Computational Decision Making under Uncertainty (EMI/PMC 2020)

Message de Kostas Papakonstantinou <kpapakon@psu.edu>
Dear Colleague,

We are sending this email to invite you to a mini-symposium on

“Computational Decision Making under Uncertainty”

at the 2020 Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2020) at Columbia University in New York, New York, on May 26-29, 2020 (https://www.emi-conference.org/).

The scope of this mini-symposium is described in the abstract below. An abstract is required by January 15th through the online submission system at the conference website (https://www.emi-conference.org/program/call-abstracts). Please submit your abstract to MS 307 for this mini-symposium.

Best regards and looking forward to seeing you in New York.

The organizers:

Kostas Papakonstantinou, Penn State University

Daniel Straub, Technische Universität München
Matteo Pozzi, Carnegie Mellon University
Charalampos Andriotis, Penn State University

ABSTRACT:
==============================
At the core of every engineering problem lies a decision-making quest, either directly or indirectly. Sophisticated UQ methods are essentially providing decision support through efficient quantification of selected metrics and quantities of interest, and sensitivity analysis. Nonetheless, despite significant progress in UQ methods and techniques, dedicated rigorous computational methodologies for engineering decisions under uncertainty have only recently begun to emerge. In this context, the focus of this mini-symposium is on the integration of stochastic models, data analytics, and artificial intelligence methodologies towards optimum computational decision-making under uncertainty and formal decision analysis frameworks, with emphasis on challenging sequential decision-making problems. Selection of metrics for UQ analysis based on decision-theoretic considerations are also of interest, such as the choice of appropriate objective functions and decision-theoretic sensitivity measures. Computational decision-making able to directly offer optimal actions to decision-makers is of increasing relevance in many fields of application and is also related to the science of autonomy. For instance, engineering and natural systems are exposed to a number of adverse operating conditions. Various deteriorating factors, emerging stressors of ever-changing environments, and numerous natural or manmade hazards necessitate decision-making approaches able to provide intelligent and effective management solutions, both for emergency response and preventive/corrective maintenance and inspection planning, for challenging settings featuring vast spaces and complex spatiotemporal dynamics. Other areas of interest, both in terms of methodologies and applications, include, but are not limited to:

  • Data analytics and data-driven modeling
  • Machine learning / artificial intelligence methods
  • Deep learning architectures
  • Uncertainty Quantification
  • Markov Decision Processes under perfect and partial information
  • Value of Information and structural health monitoring
  • Stochastic control
  • Multi-agent systems
  • Multi-objective optimization
  • Dynamic programming
  • Real-time inference
  • Autonomous systems
  • Structural identification methods
  • Bayesian networks
  • Bayesian modeling and inference
  • Renewal processes
  • Life-cycle infrastructure management and optimization
  • Inspection and maintenance planning
  • Resilient recovery and emergency response
  • Risk and reliability assessment
  • Probabilistic performance-based engineering

==============================

EMI/PMC 2020 at Columbia University in New York, New York, on May 26-29, 2020

Dear Colleague,

We are sending this email to invite you to a mini-symposium on

“Computational Decision Making under Uncertainty”

at the 2020 Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2020) at Columbia University in New York, New York, on May 26-29, 2020 (https://www.emi-conference.org/).

The scope of this mini-symposium is described in the abstract below. If you are interested in presenting in this session, please notify us and send us a tentative title and a list of authors. An abstract is required by January 15th through the online submission system at the conference website (https://www.emi-conference.org/program/call-abstracts). Please submit your abstract to MS 307 for this mini-symposium.

Best regards and looking forward to seeing you in New York.

