DSTI School of Engineering

Faculty research, student-built datasets, alumni work in the field, and engineering decisions from inside DSTI School of Engineering. Each article begins with something real: a model, a paper, a repository, a system or a difficult trade-off.

Equal-weight editorial cards keep the focus on the work itself. Sort by contributor group, or move across research, projects and engineering practice.

Why DSTI teaches agent-based modelling when the dataset is absent, fragmented or rightly out of reach.

A live beta examining team formation, state modelling, access control, maintenance and the evidence behind a shared software project.

Why the BSc follows energy, climate and computing across three years before asking what efficient IT really means.

Why computing, AI, networks, data systems and connected objects need historical grounding, technical memory and social context.

A Google Cloud workflow connecting vehicle sales, powertrain components, suppliers, pricing and market addressability.

How dbparser turns DrugBank, OnSIDES and TWOSIDES into consistent, traceable R objects for reproducible research.