Research Students

Recent Graduates

  • Eric Grover (MSEE) - Acceleration of Computer Vision Algorithms Using Soft-Core CPUS with Custom Hardware
  • Yaffe Kravitz (MSEE) - Characterizing Kmeans Clustering Methods to Accelerate Experimental Run-times

PhD Students

  • Yan Pang - Custom Architectures for Deep Neural Networks and Convolutional Neural Networks (DNNs/CNNs)

Masters Students

  • Matthew Triche - OpenCL Specification for Dynamically Parallelization
  • Sree Pantangi - Distributed Systems Design for Deep Learning Image Object Inference/li>
  • Tom Garske - Leveraging Electronic Health Records to Construct Predictive Care Models
  • Leonard Strnad - Deep Learning with TensorFlow and Docker
  • David Hawronsky - Object Recognition with Deep Learning Techniques
  • Charles Bollig - Security in Internet of Things (IoT)

Undergraduate Students

  • Kyle McGrath - GPU acceleration of computer vision algorithms