The organizers:

Kostas Papakonstantinou, Penn State University

Daniel Straub, Technische Universität München
Matteo Pozzi, Carnegie Mellon University
Charalampos Andriotis, Penn State University

ABSTRACT:
==============================
At the core of every engineering problem lies a decision-making quest, either directly or indirectly. Sophisticated UQ methods are essentially providing decision support through efficient quantification of selected metrics and quantities of interest, and sensitivity analysis. Nonetheless, despite significant progress in UQ methods and techniques, dedicated rigorous computational methodologies for engineering decisions under uncertainty have only recently begun to emerge. In this context, the focus of this mini-symposium is on the integration of stochastic models, data analytics, and artificial intelligence methodologies towards optimum computational decision-making under uncertainty and formal decision analysis frameworks, with emphasis on challenging sequential decision-making problems. Selection of metrics for UQ analysis based on decision-theoretic considerations are also of interest, such as the choice of appropriate objective functions and decision-theoretic sensitivity measures. Computational decision-making able to directly offer optimal actions to decision-makers is of increasing relevance in many fields of application and is also related to the science of autonomy. For instance, engineering and natural systems are exposed to a number of adverse operating conditions. Various deteriorating factors, emerging stressors of ever-changing environments, and numerous natural or manmade hazards necessitate decision-making approaches able to provide intelligent and effective management solutions, both for emergency response and preventive/corrective maintenance and inspection planning, for challenging settings featuring vast spaces and complex spatiotemporal dynamics. Other areas of interest, both in terms of methodologies and applications, include, but are not limited to:

  • Data analytics and data-driven modeling
  • Machine learning / artificial intelligence methods
  • Deep learning architectures
  • Uncertainty Quantification
  • Markov Decision Processes under perfect and partial information
  • Value of Information and structural health monitoring
  • Stochastic control
  • Multi-agent systems
  • Multi-objective optimization
  • Dynamic programming
  • Real-time inference
  • Autonomous systems
  • Structural identification methods
  • Bayesian networks
  • Bayesian modeling and inference
  • Renewal processes
  • Life-cycle infrastructure management and optimization
  • Inspection and maintenance planning
  • Resilient recovery and emergency response
  • Risk and reliability assessment
  • Probabilistic performance-based engineering

24-26 mars à Clermont : Journées Fiabilité

Message de Alaa Chateauneuf.

Bonjour à tous,

Nous avons le plaisir de vous inviter à soumettre un résumé aux Journées de Fiabilité des Matériaux et des Structures, qui se dérouleront du 24 au 26 mars 2020 à Clermont-Ferrand.

Les thèmes des sessions et les instructions aux auteurs, notamment le format du résumé sont disponibles sur le site de la conférence :

https://jfms2020.sciencesconf.org/

Vous pouvez soumettre vos résumés directement sur ce site.

La date limite de soumission est fixée au 15 octobre 2019.

Je vous remercie également de diffuser largement cet appel à vos contacts et réseaux concernés.

En espérant vous recevoir prochainement à Clermont-Ferrand.

Bien cordialement

Pour le comité d’organisation,

Alaa Chateauneuf

 

Actualité de l’IMdR

Publié le 20 novembre

Flash Info IMdR

Publié le 2 septembre

Flash Info IMdR

Publié le 3 juillet

Flash Info IMdR

Publié le 17 juin

Les Entretiens du risque 2019 : prendre en compte la dimension éthique pour mieux maîtriser les risques

Publié le 7 janvier

Flash Info IMdR

Invitation journée annuelle « Jeunes ingénieurs / jeunes chercheurs » de l’IMdR.

Publié le 11 décembre

Flash Info IMdR

 

Publié le 3 juillet

Invitation

Publié le 10 avril

Flash Info IMdR

Publié le 6 mars

Flash Info IMdR

Publié le 15 février

10e édition de la journée « Jeunes Ingénieurs et Jeunes Chercheurs »

Publié le 5 février

Flash Info IMdR

Publié le 24 janvier

Flash Info IMdR

Publié le 10 janvier

Flash Info IMdR janvier 2018

Publié le 20 décembre

Vœux de l’IMdR.

Publié le 6 décembre

Flash Info IMdR décembre 2017

Publié le 8 novembre

Flash Info IMdR novembre 2017

Annonce de conférences :

  • 12 octobre 2017 – Risk intelligence and Decisions: Project Management.
  • 14 et 15 novembre 2017 – Les Entretiens du Risque 2017.
  • 27 novembre – Asset Management.

