Midnight Sun Summit in Mathematics and Engineering
Building Bridges Between Theory and Practice
Welcome to the homepage of the Midnight Sun Summit in Mathematics and Engineering (MSSME) organized by the Departments of Mathematics and Statistics and of Computer Science and Computational Engineering at UiT The Arctic University of Norway. Our conference will take place on June 15-19, 2026 in Narvik, Norway with the following objectives:
To highlight recent advances and outstanding challenges in fields where mathematics and engineering intersect.
To foster an environment conducive to networking and interdisciplinary exchange.
To provide a platform for researchers at all career stages—from graduate students to internationally recognized scholars—to share and discuss their work.
To enhance collaboration with industry partners.
To strengthen ties between Scandinavia and the international research community.
Confirmed plenary speakers of this summit include:
Suresh Bhalla (IIT-Delhi, India)
Björn Birnir (UCSB, United States)
Rune Brincker (Brincker Monitoring ApS)
Annalisa Buffa (EPFL, Switzerland)
Arash Soleiman Fallah (OsloMet, Norway)
Hans Georg Feichtinger (U. Vienna, Austria)
Barbara Kaltenbacher (U. Klagenfurt, Austria)
Jean-Bernard Lasserre (LAAS-CNRS, France)
Pierre-Louis Lions (École Polytechnique and Collège de France)
Adrian Muntean (Karlstad University, Sweden)
Hans Munthe-Kaas (UiT Tromsø and UiB Bergen, Norway)
Satoshi Okabe (Hokkaido University, Japan)
Andrey Piatnitski (UiT Narvik, Norway)
Lubos Pick (Charles University, Czechia)
Natasha Samko (UiT Narvik, Norway)
Wil Schilders (T.U. Eindhoven, Netherlands)
Anna-Karin Tornberg (KTH, Sweden)
Session topics will include:
Mathematics and mathematical modelling
Scientific computing and simulations
Statistics and statistical modelling
Homogenization theory with applications
Optimization and systems theory
Smart materials and structural health monitoring
Quality control evolution in the building industry
Electrical energy systems
Sustainable urbanism and climate adaptation of infrastructure
Structural health monitoring of civil engineering structures and infrastructures
Applications of artificial intelligence and machine learning
