Matthew Alcock

Contact

• workRoom A31 Coates
  University Park
  Nottingham
  NG7 2RD
  UK
• Matthew.Alcock1@nottingham.ac.uk

Biography

Prior to joining the University of Nottingham Matthew worked as an Associate Lecturer with the University of Portsmouth teaching Mathematics, Electrical and Electronic engineering to Royal Navy Engineers. After completing an Msc in Electrical and Electronic Engineering at UoN he took up a PhD in Space Geodesy at the Nottingham Geospatial Institute. Matthew is currently writing up his thesis while undertaking the role of Teaching Assistant within the Electrical and Electronic Engineering (EEE) department at UoN.

Expertise Summary

Matthew has worked in the field of Academic Engineering for many years as student, researcher and lecturer. As a student, communications, analogue/digital circuits and electro-magnetism/machines were his main fields of study. As a researcher Matthew has studied GNSS signal authentication as part of his PhD in Space Geodesy and Electrical Machine design as part of his MSc in Electrical and Electronic Engineering. As a lecturer Matthew has taught Engineering Mathematics, Electrical and Electronic Engineering to Degree Level. At present he his typing up his PhD thesis while working as a Teaching Assistant at the University of Nottingham.

Teaching Summary

Matthew has taught Mathematics , Electrical and Electronic Engineering to Foundation Degree level at HMS Sultan. While undertaking Phd, Mathew worked as a demonstrator on the EEEE1005 Engineering… read more

Research Summary

GNSS Signal Authentication / Multipath Detection and Measuring. GNSS has been widely adopted across the globe and a result the precision and security of such systems has been put under the… read more

Matthew has taught Mathematics , Electrical and Electronic Engineering to Foundation Degree level at HMS Sultan. While undertaking Phd, Mathew worked as a demonstrator on the EEEE1005 Engineering Mathematics Module. As a Teaching Assistant Matthew will be involved in the delivery of EEEE1005 and EEEE1002 Applied Electrical and Electronic Engineering. Construction Project Teaching and Learning interests include:

Mathematics -

Trigonometry

Calculus

Fourier / Laplace / Z-Transforms

Electronic Engineering -

Digital and Analogue Circuit Design / Analysis

Communications

Digital Signal Processing

Electrical Engineering -

Electromagnetics

Electrical Machines

Current Research

GNSS Signal Authentication / Multipath Detection and Measuring. GNSS has been widely adopted across the globe and a result the precision and security of such systems has been put under the microscope. The single largest error source for stand alone GNSS receivers is the Multipath phenomenon, where signals are reflected and refracted resulting in the signal taking multiple paths to the receiving antenna. One of the most dangerous forms of intentional signal interference is that of matched power synchronized spoofing attacks which carefully evade most interference detection algorithms. Spoofed GNSS signals are fabricated signals that can result in the target receiver computing inaccurate position and time information. These two types of interference share similarities on a signal / signal processing level. My PhD research involves finding a detection and classification scheme for these two types of GNSS interference to improve the security and precision of modernised GNSS signals.

Past Research

MSc Thesis in Electrical Motor design - demonstrated that the largest amount of torque could be produced using the minium amount rare earth material.