface between Physics, Machine Learning and Network Science. We'll examine urgent questions including: What is the most efficient network architecture for a quantum computer, and which are the key structural universalities?...
  Mon 2
 - Fri 6 Sep 2019
Image: 2019 Intelligent Sensing Summer School2019 Intelligent Sensing Summer School
Francis Building 1.13, Bancroft Building, Queen Mary University of London, Mile End Road, London E1 4NS
This is a five-day event on advanced intelligent sensing and AI topics, including computer vision, machine listening, natural language processing and tactile sensing. http://cis.eecs.qmul.ac.uk/school2019.html Attendees will learn the most recent methodologies and application for each of the themes. Posters showcasing projects at the Centre for Intelligent Sensing will also be presented during the school. A hands-on activity (the CORSMAL Challenge) will see participants divided into groups...

August 2019

  Thu 29
 - Fri 30 Aug 2019
Image: VIHAR-2019 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots
Arts Two Lecture Theatre, Mile End Campus
VIHAR-2019 is the second international workshop on Vocal Interactivity in-and-between Humans, Animals and Robots. Taking place in London, UK on 29-30 August 2019, VIHAR-2019 aims to bring together researchers studying vocalisation and speech-based interaction in-and-between humans, animals and robots from a variety of different fields. VIHAR-2019 will provide an opportunity to share and discuss theoretical insights, best practices, tools and methodologies, and to identify common principles...

July 2019

  Tue 23 Jul 2019
  10:00 - 15:15
Image: Air Quality in Urban Areas: Harnessing Data to Breathe EasySeminar: Air Quality in Urban Areas: Harnessing Data to Breathe Easy
Centre for Commercial Law Studies Lecture Theatre, Queen Mary University of London, 67-69 Lincoln's Inn Fields, London WC2A 3JB
The subject of air quality has provoked much debate in the media, amongst policymakers, and within the public as concerns rise over the quality of the air we breathe both in our buildings and in our cities. Helping to answer questions surrounding the quality of our environments, Queen Mary University of London and the Alan Turing Institute presents Air Quality in Urban Areas: Harnessing Data to Breathe Easy. This one-day conference will explore the issue of air quality within buildings,...
  Wed 3
 - Fri 5 Jul 2019
Image: TAROS conference Conference: 20th 'Towards Autonomous Robotic Systems' Conference
Queen Mary University of London
The 20th TAROS conference will be hosted by the Centre for Advanced Robotics at Queen Mary University of London and supported by the Alan Turing Institute and the Institute of Applied Data Science. The event takes place from Wednesday 3rd to Friday 5th July 2019. A reminder that the regular rate for conference registration is only available until 2nd July 2019. TAROS is the longest running UK-hosted international conference on Robotics and Autonomous Systems (RAS), which is aimed at the...

June 2019

  Thu 13 Jun 2019
  13:00 - 14:00
Image: Dr Katharine Turner (ANU)Seminar: Injectivity results relating to the persistent homology transform and the Euler characteristic transform, with Katharine Turner (ANU)
Room W316, Queens' Building, Mile End Campus, Queen Mary University of London
Welcome to this seminar is by Dr Katharine Turner (ANU), Mathematical Sciences Institute, Australian National University. Katharine is active in research in Applied Mathematics, Statistics and Geometry and Topology. Abstract: The persistent homology transform (PHT) and the Euler characteristic transform (ECT) are two topological transforms that can be viewed as topological analogues of the Radon transform. They provide a way of summarising shapes in a topological, yet quantitative, way. They...
  Mon 10 Jun 2019
  09:00 - 17:00
Image: IBM - QMUL event on women in technology
Mile End Campus, Queen Mary University of London
Following initial sessions with the Institute of Applied Data Science and Careers & Enterprise with IBM UK, Queen Mary has been asked to host a university conference featuring women in technology, to be held here in June 2019 #BalanceforBetter. The conference will be on women in technology, with the theme #BalanceforBetter from this year’s International Women’s Day, and will be held on 10th June, Mile End campus. There will be Queen Mary female researchers in technology (in the broadest...

