Anis Hamadouche is a final-year PhD student from Heriot-Watt University. Mr. Hamadouche’s work consists of theoretically analyzing the performance of iterative optimization algorithms, such as proximal algorithms and alternating direction  method of multipliers (ADMM), when the internal operations of the algorithms are executed with errors. The types of errors considered stem from approximations at hardware and software levels, for example, quantization under different types of numerical representations, including fixed- and floating-point representations. Although this work is very theoretical, it has wide-ranging implications. In fact, in contrast with prior work, it considers realistic error models and implementation in platforms like FPGAs. Mr. Hamadouche’s PhD is associated with the UDRC Phase III programme (https://udrc.eng.ed.ac.uk/), sponsored by UKRI’s EPSRC and the MoD. And, in this context, it has explored applications in defense, for example, planning and control of drone trajectories, and image processing.