The 1st International Symposium on Human Mental Workload: Models and Applications (H-WORKLOAD 2017) will be held in Dublin (June 28-30, 2017) at Dublin Institute of Technology, Ireland.
We encourage researchers and practitioners to present late-breaking work submission as it can provide a valuable opportunity for sharing ideas and fostering discussions and collaborations among colleagues.
Guidelines on paper preparation and submission can be found here.
All accepted speakers must register for the conference to be included in the final programme and proceedings.
The late submissions can take the form of :
- Short papers,
- Extended abstracts
- Demo and Poster
A short paper is a much more focused and succinct contribution to the field of mental workload and should convey a scientific result. Short papers are not expected to include a discussion of related work that is as broad and complete as that of full papers.
The page limit is 6 (references do not count toward the page limit).
Accepted short papers will be presented at the conference and included in the conference proceeding.
Extended abstracts, demos and posters:
All submissions in this area should provide the opportunity to share work in progress or interim results that may not lend themselves to be presented as a full length research paper or as short paper submission yet.
The demonstrations track complements the overall program of the conference. Demonstrations show implementations of novel, interesting, and important technologies or software which can serve for the purpose of mental workload measurement.
The page limit for extended abstracts and demos is 2 pages (references do not count toward the page limit). Submitting this 2-page contribution is not required but a poster must be submitted anyway through the online system as a pdf in the format 120cm x 147cm (47” x 58”). Poster boards and fixing material will be provided to mount your posters during the conference.
Accepted extended abstracts and demos will appear in the conference proceedings
Note: just a small selection of best short papers might be considered to be published in the planned Springer Volume
DIT Computing 2017, For More information contact: Dr Luca Longo firstname.lastname@example.org
HubLinked Seminar - University-Industry Interactions for Software Innovation
DIT School of Computing, on behalf of the HubLinked Knowledge Alliance, recently held a seminar on University-Industry Interactions for Software Innovation.
The seminar included presentations on
effective models for university-industry interactions - Ciaran O'Leary (DIT)
participatory design for product innovation - Pearl O'Rourke (DIT)
the perspectives of both SMEs and major multinationals on U-I Interactions - Alan Fahey (SAP)
the Global Classroom - a unique curriculum innovation - Dr Paul Doyle (DIT)
mapping key relationships in cluster eco-systems for policy development - Dr John Hobbs (CIT)
- University SME Interactions - Margaret Mulligan (EBN)
- European funding opportunities in the Digital Skills area - Gianluca Coppola - (DLearn)
Gianluca Coppola of DLearn giving his presentation on EU funding opportunities in the Digital Skills area
The Seminar held on Friday 20th January in our Aungier Street Campus kicked off the the wider 'Hublinked' Project an ongoing collaboration between DIT and a host of partner institutions from across Europe and Korea. The seminar itself was run in conjunction with the 3 day visit to DIT of representatives of DIT's partners institutions in the Hublinked Knowledge Alliance. These included representatives from
· University of Applied Sciences Darmstadt (Germany)
· Telecom Sud-Paris (France)
· University of Applied Sciences Oulu (Finland)
· Mälardalen University (Sweden)
· University of Ljubljana (Slovenia)
· SAP SSC (Ireland)
· Irish Small and Medium Enterprises Association (Ireland)
· Eurocrea Merchant (Italy)
· European Business Network (Belgium)
· Kyungpook University (Korea)
DIT School of Computing, 21st January 2017. For further information please contact Deirdre Lillis (email@example.com)
Keynote Speaker: Dr Max Talanov
How to make a machine feel an emotion?
Dr Max Talanov of Kazan Federal Univesity in Russia is set to give a keynote talk in DIT Kevin Street on the 1st December as part of the School of Computing's Ideas Seminar Series. Dr Talanov is a renowned Computer Scientist who specialises in the fields of affective computing, computational neurobiology, brain simulations, machine cognition, natural language processing and probabilistic reasoning. Currently he has the position as the Deputy director for science at the Information Technology and Information Systems institute (ITIS) of Kazan Federal University in Russia, where he runs cross-disciplinary projects in simulation of emotions, human-robot interface, bio-electronics, brain simulation framework, machine cognition and natural language processing. Dr Talanov also has extensive industry experience where he worked as a software architect and team leader for 16 years in international projects in Fujitsu.
Dr. Talanov's keynote talk will be focused on providing answers to the following question: How to make a machine feel an emotion? Based on neuromodulatory mono-amines model of emotions Dr. Talanov's research group tried to re-implement affective states in a computational system. Also, the focus will be on 'Robot Dream': the embodiment problem of a spiking neural network simulation with real-time robotic system could be solved implementing the metaphor of mammalian sleep in a robotic system.
Talk: “How to make a machine feel an emotion?”
Location: DIT Kevin Street Boardroom
Time: 1-3pm 1st December
Dr John Kelleher to Present Talk at European Translating Forum
Dr. John Kelleher, from the School of Computing at Dublin Institute of Technology has been invited to present his talk on machine learning at the upcoming 'Translating Europe Forum' in Brussels. Dr Kelleher will give his talk entitled 'Fundamentals of Machine Learning for Machine Translation' on Thursday the 27th October. His talk will be part of the NMT@Work Neural Machine Translation workshop which is part of a wider two day forum on translation tools and technologies within the European Union.
The Translating Europe Forum aims to bring together translation stakeholders in Europe to discuss topics of common interest such as skills, employability, professionalisation, quality, tools, and to promote cooperation between stakeholders. Its aim is to increase the visibility of the translation profession and to stimulate dialogue and projects of common interest.
