DOCSLIB.ORG

(FDK) Research Unit the Status of a National Center-Of-Excellence from January 1, 2002

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
(FDK) Research Unit the Status of a National Center-Of-Excellence from January 1, 2002 FROM DATA TO KNOWLEDGE (FDK) RESEARCH UNIT NATIONAL CENTRE OF EXCELLENCE 2002-2007 ACADEMY OF FINLAND BIENNIAL REPORT 2002 - 2003 Department of Computer Science Laboratory of Computer and University of Helsinki Information Science Helsinki University of Technology Table of contents Preface .................................................................................................................................3 1. Progress of research work ...............................................................................................4 1.1. Data mining and machine learning ..........................................................................5 1.2. Computational methods in medical genetics and systems biology ..........................8 1.3. Combinatorial pattern matching and information retrieval ....................................11 1.4. Computational Structural Biology..........................................................................13 1.5. PhD Theses.............................................................................................................14 2. Changes in research strategy and research plans...........................................................17 3. Personnel .......................................................................................................................18 3.1. Summary.................................................................................................................18 3.2. Prizes and scientific honours received by researchers of the unit in 2002 - 2003..19 3.3. International positions of trust held by researchers of the unit in 2002 - 2003......19 3.4. Domestic positions of trust held by researchers of the unit in 2002 – 2003 ..........23 3.5. Mobility of researchers...........................................................................................24 4. Publications and other outcomes...................................................................................27 4.1. Articles in international scientific journals with referee practice...........................27 4.2. Articles in international edited works and conference proceedings with referee practice...................................................................................................................30 4.3. Articles in Finnish scientific journals with referee practice...................................38 4.4. Articles in Finnish edited works and conference proceedings with referee practice ................................................................................................................................38 4.5. Scientific monographs published abroad................................................................39 4.6. Other scientific publications...................................................................................39 4.7. Patents.....................................................................................................................41 4.8. Computer programs (and algorithms) ....................................................................41 4.10. Lectures and visiting lectures ...............................................................................42 4.11. Radio and television programmes and articles popularising science ...................46 4.12. Other outcomes: international conferences ..........................................................46 4.13. Degrees.................................................................................................................47 5. Funding of the center 2002-2003 ..................................................................................49 APPENDIX: List of personnel 2003 .................................................................................50 2 Preface The Academy of Finland granted to the From Data to Knowledge (FDK) research unit the status of a national Center-of-Excellence from January 1, 2002. The activities of the unit have, however, much longer history, dating back at least to early 1990's when some key- researchers of the unit started to collaborate. The vision has been from the beginning to build on our core competence in the algorithmics of combinatorial pattern matching and data mining, and apply it on novel problems in data analysis. With the prestigious new status our development and expansion has been even stronger than was expected. The research activity as well as the size of the personnel has grown rapidly. The unit had about 40 members at the beginning of 2002 while the current number is approaching 60. Also the establishment of the new Basic Research Unit of the Helsinki Institute of Information Technology (HIIT/BRU) in 2002 has made our environment much stronger and attractive. The HIIT/BRU, located in the same building as the FDK, is directed by Professor Heikki Mannila who is also a member of our unit. In 2004, Sami Kaski will start in the new data analysis professor position at our host department. We all will also to move to the new Exactum Building at Kumpula Campus during 2004. I expect these events to further strengthen the FDK, too. The present report summarizes the results and new plans of the unit from its first two years of activity. Helsinki, February 15th 2004. Esko Ukkonen Contact information: Prof. Esko Ukkonen Department of Computer Science P.O.Box 26 (Teollisuuskatu 23) FIN –00014 University of Helsinki, Finland Tel. +358 9 191 44172 Fax +358 9 191 44441 E-mail: [email protected] www.cs.helsinki.fi/research/fdk/ 3 1. Progress of research work In the original plan the research profile