Mechanical Engineering Assistant

Abed Motasemi

PhD Student

Department of Mechanical Engineering

University of Texas at San Antonio

**** ******* *****, *** *******, TX 78240

Phone: 617-***-****

Email: ****.********@*****.***

Visa status: Green Card Holder

Educational Background

University of Texas at San Antonio, TX, USA

2013-2016

PhD., Mechanical Engineering in Advanced Manufacturing and Enterprise Engineering, (GPA: 4.0/4.0)

Thesis Title: “Spatiotemporal Outlier Detection Methodologies for Image-based Process Monitoring”

University of Amirkabir (Polytechnic of Tehran), Iran

2009-2011

MSc., Mechanical Engineering in Design and Manufacturing Engineering, (GPA: 3.7/4.0)

Thesis Title: ” Diagnosis of pressure distribution and radial stress in leakage because of fluid flow by acoustic emission”

University of Tabriz, Iran

2005-2009

BSc., Mechanical Engineering in Design and Manufacturing Engineering, (GPA: 3.8/4.0)

Project Title: ” Design of gas turbine blades by clouds of points and compare methods of scanning points by means of design simplicity”

Professional Experience Background

I.Graduate Research Assistant at University of Texas at San Antonio, Mechanical Engineering Department

A.Project for Harland Clarke Company, San Antonio, TX Jan. 2015-May 2016

Output: Implementing an advanced method of quality control with impressive results using industrial camera and vision system to capture the product’s images (bank checks) and control all product’s quality, rather than samples, by image processing and outlier detection algorithms in a very high production rate of bank checks (400 ft./min).

Key Holder:

We identified and classified all type of defects occurred for the checks and then designed several methods of outlier detection for image data as a spatiotemporal data sequences;

I developed several codes in Matlab by using machine learning, statistical and outlier detection algorithms to first detect the defective products and then classify the outliers into different categories.

I used different methods of learning such as K-nearest neighbor, Auto-regressive model, PLS and also spatiotemporal outlier detection techniques in order to detect outliers.

The codes are able to relate any type of outliers to a part of manufacturing machines which is a great contribution to the maintenance,

The codes and methodologies were developed based on image pattern recognition, segmentation, data classification, clustering, background removal, regression, and k-nearest neighbor methods.

B.Project for Harland Clarke Company, San Antonio, TX Jan. 2015-May 2016

Output: Implementing an advanced method of quality control with impressive results using industrial camera and vision system to capture the product’s images (bank checks) and control all product’s quality, rather than samples, by image processing and outlier detection algorithms in a very high production rate of bank checks (400 ft./min).

Key Holder:

We identified and classified all type of defects occurred for the checks and then designed several methods of outlier detection for image data as a spatiotemporal data sequences;

I developed several codes in Matlab by using machine learning, statistical and outlier detection algorithms to first detect the defective products and then classify the outliers into different categories.

I used different methods of learning such as K-nearest neighbor, Auto-regressive model, PLS and also spatiotemporal outlier detection techniques in order to detect outliers.

The codes are able to relate any type of outliers to a part of manufacturing machines which is a great contribution to the maintenance,

The codes and methodologies were developed based on image pattern recognition, segmentation, data classification, clustering, background removal, regression, and k-nearest neighbor methods.

C.Project for Toter Co. and City of San Antonio, TX Sept.2014-Jan. 2015

Output: Implementation of route cause/statistical analysis on data obtained by Toter Co. and City of San Antonio, and understanding the main reasons of high number of claim for damaged/lost garbage carts.

Key Holder:

We cleaned and classified the data of damaged garbage/recycling carts in the years 2011-2014;

We observed the depots of City of San Antonio, where the new carts store, in order to assess the quality of carts in terms of design, manufacturing and potential failure modes related to manufacturer (Toter);

We observed the garbage collection routes based on highest/lowest number of claims in four different areas of San Antonio to collect time data regarding the grabbing, holding and releasing of carts;

We conducted statistical, root cause, regression and ANOVA analysis in Minitab and Matlab and figured out that the City of San Antonio vehicles were not following the standard of carts during garbage collection and also Toter has some potential design and manufacturing problems.

D.Project for UTHSCSA to implement lean system, TX Dec. 2013-Oct. 2014

Output: Implementing of the lean system on very long faculty recruitment process and improvement of the process in terms of efficiency, time, cost, and decreasing wastes/non-value-added activities.

Key Holder:

As a part of a team, I involved with the lean system implementation on the faculty recruitment system.

We assessed and analyzed the current and future value stream mapping of faculty recruitment process using simulation Arena and Microsoft Visio software;

We designed several measuring matrices to evaluate and analyze the system.

We used several lean tools such as computerized system, 5s, optimizing the forms, processes and transportation of data/people to improve system’s efficiency and eliminating non-value-added activities.

II.Graduate Teaching Assistant at University of Texas at San Antonio, Mechanical Engineering Department Sept. 2013-May 2016

III. Part time Teacher at University of Karodanesh, Ghazvin, Iran Sept. 2011-June 2012

IV. R&D Design and Manufacturing Engineer at Avrand Plastic Company, Iran Sept. 2009-July 2013

Output: Design, modify, and reverse engineering of plastic parts/molds and metal components for cars timely and under budget to meet the deadlines of product’s delivery to the car manufacturers.

