Henrique Santos

Director, Semantic Applications - TWC

Email: oliveh@rpi.edu
Homepage: http://henriquesantos.org

View publications View presentations

Dr. Henrique Santos is the Director of Semantic Applications in the Tetherless World Constellation at Rensselaer Polytechnic Institute. His research focuses on knowledge representation, domain-specific reasoning, and explainable artificial intelligence. His expertise in conducting applied research has allowed his work to appear in top AI journals and conferences including Nature Machine Intelligence, IEEE Intelligent Systems, the International Semantic Web Conference, and the Extended Semantic Web Conference. Dr. Santos has led government sponsored research, including National Spectrum Consortium's Policy Development, and DARPA's Machine Common Sense.

Projects as Research Staff

Health Empowerment by Analytics, Learning, and Semantics (HEALS)

The Center for Health Empowerment by Analytics, Learning, and Semantics (HEALS) is a five-year collaboration between Rensselaer and IBM aimed at researching how the application of advanced cognitive computing capabilities can help people to understand and improve their own health conditions.

Human Health Exposure Analysis Repository (HHEAR)

In 2019 the Human Health Exposure Analysis Resource (HHEAR) Data Center was established by NIEHS as a continuation of the CHEAR Data Center expanding to include health outcomes at all ages.

Machine Common Sense (MCS) Multi-modal Open World Grounded Learning and Inference (MOWGLI)

DARPA is the research and development office for the U.S. Department of Defense. It maintains the technological superiority of the U.S. military and prevents technological surprise from harming our national security. TWC has been funded by DARPA for numerous projects, including this one.

The Human-Aware Data Acquisition Infrastructure (HADatAc)

HADatAc (Human-Aware Data Acquisition framework) is an open-source infrastructure that enables combined acquisitions of data and metadata in a way that metadata is properly and logically connected to data.

E-Science Jefferson Project on Lake George

The Jefferson Project at Lake George is building one of the world’s most sophisticated environmental monitoring and prediction systems, which will provide scientists and the community with a real-time picture of the health of the lake.