Information

AIM & Scope

The aim of the two-day workshop is to expose young and experienced researchers to cutting edge learning techniques developed throughout the last years within different communities. Driven by the increasing interest towards data-driven solutions to many engineering problems, the workshop aims at paving the way for the development and use of learning techniques that benefit from physical/theoretical or performance-oriented insights available a priori. The workshop will comprise talks spanning different domains and methodologies, showing how priors on the application domain or on features of the system/parameters to be learned, along with machine-human interactions, can be exploited to better extrapolate information from raw data.

With an eye on both theory and applications, the workshop will provide insights on new studies on aware learning, that are actively explored within different communities. Meanwhile, the talks will highlight the challenges and issues that have to be handled to solve these problems, so as to allow researchers and students to catch sight of relevant and promising research directions. By being thought for a broad audience, the workshop will foster collaborations between researcher stemming from potentially different backgrounds, towards new methods for aware learning and the future generation of data-enabled strategies. To this end, we are bringing together a diverse and strong group of internationally recognized researchers from the academia.

target audience

The workshop is aimed for graduate students and researchers that already work at developing system identification, machine learning techniques and human-aware control, getting them exposed to recent advances and open research directions in these fields. Since the workshop will provide the fundamentals for the audience to achieve a deep level of understanding of all topics, it is also intended for graduate student and researchers that are starting to approach data-based techniques. The workshop is also aimed at attracting those students and researchers that are interested in exploiting aware learning strategies for practical applications, with emphasis given on providing hints towards their use and showing their potential in relevant application sectors. Indeed, attendees working on different fields (e.g., robotics) are targeted by the workshop, since the applications presented in the talks span different domains.

The methodologies and frameworks considered in the workshop are quite broad. It would thus be beneficial for the attendees to have at least a superficial familiarity with the main tools and concepts at the basis of classical system identification and learning techniques. Nonetheless, no prerequisites are specifically needed, since the talks are expected to be self-contained. As such, all the required fundamentals will be provided in each talk for the audience to grasp its main concepts and methods, leading to a deep understanding of all techniques.

talks

The workshop brings together outstanding researchers in the fields of system identification, machine learning and human-aware control, from leading universities in Europe and America, and promises a balanced and broad overview of different aware-learning techniques. Please, see here for presentations titles and abstracts.