My doctoral research work involves the development of new in vitro and in silico tools for studying gap junction channels. The in vitro Lab-on-a-Chip device required proficiency in micro-device design, process design, microfabrication, device microstructure and impedance characterization, and micro-device packaging. Final device functionality and application involved cell-culture, confocal microscopy, signal-processing and electrophysiological analysis. The in silico tool consisted of an approximated 3D-mathematical model of a gap junction pore with dye-particles-interaction simulated using Brownian dynamics equation. MATLAB was extensively used in the computational aspects of both research projects.I served as a Teaching Assistant for the following classes:Biostatistics for Engineers (Fall 2012)Biotransport/Biomolecular (Spring 2015)Physiology for Engineers (Fall 2015)Systems Physiology I (Spring 2016)

Research involved for my thesis towards my Master's of Sciences in Mechanical Engineering.

As a team member, evaluated commercialization potential of assigned new technologies developed in the University of Utah and reported recommendations to respective inventors and University Technology Venture and Commercialization office. Evaluation process involved the review of market reports, scientific journals, industry reports, intellectual property and SEC 10-K reports.

I was responsible for grading the weekly assignments submitted by the undergraduate students taking the Mechatronics class.

As a member of the research and development team responsibilities included designing parts of automation equipment and robots, testing and developing applications of new educational robots and robotic softwares.

I did an image processing based project where Image processing and statistical methods were implemented to predict the surface roughness and texture of machined surfaces.