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Past Meetings of A2C Workshop

International Workshop
Advances & Challenges in Computing (A2C)

Past workshops


 

Regular meeting of the international workshop “Advances & Challenges in Computing” А2С were held:
Date: 16 June 2021 (Wednesday)
Place: online (a link will be put in invitation)
Time: 17:00-19:00 (East European time, Kyiv)

AGENDA:

1. Speaker: Oleksandr Drozd


Prof., Dr. Sc.,
Professor  of Computer Intelligent Systems and Networks Department,
Odessа Polytechnic State University

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Topic: Models, Methods and Means of Resilient Computing
Presentation in Russian

Abstract: The resource-based approach is proposed, which analyzes the integration of models, methods and means of the computer world into the natural one. The current state of the computer world resources (models, methods and means) is assessed. The vector of development of resources and the levels of this development are determined: replication, diversification and self-sufficiency as the goal of development. Dominance of replication, which is the lowest level of development, is noted. The main challenges in the development of computer resources are considered, and it is also shown how to resiliently develop models and methods. Real examples are given, the absence of which would make all the above arguments untenable.

Resume: In 1976, Alexander Drozd graduated with honors from the Odessa Polytechnic Institute. In 1982, he defended the doctoral Thesis. In 1990, he was awarded the academic title of Associate Professor. In 2003, he was awarded the title of Doctor of habil.sc. ing. Degree. In 2004, he was awarded the academic title of professor. His main areas of research are on-line testing of computer systems and their components, which has been developed for approximate data processing and in relation to safety-related systems. Since 1976, he has been working at the Odessa Polytechnic Institute. He has more than 540 scientific publications, including 240 inventions, 23 of which have been introduced into serial production. Research interests: on-line testing of digital circuits, FPGA-designing, green technologies, checkability analysis and checkable design of digital circuits for functional safety of critical systems. He took part in 4 international projects TEMPUS and Erasmus +.

2. Speaker: Volodymyr Romanov

 

Professor, PhD, Doctor of Science
Head of Data Acquisition Systems Department Glushkov Institute of Cybernetics of Ukrainian National Academy of Sciences (www.dasd.com.ua)
Head and Editor Electronic Components and Systems Journal (www.ekis.kiev.ua)

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Topic: Wireless Sensor Networks with Elements of Artificial Intelligence for Medicine
Presentation in Russian

Abstract: The integrated digitalization of medicine, the use of the AIIoT(Artificial Intelligence IoT), and the networks of medical wireless sensors offers new opportunities to remotely support the quality of life of chronically ill patients, the elderly, and athletes and professionals with heavy physical or mental workloads. Wireless sensor networks and computer remote means of maintaining quality of life includes smart wearable medical sensors, and analog interface. The sensors are intended to monitor heart rate, respiration and blood pressure, determine skin moisture, patient's position and other medical parameters in real time. Miniature interfaces are intended for data acquisition, analog-to-digital conversion, data preprocessing of medical parameters received from wearable medical sensors and data communication to remote diagnostic center. The current state and prospects for the development of these tools are discussed in the report.

3. Information about research projects and conferences:
Anatoliy Sachenko
(Doctor of Technical Sciences, Professor, scientific advisor of Research Institute for Intelligent Computer Systems).
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Regular meeting of the international workshop “Advances & Challenges in Computing” А2С were held:

Date: 21 April 2021 (Wednesday)
Place: online (a link will be put in invitation)
Time: 17:00-19:00 (East European time, Kyiv)

AGENDA:

1. Speaker: Yevgeniy Bodyanskiy

(Prof., Dr. Sc. (Dr.-Ing. habil.)
Scientific Head of Control Systems Research Laboratory,
Professor of Artificial Intelligence Department,
Kharkiv National University of Radio Electronics)

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Topic: Fast Pattern Recognition using Combined Learning of Neural Networks
Presentation in Ukrainian

Abstract: The adaptive probabilistic neural network and neuro-fuzzy system for classification task in situation of overlapping classes are proposed. These systems are designed to solve data classification task when data are fed sequentially in the online mode, and forming classes are mutually overlapped - the fuzzy case. The distinct feature of the systems is that the learning process of the pattern layer uses the sliding window and combined tuning. This allows us to keep the constant number of neurons in layer. Another point of the learning process is the tuning ability of activation functions' widespread parameters in online mode. The described advantage allows us to raise the classification quality. Last but not least is the ability to compute both the probability and membership levels of each observation to each of forming classes. The proposed adaptive probabilistic systems with fuzzy interference are simple in numerical implementation and have high learning speed. The results of experiments confirmed the correctness of approach under consideration.

