New Professors' Celebration Lectures - Agora

In the New Professors' Celebration Lectures, professors will present topic of their research to the public and reflect their scientific discipline's significance in the future.

A recording of the event will be made and added to this website after the event.
Kuvassa kasa tohtorinhattuja

Event information

Event date
-
Registration period
-
Event type
Public lectures, seminars and round tables
Science events
Citizen science
Event language
Finnish
Event accessibility
Sign language interpretation available, on request in advance
Event space is accessible for all
Event organizer
Communications and Community
Event payment
Free of charge

New Professors’ Celebration Lectures will be held on Wednesday, 10 December 2025, starting at 12:15 p.m. in the Agora (Ag) building and its Martti Ahtisaari -auditorium (A102), 1st floor. The professors will give their celebration lectures in their native languages.

We kindly ask the public to be seated by 12:00 noon.
Doors to the auditorium open to the public at 11:30 a.m. 

The celebration lectures will be given by:
Timo Jaakkola - Faculty of Sport and Health Sciences
Arja Sääkslahti - Faculty of Sport and Health Sciences
Tuomas Grahn - Faculty of Mathematics and Science
Vesa Julin - Faculty of Mathematics and Science
Mikko Parviainen - Faculty of Mathematics and Science
Tapio Rajala - Faculty of Mathematics and Science

Opening words by Vice Rector Kaisa Miettinen.

The event will be followed by a coffee service in the Agora lobby (1st floor) for registered participants.
Dress code for public: smart casual.

More information on the registration form.
Please note that this event is held in Finnish. 

Registration / Enrollment

Registration for the event closes on Monday, 1 December 2025, at 4:00 p.m.
In the photo (from left to right): Timo Jaakkola, Arja Sääkslahti ja Tuomas Grahn.

New professors

Timo Jaakkola is seeking solutions to increase children’s physical activity. The aim is to increase children’s physical activity and study its impact on wellbeing, for example, sleep and recovery. Over the years, his research has expanded from motivational factors of PE education to include the study of physical activity, motor skills, and the measurement of motor skills and physical condition. 

Arja Sääkslahti explores the importance of physical activity in children’s development from multiple perspectives.Her research focuses on early childhood, with a particular emphasis on building a strong foundation for physical activity and preserving the joy of movement. Sääkslahti’s research in sport pedagogy includes a strong developmental perspective, attention to individual needs, and the understanding that each of us contributes to physical activity education in some way. 

Tuomas Grahn is investigating the structure of neutron-rich heavy nuclei, through which we can achieve better understanding of the universe and the microscopic structure of matter. The research is experimental and includes work to develop, maintain and optimise new equipment, which also enables the emergence of new technologies. Research also involves instrumentation development. 

In the photo (from left to right): Vesa Julin, Mikko Parviainen ja Tapio Rajala.

New professors

Vesa Julin studies mathematical models that represent natural phenomena. The research has focused on nonlinear partial differential equations, such as mean curvature flows, but also on isoperimetric inequalities, creating new connections between mathematical analysis and geometry.  

Mikko Parviainen conducts research on nonlinear partial differential equations and their connection to stochastic game theory, which is a relatively new area of research. He aims at further developing the stochastic game theory as well as the theory of nonlinear partial differential equations.   

Tapio Rajala conducts basic research in mathematical analysis. His areas of interest are optimal mass transport and Sobolev extension domains. Optimal mass transport has applications in a wide range of data processing applications, including image processing, machine learning, and economics.

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