UKSim2022

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

 

 

Important Dates

Call for Papers

Paper Submission

Registration

Venue/Rooms

Cambridge

College Accommodation

Accommodation

Travel to Cambridge

Flights & Travel

Social Events

 

 

Keynote/Tutorial Speakers

Important Dates

Submission: See above

 

Notification

Paper Acceptance: from 10 Feb

Final Upload into EDAS for checking &

 

Registration:

15 March

Credit Card on EDAS

 

Camera-ready:

20 March

 

 

Conference Chair: Taha Osman, Nottingham Trent University, UK.

 

Local Arrangements/

Venue/Program Chairs: Glenn Jenkins, Cardiff Metropolitan University

Tim Bashford, University of Wales Trinity Saint David

 

General Chair:

David Al-Dabass

 

Honorary General Co-Chair:

Frank Wang, University of Kent, UK

 

Honorary Conference/ Programme Co-Chair: Qiang Shen, Aberystwyth University, UK

 

Publication Research Editors:

Zuwairie Ibrahim

Ibrahim Shaiai

 

EUROSIM Liaison Chair

Taha Osman

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

 

EDAS ID

Track 01.A.Neural Networks

First Author

A1

1570783988

Comparison of Two Algorithms for ECG Signal Denoising: A Recurrent Neural Network and a Support Vector Regression Virtual-Live + Recording

Sahar Keshavarzi

A2

1570793600

Observing the Effects of Image Quality on Object Detection Using YOLOv5 Virtual-Live

Kshitij Malvankar

 

 

Track 03.C.Evolutionary Computation

 

C1

1570786336

Hybrid Intelligent Modelling for Air Quality Prediction: Deep Learning and Markov Chain Unconventional Framework

Roba Zayed

 

 

Track 09.I.Games, VR and Visualization

 

I1

1570781659

Comparing the Quality of Business Decisions Supported by Alternative Visualization Platforms

Virtual-Live

Fernando Beltran

 

 

Track 10.J.Emergent Technologies

 

J1

1570793976

An FPGA Resource Adaptable General Neural Network Accelerator Virtual-Live

Zheng Xie

 

 

Track 11.K.Intelligent Systems and Applications

 

K1

1570786674

Autonomous Vehicle Communications Management over Heterogeneous Wireless Networks

Virtual

Jamal Raiyn

K2

1570793100

A Case Study for the Benefits of Cluster Analysis of Social Media Data and Retailer Sales for Twitter and A UK Based Department Store

Tommy Hamm

 

 

Track 18.R.Discrete Event and Real Time Systems

 

R1

1570787026

Towards Modeling Road Tunnels: A Petri Nets Based Approach, Physical, by Amir-Awaiting Visa

Reggie Davidrajuh

R2

1570788192

Simulation of Mass Vaccination Programs: Centralized Versus Mobile Vaccination

Mohammed Guniem

R3

1570788340

Simulating a Monitoring System for an Aquaponics Farm

Trym Sandbakk

 

 

 

 

 

 

Track 19.S.Image, Speech and Signal Processing

 

S1

1570791421

Enhancing Alzheimer Recognition Through Super-Resolution Images Virtal-Live

Pejman Rasti

 

 

Track 19.S1 Natural Language Processing/Language Technologies

 

S1-1

1570793193

Determining Receipt Validity from E-Mail Subject Line Using Feature Extraction and Binary Classifiers

Virtual-Live

Chanda Hirway

 

 

Track 21.U.Energy, Power, Transport, Logistics, Harbour, Shipping and Marine Simulation

 

U1

1570789106

A Review of Four Prominent Works on Swab and Surge Mathematical Models, Awaiting Visa

Amir Mohammad

U2

1570792454

Design and Implementation of Rapid Shutdown Filters for Roof Integrated Photovoltaic Cells

Virtual-Live

Osama Abdulhadi

U3

1570792664

Reinforcement Learning-Based Tap-Operations of a Regulated Distribution Transformer for Autonomous Voltage Control

Leschek Kopczynski

 

 

Track 23.W.Internet Modelling, Semantic Web and Ontologies

 

