Programme
17:30–17:55 Philip Gerlee, Professor in Applied Mathematics and Statistics – Prediktioner på vinst och förlust: hur matematisk modellering kan kopplas till beslutsfattande (Hit-or-miss predictions: how mathematical modelling can be linked to decision-making. The lecture is held in Swedish, abstract on the Swedish page)
17:55–18:20 Rahim Nkunzimana, PhD student in Mathematics (TBA)
18:20–18:45 Marija Cvijovic, Professor in Applied Mathematics and Statistics – Det som inte dödar dig stannar kvar – och gör dig äldre (What does not kill you stays with you – and makes you older. The lecture is held in Swedish, abstract on the Swedish page)
18:45–19:10 Fika
19:10–19:35 Joseph Löfving, PhD student in Applied Mathematics and Statistics – Speedrunning Trams – Getting the Most out of a Day Ticket and Setting a World Record
Abstract: The world record for fastest journey between every station on the London Underground is 17 h, 46 min and 48 s. Naturally, Gothenburg, or “Little London”, deserves a little world record of its own. In this presentation, I will talk about how my friend and I set the (unofficial) record for the Gothenburg tram network, using only mathematics, a government-funded high-performance computing cluster, and a great willingness to spend several hours on public transport only to end up where we started.
19:35–20:00 Andrii Dmytryshyn, Associate Professor in Applied Mathematics and Statistics – Does Math Know What You'll Watch and How You Dance?
Abstract: Incomplete data is everywhere, from scientific experiments and medical measurements to movie ratings and motion tracking. How can we recover what is missing? In this talk, we show how mathematical models based on low-rank matrices and tensors reconstruct unseen information. Using examples from movie recommendation systems and dance tracking, we reveal how hidden structure allows math to make smart predictions.
