Manuel P. Kainz

Manuel Kainz

Graz University of Technology
Institute of Biomechanics
Stremayrgasse 16/2
8010 Graz, Austria

Phone: 0316-873-35511
Phone (overseas): ++43-316-873-35511
E-mail: kainz@TUGraz.at

 

Biography

Education

1/18 – 11/20: M.Sc. Technical Physics, Graz University of Technology, Austria (with distinction)
10/14 – 1/18: B.Sc. Physics, Graz University of Technology, Austria
2013: Graduation certificate from Technical High School (with distinction)

Professional Appointments

Since 5/21: Doctoral Student, Institute of Biomechanics, Graz University of Technology, Austria
12/20 – 1/21: University Assistant at the Institute of Solid State Physics, Graz University of Technology, Austria
10/17 – 8/18: Student Trainee at AVL List GmbH, Graz, Austria

Research Experience

10/19 – 11/20: Master Thesis: "Indexing of Grazing-Incidence X-Ray Diffraction Patterns", Institute of Solid State Physics, Graz University of Technology
7/19 – 8/19: Summer School Program: "Synthesis of TiO2 Nanotube Arrays for Advanced Li-S Battery", Department of Chemical Engineering, Wayne State University, USA
9/17 – 10/17: Bachelor Thesis: "Lumineszenzeigenschaften von porösem Silizium", Department of Experimental Physics, University of Graz

Awards and Honors

2018: ams AG scholarship used for the Erasmus+ Program

Publications

S. Saeidi, M.P. Kainz, M. Dalbosco, M. Terzano and G.A. Holzapfel [pdf]
Histology-informed multiscale modeling of human brain white matter.
Scientific Reports, 13:19641, 2023.
M. Terzano, M.P. Wollner, M.P. Kainz, M. Rolf-Pissarczyk, N. Götzen and G.A. Holzapfel [pdf]
Modelling the anisotropic inelastic response of polymeric scaffolds for in situ tissue engineering applications.
Journal of the Royal Society Interface, 20:20230318, 2023.
M.P. Kainz, A. Greiner, J. Hinrichsen, D. Kolb, E. Comellas, P. Steinmann, S. Budday, M. Terzano and G.A. Holzapfel [pdf]
Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels.
Frontiers in Bioengineering and Biotechnology, 11:1143304, 2023.
L. Legenstein, S. Rodríguez-Hermida, V. Rubio-Giménez, T. Stassin, S. Hofer, M.P. Kainz, M. Fratschko, F. Carraro, P. Falcaro, R. Ameloot and R. Resel [pdf]
Identifying the internal network structure of a new copper isonicotinate thin-film polymorph obtained via chemical vapor deposition.
Advanced Materials Interfaces, 2202461, 2023.
M.P. Kainz, L. Legenstein, V. Holzer, S. Hofer, M. Kaltenegger, R. Resel and J. Simbrunner [pdf]
GIDInd: an automated indexing software for grazing-incidence X-ray diffraction data.
Journal of Applied Crystallography, 54:1256-1267, 2021.

Biographical Sketch

Manuel P. Kainz was born in Wolfsberg, Austria, in 1993. In 2013 he graduated with distinction from the technical high school with a focus on automation and mechatronics. After completing his Civilian Service period, he began studying at Graz University of Technology and the University of Graz (NAWI Graz), where he completed his Bachelor of Science in Physics in 2018. He then enrolled in the master's program in technical physics in Graz. During his studies, he spent two semesters abroad at Uppsala University in Sweden, followed by a two-month summer school program at Wayne State University in Michigan, USA. Manuel carried out his master's thesis under the supervision of Prof. Roland Resel from the Institute of Solid State Physics and in close collaboration with Prof. Josef Simbrunner in Graz, where they developed software for "Indexing of Grazing-Incidence X-Ray Diffraction Patterns". Manuel graduated with distinction in November 2020. In May 2021 he began his doctoral studies at the Institute of Biomechanics at Graz University of Technology. Under the guidance and supervision of Professors Gerhard A. Holzapfel and Gerhard Sommer, his current research focuses on experimental techniques in biomechanics to analyze the relationship between structural and mechanical properties of human brain tissue. In addition to this primary research area, Manuel is actively involved in the development and characterization of soft biomaterials, exploring their potential for biomedical applications and soft tissue engineering.