W1

1570795909

Proof of Position: A Lightweight Consensus Mechanism for IoT Oriented Blockchain

Virtual, Play Video thro OneDrive link

Zhitao Wan

 

 

Track 24.X. Mobile/Ad hoc Wireless Networks, Mobicast, Sensor Placement, Target Tracking

 

X1

1570798314

Bandwidth Enhancement of Microstrip Patch Antenna Using Air Holes for WLAN Applications

Virtual-Live

Khaled Alblaihed

 

 

Track 25.Y.Performance Engineering of Computer & Communication Systems

 

Y1

1570799191

Dual-Band Circularly Polarized Cylindrical Dielectric Resonator Antenna for Millimeter-Wave Applications

Virtual-Live

Meshari Alanazi

 

UKSim2022 Conference Program at a Glance

Virtual Presentation is *: e.g. *A1, Unknown yet e.g. *S1?

 

1. Presenter must demonstrate deep and detailed knowledge of the paper content by utilizing the full 20 minutes presentation time.

2. The session chair must be satisfied the presenter has answered at least one question in full to the approval of both the session chair and the participants.

3. The value of conference attendance is to get maximum feedback from participants on the significance of the research being presented.

4. Speak clearly and slowly, do not mumble or race through the sentences, moderate your voice without shouting to make sure attendees hear every word you say.

Session CodeWed.am2.A means Wednesday morning after tea break in room A. Other Time periods: am1, am2, pm1, pm2

Paper Nos: from the above table: x, x, x . . .

Papers from UKSim2021: *21-1, *21-3, *21-4, 21-10, 21-11, 21-12

Papers from UKSim2020: *20-5, *20-35, *20-36

Day-0: Tuesday 12 April 2022, 2pm Arrival/booking into college rooms

5 to 6pm: Early registration desk opens for one hour. 7pm: Dinner at the Eagle after.

Time

Day-1: Wednesday 13 April 2022

9.15 - 10.25

Wed.am1.A: (Chair: David Al-Dabass/Tim Bashford): Opening session and Keynote Speaker-1 Prof Qiang Shen, Virtual

10.25 - 11.25 3 papers

Wed.am2.A: (Chair: Taha Osman/Glenn Jenkins/Tim Bashford): *A1, *A2, 21-10

11.25 - 11.40

Refreshments

11.40 - 12.45

Wed.am3.A (Chair: Tim Bashford/David Al-Dabass): Keynote Speaker-2 Prof Reggie Davidrajuh

Virtual-Play Video

12.45 - 1.45

Lunch

1.50 - 3 3 papers

Wed.pm1.A (Chair: Tim Bashford/David Al-Dabass): *20-5, *20-35, *20-36

3 - 3.40 2 papers

Wed.pm2.A: (Chair: Taha Osman/Tim Bashford): C1, *I1

3.40 - 4

Refreshments

4 - 5.40 5 papers

Wed.pm3.A (Chair: Tim Bashford/Glenn Jenkins): *K1, *J1, K2, R1, R2

5.40

Close of day-1 & photo opportunity

7 - 8.30

Dinner at the Eagle after

 

 

Day-2: Thursday 14 April 2022

9.10 - 10.25

Thu.am1.A: (Chair: David Al-Dabass): day-2 opening session & Keynote Speaker-3 Prof Frank Wang

10.25 - 10.40

Refreshments

10.40 - 1.00 7 papers

Thu.am2.A (Chair: Taha Osman/Tim Bashford): *S1-1, *W1, *X1, *Y1, *21-4, 21-11, 21-12

1.00

Close of day-2 & photo opportunity

1.10

Lunch

2.30pm >

Cambridge Tour/Glenn Jenkins. Committee Meeting. College Conference Dinner 7pm, meet at the Eagle after.