May 2019

  Thu 30 May 2019
  15:00 - 16:00
Image: Hormuzd A. KatkiQuantifying risk stratification provided by diagnostic tests and risk predictions: Application to population mutation screening Hormuzd A. Katki, National Cancer Institute
Wolfson Institute, Room 130
A property of diagnostic tests and risk models deserving more attention is risk stratification, defined as the ability of a test or model to separate those at high absolute risk of disease from those at low absolute risk. Risk stratification fills a gap between measures of classification (i.e. AUC) that do not require absolute risks and decision-analysis that requires not only absolute risks but also subjective specification of costs and utilities. We introduce Mean Risk Stratification (MRS) as...
  Thu 30 May 2019
  16:00 - 17:30
Image: Study Group in Data ScienceStudy Group in Data Science: Early Detection in Medicine & Strategies to Develop Risk Models
The Wolfson Institute, Charterhouse Square, Room 130, Queen Mary University of London
Leads: Dr Mark Freestone (Wolfson Institute) and Prof Norman Fenton (School of Electronic Engineering and Computer Science) will lead the discussions -introduced by Adam Brentnall (Wolfson Institute) Synopsis: This Study Group will continue the theme from last time on Early Detection in Medicine & Strategies to Develop Risk Models. The first hour of the session will be presentations from topic leads followed by 30 minutes of open discussion. If you would like to contribute a pre-planned...
  Fri 24 May 2019
  12:00 - 14:00
Image: Professor Albert-László BarabásiThe Formula: Quantifying Outcomes in Individual Careers, from Science to Art
Arts One Lecture Theatre, Queen Mary University of London, Mile End Road
The Institute of Applied Data Science at Queen Mary University of London presents: 'The Formula: Quantifying Outcomes in Individual Careers, from Science to Art', with Professor Albert-László Barabási, Institute of Network Science, Northeastern University and Division of Network Medicine, Harvard University. Common wisdom goes something like this: Performance drives success, hence work hard and success will follow. But as we’ve all witnessed, that’s not always the case. Here I aim...

April 2019

  Sat 13
 - Sun 14 Apr 2019
Image: Seminar: Athena Champion, Encourage and Inspire women in tech
People’s Palace, Queen Mary University of London, Mile End Campus
We welcome students, academics, and industry professionals from across the UK to participate in an interactive weekend of technology at Athena 2019 in the People’s Palace. The event aims to provide a platform for women in technology to inspire others to join the industry, to showcase talent, and highlight the breadth of opportunities in the sector for women. The event is open to Queen Mary staff and students and it’s free to attend, so please do come along if you can. For full...
  Tue 9 Apr 2019
  10:00 - 11:00
Image: Professor S. WeinbergerThree faces of applied topology, with Professor S. Weinberger (University of Chicago)
Queen Mary Mile End campus, Queens' Building, Room W316
On Tuesday April 9 at 10.00 we shall have a special IADS colloquium lecture given by Professor S. Weinberger (University of Chicago). Title: Three faces of applied topology Abstract: Topology is a mathematical tool that enables the study of irregular and occasionally imprecisely described objects: it’s the “rubber sheet geometry”. By providing a methodology that abstracts away the need for the knowledge of the values of functions, it has a different feel than, say, analysis. In...

March 2019

  Wed 20 Mar 2019
  15:00 - 16:30
Image: Dr Ruth Ahnert The IADS Colloquium - with Dr Ruth Ahnert & Dr William Marsh
Laws:1.12, Mile End Campus, Queen Mary University of London
We are honoured to have two speakers presenting at our sixth colloquium. Although they are prominent in very different disciplines, they are connected through a strong affiliation with the Alan Turing Institute. Firstly, we present Dr Ruth Ahnert, Senior Lecturer in Renaissance Studies, from the Faculty of Humanities and Social Sciences with her talk - 'Living with Machines'. Ruth Ahnert will be talking about a new AHRC-funded project, Living with Machines, which is based at the Alan...

