Research in Networks

Information is always in a close relationship with networks. Networks can be connections between humans, machines, vehicles, robots, documents, events, concepts, data, and other elements. Networks of humans - be they physical or virtual organizations, communities, groups -- and individuals generate and consume information. Networks of machines may generate and disseminate information. In the storage, retrieval, processing, and analysis of information, the relationships between entities, expressed as connections and networks form the foundations of discovering and synthesizing new social and technical phenomena.

DINS has a long history in research on how information is communicated with reliability, latency and quality that meets the needs of humans. Such communication happens across the Internet and also locally. The department faculty and students have a portfolio of research in securing communications, especially in the last mile using wireless connections. We are also one of the most well-known institutions for research in policy, governance and regulation of telecommunications.

Faculty Members Involved in Research in Networks and Networked Systems:

  • Amy Babay (Resilient networks and systems, fault tolerance, distributed systems)
  • Morgan Frank (Computational Social Science, Labor economics and analytics),
  • James Joshi (Access control, information and cloud security)
  • Prashant Krishnamurthy (Wireless networks, Internet of Things, Security and Trust)
  • Yu-Ru Lin (human and social dynamics, computational approaches for mining and visualizing large-scale, time-varying, heterogeneous, multi-relational, and semi-structured data),
  • Balaji Palanisamy (Blockchain and distributed ledgers, information privacy)
  • Konstantinos Pelechrinis (sports and urban analytics, mathematical foundations of communication networks and graph mining of the Internet
  • David Tipper (Resilient networks and systems, fault tolerance, smart grid, wireless networks)
  • Martin Weiss (Radio spectrum governance, telecommunications regulation and policy, institutional use of blockchains)
  • Vladimir Zadorozhny (networked information systems, complex adaptive systems, heterogeneous data fusion, wireless and sensor data management, query optimization in distributed environments, scalable architectures for wide-area environments with heterogeneous information servers).