 

 

 

Day-3: Friday 15 April 2022

9.10 - 10.00

Fri.am1.A: (Chair: David Al-Dabass/Tim Bashford): Keynote Speaker-4 Prof. Lela Mirtskhulava, Virtual

10.00 - 11.15 4 papers

Fri.am2.A: (Chair: Glenn Jenkins/ David Al-Dabass/): R3, *S1, *21-1, *20-2

11.00 - 11.15

Refreshments during presentations

11.15 - 12.35 4 papers

Fri.am3.A (Chair Tim Bashford/ David Al-Dabass): U1, *U2, U3, *21-3

12.35

Close of conference & photo opportunity

12.40

Lunch and depart

 

 

If your paper was accepted for UKSim2022, (to be Published in the journal UKSim2022-IJSSST)

but is not showing below it means EDAS has not received the registration fee. If you intend to register soon contact the general chair on david.al-dabass@ntu.ac.uk immediately.

To reserve a Presentation time-slot email: david.al-dabass@ntu.ac.uk

4 April 2022: Deadline to Upload Presentation File to EDAS or send it to the general chair

Presentations files: click on EDAS paper ID to download

#

EDAS ID

Title

Status

First Author

1

1570781659

Comparing the Quality of Business Decisions Supported by Alternative Visualization Platforms

Published

Fernando Beltran

2

1570783988

Comparison of Two Algorithms for ECG Signal Denoising: A Recurrent Neural Network and a Support Vector Regression

Published

Sahar Keshavarzi

3

1570786336

Hybrid Intelligent Modelling for Air Quality Prediction: Deep Learning and Markov Chain Unconventional Framework Room booked

Published

Roba Zayed

4

1570786674

Autonomous Vehicle Communications Management over Heterogeneous Wireless Networks

Published

Jamal Raiyn

5

1570787026

Towards Modeling Road Tunnels: A Petri Nets Based Approach

Published

Reggie Davidrajuh

6

1570788192

Simulation of Mass Vaccination Programs: Centralized Versus Mobile Vaccination

Room booked

Published

Mohammed Guniem

7

1570788340

Simulating a Monitoring System for an Aquaponics Farm

Room booked

Published

Trym Sandbakk

8

1570789106

Review of Four Prominent Works on Swab and Surge Mathematical Models

Room booked

Published

Amir Mohammad

9

1570791421

Enhancing Alzheimer Recognition Through Super-Resolution Images

Published

Pejman Rasti

10

1570792454

Design and Implementation of Rapid Shutdown Filters for Roof Integrated Photovoltaic Cells

Published

Osama Abdulhadi

11

1570792664

Reinforcement Learning-Based Tap-Operations of a Regulated Distribution Transformer for Autonomous Voltage Control

Published

Leschek Kopczynski

12

1570793100

A Case Study for the Benefits of Cluster Analysis of Social Media Data and Retailer Sales for Twitter and A UK Based Department Store

Room booked

Published

Tommy Hamm

13

1570793193

Determining Receipt Validity from E-Mail Subject Line Using Feature Extraction and Binary Classifiers

Published

Chanda Hirway

14

1570793600

Observing the Effects of Image Quality on Object Detection Using YOLOv5

Published

Kshitij Malvankar

15

1570793976

An FPGA Resource Adaptable General Neural Network Accelerator

Published

Zheng Xie

16

1570795909

Proof of Position: A Lightweight Consensus Mechanism for IoT Oriented Blockchain

Published

Zhitao Wan

17

1570798314

Bandwidth Enhancement of Microstrip Patch Antenna Using Air Holes for WLAN Applications

Accepted

Khaled Alblaihed

18

1570799191

Dual-Band Circularly Polarized Cylindrical Dielectric Resonator Antenna for Millimeter-Wave Applications

Accepted


Meshari Alanazi

 

 

 

 

 

Papers from UKSim2021 cancelled conference are already Published in the journal UKSim2021-IJSSST

Authors are invited to present their papers physically or virtually at UKSim2022, 13 - 15 April 2022

To reserve a Presentation time-slot email: david.al-dabass@ntu.ac.uk

4 April 2022: Deadline to Upload Presentation File to EDAS or send it to the general chair

Presentations files: click on EDAS paper ID to download

Authors of 6 papers accepted invitation to present at UKSim2022

#

EDAS ID

Title

First Author

1

1570698617

21-1

The Emergence of Quaternary-Based Computational-Strata from a Symmetrical Multi-Layered Model of Light

