UKSim-AMSS 26th International Conference on

Mathematical Modelling & Computer Simulation


Cambridge University (Emmanuel College), 26 - 28 March 2024




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, , UKSim2022-IJSSST


Special theme this year: Modelling and Simulation in Artificial Intelligence


Download the Call for Papers file

Indexed in, EBSCO, Research Gate, Scope, Google Scholar and searchable online by all global search engines.

Application in progress to index the papers in Scopus.



Important Dates

Call for Papers

Paper Submission




College Accommodation


Travel to Cambridge

Flights & Travel

Social Events



Keynote/Tutorial Speakers

Important Dates

Submission: See above



Paper Acceptance: from 20 Feb

Final Upload into EDAS for checking &


Registration by:

10 March

Credit Card on EDAS


Camera-ready by:

20 March



Conference Chairs

Glenn Jenkins, Cardiff Metropolitan University.

Tim Bashford, University of Wales Trinity Saint David

Taha Osman, Nottingham Trent University, UK.


Local Arrangements/

Venue/Program Chairs:

Tim Bashford, University of Wales Trinity Saint David

Glenn Jenkins, Cardiff Metropolitan University.


General Chair


David Al-Dabass

Glenn Jenkins


Honorary General Co-Chair:

Frank Wang, University of Kent, UK


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


Programme Co-Chair:


Publication Research Editors:

Zuwairie Ibrahim

Ibrahim Shaiai


EUROSIM Liaison Chair

Taha Osman

Papers submission, Deadline: 1 March 2024 (EDAS stays open for few more days for late papers)


Send paper as Word .docx or PDF file to general chair: or


Conference venue and accommodation: Emmanuel College, St Andrews Street, Cambridge, CB2 3AP.


Other accommodation in Cambridge






Papers are invited on any aspect of modelling, simulation, algorithms, applications and technology related to Artificial Intelligence to be presented at UKSim2024, 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 Artificial Intelligence are especially welcome.




- Simulated Reality and Artificial Intelligence

- Deep Learning

- Bio-Informatics and Bio-Medical Simulation

- Complexity Theory

- Hybrid Intelligent Systems

- Soft Computing and Hybrid Soft Computing

- Computational Intelligence

- Control of Intelligent 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)

- AI in 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

- Speculative issues: is our universe a simulation? Why classical physics break down and quantum mechanics take over at the subatomic level?

- AI related simulation methodologies and practice, languages, tools and techniques.

- Models and modelling tools. Data/object bases. Analytical and statistical tools.

- AI in Simulators and simulation hardware, training simulators.

- Agent-based simulation, decision support systems

- Philosophical issues: virtual and simulated reality, metaphors, knowledge modelling, deep learning, acquisition and synthesis of new knowledge/models, intelligent/adaptive behaviour

- Man/robot/machine interaction, control systems.

- Artificial Intelligence in parallel and distributed simulation, discrete event systems.

- Artificial neural networks


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 $300 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 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

- 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:



Paper Templates:

Word template (MS Word .doc format)

PDF template (PDF format)

Latex template (Latex format)



Conference website:


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


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)

Zulkarnay Zakaria


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


Registration (all figures in US$) Currency Converter

Due to the labour intensive process of handling bank transfers a $50 fee applies.


Student Paper

(2 authors maximum)

Student Participant

(no paper)

Credit Card

Bank Transfer

Credit Card

Bank Transfer

Credit Card

Bank Transfer

Registration BEFORE deadline of 1 March 2024

IEEE Members: 5% discount is given to author after presentation at conference











Registration AFTER deadline of 1 March

IEEE Members: 5% discount is given to author after presentation at conference












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 and click on Register yellow tab at the top, a list of conferences will appear

2. Scroll down to conference name (i.e. UKSim2024) 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 immediately.


Best wishes and look forward to meeting you at the conference.

Conference Chairs.

Special Theme Keynote Speaker-1, Day-1 AM, to be confirmed


Load-Tracking Control Strategies for Nuclear Power Plants to Compensate for Unpredictable Renewables


Janos Sebestyen Janosy


Senior Scientific Adviser

Centre for Energy Research

Konkoly Thege M. u. 29-33

H-1121 Budapest, Hungary.




