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Insight Masterclass Series

Masterclass Series

Insight is pleased to offer a Masterclass lecture series to our colleagues in industry. These are short, focused presentations of between 30 and 40 minutes offered by some of Insight’s leading researchers and scientists. These can be given as a bundle (with one, two or three presentations bundled together making up a 2-hour session), or as single presentations. The Masterclasses can form part of a company event such as an away day, or can be an in-house activity like a breakfast briefing, brown bag lunch, technical afternoon session or whatever suits a company. Masterclasses are part of Insight’s company outreach activities and there is no fee or expense policy for this. Below is the current list of Masterclass speakers and topics.

If you or your company are interested in discussing availability of speakers then please contact Masterclasses@Insight-Centre.org.

You can also download the Masterclasses brochure here or jump to past Masterclasses with testimonials here.

 

 Masterclass Topics

 Automatic analysis of visual media (image and video), using machine learning for automatic description and captioning of images

 

 Biographical Highlights

  • Professor of Computing at DCU since 1997
  • Over 600 publications and 12,400 citations, h-index 56 on Google SCHOLAR
  • Expertise in analysis, indexing and retrieval of all kinds of visual media, especially video
  • Member of the Royal Irish Academy, winner of Academy's Gold Medal for Engineering Sciences 2015
  • Board member of Irish Research Council, member of Scientific Committee for COST (€300M EU funds)
  • Shortlisted by Irish Software Association for Outstanding Academic Achievement of the Year, 2015

Professor Alan Smeaton

Director Insight, DCU

 


 

 Masterclass Topics

 Human movement and activity understanding from wearables and instrumented environments, for applications in connected health, security, sports performance analysis and gaming.

 

 Biographical Highlights

  • Professor of Electronic Engineering at DCU
  • Academic Director of DCU's Research & Enterprise Hub on Information Technology and the Digital Society
  • Expertise in computer vision, especially 3D processing, and his research interests are in audio-visual (AV) analysis for content-based information retrieval.
  • Almost 5,000 citations to his published work, h-index 34 on Google SCHOLAR
  • Also has expertise in any applications for wearable sensors, sensors as used in applications in sports

Professor Noel O’Connor

Principal Investigator Insight, DCU

 


 

 Masterclass Topics

Lifelogging, experiences from a decade of recording the self. Digital recording/logging of day-to-day activities for applications in behaviour change, security, memory support, etc.

 

 Biographical Highlights

  • Senior Lecturer in Computing at Dublin City University
  • Over 200 publications, nearly 2,000 citations and an h-index of 25
  • Expertise in multimedia data analysis and retrieval, especially personal media and sensor data.. He is generally regarded as a research leader in the area of lifelogging.
  • Over €2M funding secured from SFI, EI, EU and other international sources
  • International collaborations in EU, Asia and the US.
  • Extensive media appearances in recent years, on the BBC, Discovery Channel, NHK, and other international periodicals and print media.

Dr. Cathal Gurrin

Principal Investigator Insight, DCU

 


 

 Masterclass Topics

  Smart Cities/IoT Overview; Data Visualisation (Hall of Shame/Hall of Fame); security; data capture; multimedia content analysis

 

 Biographical Highlights

  • Lecturer, School of Computing at DCU
  • Co-programme chair BSc Data Science, DCU
  • Over 600 citations, h-index 11 on Google SCHOLAR
  • Expertise in multimedia semantics, information retrieval, computer vision
  • Experience in application domains including e-science, digital education technology, security, instrumented vehicles, internet of things
  • Wide network through EU and international projects (9); Reviewer for EU COST actions

Dr. Suzanne Little

Funded Investigator Insight, DCU

 


 

 Masterclass Topics

 How can we use Data Analytics to improve performance in the Agri Sector

 

 Biographical Highlights

  • Lead PI for DATAS Project and Co-PI for a SFI Targeted Project in conjunction with the Kepak Group in the area of Predictive analytics. Collaborator with Future Milk
  • Interests include Predictive and real time analytics specifically in the agri sector
  • Expertise in the Area of Agri Analytics with particular focus in real time analytics
  • 15 years experience in the agri sector as a MD of a mid sized company
  • Member of the EU management committee for Mathematical and Computer Science Methods for Food Science and Industry

