Research Labs

In the AI, Music and Interaction Lab Dr. 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, contact Dr. Bill Manaris.

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 recreational, gamified, and therapeutic mental health applications. The lab also allows for motion capturing, green screen virtual production, and content creation. 

For more information, contact Dr. Ellie Lovellette.

CIRDLES

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 https://cirdles.org/about/people/ to get to know the students who have already engaged in the research or visit Dr. Bowring’s website.

For more information, contact Dr. Jim Bowring. 

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, contact Dr. Sarah Schoemann.

Cybersecurity and Blockchain Research (CBR) Lab 

The Cybersecurity and Blockchain Research 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, contact Dr. Mohamed Baza. 

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:

• Deep Learning Applications
• Spatiotemporal Data Mining
• Health Informatics
• Environmental Sustainability
• Smart Cities & Communities
• Crowdsensing

For more information, contact Dr. Navid Hashemi. 

Drone Lab

The Drone Lab works at the forefront of pioneering UAV drone research. The diverse range of projects spans across cutting-edge domains, including drone detection and classification systems that leverage the power of machine learning, computer vision, acoustic analysis, and an array of advanced methodologies. 

Close collaborations with renowned industries like Mercedes Benz and BMW bring real-world challenges to our doorstep, enabling us to address complex problems using the agility and versatility of drones. Our knowledge sharing manifests in regular research publications and contributions at conferences, benefiting the wider scientific community.

For more information, contact Dr. Mia Wang.

Software Security and Machine Learning Lab

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.