Page History

06.10.2017 

Renny Arismendi

Himanshu

Srivastav

Title: New Ph.D. candidate self-introduction

Renny_self_introduction.pdf

Himanshu_self_introduction.pdf

ROSS Gemini Seminar(SHE)

This first seminar is held by Safety, Health and Environment (SHE) section, at meeting room F5(("Gamlefysikk, 2.etasje"), kl14.00-16.00. The seminar will include short presentations on topics from ongoing activities in the group, and may this time include arctic safety, safety in fish farm industry, maritime management and accident in building and construction sector.

Lin Xie

Aibo Zhang

Title: New Ph.D. candidate self-introduction

Self introduction_Lin.pdf

Self introduction_Aibo.pdf

Prof. Baruch Barzel

(Bar-Ilan University)

Title: Dynamic Resilience of Complex Networks (PresentationBarzel.pdf)

Abstract:

Resilience, a system’s ability to retain functionality under errors, failures and environmental perturbation, is a defining property of many complex systems. Yet, despite its widespread consequences for human health, the economy and the environment, events leading to loss of resilience - from cascading failures in technological systems to mass extinctions in ecological networks - are rarely predictable and are often irreversible. This lacuna is rooted in a deep theoretical gap: the current analytical framework of resilience is designed to treat low-dimensional models with a few interacting components, overlooking the complex multi-dimensional nature of most real social, biological and technological systems. How then do we predict and influence the resilience of a complex networked system? To achieve this we will expose the natural control parameters of network resilience, providing us with a universal framework to understand, predict and ultimately influence the resilience of complex networks.  Along the way, we will also learn why your friends have more friends than you do...

 For more details see ''Universal resilience patterns in complex networks'', Nature 530, 307–312 (2016).

About speaker:

Baruch Barzel is an Israeli physicist and applied mathematician at Bar-Ilan University. His main research areas are statistical physics, complex systems, nonlinear dynamics and network science. Barzel completed his Ph.D. in physics at the Hebrew University of Jerusalem, Israel as a Hoffman Fellow. He then pursued his postdoctoral training at the Center for Complex Network Research at Northeastern University and at the Channing Division of Network Medicine, Harvard Medical School. Dr. Barzel's research focuses on the dynamic behavior of complex networks, uncovering universal principles that govern the dynamics of diverse systems, such as disease spreading, gene regulatory networks, protein interactions or population dynamics(Ref. https://en.wikipedia.org/wiki/Baruch_Barzel).

You can find more information at http://u.cs.biu.ac.il/~barzelb/index.html.

Pierluigi Salvo Rossi

(Principal Engineer, Kongsberg Digital AS)

Title: Machine Learning & Industry 4.0 (Kongsberg Digital presentatio_DDL.pdf)

Abstract:

Artificial intelligence, big data, internet of things, machine learning, sensor networks are popular terms which currently pervade almost every human activity. A crucial field which contributes significantly to their success is the industrial setting, where the marriage between information technology and process technology is denoted Industry 4.0.

This talk will start with introducing the driving elements which contributed to the large popularity of machine learning in the industrial setting and then focus on the significant role that such knowledge plays within the Kongsberg Group. Activities, where Kongsberg Digital is developing machine-learning tools, are presented and special emphasis is given to the projects in collaboration with NTNU.

About speaker:

Pierluigi Salvo Rossiwas born in Naples, Italy, 1977. He received the Dr.Eng. degree in telecommunications engineering (summa cum laude) and the Ph.D. degree in computer engineering, in 2002 and 2005, respectively, both from the University of Naples “Federico II”, Naples, Italy. From 2005 to 2008, he worked as a postdoc at the Dept. Computer Science & Systems, University of Naples “Federico II”, Naples, Italy, at the Dept. Information Engineering, Second University of Naples, Aversa (CE), Italy, and at the Dept. Electronics & Telecommunications, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. From 2008 to 2014, he was an Assistant Professor (tenured in 2011) in telecommunications at the Dept. Industrial & Information Engineering, Second University of Naples, Aversa (CE), Italy. From 2014 to 2016, he was an Associate Professor in signal processing with the Dept. Electronics & Telecommunications, NTNU, Trondheim, Norway. From 2016 to 2017 he was a Full Professor in signal processing with the Dept. Electronic Systems, NTNU, Trondheim, Norway. Since 2017 he is a Principal Engineer with the Advanced Analytics and Machine Learning Team, Kongsberg Digital AS, Norway. He held visiting appointments at the Dept. Electrical & Computer Engineering, Drexel University, Philadelphia, PA, US, at the Dept. Electrical & Information Technology, Lund University, Lund, Sweden, at the Dept. Electronics & Telecommunications, NTNU, Trondheim, Norway, and at the Excellence Center for Wireless Sensor Networks (WISENET), Uppsala University, Uppsala, Sweden.

He is an IEEE Senior Member and serves as Senior Editor for the IEEE Communications Letters (since 2016) and Associate Editor for the IEEE Transactions on Wireless Communications (since 2015). He was Associate Editor for the IEEE Communications Letters (from 2012 to 2016). His research interests fall within the areas of communications and signal processing.

ROSS Gemini Seminar(RAMS)

Abstract:

• Safety philosophy in subsea systems (SFI SUBPRO) (Hyung Ju Kim)
• Risk Management – Oil and gas processing (Marta Bucelli)
• Maintenance optimization – Structures (Renny Arismendi)
• Model engineering (Liu Yang)

Liu Yang

Closing social event

Title: Algebraic foundation of combinatorial reliability models (Finite Degradation Structures - Liu Yang.pdf)

Abstract:

The combinatorial models, including fault trees and reliability block diagrams, are basic models in reliability analysis, in which components are traditionally assumed to be either working or failed (i.e. Boolean cases), and then to be composed using the logic connectives (and, or, …) to represent the failure mechanism of the system. In our work, the mathematical foundation of these models is extended from the Boolean algebra to a more generalized algebraic structure, which we call the “Finite Degradation Structure” that allows a component to have more than two states (working, degraded, failed1, failed2, …) but still be combinatorial. This presentation will start with a formal introduction of the Combinatorial Degradation Structure, including some basic concepts and the extended minimal cut sets and importance measurements. Then, a couple of examples will be given to show how it works for reliability analysis.

About speaker:

Liu Yang, Ph.D.student of RAMS group, MTP, NTNU.

Pizza or cake