Keywords: PWR, NPP optimal control, renewable and unpredictable power




The actual events in Europe changed a lot the opinions about nuclear power. In the European Union it is regarded already as green provided the storage problem of nuclear waste is solved (technically it is done already). Nuclear Power Plants (NPPs) in Europe and USA are mainly equipped with pressurized water reactors (PWRs) having primary circuits between the reactor vessel and steam generators in order to achieve better isolation from the environment. The water circulating in the primary circuit has high pressure to avoid boiling even around or above 300 degrees C - typical temperature in the PWR reactor. Stabilizing the steam pressure means that temperatures inside the reactor vessel grow proportionally with the power level. The lifetime of the irreplaceable huge (well above 200 metric tons) reactor vessels depends upon the number of cooling-downs and heating-ups: temperature changes. This happens mainly for refueling with periods usually longer than one year.

Nowadays it is easier to obtain the license from the authorities to prolong operations from 30 to 50-60 years than to build a new NPP - provided that the vessel is in good shape. That is why NPPs with PWRs like to operate permanently on full power, without temperature changes. Moreover, this practice helps to get a quicker return of the investments. On the other hand, the growing green power - renewable with solar panels and wind turbines - is definitely unpredictable due the weather conditions. Gradually stopping the fossil power plants (because missing Russian supplies and resulting in less emission of CO2), the regulation of the electrical network partly should be taken over by NPPs.

It will be shown that it is possible without dangerous to the vessel temperature changes in the primary circuit. With one degree of freedom - regulating only nuclear power and steam turbine pressure - we are able to stabilize one of the primary circuit temperatures - inlet, mean or outlet. Introducing another controller - rotating speed of the circulating pumps - we can stabilize all of the 3 primary circuit temperatures in a wide range of power. High-power frequency converters are nowadays widely available. Accurate and thoroughly tested full-scope training simulators are essential to work out n-w stress-free control strategies for the NPPs. As an example, the possibilities for the Hungarian PWR plant will be shown.

The talk will include a summary concerning the French electrical energy network control system. They have well above 70% share of nuclear power and more than 20% renewable water energy. The latter is the best to regulate the network because its power can be changed very quickly - just opening or closing a valve - without change the temperatures and pressures significantly, and none of these powers emit CO2. The rest few percent of conventional fossil power has an insignificant role. Even so - to change sometimes the nuclear power is indispensable, too.




Janos Sebestyen Janosy has been working for the AEMI Nuclear Energy Engineering Office Company Limited since 2014 after retiring as a Senior Advisor of the Centre for Energy Research of the Hungarian Academy of Sciences (HAS). He has been a Senior Researcher since 1974 and served as Head of the Simulator Development Department from 1994 - 2011, and a Senior Consultant to the Technical and Scientific Support Organization since 2012. He is Honorary Life Fellow of the UK Simulation Society. He was awarded the Eugene Wigner prize (founded by HAS) in 2016. J.S. Janosy has published over 70 scientific papers in international journals and conferences. His main scientific interests include: modelling and simulation, real-time simulation and simulators, nuclear, fossil and renewable energy production, energy distribution, smart electrical grids and energy storage.


Keynote Speaker-2, Day-1 AM, to be confirmed

A New Quantum Computer Not Limited by Landauers Bound
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

Most recently, Professor Frank Wang published an article on Quantum Information Processing in Springer Nature:


to report on a new quantum computer that can break Landauers Bound:


Among a number of physical limits to computation, Landauers bound limits the minimum amount of energy for a computer to process a bit of information. In the light of this study, we may have to presume the demise of this bound despite the many mysteries uncovered with it over the past 60 years.



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-3, Day-1 PM, to be confirmed


Activity-Oriented Petri Nets for Reducing the Complexities of Discrete Models


Professor Dr Reggie Davidrajuh


Department of Electrical Engineering and Computer Science

University of Stavanger, Norway.






Petri Net was popular in the 1980s and 1990s as an effective tool for the modelling and analysis of discrete systems. However, researchers soon discovered that Petri nets-based models become huge even for small real-life scenarios. Researchers then proposed methodologies for the compression of models; compression methodologies work for some cases, demanding some skills from the model developers as only some specific types of Petri nets (e.g., event graphs) can be compressed. Also, in most cases, the preservation of properties of the original model in the compressed model is not guaranteed. Researchers also proposed modular Petri Net models, partitioning the monolithic model into multiple modules. Though modular models offer many advantages (such as reuse and independent development and testing of modules), the overall size would still be huge, causing extensive simulation time. Also, some Petri nets cannot be modularized due to their crisscrossing connections.

