Biography

I’m Roberto Yus, Assistant Professor at the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County. I’m leading the DAMS (DAta Management & Semantics) Research Group at UMBC. Previously, I was a Postdoctoral Researcher at the University of California, Irvine working with Prof. Sharad Mehrotra in the ISG group.

My research interests concern Data Management, Knowledge Representation, the Internet of Things, and Privacy. Specifically semantic and privacy preserving data management in IoT environments.

—> I’m looking for students to join my lab! More information

Interests

  • Data Management
  • Knowledge Representation
  • Internet of Things
  • Privacy

Education

Projects

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Active All Internet of Things Data Management Semantic Web Privacy

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 …

PrivacyLens

Framework aimed at discovering, collecting, and analyzing privacy policies of smart devices using NLP and ML algorithms, to provide …

SmartSpec

SmartSPEC is a smart space simulator and data generator that creates customizable smart space datasets using semantic models of spaces, …

Android goes semantic

Semantic Web on smartphones

FaceBlock

Protecting individuals' privacy from eyewear technology

Infoboxer

Semantic tool to help create Wikipedia Infoboxes

MultiCAMBA

Multi-CAMera Broadcasting Assistant

SemIoTic

Facilitating the development of applications in IoT spaces

SHERLOCK

System for Heterogeneous mobilE Requests by Leveraging Ontological and Contextual Knowledge

TIPPERS

Testbed for IoT-based Privacy-Preserving PERvasive Spaces

Recent Publications

Quickly discover relevant content by filtering publications.

Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection

Detecting malicious Bluetooth Low Energy (BLE) trackers remains challenging because existing approaches rely on fixed time and distance …
DOI

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

This is the artifact for PSMark. PSMark is a distributed, multi-protocol benchmark for evaluating topic-filtered publish/subscribe …
DOI

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

The Publish/Subscribe (pub/sub) paradigm is widely used in the Internet of Things (IoT). Standalone sensors, wearables, and other …
DOI
See all publications

Highlights

A few recent highlights. The full lists live on the Funding and Awards pages.

NSF CAREER Award

National Science Foundation Jul 2026
Towards a Sensorless Internet of Things through Sensor Data Management Abstraction.

Outstanding Research Partner Award

Center for Women in Technology (CWIT), UMBC Jan 2026

Best Artifact Award

PerCom 2025 Mar 2025
For our paper Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode.

Mark Weiser Best Paper Award

PerCom 2022 Mar 2022
For our paper SmartSPEC: Customizable Smart Space Datasets via Event-Driven Simulations.

Contact

  • ryus@umbc.edu
  • 1000 Hilltop Circle, Baltimore, MD 21250
  • Information Technology and Engineering (ITE) Building