Accelerated Cybersecurity

September 1, 2016 - December 1, 2020

We conduct cutting edge research to address the national and global challenges in Cybersecurity by leveraging Cognitive Computing approaches Accelerated to work in soft real time. We aim to create a platform for Academia, Industry and Government to collaborate seamlessly and to advance UMBC’s position as a leading research university in cybersecurity-related disciplines. We are a member of IBM’s AI Horizon’s Network.

cybersecurity, high performance computing, information extraction, learning, natural language processing

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Principal Investigator

  1. Anupam Joshi



  1. A. Padia, "Cleaning Noisy Knowledge Graphs", InProceedings, Proceedings of the Doctoral Consortium at the 16th International Semantic Web Conference, October 2017, 1065 downloads.
  2. S. Mittal, A. Gupta, K. P. Joshi, C. Pearce, and A. Joshi, "A Question and Answering System for Management of Cloud Service Level Agreements", InProceedings, IEEE International Conference on Cloud Computing, June 2017, 951 downloads.


  1. A. Padia, K. Kalpakis, and T. Finin, "Inferring Relations in Knowledge Graphs with Tensor Decompositions", InProceedings, IEEE International Conference on Big Data , December 2016, 1329 downloads.