IEEE Conference Record No. # 42672
European Modelling Symposium on
Mathematical Modelling and Computer Simulation
Manchester, 20 - 22 November 2017
Conference Venue: Manchester Conference Centre
Continuous as reviews are completed, it starts on: 1 August
see payment table below
Credit Card on EDAS
to CPS server &
University of Wales Trinity Saint David
Venue Chair: TBC
Zheng Xie, University of Central Lancashire
- Athanasios Pantelous
University of Liverpool
- Alessandra Orsoni
- Richard Cant
Nottingham Trent University
- Valentina Colla
Scuola Superiore Sant'Anna
Paper submission deadline: 10 October 2017. Click to download Brochure
Papers are invited on any aspect of computer based mathematical, analytical and symbolic modelling and computer simulation. Manuscripts must be submitted electronically through the EDAS system. The conference will be held in Manchester, England.
Topics of interest include, but are not limited to:
- Intelligent Systems
- Hybrid Soft Computing
- Methodologies, Tools and Operations Research
- Bio-informatics and Bio-Medical Simulation
- Discrete Event and Real Time Systems
- Image, Speech and Signal Processing
- Industry, Business and Management
- Human Factors and Social Issues
- Engineering, Manufacturing and Control: firstname.lastname@example.org
- Energy, Power Generation and Distribution
- Transport, Logistics, Harbour, Shipping and Marine Simulation
- Virtual Reality, Visualization and Computer Games
- Parallel and Distributed Architectures and Systems
- Internet Modelling, Semantic Web and Ontologies
- Mobile/Ad hoc wireless networks, mobicast, sensor placement, target tracking
- Performance Engineering of Computer & Communication Systems
- Circuits, Sensors and Devices
Applications: aerospace; remote sensing; wireless communication, intelligence and simulation, electronic circuits and systems; communication and networks; management; games, war/conflict/rebellion modelling, cognitive functions, semantics modelling/ dynamics; manufacturing; robotics; measurement; monitoring; safety critica1 systems; military.
Exhibitors: manufacturers of software and hardware, publishers, etc., are invited to apply to exhibit their products.
You are invited
- proposal to organize a
technical session and/or workshop.
Submissions must be original, unpublished work containing new and interesting results that demonstrate current research in all areas of computational intelligence, computer systems and networks, focusing on modelling, simulation and applications in science, technology, business and commerce. Proceedings will be published by IEEE Conference Publication Services (CPS) and submitted for inclusion in IEEE online digital library I-Xplore and other global indexing agencies like EI, ISI, SCOPUS, INSPEC etc. The conference is jointly organised by UK Simulation Society and Asia Modelling and Simulation Section and technically co-sponsored by the IEEE UK & RI Computer Chapter. Patrons, promoters and supporters include:
Scuola Superiore Sant'Anna
Nottingham Trent University
Manchester Metropolitan University
University of Malaysia in Sabah
University of Technology Malaysia
University of Malaysia in Pahang
European Council for Modelling & Simulation
Society for Computer Simulation Int. (SCS)
Submission implies the willingness of at least one of the authors to register and present the paper. All papers are to be submitted electronically through EDAS, in PDF or Word format. All papers will be peer reviewed by at least three independent referees of the international program committee.
Paper Submission: EMS2017 is using EDAS for submission and registration, authors need to:
- create an account with EDAS by clicking on the link below
- open the list of conferences managed by EDAS & find EMS2017
- click on Submit button on the right to enter your paper title & abstract
- upload file.
Click here to submit paper: http://edas.info, you must have an EDAS account to login with user name and password to open EDAS.
Authors of the best papers will be invited to revise and extend their work for publication in a special issue of the International Journal of Simulation: Systems, Science and Technology.
Conference website: http://ems2017.info
IEEE Student Members Travel Grants: a limited number of travel bursaries are available for partial support of travel expenses to attend the conference to present the paper, contact the general chair email@example.com
Attendance and presentation
1. Absence does not affect publication in the CD, it only affects submission and placement in I-Xplore (about 6 to 12 months after the conference).
