Prof. Hannu Haba Toivonen works in the areas of artificial intelligence and data science, more specifically in computational creativity and data mining. His current research focus is on using data science for computational creativity, on self-aware and creative systems, and on analysis and generation of natural language.
I am Professor of Computer Science at the Department of Computer Science of the University of Helsinki. I lead the Discovery Research Group, and I'm affiliated with HIIT and FCAI. I teach in the Data Science MSc programme and Computer Science MSc and BSc programmes. I am also Vice-Dean for Academic Affairs of the Faculty of Science.
Professor Hannu Toivonen is a leading expert in data mining and computational creativity. He has introduced and solved several novel research problems in the area of data mining since the field was born in early 1990s; his definitions and algorithms have become standard references and textbook material in the field. He has since developed applications of data mining for gene mapping, context-aware computation, document analysis and summarization, computational creativity, and natural language generation.
Hannu Toivonen obtained his PhD in Computer Science in 1996 and has been Professor at the University of Helsinki since 2002. Hannu Toivonen is Vice Dean of the Faculty of Science at the University of Helsinki since 2018. He was Head of the Department of Computer Science during 2007-9 (170 FTE staff), director of the Helsinki Doctoral Programme in Computer Science during 2007-11 (80 PhD students) and founding director of the Data Science MSc programme during 2016-2018. He has secured external funding for over 6 MEUR, including five EU projects and numerous domestic projects. Prof. Toivonen also has six years of industrial experience from Nokia Research Centre. He holds ten patents.
Hannu Toivonen has 200 international refereed publications. According to Google Scholar, he has been cited over 20,000 times and he has an h-index over 50. He served as Programme Chair of IEEE ICDM 2014, a leading data mining conference, and of ICCC 2015, the International Conference on Computational Creativity. He is Associate Editor of the forthcoming Journal of Computational Creativity, as well as Editorial Board member of the leading journals and a regular Senior Programme Committee member of the leading conferences in his research areas.
The Digital Poetry Machine Supporting Lower Secondary Students’ Poetry Writing
Kangasharju, A. I., Ilomäki, L., Toom, A., Lakkala, M., Kantosalo, A. & Toivonen, H., 2021, Journal of Literacy and Technology (Accepted/In press)
Computational Generation of Slogans
Alnajjar, K. & Toivonen, H., 2020, Natural Language Engineering. E-pub ahead of print.
Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case
Martins, P., Goncalo Oliveira, H., Carlos Gonçalves, J., Cruz, A., Cardoso, A., Žnidaršič, M., Lavrač, N., Linkola, S., Toivonen, H., Hervás, R., Méndez, G. & Gervás, P., 8 Feb 2019, IBM Journal of Research and Development. 63, 1, p. 9:1-9:17 17 p., 9.
Conceptual Representations for Computational Concept Creation
Xiao, P., Toivonen, H., Gross, O., Cardoso, A., Correia, J., Machado, P., Martins, P., Goncalo Oliveira, H., Sharma, R., Pinto, A. M., Diaz, A., Francisco, V., Gervás, P., Hervas, R., León, C., Forth, J., Purver, M., Wiggins, G. A., Miljkovic, D., Podpecan, V. & 8 others, Feb 2019, ACM Computing Surveys. 52, 1, 33 p., 9.
News Automation: The rewards, risks and realities of 'machine journalism'
Linden, T. C-G. (ed.), Tuulonen, H. E. (ed.), Bäck, A., Diakopoulos, N., Granroth-Wilding, M., Haapanen, L., Leppänen, L. J., Melin, M., Moring, T. A., Munezero, M. D., Siren-Heikel, S. J., Södergård, C. & Toivonen, H., Mar 2019, Frankfurt: World Association of Newspapers and News Publishers, WAN-IFRA. 55 p.
Towards Transformational Creation of Novel Songs
Toivanen, J. M., Järvisalo, M., Alm, O., Ventura, D., Vainio, M. & Toivonen, H., 2 Jan 2019, Connection Science. 31, 1, p. 4-32 29 p.