Henok Shiferaw

Hi, I’m Henok Shiferaw, a Patent Examiner

I graduated with a Bachelors Science in Manufacturing Engineering/System, a Masters in Computational Science and Engineering from North Carolina A&T State University in 2012 and PhD candidate in Computational Science and Engineering in North Carolina A&T State University.

I now work at USPTO as a Primary Patent Examiner in Electrical and Computer Engineering to evaluate patent applications in the Network Printing, Scanning, Color, Halftone, Image Analysis, Data Compression, Data Analysis, Data Encryption, Barcode Symbology, FAX/PRINTER/SCANNER Technology and Display System arts for compliance with federal patent laws and regulations

What I Really Do!

Play a critical role in giving inventors exclusive rights over their discoveries.

Review patent applications to ensure conformity to formal requirements.

Write legal office actions on patentability and respond to patent applicants.

Languages

MACHINE:
🤖 Python, Perl, R, PHP, Matlab/GNU Octave, bash/shell, some superficial knowledge of C, common LISP and Haskell; markup languages including LATEX/XƎTEX, R Markdown, HTML, CSS.

HUMAN:
🗣 English and Amharic

news

May 21, 2022	Recognized for Ten Years of Service in the Government of the United States of America.
Sep 30, 2018	Received U.S. Patent and Trademark Office Bronze Medal Award.
Jan 15, 2016	A simple inline announcement with Markdown emoji!
Nov 7, 2015	A long announcement with details
Oct 22, 2015	A simple inline announcement.

selected publications

ACSSC

Probabilistic Analysis of Property Uncertainties Using Resin Infusion Flow Modeling and Simulations – Resin Viscosity And Preform Permeability

Shiferaw, H.

Dec 2012

Abs HTML PDF

For LCM processes modeling and optimization substantial amount of research and work has been done. Several researches have been done based one-dimensional mold filling models, thin-shell molds, and three-dimensional models that simulate the mold filling, and heat transfer and curing stages. The objective of this work is to study the two key parameters: preform permeability and resin viscosity in liquid composite molding. This thesis research involves several tasks: develop different kind of an integrated LCM simulation using simulation software such as ANSYS, develop statistical characterization for viscosity and permeability data value by using statistical software SPSS, and develop design and solution of LCM process with simulation and process parameters. Also research involved in development of the integrated design environment with ANSYS, C++, SPSS, and Tec-plot. The viscosity and permeability data were characterized using statistical methods and the stochastic properties distribution type and parameters. Based on the assumption that viscosity and permeability data values distribute statistically (normal distribution), optimal tooling design was simulated. In this thesis research, robust tooling design was conducted focusing on the two important parameters; viscosity and permeability, so that the process was insensitive to the viscosity and permeability variation for producing consistent part in a minimal time and quality.