Dr. Christopher Paolini

Dr. Christopher Paolini

Assistant Professor
Academic Affairs
College of Engineering
Department of Electrical and Computer Engineering

SDSU

Email

Primary Email: [email protected]

Phone/Fax

Primary Phone: (619)594-7159

Building/Location

Engineering - 411
5500 Campanile Drive
San Diego, CA 92182

Website Links

Education

Ph.D., San Diego State University, 2007

Areas of Specialization

  • Machine Learning
  • Embedded Systems
  • Internet of Things
  • Device Development

Responsibilities

  • Advisor for CompE Students:  Me - Sae

Awards & Honors

  • Dr. Christopher Paolini was featured by the Sustainable Horizons Institute in their feature story, "SRP: Creating Opportunities for Breakthrough Collaborations", 2021

Courses

  • COMPE 361

Grants

  • 2020 SDSU Summer Undergraduate Research Program: "Embedded Non-Symmetric Deep Autoencoder Implementation on the Xilinx Alveo U25"
  • Department of California Highway Patrol: "Testing Services for Police Traffic Radar and Laser Speed Measuring Devices"
  • HealthLINK Center Cycle 1 Pilot Project, National Institute on Minority Health and Health Disparities, National Institutes of Health: "Fall Prediction and Detection in At-Risk Older Adults through Interfacing at the Edge"
  • Lawrence Berkeley National Laboratory: "Development of the Lawrence Berkeley National Laboratory Chombo-Crunch Software Framework for the Numerical Simulation of Pore Scale Reactive Transport Processes Involved in Geologic Carbon Sequestration"
  • Lawrence Berkeley National Laboratory: "Simulation of Synergistic Oil Recovery Using the Chombo-Crunch Framework"
  • National Science Foundation - Office of Advanced Cyberinfrastructure (OAC): "CC* Compute: Central Computing with Advanced Implementation at San Diego State University"
  • Plume Design Inc.: "Plume Inc. Fall Detection Sensor Data Capture, Annotation, Analysis, and Reporting"
  • U.S. Department of Defense Office of Naval Research: "Training Reserve Officer Training Corps (ROTC) Students in the Development and Deployment of FPGA Accelerated Network Intrusion Detection Systems for Identifying Indicators of Cyber Attack"