UKSim-AMSS 24th International Conference on Modelling & Simulation
Cambridge University (Emmanuel College), 13 - 15 April 2022
View proceedings in IEEE Xplore Digital Library: UKSim2008, UKSim2009, UKSim2010,
UKSim2011, UKSim2012, UKSim2013, UKSim2014 (also in ACM Digital Library: UKSim2014), UKSim2015, UKSim2016, UKSim2017, UKSim2018, UKSim2019-IJSSST, UKSim2020-IJSSST, UKSim2021-IJSSST
Download the Call for Papers file
Call for Papers
Submission: See above
Paper Acceptance: from 10 Feb
Final Upload into EDAS for checking &
Credit Card on EDAS
Conference Chair: Taha Osman, Nottingham Trent University, UK.
Venue/Program Chairs: Glenn Jenkins, Cardiff Metropolitan University
Tim Bashford, University of Wales Trinity Saint David
Honorary General Co-Chair:
Frank Wang, University of Kent, UK
Honorary Conference/ Programme Co-Chair: Qiang Shen, Aberystwyth University, UK
Publication Research Editors:
EUROSIM Liaison Chair
Papers submission, Final Extended deadline: 21 March 2022 (EDAS stays open for few more days for late papers)
Special discounted registration for Virtual attendance/presentation
Right click and choose Open Link in New Tab to submit paper to EDAS
Special theme this year: Modelling and Simulation of Climate Change, see https://www.climateprediction.net/
Last physical conference UKSim2019: Photos, Papers Published, Program, Opening Session
Conference venue and accommodation: Emmanuel College, St Andrews Street, Cambridge, CB2 3AP.
Other accommodation in Cambridge
UKSim2022 Papers by Track and Presentation Mode, click on EDAS paper ID for Presentation file
Papers to be published in UKSim2022-IJSSST
Papers are invited on any aspect of modelling and simulation to be presented at UKSim2022, University of Cambridge (Emmanuel College). The accommodation, renowned catering and conference facilities are an ideal blend of modern and historic. The venue offers an especially attractive opportunity for both professional discussion and socialising.
Full Papers (six pages with figures), and short papers (4 pages with figures) are invited on any aspect of modelling, simulation and their applications. Papers on the theme of Climate change are especially welcome.
- Virtual Reality and Artificial Intelligence
- Deep Learning
- Climate Change Modelling and Simulation
- Bio-Informatics and Bio-Medical Simulation
- Viral Infection modelling and simulation
- Hybrid Intelligent Systems
- Soft Computing and Hybrid Soft Computing
- Computational Intelligence
- Control of Intelligent Systems
- e-Science and e-Systems
- Robotics, Cybernetics, Engineering, Manufacturing and Control
- Methodologies, Tools and Operations Research
- Discrete Event and Real Time Systems
- Image, Speech and Signal Processing
- Natural Language Processing/language technologies
- Computer Generated Art (images to be exhibited at the conference and included in the proceedings CD)
- Industry, Business and Management
- Human Factors and Social Issues
- Energy, Power Generation and Distribution
- Transport, Logistics, Harbour, Shipping and Marine Simulation
- Supply Chain Management
- 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
Suggested topics (other topics are also welcome): Simulation methodology and practice, languages, tools and techniques. Models and modelling tools. Data/object bases. Analytical and statistical tools. Simulators and simulation hardware, training simulators. Integration of simulation with concurrent engineering, integrated design and simulation systems. AI, intelligent systems, agent-based simulation, decision support systems, philosophical issues, analogies, metaphors, knowledge modelling, acquisition and synthesis of new knowledge/models, intelligent/adaptive behaviour, man/machine interaction, control systems. Parallel and distributed simulation, discrete event systems. Artificial neural networks, computational intelligence.
Applications: aerospace; remote sensing; electronic circuits and systems; communication and networks; business; management; finance; economics; leisure, games, war/conflict/rebellion modelling; psychology, cognitive functions, behaviour, emotion, subjectivity; humanities, literature, semantics modelling/dynamics; biology; medicine; public health; energy, power generation and distribution, manufacturing; planning; control; robotics; measurement; monitoring; energy; safety critica1 systems; transportation; structural mechanics and civil engineering, oil and gas; education and training; military.
Exhibitors: manufacturers of software and hardware, publishers, etc., are invited to apply to exhibit their products.