February 2019

  Wed 27 Feb 2019
  12:00 - 13:30
Image: Andrea CavallaroLunchtime IADS Colloquium - Privacy-preserving Multimodal Learning, with Professor Andrea Cavallaro
G O Jones, Room 610 - Mile End Campus, Queen Mary University of London
For our next colloquium, we welcome Andrea Cavallaro, Professor in Multimedia Signal Processing & Turing Fellow. Andrea is also the Director of Centre for Intelligent Sensing as well as being Principal Investigator on the project 'Privacy-preserving Multimodal Learning for Activity Recognition (PRIMULA)'. Abstract: Miniature high-quality cameras are increasingly worn by people, mounted on handlebars, dashboards, mini-drones, and in your smartphone. The pervasiveness of cameras and associated...
  Wed 6 Feb 2019
  15:00 - 16:30
Image: Dr Michael BarnesThe IADS colloquium 'AI in Precision Medicine' with Dr Michael Barnes, William Harvey Research Institute and Professor Richard Ashcroft, Department of Law at Queen Mary
Charterhouse Square – Room, John Vane, Willoughby Lecture Theatre, Queen Mary University of London
We have two renowned speakers presenting at this Colloquium. Firstly, Michael Barnes, a Turing Fellow and Director of Bioinformatics, Centre for Translational Bioinformatics, William Harvey Research Institute at the Barts and The London School of Medicine and Dentistry, Queen Mary University of London will present 'AI in Precision Medicine'. And secondly, we welcome Professor Richard Ashcroft who teaches medical law and ethics at both undergraduate and postgraduate level in the Department...

January 2019

  Wed 16 Jan 2019
  15:00 - 16:30
Image: Dr Peter BraamThe IADS Colloquium - 'Data Processing for the SKA Telescope' with multidisciplinary innovator Dr Peter Braam
Laws:1.12, Mile End Campus, Queen Mary University of London
For our next colloquium, we welcome Dr Peter Braam - multidisciplinary innovator covering computing, data and science. Peter is a recognised global leader in computing and was a senior academic at Oxford University where he studied, researched and published with world leading mathematicians and physicists. Abstract: The SKA radio telescope will be a massive world class scientific instrument, currently under design by a world wide consortium, to progress to full operation in South Africa and...
  Wed 16 Jan 2019
  15:30 - 17:00
Image: Early detection in medicineStudy Group on Data Science for Early Detection in Medicine
The Wolfson Institute, Charterhouse Square, Room 130, Queen Mary University of London
Meeting topic: Strategies for risk model variable selection: examples from women's health research in breast cancer and obstetrics Leads: Stamatina Iliodromiti, Jahnavi Daru, John Allotey (all QMUL, Blizard Institute Of Cell And Molecular Science), Adam Brentnall (QMUL, Wolfson Institute) Synopsis: The meeting will present examples on how variable selection for risk models has been undertaken in women's health, from both clinical and statistical viewpoints. The first hour of the...

December 2018

  Tue 18 Dec 2018
  14:00 - 17:00
Image: Using Data To Improve Cardiovascular CareSeminar: Using Data To Improve Cardiovascular Care
The Great Hall, St Bartholomew’s Hospital, EC1A 7BE
You are invited to an Industry Event - 'Using Data To Improve Cardiovascular Care' The CVD-hub of the Bart’s Heart Centre is increasing momentum after its start 2 years ago. It has successfully organised several meetings to enhance interaction between engineers, academics and clinical scientists. A parallel but equally important development is the interaction between Industry. At this moment >30 small and large companies are collaborating with the CVD-hub. And these companies are...
  Thu 13 Dec 2018
  15:00 - 16:00
Image: Dr Antoine CullySeminar: Quality-Diversity Optimisation: Learning large sets of diverse and high-performing solutions in robotics
PP2 People's Palace, Mile End Campus, Queen Mary University of London
The Centre for Advanced Robotics @Queen Mary and The Institute of Applied Data Science bring you a seminar at the intersection of artificial intelligence and robotics with Dr Antoine Cully (Imperial): Abstract: The optimisation of functions to find the best solution according to one or several objectives has a central role in many engineering and research fields. Recently, a new family of optimisation algorithms, named Quality-Diversity optimisation, has been introduced, and contrasts with...
  Wed 12 Dec 2018
  15:00 - 16:30
Image:  The IADS colloquium - Sensing, Modelling and Understanding Human Behaviour from Mobile Data
PP1 People's Palace, Mile End Campus, Queen Mary University of London
Our third colloquium features as its guest presenter Mirco Musolesi, Reader in Data Science at UCL and Turing Fellow at the Alan Turing Institute - the event is open to everyone. Abstract: In the recent years, the emergence and widespread adoption of new technologies from social media to smartphones are rapidly changing the social sciences, since they allow researchers to analyse, study and model human behaviour at a scale and at a granularity that were unthinkable just a few years ago. These...