Dr. Andrew McCarren

Lecturer in Computing, DCU

 


 

 Masterclass Topics

 Practical Data Warehousing Design

 

 Biographical Highlights

  • Senior Lecturer in Computing at DCU since 1994 and currently Dean of Research for the Faculty of Engineering & Computing
  • Software Engineer in the IT sector between 1985 and 1994, working for US and Japanese multinationals
  • Expertise in Data Integration & Interoperability, Data Warehousing & Data Mining
  • Secured €2.6 M in funding various research projects in healthcare, sports science and smart cities.
  • Over 100 publications to date
  • Coordinates judging for the CoderDojo Coolest Projects event, a free tech event for the world's youngest innovators, creators and entrepreneurs

Dr. Mark Roantree

Funded Investigator Insight, DCU

 


 

 Masterclass Topics

 Managing Data Quality

 

 Biographical Highlights

  • Senior Lecturer at DCU and Director Business Informatics Research Group
  • Data Quality, Enterprise Architecture, Data Privacy, Service Management, Process Management
  • Smart Cities, Finance Industry, Health, Retail and Education
  • Over 200 peer-reviewed publications and edited Books related to Data Management, Cloud Computing and Service Science  
  • Total Funding of 2.4M€ and SFI FI @Lero for Smart Cities Reference Architectures
  • Conference Chair of International Conference on Cloud Computing and Services Science
  • Research Affiliate at The Open Government Institute (TOGI) and Member of Standards committee on IT Service Management and IT Governance

Dr. Markus Helfert

Funded Investigator Insight, DCU

 


 

 Masterclass Topics

 Deep learning for image and video understanding

 

 Biographical Highlights

  • Expertise in machine learning, deep learning, computer vision, image processing, image understanding, multimedia information retrieval, interactive systems
  • Over 50 peer-reviewed publications (incl. CVPR, ICMR, ICIP), 450 citations, h-Index 10. Two patents. Best paper award MMM 2016, best poster award ICMR 2016
  • 6 DCU Invent awards for industry engagement and commercialization
  • PC member for SIGIR, ACM Multimedia, MMM, ECIR, AIRS, WIAMIS, iHCI, IMVIP, AIRS. Reviewer for top conferences and journals (e.g. NIPS, IEEE Transactions on Multimedia)
  • Significant teaching experience, including 2016 Summer School on Deep Learning for Computer Vision. UPC Barcelona (video lectures available on YouTube)
  • Project lead or collaborator on several open source projects

Dr. Kevin McGuinness

Investigator Insight, DCU

 


 

 Masterclass Topics

 Data analytics based on biomedical semantic technologies

 

 Biographical Highlights

  • Established Chair in Data Analytics at NUI Galway, 150+ publications, H-Index: 35
  • Research focus in the use of semantic technologies for knowledge discovery and data analytics
  • Specific research interests: biomedical ontologies, their use for data classification, data modelling, biomedical literature analysis
  • Contributor/Leader in Elixir, biomedical data services, translational medicine, knowledge discovery solutions

Prof. Dr. Dietrich Rebholz-Schuhmann

Director Insight, NUIG

 


 

 Masterclass Topics

 Web Mining: graph and network analytic approaches to extracting information from the Web. Topics include: graph theory, network modeling, social network analysis, community-finding techniques, models of information diffusion, link prediction, evaluation techniques

 

 Biographical Highlights

  • Lecturer-above-the bar at NUI Galway
  • Course Director, MSc in Computer Science (Data Analytics) at NUI Galway
  • >90 publications with >1400 citations, h-index 22 on Google SCHOLAR
  • Expertise in Web-mining, Web Science, Social Network analysis, Recommender systems, Linked Data Analytics
  • >€2.5m research funding, from EI, SFI, EU (2007-present)

Dr. Conor Hayes

Principal Investigator Insight, NUIG

 


 

 Masterclass Topics

 Natural Language Processing, specifically semantic-based approaches.