The registration fee for Virtual attendance is only $195 and $595 for Physical attendance at the conference, this will include refreshments and lunches for all 3 days. IEEE members get 5% cash discount at the conference after presenting their paper and the opportunity to a apply to a limited number of bursaries for partial support of travel expenses to attend the conference to present the paper.
* * *
Accommodation in College: graduates from Cambridge colleges go on to become leading world scientists, prime ministers, parliamentarians and top civil servants. Share the experience of living-in by staying in college rooms. Full-board 3-day package is available for $630, and $690 en-suite, single occupancy. This includes a meal on the evening before the conference, all meals/conference dinner on day 1 and day 2 (including conference pre-dinner reception), and breakfast and lunch on day 3. For those wishing to take evening meal outside, a Bed & Breakfast 3 day package is available at $490 single occupancy, or $170 per night. Booking and pre-payment is essential, see EDAS Registration.
You are invited to submit:
- computer generated art, submit title and abstract on EDAS as a normal paper then upload the image pdf file only as the Full paper
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 modelling and simulation and their applications in science, technology, business and commerce. The conference is supported/co-sponsored by
- Nottingham Trent University, UK
- Cardiff Metropolitan University, Wales, UK
- University of Wales Trinity Saint David, Wales, UK.
- University of Stavanger, Norway.
- University of Kent in Canterbury, UK
- Aberystwyth University, Wales, UK.
- European Simulation Federation, EUROSIM
- European Council for Modelling and Simulation, ECMS
Submission implies the willingness of at least one of the authors to register and present the paper. All papers are to be submitted electronically,- see full instructions under Paper Submission below, in PDF or Word format. All papers and artwork will be peer reviewed by at least three independent referees of the international program committee.
Paper Submission: the conference is using EDAS for submission, reviews and registration, authors need to:
- If you do not have an EDAS account: create an account at http://edas.info
- If you already have an EDAS account simply right click on this link: Submit-Paper and choose Open Link in New Tab,
- A list of all the tracks opens, click on the track you wish to submit the paper under
- enter your paper title & abstract
- upload file.
In case of difficulty submit paper by email directly to the general chair: email@example.com
Right click and choose Open Link in New Tab to submit paper to EDAS
Word template (MS Word .doc format)
Conference website: http://uksim2022.info
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 firstname.lastname@example.org
Papers must not suffer from one or more of the following problems:
1. Below average English,
2. Excessive number of citations to the authors own work in References,
3. Little interaction with simulation and computing,
4. Not within the conference scope.
** ** **
Kai Juslin (SIMS)
Esko Juuso (SIMS)
Khalid Al-Begain (UKSim)
Rashid Mehmood (UKSim)
Gaius Mulley (UKSim)
Miroslav Snorek (CSSS)
Andras Javor (HSS)
Franco Maceri (ISCS)
Peter Schwartz (ASIM)
Charles Patchett (BAE, Warton)
Henri Pierreval (FRANCOSIM)
Kambiz Badie (Iran)
Yuri Merkuryev (Latvia)
Frank Wang (UK)
Gaby Neumann (ASIM)
Hosam Faiq (Malaysia)
Hissam Tawfik (UK)
Azian Azamimi Abdullah (Malaysia)
Sanjay Chaudhary (India)
Arijit Bhattacharya (Ireland)
Atulya Nagar (UK)
Gregorio Romero (Spain)
Kenneth Nwizege (UK)
Kathy Garden (NZ)
M Luisa Martinez (Spain)
Giuseppe De Francesco (Ireland)
Jerry John Kponyo (Ghana)
Maurizio Naldi (Italy)
Qiang Shen (UK)
Suiping Zhou (Singapore)
Mikulas Alexik (CSSS)
Borut Zupancic (SLOSIM)
Igor Skrjanc (SLOSIM)
Wan Hussain Wan Ishak (Malaysia)
Nitin Nitin (India)
Ford Gaol (Indonesia)
Glenn Jenkins (UKSim)
Martin Tunnicliffe (UK)
David Murray-Smith (UKSim)
Mahdi Mahfouf (UKSim)
Emelio Jimenez Macias (SPAIN)
Danilo Pelusi (Italy)
Theodoros Kostis (Greece)
Russell Cheng (UKSim)
Miguel Angel Piera (Spain)
Antonio Guasch (Spain)
David Al-Dabass (UKSim)
Jadranka Bozikov (CROSSIM)
Felix Breitenecker (Austria, ASIM, SNE)
Majida Alasady (Tikrit)
Eduard Babulak (USA)
Siegfried Wassertheurer (Germany, ASIM)
Valentina Colla (Italy)
Marco Vannucci (Italy)
Wolfgang Wiechert (ASIM)
Janos Sebestyen-Janosy (Hungary, HSS)
Olaf Ruhle (ASIM)
Zuwairie Ibrahim (Malaysia)
Marius Radulescu (ROMSIM)
Leon Bobrowski (PSCS)
Mojca Indihar Stemberger (Slovenia)
Rosni Abdulla (Malaysia)
Vesna Bosilj-Vuksic (Croatia)
Roland Wertz (Germany)
Andrejs Romanovs (Latvia)
S. Wassertheurer (Germany, ASIM)
Nikolaos V. Karadimas (Greece)
Afrand Agah (USA)
Piers Campbell (UAE)
Fabian Bottinger (Germany)
K.G. Subramanian (Malaysia)
Udhaya Kumar Dayalan
Registration: 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. UKSim2022) 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 email@example.com immediately.
