The annual computer science event of The Finnish Society for Computer Science (August 31 – September 1) begins on Thursday with a Jubilee Seminar celebrating the 50th anniversary of the Computer Science Department in the University of Helsinki. Attendees of the two-day event can also join the banquet dinner later that day. On the next day the event continues in Aalto University.

Thursday 31.8. Helsinki (University Main Building & Old Student House)

50 Years of CS in Helsinki Jubilee Seminar
Banquet dinner (smart casual attire)

Thursday program is in both Finnish and English. See the detailed [Jubilee seminar programme]; Please note that when you register to the two-day event, a separate registration to the jubilee seminar (day program) is unnecessary.

NOTE: In case you have been invited to the jubilee dinner (evening program) by the University of Helsinki and also want to attend the Friday Program, please register to the dinner using the form in your dinner invitation (from the university) and register to day program (30€) using our registration form.

Friday 1.9. Espoo (TUAS Building)

Friday Keynotes

Matti PietikäinenMatti Pietikäinen is a professor at the Center for Machine Vision and Signal Analysis, University of Oulu. He has made pioneering contributions, e.g. to local binary pattern (LBP) methodology, face and emotion analysis, and biometrics. He has authored over 340 papers in international journals, books, and conferences. His papers have nearly 42,000 citations in Google Scholar (h-index 71). The results are used in various applications around the world. He has served on editorial boards and committees of major journals and conferences in computer vision and pattern recognition. He was Member of Finnish Artificial Intelligence Society Board (1986-88), President of Pattern Recognition Society of Finland (1989-92), and Member of Governing Board of International Association for Pattern Recognition (IAPR) (1989-2007). In 2014, his research on LBP-based face description was awarded the prestigious Koenderink Prize for Fundamental Contributions in Computer Vision. Dr. Pietikäinen is a Fellow of IEEE and IAPR.

Henry TirriHenry Tirri is Executive in Residence at Aalto University and Senior Advisor at Samsung. He has a unique background as an academic, corporate technologist, executive and entrepreneur, and extensive experience leading innovation and converting cutting edge technology development into high growth global business opportunities. Tirri is the former EVP and Chief Technology Officer of HARMAN International. Prior to HARMAN (2004 – 2015), he held technology leadership roles of increasing responsibility at Nokia, as EVP and CTO and a member of the Nokia Leadership Team, he was responsible for setting Nokia’s technology agenda and all forward-looking R&D. Before departing from Nokia he was the main architect of Nokia Technologies – Nokia’s technology licensing and health product arm. Tirri has been a tenured Professor of Computer Science at the University of Helsinki, Visiting Professor at Stanford University and an Adjunct Professor of Civil Engineering at University of California at Berkeley. Tirri holds Bachelor’s, Master’s and Ph.D. degrees in Computer Science from the University of Helsinki and an Honorary Doctorate from University of Tampere.


Registration desk opens
Opening words
MSc thesis awards
Coffee break
Towards Reading Emotions from Face Videos, Matti Pietikäinen, Professor, University of Oulu
The Information Systems Person of the Year award
Information Systems (Room 1021-1022), Teaching (Hall AS2)
Doctoral thesis awards
“AI in Real Life” – Applied Artificial Intelligence, Henry Tirri, Senior Advisor, Samsung
Coffee break
Turn Off Your WiFi!, Jussi Kangasharju, Professor, University of Helsinki
Panel discussion:
Data science & AI: What to Research and Teach, Matti Pietikäinen, Henry Tirri & Jussi Kangasharju, chaired by Patrik Floréen, Senior Researcher, HIIT
Value from Public Health Data via Cognitive Computing, Karoliina Talvitie-Lamberg, University of Jyväskylä
Posters, demos, refreshments


  1. PULS: Web-scale Surveillance of News Media Roman Yangarber, University of Helsinki
  2. Revita: Support for Endangered Languages Roman Yangarber, University of Helsinki


  1. Etymon: Modeling the Processes of Language Evolution Roman Yangarber, University of Helsinki
  2. Latent Space Representation for Cascade Prediction in Social Networks Alexander Semenov, University of Jyväskylä
  3. Measuring Engagement as a Driver of the Reach of Online Health Communities Alexander Nikolaev, University of Buffalo & University of Jyväskylä
  4. Value from Public Health Data via Cognitive Computing Karoliina Talvitie-Lamberg & Anniina Ala-Kitula, University of Jyväskylä
  5. InMoDe: Tools for Learning and Visualizing Intra-Motif Dependencies of DNA Binding Sites Ralf Eggeling, University of Helsinki
  6. Multi-model Databases Pengfei Xu & Yuxing Chen, University of Helsinki
  7. Lightweight Computing Approaches for Wearable Devices Golnaz Sahebi, University of Turku
  8. Differentially Private Bayesian Learning on Distributed Data Mikko Heikkilä, University of Helsinki
  9. Teaching Machine Learning Basic Principles Alex Jung, Aalto University
  10. Fast Nearest Neighbor Search Through Sparse Random Projections and Voting Ville Hyvönen, University of Helsinki
  11. Probabilistic Size-constrained Microclustering Aditya Jitta, University of Helsinki
  12. Importance Sampled Stochastic Optimization for Variational Inference Joseph Sakaya, University of Helsinki
  13. Averaging of Decomposable Graphs by Dynamic Programming and Sampling Kustaa Kangas & Teppo Niinimäki, Aalto University
  14. The Mixing of Markov Chains on Linear Extensions in Practice Topi Talvitie, University of Helsinki & Teppo Niinimäki, Aalto University

The Friday program is mainly in English.