Muthu Elen Ph.D., 

( Muthu Ram Prabhu Elenchezhian  ph.D.,)

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My area of research focuses on polymers and composite materials, specifically studying the aging and degradation of these materials, as well as their manufacturing and testing processes, fatigue, residual strength and life prediction, damage and durability, adhesive bonding, material characterization, sensors, non-destructive testing, and structural health monitoring. I am passionate about exploring the application of artificial intelligence in polymer composite materials and structures. As a curious and innovative engineer, I am always seeking new ways to push the boundaries of my research. Additionally, I am committed to promoting sustainability in my work. Outside of my research, I am a student pilot who enjoys exploring the skies in my free time

Life is short, and there is a lot more to learn

Professional Skills 

Manufacturing: Composites Manufacturing via Compression Molding, Autoclave, Out-of Autoclave, and VARTM 

Characterization: Characterization: Mechanical Testing (Tensile, Fatigue, Compression, and Bending) using UTM (MTS), Dielectric   Characterization (BbDS and TSDC), Surface Analysis, DMA, TGA, SEM, DSC, FTIR 

Leadership: Creative ability, Problem-solving, Analytical Skills, Team playing, Time Management

Analytical: Machine Learning, Neural Networks, Data modeling, Statistics, Predictive modeling

Programming: C, C++, Python (TensorFlow, Keras, ScikitLearn), MATLAB 

Designing Software: AutoCAD, SolidWorks, CATIA V5, Creo 

Analysis Software: ANSYS, Simulink, ABAQUS, COMSOL

Work experience


JANUARY 2023 - Present

Post-Doctoral Research Associate

Pacific Northwest National Laboratory


JULY 2022 - NOVEMBER 2022

Research and Development Engineer 

X-wave Innovations, Inc., 


JUNE 2021 - JUNE 2022

Post-Doctoral Research Assistant

School of Aeronautics and Astronautics - Composites Manufacturing and Simulation Center (CMSC), Purdue University 


AUGUST 2017 - MAY 2021

STEM Graduate Research Scholar

Institute for Predictive Performance Methodologies (IPPM), The University of Texas at Arlington Research Institute


AUGUST 2016 - JULY 2017

Composites Research Intern

Institute for Predictive Performance Methodologies, The University of Texas at Arlington Research Institute


JANUARY 2016 - MAY 2016; AUGUST 2020 - DECEMBER 2020 

Graduate Teaching Assistant

Department of Mechanical and Aerospace Engineering, The University of Texas at Arlington 

Education


AUGUST 2017  - MAY 2021

Ph.D in Aerospace Engineering, The University of Texas at Arlington, Texas, USA


AUGUST 2015  - JULY 2017

M.S in Aerospace Engineering, The University of Texas at Arlington, Texas, USA

Honors in Leadership
AUGUST 2011  - MAY 2015

B.E in Aeronautical Engineering, Anna University, Chennai, INDIA

Hindusthan College of Engineering and Technology, Coimbatore

Organizations

Society for Advancement of Material and Process Engineering (SAMPE) - North America

American Society for Composites (ASC) 

American Institute of Aeronautics and Astronautics (AIAA)

Institute of Electrical and Electronics Engineers (IEEE)

Omicron Delta Kappa (The National Leadership Honor Society)  

Graduate Student Senate, The University of Texas at Arlington ( August 2015-May 2018 )

Multicultural Affairs, The University of Texas at Arlington ( August 2016 - May 2017 )

Awards

SAMPE 2022 Young Professional Emerging Leadership Award, SAMPE, North America

Outstanding Member of Graduate Student Senate Award, Student Governance, UT Arlington - May 2016

Academic Awards & Scholarships

Professor Wen Chan Memorial Endowed Scholarship Award, MAE, UT Arlington - Year 2020-21

Dr. Alexander Franklyn Doctoral Fellowship, College of Engineering, UT Arlington - Year 2019-20

Kalpana Chawla Endowed Scholarship Award, MAE, UT Arlington - Year 2019-20 

Professor Wen Chan Memorial Endowed Scholarship Award, MAE, UT Arlington - Year 2019-20

Kalpana Chawla Endowed Scholarship Award, MAE, UT Arlington - Year 2018-19

Professor Wen Chan Memorial Endowed Scholarship Award, MAE, UT Arlington - Year 2018-19

Dr. Shamim Sughra Malik Endowed Scholarship Award, College of Engineering, UT Arlington - Year 2017-18

Kalpana Chawla Endowed Scholarship Award, MAE, UT Arlington - Year 2017-18

UTARI STEM Doctoral Fellowship - UTARI, UT Arlington - Year 2017-2020

Honors in Leadership, The University of Texas at Arlington Leadership Center - August 2016

Lawrence W. Stephens Endowed Scholarship Award, College of Engineering, UT Arlington - Year 2016-17

Service to the Profession

Conference Organization

Invited Speaker 

Peer Reviewer 

IOP Trusted Reviewer 

Topical Advisory Board Member

Guest Editor 

Composite Workshop Volunteer
Volunteered at the Annual BSA Composite Materials Workshop, Organized by Bell Helicopters at the Fort Worth Alliance Airshow,  assisting the scouts to make composite hiking sticks. Volunteered on October 15th 2016, October 28th 2017 and October 13th 2018

Service to the Community

Ubuntu Peer Leader
Served as the Ubuntu Peer Leader for the Ubuntu Social Justice Conference, held on November 5 2016 at the University of Texas at Arlington

DFW Airport Ambassador
Volunteered as a ambassador of the Dallas Fort Worth International Airport, assisting passengers with operations, transit along the airport and give them an amazing experience at the Airport during March 2016 to October 2016

Vice - President, Graduate Student Senate

Elected as the Vice-President of the Graduate Student Senate at the University of Texas at Arlington for the Spring 2018 Semester. Also served as the Chair for the resolutions committee

The Silver Standard of the International Award for Young People

DUKE of EDINBURGH 2011

MOOC  

" Learning itself does not scale, because learners own their own learning - Fred Garnett "

" All of the below courses / specializations / professional certificates were done in Coursera.org with full scholarship "

Materials Data Sciences and Informatics - Georgia Tech 

TensorFlow: Data and Deployment - 4 Course Specialization 

DeepLearning.AI TensorFlow Developer - 4 Course Specialization 

AI For Everyone

Deep Learning - 5 Course Specialization 

Machine Learning