2. Authors who find it impossible to attend but still wish their paper to be submitted to I-Xplore must upload their Presentation file to EDAS for presentation by a substitute presenter to approve submission to I-Xplore. The author must explain the reasons for absence in the first slide after the title slide with the name and email address of head of department or professor to confirm and support the reasons.
3. Authors who state they will attend but do not show up will not have the proceedings CD sent to them nor will their paper be submitted to I-Xplore.
4. The presentation program must be accurate to avoid time waste.
IEEE-Xplore: a paper will not be submitted to IEEE-Xplore if it suffers from one or more of the following problems:
1. Below average English,
1. Below average English,
2. Excessive number of citations to the authors own work in References,
3. Little interaction with EE and Computing,
4. Not within the conference scope or has not followed the Template,
5. Author did not offer valid reasons for not attending, or did not upload to EDAS the presentation file (for committee review and substitute presenter), or both.
IPC and international reviewers
Kai Juslin (SIMS)
Sokratis Katsikas (Greece)
Esko Juuso (SIMS)
Carl James Debono (Malta)
Adrian Muscat (Malta)
Khalid Al-Begain (UKSim)
Gaius Mulley (UKsim)
Miroslav Snorek (CSSS)
Andras Javor (HSS)
Franco Maceri (ISCS)
Peter Schwartz (ASIM)
Theodoros Kostis (Greece)
Patrick Wang (UK)
Eduard Babulak (Canada)
Charles Patchett (BAE, Warton)
Richard Zobel (UKSim)
Nitin Nitin (India)
Kenneth Nwizege (Nigeria)
Hosam Faiq (Malaysia)
Kambiz Badie (Iran)
Ladan Momeni (Iran)
Henri Pierreval (FRANCOSIM)
Yuri Merkuryev (LSS)
Gaby Neumann (ASIM)
Mikulas Alexik (CSSS, EUROSIM President)
Agostino Bruzzone (Liophant, Italy)
Borut Zupancic (SLOSIM)
Orlando Toscanelli (Italy)
Igor Skrjanc (SLOSIM)
Li-Pei Wong (Singapore)
Wan Hussain bin Wan Ishak (Malaysia)
Rohit Sharma (India)
Marco Vannucci (Italy)
Marek Ogiela (Poland)
David Murray-Smith (UKSim)
Valentina Colla (Italy)
Mahdi Mahfouf (UKSim)
Emelio Jimenez Macias (SPAIN)
Silvia Cateni (Italy)
Zulkarnay Zakaria (Malaysia)
David Al-Dabass (UKSim)
Alessandra Orsoni (UKSim)
Vlatko Ceric (CROSSIM)
Arijit Bhattacharya (UKSim)
Arshin Rezazadeh (Iran)
Russell Cheng (UKSim)
Ajith Abraham (Norway)
Terrence Fernando (UK)
Athanasios Pantelous (UK)
Kusum Deep (India)
Atulya Nagar (UK)
Khaled Shaalan (UAE)
Hussam Tawfik (UK)
P. Thangavel (India)
Abir Hussain (UK)
Dhiya Al-Jumeily (UK)
K.G. Subramanian (Malaysia)
Gurvinder Singh-Baicher (UK)
Lilia Kakaradova (UAE)
Ljerka Beus-Dukic (UK)
Miguel Angel Piera (Spain)
Antonio Guasch (Spain)
Jadranka Bozikov (CROSSIM)
Richard Cant (UKSim)
Felix Breitenecker (ASIM, SNE)
Siegfried Wassertheurer (ASIM)
Wolfgang Wiechert (ASIM)
S. Wassertheurer (ASIM)
Janos Sebestyen-Janosy (HSS)
Olaf Ruhle (ASIM)
Yong Fan (USA)
Marius Radulescu (ROMSIM)
Leon Bobrowski (PSCS)
Mojca Indihar Stemberger (Slovenia)
Vesna Bosilj-Vuksic (Croatia)
Nikolaos V. Karadimas (Greece)
Piers Campbell (UAE)
Kponyo Jerry, KNUST, (Ghana)
Majida Ali Abed Meshari (Iraq)
Registration (all figures in US$) Currency Converter: Due to the labour intensive process of handling bank transfers a $50 surcharge applies
(2 authors maximum)
Registration BEFORE deadline of 20 October 2017
IEEE Members: 5% discount is given to author after presentation at conference
Registration AFTER deadline of 20 October 2017
IEEE Members: 5% discount given to author after presentation at conference
Only one method of payment is available on EDAS:
Credit Card: payment is accepted online and confirmation is instant.
