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Head of the group

Prof. Dr. Matthias G.R. Faes

Email: matthias[dot]faes[at]tu-dortmund[dot]de

Tel.: +49 231 755-6830

Room: Maschinenbaugebäude 1, Raum U03

Zoomhttps://tu-dortmund.zoom.us/my/matthias.faes

Google Scholar: Link

ResearchGate: Link

Picture of Professor Matthias Faes © Felix Schmale​/​TU Dortmund

Research interests

  • Inverse methods for uncertainty quantification, including interval techniques as well as Bayesian model updating schemes
  • Advanced numerical propagation schemes for uncertainty analysis and quantification
  • Reliability analysis and reliability based design optimization under scarce data
  • Imprecise probabilistic concepts for robust uncertainty quantification

Teaching

Reliability Analysis

Further information

2009 - 2012: Bachelor of Science in Engineering Technology - Manufacturing Engineering (finished magna cum laude) at the Lessius University of Applied Sciences, St.-Katelijne-Waver, Belgium.

2012 - 2013: Master of Science in Engineering Technology - Manufacturing Engineering (finished summa cum laude) at the Thomas More University of Applied Sciences. St.-Katelijne-Waver, Belgium. Dissertation title: Extrusion based Additive Manufacturing of ceramic components

2013 - 2017: Research Associate, doctoral student in Engineering Technology at the KU Leuven, Department of Mechanical Engineering (graduated 10.2017).

2017 - 2018: Postdoctoral fellow in the  R2D Group  at the KU Leuven, Department of Mechanical Engineering

2018 - 2022: Postdoctoral fellow of the Flemish Research Foundation, working at the   R2D Group

2020 - 2022: Postdoctoral fellow of the Alexander von Humboldt foundation at the Institute for Risk and Reliability of the Leibniz University in Hannover

Since 02.2022: Full Professor in Reliability Engineering at the Faculty of Mechanical Engineering, TU Dortmund University

Editorial work and representation

2021 - now: Editor at Mechanical Systems and Signal Processing (link)

2021 - now: Associate Editor at the ASME Open Journal of Engineering (link)

2022 - now: Associate Editor at the ASCE/ASME Journal for Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering (link

2022 - now: Associate Editor at the ASCE/ASME Journal for Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering

2021 – now: Full member of the American Society of Civil Engineers

2022 – now: Full Member of the American Society of Mechanical Engineers

2022: International Technical Committee Chair ISRERM 2022

2023: Scientific Committee member of UNCECOMP2023

Awards

2020 - Willy Asselman Foundation: Award for research excellence in honor of em. Prof. Willy Asselman, honoring excellent young researchers at Campus De Nayer of KU Leuven

2019 - SIPTA: IJAR Young Researcher Award for research excellence in imprecise probabilities (link)

2018 - ECCOMAS: ECCOMAS Award for the two best Ph.D. theses in 2017 on computational methods in applied sciences and engineering in Europe (link)

2018 - BNCTAM: Laureate of the Award for the Best PhD Thesis of 2017 by the Belgian National Committe for Theoretical and Applied Mechanics

2016 - CIRP, JSEME: Excellent paper award and semi-plenary lecture during the ISEM XVIII conference on Electro Physical and Chemical Machining

  1. Faes M., Moens D. (2019). Recent Trends in the Modeling and Quantification of Non-probabilistic Uncertainty. Archives of Computational Methods in Engineering 1-39. doi: 10.1007/s11831-019-09327-x
  2. Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., Moens, D. (2019). A multivariate interval approach for inverse uncertainty quantification with limited experimental data. Mechanical Systems and Signal Processing, 118, 534-548. doi: 10.1016/j.ymssp.2018.08.050 
  3. Faes, M., Valdebenito, M. (2020). Fully Decoupled Reliability-Based Design Optimization of Structural Systems Subject to Uncertain Loads. Computer Methods In Applied Mechanics And Engineering371, Art.No. 113313. doi: 10.1016/j.cma.2020.113313
  4. Faes, M., Daub, M., Marelli, S., Patelli, E., Beer, M. (2021). Engineering analysis with probability boxes: a review on computational methods. Structural Safety, Art.No. 102092. doi: 10.1016/j.strusafe.2021.102092
  5. Faes, M., Valdebenito, M.A., Moens, D., Beer, M. (2021). Operator norm theory as an efficient tool to propagate hybrid uncertainties and calculate imprecise probabilities. Mechanical Systems And Signal Processing152, Art.No. 107482. doi: 10.1016/j.ymssp.2020.107482

Calendar

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Location & approach

The campus of TU Dort­mund University is located close to interstate junction Dort­mund West, where the Sauerlandlinie A 45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dort­mund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dort­mund-Dorstfeld” (closer to North Campus). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dort­mund.

To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

TU Dort­mund University has its own train station (“Dort­mund Uni­ver­si­tät”). From there, suburban trains (S-Bahn) leave for Dort­mund main station (“Dort­mund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The uni­ver­si­ty is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dort­mund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop “Dort­mund Kampstraße”. From there, take U43 or U44 to the stop “Dort­mund Wittener Straße”. Switch to bus line 447 and get off at “Dort­mund Uni­ver­si­tät S”.

Dort­mund Airport offers flights to several destinations in Central Europe. There are regular connections to Katowice, Kraków, London and Munich. For the approximately 20km-trip from Dort­mund Airport to TU Dort­mund University, you can use a shuttle bus to the railway Station "Bahnhof Holzwickede", from which trains depart to Dort­mund main station (please visit Verkehrsverbund Rhein-Ruhr for more in­for­mation). Normally, the fastest way is to catch a taxi at Dort­mund Airport.

The H-Bahn is one of the hallmarks of TU Dort­mund University. There are two stations on North Campus. One (“Dort­mund Uni­ver­si­tät S”) is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.

Site Map of TU Dortmund University (Second Page in English).