Pet wearables are increasingly popular to keep track of where our loved companion animals are, how much activity they're getting, and whether we're giving them the best care we can. But given how close humans and their pets are, the rise of capturing and processing companion animal data holds important privacy implications to consider. This project investigates the unexpected threats to our privacy and safety that might arise.

Check out: "Buddy's wearable is not your Buddy", "Some might freak out", and "Pets without PETs"

While many people might speak to their companion animals (dogs, cats, birds, or even ferrets) it's difficult to understand what they really mean when they 'speak' back to us. Let alone when you're an engineer trying to ask these animals if they would be interested in a new technology designed to make their lives better. This project investigates how to practically do requirements engineering with animals.

Check out: "Pushing Boundaries of RE" and "Agile with Animals"

There is an ever-growing number of visual modeling languages used in software and requirements engineering. Motivated by the need to understand to what extent such notations are designed to be cognitively effective and accommodate the requirements of the professionals using them, I elicited their requirements, and critically analyzed the extent to which research seriously engages with theory for the cognitively effective design of such notations.

Conceptual modeling is used in many fields of engineering to describe a domain of interest and communicate it towards others, from using UML for the architecture of a piece of software, to using ArchiMate for the socio-technical make-up of a multi-national organization. I focused on understanding how the personal semantics people have of the constructs of the language they use to model, affect how they understand models they create and read.