Moustafa Abdelbaky

• PhD
• PostDoc Position at University of California, Berkeley

Executive Summary The aviation industry is evolving at an unprecedented pace, necessitating the development of efficient, secure, and interoperable systems to manage increasingly complex air traffic. Moreover, the demand for High-Altitude Operations (HAO) is increasing. Furthermore, air traffic control services are limited in HAO environments. HAO...

Open Source code distribution link

View Video Presentation: https://doi.org/10.2514/6.2021-2387.vid Advanced Air Mobility is a new aviation vision, where unmanned aerial systems will transport passengers and cargo across urban and rural areas. Critical to the realization of this vision is the development of a digital marketplace, which allows service providers and consumers operatin...

Blockchains are a topic of immense interest in academia and industry, but their true nature is often obscured by marketing and hype. In this tutorial, we explain the fundamental elements of blockchains. We discuss their ability to achieve availability, consistency, and data integrity as well as their inherent limitations. Using Ethereum as a case s...

Access to large amounts of real-world data has long been a barrier to the development and evaluation of analytics applications for the built environment. Open datasets exist, but they are limited in their span (how much data is available) and context (what kind of data is available and how it is described). Evaluation of such analytics is also limi...

The landscape for cloud services and cyberinfrastructure offerings has increased drastically over the past few years. Initially, users moved their applications to the cloud to take advantage of a pay-per-usage model and on-demand access. However, as more cloud providers joined the market, users shifted their goals for using cloud computing from cos...

Most deployed authorization systems rely on a central trusted service whose compromise can lead to the breach of millions of user accounts and permissions. We present WAVE, an authorization framework offering decentralized trust: no central services can modify or see permissions and any participant can delegate a portion of their permissions autono...

Access to large amounts of real-world data has long been a barrier to the development and evaluation of analytics applications for the built environment. Open data sets exist, but they are limited in their span (how much data is available) and context (what kind of data is available and how it is described). Evaluation of such analytics is also lim...

Large scientific facilities provide researchers with instrumentation, data, and data products that can accelerate scientific discovery. However, increasing data volumes coupled with limited local computational power prevents researchers from taking full advantage of what these facilities can offer. Many researchers looked into using commercial and...

Large scale observatories are shared-use resources that provide open access to data from geographically distributed sensors and instruments. This data has the potential to accelerate scientific discovery. However, seamlessly integrating the data into scientific workflows remains a challenge. In this paper, we summarize our ongoing work in supportin...

Service-based access models coupled with recent advances in application deployment technologies are enabling opportunities for realizing highly customized software-defined environments that can achieve new levels of efficiencies and can support emerging dynamic and data-driven applications. However, achieving this vision requires new models that ca...

As more and more public and private Cloud resources are becoming available, it is common for a user to have access to multiple Cloud resources at the same time. Cloud federation dynamically aggregates multiple Cloud resources into a federated one. This paper explores how to build and run scientific workflows on top of a federated Cloud by integrati...

Federated computing has been shown to be an effective model for harnessing the capabilities and capacities of geographically- distributed resources in order to solve large science and en- gineering problems. However, traditional High Performance Computing (HPC) based federation models can be restrictive as they present users with a pre-defined set...

Emerging applications, from big science to the Internet of Things, increasingly involve dynamic and data-driven end-to-end workflows with large and often heterogeneous requirements. These applications require platforms that dynamically and flexibly combine resources across systems and data centers--for example, to aggregate capacity or capabilities...

Scientific applications are moving towards dynamic and data-driven workflows with changing resource requirements. Oftentimes, these workflows combine dynamically changing resource requirements and very large computational and throughput demands. Federated computing has been explored in various contexts and has been demonstrated to be an attractive...

Clouds are rapidly joining high-performance computing (HPC) systems, clusters, and grids as viable platforms for scientific exploration and discovery. As a result, understanding application formulations and usage modes that are meaningful in such a hybrid infrastructure, and how application workflows can effectively utilize it, is critical. Here, t...

With the right software infrastructure, clouds can provide scientists with "as a service" access to high-performance computing resources. An award-winning prototype framework transforms the Blue Gene/P system into an elastic cloud to run a representative HPC application.

MapReduce-Hadoop has emerged as an effective framework for large-scale data analytics, providing support for executing jobs and storing data in a parallel and distributed manner. MapReduce has been shown to perform very well on large datacenters running applications where the data can be effectively divided into homogeneous chunks running across ho...

The convergence of game technology, the Internet, and rehabilitation science forms the second-generation virtual rehabilitation framework. This paper presents the first pilot study designed to look at the feasibility of at-home use of gaming technology adapted to address hand impairments in adolescents with hemiplegia due to perinatal stroke or int...

Golomb MR, McDonald BC, Warden SJ, Yonkman J, Saykin AJ, Shirley B, Huber M, Rabin B, AbdelBaky M, Nwosu ME, Barkat-Masih M, Burdea GC. In-home virtual reality videogame telerehabilitation in adolescents with hemiplegic cerebral palsy. To investigate whether in-home remotely monitored virtual reality videogame-based telerehabilitation in adolescent...

Indiana University School of Medicine and the Rutgers Tele-rehabilitation Institute have collaborated for over a year on a clinical pilot study of in-home hand telerehabiltation. Virtual reality videogames were used to train three adolescents with hemiplegic cerebral palsy. Training duration varied between 6 and 11 months. The investigators summari...

The convergence of game technology (software and hardware), the Internet, and rehabilitation science forms the second-generation virtual rehabilitation framework. This reduced-cost and patient/therapist familiarity facilitate adoption in clinical practice. This paper presents a PlayStation 3-based hand physical rehabilitation system for children wi...

This paper describes CometPortal, a pervasive portal for accessing cloud computing services provided by CometCloud. CometCloud supports policy-driven, robust auto-nomic cloud bridging and autonomic cloudbursts. CometPortal provides an interface for monitoring and controlling applica-tion deployment using CometCloud, specifying and modifying policie...