DAMS Research Group

The DAMS (DAta Management & Semantics) Research Group at UMBC is lead by Professor Roberto Yus. We focus on semantic and privacy-aware data management in IoT environments.

Latest News

Paper accepted at WiSec 2026!

Our paper on speeding up the detection of suspicious Bluetooth trackers, in collaboration with Portland State University, has been accepted at the 19th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) 2026.

Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection

Orobosa Ekhator, Dylan Conklin, Primal Pappachan, and Roberto Yus

Jun 30, 2026 1 min read

Roberto Yus receives NSF CAREER award!

Roberto Yus has received a National Science Foundation CAREER award for Towards a Sensorless Internet of Things through Sensor Data Management Abstraction. The five-year award (NSF #2542782, $599,184, July 2026 – June 2031) is funded by NSF’s Division of Information and Intelligent Systems.

Jun 7, 2026 1 min read

Paper and artifact accepted at PerCom 2026!

Our paper on benchmarking publish/subscribe systems for distributed IoT deployments has been accepted at the IEEE International Conference on Pervasive Computing and Communications (PerCom) 2026, together with an accompanying artifact paper at PerCom Workshops.

PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads

Artifact: PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads

Christian Badolato, Nathan Samson, Houssam Hajj Hassan, Chih-Kai Huang, Georgios Bouloukakis, Primal Pappachan, and Roberto Yus

Mar 16, 2026 2 min read

Paper and artifact accepted at PerCom 2026!

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Recent Publications

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Orobosa Ekhator, Dylan Conklin, Primal Pappachan, Roberto Yus (2026). Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection. 19th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec).

Cite DOI

Christian Badolato, Nathan Samson, Houssam Hajj Hassan, Chih-Kai Huang, Georgios Bouloukakis, Primal Pappachan, Roberto Yus (2026). PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads. IEEE International Conference on Pervasive Computing and Communications (PerCom).

Cite DOI

Christian Badolato, Nathan Samson, Houssam Hajj Hassan, Chih-Kai Huang, Georgios Bouloukakis, Primal Pappachan, Roberto Yus (2026). Artifact: PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads. IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

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Projects

Passive Mode for IoT

Addressing the current gap in IoT mode definitions by introducing and analyzing passive mode designations for smart devices

GenAIPABench

GenAIPABench assesses the effectiveness of GenAIPAs across multiple dimensions including accuracy, relevance, and consistency, using a curated set of privacy-related questions and metrics. The benchmark aims to advance the development of AI privacy assistants by providing a standard evaluation framework.