General-purpose Petri Net Simulator (GPenSIM) offers a variety of solutions to solve the huge size of Petri Net models. GPenSIM allows not only modularisation but also allows modules to be run on different computers so that the simulation time can be drastically reduced, making the modules suitable for real-time applications. In addition to modular model development, it also provides Activity-Oriented Petri Nets (AOPN). AOPN is a two-phased model development. In the first phase (static phase), only the activities are considered resulting in a simpler static Petri Net model; the resources are not considered in the first phase. Then, in the second phase (run-time phase), the resources are added during the simulation. AOPN, in addition to modular models, provides a solution to reduce the size of Petri net models and remove some complexities.




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-4, Day-3, to be confirmed


Approximate Reasoning with Knowledge Interpolation and its Applications


Professor Qiang Shen


Pro Vice-Chancellor for Business and Physical Sciences

Aberystwyth University, Wales, UK.





The Application of approximate reasoning has led to the development of practical intelligent systems for successfully tackling a wide range of real-world problems. Particularly, knowledge extraction implemented with fuzzy rule interpolation (FRI) facilitates approximate reasoning for situations where only an incomplete or sparse rule base is available and certain observations may not match any existing rules. Traditional fuzzy systems require (at least partial) direct pattern matching between observations and the given rules; however, FRI reasons through manipulation of rules that bear certain similarity with an unmatched observation.


Fuzzy Rule Interpolation (FRI) techniques have been extensively investigated for decades, resulting in many different approaches. This talk will focus on a popular group of the techniques known as Transformation-based FRI (T-FRI), which work by exploiting linear transformations of automatically selected rules nearest to an unmatched observation. It will first provide a review of the underlying, seminal T-FRI approach, followed by a brief introduction to its extended family, including: adaptive T-FRI, backward T-FRI, higher-order T-FRI, dynamic T-FRI and weighted T-FRI, each of which addresses some of the critical limitations of the original. Then, the talk will present successful applications that help resolve challenging problems such as network security and medical diagnosis. Finally, the talk will conclude with initial sketches for further development in this important area.




Qiang Shen received a PhD in Knowledge-Based Systems (1990) and a DSc in Computational Intelligence (2013). He holds the Established Chair of Computer Science and is Pro Vice-Chancellor: Faculty of Business and Physical Sciences at Aberystwyth University. He is a Fellow of the Royal Academy of Engineering and a Fellow and Council Member of the Learned Society of Wales (the national academy of Wales). Professor Shen was a panel member for the past two UK Research Excellence Framework (REF) exercises: 2014 and 2021, both on Computer Science and Informatics. He has authored 2 research monographs and over 450 peer-reviewed papers, including an award-winning IEEE Outstanding Transactions paper. Professor Shen was a London 2012 Olympic Torch Relay torchbearer, nominated to carry the Olympic torch in celebration of the centenary of Alan Turing.


Keynote Speaker-5, Day-2, to be confirmed


Spreadsheet Modelling: Shadow Computing and Human Decision Making


Dr Simon Thorne


Cardiff School of Technologies, Cardiff Metropolitan University




Spreadsheet applications make up the vast majority of data processing activities of organisations but are totally unknown, hidden and lurking in the shadows of IT infrastructure. Spreadsheets are utterly ubiquitous and indispensable but they also contain serious data integrity issues that mean decision making based on spreadsheet models is risky and can result in serious material losses for organisations. Spreadsheet use is common in practically every industry there is and the serious decisions are made every day with spreadsheets, from business critical decision making to life and death in medical settings. The major types of issues that arise in spreadsheets are, data integrity resulting from bugs and errors, fraud perpetrated through falsification of data in spreadsheets, bias and misinterpretation of data and the trust placed in such artefacts. This talk will examine several cases of unintended losses from spreadsheets, what the underlying causes of these mistakes are and what can be done to minimise the risks.




Dr Simon Thorne is a Senior Lecturer in Computer Science at Cardiff School of Technologies. Simon teaches and researches in the fields of Artificial Intelligence, Machine Learning, Neural Networks, End User Computing, Spreadsheet Error and Human Factors. Simon has personally published 30 papers since 2004 and has held the position as chair of the European Spreadsheets Risks Interest Group (EuSpRIG) since 2008. In that time he has published 13 proceedings containing 150 papers with about 1500 citations on spreadsheet error, risk, software engineering, computers in society and human factors. Simon is a subject specialist in Artificial Intelligence, Data Science, Machine Learning and visualisation for the Engineering and Physical Science Research Council (EPSRC) college. Simon also reviews for top tier computer science journals such as IEEE Access.


Keynote Speaker-6, Day-3, to be confirmed


Brain Disorders Monitoring Caused By Covid-19 Using EEGLAB


Assoc. Prof. Dr. Lela Mirtskhulava


Ivane Javakhishvili Tbilisi State University and San Diego State University Georgia.