of the FDK unit was summarized as follows: Collection of raw data has in many areas of industry and research become easier than previously. Molecular biology produces long sequences of biological information; environmental satellites provide a wealth of data, process monitoring gives heaps of measurements, and the Internet gives easy access to a wide variety of data sources. Similar advances in the methods that provide useful information or knowledge from the data have not matched this overwhelming increase in the availability of data. The “From Data to Knowledge” (FDK) research unit develops methods for forming useful knowledge from large masses of data. The unit operates in a multidisciplinary fashion, integrating in its research group’s excellence in discrete algorithms, statistical techniques and application sciences. The major methodological tools of the research unit are combinatorial pattern matching and data mining. The combination of these two is unique in the world. The work combines conceptual advances, algorithmic, statistical and analytical methods, and empirical work: theory and practice go hand in hand. The results of the unit have been applied in, e.g., molecular biology, process industry, telecommunications, genetics, ecology, and natural language processing. The results have attracted wide international attention. Many concepts created by the group are in use in the scientific community, and they are presented in textbooks. Software that incorporates methods invented at the unit has been commercialized in several countries. The main themes in the planned activity of the FDK unit are efficient algorithms, data mining and combinatorial pattern matching, and the analysis of sequential and many-dimensional data as well as applications in computational molecular biology, bioinformatics, telecommunications and natural language technology. The research of the unit can be viewed as an intertwined combination of four major projects or themes: I: Data mining and machine learning; II: Computational methods in medical genetics and systems biology; III: Combinatorial pattern matching and information retrieval; IV: Computational structural biology. The projects are highly connected: basic research of computational methods for some specific applications occurs in each of the four. Similarly, the topics of discrete algorithms and probabilistic approaches occur repeatedly. The projects also share many researchers. Below, the subgroups belonging to each of the themes I-IV report briefly on the results and new plans. The subgroups are lead by the senior members of the unit: Helena Ahonen- Myka, Tapio Elomaa, Jaakko Hollmén, Heikki Mannila, Hannu Toivonen and Esko Ukkonen. Also two of our post-docs, Kjell Lemström and Juho Rousu, have their own subgroups. 4 1.1. Data mining and machine learning Group Ahonen-Myka Members: Helena Ahonen-Myka, Lili Aunimo, Martin Fluch (-06/03), Oskari Heinonen, Kaisa Kostiainen (-05/03), Reeta Kuuskoski, Miro Lehtonen, Greger Lindén, Juha Makkonen, Renaud Petit, Jussi Piitulainen, Andrei Popescu (-07/03), Marko Salmenkivi, Otso Virtanen (-12/02) We have studied the information retrieval related problems of first story detection and topic tracking [47, 71, 106, 107, 108, and 133]. The first story detection task is about spotting new, previously unreported real-life events from online news-feed, while the topic tracking attaches a document to a previously detected event. We have addressed these problems by extracting locations, proper names, temporal expressions and normal terms from documents, and assigning weights for these semantic classes. The weights are learned from a training set that contains pre-classified documents. We have also proposed new similarity measures based on semantic classes. In our experiments on a Finnish online news-stream corpus, we have found that the use of semantic classes improves the performance significantly. We have also started to experiment with commonly
Load more

Recommended publications
  • Esko Ukkonen
    Curriculum Vitae: Esko Ukkonen Esko Ukkonen Professor of Computer Science and Head of the Department of Computer Science Department of Computer Science P.O.Box 68 (Gustav Hallstr¨ omin¨ katu 2b) FIN–00014 University of Helsinki, Finland Tel.: +358-9-19151280, fax.: +358-9-19151120, email: [email protected].fi Home page: www.cs.helsinki.fi/u/ukkonen/ Personal data Full name: Esko Juhani Ukkonen. Born on January 26th, 1950, in Savonlinna, Finland. Citizen of Finland. Married, two grown–up children. Academic Degrees Ph.D. (computer science): University of Helsinki, 1978. (PhD Thesis accepted Nov 24, 1977.) Phil.Lic. (computer science): University of Helsinki, 1976. M.Sc. (mathematics): University of Helsinki, 1973. Present employment and positions Professor of Computer Science, University of Helsinki, 1985–. Director of National Center–of–Excellence in Algorithmic Data Analysis of the Academy of Finland, 2002 –. Head of the Department of Computer Science, Univ of Helsinki, 2010—. Docent of Theory of Computing, Helsinki University of Technology, 1989–. Earlier positions Research Director of the Basic Research Unit of the Helsinki Institute for Information Technol- ogy (HIIT/BRU), 2004 – 2008. Academy Professor, Academy of Finland, 1999–2004 (5 year term). Head of the Department of Computer Science, Univ of Helsinki, 1998–99. Associate Professor of Computer Science, University of Helsinki, 1981–1985. Junior Research Fellow, Academy of Finland, 1980–1981. Docent (Computer Science), University of Helsinki, 1979–1981. Assistant Professor (yliassistentti) of Computer Science, University of Helsinki, 1978–1981. Assistant, instructor and research associate, University of Helsinki, 1973–1978. Visiting positions Universitat¨ Bielefeld, Technische Fakultat,¨ Oct – Nov 1994.
