Biography

Assistant Professor of Computer Science Sharmishtha Dutta joined the Stonehill College community in 2025. Her Ph.D. concentration is in Computer Science with a focus on curation and completion of knowledge graphs. Her work includes mining malware threat intelligence from unstructured texts using machine learning, designing ontologies and novel machine learning models for knowledge graphs, and curating realistic and temporally aware inductive knowledge graphs. Previously, she worked as a lecturer at Metropolitan University from 2017 to 2019.

Education

  • Ph.D., Computer Science, Rensselaer Polytechnic Institute
  • B.Sc., Computer Science and Engineering, Shahjalal University of Science and Technology

Titles

Assistant Professor of Computer Science

Departments

Computer Science

  • Aggarwal, C., Dutta, S. Gittens, A., Rastogi, N., Zaki, M, MALOnt: An Ontology for Malware Threat Intelligence.
  • Rastogi, N., Dutta, S., Gittens, A., Zaki, M. J., & Aggarwal, C. (2022, December). TINKER: A framework for Open source Cyberthreat Intelligence. In 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 1569-1574). IEEE.
  • Dutta, S., Rastogi, N., Yee, D., Gu, C., & Ma, Q. (2021). Malware knowledge graph generation. arXiv preprint arXiv:2102.05583.
  • Christian, R., Dutta, S., Park, Y., & Rastogi, N. (2021, November). An ontology-driven knowledge graph for android malware. In Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (pp. 2435-2437).
  • Dutta, S., Mawla, T., & Rabbi, M. F. (2018). A comparison study of temporal signature mining over traditional data mining techniques to detect network intrusion. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 2 (pp. 757-763). Singapore: Springer Singapore.
  • Dutta, S., Gittens, A., Zaki, M. J., & Aggarwal, C. C. (2025, April). Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 14, pp. 14885-14892).