An Intelligent Management System for Large Scale Cloud Data Centers
2016
$25,000
by NASA & NMSGCRecent Research Interest
Collecting real field data to build synchronous smart Sensor Network for forest fire detection.
Collecting field data to build synchronous smart Sensor Network for forest fire detection.
Collecting field data to build synchronous smart Sensor Network for forest fire detection.
Collecting field data to build synchronous smart Sensor Network for forest fire detection.
Professor Soliman research expands over many areas. His current primary focus is computer Networks security, Neural Networks and Sensor Networks. He has several publications on Networking Communication Protocols, Mobile networks security, Ad hoc networks, Wireless sensor networks. Currently he is actively involved in computer-servers and cell-phone security, utilizing his novel encryption algorithm (better than the known AES, much faster and securing against insider attcks), developing his 5 security patents. In the area of machine learning, he is working in the fields of Artificial neural networks modeling for classifications, association, and generalization using LVQ, Bp, BAM, Hopfield AM, ART, and KSOFM. Applications of NN modeling are the building of smart Big-Data & cloud computing management, asynchronous event detection sensor networks, and image processing.
Research Labs
Sensor Lab
This research lab is used to
develop "smart" and "secure" wireless sensor network to detect asynchronous events such as forest-
fire, volcanic eruption, border intrusion, seismic activity, etc., with the help of the neural networks security sibling labs.
Security Lab
The major task of
this lab is to secure cyber and cellphone communication. Our novel encryption algorithm and security
protocol(to be compared to the known CCMP)which is more advance than even existing government standard e.g. AES, CCMP. Most
recent activity is the development of cross Atlantic security communication tested successfully, with our protocol; and the development of secure
cellphone Apps and progressing API and plugin. The work is managed and supported by NMT Research Foundation.
Neural Networks (NNs) Lab
The Neural networks lab is used to model diffrent NNs intelligent algorithms
(training and operating)to add intelligence (smartness) which is much needed in many vital scientific application such cloud computing management, big data
mining, sensor networks applications and any scientific application that requires intelligence. Hence, the lab can be easly used as interdisciplinary reseach for other departments to carry in softcomuting applications. In addition,in
this lab he is implementating
his image compression patent.
Research Grants and
Contracts
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On-Demand, Distributed, In-Memory Computing for Big Data Processing2015 $25,000 by NASA & NMSGC |
Volunteer Cloud Federation to Enable Data- and Compute-Intensive Scientific Applications2012-2013 $25,000 by NASA & NMSGC |
Experimental Network of Sensors Lab for advancing research in sensor-data collection, integration, management, and analysis2007-2010 $160,000 by National Science Foundation, Computing Research Infrastructure |
Equipment for a Computer Networks Laboratory1992-1995 $48,674 by National Science Foundation, Instrumentation and Laboratory Improvement Program
with Dr. George A. Cunningham, III
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A Task-Grain Very High Level Language for Data-Driven Multiprocessing system1991-1993 $60,000 by Sandia National Laboratories |