Research Labs

Computer Music

AI, Music and Interaction Lab 

Dr. Bill Manaris and his students explore research in computer science and music, sonification, music information retrieval, 3D audio, artificial intelligence, interaction, and avant garde forms of music composition and performance, as well as music technology. Areas of interest include:

  • sonification and interaction design
  • spatial audio and virtual/augmented reality
  • music performance and digital musical instruments
  • interfaces for musical expression, including sensors and hardware
  • interactive audio and game audio
  • telematic performance

We explore all aspects of computer science (artificial intelligence, big data, human computer interaction, etc.) as they contribute to the above areas.

For more information, please contact Dr. Bill Manaris.

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AR/VR Simulation Lab

The AR/VR simulation lab's primary focus is incorporating realistic algorithmic simulation scenarios within virtual or augmented reality settings for therapeutic mental health application purposes. The lab will also allow for work in multi-agent simulation applicable to the Internet of Things, human computer interaction, computer vision, motion capturing, modern user interface, virtual production, gaming, experiential learning, and content creation for various purposes ranging from the educational to the recreational. 

For more information, please contact Dr. Ellie Lovellette.

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Critical Art and Technology Lab (CATLab)

The Critical Art and Technology Lab (CATLab) uses emergent forms of art, design and digital media to critically engage with broader social questions regarding justice, equity and inclusion. Our work utilizes diverse tools and tactics ranging from digital games to AR/VR and tangible interfaces as part of a research and practice-based approach, exploring new modes of creative inquiry for social change.

For more information, please contact Dr. Sarah Schoemann.

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CIRDLES

Dr. Jim Bowring's National Science Foundation-funded Cyber Infrastructure Research and Development Lab for the Earth Sciences (CIRDLES.org) invents and develops software tools and data processing techniques to automate the workflow of geoscientists in determining the age of the earth. CIRDLES also invents and develops software testing tools, visualization tools, and mobile apps. Students interested in solving hard problems are encouraged to visit CIRDLES in Room 307 of Harbor Walk East to get to know the students who have already engaged in the research.

For more information, please contact Dr. Jim Bowring.

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Cybersecurity and Blockchain Research (CBR) Lab 

This lab mainly focuses on computer, communication and network security. Specific interests are:

Blockchain Secure Blockchain applications, Security/privacy in Blockchains.

Machine Learning Machine learning for cybersecurity, Adversarial machine learning, Decentralized federated machine learning.

Security and Privacy Preservation within Smart Health applications, Smart grid AMI networks, Self-driven vehicle applications, Electric vehicle communications, Vehicular ad hoc networks.

For more information, please contact Dr. Mohamed Baza.

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Cybersecurity, Cloud Computing and Data Science (CCD) Research Lab 

The CCD Lab aims at exploring and popularizing the latest advances in theory and practice of cybersecurity, cloud computing and data science. Here we conduct innovative projects such as designing multi-party secret sharing schemes for trusted cloud computing, inferring topological associating domains in Hi-C data of human and animal genomes, and retargeting images with seam carving and scaling for smart information visualization. We also practice cyber offense and defense, engage with Docker and AWS, and demystify blockchains and quantum computing.

For more information, please contact Dr. Jonathan Sun.

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Data Mining and Connectivity (DMC) Research Lab

The DMC research lab focuses on exploring data mining approaches and Internet of Things (IoT) technologies to solve real-world problems. Areas of interest include, but not limited to:

  • Environmental Sustainability
  • Crowdsensing and Drive-By Sensing
  • Spatiotemporal Data Mining
  • Smart Cities and Communities
  • Pervasive Computing

For more information, please contact Dr. Navid Hashemi.

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Health Informatics & Computing Education (HICE) Lab

The focus of the lab, as the name implies, is two-fold:

  1. Data mining applications in healthcare.
  2. Educational research project with focus on pedagogical tools.

For current project examples click here.

For more information, please contact Dr. Ayman Hajja

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Software Security and Machine Learning

Software Security and Machine Learning Lab explores data dependent approaches to address research problems in cybersecurity, software engineering and systems biology.  Join us to participate in the cutting edge research to create automated and algorithmic solutions for real world problems such as prediction of software vulnerabilities, malware detection, fake news detection and data privacy in social networks.

For more information, please contact Dr. Kris Ghosh