Gavin Philips Email & Phone Number

Denver, Co

• Performed user experience research and R&D focused on people with disabilities• Managed a variety of design and R&D projects• Mentored and supervised dozens of students at undergrad and graduate levels• Produced product/project specs for individual user-focused freshman and senior design projects and guided them to completion• Liaised with academic, clinical, and industry partners; developed and wrote R&D grants totaling $14.6 million• Published research products in peer-reviewed journals and conferences• Developed curricula for new degree/certificate programs; independently developed and instructed undergrad and graduate level courses• Provided engineering support for clinic activities• Performed outreach activities (presentations and interactive demos) for K-12 students and the general public

Baltimore, Maryland

• Collaborated with experts in Germany and Italy to develop a completely novel method for localizing neural signals (EEG) using selective magnetic fields and superparamagnetic iron oxide (SPIO) nanoparticles• Worked from first principles and proved the feasibility of each underlying component of the method• Learned and applied relevant techniques, including NMR/MRI, spectrophotometric assays, cell culture, nanoparticle cell loading, bloodborne pathogen safe wet lab techniques, optical and electron microscopy, invasive electrode specification, and electromagnetic coil construction

Developed combined brain-computer interface / robotic therapy system for post-stroke rehabilitation, and utilized it in human subject research (in conjunction with University of Florida PhD research).

• Completed a PhD in the Computational NeuroEngineering Laboratory (CNEL) and VA Brain Rehabilitation Research Center of Excellence (BRRC), under the guidance of Jose Principe, Aysegul Gunduz, and Janis Daly• Dissertation: "Functional Connectivity Based Biomarkers for Evaluation and Guidance of BCI-Enabled Post-Stroke Motor Recovery"• Applied signal processing, machine learning, and graph theoretic methods to the analysis of neural signals for stroke rehabilitation• Served as teaching assistant for Circuits I and II courses

• Collaborated with an unparalleled team of physical/occupational therapists and speech pathologists to assess and address the needs of people with complex disabilities• Specified, developed, and customized a diverse array of assistive technologies (AT), including complex power wheelchairs, communication devices, computer access methods, home automation, and accessible gaming• Supported user-centered research to develop a variety of novel technologies. Coordinated adaptive gaming events for children with disabilities

• Completed BS and MS degrees in the Wyoming Image and Signal Processing Research Laboratory (WISPR), under the guidance of Cameron Wright and Steven Barrett• Thesis: "Expanding Smart Wheelchair Technology for Users with Severe Disabilities"• Applied bioinstrumentation, signal processing, and embedded systems to the development of a power wheelchair that can be controlled by eye movements (EOG) and sips/puffs on a tube, with ultrasonic sensors for obstacle avoidance• Served as teaching assistant for Real Time Embedded Systems, Microprocessors, and Orientation to Engineering Study courses

Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering

Advisor: Dr. Jose C. Principe Dissertation: Functional Connectivity Based Biomarkers for Evaluation and Guidance of BCI-Enabled.

Master Of Science (M.S.), Electrical Engineering

Advisor: Dr. Cameron H. G. Wright Thesis: Expanding Smart Wheelchair Technology for Users with Severe Disabilities

Bachelor Of Science (B.S.), Computer Engineering, Honors Program

Activities and Societies: Tau Beta Pi Engineering Honor Society