Key Holder

I worked in the R&D department of an automotive parts manufacturer, on the designing, manufacturing and quality control of plastic/metal parts;

As a part of a team, I designed and modified plastic parts such as weather strip, fuel pump, fuel tank and other plastic parts for several kinds of vehicle including Peugeot 405 and 206, Pride and Samand;

We designed, analyzed and manufactured plastic injection molds, electrode for spark CNC machine and different kinds of cutting and measuring fixtures;

I used CATIA V5R18/19/20 and SOLIDWORKS more than 6000 hours, in order to design, reverse engineering and modify the plastic/metal components.

We developed Design Failure Mode and Effect Analysis (DFMEA) in order to identify potential failure modes in design and develop necessary actions to prevent failure;

We developed process plan for different manufacturing and assembly lines;

I Worked with CNC plastic injection and extrusion machines;

I Maintained timely and accurate oral and written technical reports regarding assigned engineering activities, provided understanding of overall project interactions and issues.

Publication

A.Published in Peer Journals

Motasemi, M.A., Alaeddini, A. (2016). An Area-based Methodology for the Monitoring of General Linear Profiles. Quality and Reliability Engineering International. (Just Accepted).

Mostafavi, S., Fotouhi, M., Motasemi, M.A., Ahmadi, M., & Sindi, C. T. (2012). Acoustic emission methodology to evaluate the fracture toughness in heat treated AISI D2 tool steel. Journal of materials engineering and performance, 21(10), 2106-2116.

Motasemi, M.A., Alaeddini, A. (2016). A Spatiotemporal Outlier Detection Methodology based on Partial Least Square and Area Delaunay Triangulation for Image-based Process Monitoring, IIE Transactions. (Working Paper).

B.Published in Conferences

Motasemi, M.A., Alaeddini, A. (2016). A Spatiotemporal Outlier Detection Method for Image-based Process Monitoring. Texas FreshAIR Big Data & Data Analytics Conference.

Motasemi, M.A., Ahmadi, M., (2011). Investigating the rate of head shortage arising from friction in gas leaking & the effect of parameters affecting on it as non-destructive acoustic emission, 3th International and 12th national conference on Manufacturing Engineering, University of Tehran (ICME) (In Persian).

Motasemi, M.A., Akhoundi, B., (2010). Methods of compiling strategy of technology development in automobile industry & case study of a foreign automobile manufacturer, 11th conference on Manufacturing Engineering, Tabriz university (In Persian).

Akhoundi, B., Motasemi, M.A., (2010). Investigation of present status of car automobile industry in our country in terms of competitiveness in quality and price and comparison with foreign companies, 11th conference on Manufacturing Engineering, Tabriz university (In Persian).

Honor and Awards

Valero PhD Competitive Research Scholarship, UTSA, Fall 2015-Spring 2016,

Graduate Research Assistant Stipend, UTSA, 2015-2016,

Mechanical Engineering Department Teacher Assistant Scholarship, UTSA, 2015-2016,

Best Teacher Assistant Award, UTSA, 2015

Graduate Research Assistant Stipend, UTSA, 2014-2015,

Mechanical Engineering Department Teacher Assistant Scholarship, UTSA, 2014-2015,

American Petroleum Institution (API) annual award, 2014,

Mechanical Engineering Department Fellowship, UTSA, 2013-2014,

Mechanical Engineering Department Teacher Assistant Scholarship, UTSA, 2013-2014.

Skills and Certification

Professional in statistics, simulation and programming software tools: Matlab, Minitab, Arena, MS. Office.

Familiar with the programming languages: Fortran, Python.

Professional in software tools: Solidworks (CSWP Certificate), Catia (Certificate), Geomagic (Certificate) in designing plastic/metal components, plastic injection molds, jig and fixtures;

Professional in the surface modelling using generative shape design, imagine and shape and digitized shape editor environments of CATIA V5.

Professional in Geometric Dimensioning and Tolerance (GD&T);

Familiar with FEM analysis software (Abaqus) in order to analysis the mechanical components.

Familiar with QFD for quality implementation, control and improvement and DFMEA to identify potential failure modes in design and develop actions to reduce the possibility of failure;

Computer Integrated Manufacturing (CIM) systems certification from Intelitek which includes programming of industrial robots, CNC milling and lathe machines programming, and vision system.

References

I.Dr. Adel Alaeddini, Assistant Professor, University of Texas at San Antonio

Email: ****.*********@****.***. Phone: 210-***-****,

II.Dr. F. Frank Chen, Professor, University of Texas at San Antonio

Email: **.****@****.***. Phone: 210-***-****,

III.Dr. Hung-da Wan, Associate Professor, University of Texas at San Antonio

Email: ******.***@****.***. Phone: 210-***-****,

IV.Dr. Yusheng Feng, Professor, University of Texas at San Antonio

Email: *******.****@****.***. Phone: 210-***-****.

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