35th ECMS International Conference on Modelling and Simulation

ISSN 2522-2422 (ONLINE) - ISSN 2522-2414 (Print) - ISSN 2522-2430 (CD-ROM)

ECMS 2021

May 31st - June 2nd, 2021
Web-organised Conference
with printed and published proceedings


Keynote Speakers and Tutorial

ECMS papers are listed in DBLP, SCOPUS, ISI, INSPEC and DOI













We are happy to announce our Keynote Speakers

Webjørn Rekdalsbakken

NTNU: Norwegian University of Science and Technology

Department of ICT and Natural Sciences

Aalesund, Norway

Webjørn Rekdalsbakken is assoc. professor and leader of the bachelor program in Electrical Engineering at NTNU, Norwegian University of Technology and Science, Aalesund Campus, Norway. He was the last rector at the former Møre og Romsdal Engineering College (1994), which is now included in NTNU. He was leader of education at Campus Aalesund in the years before and after the merger with NTNU in 2016. He also held the position of Chair of the ECMS2013 conference in Aalesund.

together with

Kjell-Inge Gjesdal is the founder and CEO of Sunnmøre MRI Clinic. He holds positions as assoc. professor II at NTNU, Norwegian University of Technology and is a part time research scientist at Akershus University Hospital. He has a PhD in MRI physics from University of Aberdeen.


additional parts of the presentation will be given by
Øystein Bjelland, PhD candidate, NTNU 

Tor Ola Solheim, master student, NTNU


Digital Twins for Computer Haptic-Assisted 
	Orthopaedic Surgery

In medical imaging, digitalization has become the key aspect for future development. The realization of 3D organ models based on MRI, CT and ultrasound imaging is a growing research field. With the increasing amount of data from such medical examinations, and the improvement of the quality of the data, this creates unique possibilities to build realistic organ models. These models have the potential to very closely imitate both the anatomy and physiology of the human body. Therefore, such models could be used in the teaching of these disciplines, and not least in the planning and training of surgical interventions. In this project the goal is to establish digital twins of human joints, focusing on the knee and shoulder. The digitalization of medical imaging, and the digital acquisition of relevant medical data from many sources have opened up for the development of innovative and efficient tools constituting a new playground for surgeons and physicians. The access to real human physiological variables, combined with the increasingly advanced tools for designing and visualizing in 3D, opens the possibility of generating realistic digital 4D models of human joints. These 4D models will be designed as digital twins of its biological counterparts, including the functional positions, operational positions and dynamic variation of the 3D models. These models will be used in intelligent investigations of the joints, and in surgical interventions on the joints.

We are happy to announce a tutorial given by
Kishor S. Trivedi 
Duke University, North Carolina, USA

Kishor Trivedi is the Fitzgerald Hudson Professor in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. He has a 1968 B.Tech. (EE) from IIT Mumbai and MS’72/PhD’74 (CS) from the University of Illinois at Urbana-Champaign. He has been on the Duke faculty since 1975. He is the author of a well-known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, originally published by Prentice-Hall; a thoroughly revised second edition of this book has been published by John Wiley. The book is recently translated into Chinese. He has also published several other books: Performance and Reliability Analysis of Computer Systems, published by Kluwer Academic Publishers and Queueing Networks and Markov Chains, John Wiley. His latest book, Reliability and Availability Engineering is published by Cambridge University Press in 2017. He is a Life Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He has published over 600 articles, has supervised 48 Ph.D. dissertations and his h-index is 107. He is the recipient of IEEE Computer Society’s Technical Achievement Award for his research on Software Aging and Rejuvenation and IEEE Reliability Society’s Life Time Achievement Award. His. He has worked closely with industry in carrying our reliability/availability analysis, providing short courses on reliability, availability, and in the development and dissemination of software packages such as HARP, SHARPE, SREPT and SPNP.

Reliability and availability of hardware-software systems

High reliability and availability are requirements for most technical systems including computer and communication systems. Reliability and availability assurance methods based on probabilistic models is the topic addressed in this talk. Non-state-space solution methods are often used to solve models based on reliability block diagrams, fault trees and reliability graphs. Relatively efficient algorithms are known to handle systems with hundreds of components and have been implemented in many software packages. Nevertheless, many practical problems cannot be handled by such algorithms. Bounding algorithms are then used in such cases as was done for a major subsystem of Boeing 787. Non-state-space methods derive their efficiency from the independence assumption that is often violated in practice. State space methods based on Markov chains, stochastic Petri nets, semi-Markov and Markov regenerative processes can be used to model various kinds of dependencies among system components. Linux Operating System and WebSphere Application server are used as examples of Markov models. IBM research cloud is used as an example of stochastic Petri net model. However, the state space explosion of such models severely restricts the size of the problem that can be solved. Hierarchical and fixed-point iterative methods provide a scalable alternative that combines the strengths of state space and non-state-space methods and have been extensively used to solve real-life problems. Real-world examples of such multi-level models from IBM, Cisco and Sun Microsystems will be discussed. Hardware systems as well as software systems and their combinations will be addressed via these examples. Novel approaches to software fault tolerance will be discussed.




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