COVID-19, caused by the SARS-CoV-2 virus, has not only affected the respiratory system but also has the potential to affect the central nervous system, leading to various brain disorders. The neurological symptoms of COVID-19 can range from mild headaches and dizziness to severe encephalitis, stroke, and even death. The pandemic has posed a significant challenge to the healthcare system worldwide, as the detection and management of COVID-19-related brain disorders require specialized resources and expertise.

Various studies have highlighted the prevalence of neurological symptoms in COVID-19 patients, with the incidence of severe complications such as encephalopathy and stroke being higher in critically ill patients. Monitoring of brain function through imaging techniques such as magnetic resonance imaging (MRI) and electroencephalography (EEG) have shown abnormalities in the brain structure and function of COVID-19 patients, which are associated with cognitive and behavioral deficits.

Early detection and management of COVID-19-related brain disorders are crucial to mitigate their long-term impact on patient health and well-being. Therefore, a multidisciplinary approach is needed to identify and manage these complications, involving neurologists, intensivists, infectious disease specialists, and rehabilitation professionals. Long-term studies are required to understand the full extent of COVID-19's impact on the brain and to develop effective interventions to prevent and treat these complications.

EEGLAB is a widely used open-source MATLAB toolbox that provides a user-friendly platform for EEG data analysis. It includes various tools for data preprocessing, artifact rejection, and signal processing, which can be used to extract relevant features from EEG signals.

Several studies have utilized EEG and EEGLAB to investigate the impact of COVID-19 on brain function. These studies have demonstrated that COVID-19 patients with neurological symptoms exhibit abnormal EEG patterns, including slowing of the background rhythm, increased delta and theta activity, and decreased alpha activity. These abnormalities were associated with cognitive impairment, delirium, and other neurological symptoms.

EEGLAB is a valuable tool for monitoring COVID-19-related brain disorders, providing a non-invasive method to detect changes in brain function and track the progression of the disease. The use of EEGLAB in combination with other imaging modalities, such as magnetic resonance imaging (MRI) and computed tomography (CT), may provide a more comprehensive understanding of the neurological consequences of COVID-19. Further research is needed to validate the use of EEGLAB in clinical settings and to develop standardized protocols for EEG data analysis in COVID-19 patients. 




Lela Mirtskhulava received her Ph.D. in Computer Science and currently holds an associate professor position in the department of Computer Science at Ivane Javakhishvili Tbilisi State University/San Diego State University Georgia. She was part-time faculty in the department of Computer engineering at San Jose State University, CA. She worked as an ICT Senior Engineer at Ericsson and Geocell LLC. Her research interests include cybersecurity, AI, blockchains, AI modeling in Medicine, brainwaves monitoring, wireless technologies, and mathematical modeling. She has published over 80 scientific papers. Dr. Mirtskhulava was invited as a visiting professor at the University of Cambridge, UK. She is the recipient of the Fulbright and DAAD Scholarships. She serves as a keynote speaker and the technical Committee and advisory board member at several international conferences. She served as a Pillar II coordinator and Health NCP at Horizon Europe Program Georgia. She is a Management Committee member of COST CA 19136 action.


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)




Skype: lela.mirtskhulava1




Keynote Speaker-7, Day-2, to be confirmed


Progress in Simulated Kalman Filter MetaHeiristics


Assoc. Prof Dr. Zuwairie Ibrahim


University Malaysia Pahang

Kuantan, Malaysia





The Simulated Kalman Filter (SKF) solves optimization problems by finding the estimate of the optimum solution. As a population-based algorithm, every agent in the population acts as a Kalman filter by using a standard Kalman filter framework. This talk presents an overview of the research progress in SKF, discussing the progress, improvements, modifications, and applications of SKF in drill path optimization, airport gate allocation problem (AGAP), assembly sequence planning (ASP), system identification, feature selection, image template matching, controller tuning, wireless sensor network, and engineering design problems.




Associate Professor Dr Zuwairie Ibrahim graduated from Universiti Teknologi Malaysia with B.Eng in Electrical Engineering in 2000 and MSc by research in Image Processing in 2002. He received his PhD in DNA Computing from Meiji University, Japan, in 2006. He is currently with the Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang. He is one of the innovators who developed new estimation-based optimisation algorithms namely Simulated Kalman Filter Algorithm and Finite Impulse Response Optimiser. To date he has published over 130 conference papers and over 100 journal papers.






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