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About me
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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2020
This article was submitted for publication and details a Vanilla LSTM applied to a Battery This article was submitted for publication and details a Vanilla LSTM applied to a Battery time-series dataset
Recommended citation: Citation pending http://Tov-Nephesh.github.io/files/Article1.pdf
Published in Journal of Energy and Power Technology, 2020
This paper is a continuation of the study from article 1. It takes a deeper dive into the topic of Deep Learning for a HEV application.
Recommended citation: Hespeler, Steven. (2020). "Paper Title Number 2." Journal 1. 1(2). http://tov-nephesh.github.io/files/JEPT_article_v4[9390].pdf
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I presented at the 1st International Workshop on Quality and Productivity, located at the Universidad Autonoma de BajaCalifornia, in Ensendada, Baja California, MX. This presentation was focused on presenting Random Forest techniques for identifying the most influential physical battery parameters in a predictive battery model.
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This presentation was performed for the 1st Colloquium of Engineering and Technology, located at the Universidad Autonoma de Ciudad Juarez, Ciudad Juarez, MX. Here I presented Machine Learning techniques for identifying and quantifying parameter importance for batteries.
Workshop, New Mexico State University, Department of Industrial Engineering, 2017
Summer long workshop focused towards teaching undergraduate students advanced IE topics. I was one of several teachers participating in the program.
Graduate/Undergraduate Lecture, New Mexico State University, Department of Industrial Engineering, 2017
This class was split between online and in-class lectures with graduate and undergraduate students.
Undergraduate Lecture, New Mexico State University, Department of Industrial Engineering, 2018
IE manufacturing processes lab.