CANCELLED: March 24 Lunch Pitch: Students taking on your project and seeing the beauty in mathematics
March 24, 2020 @ 12:00 - 13:00
Lunch Pitches with Martin Rosvall and Manya Sundström
To encourage cross pollination of ideas between researchers from different disciplines, IceLab hosts interdisciplinary research lunches with the vision of allowing ideas to meet and mate. During the Lunch Pitch Season, the creative lunches take place at KBC every other Tuesday.
This lunch pitch has been cancelled due to COVID-19 precautions.
Pitch 1: Martin Rosvall: Creative students can help you realize your project idea
Professor, Department of Physics and Icelab, Umeå University
• Automatic tree detection and species identification by fusion of laser scanner data and camera images. In collaboration with SLU, the students equipped a portable laser scanning system with a camera to identify trees and used deep learning for species determination.
• Pilot-scale reactor for water treatment: Removing pharmaceuticals from drinking water with ozone injection. In collaboration with Miljötekniskt Center AB and Umeå University, the students built a lab-scale radical hydroxyl reactor to purify wastewater from drugs.
Pitch 2: Manya Sundström: On the beauty of mathematics, and how to teach it
Associate Professor, Department of Science and Mathematics Education, Umeå University
About the Pitchers
From flows of money between banks or ideas among scientists to pandemic outbreaks and range shifts of species, Martin Rosvall’s research focuses on developing methods for revealing the inner workings of interconnected systems to answer questions in various areas of science.
Martin was born in Uppsala and grew up north of Umeå. He went to a high school for cross-country skiing in Lycksele before his undergraduate in engineering physics. After his Ph.D. in network science at the Niels Bohr Institute in Copenhagen, Martin moved to the Department of Biology at the University of Washington in Seattle for his postdoc. There he started working on a grand challenge in network science: how to simplify and highlight essential regularities in networks into maps. Mapping networks is a holy grail of data science because in the myriad links and nodes of a network hide answers to how we can predict how the system will evolve.
From 2009 at Umeå University, Martin has continued to develop and integrate new math, algorithms, and visualizations into powerful mapping tools for efficiently going from interaction data to insightful maps, new hypotheses, and unexpected discoveries. With a thriving research group in IceLab and a growing collaboration network, the applications now extend across both the natural and social sciences.
Manya Sundström is an associate professor of mathematics education at Umeå University. She works also at Curiosum, Umeå’s new science center, developing exhibitions and programs that highlight the aesthetic side of mathematical practice. She holds a PhD in mathematics education from UC Berkeley, and an MA in mathematics from UC Berkeley. Her research interests include mathematical aesthetics, history of mathematics, and psychological factors related to the learning of mathematical proof.