Dr Mona Jaber
Lecturer in Internet of Things
Email: firstname.lastname@example.orgRoom Number: Engineering, Eng 212
Microprocessor Systems Design (BUPT joint programme)
The course examines the structure, programming and applications of microprocessor and microcontroller devices. There will be practical design and development using microcontroller as part of the module.
Signals and Systems (BUPT joint programme)
Signals and Systems is an introduction to Signal Theory, a discipline that forms an integral part of many engineering systems, including Internet of Things systems. The concepts of continuous-time and discrete-time signals and systems will be introduced, both in the time and in the frequency domains. Fourier approaches will be presented to connect the time and frequency domains and sampling theory will be presented to connect continuous-time to discrete-time signals and systems. Analytical and computational tools will be discussed throughout the module.
I am broadly interested in machine learning applications for network data analytics with focus on network automation and IoT applications. In particular, my current research interests are shaped by the emerging intersection between smart city and transport applications leading to Smart urban mobility. In this context, my research explores the role machine learning and IoT data to model the interaction between the urban planning, traffic control, and urban mobility.
Similarly, my continuing research on network data analytics investigates the application of machine learning techniques to manage the performance of wireless networks and enable an agile user-centric service-provisioning scheme, dubbed as network elasticity.
I currently have a PhD position on Machine learning and IoT. If you are motivated by the topic and have the required qualification please visit this link: https://www.findaphd.com/phds/project/phd-studentship-in-machine-learning-and-iot/?p113421.
You can find the list of publications here.