Esko Ukkonen
Esko Ukkonen | |
|---|---|
| Born | January 26, 1950 |
| Citizenship | Finland |
| Alma mater | University of Helsinki |
| Known for | Ukkonen's algorithm |
| Scientific career | |
| Fields | String algorithms |
| Institutions | University of Helsinki |
| Doctoral advisor | Martti Tienari |
| Doctoral students | Heikki Mannila |
Esko Juhani Ukkonen (born 1950) is a Finnish theoretical computer scientist known for his contributions to string algorithms, and particularly for Ukkonen's algorithm[1] for suffix tree construction. He is a professor emeritus of the University of Helsinki.
Biography[edit]
Ukkonen earned his PhD from the University of Helsinki in 1978, where he has been a full professor since 1985. He was the head of the computer science department at the University of Helsinki in 1998--1999 and in 2010--2013, and an Academy professor of the Academy of Finland in 1999--2004. He is the Editor-in-Chief of the Nordic Journal of Computing since 1993.
Ukkonen is a First Class Knight of the Order of the White Rose of Finland (2000). He is a member of Finnish Academy of Science and Letters since 2000, and a foreign member of Estonian Academy of Sciences. A festschrift in his honour was published by Springer in the Lecture Notes in Computer Science book series.[2] He holds an honorary doctorate from Aalto University (2014).[3]
References[edit]
- ^ Ukkonen, E. (1995). "On-line construction of suffix trees". Algorithmica. 14 (3): 249–260. CiteSeerX 10.1.1.10.751. doi:10.1007/BF01206331. ISSN 0178-4617. S2CID 6027556.
- ^ Elomaa, Tapio; Mannila, Heikki; Orponen, Pekka (2010). Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday. Lecture Notes in Computer Science. Vol. 6060. CiteSeerX 10.1.1.697.529. doi:10.1007/978-3-642-12476-1. ISBN 978-3-642-12475-4. ISSN 0302-9743.
- ^ "Department of Economics | Aalto University". 13 December 2023.
External links[edit]
- Official website
- Esko Ukkonen at DBLP Bibliography Server
- Esko Juhani Ukkonen at the Mathematics Genealogy Project
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