UKSim2022 |
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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 |
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Call for Papers Paper Submission Registration Venue/Rooms Social Events 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: 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 |
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UKSim2022 Papers by Track and
Presentation Mode, click on EDAS paper ID 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. 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.
*
* * |
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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: - 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) 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. ** ** ** |
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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) Nikolaos
V. Karadimas (Greece) Afrand Agah (USA) Piers Campbell (UAE) Fabian Bottinger (Germany) K.G.
Subramanian (Malaysia) Udhaya Kumar Dayalan (USA) |
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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 david.al-dabass@ntu.ac.uk immediately. Best
wishes and look forward to meeting you at the conference. Conference
Chairs. |
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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. |
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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. |
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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). |
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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
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Keynote
Speaker-1 Approximate Knowledge Interpolation and
its Applications Professor Qiang Shen 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. |
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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 Skype:
lela.mirtskhulava1 Facebook:
https://www.facebook.com/Lelamir12
Linkedin:
https://www.linkedin.com/in/lela-mirtskhulava-56ab2a28/ |
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