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Search Publications by

Abdella Battou (Fed)

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Displaying 1 - 21 of 21

Design and Experimentation Guidelines for DER's Emulation Testbed

April 23, 2022
Hasnae Bilil, Anfal Hathah, Abdella Battou
Due to the increasing integration of distributed energy resources (DERs) into the national grid, research is needed to understand high DER penetration in relation to grid reliability and stability. Emulation-based research is a viable option to consider

Resource optimization of quantum-enabled channels using novel modulation schemes

January 4, 2022
Jabir Marakkarakath Vadakkepurayil, FNU Nur Fajar Rizqi Annafianto, Ivan Burenkov, Abdella Battou, Sergey Polyakov
We introduce new practical modulation schemes inspired by the quantum measurement. We experimentally show that our quantum-enabled communication system optimizes the combined resource efficiency (CRE) beyond the classical, shot-noise-limited CRE.

Performance Evaluation of the NDN Data Plane Using Statistical Model Checking

July 19, 2021
Siham Khoussi, Lotfi Benmohamed, Abdella Battou, Junxiao Shi, James J. Filliben, Saddek Bensalem, Ayoub Nouri
Named Data Networking (NDN) is an emerging technology for a future Internet architecture that addresses weaknesses of the Internet Protocol (IP). Since Internet users and applications have demonstrated an ever-increasing need for high speed packet

Neural Networks for Classifying Probability Distributions

April 19, 2021
Siham Khoussi, N. Alan Heckert, Abdella Battou, Saddek Bensalem
Probability distribution fitting of an unknown stochastic process is an important preliminary step for any further analysis in science or engineering. However, it requires some background in statistics and prior considerations of the process or phenomenon

Optimal Cybersecurity Investments for SIS Model

February 15, 2021
Van Sy Mai, Richard La, Abdella Battou
We study the problem of minimizing the (time) average security costs in large systems comprising many interdependent subsystems, where the state evolution is captured by a susceptible-infected-susceptible (SIS) model. The security costs reflect security

Experimental demonstration of the near-quantum optimal receiver

November 19, 2020
Jabir Marakkarakath Vadakkepurayil, Ivan Burenkov, FNU Nur Fajar Rizqi Annafianto, Abdella Battou, Sergey Polyakov
We implement the cyclic quantum receiver based on the theoretical proposal of Roy Bondurant and demonstrate experimentally below the shot-noise limit (SNL) discrimination of quadrature phase-shift keying signals (PSK). We also experimentally test the

FPGA Implementation of a Low Latency and High SFDR Direct Digital Synthesizer for Resource-Efficient Quantum-Enhanced Communication

October 15, 2020
FNU Nur Fajar Rizqi Annafianto, Jabir Marakkarakath Vadakkepurayil, Ivan Burenkov, Hasan Urgurdag, Abdella Battou, Sergey Polyakov
In most modulation schemes for a telecommunication system, a fast and efficient sinusoidal signal generator is needed. Here we report on an FPGA implementation of a versatile CORDIC Based Direct Digital Synthesizer (DDS). Most commercial lightwave

Time-Resolving Quantum Measurement Enables Energy-Efficient, Large-Alphabet Communication

September 21, 2020
Ivan Burenkov, Jabir Marakkarakath Vadakkepurayil, Abdella Battou, Sergey Polyakov
Information exchange requires a measurement of physical states. Because quantum measurements enable accuracy beyond the classical shot-noise limit, they are successfully used to develop measurement tools and applications. In particular, quantum-measurement

Summary: Workshop on Machine Learning for Optical Communication Systems

March 26, 2020
Joshua A. Gordon, Abdella Battou, Michael P. Majurski, Dan Kilper, Uiara Celine, Massimo Tonatore, Joao Pedro, Jesse Simsarian, Jim Westdorp, Darko Zibar
Optical communication systems are expected to find use in new applications that require more intelligent and automated functionality. Optical networks are needed to address the high speeds and low latency of 5G wireless networks. The analog nature of

Workshop on Machine Learning for Optical Communication Systems: a summary

March 8, 2020
Joshua A. Gordon, Abdella Battou, Dan Kilper
A summary and overview of a public workshop on machine learning for optical Communication systems held on August 2nd 2019, by the Communications Technology Laboratory at the National Institute of Standards and Technology in Boulder, CO.

A Testbed for Quantum Communication and Quantum Networks

May 13, 2019
Lijun Ma, Abdella Battou, Xiao Tang, Oliver T. Slattery
The development of Quantum Networks is underway with significant acceleration in in recent years. Meanwhile. quantum scale devices and components such as single photon sources, detectors, memories and interfaces are ever readier to leave the laboratory

Distributed Algorithm for Suppressing Epidemic Spread in Networks

June 4, 2018
Van Sy Mai, Abdella Battou, Kevin L. Mills
This paper considers problems related to suppressing epidemic spread over networks given limited curing resources. The spreading dynamic is captured by a susceptible-infected- susceptible model. The epidemic threshold and recovery speed are determined by

Cloud Security Automation Framework

October 12, 2017
Cihan Tunc, Salim hariri, Mheni Merzouki, Charif Mahmoudi, Frederic J. de Vaulx, Jaafar Chbili, Robert B. Bohn, Abdella Battou
Cloud services have gained tremendous attention as a utility paradigm and have been deployed extensively across a wide range of fields. However, Cloud security is not catching up to the fast adoption of its services and remains one of the biggest

A Network Measurement Framework for Named Data Networks

September 26, 2017
Davide Pesavento, Omar Ilias El Mimouni, Eric E. Newberry, Lotfi Benmohamed, Abdella Battou
In this poster, we propose a network measurement framework for NDN. We define the goals of network measurement and discuss how these goals can be achieved by identifying the necessary measurement operations that must be built on top of NDN's primitives

NDN-Trace: A Path Tracing Utility for Named Data Networking

September 26, 2017
Siham Khoussi, Davide Pesavento, Lotfi Benmohamed, Abdella Battou
In this paper we propose NDN-Trace, a path tracing utility to determine the characteristics of the available paths to reach a given name prefix in NDN-based networks. While the traceroute tool in IP networks is based on an iterative process, with each