 

 Biographical Highlights

  • Senior Lecturer at the National University of Ireland, Galway (NUIG), vice-director of the Insight Centre for Data Analytics at NUIG and head of the Insight Unit for Natural Language Processing
  • Research interests are in the development and use of Natural Language Processing methods and solutions for semantic-based information access
  • Over 4,200 citations and an h-index of 30 on Google SCHOLAR

Dr. Paul Buitelaar

Principal Investigator Insight, NUIG

 


 

 Masterclass Topics

 Open Source & Semantic-enabled, Industrial Internet of Things, Open Source Initiatives and Stream Processing

 

 Biographical Highlights

  • IoT and Stream Processing Unit Head at Insight, NUIG
  • Board member at the Smart Cities OASC Initiative
  • 15+ years experience in industry and applied research FP5-FP7, H2020 projects
  • Listed amongst key 25 People influencing the Internet of Things in 2015 by Silicon Republic
  • Shortlisted by Irish Software Association for Outstanding Academic Achievement of the Year, 2014

Dr. Martin Serrano

Principal Investigator Insight, NUIG

 


 

 Masterclass Topics

 Artificial Intelligence for specific applications including Optimisation and Decision-making; Constraints and Boolean Satisfiability; Public Service design and delivery; Scheduling, timetabling, planning; Data Centre Optimisation; Energy price/demand prediction and scheduling

 

 Biographical Highlights

  • Professor in the Department of Computer Science at University College Cork where he holds the Chair of Constraint Programming and was Head of Department from September 2012 to August 2015.
  • Responsible for Insight's strategic engagement in European initiatives, such as Horizon 2020
  • Vice Chair of the European Association for Artificial Intelligence (EurAI), Fellow of EurAI and a Senior Member of AAAI, the Association for the Advancement of Artificial Intelligence
  • President of the International Association for Constraint Programming from 2007-2012.
  • In 2013 he received a UCC Leadership Award and won the Association for Constraint Programming Distinguished Service Award in 2014.

Prof. Barry O'Sullivan

Director Insight, UCC

 


 

 Masterclass Topics

 Constraint Programming: What is it and what is it good for?

 

 Biographical Highlights

  • Has been working on constraint programming for over 20 years.
  • A member of the CHIP project at ECRC in Munich, co-founder and technical director for COSYTEC in Orsay, and a principal research fellow at Imperial College London, as well as working for start-up companies Parc Technologies and CrossCore before joining 4C, and more recently Insight.
  • Main interests are applications of constraint programming and debugging and visualization techniques for finite domain solvers with global constraints.
  • President of the Association for Constraint Programming.

Dr. Helmut Simonis

Senior Research Fellow Insight, UCC

 


 

 Masterclass Topics

 Explanations in recommender systems (the 'right to an explanation', which algorithms are explainable, interpretability, fidelity) and beyond-accuracy in recommender systems (diversity, novelty, coverage, serendipity, popularity, the long tail)

 

 Biographical Highlights

  • Derek Bridge holds a B.Sc. in Computer Science from Brunel University, and a Ph.D. in Computer Science from the University of Cambridge
  • Derek's research work spans many areas including: natural language processing, machine learning, formal concept analysis and ant algorithms but he is best known for his work in case-based reasoning and recommender systems
  • In 2003, he was Programme Co-chair of ICCBR and its Chair in 2014. In 2008 he was Programme Co-chair of the ACM Conference on Recommender Systems. In 2005, he was one of the invited speakers at ICCBR, and he has won five best paper prizes.
  • Elected the first Chair-person of the Artificial Intelligence Association of Ireland, serving two terms (2001-2007). From 2008, he has served on the Steering Committee for the ACM Recommender Systems community, and from 2012 he has been an associate editor of the ACM Transactions on Interactive Intelligent Systems.

Dr. Derek Bridge

Funded Investigator Insight, UCC

 


 

 Masterclass Topics

 Challenges and techniques associated with optimising the design of networks for applications including telecoms, transportation, energy infrastructure, etc.

