Week in Macau for #IJCAI2019


Last week I was off to Macau, China for attending IJCAI 2019 one of the world top level conferences in Artificial Intelligence. In particular, I was invited to submit and attend the pre-conference workshop AI & Multimodal Analytics for Education (AIMA4EDU). I also attended another workshop on Human Activity Recognition, a Tutorial on TensorFlow2.0 and some the main conference presentations.

Although I have attended several conferences IJCAI was my first conference exclusively on Artificial Intelligence - definetly an interesting experience.

The conference had more than 3500 attendees and took place in Macao, an indipendent city-state in south of China, former Portugese colony. The conference was in the Venetian Hotel, the world biggest Casino. There were dozens of parallel sessions, paper and poster presentations, an expo area with stands from Chinese famous companies (Baidu, Alibaba, Huawei, Hitachi and so on) and non Chinese companies. There was a robot challenge, booths and demo exhibitions. IJCAI2019 was plenty of interesting activities revolving around the theme of Artificial Intelligence.

Lot of inputs, things to see in a enormous hotel venue, overcrowded with guests and conference participants. In few words IJCAI was challenging and intense experience.

In the gallery below you will get a glimpse of this unique experience.

Workshop AIMA4EDU

The workshop AIMA4EDU was aimed to apply AI techniques and multimodal learning analytics for understanding human learning in real-world educational contexts. The conference was organised by a team of international researchers, primarily from Australia and China.

A number of presentations were presented using different types of multimodal data, including EEG data, EDA, self reports, mobile tracking.

The point of view of multimodality was primarily from an AI technical standpoint. Emphasis was given on various AI techniques used with multimodal data as compared to practical applications in the domain of Learning.

Similarly to the AIAED conference that took place in May in Beijing, this workshop was also in cooperation with Squirrel AI Learning the Chinese organisation which provides adaptive education in China. KP Thai from SquirrelAI presented a new multimodal dataset called SAIL releases publically.

The dasated as well as the list of papers presented in the workshop is avaialble on workshop's webiste

Best Paper Award

With great surprise the Demo paper I submitted on the Multimodal Pipeline got the Best Paper Award. I am very flattered that our work is receiving international recognition. I consider to be a reward for the effort me and the team have put in it. Special thank you, of course, goes to my advisors Jan, Hendrik and Marcus who made this work possible with their contributions.

Receiving the award by prof. Zach Pardos

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

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