Medical device research principal investigator and product development manager. Product focus in wearable sensors and human interface solutions, for diagnostics, rehabilitation, and education. Lead teams of hardware and software engineers for product design and development throughout the development process, from project conception to prototype development and refinement and to clinical testing. Extensive experience in developing research proposals for government agencies, user-centered design, human research regulatory documentation, and clinical trial oversight. Experienced in FDA device requirements and documentation. Technical roles include signal processing and statistical analysis. Principal investigator on three Phase II and six Phase I SBIR efforts through NIH and DOD. The projects that I have led include: energy expenditure monitor for lower-limb amputees via sensors built into leg prostheses; the development sensing technologies to promote adherence to nebulizer and oxygen therapies for COPD and cystic fibrosis patients; and development and evaluation of a unique electromyography video game interface for rehabilitation for knee osteoarthritis.

Research & development for medical device technology, with a focus in wearable sensors and human interface solutions for diagnostics and rehabilitation. Technical roles include signal processing, statistical analysis, and overseeing product design/testing. Research areas include fall detection, non-invasive sleep monitoring, and adherence monitoring for COPD treatment. Manage team of engineers for product design and development. Develop research proposals for government agencies.Principal investigator on Phase II SBIR effort (DoD – OSD) for monitoring energy expenditure in amputee patients and Phase I SBIR effort (NIH – OD) involving wireless sensing of muscle activity in K-12 classrooms for science education.

Research Engineer in the Neuromuscular Control and ARMS Laboratories• Coordinated project timelines/communication alongside varied teams, including senior investigators, engineers, clinicians, on projects investigating reflex activity in spinal cord injured individuals• Developed curriculum materials for NSF sponsored educational outreach program for middle school students about biomedical engineering and cyberphysical systems; presented material to students weekly for up to 6 class periods per week• Managed laboratory protocols for compliance with human subject safety regulations• Streamlined MATLAB code for multi-layered human data collection, including electromyographic and force feedback data• Developed MATLAB scripts for data processing and statistical analysis supporting multiple projects• Trained students/post-docs in laboratory equipment, software, and protocols • Edited scientific content and prepared scientific figures of 10+ manuscripts for submission to journals • Instituted a forum of research engineers for mentorship and dissemination of resources across labs• Contributed to multiple grants for the laboratory, including a $3M NSF grant and a $1M VA grantConference Papers:Riley Z, Krepkovich E, Honeycutt C, Mayland E, Murray W, and Perreault E. Cutaneous Stimulation of the Index Finger of Spinal-Cord Injured Individuals Can Inhibit Extensor Muscles, but Not Excite Flexor Muscles in the Upper Limb, SfN, Oct 2009, Chicago, IL. Riley Z, Krepkovich E, Mayland E, Murray W, and Perreault E. Flexion-Withdrawal Reflexes in the Upper Limb Adapt to the Position of the Limb, ASB Meeting, Aug 2009, State College, PA

Graduate student research in neural engineering at the Neuromuscular Control Laboratory, Rehabilitation Institute of Chicago.My thesis project focused on developing and testing an algorithm for identifying the most useful signals for predicting multi-dimensional movement from neural-machine interfaces. • Designed experimental protocols for prediction of human movement using high-dimensional physiological signals. Protocol design, including machining of kinematic markers, data acquisition software, and data analysis software, is now used as a standard in the laboratory for experiments investigating free reaching movements.• Built and debugged software library for data collection and analysis in MATLAB• Developed a MATLAB algorithm using system identification to identify the principal electrodes for predicting actual movement for healthy subjects and intended movement for amputee patients• Collaborated with colleagues to develop laboratory software for kinematic analysis• Secured over $150,000 in external grant fundingConference Papers:Krepkovich E and Perreault E. Optimal Input Selection for Neural Machine Interfaces Predicting Multiple Non-Explicit Outputs, IEEE EMBS 2008 Meeting, August 2008, Vancouver, Canada. Krepkovich E and Perreault E. Selecting Optimal Inputs for Multiple-Input Multiple-Output Systems Lacking Explicit Output, Neural Interface Conference 2008, June 2008, Cleveland, OH. Romito E, Zhou P, Kuiken T, Perreault E. Optimal Input Selection in Multiple-Input Multiple-Output Systems Lacking Explicit Motor Output, BMES Fall 2006 Meeting, October 2006, Chicago, IL.

Co-op research position in the Biomechanics Laboratory via the NSF Research Experience for Undergraduates program.• Systematized large scale data set of plantar pressure for analysis of symmetry• Investigated the relationship between body mass, gender, shoe size, and age with plantar pressures with in-depth statistical analysis• Developed Matlab software for robust analysis and reporting of high volume plantar pressure dataConference Paper:Romito E and Cavanagh P. Symmetry of Peak Plantar Pressures in Healthy Adults, BMES Fall 2003 Meeting, 4 October 2003, Nashville, TN.

Undergraduate research at the Neural Engineering Center via the Whitaker Summer Undergraduate Research Fellowship/Senior Research Project• Investigated excitation and block properties of human nerve fibers with a computer model• Formulated model parameters in C++ to generate and analyze sinusoidal stimulation

Summer research assistant at the Bone Tissue Engineering Center at Carnegie Mellon University• Examined cellular adhesion to bone implant materials• Developed polymer and polymer-ceramic composite scaffolds and tested adhesion with several assays