Solon Pissis
- Full Name
- Dr. S. Pissis
- Function(s)
- Scientific Staff Member
- Solon.Pissis@cwi.nl
- Telephone
- +31 20 592 4263
- Room
- M242
- Department(s)
- Life Sciences and Health
- Homepage
- https://homepages.cwi.nl/~solon/
Biography
Solon Pissis read Computer Science at the Department of Informatics and Telecommunications of the University of Athens (2003-2007) before completing his M.Sc in High-Performance Computing at the University of Edinburgh (2007-2008). He obtained his Ph.D in Computer Science from King's College London (2008-2012). He also holds a Postgraduate Certificate in Academic Practice in Higher Education from King's College London (2015-2016). He was a Research Associate in the Florida Museum of Natural History at the University of Florida and a Visiting Scientist in the Scientific Computing group at the Heidelberg Institute for Theoretical Studies (2012-2013). He was appointed Lecturer (2013) and then Senior Lecturer (2018) in Computer Science in the Department of Informatics at King's College London. In 2019 he joined the Life Sciences and Health research group at CWI, where he leads the Algorithms and Data Structures for Sequence Analysis subgroup. In 2020, he joined the Faculty of Science, Bioinformatics at the Vrije Universiteit Amsterdam as (part-time) Associate Professor.Research
His area of research within computer science is algorithms and data structures. Research topics he is interested in include algorithms and data structures on strings and graphs for pattern matching, indexing, comparison, and finding regularities. Applications thereof he is interested in include data mining, bioinformatics, data compression, and information retrieval. For more details, see the subgroup's webpage.
Publications
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Bernardini, G, Chen, H, Fici, G, Loukides, G, & Pissis, S. (2021). Reverse-safe data structures for text indexing. In Proceedings of the Workshop on Algorithm Engineering and Experiments (pp. 199–213). doi:10.1145/3461698
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Charalampopoulos, P, Chen, H, Christen, P, Loukides, G, Pisanti, N, Pissis, S, & Radoszewski, J. (2021). Pattern masking for dictionary matching. In International Symposium on Algorithms and Computation (pp. 65:1–65:19). doi:10.4230/LIPIcs.ISAAC.2021.65
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Zhong, H, Loukides, G, & Pissis, S. (2021). Clustering demographics and sequences of diagnosis codes. IEEE Journal of Biomedical and Health Informatics. doi:10.1109/JBHI.2021.3129461
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Conte, A., Grossi, R, Loukides, G, Pisanti, N, Pissis, S, & Punzi, G. (2021). Beyond the BEST Theorem: Fast assessment of Eulerian Trails. In Proceedings of Fundamentals of Computation Theory (pp. 162–175). doi:10.1007/978-3-030-86593-1_11
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Loukides, G, & Pissis, S. (2021). Bidirectional string anchors: A new string sampling mechanism. In Annual European Symposium on Algorithms (pp. 64:1–64:21). doi:10.4230/LIPIcs.ESA.2021.64
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Charalampopoulos, P, Kociumaka, T, Pissis, S, & Radoszewski, J. (2021). Faster algorithms for longest common substring. In Annual European Symposium on Algorithms (pp. 30:1–30:17). doi:10.4230/LIPIcs.ESA.2021.30
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Chen, H, Conte, A., Grossi, R, Loukides, G, Pissis, S, & Sweering, M.J.M. (2021). On breaking truss-based communities. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery & Data Mining (pp. 117–126). doi:10.1145/3447548.3467365
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Ayad, L.A.K, Badkobeh, G, Fici, G, Heliou, A, & Pissis, S. (2021). Constructing antidictionaries of long texts in output-sensitive space. Theory of Computing Systems, 65, 777–797. doi:10.1007/s00224-020-10018-5
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Mieno, T, Pissis, S, Stougie, L, & Sweering, M.J.M. (2021). String Sanitization Under Edit Distance: Improved and Generalized. In Proceedings of the 32nd Annual Symposium on Combinatorial Pattern Matching CPM 2021 (pp. 19:1–19:18).
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Bernardini, G, Marchetti Spaccamela, A, Pissis, S, Stougie, L, & Sweering, M.J.M. (2021). Constructing strings avoiding forbidden substrings. In Proceedings of the 32nd Annual Symposium on Combinatorial Pattern Matching CPM 2021 (pp. 9.1–9.18). doi:10.4230/LIPIcs.CPM.2021.9
Current projects with external funding
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Algorithms for PAngenome Computational Analysis (ALPACA)
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Pan-genome Graph Algorithms and Data Integration (PANGAIA)