The world as we know it is changing at an exponential rate. The new world has placed a new demand for countries to keep up and adapt in innovative ways. Developing countries are increasingly being left behind and access to new skills and capabilities is ever more inadequate. The African continent is being presented with an opportunity for scientific participation with the global community via...
This talk shares experiences around the development and implementation of the Southern African Development Community (SADC) Cyber-infrastructure Framework aimed at supporting multi-sectoral and multidisciplinary regional collaborations around big data projects of regional impact. The Cyber-infrastructure Framework envisaged a regional commons of high performance computing platforms over a...
Madagascar is one of the South African SKA partner countries on the AVN project. Located 50 km away from Antananarivo, the city of Arivonimamo hosts the old telecon dish to be converted into a radio telescope as part of the pan-African project. Despite the progress being made and various opportunities and support from the AVN and DARA community, there are still outstanding issues that need to...
Panel members:
Nadeem Oozeer
Tshiamo Motshegwa
Zara Randriamanakoto
Left Ventricular (LV) remodeling involves changes in the ventricular size, shape and function. Hence, analysis and prediction of LV remodeling is important to improve patient survival, emergency medical response and treatment strategies after acute myocardial infarction (AMI). As cardiac magnetic resonance imaging (MRI) is increasingly used in clinical assessment of cardiovascular diseases,...
This work refers to the construction of models using machine learning algorithms for early prediction (during the first 24 hours of admission) of hospital mortality in patients with coronary artery disease through the use of clinical notes and structured clinical data (electronic health record -EHR). The aim is to effectively identify suitable models to predict early mortality and recognize...
The talk focuses on Computational Fluid Dynamics as a digital technology practice implementation. These kind of techniques are not just useful in industry but in many different scientific research areas such as Astronomy and others.
Panel Members:
Dayang Iskandar
Fabian Garcia Nocetti
Germán Chaparro
Mauricio Suarez
Since 2017, my Thai collaborators (NARIT, MFU) and I have worked together on various Newton/GCRF-funded projects. The first of these projects focussed on using data from GOTO - a new wide-field, high-cadence optical astronomical survey - to expose Thai students and researchers to vast amounts of digital data. Initial projects focused on the development of Machine Learning algorithms to analyse...
Recommender systems are a large part of Machine Learning Research. Relating to the Telecom industry, Antel (a Uruguayan Telecom Company) have developed a machine learning recommender system model to give mobile phones recommendations for telecom retail.
In 2007, the national government and public and private entities defined that it was necessary to take advantage of Colombian biodiversity through a high-level research center in the country that developed and harnessed its great potential in the fields of Bioinformatics, Biology Computational and Data Science. This idea pointed to the achievement of the objectives in innovation and economic...
Big Data and Digital Technology are new eras in the world, many activities in our lives have a strong relationship to each other in this new era, whether in the government, industry, business, or education sectors. In this talk I would like to talk about big data and digital services as a new big business opportunity in Indonesia and look at the network infrastructure as the main carrying...
Panel Members:
James Mullaney
Sebastián Laborde
Eduardo Gómez Restrepo
Muhammad Taufik
Developing Big Data Analytics capacity in SKA African Partner Countries involves the roll-out of infrastructure to help build the expertise in the different countries. At the core of the infrastructure are the skills required to perform data analysis, such as scientific programming and machine learning algorithms. Hence this talk will focus on these developments in the 8 partner countries in Africa.
The 21st century can be the era of Big Data. Huge databases are generated by different scientific projects, industry and society in general. In the particular case of Astronomy, both ground (SKA, ALMA, SDSS, LSST, etc) and space telescopes (HST, Chandra, Spitzer, etc), as well as Astronomical Numerical Simulations (Millennium Simulation project, IllustrisTNG project, etc) are developed in...
In this talk I will present our work on the monitoring of an invasive weed called Parthenium, which spreads very quickly across Pakistan and can destroy a significant fraction of the crops if not actively controlled. Our research looks into implementing a new approach which relies on enabling large-scale monitoring using satellite imaging and taps on skills borrowed from astrophysics. We use...
Whenever we mention Big Data, we hear Machine Learning (ML) and/or Artificial Intelligence (AI). Is this required? Radio Frequency Interference (RFI) affects astronomical data that is
measured by radio telescope such as MeerKAT. RFI is known to be dynamic in various aspects. There is often claims that the RFI environment radio facility around site is changing . How can we quantify this from...
Panel member:
Happy Sithole
Alfredo J. Santillan
Rene Breton
Nadeem Oozeer
China has been taking part in SKA pre-construction since the 1990's; 21cma and FAST both have some relationship with SKA. In past years, we had involved many packages including DISH/CSP/SDP. We are highly involved with the SKA Regional Center construction from 2015 onwards. In this presentation, I will look at the progress of China SKA Regional Centre Prototyping, including the building,...
This talk will be about some of the most important astronomical projects in Algeria. I will speak mainly about the ongoing project of the Aures Observatory and the farm of telescopes for Transcient Monitoring (GWs, GRBS etc), the Schedular program with genetics algorithms, Site testing and Radioastronomy with an emphasis on Big Data requirements and needs (such as infrastructure and HPC).
The exoplanet research program was initiated in Bosscha Observatory since 2006 using the transit method. However, it was only since 2015 that the research program has been carried out more systematically and automatically. With the operation of the new telescope in 2014 and the implementation of the observation automation system, we have begun a new journey of exoplanets detection research....
Development of astronomy in South East Asian countries are gaining momentum mostly due to the success of human capacity building and increase in research funding. However, to contribute to the advancement of science at the forefront, in particular astrophysics, can be prohibitively costly for most developing countries. It is therefore imperative to construct collaborative strategies among...
Panel members:
Shaoguang Guo
Nassim Seghouani
Muhammad Yusuf
In this talk the problem of the external fluid passing around an obstacle in 2-dimensions will be dealt. The stream-vorticity formulation will be used in order to understand the behaviour of the fluid after passing such obstacle. Although the geometry of the obstacle will be a foundamental one, this can be changed to more complex topologies.
Large sensor-based science infrastructures for radio astronomy will be among the most intensive data-driven projects in the world, facing very high demanding computation, storage, management, and above all power demands. The geographically wide distribution of the radioastronomical sensors and and its associated processing requirements in the form of tailored High Performance Computing (HPC)...
Panel members:
Mark Thompson
Mauricio Suarez
Darwin Mena
Domingos Barbosa