    [Show full text]
  • Approximate String Matching with Reduced Alphabet
    Approximate String Matching with Reduced Alphabet Leena Salmela1 and Jorma Tarhio2 1 University of Helsinki, Department of Computer Science [email protected] 2 Aalto University Deptartment of Computer Science and Engineering [email protected] Abstract. We present a method to speed up approximate string match- ing by mapping the factual alphabet to a smaller alphabet. We apply the alphabet reduction scheme to a tuned version of the approximate Boyer– Moore algorithm utilizing the Four-Russians technique. Our experiments show that the alphabet reduction makes the algorithm faster. Especially in the k-mismatch case, the new variation is faster than earlier algorithms for English data with small values of k. 1 Introduction The approximate string matching problem is defined as follows. We have a pat- tern P [1...m]ofm characters drawn from an alphabet Σ of size σ,atextT [1...n] of n characters over the same alphabet, and an integer k. We need to find all such positions i of the text that the distance between the pattern and a sub- string of the text ending at that position is at most k.Inthek-difference problem the distance between two strings is the standard edit distance where substitu- tions, deletions, and insertions are allowed. The k-mismatch problem is a more restricted one using the Hamming distance where only substitutions are allowed. Among the most cited papers on approximate string matching are the classical articles [1,2] by Esko Ukkonen. Besides them he has studied this topic extensively [3,4,5,6,7,8,9,10,11].
    [Show full text]
  • 253667 Historiikki KANSI.Indd
    Opista tieteeksi – Suomen tietojenkäsittelytieteiden historia Jukka Paakki Julkaisija: Tietojenkäsittelytieteen Seura ry Tekijät (työryhmässä sen nimi, puheenjohtaja ja sihteerit) Jukka Paakki Julkaisun nimi: Julkaisun laji: Opista tieteeksi – Suomen Historiateos tietojenkäsittelytieteiden historia Tiivistelmä: Tietojenkäsittelyoppi-niminen oppiaine tuli Suomen yliopistoihin ja korkeakou- luihin 1960-luvulla. Suomen ensimmäinen tietojenkäsittelyopin laitos ja pro- fessorinvirka perustettiin Tampereen yliopiston edeltäjään, Yhteiskunnalliseen korkeakouluun vuonna 1965. 1960-luvulla tietojenkäsittelyopin opetus käynnis- tettiin myös Helsingin yliopistossa, Jyväskylän yliopistossa, Teknillisessä korkea- koulussa, Oulun yliopistossa ja Turun yliopistossa. Alkuvuosina toiminta painot- tui yhteiskunnan tarvitsemien asiantuntijoiden koulutukseen, kunnes 1970-lu- vulla käynnistyi myös tietojenkäsittelyopin tieteellinen tutkimustoiminta. Tie- teenala laajeni nopeasti siinä määrin, että se profiloitui kolmeksi luonteeltaan erityyppiseksi haaraksi, joita ryhdyttiin 1990-luvulla kutsumaan tietojenkäsit- telytieteeksi, tietotekniikaksi ja tietojärjestelmätieteeksi, yhteiseltä nimeltään tietojenkäsittelytieteet. Tässä teoksessa käydään läpi Suomen tietojenkäsittelytieteiden opetuksen ja tutkimuksen historiaa 1960-luvulta aina nykypäiviin saakka. Kuvauksessa noste- taan esiin paitsi alan akateemisen koulutuksen ensimmäisiä linjauksia ja tieteel- lisen tutkimustoiminnan päätuloksia myös opetuksen ja tutkimuksen keskeisiä uranuurtajia. Teoksessa käydään
    [Show full text]
  • Computer Science at the University of Helsinki 1993 1
    Computer Science at the University of Helsinki 1993 1 1. Overview The Department of Computer Science was founded in 1967 when the first full professorship in computer science was established at the University of Helsinki. It is within the Faculty of Science, along with the departments of Mathematics, Physics, Chemistry, and others. Our current teaching faculty (January, 1994) comprises 46 full time teachers. It can be categorized using American academic terminology: 3 full professors (Mannila, Tienari, Ukkonen), 5 associate professors (Mäkelä, Sippu, three open positions), 14 assistant professors (5 research oriented "senior assistants" and 9 teaching oriented "lecturers"), 24 teaching assistants (12 research oriented "assistants" and 12 teaching oriented "instructors"). We also employ approximately 15 of our students in teaching on a part−time basis. Eight senior experts are also associated with the department, these being so−called "docents", who work mainly outside the university but occasionally give courses or supervise theses in the area of their speciality. Approximately 20 research positions are financed from outside sources. We also have a staff of 10 persons. The department annually admits 200 students to major in computer science. The students are selected according to their standing in a national student examination. The number of completed M.Sc. degrees (5 year degree) was 35 in 1991, 27 in 1992, and 37 in 1993. The study time for a M.Sc. degree ranges from five to eight years. Many of our students work in industry, which slows down or stops the progress of their studies. Fairly frequently our students, after having acquired the basic skills in computer Computer Science at the University of Helsinki 1993 2 science, redirect their studies by transferring to the Helsinki University of Technology or some other educational institution.
