The Ceylon Computer Science Institute (C2SI) conducts research in various domains, including security, artificial intelligence, mobile applications, cloud computing, and software tools. Our research aims to create computing solutions by identifying low-cost methodologies and strategies that promote sustainability. Currently, C2SI is at a pivotal stage in its evolution, having secured high donor confidence, as evidenced by multiple foreign-funded projects. The institute focuses on developing sustainable computing solutions that leverage low-cost computing and communication technologies, particularly for developing and emerging regions worldwide. We have developed several affordable and sustainable ICT solutions, with a special focus on the needs of the developing world. These solutions are briefly described in the projects section.
DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. It allows for a global and unified access to Knowledge Graphs.
EMBL-EBI is a global centre for biological data, developing and maintaining open data resources and open-source software that support life science research worldwide. Our services are used daily by researchers across academia, healthcare, and industry, and span genomics, transcriptomics, metagenomics, molecular interactions, chemistry, and functional annotation.
GeomScale is a research and development project that delivers open source code for state-of-the-art algorithms for problems at the intersection of data science, optimization, geometric, and statistical computing. The current focus of GeomScale is on scalable algorithms for sampling from high-dimensional distributions, integration, convex optimization, and their applications. One of our ambitions is to fill the gap between theory and practice by turning state-of-the-art theoretical tools in geometry and optimization to state-of-the-art implementations. Towards this goal, we will deliver various innovative solutions in a variety of application fields, like finance, computational biology, and statistics that will extend the limits of contemporary computational tools. GeomScale aims in serving as a building block for an international, interdisciplinary, and open community in high dimensional geometrical and statistical computing. The main development is currently performed in volesti, a generic open source C++ library, with R and python interfaces (the latter is hosted in package dingo), for high-dimensional sampling, volume approximation, and copula estimation for financial modelling. In particular, the current implementation scales up to hundred or thousand dimensions, depending on the problem. To our knowledge it is the most efficient software package for sampling and volume computation to date. It is, in several cases, orders of magnitude faster compared to packages that solve the same problems. It can be used to compute challenging multivariate integrals and to approximate optimal solutions in optimization problems. It has already found important applications in systems biology by analyzing large metabolic networks (e.g., the latest human network) and in FinTech by detecting shock events and by evaluating portfolios performance in stock markets with thousands of assets. Other application areas include AI and in particular approximate weighted model integration. Recent studies has shown a potential application of volesti methods in trustworthy AI, static analysis of programs and differential privacy.
The Global Alliance for Genomics and Health (GA4GH) was formed to help accelerate the potential of genomic medicine to advance human health. It brings together over 400 leading genome institutes and centers with IT industry leaders to create global standards and tools for the secure, privacy respecting and interoperable sharing of Genomic data.
The International Neuroinformatics Coordinating Facility (INCF; www.incf.org) is an international organization launched in 2005, following a proposal from the Global Science Forum of the OECD.
U.S. IOOS is a national and regional partnership working to provide ocean, coastal and Great Lakes observations, data, tools, and forecasts to improve safety, enhance the economy, and protect our environment. Our primary purpose is to provide free and open data about the state of our oceans and Great Lakes to our users. These data are fundamental to understanding the health of our marine ecosystems, to monitor the climate signal as captured in oceanographic conditions, and to provide predictions about the future state of our oceans and coasts.
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Joplin is a note-taking app designed with strong security and privacy in mind. It features end-to-end encryption (E2EE), ensuring the notes remain protected during synchronization. Users can store notes locally or sync them via trusted services like Nextcloud, Dropbox, or self-hosted servers, retaining full data ownership.
Metaflow is a human-friendly Python library that makes it straightforward to develop, deploy, and operate various kinds of data-intensive applications, in particular those involving data science, ML, and AI. Metaflow was originally developed at Netflix to boost the productivity of data scientists who work on a wide variety of projects, from classical statistics to state-of-the-art deep learning.
The Metasploit Framework is both a penetration testing system and a development platform for creating security tools and exploits. The framework is used by network security professionals to perform penetration tests, system administrators to verify patch installations, product vendors to perform regression testing, and security researchers world-wide. The framework is written in the Ruby programming language and includes components written in C, many flavors of Assembly, Python, Powershell, PHP, and other languages.
