We focus on technical projects in the field of machine learning, deep learning, and artificial intelligence using recently developed techniques, perspectives, and applications for market-relevant areas such as computer vision, natural language processing, and data analytics.

Our machine learning projects include:

  • 3D Object Detection and Localization for Autonomous Vehicles

  • Object Recognition and Tracking for Surveillance Videos

  • Extreme Image Compression from Learned Objects


Machine learning is a crucial and sought-after skill with the recent growths in big data.

We work on projects that could lead to broad impact by making use of state-of-the-art research and computational tools.

Machine learning applies to a variety of automated tasks, such as:

  • Self-Driving Cars

  • Face Recognition

  • Malware Detection

  • Content Recommendations


Analyze state-of-the-art techniques from recent scholarly papers and open-source repositories.


Perform data preprocessing, training, optimization, and evaluation of machine learning models using deep learning frameworks (such as Keras, Tensorflow, and PyTorch).

Collaborate in a teamwork environment with the research leader and a team of student researchers to design, implement, and apply machine learning models for real-world usage.

Related Resources

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    Dr. Raymond Tu

    Research Educator

  • Dr. David Levin

    Faculty Advisor

University of Maryland

Office of the Senior Vice President and Provost

The First-Year Innovation & Research Experience


Dr. Patrick Killion

Director of Discovery-Based Learning

Email: pkillion@umd.edu

Tel: 301-405-0057