    [Show full text]
  • Lecture Notes in Computer Science 6060 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan Van Leeuwen
    Lecture Notes in Computer Science 6060 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Alfred Kobsa University of California, Irvine, CA, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Germany Madhu Sudan Microsoft Research, Cambridge, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany Tapio Elomaa Heikki Mannila Pekka Orponen (Eds.) Algorithms and Applications Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday 13 Volume Editors Tapio Elomaa Tampere University of Technology Department of Software Systems P. O. Box 553, 33101 Tampere, Finland E-mail: [email protected].fi Heikki Mannila Aalto University School of Science and Technology Department of Information and Computer Science P.O. Box 17800, 00076 Aalto, Finland E-mail: heikki.mannila@aaltouniversity.fi Pekka Orponen Aalto University School of Science and Technology Department of Information and Computer Science P.O. Box 15400, 00076 Aalto, Finland E-mail: pekka.orponen@tkk.fi Cover illustration: Artwork by Jussi Ukkonen, Finland (2010) Library of Congress Control Number: 2010924186 CR Subject Classification (1998): I.2, H.3, J.3, I.5, H.4-5, F.2 LNCS Sublibrary: SL 1 – Theoretical Computer Science and General Issues ISSN 0302-9743 ISBN-10 3-642-12475-5 Springer Berlin Heidelberg New York ISBN-13 978-3-642-12475-4 Springer Berlin Heidelberg New York This work is subject to copyright.
    [Show full text]
  • Annual Report 2014
    Helsinki Institute for Information Technology HIIT Annual Report 2014 Helsinki Institute for Information Technology HIIT Tietotekniikan tutkimuslaitos HIIT Forskningsinstitutet för Informationsteknologi HIIT Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and the University of Helsinki for basic and applied research on information technology. HIIT’s mission is to conduct top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society. HIIT is a strategic partnership of the two universities to take Helsinki IT to the world class and keep it there. HIIT’s research is interdisciplinary, operating across departments and with industry. The current foci of research are computational modelling and data analysis, and ubiquitous ICT in the modern networked world. HIIT groups belong to several national Centers of Excellence and co-operate with the information industry and with sciences applying information technology. HIIT works in a multidisciplinary way, with scientists from computer, natural, behavioural and social sciences, as well as from humanities and design. HIIT partners with several international and Finnish companies as well as with universities and research institutions in Europe, North America and Asia. HIIT was founded in 1999 and now has a budget of over 10 million euros, realising in total about 134 person-years of work by almost 300 researchers. HIIT is located in two different sites in the Helsinki Metropolitan area: at Aalto University’s Otaniemi campus and University of Helsinki’s Kumpula campus, co-located with several departments at both places. HIIT’s operating principle is that it adds to other departments’ activities, instead of competing with them.