 

 Biographical Highlights

  • Awarded his PhD from  Université Catholique de Louvain
  • During the last 6 years has worked on combinatorial optimization problems involved in the configuration of optical networks as part of the FP7 DISCUS project (http://www.discus-fp7.eu).
  • Previously worked on the personalisation of context-aware telecommunication services in a project funded by the IRCSET-Embark Initiative and British Telecom.

Dr. Luis Quesada

Research Support Officer, UCC

 


 

 Masterclass Topics

 Boolean Satisfiability and Constraint Programming: Combining forces to solve hard combinatorial problems

 

 Biographical Highlights

  • PhD. in Computer Science, University of Toulouse on hybrid CP/SAT techniques for solving scheduling and sequencing problems
  • Interested in solving hard combinatorial problems, formulating and revisiting global constraints, and Boolean Satisfiability
  • Applications domains are diverse areas such as scheduling, sequencing, hardware/software verification, matching under preferences, etc

Dr. Mohamed Siala

Post-Doctoral Researcher Insight, UCC

 


 

 Masterclass Topics

 Wearables - Can we make any real use of them ?

 

 Biographical Highlights

  • Leads University College Dublin’s Connected Health Programme
  • PI in Ireland’s industry led Connected Health Technology Centre, ARCH (www.arch.ie)
  • A physiotherapist by training, and is the current Dean of Physiotherapy at UCD
  • A champion for a Connected Health ecosystem in Ireland and has forged strong relationships with key clinicians, industry leaders, policy makers and research groups to drive advances in the field
  • Has worked with a range of multinational and start-up companies such as BioMedical Research Ltd, Fujitsu Laboratories, Novartis, and Shimmer to deliver innovative technology enabled solutions for areas such as sports performance analysis and enhancement, rehabilitation medicine, COPD, and gerontology
  • His research has led to significant commercial opportunities in terms of exploitation of intellectual property by industry partners and spin out activity

Prof. Brian Caulfield

Director Insight, UCD

 


 

 Masterclass Topics

 Bayesian statistics: a short walk through probabilistic statistical modelling and inference

 

 Biographical Highlights

  • Professor of Statistics in UCD
  • Adjunct Professor, Queensland University of Technology, Australia
  • Expertise in Bayesian statistics, statistical analysis of network data, and applications
  • 50 journal publications; h-index of 19

Prof. Nial Friel

Principal Investigator Insight, UCD

 


 

 Masterclass Topics

 Data Clustering: Techniques and Applications

 

 Biographical Highlights

  • Professor of Statistics at UCD
  • Expertise in Clustering, Classification, Network Analysis and Bayesian Methods
  • Over 1600 citations and a h-index of 25
  • Editor for Social Sciences & Government for Annals of Applied Statistics
  • American Statistical Association Statistics in Chemistry Award (2011) Elected member of International Statistical Insititute (2011)

Prof. Brendan Murphy

Funded Investigator Insight, UCD

 


 

 Masterclass Topics

 Text mining, covering text pre-processing, text classification, sentiment analysis, topic modeling & document clustering

 

 Biographical Highlights

  • General application of both supervised and unsupervised machine learning algorithms across a variety of domains
  • Development of new text mining methods to support the exploration and curation of content produced by users of social media platforms such as Twitter, to assist in tasks such as online journalism
  • Development of new algorithms for the analysis of small-scale and large-scale social networks
  • Applications of recommender systems in the online news and financial technology fields
  • Lectures in UCD on machine learning and practical data science with Python

Dr. Derek Greene

Funded Investigator Insight, UCD

 


 

 Masterclass Topics

 Machine Learning for Predictive Analytics. Using material from his recently published textbook, Fundamentals of Machine Learning for Predictive Data Analytics (www.machinlearningbook.com), Dr. Mac Namee will discuss the most important machine learning techniques for predictive analytics, the types of tasks for which predictive analytics is best suited, and some guidelines for running successful predictive analytics projects

 

 Biographical Highlights

  • Lecturer at University College Dublin School of Computer Science
  • Expertise in machine learning, predictive analytics and data visualisation
  • Co-author of the textbook “Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples and Case Studies” published with MIT Press in 2015
  • Delivered the 2016 Royal Irish Academy Computing Engineering & Computer Science Lecture Series across the country