Resume: In 1971, Yevgeniy Bodyanskiy graduated with honour from Kharkiv National University of Radio Electronics. In 1980, he defended the Doctoral Thesis. In 1984, he was awarded the academic title of Senior Researcher. In 1990, he was awarded Dr. habil.sc. ing. Degree. In 1994, he was awarded the academic title of Professor. His major fields of research are evolving hybrid systems of computational intelligence, data stream mining, data science, and big data. Since 1974, he has been working at Kharkiv National University of Radio Electronics. In 1974-1976, he was a Researcher; in 1977-1983, he was a Senior Researcher; in 1986–1991, he was a Scientific Head of Control Systems Research Laboratory; in 1991–1992, he was a Research Fellow. Since 1992, he has been a Professor of Artificial Intelligence Department at KhNURE, Scientific Head of Control Systems Research Laboratory at KhNURE. He has more than 660 scientific publications, including 42 inventions and 16 monographs. Research interests include hybrid systems of computational intelligence: adaptive, neuro-, wavelet-, neo-fuzzy-, real-time systems, including problems connected with control, identification, and forecasting, clustering, diagnostics, fault detection in technical, economic, medical and ecological objects. He is the IEEE senior member, member of 4 scientific and 7 editorial boards.

2. Speaker: Tetiana Hovorushchenko

(Doctor of Technical Sciences, Professor, Khmelnytskyi National University, Ukraine)

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Topic: Intelligent Information-Analytical Technologies for Improving the Software Quality by Assessing the Sufficiency of Information at Initial Stages of the Life Cycle.
Presentation in Ukrainian

Abstract: The field of software engineering needs special attention in the direction of development and implementation of effective information technologies, in particular, to solve the problem of software quality assurance. Developing high-quality software is a key factor in its effective use and one of the main needs of customers. The need for quality assurance is based on the fact that software errors and failures lead to disasters that lead to human casualties, environmental cataclysms, significant time losses and financial losses.
The critical impact on software projects and the success of their implementation are issues related to the analysis and evaluation of the initial stages of the life cycle. Today, when the number of high-budget software projects is growing rapidly, analysis of the specification of software requirements is actual. The possibility of automated assessment of the initial stages of the software life cycle, in particular, identifying and eliminating shortcomings of the initial stages of the software life cycle and the facts of the insufficiency of information, which is relevant to them, is actual too (moreover special attention needs to be paid to information about the non-functional characteristics of the software).
The need to ensure the quality of software, the presence of information losses in the formation and formulation of software requirements, the need to identify and eliminate insufficiency of information at the initial stages of the software life cycle creates an urgent scientific and applied problem, one way to solve which is to develop intelligent information technology for improving the quality of software by assessing the sufficiency of information in the early stages of the life cycle, which will provide the ability to identify lack of quality information in the specifications of the requirements in the early stages of the software life cycle and the ability to generate requests to supplement requirements by such information, which together will allow to assess the current situation and provide the appropriate level of quality at later stages of the software life cycle.
The presentation is devoted to solving the current scientific and applied problem of improving the quality of software in the early stages of the life cycle by assessing the sufficiency of information on quality in the specifications of software requirements. Developed intelligent information-analytical technologies for improving the quality of software by assessing the sufficiency of information in the early stages of the life cycle: will increase the level of sufficiency of information of requirements for determining the quality of software, thereby reducing the gap in knowledge about software projects; will provide a conclusion on the sufficiency of information on quality in the specification of requirements; will determine the priority of supplementing the specification with the necessary information (in case of insufficient information); will provide a quantitative assessment of the level of sufficiency of the quality information, which is available in the specification; will provide the opportunity to process quality information in the software requirements specifications by intelligent agents, without the participation of specialists, which will eliminate the subjective influence of specialists and the safety of this information in the software company in case of dismissal of specialists. The developed information-analytical technologies will automatically process the existing knowledge (quality requirements from the specification) and will form new knowledge (conclusions about the sufficiency of information, about the level of information sufficiency, recommendations for improving the sufficiency of information in the specification requirements). Developed intelligent information-analytical technologies will increase the sufficiency of information on quality in the specifications of software requirements to 100% – if it's necessary (for critical application systems) or at the request of the customer.