Virtual Play-Video: right click open link in new tab

Pravir Malik

2

1570699946

Text Categorization Based on Inductive Algorithms

T. Pravalika

3

1570700326

21-3

Arabic Hands-On Analysis, Clustering and Classification of Large Arabic Twitter Data Set on COVID19

Friday: Virtual

Abdelrahman Hamdy

4

1570702995

21-4

Detecting Emotions in Human Voice, Virtual Play-Video: right click open link in new tab

Nineli Lashkarashvili

5

1570703861

Modelling Melanin Biosynthesis Pathway with Petri Nets

Mohammed Hathibelagal

6

1570704962

Estimating Salmon Price Rise Due to the Increased Presence of Lice Caused by Global Warming: A Petri Net Based Approach

Vegard Valberg

7

1570708143

Understanding the Importance of Efficient Visitor Flow Within Tokyo Skytree

Eirik Haraldsen

8

1570709909

Business Process Automation: Automating the Analysis of Anomaly Data

Tristan Nolan

9

1570709984

Brain-Controlled Wheelchair for Indoor Environments

Haider Abdulkarim

10

1570711908

21-10

An Analysis of the Performance of MAC Buffer Size for Real Time Service Support in Dense MANET Scenarios

Physical

Peter Vargovcik

11

1570727898

21-11

Effectiveness of Curvature and Signal Derivatives in Fast Curve Segmentation Physical

Gordon Dickers

12

1570728466

21-12

Multi-Ethnicity Genetic Algorithm for Job Shop Scheduling Problems Physical. Room booked

Atefeh Momenikorbekandi

13

1570733571

Applications of Reinforcement Learning and Its Extension to Tactical Simulation Technologies

Arif Furkan Mendi

14

1570735118

Modeling of Gas Mixed Saturated Steam Water Spaces Using Coupled Single Equation Method

Jacob K Philip

 

 

Papers from UKSim2020 cancelled conference are already Published in UKSim2020-IJSSST

Authors are invited to present their papers physically or virtually at UKSim2022, 13 - 15 April 2022

To reserve a Presentation time-slot email: david.al-dabass@ntu.ac.uk

4 April 2022: Deadline to Upload Presentation File to EDAS or send it to the general chair

Presentations files: click on EDAS paper ID to download

Authors of 4 papers accepted invitation to present at UKSim2022

#

EDAS ID

Title

First Author

1

1570621643

Trapezoidal Based Fuzzy Membership Functions for Student Model Design

Salisu Muhammad Sani

2

1570625007

20-2

Online Preprocessing Gesture Sign Using Background Substructure and Edge Detection Algorithms

Virtual Play-Video: right click open link in new tab

Farah Alkhalid

3

1570625038

Understanding the IKEA Warehouse Processes and Modeling Using Modular Petri Nets

Behfar Behzad

4

1570628818

Introducing a New Toolbox for Theory of Connection

Reggie Davidrajuh

5

1570630218

20-5

Colour Feature Extraction for Computer-Aided Art Therapy Virtual, Play Video thro OneDrive link

Tadahiko Kimoto

6

1570630659

Acoustic Noise Classification Using Selective Discrete Wavelet Transform-Based Mel-Frequency Cepstral Coefficient

Salinna Abdullah

7

1570631118

Financial Statement Audit Using Support Vector Machines, Artificial Neural Networks and K-Nearest Neighbor: Empirical Study of UK and Ireland

Aram Khalaf Nawaiseh

8

1570631344

Mathematical Modelling of Diabetes Mellitus and Associated Risk Factors in Saudi Arabia

Entissar Almutairi

9

1570631404

Chained QR Keys Generation Based on Chaotic Hybrid Encoding and Fourier Transform Shifting for Image Encryption

Walaa Jumiawi

10

1570631592

Nonlinear Control of a Grid Connected Wind Turbine

Marwa Hassan

11

1570631606

On the Performance, Availability and Traffic Control Analysis of Virtualized Servers in Cloud Computing Environment