Best wishes and look forward to meeting you at the conference.
Special Theme Keynote Speaker-Postponed
Using Citizen Science to Study Extreme Weather Around the Globe
Dr Sarah Sparrow
University of Oxford e-Research Centre
Department of Engineering Science.
Climateprediction.net (CPDN) is a citizen science project where idle time on peoples home computers is used to perform climate model simulations. This enables generation of very large ensembles of climate model data that would otherwise be too expensive to run. These large ensembles enable quantitative risk assessments to be made of the change in likelihood and potential impacts of different types of extreme weather events. This talk will give an overview of the projects we are currently involved with ranging from limiting global warming to 1.5C as set out by the Paris Agreement to the economic impact of bark beetle infestation in the Pacific North West.
Currently most CPDN simulations are performed using the weather@home model where a coarse resolution Met Office global atmospheric model drives a higher resolution regional model. Recently, two new models have been introduced into the CPDN platform. The first of these is a Met Office global atmospheric model running at a resolution similar to other state-of-the art systems (~60km in middle latitudes). This is sufficient to simulate extratropical synoptic features such as storms well and reduces the need for regional downscaling. The second new model is the European Centre for Medium Range Weather Forecasts (ECMWF) portable research version of its integrated forecast model, OpenIFS. In the OpenIFS@home project, the enormous volunteer computing resource will be utilised to study the predictability of weather forecasts and test the sensitivity of the forecasts to physical parameter choices in the model.
In planning for future climate resilience, it is necessary to understand quantitatively the likely future change in impactful extreme weather events. To study such events large ensembles, ideally of more than one model, are needed to produce robust scientific results. This in turn presents new challenges to the scientific community on how to generate, store, access and process the associated data. The citizen science approach provides a method to address the first of these areas subject to certain operational constraints, but the community must come together to address the latter challenges effectively.
Dr Sparrow is the programme co-ordinator for the climateprediction.net distributive computing project at the University of Oxford e-Research Centre within the department of Engineering Science and deputy director of the Energy Systems MSc course. She holds a doctorate in atmospheric physics from the University of Oxford, following which she worked in the IT industry on business management systems and as a post-doctoral research scientist looking at drivers of atmospheric variability. Whilst working at the Environmental Change Institute as a scientist for climateprediction.net, she was involved with near real-time attribution of human influences on extreme weather events using the weather@home system, and establishing how large ensembles of climate models can be used to identify new model configurations that are capable of capturing recent climate. She has also applied model enhancements (in collaboration with the Met Office) to allow different vegetative model configurations for a project looking at forest dieback in the north western United States. Leading projects on Brahmaputra flooding, Amazon Wildfires and the impacts of climate change on cultural heritage, she is experienced in the diverse way that large ensemble experiments can be applied. Recently she has been involved in enabling two new model configurations to run under the distributive computing framework; namely a high global resolution version of the Met Office Hadley Centre model HadAM4 and the European Centre for Medium Range Weather Forecasts (ECMWF) OpenIFS model. Dr Sparrow also tutors at international workshops and summer schools on extreme event attribution and global teleconnections.
