News

Inka Lehtimäki awarded best Master’s thesis in engineering and architecture

Aalto University graduate Inka Lehtimäki has been awarded the best Master's thesis award by tech trade unions TEK and TFiF.
Aalto University's master's degree student Inka Lehtimäki.
Lehtimäki completed her thesis in the Master's Programme in Life Science Technologies at Aalto's Department of Computer Science. She majored in complex systems and graduated in 2021. Image: Jari Härkönen

Lehtimäki developed a novel method to differentiate epileptic and functional seizures with machine learning from video data. She worked with Tampere-based epilepsy monitoring company Neuro Event Labs and supported the company's product development in epilepsy monitoring.

‘I am inspired by the practical approach of coding to analytical reasoning,’ said Lehtimäki. ‘The best thing is when I can apply my own knowledge in a field that interests me and at the same time help others.’

The 5,000-euro prize was awarded by the Finnish tech trade union, TEK and its Swedish-speaking counterpart TFiF. The annual awards celebrate the best Doctoral and Master's theses in the Finnish engineering and technology scene.

‘The awarded thesis is a novel contribution at the intersection of computation and epileptic seizures,’ says Juhani Nokela, director of public affairs at TEK. ‘It has been completed independently in a company with added value for the company’s product development. It reads well and is sufficiently understandable to readers outside the field.’

After graduating in 2021 from Aalto, Lehtimäki has continued to work with machine learning.

‘I’m a technology consultant at Accenture and I help our healthcare clients with machine learning projects. My studies at Aalto, and the skill I learned when working on my Master's thesis, have supported my career tremendously.’

Lehtimäki completed her Bachelor’s degree in chemical and bio engineering. She switched to the Master's Programme in Life Science Technologies to pursue her interest in the healthcare sector and to learn more about machine learning.

‘Students should pursue their interests, wherever they may lead. The possibilities will open up. You don’t have to know everything – the key thing is to be willing to learn. My friends and I had some pretty late nights with machine learning courses in the beginning, but hard work paid off in the end.'

Link to the Master's thesis: Automatic Video-based Classification of Convulsive Epileptic and Functional Seizures, supervisor Riku Linna and advisor Andrew Knight

Read the original news article (tek.fi)

Aerial photo of Computer Science Building at Aalto University campus

Department of Computer Science

To foster future science and society.

  • Published:
  • Updated:
Share
URL copied!

Read more news

Isoisänsilta Helsingissä.
Studies Published:

Apply for grants from the Fabian and Jaakko Ahvenainen Fund - deadline 31 January 2023

Grants will be admitted in recognition of studies completed either in the field of bridge engineering or structural engineering and building physics, or as support for postgraduate studies in these fields.
Close-up of curly wood grain orientation of an old piece of wood
Studies Published:

Online course “Wood material science” starts 10.1.2023

Learn 100% online how the structure of wood affects its physical and mechanical properties.
Sensual mathematics. Photo: Henri Vogt.
Studies Published:

Call for applications for Crystal Flowers in Halls of Mirrors is now open

Kristallikukkia peilisaleissa –kurssi - MS-E1000 Crystal Flowers in Halls of Mirrors: Mathematics meets Art and Architecture - on avoin kaikille kandiopiskelijoista tohtorikoulutettaviin, matematiikan ja tekniikan aloista taiteisiin, muotoiluun, arkkitehtuuriin ja kemiasta liiketoimintaan. Kurssille otetaan korkeintaan 50 opiskelijaa motivaatiokirjeiden perusteella, ja haku on auki 10.1.2023 saakka. Kurssi on 15 opintopisteen suuruinen, ja se järjestetään joka toinen vuosi.
TFiF-kandityön palkinnon voittaneet opiskelijat.
Honoured, Studies Published:

Three Aalto students were awarded for the best bachelor's thesis in Swedish in the field of technology

TFiF's awards went to Linda Autio, Isak Jungerstam and Fanny Hakala.