2nd Vaasa Workshop on Machine Intelligence and Applications (MIA)


Schedule and location

Thursday November 28

Academic library Tritonia, Nissi Hall (Yliopistonranta 7, 65200 Vaasa)



Members of INFORTE.fi register using the form in INFORTE.fi site. Registration is open until November 24.


 Professor Tero Vartiainen, University of Vaasa, Finland


Program Scedule

Workshop Registration and Coffee: 8:30-9:00

Opening: 9:00-9:15

Opening and welcome words by Dean Harry Linnarinne, School of Technology and Innovations

Introducing the Program, Director, prof. Heidi Kuusniemi, University of Vaasa


Session I Machine Intelligence and the Future: 9:15-10:45

Session Chair: Dir., Prof. Heidi Kuusniemi, University of Vaasa 

  1. “Uncertainties and machine learning", Prof. Mohammed Elmusrati, University of Vaasa
  2. “Intelligent Robotics”, Heikki Koivo, Emeritus Professor, Aalto University
  3. “Quantum machine learning and its application to quantum communications”, Prof. Riku Jäntti, Aalto University

 Coffee Break 10:45-11:00

 Session II Machine Intelligence and Data: 11:00-12:00

Session Chair: Assoc. Prof. Jani Boutellier, University of Vaasa 

  1. "Data quality in machine learning applications", Dr. Eija Ferreira, University of Oulu / VTT Oy Oulu
  2. "AI in business intelligence applications", Jan Holmberg, Aureolis Oy

Lunch Break 12:00-13:00 @ campusrestaurant  Mathilda (building Tervahovi). Also possible to visit the Vaasa Game Days event in Fabriikki.

 Session III Machine Intelligence in Finance: 13:00-14:30

Session Chair: Ass. Prof. Mikko Ranta, University of Vaasa 

  1. ”Using machine learning to classify financial contexts”, Jukka Sihvonen, Assistant Professor, Aalto University
  2. ”Where two worlds meet – in the crossroads banking, start-ups and Fintechs”, Mikko Knuuttila, Director, Raiffeisen Bank International AG
  3. ”Reminiscences of an algo trader”, Anssi Pukkinen, CTO, Fliq Oy

 Coffee Break 14:30-14:45

 Session IV Machine Intelligence for Sustainability: 14:45-16:15

Session Chair: Assoc. Prof. Petri Välisuo, University of Vaasa 

  1. "Intelligent Machines in Building Automation, use case IoT-Ticket HVAC", Juha-Matti Mäntykoski, Wapice Oy
  2. Digital Twin of the engine research platform in VEBIC, Saana Hautala and Emma Söderäng, Project Researchers, University of Vaasa
  3. 5G and AI as tools to make smart grids more intelligent, safe and secure, Petri Välisuo, Associate Professor, University of Vaasa

After the seminar there is still the possibility to visit Vaasa Game Days event, (Fabriikki, University of Vaasa)


More information: https://www.univaasa.fi/en/sites/mia/

Credit points

Doctoral students participating in the seminar can obtain 1 credit point. This requires participating  and completing the assignment.