EMS2017 IEEE
Conference Record No. # 42672 UKSim-AMSS 11th European Modelling Symposium on Mathematical Modelling and Computer Simulation Manchester, 20 - 22 November 2017
Conference Venue: Manchester Conference
Centre (Click here to view EMS2008, EMS2009, EMS2010, EMS2011, EMS2012, EMS2013, EMS2014, EMS2015, EMS2016, EMS2017
Proceedings in IEEE online Digital Library I-Xplore |
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��� Registration Flights,
Travel Hotels Social Events Keynote & Tutorial Speakers: TBA Important Dates Paper Submission: See above Notification Continuous as
reviews are completed, it starts on: 1
August Registration (Payment)
due: see payment table below Credit
Card on EDAS Camera-ready to CPS server & copyright form: TBA
Conference/Honorary Chairs: Conference Chairs: Alessandra Orsoni Kingston University Glenn Jenkins University of Wales Trinity
Saint David Local Arrangements/ Venue Chair: TBC Zheng Xie, University of Central
Lancashire Honorary
Programme Chairs: - Athanasios Pantelous University of Liverpool - Alessandra Orsoni Kingston University - Richard
Cant Nottingham Trent University - Valentina
Colla Scuola Superiore Sant'Anna General
Chair: General
Co-Chair: Ajith Abraham Honorary/Advisory Chair: Agostino Bruzzone McLeod Institute of
Simulation Science - Genoa Director European Liaison: Alessandra Orsoni Kingston
University |
Opening Session Keynote-1 slides Day-1 Foto Papers to be Published/Presented View
Proceedings online use Internet explorer to view full paprs 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: emilio.jimenez@unirioja.es - 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. |
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Submission Guidelines |
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You are invited
to submit: - 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 Kingston University Liverpool University University of
Malaysia in Sabah University of
Technology Malaysia University of
Malaysia in Pahang EUROSIM 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, right click and choose Open Link in New Tab you must have an EDAS account to login with user
name and password to open EDAS. Or send your paper to ems2017-chairs@edas.info IEEE Author Kit will be
emailed to authors individually upon acceptance of their papers. Paper Templates: Word template (MS Word .doc format) 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 david.al-dabass@ntu.ac.uk 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). ____________________________________________________________________________________________________________________________________ IPC and international reviewers |
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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) Roland Wertz
(Germany) Nikolaos V.
Karadimas (Greece) Piers Campbell (UAE) Kponyo Jerry, KNUST, (Ghana) Majida Ali Abed Meshari (Iraq) |
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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 david.al-dabass@ntu.ac.uk immediately. Best wishes and look forward to meeting you
at the conference. Conference Chairs. |
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EMS2017
Program, 20 - 22 November Session chairs and co-chairs are urgently
needed. Kindly look through the program below
and choose a session where and email david.al-dabass@ntu.ac.uk. Certificates of merit will
be awarded to mark your contribution to the success of the conference.
EMS2017, Papers by Track, 40 papers
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Paper to be Published/Presented 9pm 21 November Presenters: Check the presenter column
in your paper and confirm to general chair: david.al-dabass@ntu.ac.uk _________ means Presentation file NOT uploaded yet
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Keynote Speaker-1 The SpiNNaker Project:
Past, Present and Future? Prof Steve Furber/Dr Simon Davidson Senior Research Fellow Advance Processor Technologies Group School of Computer Science, The
University of Manchester, UK. Email: simon.davidson@manchester.ac.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. Biography 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. = = = Keynote Speaker-2 Dynamic Interpolative
Modelling and its Application to Intrusion Detection Prof Qiang Shen Director, Institute of
Mathematics, Physics and Computer Science Aberystwyth University, Wales,
UK. Email: qqs@aber.ac.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. Biography 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. = = = Keynote Speaker-3 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. Email: Z.Al-Ars@tudelft.nl 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. Biography 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. |