Dr. Brian MacNamee

Funded Investigator Insight, UCD

 


 

 Masterclass Topics

 Mining real-world data: mistakes you must avoid and how to perform large scale data mining (based on past work with Eircom, Vodafone, Ericsson, Citibank)

 

 Biographical Highlights

  • Professor of Computer Science at UCD since 2009
  • Over 250 publications, 2700 citations, h-index 24
  • Expertise in data mining, distributed systems, Cloud Computing, distributed data analytics, Digital Forensics and cybercrime Investigations
  • Associate Editor of Future Generation of Computer Systems Journal
  • Member of ACM and IEEE Computer Society

Prof. Tahar Kechadi

Funded Investigator Insight, UCD

 


 

Testimonials

Date Company Testimonial
July 2016 RTÉ "The depth of knowledge from Alan's team is formidable. Participants had their eyes open to possibilities in a no-nonsense, jargon-free way. Very enjoyable." – Aidan McCullen, Head of Innovation Partnerships and Funding, RTÉ, on Alan Smeaton's presentation on machine learning in media analytics.
     
September 2016 Fidelity Investments Ireland "An impressive list of speakers ... talk was well prepared and was very well received - the organizing committee had a lot of positive feedback -  you can generally measure the success of a talk by the level of engagement and questions afterwards so the fact that we have to call time on the Q&A is a sign of how engaged the audience were."   Philip Smith, Principal Systems Analyst, Fidelity Investments Ireland, speaking about Derek Greene's presentation on recommender systems.
     
September 2016 SAP "The talk from Derek hit the spot exactly for the Innovation event. With a diverse audience Derek took the group through the journey of how machine learning started, where it is now and where it is going. He engaged the audience through out and all questions were answered in a clear and concise fashion.  Overall the experience was very positive" – Allan Hughes, SAP Solutions Specialist speaking about Derek Greene's presentation on recommender systems.
     
September 2016 Accenture "Brian’s talk greatly benefited a wide cross-section of our innovation community: non-experts gained intuition about which types of use-case are amenable to machine learning; experts learned a thing or two about the succinct presentation such methods."  – Diarmuid Cahalane, PhD, Lead Research Scientist, Accenture Technology Labs, Dublin, speaking of Dr. Brian MacNamee.
     
October 2016 Pallas Foods "Speaking to a non-technical audience, Andrew very clearly explained the benefits of employing predictive analytics techniques. Using industry experience, he was able to show real world examples of how data can help to drive the decision making process. It was a very engaging and enlightening presentation"  –  Karl Tapley, Application Development Manager, Pallas Foods, speaking of Dr. Andrew Mccarren's presentation
     
November 2016 Surveillance, Animal By-products and TSE Division, Dept of Agriculture, Food and the Marine. Dr. Andrew McCarren's presenatation to DAFM on data analytics in the agri-food sector
     
December 2016 Boston Scientific Galway "... a very successful and enjoyable presentation by Prof. Dietrich Rebholz Schuhmann ... a stimulating talk and exposed the audience to a new world of data analytics that we were not fully aware of.  It has got us thinking about applications. Thank you for the great initiative" – Aiden Flanagan, Corporate Research, Boston Scientific
     
February 2017 Boston Scientific Galway Dr. Brian Mac Namee's presentation on machine learning.
     
February 2017 Huawei Profs Barry O'Sullivan, Noel O'Connor and Alan Smeaton gave a series of masterclass presentations to visiting dignatories from Huawei, China, on the topic of Artificial Intelligence and its applications.
     
February 2017 Travelport Dr. Brian Mac Namee gave a presentation on machine learning to a Travelport company gathering
     
February/March 2017 Schneider Electric, Bank of Ireland, Ingersoll Rand, and others Dr. John Breslin delivers TechInnovate Intrapreneurship / industry training as a series of 10 workshops to a group of companies.
       
March 2017 Analytics Institute () Dr. Georgiana Ifrim presented to the Analytics Institute on "Machine Learning Methods for News and Social Media Streams".