Resume: Tetiana Hovorushchenko received the Master Degree in Computer Engineering in 2002 from Technological University of Podillya (Khmelnytskiy), her PhD Degree in information technologies in 2007 from National University “Lvivska Politekhnyka”, her Degree of Doctor of Engineering Sciences in information technologies in 2018 from Ukrainian Academy of Printing (Lviv). Tetiana Hovorushchenko received the Degree of Senior Researcher in Information Technologies in 2010, her Degree of Docent of System Programming Department (Associate Professor) in 2011, her Degree of Professor of Computer Engineering & System Programming Department in 2019. Now she is a Head of Computer Engineering and System Programming Department of Khmelnytskyi National University, and Editor-in-chief of the scientific journal “Computer Systems and Information technologies”. Tetiana Hovorushchenko is the founder and general chair of the International Workshop on Intelligent Information Technologies and Systems of Information Security (IntelITSIS).

3. Information about research projects and conferences:
Anatoliy Sachenko
(Doctor of Technical Sciences, Professor, scientific advisor of Research Institute for Intelligent Computer Systems).
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Date: 24 February 2021 (Wednesday)
Place:
online (a link will be put in invitation)
Time: 17:00-19:00 (East European time, Kyiv)

AGENDA:

1. Speaker: Nataliya Shakhovska

(Doctor of Technical Sciences, Professor, Lviv Polytechnic National University)
ORCID ID: https://orcid.org/0000-0002-6875-8534
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Topic: The hierarchical classifier for COVID-19 resistance evaluation.
Presentation in Ukrainian
Abstract: Finding dependencies in the data requires the analysis of relations between dozens of parameters of the studied process and hundreds of possible sources of influence on this process. Dependencies are nondeterministic and therefore modeling requires the use of statistical methods for analyzing random processes. Part of the information is often hidden from observation or not monitored. That is why many difficulties have arisen in the process of analyzing the collected information. The paper aims to find frequent patterns and parameters affected by COVID-19. The novelty of the paper is hierarchical architecture comprises supervised and unsupervised methods. It allows the development of an ensemble of the methods based on k-means clustering and classification. The best classifiers from the ensemble are Random Forest with 500 trees and XGBoost. Classification for separated clusters gives us higher accuracy on 4% in comparison with while dataset analysis. The proposed approach can be used also for personalized medicine decision support in other domains. The features selection gives us to analyze the following features with the highest impact on COVID-19.

