Keynote speakers

Luca Oneto

Luca Oneto is Associate Professor in Computer Engineering at University of Genoa. He received his BSc and MSc in Electronic Engineering at the University of Genoa, Italy and received his PhD from the same university in the School of Sciences and Technologies for Knowledge and Information Retrieval with the thesis “Learning Based On Empirical Data”.
He has obtained the Italian National Scientific Qualification for the role of Associate Professor in Computer Engineering, and the one in Computer Science. He has worked as Assistant Professor in Computer Engineering at University of Genoa. He is co-founder of the spin-off ZenaByte s.r.l. He obtained the Italian National Scientific Qualification for the role of Full Professor in Computer Science and Computer Engineering, and became Associate Professor in Computer Science at University of Pisa. Currently he is Associate Professor in Computer Engineering at University of Genoa.

He has been involved in several H2020 projects (S2RJU, ICT, DS) and he has been awarded with the Amazon AWS Machine Learning and Somalvico (best Italian young AI researcher) Awards. His first main topic of research was the Statistical Learning Theory with particular focus on the theoretical aspects of the problems of (Semi) Supervised Model Selection and Error Estimation and the second main topic is Data Science with particular reference to the problem of Trustworthy AI and the solution of real life problems by exploiting and improving the most recent Learning Algorithms and Theoretical Results in the fields of Machine Learning and Data Mining.

Mari Holopainen

Mari Holopainen is Member of the Finnish Parliament and a long- time city councilor in Helsinki, representing the Greens. Before, she worked as a doctoral researcher at Aalto University. She has worked in multiple research positions and managed multidiscliplinary collaboration among universities.

Her research interests include future orientations in organisations, scenarios and strategy; and consumers and participation innovation and design. Her international research experience includes Saïd Business School, University of Oxford (2013) and University of California, Berkeley, Haas Business School (2009) as a visiting student researcher.

At the parliament she is a member of the Commerce Committee and the Committee for the Future as well as a member of the Parliamentary Supervisory Council of the Bank of Finland. She acts as a chairperson for Tutkas, the association consisting of members of parliament and researchers that enhances the use of scientific knowledge in decision-making.

(Picture: Susanna Kekkonen)

Sirpa Lassila

Sirpa Lassila is Principal Lecturer in service business and innovation at Haaga-Helia University of Applied Sciences. For over 20 years she has worked in innovation projects and designed customer driven solutions both in private and public sector alongside her teaching activities. She has also several years of experience in fast moving consumer goods.

In her practical projects, Sirpa Lassila utilizes both her service design and pedagogical competences. Currently, she works in two innovation projects creating new solutions for consumer business and event industry as well as serves as a task manager for entrepreneurship and design thinking programme in European University Ulysseus.

Sirpa Lassila gained a doctorate from University of Westminster (2020) with a dissertation topic “The role of causation, effectuation and bricolage in new service development processes”. She continues to maintain interest in service innovation and disruptive business model creation in entrepreneurial contexts from her PhD work. Furthermore, Sirpa Lassila has published several articles on service design, co-creation and learning.

Janne Kauttonen

Janne Kauttonen is Senior Reseacher at Haaga-Helia University of Applied Sciences. He received his MSc (2005) and PhD (2012) degrees in physics from the University of Jyväskylä, Finland. His PostDoc research at Aalto University (Finland) and Carnegie Mellon University (USA) included neuroimaging experiments, development of computational methods, data and statistical analyses.

Since 2019 he has worked as a researcher at Haaga-Helia University of Applied Sciences in fields of data science, applied machine learning, cognitive sciences and human-computer interaction.

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