Professor Mohammed Benaissa

After graduating with a Dip.Ing degree in Electrical and Electronic Engineering and a short stint in industry, I embarked on a PhD in VLSI Signal Processing, where I investigated algorithms and circuit architectures for the VLSI implementation of Digital Signal Processing operations based on the Number Theoretic Transforms.

My PhD research, subsequently, led to an interest in applications of number theory in communication systems, cryptography, signal processing and in various aspects of electronic system design, such as design automation, high performance and low-power. These were further developed via various industrial secondments and consultancies.

I have maintained an interest in finite number systems, as well as, in error control coding, in particular in their application to secure and fault-tolerant design.

I have a strong interest in hardware cryptography in terms of challenging the design space of cryptography primitives to enable scalability, security and privacy across domains of application.

Healthcare technology translational research dominates my current research activity, which revolves around technology and decision support for diabetes management using a data-driven behavioural approach. Over the last 7 years, we have co-created the WithCare+/Glucollector technology platform, to facilitate the collection, management and automated interpretation of diabetes patient self-care data, to provide clues for behavioural interventions. The platform has already been deployed successfully with over 270 people with type 1 diabetes (T1D) and 40 Healthcare professionals (HCPs) across 6 NHS trusts within the DAFNEplus Randomised Control Trial. The platform is being further developed via a Healthy Ageing grant (ES/V009796/1) to integrate physical activity (PA) and cognitive data.

Current collaboration with the Design Age Institute (DAI) at the Royal College of Art  is improving the inclusivity of the technology platform
I have published over 160 papers and successfully supervised over 25 PhDs. I received a best paper award for the work on secure and privacy aware RFIDs, an innovation prize award for work on a Diabetes monitoring system, and a granted Patent on WithCare+ ((Patent GB 2467079) .

I have acted as an external examiner for Computer Science and information systems undergraduate courses at Birkbeck (University of London) and examined over 20 PhDs.

I have served on numerous TPCs for conferences, sat on several research funding panels and acted as an external reviewer of research.