November 2018

  Wed 14 Nov 2018
  15:00 - 16:30
Image: The IADS colloquiumThe IADS Colloquium - 'Soft Robots Interacting with the World' & 'Data Science of Cancer Genomes'
Francis Bancroft Room 2.40, Mile End Campus, Queen Mary University of London
The second in the IADS colloquium series brings you presentations by two leading researchers - Kaspar Althoefer, Professor of Robotics Engineering, from Queen Mary University of London and Trevor Graham, Professor of Cancer Evolution at the Barts Cancer Institute. Kaspar Althoefer -' Soft Robots Interacting with the World' Abstract: Over the last decade, there has been a renaissance in soft material robotics reviving and extending from early attempts in the 1980s and 90s, with current...
  Wed 14 Nov 2018
  17:30 - 19:00
Image: Risk Assessment and Decision Analysis with Bayesian NetworksBook launch reception
The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB
To celebrate the launch of the Second Edition of their book "Risk Assessment and Decision Analysis with Bayesian Networks" Turing Fellows Norman Fenton and Martin Neil invite you to a drinks reception at The Alan Turing Institute. Entry is by ticket and registration is through the Eventbrite link below. Enter through main Library entrance and come to The Alan Turing Institute on the first floor.
  Mon 12 Nov 2018
  10:00 - 10:45
Image: Professor Alex MijatovichSeminar: Mathematical Foundation of Data Centric Engineering
Bancroft – Room 3.40, Mile End Campus, Queen Mary University of London
We welcome Professor Alex Mijatovich from the University of Warwick. He is one of the strategic leaders of the Data Centric Engineering Programme of the Turing Institute and is responsible for the "Mathematical Foundations". Alex’s visit will be a great opportunity for us to learn about his Research Programme which involves many resources and many researchers. We aim to establish collaborations between the researchers of QMUL and researchers from the other university partners of the Turing...

October 2018

  Wed 24 Oct 2018
  16:00 - 17:30
Image: Professor Mark GirolamiData centric Engineering: Hype, Hoax, or Hope? with Professor Mark Girolami
David Sizer Lecture Theatre , Bancroft Building Mile End, Queen Mary University of London
The first of our distinguished IADS colloquium speakers is Professor Mark Girolami, Programme Director for the Alan Turing Institute-Lloyd’s Register Foundation Programme in Data-Centric Engineering. Title: “Data centric Engineering: Hype, Hoax, or Hope?” Abstract: Lord Kelvin is attributed to stating that “To Measure is to Know”. The role of empirical observation and data has always been core to the engineering sciences and associated professions. So what does Data Centric...
  Wed 17 Oct 2018
  16:00 - 17:00
Image: Professor Alexander Lubotzky'High dimensional expanders' is the next seminar with prominent mathematician Professor Alexander Lubotzky
G. O. Jones Room 610, Mile End Campus, Queen Mary University of London
Abstract: Expander graphs in general, and Ramanujan graphs in particular, have been the focus of a lot of research in the last five decades. It has probably been the area with the most fruitful interaction between mathematics and computer science, where applications go both ways. In recent years a high dimensional theory of expanders has started to emerge. We will survey some of its challenges and achievements and try to explain why this is not just a generalisation but also an area which...
  Fri 5 Oct 2018
  14:05 - 13:05
Image: Bioinformatics 'Bgee: how to extract knowledge from gene expression data' & 'Bioinformatics at Repositive: My journey to Repositive and what we are doing'
Fogg Building 1.02, Mile End Campus, Queen Mary
Friday from 14:05 in Fogg Building 1.02 we'll be hosting two speakers (~ 30 mins each) - 'Bgee: how to extract knowledge from gene expression data' Frederic Bastian, Bioinformatician, Robinson-Rechavi lab Swiss Institute of Bioinformatics & University of Lausanne. (see also http://bgee.org ) - 'Bioinformatics at Repositive: My journey to Repositive and what we are doing' Richard Shaw, Senior Bioinformatician, Respositive.io (formerly at Illumina). http:/...

