The purpose of this symposium is to bring together researchers, practitioners, students, and industry experts in the fields of machine learning, data mining, and related areas to present recent advances, to discuss open research questions, and bridge the gap between data analytics research and industry needs on certain concrete problems.

The Machine Learning and Data Analytics Symposium (MLDAS) will serve as a platform for the exchange of ideas, identification of important and challenging applications, and discovery of possible synergies.

MLDAS will address the topics of interest through both invited and contributed talks describing: 

• Computer vision and perception
• Modeling uncertainty for increased robustness
• Human-computer decision systems research
• Reinforcement learning
• Artificial Intelligence for space applications

The symposium program will consist of presentations by invited speakers from both academia and industry, and by the authors of the papers submitted to the symposium. 

In addition, there will be multiple panel discussions to debate important research and strategic problems and applications.

Organization

MLDAS is organized by the Qatar Computing Research Institute (QCRI) and by The Boeing Company.

Chairs

MLDAS is co-chaired by Sanjay Chawla (QCRI), Dr. Mohammad Amin Sadeghi (QCRI) and Dragos Margineantu (Boeing Research and Technology).

Please click here to contact the MLDAS co-chairs.

Contacts

To contact the MLDAS symposium organizers on any matter, please check this page.

Speakers:

Agenda and Abstracts

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