Christopher Paolini, PhD

Co-Investigator, Sensor Methods Group and Health Data Analytics Group

Dr. Christopher Paolini is an Assistant Professor in the Department of Electrical and Computer Engineering at SDSU. Dr. Paolini is the recipient of grants from the Department of Energy and NASA, and five NSF Office of CyberInfrastructure awards, most recently the current NSF CC* Storage Grant 1659169 Implementation of a Distributed, Shareable, and Parallel Storage Resource at SDSU to Facilitate High-Performance Computing for Climate Science. Dr. Paolini’s doctoral and post-doctoral research has been in the areas of combustion engineering, computational thermodynamics, and chemical kinetics. His current research interests include Internet of Things device development, machine learning, embedded systems, cloud computing, big data analytics, deep learning, software engineering, numerical chemical thermodynamics, numerical chemical kinetics, numerical geochemistry, high performance computing, scientific computing and numerical modeling, high speed (100gbps) networking, cyberinfrastructure development, and cybersecurity. The SDSU HealthLINK Center has granted Dr. Paolini a pilot research project award to design and manufacture a prototype of a wireless, wearable, low power, fall prediction and detection device for at-risk older adults. The device uses a small field-programmable gate array that executes a machine learning model to detect when the device wearer has fallen. Dr. Paolini received a Bachelor of Science in Computer Science in 1991, an Master of Science in Computer Science in 1998, and his Doctor of Philosophy in Computational Science in 2007, all from SDSU.

See Dr. Paolini’s profile for details on publications and projects.