Research and Leadership

Team

Anthony Simonet

Postdoctoral Research Associate

Shouwei Chen

Research Assistant (PhD)

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J J Villalobos

Research Associate and Technical Lead

Paul Arias

Associate Research Scientist

Jim Housell

System Administrator

Aamir Jadoon

System Administrator

Wayne Chan

System Administrator

William Kish

Software Team Manager

Janeen Pisciotta

Application Developer

Mark Steiner

Application Developer

Great Inter-disciplinary Team

The team is  is supporting different activities related to cyber-infrastructure research and operation. It provides expertise in different areas such as system administration, cyber-security, enterprise-level storage infrastructure, data-center maintenance, software development, configuration, etc.

It also supports research efforts such as the co-design of big data system and future generation software-defined infrastructure and data systems targeting different disciplines, including medical imaging research and streaming-based frameworks for science use cases.

Current Selected Projects

• NSF Ocean Observatories Initiative (Cyber-Infrastructure)

  The NSF OOI is an integrated infrastructure project composed of science-driven platforms and sensor systems that measure physical, chemical, geological and biological properties and processes from the seafloor to the air-sea interface. The OOI network was designed to address critical science-driven questions that will lead to a better understanding and management of our oceans, enhancing our capabilities to address critical issues such as climate change, ecosystem variability, ocean acidification, and carbon cycling. OOI serves data from 57 stable platforms and 31 mobile assets, carrying 1227 instruments (~850 deployed), providing over 25,000 science data sets and over 100,000 scientific and engineering data products. The OOI has been built with an expectation of operation for 25 years.

  http://oceanobservatories.org

• Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data Intensive Science (VDC)

  The Virtual Data Collaboratory (NSF Data Infrastructure Building Blocks) is a federated data cyberinfrastructure that is designed to drive data-intensive, interdisciplinary and collaborative research, and enable data-driven science and engineering discoveries. VDC accomplishes this by providing seamless access to data and tools to researchers, educators, and entrepreneurs across a broad range of disciplines and scientific domains as well as institutional and geographic boundaries. VDC is federated and coordinated across three geographically distributed Rutgers University campuses in New Jersey and multiple campuses in Pennsylvania and New York. Central to the VDC vision are three infrastructural innovations, a regional science data science DMZ network that provides services to enable efficient and transparent access to data and computing capabilities, an expandable and scalable architecture for data-centric infrastructure federation, and a data services layer to support research workflows that utilize cutting-edge semantic web technologies, support interdisciplinary research, expand access, and increase the impact of data-science. VDC builds on and integrates existing data repositories, including NSF-funded repositories (e.g., OOI), and has the potential to leverage national ACI investments and interoperate with multiple data repositories.

  (Press note – Newswise)

• Next Generation Cyber-Infrastructure (NextGenCI)

• Green High Performance Computing (GreenHPC)

  The GreenHPC initiative at Rutgers is a research and educational initiative aiming at addressing several efforts in the intersection of energy efficiency, scalable computing and high performance computing. Key focus areas include (1) Energy efficiency of scientific data analysis pipelines at scale, (2) In-situ data analytics and co-processing at extreme scales and (3) Application-aware cross-layer power management for High Performance Computing systems.

  GreenHPC also acts as a forum for researchers and the educational community to exchange ideas and experiences on energy efficiency by disseminating research results, educational activities at different levels (PhD, MS, undergraduate – REU, K12) and organizing editorial and event activities.

  http://nsfcac.rutgers.edu/GreenHPC/

• Sustainable Ultra Scale compuTing, dAta and energy Management (SUSTAM)

  INRIA-Rutgers Associate Team

  The SUSTAM associate team focuses on the joint design of a multi-criteria orchestration framework dealing with resources, data and energy management in an sustainable way. The SUSTAM associated team enables a long-term collaboration between the Inria Avalon team and the Rutgers Discovery Informatics Institute (RDI2).

  http://avalon.ens-lyon.fr/sustam/

• Medical Image Research and Image Miner Portal

  Collaboration with the Cancer Institute of New Jersey

  The overarching goal of this project is to develop mechanisms and techniques based on novel software and technologies to accelerate medical image processing algorithms and enable their execution at scale on high performance and distributed computing systems. In collaboration with the Center for Biomedical Imaging & Informatics at Rutgers Robert Wood Johnson Medical School and the Cancer Institute of New Jersey.