Organization profile

Organization profile

The Digital Technology Center (DTC) is a hub of innovation and excellence at the University in the digital technologies serving the industrial, educational, and public needs of the state and the nation. The DTC integrates research, education, and outreach in digital design, computer graphics and visualization, telecommunications, intelligent data storage and retrieval systems, distributed robotics, safety, security, and rescue, multimedia, datamining, scientific computation, wireless communications, advanced storage technologies, and other digital technologies.

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities

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Collaborations and top research areas from the last five years

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  • Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach

    Tom, A. S., Ahmed, N. K. & Karypis, G., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M.-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 86-103 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13714 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Vivisecting mobility management in 5G cellular networks

    Hassan, A., Narayanan, A., Zhang, A., Ye, W., Zhu, R., Jin, S., Carpenter, J., Mao, Z. M., Qian, F. & Zhang, Z. L., Aug 22 2022, SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference. Association for Computing Machinery, Inc, p. 86-100 15 p. (SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    51 Scopus citations
  • Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs

    Mavromatis, C. & Karypis, G., May 9 2021, Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Proceedings. Karlapalem, K., Cheng, H., Ramakrishnan, N., Agrawal, R. K., Reddy, P. K., Srivastava, J. & Chakraborty, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 541-553 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12712 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    51 Scopus citations