    [Show full text]
  • International Evaluation of Research and Doctoral Training at the University of Helsinki 2005–2010: RC-Specific Evaluation Of
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Helsingin yliopiston digitaalinen arkisto INTERNATIONAL EVALUATION OF RESEARCH AND DOCTORAL TRAINING AT THE UNIVERSITY OF HELSINKI 2005–2010 RC-Specific Evaluation of ALKO – Algorithms and Data Analysis Seppo Saari & Antti Moilanen (Eds.) Evaluation Panel: Natural Sciences INTERNATIONAL EVALUATION OF RESEARCH AND DOCTORAL TRAINING AT THE UNIVERSITY OF HELSINKI 2005–2010 RC-Specific Evaluation of ALKO – Algorithms and Data Analysis Seppo Saari & Antti Moilanen (Eds.) University of Helsinki Administrative Publications 80/70 Evaluations 2012 Publisher: University of Helsinki Editors: Seppo Saari & Antti Moilanen Title: Type of publication: International Evaluation of Research and Doctoral Training at the University of Evaluations Helsinki 2005–2010 : RC-Specific Evaluation of ALKO – Algorithms and Data Analysis Summary: Researcher Community (RC) was a new concept of the participating unit in the evaluation. Participation in the evaluation was voluntary and the RCs had to choose one of the five characteristic categories to participate. Evaluation of the Researcher Community was based on the answers to the evaluation questions. In addition a list of publications and other activities were provided by the TUHAT system. The CWTS/Leiden University conducted analyses for 80 RCs and the Helsinki University Library for 66 RCs. Panellists, 49 and two special experts in five panels evaluated all the evaluation material as a whole and discussed the feedback for RC-specific reports in the panel meetings in Helsinki. The main part of this report is consisted of the feedback which is published as such in the report. Chapters in the report: 1.
    [Show full text]
  • Helsinki Institute for Information Technology HIIT Annual Report 2005
    Helsinki Institute for Information Technology HIIT Annual Report 2005 Päivi Saarinen, Martti Mäntylä, and Esko Ukkonen (eds.) Helsinki Institute for Information Technology HIIT Tammasaarenkatu 3, Helsinki, Finland PO BOX 9800 FI-02015 TKK Finland Gustaf Hällströmin katu 2b PO BOX 68 FI-00014 University of Helsinki Finland Web http://www.hiit.fi E - mail [email protected] Copyright © 2006 by HIIT HIIT Publications 2006-02 ISBN 951-22-8194-5 (printed) ISBN 951-22-8195-3 (electronic) ISSN 1458-9451 (printed) ISSN 1458-946X (electronic) Picaset Oy Helsinki 2006 i ii EXECUTIVE SUMMARY During its sixth year of operation HIIT continued its work on the scale already established. Its total budget for 2005 was 5.9 million Euro and personnel 140 researchers and staff. The publication record developed positively: the institute produced some 150 international publications. The Advanced Research Unit was located in HTC Helsinki in Ruoholahti and the Basic Research Unit on University of Helsinki Kumpula campus and Helsinki University of Technology Otaniemi campus. The strategy work already commenced during 2004 was completed during the first half of 2005 with the decision to continue the operations of the institute with its present structure for another three years 2006-2008. In this time, the two units will align their operations so that they can be merged from 2009 onwards. The research programme structure of the ARU was updated by merging the old programmes Digital Economy and Media Convergence with a new programme Network Society under the leadership of Dr Marko Turpeinen. The core activity of the new programme is the Mobile Content Communities project already launched in 2004.
    [Show full text]
  • Lipics-WABI-2018-0.Pdf (0.3
    18th International Workshop on Algorithms in Bioinformatics WABI 2018, August 20–22, 2018, Helsinki, Finland Edited by Laxmi Parida Esko Ukkonen LIPIcs – Vol. 113 – WABI2018 www.dagstuhl.de/lipics Editors Laxmi Parida Esko Ukkonen IBM T. J. Watson Research Center University of Helsinki [email protected] [email protected] ACM Classification 2012 Applied computing → Bioinformatics, Theory of computation → Design and analysis of algorithms, Mathematics of computing → Probabilistic inference problems, Computing methodologies → Machine learning approaches ISBN 978-3-95977-082-8 Published online and open access by Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing, Saarbrücken/Wadern, Germany. Online available at https://www.dagstuhl.de/dagpub/978-3-95977-082-8. Publication date August, 2018 Bibliographic information published by the Deutsche Nationalbibliothek The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data are available in the Internet at https://dnb.d-nb.de. License This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC-BY 3.0): https://creativecommons.org/licenses/by/3.0/legalcode. In brief, this license authorizes each and everybody to share (to copy, distribute and transmit) the work under the following conditions, without impairing or restricting the authors’ moral rights: Attribution: The work must be attributed to its authors. The copyright is retained by the corresponding authors. Digital Object Identifier: 10.4230/LIPIcs.WABI.2018.0 ISBN 978-3-95977-082-8 ISSN 1868-8969 https://www.dagstuhl.de/lipics 0:iii LIPIcs – Leibniz International Proceedings in Informatics LIPIcs is a series of high-quality conference proceedings across all fields in informatics.
