The Second International Workshop on Reliability Engineering and Computational Intelligence

13 - 15 November 2022, Delft, The Netherlands

Excellent papers for the 1st RECI workshop demonstrated strong synergy between Reliability Engineering and Computational Intelligence but scientific differences remain. The second RECI workshop attempts to address further integration by a) presenting papers on RECI topics, b) panel discussions about future RECI research and c) a curriculum discussion for an international RECI curriculum. The workshop is organized by University of Žilina, TNO, Delft University of Technology and the University of Huddersfield. Call for papers can be downloaded here.

The workshop will be supported by the following projects:

  • Advanced Centre for PhD Students and Young Researchers in Informatics (ACeSYRI) (Project EACEA.CBHE no.: 610166-EPP-1-2019-1-SK-EPPKA2-CBHE-JP supported by the European Union's Erasmus+ programme)
  • New Methods Development for Reliability Analysis of Complex System (Project APVV-18-0027 supported by the Slovak Research and Development Agency)
  • Safety Enterprise Architecture (TNO project 060.51672/01.03: Occupational Safety Innovation/Huddersfield)


The workshop RECI 2022 will be a hybrid event: we facilitate contributions in-person and online from Delft University of Technology. The organizers believe that the 55 Euro fee for in-person should not be prohibitive for in-person participation. On-line participation will be free of charge. TUDelft hosts the event at the event location ‘X’ on Mekelweg 8, 2628 CD, Delft, the Netherlands

The special section “Reliability Engineering and Computational Intelligence application in healthcare” will be organized under the workshop. The goal of this section is discussion relevant topics and trends of reliability engineering, data mining, and machine learning in healthcare, medicine, and biotechnologies. The possible topics of this section will be but not limited are:

  • Biomedical engineering
  • Innovative eHealth, Precision medicine, Applications and Products
  • Electronic Health Records and Medical Databases
  • Medical Image Analysis and Biomedical Visualization
  • Computer-Aided Diagnosis
  • Telemedicine, Telehealth and Remote Monitoring
  • Education in eHealth and Telemedicine
  • Legal, Social, Ethical and Financial Aspects

The section organization is supported by the project “University-Industry Educational Centre in Advanced Biomedical and Medical Informatics” (612462-EPP-1-2019-1-SK-EPPKA2-KA)

The workshop is a post-project activity of the project “Development of methods of healthcare system risk and reliability evaluation under coronavirus outbreak”. This project APVV PP-COVID-20-0013 has been supported by the Slovak Research and Development Agency in years 2020 and 2021.


The abstracts of the presentations will be published in the book of abstracts, which will be available on the website of the workshop. Also, authors of all presentations will be able to publish their own research as papers in the journal CERES.

Authors of the selected presentations will be invited to prepare contributions to the book “Reliability Engineering and Computational Intelligence” (working title), which will be published by Springer in a series of Studies in Computational Intelligence.

The presented contributions at the workshop RECI 2020 after review by the program committee were published in the book "Reliability Engineering and Computational Intelligence"

Important Dates

Abstract submission (extended)
4 November 2022
7 November 2022
Workshop dates
13-15 November 2022
Notification of acceptance for publication
10 January 2023
Camera ready format submission
25 January 2023


The workshop develops RECI as a research domain by calling papers on current research. Topics of interest include, but are not limited to:

  • Mathematical and computational methods for risk analysis
  • Computational intelligence for risk estimation
  • Digital technologies for reliability engineering
  • Software solutions for testing fault-tolerant systems
  • Data mining and Knowledge discovery
  • Methods based on Artificial Intelligence
  • Accident and incident investigation
  • Human reliability analysis
  • Risk and hazard analysis
  • Software reliability
  • Hardware and software solutions
  • Education and e-learning
  • Trends in RECI

Submission of Contributions

The presentation title, authors, their affiliations, and abstract should be sent to the easychair web-page. The abstract template (.docx format) can be downloaded here.


Please enlist as a participant through the registration form by November 7, 2022. If your contribution is aimed to the RECI workshop, please select “Attendance Type: RECI”. If you participate as a member of the ACESYRI project, please select “Attendance Type: ACESYRI”. If you are travelling to Delft to attend in person, please make that clear in the submission and send also an e-mail to: to confirm your presence in Delft.

Program Committee

General Chair



Organizing Committee

Keynote Speakers

Piero Baraldi

Department of Energy, Politecnico di Milano, Italy

Reliability: the Contribution of Computational Intelligence to Maintenance

Predictive Maintenance makes use of condition monitoring data to detect anomalies (i.e., recognize deviations from normal operating conditions) in production processes, manufacturing equipment and products, diagnose (i.e., characterize the occurring abnormal state) and prognose (i.e., predict the future evolution of the abnormal state up to failure). The capability of performing these tasks can bring significant economic, reliability and safety benefits. This presentation will illustrate the main challenges towards the deployment of predictive maintenance and its effective integration in the operation and maintenance of industrial systems. By way of examples of application, the opportunities provided by the recent advancements of computational intelligence, such as deep learning, with respect to predictive maintenance will be discussed.

Frank P.A. Coolen and Jinlei Qin

Department of Mathematical Sciences, Durham University, United Kingdom

Reliability Evaluation of Multi-State Systems with Multi-State Components using the Survival Signature

The presentation starts with a brief introductory overview of the survival signature for quantification of system reliability, where both the components and the systems only have two states: functioning or failed. The main contribution presented consists of generalization of the survival signature methodology to multi-state scenarios, where both the components and the system can have multiple possible states. Whilst the computation of such generalized survival signatures is non-trivial, an easy algorithm is presented for systems made up of subsystems, in case the overall system state is a function of only the states of the subsystems. Challenges for practical application to large-scale systems are discussed.

Ah-Lian Kor

Leeds Beckett University, United Kingdom

Expressive Cardinal Direction Representation and Reasoning

In the lecture, I shall demonstrate how to group the nine cardinal directions into sets (known as Horizontal Vertical Constraints Model, HVCM). Mereology (‘Whole and Part’) and cardinal direction relations are combined to create a hybrid model which is more expressive. Lastly, the 2-D HVCM is adapted and extended into a 3-D Horizontal and Vertical Constraints Block model so that it facilitates easy reasoning with 3-D volumetric regions (i.e. without holes and single-pieced) in the real physical world (e.g. intelligent robotics, building construction).

Organized by

Faculty of Management Science and Informatics, University of Žilina

University of Huddersfield

Delft University of Technology

In Cooperation with

Chapter of IEEE Reliability Society of the Czechoslovakia Section

Satbayev University

Nazarbayev University

Institute of Information Technologies

Supported by

Erasmus+ Programme

University-Industry Educational Centre in Advanced Biomedical and Medical Informatics

Advanced Centre for PhD Students and Young Researchers in Informatics

Slovak Research and Development Agency