Mohammd Zaman Hosseini

12

1570631688

Dictionary Construction for Accurate and Low-Cost Subspace Learning in Unsupervised Spike Sorting

Majid Zamani

13

1570631691

Detection of Electrode Array Proximity to Cochlea Wall Based on Impedance Variation: Computational Study

Enver Salkim

14

1570631809

Controlling the NSGA-II Algorithm Convergence Toward a Fixed Pareto-optimal Solution for the Gross Domestic Product Quarterly Disaggregation

Raimi Aboudou Essessinou

15

1570631891

Performance Analysis of a Real-Time Optimization Model for a Mixed Model Stochastic Assembly Line

Rangith Baby Kuriakose

16

1570631966

Using MobileNetV2 to Classify the Severity of Diabetic Retinopathy

Sarah Sheikh

17

1570632000

Modelling Trip Generation Using Adaptive Neuro-Fuzzy Inference System in Comparison with Traditional Multiple Linear Regression Approach

Sameer Abu-Eisheh

18

1570634092

Simulation Analysis of Cognitive Radio Cooperative Networks for Next-Generation Technology

Aws Zuheer Yonis

19

1570635018

An Improved Defocus Blur with Combined Local Binary Patterns and Nearest Neighbor Technique

Jyothi Sravani

20

1570635076

Comparison of Auditory-Inspired Models Using Machine-Learning for Noise Classification

Salinna Abdullah

21

1570635358

Arabic Speech Emotion Recognition Using KNN and KSUEmotions Corpus

Ali H. Meftah

22

1570635459

The Impact of Communication Protocols Within SMART Manufacturing and Their Benefits

Gareth Gericke

23

1570635567

Automatic Angle Recognition in Hallux Valgus

Pablo Izquierdo

24

1570635602

Identification of Nasalization (Ghunnah) in Classical Arabic Dialect Using ANN

Ali H. Meftah

25

1570635631

Primitive Time-Domain Classification of J-Junction Defects Indicative of Congenital Diseases Associated with SCD

Jaymie Phillips

26

1570635922

Short Term Load Demand Forecasting for Transnet Port Terminal (TPT) in East London Using Artificial Neural Network

Mncedisi Figlan

27

1570636557

Demonstration of Opportunity for Improvement of the Coefficient of Performance of a Residential Air Source Heat Pump Water Heater

Stephen L Tangwe

28

1570636560

Quantitative Assessment of the Impact of Retrofitting an Electric Boiler with an Air Source Heat Pump Unit on a University Campus

Stephen L Tangwe

29

1570636562

Techno-Economic Analysis of A Grid-Connected Photovoltaic with Groundwater Pumped Hydro Storage for Commercial Farming Activities

K Shirinda

30

1570636567

Lifecycle Analysis of A Grid-Interactive Photovoltaic with Battery Storage: Case of South African Residential Loads

Stephen Marais

31

1570636789

Detection of PMSM Inter-Turn Short-Circuit Based on a Fault-Related Disturbance Observer

Vasilios Christos Ilioudis

32

1570637641

Intelligent Predictive Maintenance of Electric Trains in South Africa

Mavhungu Mathalis

33

1570639217

Collaborative Filtering Recommendation Based on Rating Habits and Items' Attributes

Ghadah Alabduljabbar

34

1570645014

Environmental Monitoring in Flammable Climate Zones over IoT Cloud

Lela Mirtskhulava

35

1570645457

20-35

A Review of Application Challenges of Digital Forensics Virtual

Kenneth Okereafor

36

1570645461

20-36

New Approaches to the Application of Digital Forensics in Cybersecurity: A Proposal Virtual

Kenneth Okereafor

37

1570646593

Enhancing IoT Security Using Multi-Layer Feedforward Neural Network with Tree Parity Machine Elements

Erekle Shishniashvili

 

 

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.

 

Tracks/Themes

 

- 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.

