The story of the SLD Group began in June 2000 at Carnegie Mellon University with an initial focus on system-level design methodologies for integrated circuits and systems. Since January 2020, the saga successfully continues at The University of Texas at Austin. Our current research brings together machine learning, network science, and systems design. Topics of interest include machine learning and optimization for edge computing, software-reconfigurable heterogeneous systems on chip, social sensing and epidemics modeling.
