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Helsinki Institute for Information Technology Scientific Advisory Board Meeting October 16 & 17, 2003.

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Presentation on theme: "Helsinki Institute for Information Technology Scientific Advisory Board Meeting October 16 & 17, 2003."— Presentation transcript:

1 Helsinki Institute for Information Technology Scientific Advisory Board Meeting October 16 & 17, 2003

2 Participants • Prof. Christos Faloutsos • Prof. Randy Katz • Prof. Martin Kersten • Prof. Kari-Jouko Räihä • Prof. Mart Saarma • Prof. John Shawe-Taylor • Prof. Mauri Airila • Prof. Esko Ukkonen • Dr. Patrik Floréen • Dr. Aapo Hyvärinen • Prof. Heikki Mannila • Prof. Martti Mäntylä • Prof. Kimmo Raatikainen • Prof. Henry Tirri • Prof. Hannu Toivonen

3 Goal of the meeting • First meeting of the Scientific Advisory Board • Obtain feedback from the Scientific Advisory Board on the relevance, quality, and impact of the current research • Obtain feedback and suggestions on plans for the research themes, applications, collaborations, etc. • A short written report would be useful • In the future, meetings every 12-18 months

4 Agenda: October 16 • 15.00-15.20: Welcome & introductions • 15.20-15.50: An overview of HIIT (Heikki Mannila and Martti Mäntylä) • 16-18: Presentations of three research themes & discussion –16.00-16.40: Data mining: theory and applications (Heikki Mannila) –16.40-17.20: Computational neuroscience (Aapo Hyvärinen) –17.20-18.00: Mobile computing (Kimmo Raatikainen) • 19.30-- Dinner at Restaurant Palacen Ranta

5 October 17, 2003 (location: HTC, Tammasaarenkatu 2) • 8.40: Taxi transportation from hotel SAS Royal to HTC • 9-11.40: Presentations of four research themes & discussion –9.00-9.40: Data mining in genetics (Hannu Toivonen) –9.40-10.20: Adaptive computing systems (Patrik Floréen) –10.20-11.00: Intelligent systems (Henry Tirri) –11.00-11.40: Digital economy (Martti Mäntylä) • 12.00-13.00: Lunch • 13.00-14.00: SAB internal discussion • 14.00-15.00: Feedback session and closing of the meeting

6 Helsinki Institute for Information Technology • Joint research institute of University of Helsinki and Helsinki University of Technology • Goals: strategic research in information technology and related topics, aiming at high impact • Main themes: mobile computing, user experience, intelligent systems, digital economy, adaptive computation, data mining, bioinformatics, computational neuroscience

7 Organization: two parts • Advanced Research Unit (ARU) 1999  –2-3 year industry co-funded projects –Located in HTC in Ruoholahti –Martti Mäntylä, Research Director • Basic Research Unit (BRU) 2002  –Long-term research in areas relevant to other sciences and to industry –Located in the premises of the departments of computer science of the University of Helsinki and Helsinki University of Technology –Heikki Mannila, Research Director

8 HUT UH Comp. Sci. BRU ARU

9 Organization of HIIT • Joint board, scientific advisory board, and industrial advisory board • The senior researchers typically have positions also in one of the departments of computer science • No permanent positions

10 Level of risk Time R&D “Advanced Development” Advanced Research HIIT ARU Industry co-funded research 0-2 years2-5 years5+ years Industrial R&D Basic Research, Core Projects HIIT BRU companies other sciences

11 Basic Research Unit • In the premises of the departments of computer science of the two universities • About 30 persons (22+8) • Main themes: –Data mining: theory and applications –Proactive computing / adaptive computing systems –Computational neuroscience (8/2003) • Funding: University of Helsinki, Academy of Finland, National Technology Agency, companies

12 Basic Research Unit: Mode of Operation  Cooperation of the two universities  Strong ties to the departments of computer science  Basic research in areas where applications are also visible  Cooperation with other sciences and with industry  International cooperation  Participation in teaching (everybody teaches)

13 Basic Research Unit: personnel • 5 senior researchers • 6 post docs • 14 Ph.D. students • Part-time M.Sc. students

14 Goals for BRU for 2005-2006 • About 5-6 large themes • Approximately 50-60 researchers • Strong network of collaboration in Finland and internationally

15 Advanced Research Unit • Mainly located in High Tech Center, Ruoholahti • About 70 persons (50+20) • Main themes: –Mobile Computing and Communication •Adaptive Computing Systems –Intelligent Systems –Digital Economy –”Media Convergence” •Semantic Internet, Community Media • Funding: National Technology Agency (59%), companies (22%), Academy of Finland (10%), universities (10%)

16 Advanced Research Unit: Mode of Operation  Focusing on a few related, industrially relevant, strategic, long-term research areas  Core projects with long-term vision (5+ years)  Medium term (3-5 years) projects focusing on new products, services, and technologies  Networking with complementary research groups at HUT, UH, other universities  Strong liaison with ICT and media companies  Multidisciplinary and cross-disciplinary research founded on computer science competence  International cooperation

17 Advanced Research Unit: Personnel • 5 principal scientists –Prof. Martti Mäntylä, Prof. Kimmo Raatikainen, Prof. Henry Tirri, Prof. Jukka Kemppinen, Prof. Eero Hyvönen • 10 senior researchers –Dr. Pekka Nikander, Dr. Ken Rimey, Dr. Timo Saari, Prof. Petri Myllymäki, Dr. Wray Buntine, Dr. Jorma Rissanen, Dr. Patrik Floréen, Dr. Pekka Himanen, Dr. Marko Turpeinen, Dr. Timo Saari • 1 post doc –Dr. Jan Lindström • ~35 Ph.D. students • ~25 M.Sc. students

18 Goals for ARU for 2005-2006 • Commence work on one or two new theme areas • Grow new competences and research groups around senior researchers & postdocs • A few additional close international partnerships in East Asia, Europe, USA, … • Operational excellence • Approximately 85-90 researchers

19 Presentations of Research Themes • Data mining: theory and applications (Heikki Mannila) [BRU] • Computational neuroscience and cognition (Aapo Hyvärinen) [BRU] • Mobile computing (Kimmo Raatikainen) [ARU] • Data mining in genetics (Hannu Toivonen) [BRU] • Adaptive computing systems (Patrik Floréen) [BRU & ARU] • Intelligent systems (Henry Tirri) [ARU] • Digital economy (Martti Mäntylä) [ARU]


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