Baraq Ghaleb
baraq ghaleb

Dr Baraq Ghaleb

Associate Professor

 0131 455 2538

  B.Ghaleb@napier.ac.uk

  

Biography

Baraq Ghaleb (PhD, MSc, BSc, FHEA, IEEE) is an associate professor within the Centre for Distributed Computing, Networks and Security at Edinburgh Napier University. He is currently involved in delivering and leading several modules for the Undergraduate (UG) and Postgraduate (PG) levels within the Cyber Security and Systems Engineering subject group. Dr. Ghaleb was awarded his PhD from Edinburgh Napier University in June 2019. He is an experienced researcher with more than 8 years of cutting-edge research around Cyber Security, Internet of Things, Blockchain and Machine Learning. His research interests revolve around investigating the security vulnerabilities of the Internet of Things standards and utilising the cutting-edge advancements in addressing such vulnerabilities. Dr. Ghaleb has been involved in several externally funded research projects as a Principal Investigator and Co-Investigator and with a total budget of around £ 435,000. He has co-authored and published more than 35 research papers, in prestigious peer-reviewed outlets. In addition, Dr. Ghaleb has been involved in supervising and mentoring research Master and PhD students since he accomplished his PhD thesis in 2019.

School

Research Groups

Events

Esteem

Conference Organising Activity

  • Track Chair

 

External Examining/Validations

  • PhD Examiner

 

Fellowships and Awards

  • Best paper award International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021)
  • Edinburgh Napier PhD Scholarship
  • MSc Studentship Award
  • • BSc Studentship Award, Higher Education and Scientific Research Ministry, Yemen (4 years)

 

Membership of Professional Body

  • Fellowship-Highr Academy

 

Reviewing

  • Reviewer for Journals and Conferences

 

Spin-outs and Licences

  • Patent

 

Filter by

Date


29 results

A new enhanced RPL based routing for Internet of Things

Conference Proceeding
Ghaleb, B., Al-Dubai, A., Ekonomou, E., & Wadhaj, I. (2017)
A new enhanced RPL based routing for Internet of Things. In 2017 IEEE International Conference on Communications. , (1-6). https://doi.org/10.1109/ICCW.2017.7962723
The IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) has been recently standardized for routing in the constrained Internet of Things networks. Unfortunately, the ...

STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location

Conference Proceeding
Al-Molegi, A., Jabreel, M., & Ghaleb, B. (2017)
STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci.2016.7849919
This paper proposes a novel model called Space Time Features-based Recurrent Neural Network (STF-RNN) for predicting people next movement based on mobility patterns obtained f...

Load Balancing Objective Function in RPL draft-qasem-roll-rpl-load-balancing-00

Working Paper
Qasem, M., Al-Dubai, A., Romdhani, I., & Ghaleb, B. Load Balancing Objective Function in RPL draft-qasem-roll-rpl-load-balancing-00

)
Qasem, M., Al-Dubai, A., Romdhani, I., & Ghaleb, B. Load Balancing Objective Function in RPL draft-qasem-roll-rpl-load-balancing-00
This document proposes an extended Objective Function(OF) that balances the number of children nodes of the parent nodes to avoid the overloading problem and ensure node lifet...

A new efficient objective function for routing in Internet of Things paradigm

Conference Proceeding
Qasem, M., Al-Dubai, A., Romdhani, I., Ghaleb, B., & Gharibi, W. (2016)
A new efficient objective function for routing in Internet of Things paradigm. In 2016 IEEE Conference on Standards for Communications and Networking (CSCN). https://doi.org/10.1109/cscn.2016.7785168
Low Power and Lossy Networks (LLNs) have a crucial role in the Internet of Things (IoT) paradigm. For the IPv6 Routing Protocol for LLNs (RPL), two objective functions (OF) ha...

A new dynamic trickle algorithm for low power and lossy networks

Conference Proceeding
Yassein, M. B., Aljawarneh, S., Masa'deh, E., Ghaleb, B., & Masa'deh, R. (2016)
A new dynamic trickle algorithm for low power and lossy networks. In 2016 International Conference on Engineering & MIS (ICEMIS). https://doi.org/10.1109/icemis.2016.7745314
The main component of Routing Protocol for Low Power and Lossy Networks (RPL) is the trickle timer algorithm. Such algorithm is used to control the flow of messages through th...

Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things

Conference Proceeding
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Paechter, B., & Qasem, M. (2016)
Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things. In Wireless Communications and Networking Conference (WCNC), 2016 IEEE (1-6). https://doi.org/10.1109/WCNC.2016.7564654
Constrained Low-power and Lossy networks (LLNs) represent the building block for the ever-growing Internet of Things (IoT) that deploy the Routing Protocol for Low Power and L...

Cooja Simulator Manual

Report
Thomson, C., Romdhani, I., Al-Dubai, A., Qasem, M., Ghaleb, B., & Wadhaj, I. (2016)
Cooja Simulator Manual. Edinburgh: Edinburgh Napier University
While Cooja has been proven to be an ideal tool for the simulation of RPL in WSNs, there are challenges involved in its use, particularly in regard to a lack of documentation....

E-Trickle: Enhanced Trickle Algorithm for Low-Power and Lossy Networks

Conference Proceeding
Ghaleb, B., Al-Dubai, A., & Ekonomou, E. (2015)
E-Trickle: Enhanced Trickle Algorithm for Low-Power and Lossy Networks. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM)https://doi.org/10.1109/cit/iucc/dasc/picom.2015.168
Routing Protocol for Low Power and Lossy networks (RPL) is the de-facto standard for routing in resource-constrained low-power and lossy networks (LLNs) which represent the bu...

A novel situation specific network security for Wireless Sensor Networks

Journal Article
Al-Rousan, M., Bani Yassein, M., Al-Dubai, A., Ghaleb, B., & Mahmoud, I. (2015)
A novel situation specific network security for Wireless Sensor Networks. Sensors & transducers, 186(3), 33-42
Researchers have come up with many high level security protocols and key management algorithms that can be applied for different types of networks. The main characteristics of...

Current Post Grad projects

Previous Post Grad projects