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Dr. Nashwa Abdelbaki joined NU in September 2008. Her research interest mainly focuses on Multimedia networking, cloud computing, and cybersecurity. Dr. Abdelbaki published over 60 scientific refereed conference and journal papers and book chapters. She has also served as program committee member in several international scientific journals and conferences.
She led the NU MSc Information Security Program since its inauguration in 2008 to 2021. During the period 2018 to 2020, she was, additionally, the Director of the ITCS Academic Bachelor and Master Programs.
Supported by her German DAAD Scholarship, Dr. Abdelbaki received her Doctor of Engineering (Dr.-Ing.) degree with grade 1.0, in the field of multimedia networking from Faculty of Engineering, Ulm University, Germany. She received her M.Sc. degree from Faculty of Engineering, Ain Shams University in Cairo, and B.Sc. from Faculty of Engineering, Cairo University, Egypt.
Nashwa Abdelbaki is an IT expert with over 35 years of experience at the national as well as regional and international levels. She is an early Internet pioneer, bringing Internet connectivity to Egypt in the late 80s and early 1990s. She helped build Egypt's national networks both locally and regionally and took technical lead of the Egyptian Universities Network (EUN) and the central registry of the Egyptian Top-Level Domain .EG. She is an active member of organizing several international IT conferences and networking workshops. She was one of the four members submitted the first proposal to establish AfriNIC in 1997. She served as an ICANN ccNSO Council member (2007-2010) and was a member of the African Top-Level Domain (AFTLD) Executive Committee.
Efficient Quering Blockchain Applications
Industrial blockchain applications have recently risen to the top of the scientific and industrial communities' priority lists. This is due to their practical capabilities in resolving many issues in various industrial domains. Visibility and traceability to a large volume of trusted data benefit members of a consortium of industrial companies and associated organizations. Data scientists who
Software-Defined Networks Towards Big Data: A Survey
Both Big Data and Software-Defined Network have a significant impact in both academic and practical aspects. These two areas have been addressed separately, but both did not contribute to the same subset area of contribution. However, Big Data can greatly facilitate, improve, and have a great impact on Software Defined Network, and vice versa. In this paper, we show how SDN helps Big Data solve
A Comprehensive Survey on Vehicular Ad Hoc Networks (VANET)
Vehicular Ad Hoc Networks is an evolving research field that has the potential to address safety on roads. This tends to attract car manufacturers and suppliers to develop in evolving the industry vision. VANET demonstrates a different kind of communications targeting the main objective, which is safety besides entertainment services. This is achieved using the Internet through the infrastructure
5G and Satellite Network Convergence: Survey for Opportunities, Challenges and Enabler Technologies
Development of 5G system as a global telecommunication infrastructure is accelerating to realize the concept of a unified network infrastructure incorporating all access technologies. The potential of Low Earth Orbit (LEO) constellation systems has emerged to support wide range of services. This could help to achieve 5G key service requirements for enhanced Mobile Broadband (eMBB), Massive Machine
AVB/TSN Protocols in Automotive Networking
In the last decade, Ethernet networks that require real time constraints are massively increased. Switched Ethernet is reshaping in-vehicle communications. To meet real-time requirements for diverse data types in automotive communications, Quality-of-Service protocols that go beyond the mere use of priorities are required. In Vehicle networks requirements are evolving and need better Quality-of
NnDPI: A Novel Deep Packet Inspection Technique Using Word Embedding, Convolutional and Recurrent Neural Networks
Traffic Characterization, Application Identification, Per Application Classification, and VPN/Non-VPN Traffic Characterization have been some of the most notable research topics over the past few years. Deep Packet Inspection (DPI) promises an increase in Quality of Service (QoS) for Internet Service Providers (ISPs), simplifies network management and plays a vital role in content censoring. DPI
Acoustic Attacks in IOT Era: Risks and Mitigations
Usage of Internet of Things (IoT) devices became ubiquitous. IoT is expected to be of more spread, as new ideas emerge on the level of devices and applications. Such--Things-are smart in a manner that they are in connection with each other. Things form some sort of a collaborative network, where they communicate and share data with each other; as well, they are possibly remotely controlled. One
Quantum Networking, where it is headed
It is an undeniable fact that computer science has gone a long way, from the invention of transistor-based electronic computers to the rise of artificial intelligence and quantum computing. Now that we are looking at the quantum horizon, the last piece that would complete the quantum revolution is quantum networking. © 2020 IEEE.
NONYM!ZER: Mitigation Framework for Browser Fingerprinting
Not only recent compelled cookies regulations have radically restrained their threats but also increased people awareness has played a fundamental part. This has placed huge pressure on enterprises to find alternatives to bridge this gap and satisfy business demands. Since then fingerprinting has gained enormous popularity. In this paper, we introduce 'nonym!zer' as a mitigation framework for
- Enhancing School Education and Student Learning Gamification
- Virtual Labs
- Humanoid Robots
- Information Security
- Cyber Security
- Cloud Computing
- Augmented Reality