Here is the procedure:
1. go to EDAS at http://edas.info and click on Register yellow tab at the top, a list of conferences will appear
2. Scroll down to conference name (e.g. EMS2017) line and click on the extreme right green money symbol at the end of this line, a new page will appear
3. click on the extreme right button (Trolley symbol) after USD $595, a new table will immediately appear under a new line Registered, but no paid.
4. Under this table a list of credit card symbols and SWIFT. Click on the credit card symbol.
5. A new page will appear, enter all card details, scroll down to the bottom and click Pay for Registration
6. REMEMBER: NO payment received by the set deadline means your paper will NOT be in the Proceedings.
If you have problems meeting this deadline email
Best wishes and look forward to meeting you at the conference.
1. If your paper is not listed kindly process the publication fee by credit card on EDAS and upload your final revised paper for checking.
2. To speed up the process, upload the Word file to EDAS. The Word file enables our editors to make final format repairs to comply with the conference template.
The SpiNNaker Project: Past, Present and Future?
Dr Simon Davidson
Senior Research Fellow
Advance Processor Technologies Group
School of Computer Science, The University of Manchester, UK.
SpiNNaker was developed at The University of Manchester as a massively-parallel yet low-power architecture optimised for the simulation of spiking neural networks of cortical scale. The project is ongoing, with software development and platform maintenance currently supported by the EU-funded Human Brain Project (HBP).
In this talk, I will provide a quick reminder of the goals and key design features of SpiNNaker before bringing you up to speed on the current state of the project, covering both the physical construction of a one million processor SpiNNaker toroid within our department and the software stack that allows users to remotely submit jobs to access time on this computing resource. SpiNNaker is now being used by researchers all over the world - and not just for spiking neural networks! I will talk about what we and others have been doing with SpiNNaker and where we expect these ideas to lead.
In the final part of the talk, I will look to the future of SpiNNaker, putting it in context with other neuromorphic platforms that have emerged in recent years. I will conclude with a peek at how the lessons we have learned from SpiNNaker are being used to design our next generation SpiNNaker-2 chip, in collaboration with TU Dresden.
Simon Davidson (BEng 1989, PhD 1999) has been a Research Fellow in the Advanced Processor Technologies Group (APT) within the School of Computer Science at the University of Manchester since 2009 and has contributed to the development of the original SpiNNaker chip as well as the subsequent software stack and spiking neural applications.
Graduating in Electronic Engineering from the University of Sheffield (UK) in 1989, he began a PhD in neural networks before relegating this to a part-time activity to become an RA developing SoCs for image processing. He spent ten years in industry: in the early 1990s at SGS-Thomson he worked on their Chameleon project, helping to develop a 64-bit superscalar processor for set top boxes. After a few years at Hewlett Packard and after finally finishing his PhD, he returned to the UK to join ARC International (a small London-based processor IP start-up) where he led the development of the ARC-TangentA5 processor and co-developed the ARCompact instruction set.
His doctoral research into neural memory took him back to academia in 2005, with time at York University leading to his current position at Manchester. Currently employed on an EU-funded ERC Advanced grant held by Prof Steve Furber, his main research interest include the development of large spiking neural networks implementing high capacity associative memory that is both robust and reliable and the mechanisms for both representation and computation using simple spikes.