    [Show full text]
  • Annual Report 2016 Helsinki Institute for Information Technology HIIT Tietotekniikan Tutkimuslaitos HIIT Forskningsinstitutet För Informationsteknologi HIIT
    Helsinki Institute for Information Technology HIIT Annual Report 2016 Helsinki Institute for Information Technology HIIT Tietotekniikan tutkimuslaitos HIIT Forskningsinstitutet för Informationsteknologi HIIT Helsinki Institute for Information Technology HIIT is a joint research institute of Aalto University and University of Helsinki for basic and applied research in information technologies. HIIT is a strategic partnership of the two universities with a mission to support top-level research, seamlessly moving between fundamental methods and technologies to novel applications and their impact on people and society, and combining top ICT research of the two universities into a positive collaborating critical mass that supports a strong Helsinki ICT brand. HIIT groups belong to several national Centers of Excellence and co-operate with the information industry and with sciences applying information technology. HIIT works in a multidisciplinary way, with scientists from computer, natural, behavioural and social sciences, as well as from humanities and design. HIIT partners with several international and Finnish companies as well as with universities and research institutions in Europe, North America and Asia. The current foci of research are computational modelling and data analysis, and ubiquitous ICT in the modern networked world. HIIT is located in two different sites in the Helsinki Metropolitan area: at the Otaniemi campus of Aalto University and at the Kumpula campus of University of Helsinki. HIIT is currently led by Professor Petri Myllymäki, who started his 5-year term as the Director of HIIT in August 2015. HIIT was founded in 1999 and has nowadays an annual budget of approximately 10 million euros. HIIT’s research is funded by Aalto University, the University of Helsinki, Tekes, the Academy of Finland, the European Union, private companies, and foundations financing Finnish hi-tech research.
    [Show full text]
  • Curriculum Vitae: Esko Ukkonen
    Curriculum Vitae: Esko Ukkonen Esko Ukkonen Professor of Computer Science and Vice-Dean (research) of the Faculty of Science Department of Computer Science P.O.Box 68 (Gustav Hallstr¨ omin¨ katu 2b) FIN–00014 University of Helsinki, Finland Tel.: +358 294151280, fax.: +358 294151120, email: [email protected].fi Home page: www.cs.helsinki.fi/u/ukkonen/ Personal data Full name: Esko Juhani Ukkonen. Born on January 26th, 1950, in Savonlinna, Finland. Citizen of Finland. Married, two grown–up children. Academic Degrees Ph.D. (computer science): University of Helsinki, 1978. (PhD Thesis accepted Nov 24, 1977.) Phil.Lic. (computer science): University of Helsinki, 1976. M.Sc. (mathematics): University of Helsinki, 1973. Present employment and positions Professor of Computer Science, University of Helsinki, 1985–. Vice-Dean of Research of the Faculty of Science, Univ of Helsinki, 2014—. Docent of Theory of Computing, Helsinki University of Technology / Aalto University, 1989–. Earlier positions Director of National Center–of–Excellence in Algorithmic Data Analysis of the Academy of Finland, 2002–13. Head of the Department of Computer Science, Univ of Helsinki, 2010–13. Research Director of the Basic Research Unit of the Helsinki Institute for Information Technol- ogy (HIIT/BRU), 2004 – 2008. Academy Professor, Academy of Finland, 1999–2004 (5 year term). Head of the Department of Computer Science, Univ of Helsinki, 1998–99. Associate Professor of Computer Science, University of Helsinki, 1981–1985. Junior Research Fellow, Academy of Finland, 1980–1981. Docent (Computer Science), University of Helsinki, 1979–1981. Assistant Professor (yliassistentti) of Computer Science, University of Helsinki, 1978–1981. Assistant, instructor and research associate, University of Helsinki, 1973–1978.
    [Show full text]