Lauri Koivunen
M.Sc. (Tech.)

Software Engineering

Työhuone: 425

Available from 9 to 17


Website (Presently empty)

Information security; DevOps; Software Engineering; Software Development; Python; Linux; Embedded; Data Visualization; network security; IoT; Data analysis; GDPR; software privacy; privacy; programming; software security; firmware security; networked systems; computer networks; networked systems security; cryptography in practice



So far research has included software security, privacy and diversification since 2018. How to make software that is usable and does not make for example desire paths bypass security. The end goal is to find all the tools a software/system can deploy to make security as good as it can be and to balance with usability. Policies are good as long as they are observed (hard to enforce permanently!), but software/hardware changes should be the primary way to enforce any policies since humans are fallible and this is where we are still improving (2-factor, security keys, NFC payments, etc.).

On the Flavoria research restaurant side we have built a research platform with hundreds of sensors and also collaborated, for example, with Helsinki University on computer vision assisted food recognition based on our research platform. The aim in future is to figure out new ways we can affect the meal experience in a positive way and lift the research possibilities of everyday eating to a level where data is gathering itself as autonomously as possible. 


Full stack -kurssien avustaja 2019-2020

Insinöörityön perusteiden harjoitusten avustaja 2019-

Capstone-kurssin suunnitteluavustaja ohjelmistojen pystytyksessä 2018-

Pilottivaiheen omaopettaja 2018-2019


Last updated on 2022-07-10 at 16:56