 

Submission Guidelines

 

You are invited to submit:
- full paper of 6 pages (Letter format) for oral presentation,

- computer generated art, submit title and abstract on EDAS as a normal paper then upload the image pdf file only as the Full paper

- 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 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: david.al-dabass@ntu.ac.uk

 

Right click and choose Open Link in New Tab to submit paper to EDAS

 

Paper Templates:

Word template (MS Word .doc format)

PDF template (PDF format)

Latex template (Latex 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 david.al-dabass@ntu.ac.uk

 

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.

**      **      **

 

IPC

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)

Zulkarnay Zakaria

(Malaysia)

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)

 

Vlatko Ceric

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)

 

Norlaili Safri (Malaysia)
Helen Karatza(Greece)

Nikolaos V. Karadimas (Greece)

Afrand Agah (USA)

Piers Campbell (UAE)
Marco Remondino (Italy)

Fabian Bottinger (Germany)

K.G. Subramanian (Malaysia)

Udhaya Kumar Dayalan

(USA)

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Conference Chairs.

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.

Email: sarah.sparrow@oerc.ox.ac.uk

 

Abstract

 

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.

 

Biography

 

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.

 

Keynote Speaker-1-Postponed

 

Engineering Simulations: The Challenge of Demonstrating Fitness for Purpose

 

Professor Fiona Polack

Professor of Software Engineering

Research Director

School of Computer Science and Mathematics

Keele University.

Email: f.a.c.polack@keele.ac.uk

 

 

Abstract

 

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.

 

Biography

 

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.

Email: reggie.davidrajuh@uis.no

 

 

Abstract

 

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.

 

Biography

 

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).

 

 

Keynote Speaker-3

 
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
Email: frankwang@ieee.org
 
Abstract
 

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.

 

Biography


Frank Z. Wang is the Professor in Future Computing and Head of School of Computing (2010-2016), University of Kent, the UK. The School of Computing was formally opened by Her Majesty the Queen. His led school achieved an amazing result in the 2014 UK government REF (Research Excellence Framework): the research intensity was ranked 12th out of over 150 computing departments in the UK. Professor Wang's research interests include brain-like computer, memristor theory and applications, deep learning, cloud computing, big data, and green computing, etc. He has been invited to deliver keynote speeches and invited talks to report his research worldwide, for example at Princeton University, Carnegie Mellon University, CERN, Hong Kong University of Sci. & Tech., Tsinghua University (Taiwan), Jawaharlal Nehru University, Sydney University of Technology, and University of Johannesburg. In 2004, he was appointed as Chair & Professor, Director of Centre for Grid Computing at CCHPCF (Cambridge-Cranfield High Performance Computing Facility). CCHPCF is a collaborative research facility in the Universities of Cambridge and Cranfield (with an investment size of 40 million Pound Sterling). Prof Wang and his team have won an ACM/IEEE Super Computing finalist award. He is a panel member for the UK government EPSRC e-Science programme and Hardware for Efficient Computing programmes. Prof Wang is Chairman, UK & Ireland Computer Chapter of the IEEE Computer Society and Fellow of British Computer Society.

 

Keynote Speaker-1

 

Approximate Knowledge Interpolation and its Applications

 

Professor Qiang Shen

Presentation

 

Pro Vice-Chancellor for Business and Physical Sciences

Aberystwyth University, Wales, UK.

Email: qqs@aber.ac.uk

 

Abstract

 

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.

 

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 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.

 

Keynote Speaker-4-Virtual

 

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: lela.mirtskhulava@tsu.ge; lmirtskhulava@sdsu.edu

 

Abstract

 

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.

 

 

Biography

 

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

Website: https://www.tsu.ge/data/file_db/faculty_zust_sabunebismetk/Lela%20Mirtskhulava_CV%20.pdf

 

San Diego State University/SDSU Georgia

Department of Computer Science

5 Kostava Str. 3rd Floor

Tbilisi 0108, Georgia

Website: https://georgia.sdsu.edu/dr-lela-mirtskhulava/

 

Mob.: +995 577400144 (Georgia)

 

Email: lela.mirtskhulava@tsu.ge; lmirtskhulava@sdsu.edu

 

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