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Nael B Abu-Ghazaleh

age ~54

from Riverside, CA

Nael Abu-Ghazaleh Phones & Addresses

  • Riverside, CA
  • 2612 Princeton Dr, Vestal, NY 13850 • 607-729-7252

Work

  • Company:
    Binghamton university
    Aug 1998
  • Position:
    Associate professor

Education

  • Degree:
    Corporate Innovation and Enterpreneurship Program
  • School / High School:
    Carnegie Mellon University - Tepper School of Business
    2008 to 2009
  • Specialities:
    Business

Skills

Computer Science • Engineering • Computer Engineering • Cse

Interests

Economic Empowerment • Civil Rights and Social Action • Politics • Education • Environment • Science and Technology • Human Rights • Health

Industries

Research

Us Patents

  • Automatic Clustering For Self-Organizing Grids

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  • US Patent:
    8380846, Feb 19, 2013
  • Filed:
    Sep 23, 2011
  • Appl. No.:
    13/243125
  • Inventors:
    Nael Abu-Ghazaleh - Vestal NY, US
    Weishuai Yang - Ozone Park NY, US
    Michael Lewis - Vestal NY, US
  • Assignee:
    The Research Foundation of State University of New York - Binghamton NY
  • International Classification:
    G06F 15/173
  • US Classification:
    709224, 709226, 706 13, 707737
  • Abstract:
    A method for clustering of nodes for a task, and cluster so provided comprising an automatically partitioned a set of nodes having a branched hierarchy of subsets based at least on a relative distance according to at least one node characteristic distance metric, each subset having a communication node, each node within the subset being adapted to communicate control information with the communication node, and the communication nodes of respective subnets which are hierarchically linked, being configured to communicate control information with each other; and a set of output preferred nodes for allocation of portions of a task, wherein the output set of preferred nodes is dependent on both the hierarchy and the task.
  • Automatic Clustering For Self-Organizing Grids

    view source
  • US Patent:
    20090083390, Mar 26, 2009
  • Filed:
    Sep 23, 2008
  • Appl. No.:
    12/236396
  • Inventors:
    Nael Abu-Ghazaleh - Vestal NY, US
    Weishuai Yang - Ozone Park NY, US
    Michael Lewis - Vestal NY, US
  • Assignee:
    THE RESEARCH FOUNDATION OF STATE UNIVERSITY OF NEW YORK - BINGHAMTON NY
  • International Classification:
    G06F 15/16
  • US Classification:
    709209
  • Abstract:
    Computational grids have traditionally not scaled effectively due to administrative hurdles to resource and user participation. Most production grids are essentially multi-site supercomputer centers, rather than truly open and heterogeneous sets of resources that can join and leave dynamically, and that can provide support for an equally dynamic set of users. Large-scale grids containing individual resources with more autonomy about when and how they join and leave will require self-organizing grid middleware services that do not require centralized administrative control. Dynamic discovery of high-performance variable-size clusters of grid nodes provides an effective solution for implementation of grids. A brute force approach to the problem of identifying these “ad-hoc clusters” would require excessive overhead in terms of both message exchange and computation. Therefore, a scalable solution is provided that uses a delay-based overlay structure to organize nodes based on their proximity to one another, using a small number of delay experiments. This overlay can then be used to provide a variable-size set of promising candidate nodes than can then be used as a cluster, or tested further to improve the selection. Simulation results show that this approach results in effective clustering with acceptable overhead.
  • Lightweight Network Authentication For Resource Constrained Devices Via Mergeable Stateful Signatures

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  • US Patent:
    20230034512, Feb 2, 2023
  • Filed:
    Jul 1, 2022
  • Appl. No.:
    17/856849
  • Inventors:
    Abdulrahman Bin Rabiah - Irvine CA, US
    Yugarshi Shashwat - Riverside CA, US
    Silas Richelson - Riverside CA, US
    Nael Abu-Ghazaleh - Riverside CA, US
  • Assignee:
    The Regents of the University of California - Oakland CA
  • International Classification:
    H04L 9/40
    H04L 9/32
    H04L 9/08
  • Abstract:
    Signature-based authentication is a core cryptographic primitive essential for most secure networking protocols. A new signature scheme, MSS, allows a client to efficiently authenticate herself to a server. The new scheme is modeled in an offline/online model where client online time is premium. The offline component derives basis signatures that are then composed based on the data being signed to provide signatures efficiently and securely during run-time. MSS requires the server to maintain state and is suitable for applications where a device has long-term associations with the server. MSS allows direct comparison to hash chains-based authentication schemes used in similar settings, and is relevant to resource-constrained devices, e.g., IoT. MSS instantiations are derived for two cryptographic families, assuming the hardness of RSA and decisional Diffie-Hellman (DDH) respectively. Then used is the new scheme to design an efficient time-based one-time password (TOTP) protocol.

Resumes

Nael Abu-Ghazaleh Photo 1

Professor

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Location:
Riverside, CA
Industry:
Research
Work:
Binghamton University since Aug 1998
Associate Professor

Carnegie Mellon University, Qatar Aug 2008 - Aug 2011
Visiting Associate Professor

University of Cincinnati Dec 1996 - Jun 1998
Post-Doctoral Research Associate
Education:
Carnegie Mellon University - Tepper School of Business 2008 - 2009
Corporate Innovation and Enterpreneurship Program, Business
University of Cincinnati 1994 - 1997
PhD, Computer Engineering
University of Cincinnati 1990 - 1994
MS, Computer Engineering
Al-Jami'ah Al-Urdunia 1986 - 1990
BSc, Electrical Engineering
Skills:
Computer Science
Engineering
Computer Engineering
Cse
Interests:
Economic Empowerment
Civil Rights and Social Action
Politics
Education
Environment
Science and Technology
Human Rights
Health

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