September 2018

  Fri 21 Sep 2018
  09:00 - 16:30
Image: The Challenges of Data Science  2018 audience view
Conference: Challenges of Data Science 2018
Mason Lecture Theatre, Bancroft Building, Queen Mary University of London, Mile End Road, London E1 4NS
Challenges of Data Science 2018 takes place at Queen Mary University of London (QMUL). This conference will survey main achievements and societal, scientific and industrial challenges of various aspects of big data and AI relevant to the Institute of Applied Data Science (IADS) of QMUL. With support from The Alan Turing Institute. TIMES 09.15 - 10.00 Dr Chris Yau, University of Birmingham: ‘The Lure of Data Science, Deep Learning, AI and all the other buzz words’ 10.05 - 10.50 Dr...

July 2018

  Mon 9 Jul 2018
  14:00 - 15:00
Image: Dr Giovanni Petri 
Seminar: Topological data analysis for biology and neuroscience with Dr Giovanni Petri, ISI Italy
Mile End Campus, Queen Mary University of London, Queens' Building, Room E303
Abstract: Topology, one of the oldest branches of mathematics, provides an expressive and affordable language which is progressively pervading many areas of biology, computer science and physics. In this context, topological data analysis (TDA) tools have emerged as able to provide insights into high-dimensional, noisy and non-linear datasets coming from very different subjects. Here I will introduce two TDA tools, persistent homology and Mapper, and illustrate what novel insights they...

June 2018

  Thu 14 Jun 2018
  09:30 - 16:00
Image: The Science and Engineering South Consortium (SES)Seminar: Data Mining: Exploring the Ethical Dilemmas
The University of Southampton, Garden Court (Building 40), Highfield Campus, Southampton, SO17 1BJ
Data Mining: Exploring the Ethical Dilemmas This event focuses on researchers who employ data mining techniques in their work. In this thematic context we aim to better understand the cross-disciplinary practice of data mining and its associated implications, such as privacy issues, ethics and the interplay with open data. PhD students as well as early career and experienced researchers from around the UK will come together to explore how they manage data that they have created when...
  Wed 13 Jun 2018
  14:00 - 15:00
Image: Ruth Kaufman OBESpecial Lecture, 'Operational Research today: strengths and opportunities' with Ruth Kaufman OBE
David Sizer Lecture Theatre, Mile End Campus, Queen Mary University of London
Why employ operational research (O.R.) and artificial intelligence (A.I.) and what is the difference? When O.R. first appeared, as a response to the urgent needs of the war effort, there was no thought of it evolving into a discipline in its own right, or one that would flourish within universities. On the contrary - O.R. consisted of bringing scientists together from across the range of other disciplines, and taking them out of the university into the field. The original operating model as...

May 2018

  Fri 11 May 2018
  12:00 - 14:00
Image: Town Hall Introducing the Alan Turing Institute
Arts Two, Main Lecture Theatre, Mile End Campus, Queen Mary University of London
Town Hall at 12:00, ARTS TWO LECTURE THEATRE Buffet Lunch at 13:00, ARTS TWO FOYER Queen Mary is about to join the Alan Turing Institute, the national institute for data science and Artificial Intelligence, as a university partner later this year. The Institute was founded by Cambridge, Edinburgh, Oxford, UCL and Warwick. We will be joining with Birmingham, Exeter, Leeds, Manchester and Newcastle. This represents a £5M investment for the University and it presents us with a major...
  Tue 8 May 2018
  17:00 - 18:00
Image: Dr Sue Black OBESeminar: Garriott Lecture - 'Did Twitter save Bletchley Park?' with Dr Sue Black OBE
Arts Two Main Lecture Theatre, Mile End Campus, Queen Mary University of London
Garriott Lecture, in Arts Two, with Dr Sue Black – activist, digital evangelist and campaigner who led the charge to preserve Bletchley Park, the historical British code-breaking base. The roots of Data Science were established during World War II in the pioneering work of Alan Turing and the codebreakers of Bletchley Park who produced vital intelligence in support of Allied military operations on land, at sea and in the air. Bletchley Park also heralded the birth of the information age...