Publié le 7 juillet

Flash Info IMdR juillet 2017.

Publié le 22 juin

Annonce du 21ème congrès Lambda-Mu – Reims, 16-18 octobre 2018 :

MAÎTRISE DES RISQUES ET TRANSFORMATION NUMÉRIQUE : OPPORTUNITÉS ET MENACES

Publié le 18 mai

L’IMdR – Institut pour la Maîtrise du Risque – est une association dont la vocation est d’aider les entreprises et les organismes publics à adopter, face aux risques, une démarche préventive pour correctement identifier, évaluer, quantifier, hiérarchiser, maîtriser et gérer les événements redoutés.

Cet article se propose de relayer les informations diffusées par l’IMdR.

mai 2017 : flash-info

14 et 15 novembre 2017 : entretien du risque

6 juin 2019 : séminaire Statistique Grande Dimension

De la part de Phimeca.

Peut-être êtes-vous souvent confrontés à des problèmes dans lesquels des variables de grande dimension interviennent et complexifient les méthodes utilisées… En tout cas, dans l’équipe Fiabilité Incertitude Paris, c’est notre pain quotidien et plutôt que de faire les choses dans notre coin, on a voulu ouvrir ce sujet en organisant un séminaire sur ce thème.

C’est ainsi qu’est née la première Rencontre chercheurs et ingénieurs organisée par Phimeca et qui aura lieu le 6 juin prochain, à l’Institut Henri Poincaré à Paris.

Durant cette journée, 6 intervenants d’horizons différents présenteront leur travaux et les problèmes auxquels ils sont confrontés dans lesquels la grande dimension a son importance :

  • Joël Merker : Spéculations sur le Grand Intervalle entre calcul formel et idéalisations abstraites
  • Stéphane Girard : Un aperçu des méthodes statistiques pour la classification et la régression en grande dimension
  • Andrei Zinovyev : Geometry of large data point clouds in high dimensions: examples from biology
  • Guillaume Perrin : Goal-oriented designs for statistical learning in high dimension
  • Sylvain Girard : Expériences numériques avec des modèles spatio-temporels
  • Julien Tierny : Introduction à l’analyse topologique de données

 

C’est gratuit et ouvert à tous (sur inscription), donc n’hésitez pas à venir si le sujet vous intéresse et à en parler autour de vous si vous connaissez des personnes qui pourraient être intéressées.
Il y a pour le moment une trentaine de personnes inscrites et ce nombre continue d’augmenter tous les jours en ce moment 👍
Toutes les infos sont sur : http://seminaire.phimeca.com/

A très bientôt

Raphaël Périllat

UQLab

Message de Bruno Sudret sur le logiciel UQLab

Dear Colleague

The new version of UQLab (V1.2) was released on March 7, 2019.

UQLab is a general purpose Uncertainty Quantification software developed at ETH Zurich (Switzerland) made of interacting modules that solve all types of uncertainty quantification problems in engineering, economics and applied sciences: uncertainty propagation through Monte Carlo simulation (e.g. using surrogate models such as Gaussian processes, polynomial chaos expansions, support vector machines, etc.), sensitivity analysis, rare event estimations, etc.

Two new modules are released in V1.2:

  • Bayesian inference for inversion and model calibration allows the user to calibrate complex computational models with heterogeneous data in a simple manner, and to carry out model inversion in the large.

The UQLab infrastructure provides all the tools for posing inversion problems in no time, seamlessly use surrogate models together with various efficient MCMC (Markov Chain Monte Carlo) solvers.

 

  • UQLib is a collection of standalone routines for differentiation, optimization and for kernel methods that can be used independently from UQLab.

 

Moreover, the Sensitivity Analysis module has been enriched with methods that allow one to address problems with dependent input parameters.

 

Visit our website www.uqlab.com. Register, download, enjoy!

