Ohjelma

Tietojenkäsittelytieteen päivät 2017 alkavat 31.8. Helsingin yliopiston tietojenkäsittelytieteen laitoksen
50-vuotisjuhlaseminaarilla, sekä päivien ja juhlien yhteisillallisella. Seuraavana päivänä, 1.9., päivät jatkuvat monipuolisella ohjelmalla Aalto-yliopiston tiloissa.


Torstai 31.8. Helsinki (HY:n päärakennus & Vanha ylioppilastalo)

13:00
HY:n Tietojenkäsittelytieteen laitoksen 50-vuotisjuhlaseminaari
19:00
Juhlaillallinen (smart casual -puku)

Ohjelman kieliä ovat sekä suomi että englanti. Juhlaseminaarin tarkempi ohjelma löytyy täältä (https://uhcs50.cs.helsinki.fi). Huomaa, että sinun ei tarvitse ilmoittautua juhlaseminaarin päiväohjelmaan erikseen, jos ilmoitat osallistumisesi tietojenkäsittelytieteen päiville – me välitämme tiedot eteenpäin.

Huom: Mikäli olet saanut Helsingin yliopistolta erillisen kutsun juhlaillalliselle, toimi seuraavasti: ilmoittaudu illalliselle kutsusi ohjeiden mukaan ja tämän lisäksi Tietojenkäsittelytieteen päivien päiväohjelmaan (30€) tämän sivuston lomakkeella.


Perjantai 1.9. Espoo (TUAS-talo)

Keynote-puhujat

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.

Ohjelma

09:00
Ilmoittautuminen alkaa
09:15
Avaussanat
09:20
Pro gradu -palkinnot
10:30
Kahvitauko
10:45
Keynote:
Towards Reading Emotions from Face Videos, Matti Pietikäinen, professori, Oulun yliopisto
11:30
Vuoden tietojärjestelmätieteilijä
12:00
Lounas
12:30
SIGit:
Tietojärjestelmätiede (huone 1021-1022),
Opetus (sali AS2)
13:15
Väitöskirjapalkinnot
13:45
Keynote:
”AI in Real Life” – Applied Artificial Intelligence, Henry Tirri, Senior Advisor, Samsung
14:30
Kahvitauko
14:45
Turn Off Your WiFi!, Jussi Kangasharju, professori, Helsingin yliopisto
15:00
Paneelikeskustelu:
Data science & AI: What to Research and Teach,
Matti Pietikäinen, Henry Tirri & Jussi Kangasharju, puhetta johtaa Patrik Floréen, vanhempi tutkija, HIIT
15:45
Value from Public Health Data via Cognitive Computing, Karoliina Talvitie-Lamberg, Jyväskylän yliopisto
16:00
Postereita, demoja, tarjoilua

Demot

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

Posterit

  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
17:30
Loppusanat

Ohjelman kielenä on pääasiassa englanti.


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