Mahmoud “Nabil” Mahmoud

Mahmoud Nabil 

Assistant Professor
Department of Electrical and Computer Engineering
North Carolina A & T University
1601 E. Market Street
Room 219 Martin Complex
Greensboro, NC 27411
T|336 285 2646

mnmahmoudATncatDOTedu

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About

Dr. Mahmoud received his Bachelor of Science (BS) and Master of Science (MS) degrees, with honors, in computer engineering from Cairo University, Egypt, in 2012 and 2016, respectively. He completed his PhD in electrical and computer engineering from Tennessee Tech University, Cookeville, Tennessee, in 2019. Currently, he holds the position of assistant professor at the Department of Electrical and Computer Engineering, North Carolina A & T State University. Dr. Mahmoud is an accomplished researcher and has authored and coauthored numerous publications in prestigious venues. His research work has been published in renowned journals such as IEEE Internet of Things, IEEE Transactions of Dependable and Secure Computing, IEEE Transactions on Human-Machine Systems, and IEEE Transactions of Mobile Computing. He has also contributed to leading conferences including the International Conference on Communication, International Conference on Pattern Recognition, and International Conference on Wireless Communication. With diverse research interests, Dr. Mahmoud's areas of expertise include security and privacy in unmanned aerial systems, smart grids, machine learning applications, vehicular Ad Hoc networks, and blockchain applications. He has received significant funding for his research projects from esteemed national agencies and organizations including the National Science Foundation (NSF), Department of Transportation (DOT), Air Force Research Laboratory (AFRL), NASA, Intel, Cisco, and Lockheed Martin.

Research Interests


Research
    My research mainly focuses on computer, communication and network security. Specific interests are:
    Security and privacy preservation in:-
    . Smart grid AMI networks
    . Machine learning for cybersecurity
    . Adversarial machine learning
    . Encrypted machine learning
    . Blockchain applications
    . Self-driven vehicle applications
    . Electric vehicle communications
    . Vehicular ad hoc networks
    . Wireless sensor networks
    . Trust and reputation systems


Educational Background


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