Conferences and Meetings on Algorithms

Adam Mickiewicz University in Poznań

The CMSC conference series was initiated in 2013. The aim is to explore new ways of communicating the rich algorithmics and mathematics underlying computer science. The conference aims also to engage research mathematical scientists in outreach and communication. Bringing together researchers, educators and communicators committed to bringing exploration and discovery into classrooms and among the educated public, the conference hopes to explore new ways of thinking initiated by Computer Science Unplugged and other similar efforts. We invite researchers, teachers, students and everybody interested in innovative teaching ways.

Faculty of Physical Sciences, National University of San Marcos

La nueva era de las tecnologías nos brindan una gran cantidad de datos que son relevantes y podrían ser usados para la toma de decisiones eficiente. Para lograr manipular y extraer información importante se usan técnicas como las de Machine Learning (ML). Con el pasar del tiempo esta herramienta se fue simplificando en los lenguajes de programación, hasta el punto de utilizar estas herramientas sin necesidad de conocer sus fundamentos matemáticos, ésta práctica genera problemas en el aprendizaje y desarrollo a nivel científico en el campo del ML.

Email: ricardo.quispe5@unmsm.edu.pe

Machine Learning, Statistics, Mathematics

Modern life science studies involve both biological and computational methods. Breakthrough results in these fields can only be achieved by tight communication and knowledge exchange between the two sides. The ultimate goal of the conference is to bring together bioinformaticians and biologists to share experience in development and practical application of bioinformatics algorithms.

Email: biata@spbu.ru

bioinformatics, computation biology, application, genomics, transcriptomics, Sequencing technologies, Molecular sequence analysis, Computational genomics, Genome assembly, Metagenomics, Agrigenomics, Viromics, CRISPR, Natural Producs Discovery

Genomics and Bioinformatics,    Systems Biology and Computational Biology

TU Wien / Journal Computational Methods in Applied Mathematics (CMAM)

The 9th edition of the conference (CMAM-9) takes place on July 13-17, 2020 in Vienna. The support of the Austrian Science Fund (FWF) through the Doctoral School (DK) Dissipation and dispersion in nonlinear PDEs (grant W1245) and the Special Research Program (SFB) Taming complexity in partial differential systems (grant F65), as well as of TU Wien and the Vienna Center for Partial Differential Equations is thankfully acknowledged.

Scientific Computing ,    Numerical Analysis and Computational Mathematics

Institute for Mathematical Sciences/National University of Singapore

The more data we have, the more data we need to process. Whether it is internet traffic or biological data, the hardware is never fast enough. The aim of this workshop is to focus on analysing data under new models: when the data cannot be stored (e.g., identifying viruses in the Internet traffic), when we use multiple cores to analyse the data, and when we are generating short sketches of the data to be sent and analysed by someone else. We believe a new set of algorithmic techniques (which rely mostly on statistics and on data structures) can be used in these models, and wish to find such techniques and employ them. An important focus of this workshop is to find algorithms which are elegant, and thus can also be used in practice. To develop these algorithms, it is critical to connect the key subareas of algorithmic research on big data. These key subareas include streaming, sketching, and sampling. The goal of the workshop is to bring researchers together from these different sub-areas and to establish strong collaborations among the attendees.

Applied Mathematics (in general),    Information & Knowledge Management, Big Data Computing

ACM Special Interest Groups on Algorithms and Computation Theory (SIGACT) and Computer Architecture (SIGARCH) and organized in cooperation with the European Association for Theoretical Computer Science

Software Engineering,    Distributed, Edge and Cloud Computing

The University of Sydney, School of Mathematics and Statistics

This workshop at the University of Sydney will bring together experts and emerging researchers from Australia, the USA and Europe to report on recent results and explore future directions in computational and algorithmic topology and related areas. There will be a focus on problems in computational geometric topology and computational algebraic topology. This workshop aims to stimulate interaction between researchers in order to bring about new collaborations on difficult problems that cannot be tackled from one viewpoint alone.

We plan to have talks by our invited speakers in the mornings, and open problem sessions, a poster session, and plenty of time for collaboration in the afternoons.

Invited Speakers:

Herbert Edelsbrunner (Institute of Science and Technology Austria)

Brittany Fasy (Montana State University)

Gregory Henselman (Princeton University)

Feng Luo (Rutgers University)

Zuzana Patáková (Institute of Science and Technology Austria)

Jessica Purcell (Monash University)

Vanessa Robins (Australian National University)

Organizers:

Jonathan Spreer (The University of Sydney)

Stephan Tillmann (The University of Sydney)

Katharine Turner (Australian National University)

Email: jonathan.spreer@sydney.edu.au

Computational topology, Low-dimensional topology, Topological Data Analysis, Computational geometry, Algebraic topology, Algorithms

Geometry and Topology,    Graph Theory and Combinatorics

University of Saskatchewan

The Canadian Conference on Computational Geometry (CCCG) is a forum to disseminate and discuss new theoretical and applied results in discrete and computational geometry. CCCG focuses on the design of efficient algorithms, the development of software, and the study of the mathematical foundations of computational problems whose formulations involve geometric constraints. The field of computational geometry is motivated by problems from a broad range of application areas, as diverse as computer graphics and animation, computer vision, computer-aided design and manufacturing, geographic information systems, pattern recognition, wireless communications, robotics, protein folding, urban planning, graph drawing, or statistical analysis.

Geometry and Topology,    Applied Mathematics (in general)

Universität Augsburg

Parametric optimization is a part of mathematical programming and has emerged as an exciting research area in theory, numerics and applications. It investigates the properties of solutions to optimization problems under data perturbations or uncertainty. Many relations to other disciplines of operations research, like stochastic programming, complementarity problems, mixed-integer problems, model-building, numerical methods, multi-objective optimization and optimal control, originate from these properties.

Operational research,    Modeling and Simulation

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;     Phone: [+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

High Performance Computing, Supercomputing, Parallel Computing,    Scientific Computing

Society for Industrial and Applied Mathematics (SIAM)

CIRM – Centre International de Rencontres Mathématiques

Applied Mathematics (in general),    Scientific Computing

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

Software Engineering,    Applied Mathematics (in general)

CIRM – Centre International de Rencontres Mathématiques

Neural Networks and Artificial Intelligence, Machine Learning,    Probability and Statistics, Game Theory