Dr Rakan Aldmour

Senior Lecturer

School of Digital, Technologies and Arts

Rakan is a Senior Lecturer in the School of Digital, Technologies and Arts and Course Leader for MSc Business Computing. He supervises PhD and MSc students, and he teaches undergraduate and postgraduate courses in digital technologies, such as Enterprise Systems, Managing Emerging Technologies, Digital Technologies and Research methods.

His research interests are in Mobile Cloud Computing, Information Systems, and ‘Internet of Things’ (IoT) systems, and Industrial IoT. He has been involved in a variety of different projects and research, including research in association with the PETRAS National Centre of Excellence for IoT Systems Cybersecurity. This centre has been established to ensure that technological advances in the Internet of Things are developed and applied in consumer and business contexts, safely and securely.

As part of his role in PETRAS project, he researched into the  IoT and the use of Cyber Security risk assessment models to develop a hybrid model for SMEs in which IoT systems and Industrial Control Systems converge. Rakan has also completed an internship at the Telecommunication Regulatory Authority, UAE to develop business models, services, and applications in the smart city through strategic development and collaborative work, including the role of the IoT and digital technologies in helping cities.

Professional memberships and activities

Higher Education Fellowship

Academic qualifications

2018 PhD in Mobile Cloud Computing Anglia Ruskin University/ Faculty of Science and Technology.

2010 - MSc in Management Information Systems

2007 - BSc in Software Engineering

  • MCSE
  • Exchange Server
  • ISA Server
  • TOGAF
  • ITIL
  • CCNA

Expertise

My professional skills are focused on Software Engineering, Business Models, Project Planning, Management Information System, IT Management Services, Cloud Computing, IoT technology, and Computer Networking.

Research interests

Mobile Cloud Computing

Internet of Things IoT

Risk Assessment

Digital Transformation

Blockchain

Grants

£400,000 for one of the SDIPs projects

Enterprise and commercial interests

I have been involved in four Staffordshire Digital Innovation Partnerships (SDIPS) and supported one of the companies to gain around £400,000.

Teaching

  • Enterprise Systems
  • Research Methods
  • Managing Emerging Technologies
  • Project and Change Management
  • Group Project
  • Commercial Computing
  • Digital Technologies
  • Managing Information Systems
  • Enterprise Recourse Planning
  • Decision Support Systems

Publications

- Aldmour, R., Yousef, S., Baker, T. and Benkhelifa, E., 2021. An approach for offloading in mobile cloud computing to optimize power consumption and processing time. Sustainable Computing: Informatics and Systems, 31, p.100562.

- Aldmour, R, Burnap, P., Lakoju, M. 2019, May. Risk Assessment Methods for Converged IoT And Scada Systems: Review and Recommendations. Conference on living IoT, PETRAS, London.

- Karanam, L., Pattanaik, K.K. and Aldmour, R., 2020, December. Intrusion Detection Mechanism for Large Scale Networks using CNN-LSTM. In 2020 13th International Conference on Developments in eSystems Engineering (DeSE) (pp. 323-328). IEEE.

- Atiba, S.T., Moses, S.F., Lakoju, M., Semire, F.A. and Aldmour, R., 2020, December. Machine Vision Intelligent Travel Aid for the Visually Impaired (ITAVI) in Developing Countries. In 2020 13th International Conference on Developments in eSystems Engineering (DeSE) (pp. 317-322). IEEE.

- Aldmour, R., Yousef, S., Yaghi, M. and Kapogiannis, G., 2017, August. MECCA offloading cloud model over wireless interfaces for optimal power reduction and processing time. In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE.

- Aldmour, R., Yousef, S., Albaadani, F. and Yaghi, M., 2017, January. Efficient Energy and Processes Time Algorithm for Offloading Using Cloud Computing. In International Conference on Global Security, Safety, and Sustainability (pp. 364-370). Springer, Cham.

- Aldmour, R., Yousef, S., Yaghi, M., Tapaswi, S., Pattanaik, K.K. and Cole, M., 2016. New cloud offloading algorithm for better energy consumption and process time. International Journal of System Assurance Engineering and Management, pp.1-4. Rakan Ameen Aldmour 3 CV – March 2019

- Sarayreh, B., Mardawi, A. and Dmour, R., 2012. Comparative study: the Nonaka model of knowledge management. International Journal of Engineering and Advanced Technology, 1(6), pp.45-48.

Top 15 for Teaching Quality

The Times and The Sunday Times Good University Guide 2021

6th for Social Inclusion

The Times and The Sunday Times Good University Guide 2022

Midlands University of the Year

Midlands Business Awards 2020