Dr. John D Kelleher is a lecturer in the School of Computing at the Dublin Institute of Technology, Ireland. His research interests include machine translation, natural language processing, machine learning, artificial intelligence and cognitive systems. John is the manager of the Applied Intelligence Research Centre (http://ditairc.ie/) and is a Funded Investigator at the ADAPT Research Centre (http://adaptcentre.ie/). In 2015 John co-authored the textbook “Fundamentals of Machine Learning for Predictive Data Analytics” published by MIT Press.
DIT Computing October 2016
School of Computing Project Fair 2016
Overall Prize Winner Alan Haverty demonstrates his project on Driver Delivery Systems
Each year the School of Computing hosts a Project Fair for its final year students at DIT Kevin Street.
This year the fair showcased the project work of up to 51 students from across the School of Computing. The fair also afforded our students the opportunity to meet with our industry partners and show off their final year projects.
Project Fair 2016 took place in the Gleeson Theatre on Wednesday 13th April 2016.
Tomas Higgins receiving the 'Most Innovative use of Open Data' Award from Catherine Roche of AIB
The overall prize was generously sponsored by Ocuco Software Limited who have a long-standing relationship with the Computing and Engineering schools at DIT Kevin Street.
Other prize sponsors included, Fidelity, S.A.P. Bearing Point, SAS, Amazon Pye, Salesforce and DIT Hothouse.
Photos for this event are available on FaceBook
Prize recipients at the Project Fair 2016 included the following:
|Ocuco||Overall Prize for Best Project at Project Fair 2016||
Delivery Driver System
|Fidelity||Most Innovative Software Engineering Project||
The Fundemental Components and Technologies involved in the creation of a 3d game
Luan O’Carroll Innovation Award
Most Innovative Use of Open Data
Identifying Mood by Analysing Keystroke Dynamics
Interactive Language Learning Tool for Children with Disabilities
|DIT Hothouse||Most Commercialisable Project||Maximilian Adrian Mihoc||
Behavioural Biometrics Phone Lock
|SAS||Best Analytics Project||Joe Devaney||
Watch n Listen
Best Customer Experience
|Salesforce||Most Original Project||Finbar Timmins||Sir Taps A Lot|
For further details, please contact Iseult Kelly.
Tanzanian ICT Summit
Dublin Institute of Technology (Ireland) and the Institute of Finance Management (Tanzania) continued their ongoing collaboration by recently co-hosting the second ICT Summit an annual event that aims to gather national and international ICT stakeholders in Dar es Salaam.
This years summit focused on the following sub-themes: healthcare, agriculture, oil and gas, education,e-learning and e-commerce and also included discussions on government ICT policy; applications development and adoption; ICT Projects localization; sustainability; and the socio-economic impacts of ICT applications.
On the day there were commencement speeches from head of IFM Prof. Tadeo A. Satta followed by research talks on topics such as e-government, cybercrimes legislation, e-learning and the adoption of broadband connectivity in rural areas. Dr Frederick Mtenzi and Peter Manifold of the School Computing also gave research talks at the conference sharing their respective expertise on cybersecurity, m-learning and e-learning. The Irish Ambassador to Tanzania her excellency Fionnuala Gilsenan closed out the conference by discussing the onging links between Ireland and Tanzania and gave a vote of thanks to all who attended on the day.
The annual ICT Summit main goal is to share best practices in developing an informational society by nurturing digital engagement within the national sphere and linking ICT and other sectors of the economy together. By focusing on these activities it is hoped that the development of ICT and its uses will lead to the creation of a knowledge economy within Tanzania that is more digitally engaged.
IDEAS Seminar Series
Do Androids Dream of Electric Fish? Simulating the DEEP in Virtual reality.
Presenter: Bryan Duggan
Abstract: In this talk, Dr Bryan Duggan from DIT will describe the techniques he used to simulate the behaviour of underwater creatures such as sardines, dolphins and whales in a virtual reality game called DEEP. In the game, 3 players wearing a custom breathing controller along with virtual reality headsets experience a fantasy underwater adventure. The breathing controller helps the players to relax and observe the creatures explore their environment whilst swimming in beautiful formations. DEEP has been experienced by thousands of people at the Amaze Festival in Berlin, the CineKid Festival in Amsterdam and the DOK Festival in Leipzig (where it won the audience prize). DEEP will also be on display at the Tribeca Film Festival in New York in April 2016. Are the alive? You decide!
Do models of Instructional Design offer us clues in how to design lectures?
Presenter: Damian Gordon
Abstract: ONCE UPON A TIME … The king ordered the researchers in his court to travel to all the lands in the kingdom and ask teachers two questions; “What do you do to prepare when you have a new module to teach?” and “How do you prepare each individual lecture in that new module?”. And lo, the researchers did obey their king and travelled the lands <*>, and they asked teachers far and wide these questions, and they identified key themes of good practice from the responses and many researchers created different _Models of Instructional Design_ from them. They shared these models with teachers all over the kingdom … and they all lived happily ever after.
K-Means Clustering and Genetic Algorithms
Presenter: Alex Ter Sarkisov
Abstract: K-Means clustering is a heuristic unsupervised learning algorithm that splits a set of data points into disjoint subsets by grouping them around a centroid, It is widely applied in problems like data approximation, computer vision, feature selection, vector quantization and many other. Genetic Algorithms (GAs) are a heuristic derivative-free optimizer that works by evolving populations of solutions. GAs can find good, stable solutions to multidimensional optimization problems like k-means by representing the coordinates of all centroids in a vector called chromosome. Advantages of using GAs include independence of the starting solution, diversity in the population, the ability to find better solutions even after many iterations and avoid bad local minima.
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