Mark Crovella and Evimaria Terzi awarded NSF grant

Professors Mark Crovella (PI) and Evimaria Terzi (co-PI) of the Computer Science Department received a National Science Foundation award entitled “Structural Matrix Completion for Data Mining Applications.” Congratulations to Mark and Evimaria! Abstract A common problem arising in science and engineering is that a dataset may only be partially measured. Often the complete dataset is […]

Tagged: ,