Conférences - Calcul scientifique

ADA University, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, IEEE Azerbaijan Chapter

On behalf of the Organizing and Steering Committees, we welcome you to submit your original research paper(s) to the 14th IEEE International Conference on Application of Information and Communication Technologies (AICT2020) to be held in Tashkent, Uzbekistan from 7th to 9th of October 2020. The AICT2020 is devoted to Scientific Heritage of Al-Khwarizmi, who we owe for the words Algorithm and Algebra. Al-Khwarizmi was born in 780 in Khiva, Khwarezm region of modern Uzbekistan.

Secretariat of AICT2020 Organizing Committee;     Tél.: [+994 (12) 437 3235];     Email.: aict@aict.info

Algorithms, Software Engineering, Information and Communication Technologies, Data Mining and Analysis, Big Data and Data, Engineering, Machine Learning, Natural Language Processing, Cyber Security, Web Mining and Visualization, High Performance Computing, New Computational Models for Big Data, Social network analysis, Fuzzy Logic and Soft-Computing

Algorithmes,    Superordinateur et ordinateur parallèle

Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing.

EMBL Events;     Tél.: [+49 6221 378 8797];     Email.: events@embl.de

International Telecommunication Union

Kaleidoscope 2020 – Industry-driven digital transformation is the twelfth in a series of peer-reviewed academic conferences organized by ITU to bring together a wide range of views from universities, industry, and research institutions. The aim of the Kaleidoscope conferences is to identify emerging advancements in information and communication technologies (ICTs) and, in particular, areas in need of international standards to aid the healthy development of the Information Society. The Fourth Industrial Revolution has data analytics at its core, and relies on innovations in fields such as robotics, cyber-physical systems, digital twins, virtual simulation, augmented reality, edge computing, artificial intelligence and blockchain – innovations all contributing to digital transformation of industrial processes. In particular, the manufacturing sector has been an early adopter of new technologies capitalizing on connectivity and intelligence, but these technologies introduce endless possibilities – the automotive, energy, retail and healthcare industries are all moving in this direction. Kaleidoscope 2020 calls for original academic papers sharing insight into ongoing projects and research relevant to digital transformation. It targets specialists in the fields of ICT and socio-economic development, including researchers, academics, students, engineers, policymakers, regulators, innovators, and futurists.

ITU Kaleidoscope Secretariat;     Email.: kaleidoscope@itu.int

Information and communication technologies (ICTs), standards, digital transformation, manufacturing and energy management, smart manufacturing, software defined networking, cyberphysical systems (CPS), cloud computing, fog computing, edge computing, mobile technologies, wireless networking (5G and beyond), machine-to-machine, 3D printing, advanced robotics, big data analytics, artificial intelligence (AI), machine learning, internet of things (IoT), industrial internet of things (IIoT), RFID technology, cognitive computing, trustworthiness, security, privacy

Informatique mobile & télécommunications,    Evénement multidisciplinaires ou générales en informatique

Chinese University of Hong Kong

The Chinese University of Hong Kong is pleased to host the 26th International Domain Decomposition Conference, DD XXVI, in Hong Kong, China. The purpose of the meeting is to discuss recent developments in various aspects of domain decomposition methods bringing together mathematicians, computational scientists, and engineers who are working on numerical analysis, scientific computing, and computational science with industrial applications.

Mathématiques numériques,    Mathématiques appliquées (en général)

CIRM – Centre International de Rencontres Mathématiques

Mathématiques appliquées (en général),    Algorithmes

Physique des hautes énergies, des particules et des champs,    Accélérateurs de particules

Society for Industrial and Applied Mathematics (SIAM)

Sponsored by the SIAM Activity Group on Computational Science and Engineering.

CIRM – Centre International de Rencontres Mathématiques

Analyse,    Physique mathématique

CIRM – Centre International de Rencontres Mathématiques

Physique mathématique,    Mathématiques appliquées (en général)

ICERM - The Institute for Computational and Experimental Research in Mathematics

Deep learning is profoundly reshaping the research directions of entire scientific communities across mathematics, computer science, and statistics, as well as the physical, biological and medical sciences . Yet, despite their indisputable success, deep neural networks are known to be universally unstable. That is, small changes in the input that are almost undetectable produce significant changes in the output. This happens in applications such as image recognition and classification, speech and audio recognition, automatic diagnosis in medicine, image reconstruction and medical imaging as well as inverse problems in general. This phenomenon is now very well documented and yields non-human-like behaviour of neural networks in the cases where they replace humans, and unexpected and unreliable behaviour where they replace standard algorithms in the sciences.

Tél.: [4018635030];     Email.: programstaff@icerm.brown.edu

CIRM – Centre International de Rencontres Mathématiques

Physique mathématique,    Simulation

Mathématiques appliquées (en général),    Spectroscopie de masse, chromatographie et résonance magnétique nucléaire

Mathématiques appliquées (en général),    Spectroscopie de masse, chromatographie et résonance magnétique nucléaire

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Particle Physicists study matter at is smallest scale and try to reveal how the physical world is constructed from elementary particles and the forces acting between them. The well-known proton, neutron and similar particles are composed of quarks. Atoms also contain electrons; together with the two heavier versions of the electron (the muon and tau), each with its associated neutrino, they make up the group of leptons. Another ingredient of the catalogue of particles is the Higgs boson, discovered at the CERN Lab's Large Hadron Collider (LHC) in 2012.

Statistique, Théorie des jeux,    Physique des hautes énergies, des particules et des champs

University of Luxembourg

The aim of the conference ICON STARF is to bring together young researchers and renowned experts in mathematical statistics, signal processing, statistical learning, probability, approximation theory, and all other areas that contribute to the mathematical development of data science. We shall allow time for discussion and stimulate scientific collaboration and exchange among participants. A low registration fee will enable PhD students, post-docs and young researchers to participate in the conference. ICON STARF is part of the SanDAL programme of the ERA Chair which has been awarded to the University of Luxembourg by the European Horizon 2020 initiative.

Statistique, Théorie des jeux,    Mathématiques appliquées (en général)

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

The development of high-performance simulation tools for real-life problems involving fluid flows and related transport phenomena frequently requires the use of numerical methods that are high-order accurate in space and time and preserve important physical properties of certain quantities of interest (such as nonnegativity of the water height in shallow water equation models). In recent years, the state of the art in the development of such schemes was significantly advanced by a breakthrough in theoretical analysis which has provided illuminating insights into the properties of existing methods and new design criteria for the development of improved solution strategies. However, many theoretical aspects of physics-aware discretization techniques still require further exploration or have not been put into practice so far. The purpose of this workshop is to bridge the gap between the mathematical theory and engineering practice.

Cours et évènements pour étudiants en mathématiques,    Simulation

Institute for Pure and Applied Mathematics (IPAM), UCLA

The aim of this program is to connect efforts of the mathematical and physical sciences communities to address the latest advances and new challenges on the understanding of multi-messenger astronomy. The IPAM program will comprise four workshops, each addressing a different topic: the generation of catalogs of waveform templates; the discussion of the mathematical modeling of the equations governing strong relativistic systems; parameter estimation of astrophysical sources of gravitational waves; and the state of the art of big data and deep learning techniques for GW data analysis.

Astronomie, astrophysique et cosmologie,    Physique des hautes énergies, des particules et des champs

CIRM – Centre International de Rencontres Mathématiques

Physique numérique,    Mathématiques appliquées (en général)