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Dynamic Interpolative Modelling and its Application to Intrusion Detection
Prof Qiang Shen
Director, Institute of Mathematics, Physics and Computer Science
Aberystwyth University, Wales, UK.
Intrusion detection systems (IDSs) are considered as a popular and effective security tool for generating alerts to network administrators, in order to inform possible or existing threats. A standard IDS may not be very effective or even unsuitable for an organisational requirements over a sustained period. This talk will present an application of D-FRI for building an effective IDS. In particular, it will introduce an intelligent IDS that is built upon the most popular open source IDS, Snort via integration with D-FRI. The talk will illustrate the results that the integration of D-FRI with Snort provides an additional level of intelligence in predicting possible threats. This integration also facilitates dynamic modelling, in terms of a dynamic fuzzy rule base, by promoting new rules based on the current network traffic conditions, helping Snort to reduce both false positives and false negatives.
Professor Qiang Shen received a PhD in Knowledge-Based Systems and a DSc in Computational Intelligence. He holds the Established Chair of Computer Science and is Director of the Institute of Mathematics, Physics and Computer Science at Aberystwyth University. He is a Fellow of the Learned Society of Wales and was a UK Research Excellence Framework (2008-2014) panel member for Computer Science and Informatics. He has been a long-serving Associate Editor or Editorial Board member of many leading international journals (e.g., IEEE Transactions on Cybernetics and IEEE Transactions on Fuzzy Systems), and has chaired and given keynotes at numerous international conferences.
Current research interests of Professor Shen include: computational intelligence, learning and reasoning under uncertainty, pattern recognition, data modelling and analysis, and their applications for intelligent decision support (e.g., space exploration, crime detection, consumer profiling, systems monitoring, and medical diagnosis). He has authored 2 research monographs and over 350 peer-reviewed papers, including an award-winning IEEE Outstanding Transactions paper. He has served as the first supervisor of more than 50 PDRAs/PhDs, including one UK Distinguished Dissertation Award winner.
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Beyond Big Data Scalability: Bringing High-Performance Analytics to Processing Hardware
Dr Zaid Al-Ars
Associate Professor, Computer Engineering Lab
Delft University of Technology, the Netherlands.
Big data computing is rapidly becoming the approach of choice for many scientific and commercial applications in business analytics, bioinformatics, deep learning, etc. This is due to the high-level of abstraction provided by big data frameworks that allows developers to shorten development time of powerful programs able to process vast amount of data on large computer clusters. This ease-of-development adds much overhead to the compute infrastructure and prevents fine-grain cluster optimizations and efficient control of compute resources. However, the changing big data landscape is witnessing an aggressive expansion of the target big data application domains, with new applications serving the needs of the scientific and research community as well as other users interested in running optimized high-performance workloads, stretching the computational resources to their limits. This talk discusses the sources of large overheads incurred by mainstream big data frameworks, and how these overheads prevent the applications developed for the high-performance computing domain from being effectively ported to these frameworks. We also discuss methods to bridge this difference in performance by bringing high-level big data frameworks closer to the computing hardware, thereby enabling integration of heterogeneous computing devices, such as FPGAs, GPUs and DSPs, into the big data framework. This offers the potential to increase system utilization in large computing clusters, in addition to increasing performance, thereby achieving the cost and power efficiency needed for compute-intensive big data applications.
Zaid Al-Ars is an associate professor at the Computer Engineering Lab of the Delft University of Technology, the Netherlands, where he leads the research activities of the big data research theme of the lab. His work focuses on developing high-performance computing infrastructures to enable the efficient processing of big data applications using optimized solution alternatives for system performance, memory, power, etc.
Dr. Al-Ars is cofounder of Bluebee, a big data company active in the intersection between genomics, high performance computing and big data analytics. He is also the chair of the Personalized Medicine Workgroup in the OpenPOWER Foundation, leading industrial efforts to develop customized solutions to address the computational challenges in precision medicine. Dr. Al-Ars has more than 100 publications in the field of computer design and manufacturing.