Takahiro Hara

Full professor in the Department of Multimedia Engineering, Osaka University

Takahiro Hara

Full professor in the Department of Multimedia Engineering, Osaka University

Biography

Takahiro Hara received the BE, ME, and Dr.E degrees in information systems engineering from Osaka University, Osaka, Japan, in 1995, 1997, and 2000, respectively.
Currently, he is a full professor in the Department of Multimedia Engineering, Osaka University. His research interests include database systems, distributed systems, mobile computing, and social computing.
He has published more than 490 Journal and international conference papers in the areas of databases, mobile computing, peer-to-peer systems, WWW, social computing, and wireless networking.
He served as a General Chair of IEEE International Symposium on Reliable Distributed Systems (SRDS’14) and International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous’16). He served and is serving as a Program Chair of a large number of international conferences including IEEE International Conferences on Mobile Data Management (MDM’06, 10 and 18), Mobiquitous’13, and IEEE SRDS’12. He served and is serving as a Program Committee Member of more than 200 international conferences including top-ranked ones such as VLDB, WWW and CIKM.
He is a distinguished scientist of ACM and a senior member of IEEE.

Keynote title: Cross-domain Approaches for User Activity Prediction in On-line and Real Worlds

In smart cities, varieties of services in both on-line and off-line (real) worlds support people’s daily life.
To provide effective personalized services, cross-domain approaches for predicting user activities are promising, since data obtained from different service domains cover a wide range of user activities.
In this talk, we will present our recent work on cross-domain user activity prediction.
In particular, we focus on two domains, Web advertisement and E-commerce domains, and present some user purchase prediction models, which recommend products in the E-commerce domain to users in the Web advertisement domain.
We also show the results of our preliminary analysis to investigate the impact of COVID-19 on user activities in both on-line and off-line worlds.
Finally, we will talk about our future directions.

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