Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Project Report: Optimize a Single Track Vehicle Model with Non-linear State-Feedback Controller (unpublished)
Published in (unpublished), 2020
This paper worked as a final project report for the engineering cybernetics graduate project competition in advanced concepts of control theory. It describes a the development of the used control algorithms as well as the optimization of the race trajectory.
Recommended citation: Schmitz, Maximilian, Ruehle, Josias. (2020). "Project Report: Optimize a Single Track Vehicle Model with Non-linear State-Feedback Controller ." (unpublished). https://github.com/sjmxschm/sjmxschm.github.io/raw/master/files/KRT_reportGroup20.pdf
Gaussian Processes for Automatic Controller Gains Tuning in Robotics and Control (unpublished)
Published in (unpublished), 2020
This paper was the final documentation in the class ECE6254 Statistical Machine Learning and describes the use of Gaussian processes for automatic and safe controller gains tuning.
Recommended citation: Schmitz, Maximilian, Gray, Justin, Oh, Jaeyo, Lu, Yuwei, Kanwar, Bharat (2022). "Gaussian Processes for Automatic Con- troller Gains Tuning in Robotics and Control." (unpublished). https://github.com/sjmxschm/sjmxschm.github.io/raw/master/files/ece_6254_gps_project_report.pdf
Deep Learning in Ultrasonic Wave Inversion for Thin Coatings
Published in Georgia Tech, 2022
This research focuses on the use of machine and deep learning to non-destructively characterize the quality of a coating in a layered system in terms of thickness and uniformness.
Recommended citation: Maximilian Schmitz, Deep Learning in Ultrasonic Wave Inversion for Thin Coatings, Master’s Thesis, Georgia Institute of Technology, Atlanta, GA, 2022. http://hdl.handle.net/1853/66518
Machine and Deep Learning for Coating Thickness Prediction using Lamb Waves
Published in Wave Motion, 2022
This research investigates the use of machine and deep learning methods for wave inversion in nondestructive evaluation.
Recommended citation: Maximilian Schmitz, Jin-Yeon Kim, Laurence J. Jacobs, Machine and deep learning for coating thickness prediction using Lamb waves, Wave Motion, Volume 120, 2023, 103137, ISSN 0165-2125, https://doi.org/10.1016/j.wavemoti.2023.103137. https://www.sciencedirect.com/science/article/abs/pii/S0165212523000239
Deep learning-assisted locating and sizing of a coating delamination using ultrasonic guided waves
Published in SPIE Smart Structures + Nondestructive Evaluation, 2024
This research investigates the use of an LSTM to predict interfacial conditions on a coated plate.
Recommended citation: Junzhen Wang, Maximilian Schmitz, Laurence J. Jacobs, and Jianmin Qu, Deep learning-based prediction of interfacial conditions in coated plates using guided waves, Proc. SPIE 12951, Health Monitoring of Structural and Biological Systems XVIII, 129511F (9 May 2024); https://doi.org/10.1117/12.3010200. https://doi.org/10.1117/12.3010200
Deep learning-assisted locating and sizing of a coating delamination using ultrasonic guided waves
Published in Ultrasonics, 2024
This research investigates the use of deep learning for the use in a delamination evaluation technique by using guided wave time-space images.
Recommended citation: Junzhen Wang, Maximilian Schmitz, Laurence J. Jacobs, Jianmin Qu, Deep learning-assisted locating and sizing of a coating delamination using ultrasonic guided waves, Ultrasonics, Volume 141, 2024, 107351, ISSN 0041-624X, https://doi.org/10.1016/j.ultras.2024.107351. https://www.sciencedirect.com/science/article/abs/pii/S0165212523000239
teaching
Mechanics 2
Undergraduate course, University Duisburg-Essen, Faculty of Engineering, 2018
Substitute lecturer for 300+ students in Mechanics 2, a class by the Chair of Mechanics and Robotics and Prof. Andres Kecskemethy at the University Duisburg-Essen. Topics taught were rigid body kinematics, fundamentals of kinetics and rigid body kinetics.
Guest lecture on Electronic Dance Music Production
Guest lecture, Georgia Tech, School of Music, 2021
Hold invited guest lecture on production of Electronic Dance Music (EDM) within the class MUSI6103 by Prof. Nat Condit-Schultz at the Georgia Institute of Technology. EDM is a popular field of music, though the spread and popularity is limited in the US. My talk helped to give an understanding of what EDM is, what it sounds like, and what fundamental production methods exist.