Engineering Simulations: The Challenge of Demonstrating Fitness for Purpose
Professor Fiona Polack
Professor of Software Engineering
School of Computer Science and Mathematics
Around 15 years ago we observed that computer scientists liked simulating complex systems, but were surprised when their simulations generated unexpected (emergent) behaviour: they lacked insight into the domain needed to interpret and understand the complex behaviours they observed. Around the same time, there was a developing trend in many domains (notably cell-level biology and various areas of social science) to create agent simulations to explore complex behaviours of populations: agent models had the advantage over more traditional mathematical models of being able to tweak the parameters at the level of individuals in the populations, as well as parameters of the environment. These "domain" simulations encapsulate valuable domain knowledge, but were not robust, re-usable computer artefacts. Here, I will summarise our response: the CoSMoS project, which established principles for simulation and an approach for expressing fitness for purpose understanding, and note some recent thinking. Our focus is on agent simulation, but we believe that our principles transfer to other forms of simulation. The "problem" of engineering demonstrably fit for purpose simulations is alive and well, and very far from solution.
Fiona Polack is Professor of Software Engineering at Keele, UK. By inclination, she is an interdisciplinary researcher, focusing on making software engineering usable and useful. For many years, she has explored the software engineering of demonstrably fit-for-purpose simulation, and the Complex Systems Modelling and Simulation approach (CoSMoS, e.g. Polack and Stepney, Engineering simulations as scientific instruments, Springer 2018), most notably with the York Computational Immunology Lab, which resolved a range of real problems using bespoke simulations.
Keynote Speaker-2,Tutorial: Virtual
GPenSIM: A New Tool for Modelling and Performance Analysis of Large Industrial Discrete-Event Systems
Professor Dr Reggie Davidrajuh
Department of Electrical Engineering and Computer Science
University of Stavanger, Norway.
Modelling, simulation and performance analysis of discrete-event systems is an important activity in many branches of engineering, especially in computer science, industrial engineering, and production engineering. If the system under scrutiny is driven by discrete events (i.e. discrete-event systems), then the mathematical tools such as Petri Nets, Max-Plus algebra, Automata, and Markov chains, can be used for the development of more useful mathematical models. By running simulations of these models, we can analyse the performance of these systems, and hence propose performance improvements for these systems.
At the University of Stavanger, Norway, a tool known as General Purpose Petri Net Simulator (GPenSIM) was developed for modelling and simulation of large-scale real-life industrial discrete-event systems. Some major industrial problems in diverse fields were solved using this tool. For example, airport capacity evaluation for the aviation authority, locating and resolving bottlenecks in the fish supply chain, scheduling the drilling processes in the oil and gas industry, optimal scheduling of jobs in grid computing, etc. Some universities around the world are also using GPenSIM for their research on discrete-event systems.
In this tutorial: Firstly, an overview of the projects carried out using GPenSIM will be presented. Secondly, the design and implementation of GPenSIM will be presented. Thirdly, some of the important features of GPenSIM (e.g., the abstraction of resources, modularization, and parallel execution of modules) will be explained. These features help the modelling of large and complex discrete-event systems.
Professor Reggie Davidrajuh received a Masters Degree in Control Systems Engineering and a PhD in Industrial Engineering, both from the Norwegian University of Science and Technology (NTNU). He also received a DSc (habilitation degree) from the AGH University of Science and Technology, Poland. He is now a professor of Informatics at the department of Electrical Engineering and Computer Science, the University of Stavanger, Norway. His current research interests are discrete-event dynamic systems, modelling, simulation and performance analysis, algorithms, and graph theory. He is a senior member of IEEE and a Fellow of British Computer Society. He is also a member of the Norwegian Academy of Technological Sciences (NTVA).
Quantum, Neuromorphism & Future Minds
Professor Frank Wang
Chairman, IEEE Computer Society, UK&I Chapter
Head of School of Computing (2010-2016)
School of Computing
University of Kent, United Kingdom
Neuromorphic Computing was inspired by the 1981 Nobel Prize work by David H. Hubel & Torsten Wiesel, who found a cascading model in the human brain. Quantum qubits exhibit magnetism-electricity interaction that is similar to that of a memristor. We are building a brain-like computer based on ideal memristors. Most of previous efforts to build brain-like machines have failed because it took about the same silicon area to emulate a CMOS synapse as that needed to emulate a neuron. In theory, any realistic implementation of a synapse should ideally be at least four orders of magnitude smaller than that required to build a neuron. The invention of the memristor opens a new way to implement synapses. A memristor is a simple 2-terminal element, which means a vast number of memristors could be integrated together with other CMOS elements, in a brain-like machine.
