Medical Project

Neha Singh

********@***.*** **** Orchard Avenue

http://www.linkedin.com/in/singhneha17

213-***-**** Los Angeles, CA 90007

EDUCATION

University of Southern California (USC), Los Angeles, CA Expected Graduation – May 2015

Masters in Biomedical Engineering GPA – 3.44

Coursework: Advanced Studies of Nervous System, Integration of Medical Imaging Systems Technology, Seminar in Bioengineering, Development and

Regulation of Medical Devices, Quality Systems and Standards, Advanced topics in biomedical systems, Signals and Systems Analysis, Applied

Electrophysiology

Ramrao Adik Institute of Technology (RAIT) – University of Mumbai, Nerul, Maharashtra, India May 2013

Bachelor of Technology – Instrumentation Engineering GPA – 3.9

SOFTWARE SKILLS

Programming languages: C, C++, Java

Tools: MATLAB, Simulink, AutoCAD, Solidworks, LabVIEW, Visual Studio, VectorCast/C++, Minitab

Web Development: HTML, JavaScript

WORK EXPERIENCE

Research Intern at Teco Diagnostics (March 2015 – Present)

Working in the Quality Control, Production, R&D and Quality Systems departments to contribute to company’s wide range of diagnostic products.

Medical Devices’ Engineering Intern at Applied Biomedical LLC (Feb 2014 – Jan 2015)

Designed and tested the hardware and software of the Blood Glucose Monitoring System as a Device Development team member.

Worked on the electro-mechanical aspects of the Blood Glucose Monitoring System by continuous monitoring to keep upgrading its quality.

Performed a number of quality control steps as per FDA 21 CFR 820, during the production of the meters.

Generated various protocols for the verification and validation of meters as well as other equipments used for production.

As a risk management engineer, generated FMEAS/FTAs and gained good understanding of CAPA.

Generated SOPs and Design Control Documents like Hardware and Software specifications documents for 510(k) submission.

Project Trainee at Bhabha Atomic Research Centre (BARC), Mumbai (Jul 2012 – Apr 2013)

Worked on the Supervisory control of Data Acquisition Process, presentation and interpretation of NDT data" in LabVIEW.

Simulated serial communication interfacing using Ethernet of the Data Acquisition System present in IPIG (Instrumented Pipeline Inspection Gauge).

IPIG is a device that runs along the pipelines to collect information about the inner surface for damage or leakage.

The scope of the project was to increase the speed and accuracy of data transfer from and to the DAS and computer to upgrade the efficacy.

PROJECTS AND RESEARCH WORK

Research paper on “Gastric Electrical Stimulations using circumferentially placed electrodes and an Accelerometer – To treat

Gastroparesis” (Aug 2014 - Dec 2014)

A research based project as a part of “Applied Electrophysiology” course, to find out the cons in present GES (Gastric Electrical Stimulation) systems

and improvised the design to provide better results both physiologically and electrically.

Research work at Medical Device Development Facility Department at USC (Mar 2014 – May 2014)

Worked on the mechanical aspects of a stent structure used for fetal pacemakers and how it would affect the stent stiffness. Understanding the equations

of bending stiffness and relating them to the electrical characteristics of the stent.

Project on design, development, Patent Analysis and Regulatory aspects of an innovative Medical device (Jan 2014 – May 2014)

Designed and developed an ultrasound transducer probe cover with an inbuilt gel dispenser to better and more efficiently lubricate the surface of interest

leaving no air gaps.

Worked on various aspects of bringing the product to market like marketing, reimbursement strategy planning and regulatory strategy which includes

patent searching of a substantially equivalent device, analyzing required tests, and every other requirement for a 510(k) submission as per FDA QSR.

Neuroscience projects (Aug 2013 – Dec 2013)

Project 1: Implemented Hodgin-Huxley’s model in Matlab & Excel to reproduce Action Potentials by defining various parameters that affect the

spiking mechanism to work well and to break down.

Project 2: Created a learning model based on Cerebellum, in Matlab. Trained the system to learn sequential patterns and tested the learning for

parameters like age, length and frequency of input training.

ACTIVITIES AND ACHIEVEMENTS

Awarded with Dean’s Masters Fellowship at USC. The school selected 75 students from the total intake of 3,300 graduate students.

Presented an article on “Shunts to treat Hydrocephalus” at USC.

Awarded with a Scholarship by RAIT in 2013, for obtaining 3rd rank in the University of Mumbai.

Worked as the Vice-President of International Society of Automation at RAIT in the year 2012-2013.

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