 

The UQLab Development Team

ETH Zürich | Chair of Risk, Safety & Uncertainty Quantification

Prof. Bruno SUDRET

 

 

 

 

First International Symposium on Risk Analysis and Safety of Complex Structures and Components – IRAS2019.

Dear Colleagues,

You are cordially invited to submit abstracts for presentation at the First International Symposium on Risk Analysis and Safety of Complex Structures and Components (IRAS2019), which will be held in the Faculty of Engineering of the University of Porto, Portugal, from 1-2 July 2019 (http://fe.up.pt/iras2019).

Abstracts within the scope of the several proposed symposia or covering general topics of the IRAS2019 are welcome. The current approved symposia are:

A – Probabilistic Fatigue & Fracture Approaches Applied to Materials and Structures.

B – Vibrations, fatigue and fracture problems in safety of engineering structures.

C – Structural Integrity of Renewable Energy and Oceanic Structures.

D – Structural Integrity of Lightweight Structures – experimental, theoretical and numerical approach.

E – Lifelines and Infrastructures Safety Evaluation (Manmade-, Natural-, and Multi‑Hazards).

F – Safety and Structural Integrity of Railway Structures and Rolling Stock.

G Failure mechanism and life assessment under defects.

H Environmental effect on structural integrity.

I Fatigue of Steel and Composite Structures.

More details about the symposia at https://paginas.fe.up.pt/~iras2019/?page_id=25

Abstracts Submission Deadline (new date): 31st January 28th February 2019

Abstracts proposals should be submitted to: iras2019@fe.up.pt

Accepted papers will be published in a Special Issue of the Open Access Procedia Structural Integrity, published by the Elsevier (https://www.journals.elsevier.com/procedia-structural-integrity).

Various Special Issues in International Journals are also foreseen for publication of extended versions of selected papers.

We are pleased to inform about the invited speakers:

 – Prof. Hojjat Adeli, Ohio State University & Editor in Chief of Computer-Aided Civil and Infrastructure Engineering, USA

« Machine Learning and Structural Health Monitoring »

 – Prof. Guian Qian, Chinese Academy of Sciences, China

Application of weakest link concept to fatigue and fracture assessment »

– Prof. Tomasz Nowakowski, Wroclaw University of Science and Technology, Poland

« From Reliability to Resilience: Advanced Challenges for Technical System Performances »

– Prof. Milan Veljkovic, Delft University of Technology, Netherlands

« Overview of TUD-Stevin Laboratory fatigue research and recent results »

 More details at https://paginas.fe.up.pt/~iras2019/?page_id=21.

We are looking forward to receiving your submissions and welcoming you in PORTO!

Best Regards,

IRAS2019 Chairs

Abílio M.P. de Jesus, António Abel Henriques, José A.F.O. Correia, Pedro A. Montenegro, Rui Calçada

First International Symposium on Risk Analysis and Safety of Complex Structures and Components – IRAS2019.

Faculty of Engineering, University of Porto, Portugal

01-02 July, 2019

http://fe.up.pt/iras2019

iras2019@fe.up.pt

 

QR2MSE2019 Full Paper Submission Deadline Extended To 30th March, 2019

Dear Colleagues,

The 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2019) (http://www.qr2mse.org) will be the major international event in the fields of quality, reliability, risk, maintenance and safety in 2019. The conference brings together experts from various industries, research organizations, regulatory authorities and universities. It offers a platform for exchange of innovative ideas, cutting-edge research results, and applications of materials, reliability and quality tools in design, manufacturing, and operation and maintenance of engineering systems. The multidisciplinary conference will also be an opportunity for researchers and practitioners, academics and engineers to meet, exchange ideas and gain insights from each other.

We cordially invite you to participate in the QR2MSE 2019 that to be held in August 06-09, 2019, in Zhangjiajie, Hunan, China. You are expected to make contributions to our conference via submitting high quality papers and attending the conference.

For convenient most authors, the Full Paper Submission Deadline is now extended to 30th March, 2019. Please note that there will no more extension.

More detailed information can be found at http://www.qr2mse.org/ or consulting with icqrms@uestc.edu.cn.