Approximate Knowledge Interpolation and its Applications
Professor Qiang Shen
Pro Vice-Chancellor for Business and Physical Sciences
Aberystwyth University, Wales, UK.
Application of fuzzy rule-based interpolation (FRI) has been escalating for making intelligent systems viable in solving many challenging real-world problems. However, requirements of such systems may change over time and the supporting static rule models may not be able to provide accurate interpolation results in the long run. Dynamic fuzzy rule interpolation (D-FRI) offers a potential solution to such problems. A particular application is for network security that is often one of the biggest concerns of any organization irrespective of their size and nature of business.
Intrusion detection systems (IDSs) are a popular and effective security tool for generating alerts to network administrators, in order to inform against possible or existing threats. A standard IDS may be not very effective or even unsuitable for an organizational 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 how 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. The talk will also cover other applications of D-FRI in network security and thoughts for further development.
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 a Pro Vice-Chancellor at Aberystwyth University. He is a Fellow of the Learned Society of Wales and a UK Research Excellence Framework (2008-2014 and 2014-2021) 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.
Professor Shen current research interests 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 400 peer-reviewed papers, including an award-winning IEEE Outstanding Transactions paper. He has served as the first supervisor of more than 60 PDRAs/PhDs, including one UK Distinguished Dissertation Award winner. Professor Shen is a London 2012 Olympic Torch Relay torchbearer, nominated to carry the Olympic torch in celebration of the centenary of Alan Turing.
Diagnosing Brain Disorders using Deep Learning Tools based on Brainwaves Monitoring
Dr. Lela Mirtskhulava
Ivane Javakhishvili Tbilisi State University and San Diego State University Georgia.
Email: Email: firstname.lastname@example.org; email@example.com
Deep Learning applications occur in healthcare where medical monitoring goes through the observation of a set of medical parameters focused on a particular disease over time. In the given tutorial, we focus on neurological monitoring dealing with brain disorders. Continuously increasing brain disorders and the increasing government funding for innovating healthcare systems led to global growth of BCI (a brain-computer interface) market. BCI can replace invasive methods by using wearable devices to measure neural activity. One of the methods used by BCI might be electroencephalography (EEG) which is a non-invasive technique for brainwaves monitoring. After gathering data from EEG they will be pre-processed using a Matlab tool such as EEGLAB. Through EEGLAB we can visualize and model the dynamics of the brain based on a dataset.
Dr. Lela Mirtskhulava currently holds an associate professor position in the department of Computer Science at Ivane Javakhishvili Tbilisi State University and San Diego State University Georgia. Dr. Mirtskhulava received her Ph.D. in Computer Science. Dr. Mirtskhulava was a part-time faculty in the department of Computer engineering at San Jose State University, CA. She joined SJSU in Fall semester 2018 as a Fulbright Research Scholar. She has 15 years of working experience as an ICT Senior Engineer at Ericsson Ltd and Geocell LLC, Georgia. Her research interests include: neural cryptography, deep learning applications, blockchains in cybersecurity, brainwaves monitoring, ANN modeling for medical diagnosis, mobile app development, IoT security issues, 5G, simulation and modelling in wireless technologies. Dr. Mirtskhulava has published over 50 scientific papers.
Dr. Mirtskhulava was invited to the University of Cambridge, UK as a visiting professor. She is the recipient of DAAD Scholarship in the scope of Academic staff exchange program, at Westsaxson University of Applied Sciences Zwickau, Germany in 2016. She was a keynote speaker and served as the technical Committee and advisory board member at several international conferences, symposiums and summits. She is a member of IEEE, ACM and COST organizations.
Associate Prof. Dr. Lela Mirtskhulava
Department of Computer Sciences
Faculty of Exact and Natural Sciences
Iv. Javakhishvili Tbilisi State University
13 University str. 325 Tbilisi, 0186
San Diego State University/SDSU Georgia
Department of Computer Science
5 Kostava Str. 3rd Floor
Tbilisi 0108, Georgia
Mob.: +995 577400144 (Georgia)
Email: firstname.lastname@example.org; email@example.com