2. Speaker: Sergii Babichev

(Doctor of Technical Sciences, Professor, Jan Evangelista Purkyne University in Usti nad Labem, Czech Republic/ Kherson State University, Ukraine)
URL: https://ki.ujep.cz/cs/personalni-slozeni/sergii-babichev/
ORCID: https://orcid.org/0000-0001-6797-1467
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Topic: Techniques of gene expression profiles processing for purpose of gene regulatory networks reconstruction.
Presentation in Ukrainian
Abstract: The main direction of our research is focused to gene expression profiles processing for purpose of both gene regulatory network reconstruction and validation of the reconstructed models. This problem is one of the main directions of current bioinformatics.
The experimental foundation for our research are arrays of gene expressions obtained as a result of both DNA microarray experiments or RNA molecules sequencing technique. Gene expression in this case means a level of gene activity. This value is proportional to the number of genes that correspond to the appropriate type of protein in the biological organism.
Gene expressions profile is a vector of gene expressions determined for differed samples or different conditions of the experiment performing. Reconstruction of gene regulatory networks and further simulation of the reconstructed models form the basis for investigation and analysis of both the character of molecular systems elements interconnections and influences of these interconnections to functional possibilities of the investigated objects. The complexity of gene network reconstruction is determined by the following: the experimental data which are used for the reconstruction process usually does not allow defining the network structure and pattern of genes interconnection in the network. Moreover, a large quantity of genes complicates the interpretation of the network elements interconnections. In this case, it is necessary to conduct research concerning: experimental data pre-processing to determine the optimal ways of gene expression array formation; gene expression profiles reducing for purpose of informative genes allocation in terms of quantitative quality criteria; evaluation of both the network topology and the pattern of genes interconnection in the network with the use of experimental data obtained by the use of both DNA microchip experiment or RNA-molecules sequencing method. A qualitatively reconstructed gene regulatory network allows investigating the pattern of the biological organism development at the genetic level. It creates the conditions for both making new effective medicines and the development of methods of early diagnostics and effective treatment of complex diseases. This fact indicates the actuality of the research in this subject area.
Within the framework of this presentation, I would like to describe briefly a stepwise procedure of the gene expression data formation, pre-processing, and informative genes extraction for the purpose of both the gene regulatory network  reconstruction or diseases diagnostic system creation.

3. Information about research projects and conferences:
Anatoliy Sachenko

(Doctor of Technical Sciences, Professor, scientific advisor of Research Institute for Intelligent Computer Systems).
E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

 


Date: 23 December 2020 (Wednesday)
Place: online
Time: 17:00-19:00 (East European time)

AGENDA:

1. Speaker: Sergiy Lysenko

(Doctor of Technical Sciences, Khmelnytskyy National University)
URL: http://ki.khnu.km.ua/team/sergii-lysenko/
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Topic: Information Technologies for Proactive Cyberattacks Detection in Computer Systems.
Presentation in Ukrainian with slides in English

2. Speaker: Inna Skarga-Bandurova

(Doctor of Technical Sciences, professor, researcher of the laboratory of visual artificial intelligence, Oxford Brookes University; researcher of the department of mathematical and econometric modeling, Pukhov Institute of Modeling Problems in Energy, Ukrainian National Academy of Sciences)
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Topic: Challenges of Decision Making in Medical Robotics: Towards the Autonomous Surgical Robotic Systems.

3. Information about research projects, conferences and workshops:
Speaker: Anatoliy Sachenko
(doctor of technical sciences, scientific advisor of Research Institute of Intelligent Computer Systems).
URL: https://www.wunu.edu.ua/en/6998-sachenko-anatolii-oleksiiovych.html
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Date: 10 June 2020 (Wednesday)
Place: online
Time: 17:00-19:00 (East European time)

AGENDA:

1. Speaker: Volodymyr Pasicnyk

(doctor of technical sciences, professor of Department for Information Systems and Networks, Institute of Computer Sciences and Information Technologies, National University «Lviv Polytechnics»)
URL: http://wiki.lp.edu.ua/wiki/Пасічник_Володимир_Володимирович
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Topic: Information technology-smart weapons and locomotive of victory in the war with coronavirus: the concept of public IT arsenal.

2. Speaker: Igor Kotsiuba

(PhD, Pukhov Institute of Modeling Problems in Energy, National Academy of Sciences of Ukraine)
URL: http://www.nas.gov.ua/UA/PersonalSite/Statuses/Pages/default.aspx?PersonID=0000024464
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Topic: Digital Forensic Readiness in Critical and Smart Infrastructures.

3. Information about research projects, conferences and workshops:
Speaker: Anatoliy Sachenko

(doctor of technical sciences, scientific advisor of Research Institute of Intelligent Computer Systems).
URL: https://www.tneu.edu.ua/en/6998-sachenko-anatolii-oleksiiovych.html
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