Dr. Rajmonda Caceres
Dr. Rajmonda S. Caceres is Assistant Group Lead of the AI Technology Group at MIT Lincoln Laboratory. Rajmonda earned her PhD degree in mathematics and computer science from the University of Illinois at Chicago in 2012. Her research background is in network science, data mining and machine learning. Her graduate research work was on characterization and identification of optimal temporal scales for analyzing temporal interaction networks.
Rajmonda has contributed to a variety of application areas, including anomaly detection in cyber and social networks, open-source data analytics, information retrieval, and AI-driven synthetic biology. Her current work focuses on methods for learning robust representations of relational and sequential data in resource constrained environments, as well as design optimization of complex systems.
Courses taught by Dr. Rajmonda Caceres
The course begins with a brief history of Artificial Intelligence (AI), including a survey of representative AI success stories and covers topics such as AI data requirements and conditioning, a selection of AI techniques including supervised learning, unsupervised learning and . . .