IMPORTANT DATES

Full Paper Submission Deadline February 10, 2018 Extended To March 30, 2019
Full Paper Acceptance Notification March 10, 2018 Extended To April 15, 2019
Camera Ready Papers Due March 30, 2018 Extended To April 30, 2019

QR2MSE  Conference Secretariat

Fax: +86-(0)28-61830227

Email: icqrms@uestc.edu.cn

Web: http://www.qr2mse.org/

Stochastic Optimization, Uncertainty and Probability

We would like to kindly invite you to submit an abstract to the symposium

“Stochastic Optimization, Uncertainty and Probability”(Track 5 Dynamics, Vibration and Control, Topic 5-13)

which we are organizing within the

ASME 2019 IMECE-International Mechanical Engineering Congress & Exposition

November 8-14, 2019, Calvin L. Rampton Salt Palace Convention Center, Salt Lake City, Utah, USA (https://www.asme.org/events/imece)

 

This symposium aims to bring together researchers from both academy and industry to discuss the latest advances in stochastic optimization, uncertainty, probability and related fields (non-probabilistic analysis of uncertainty) with emphasis on applications to dynamics, vibration and control problems. Contributors are invited to present recent theoretical and computational developments focusing on their applicability in the field of real mechanical engineering problems. The topics to be covered may include, but are not limited to: stochastic programming; robustness; sensitivity; reliability-based optimization; uncertainty quantification (probabilistic approaches, interval model, convex models, fuzzy sets, Bayesian model, etc.); stochastic analysis; reliability assessment.

Authors of selected papers presented at IMECE 2019 will be invited to resubmit revised versions of their papers for publication consideration in the ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering (https://risk.asmedigitalcollection.asme.org/journal.aspx)

In order for your abstract to be considered, you must submit it online. Please, follow the instructions at https://www.asmeconferences.org/IMECE2019/Author/NewAbstract.cfm

 Deadline for Abstract Submission: February 25, 2019

Please, note that the deadline will NOT be extended.

We would appreciate if you could notify us by sending a copy of the abstract (email: alba.sofi@unirc.it).

Please accept our apologies if you receive this call for papers more than once.

Sincerely,

Alba Sofi, University « Mediterranea » of Reggio Calabria (alba.sofi@unirc.it)

Isaac Elishakoff, Florida Atlantic University (elishako@fau.edu)

Giuseppe Muscolino, University of Messina (gmuscolino@unime.it)

1st International Symposium on Risk Analysis and Safety of Complex Structures and Components – IRAS2019

Dear Colleagues,

You are cordially invited to submit abstracts for presentation at the First International Symposium on Risk Analysis and Safety of Complex Structures and Components (IRAS2019) which will be held in the Faculty of Engineering of the University of Porto, Portugal, from 1-2 July 2019 (http://fe.up.pt/iras2019).

You are also invited to organize a thematic session (symposium) at the IRAS2019, submitting your proposal to the conference chairs for approval and publication in the conference website.

Symposia Submission Deadline: 15th January 2019

Abstracts Submission Deadline: 31st January 2019

Abstracts and Thematic Sessions (Symposia) Proposals should be submitted to: iras2019@fe.up.pt

Accepted abstracts will published in a Conference Book of Abstracts.

Accepted papers will be published in a Special Issue of the Open Access Procedia Structural Integrity, published by the Elsevier (https://www.journals.elsevier.com/procedia-structural-integrity).

Various Special Issues in International Journals are also foreseen for publication of extended versions of selected papers.

We are looking forward to receiving your submissions and welcoming you in PORTO!

Best Regards,

IRAS2019 Chairs

Abílio M.P. de Jesus, António Abel Henriques, José A.F.O. Correia, Pedro Montenegro, Rui Calçada

1st International Symposium on Risk Analysis and Safety of Complex Structures and Components – IRAS2019

Faculty of Engineering, University of Porto, Portugal

01-02 July, 2019

http://fe.up.pt/iras2019

iras2019@fe.up.pt