Involved in the customization of CDCS instances and contributor of the CDCS QRCode App to improve records search and physical labeling of artifact holding details in records.

Portal gathering all the federal institution open source contributions.Moreover, produces the code.json destined to https://code.gov effort in identifyingVisit the platform here: https://code.nistgov

Bitbucket, Github, Gitlab and SourceForge have transformed the process of collaboration in computational science, greatly increasing the pace of open-source research code development, dissemination and adoption. These web services significantly enhance the utility of source code version control (SVC) tools such as Git, Mercurial and many others. Today, in-silico experimental scientists require a broader range of tracking tools than just the current SVC tools that are commonly used. The process… Show more Bitbucket, Github, Gitlab and SourceForge have transformed the process of collaboration in computational science, greatly increasing the pace of open-source research code development, dissemination and adoption. These web services significantly enhance the utility of source code version control (SVC) tools such as Git, Mercurial and many others. Today, in-silico experimental scientists require a broader range of tracking tools than just the current SVC tools that are commonly used. The process of reproducing and replicating (R&R) research can fail due to a variety of reasons including hardware incompatibilities, OS differences, library discrepancies, data corruption or parameter choices. Although, SVC does address a number of R&R issues, it is not designed to address the failure modes listed above. Currently, there are many efforts focused on developing tools (Sumatra, ReproZip, CDE, e.g.) to help scientists adequately address the broader tracking issues surrounding R&R research beyond those addressed by version control. We refer to these tools here as computation version control tools (CVC). Unfortunately, most of these tools lack an integrated web service and, thus, the generated computational records cannot be disseminated in the same manner as, for example, a Git repository is shared via GitHub. The present work addresses CVC tools by reviewing three common CVC's, identifying their limitations and then proposing the use of a web platform , the Cloud of Reproducible Records (CoRR) to improve CVC tools usage. Show less

My work involved contributing on the OOF (Object Oriented for Finite elements analysis) project. OOF is a software for materials scientists and physicists. It allows the scientists to run virtual experimentation by setting real world conditions. Meaning solving some elasticity problems, viewing gravity impact, charges density structure and more. My contributions were mostly on the early 3D version of OOF named OOF3D.

Mr. Congo is doing research on the reproducibility and provenance capture of scientific findings as a contractor at NIST. His main contributions are on CoRR which is a Cloud Infrastructure for storing, disseminating, federating and collaborating on reproducible records from scientific investigations. CoRR is micro-services platform that has a cloud service, an API service, a cloud storage handler, a mongoDB database for meta-data and modern material design web front-end. CoRR offers two ways of… Show more Mr. Congo is doing research on the reproducibility and provenance capture of scientific findings as a contractor at NIST. His main contributions are on CoRR which is a Cloud Infrastructure for storing, disseminating, federating and collaborating on reproducible records from scientific investigations. CoRR is micro-services platform that has a cloud service, an API service, a cloud storage handler, a mongoDB database for meta-data and modern material design web front-end. CoRR offers two ways of access. A web access through which scientists will be able to manage their projects, records and interact which each other. An API access is also provided for simulation management tools, experiment management tools and also for developers of third party applications (evaluations, bench-marking, reproducibility assessment, machine learning).Mr. Congo is an expert in computational reproducibility, data provenance, software engineering and cloud computing. These skills are beneficial to NIST's effort to develop a materials innovation infrastructure and improving research reproducibility both experimental and scientific. Mr. Congo's skills benefit a wide range of software and data resources being developed for the NIST Material Genome Initiative. Lately, Mr. Congo's added focus on Ephemeral Backends leveraging temporarily executed backend from solutions such as Github Actions, Gitlab pipelines, Serverless or Functions computing. Show less

My Ph.D. subject applications focus on fulfilling the need to easily and accurately reproduce scientific simulations as a part of the developing materials innovation infrastructure supporting the Materials Genome Initiative which is essential. Part of these applications will forge a set of tools to facilitate the ability for researchers to share their simulations. Some of the key components of a simulation that need to be shared to ensure reproducibility are the source code, input variables and… Show more My Ph.D. subject applications focus on fulfilling the need to easily and accurately reproduce scientific simulations as a part of the developing materials innovation infrastructure supporting the Materials Genome Initiative which is essential. Part of these applications will forge a set of tools to facilitate the ability for researchers to share their simulations. Some of the key components of a simulation that need to be shared to ensure reproducibility are the source code, input variables and files, the hosting system, dependencies (including the needed libraries and tools) and the outputs. Show less

I had an internship experience in Human Nature Interactions with Ontologies. It involved the use of a prototype OWL ontology based modeling system developed by Dr. Gary Polhill. My main contribution were in finding bugs in the prototype software and provide ways of fixing them.

This project was in coordination with the French car manufacturer Renault. Its aim was to build a connected services infrastructure for new Renault cars. A byproduct of this project was the first Renault connected car "The Clio 4". The connected services are delivered to the driver through a 18" tablet named R-Link. My contributions were in testing the services on the car's tablet and on the servers too. I got involved into the development of some Restful services on Linux servers and android… Show more This project was in coordination with the French car manufacturer Renault. Its aim was to build a connected services infrastructure for new Renault cars. A byproduct of this project was the first Renault connected car "The Clio 4". The connected services are delivered to the driver through a 18" tablet named R-Link. My contributions were in testing the services on the car's tablet and on the servers too. I got involved into the development of some Restful services on Linux servers and android devices running the TomTom OS. This was an inter-country project done in collaboration between ATOS Origin in France and Austria. Show less