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IRTG Modern Inverse Problems (MIP)

Kategorie: ‘Student CVs’

Alexandra Heuschling, M.Sc.

04. Februar 2022 | von

 

Contact

Computergrafik und Multimedia
Lehrstuhl für Informatik 8
RWTH Aachen
Ahornstraße 55
52074 Aachen

Office: Room 113
Phone: +49 241 80 21804
Email: heuschling@informatik.rwth-aachen.de

 

Education

01/2022 – Current: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

10/2019 – 12/2021: Master of Science in Computer Science, RWTH Aachen University

10/2016 – 09/2019: Bachelor of Science in Computer Science, RWTH Aachen University

 

 

Chrysanthi Papadimitriou, M.Sc.

15. Dezember 2021 | von

 

Contact

 

Aachen Institute for Advanced Study in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Office: Room 421b
Email: Papadimitriou@aices.rwth-aachen.de

 

Education

October 2021 – Current: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

02/2021 – 07/2021: Erasmus + (Master Thesis), NTNU, Trondheim, Norway

10/2016 – 07/2021: Bachelor and Master of Science in Chemical engineering, NTUA, Athens, Greece

Professional Career

07/2020 – 08/2020 & 10/2020:Internship at ELPEN SA., Research and Development Department, Pikermi, Greece

 

 

Ella Steins, M.Sc.

16. September 2020 | von

Contact

Aachen Institute for Advanced Study in Computational Engineering Science
(AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Office: Room 424
Phone: +49 241 80 99136
Email: steins@aices.rwth-aachen.de

 

 

Education

09/2020 – Current: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

03/2018 – 06/2020: M.Sc. Physical Engineering Science, Technical University of Berlin, Germany

09/2013 – 03/2017 B.Sc. Mechanical Engineering, University of Applied Science Mannheim, Mannheim

 
 

Professional Career

03/2015 – 07/2015, 03/2016 – 07/2016 Student Assistant, Institute for Applied Fluid Dynamics and Thermodynamics, University of Applied Science Mannheim, Mannheim, GE

09/2015 – 02/2016 Mechanical Engineering Internship, University of Maryland, MD, USA

08/2016 – 03/2017 Research Scholar, University of Miami, Fl, USA

07/2019 – 06/2020 Student Assistant, Institute for Fluid Dynamics and Technical Acoustics, TU Berlin, Berlin, GE

11/2019 – 05/2020 Research Scholar, Max-Planck-Institute for Colloids and Interfaces, Potsdam, GE

 

Research Interests

  • Machine Learning
  • Model-Order Reduction
  • Multi-scale Modeling
  • Transpiration Cooling
  • Uncertainty Quantification

 

Publications

  1. Performance Characterization of Multifunctional Wings With Integrated Flexible Batteries for Flapping Wing Unmanned Air Vehicles
    Holness, A., Seins, E., Bruck, H., Peckerara, M., & Gupta, S.K. (2016) 
    Proceedings of the 40th Mechanisms and Robotics Conference, Volume 5, Charlotte, North Carolina, USA. DOI: doi.org/10.1115/DETC2016-60379
  2. Project Scheduling for MRO Work Orders
    – Keles, B., Steins, E., Erkoc, M. (2017)
    In: K. Coperich, E. Cudney, H. Nembhard, (Eds), Proceedings of the 2017 Industrial and Systems Engineering Conference (pp. 1944-1949). Pittsburgh, Pennsylvania, US
  3. Probabilistic Constrained Bayesion Inversion for Transpiration Cooling
    E. Steins, T. Bui-Tanh, M. Herty and S. Müller
    Preprint, https://doi.org/10.48550/arXiv.2203.07122

Arved Bartuska, M.Sc.

17. Juli 2020 | von

Contact

Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Office: Room 431a
Phone: +49 241 80 99137
Email: bartuska@uq.rwth-aachen.de

 

Education

07/2020 – Current: Doctoral Student at RWTH Aachen University, Germany

03/2017 – 01/2020: Masterstudium Mathematik, Universität Wien

10/2012 – 05/2017: Masterstudium Philosphie, Universität Wien

10/2011 – 02/2017: Bachelorstudium Mathematik, Universität Wien

10/2007 – 02/2017: Bachelorstudium Philosophie, Universität Wien

Research Interests

    • optimal experimental design
    • uncertainty quantification
    • parameter estimation

Theses

  • On the relationship between probability theory and Pascal’s Wager. (Master’s Thesis, Universität Wien, 2017)
  • Axiom of choice. (Bachelor’s Thesis, Universität Wien, 2017)
  • Parameter estimation in animal breeding. (Master’s Thesis, Universität Wien, 2020)

 

Publication

      1. Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty
        A. Bartuska, L. Espath and R. Tempone
        Preprint arXiv:2112.06794

 

Aravind Sankaran, M.Sc.

02. August 2019 | von

Contact

Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Office: Room 430
Phone: +49 241 80 99141
Email: sankaran@aices.rwth-aachen.de

 

 

Education

7/2019 – Current: Ph.D. Candidate, IRTG at RWTH Aachen

10/2014 – 05/2017: Master of Science in Simulation Sciences, RWTH Aachen University, Germany

8/2010 – 4/2014: Bachelor of Industrial Engineering, College of Engineering Guindy, Anna University Chennai, India

 

Professional Career

3/2016 – 4/2017: Working student at Informatik 6, RWTH Aachen University, Germany

9/2015 – 2/2016: Working student at Graduate School AICES, RWTH Aachen University, Germany

7/2015 – 12/2016: Working student at JARA HPC, RWTH Aachen University, Germany

 

Research Interests

  • Machine Learning
  • High Performance Computing
  • Operations Research

 

Theses

  • Analyses of convolutional neural networks for automatic taggig of music tracks (Master’s Thesis, RWTH Aachen, Germany, 2017).

 

Publication

  1. Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch
    A. Sankaran, NA. Alashti, C.Psarras and P. Bientinesi
    to appear in IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshop: iWAPT 2022
    Preprint arXiv:2202.09888
  2. Performance Comparison for Scientific Computations on the Edge via Relative Performance
    A. Sankaran and P. Bientinesi
    IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
    2021, pp. 887-895
    doi: 0.1109/IPDPSW52791.2021.00132.
  3. Discriminating Equivalent Algorithms via Relative Performance
    A. Sankaran and P. Bientinesi
    Preprint, arXiv:2010.07226
  4. Machine Learning based Performance Modelling
    A. Sankaran and P. Bientinesi
    Proceedings of the 2020 Joint Workshop of the German Research Training Groups in Computer Science, Dagstuhl, 2020, pp.154

Jan-Christopher Cohrs, M.Sc.

24. Juni 2019 | von

Contact

Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Office: Room 431a
Phone: +49 241 80 99138
Email: cohrs@aices.rwth-aachen.de

 

 

Education

06/2019 – Current: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

04/2016 – 05/2019: Master of Science in Mathematics, RWTH Aachen University, Germany

10/2011 – 12/2015: Bachelor of Science in Mathematics, University of Göttingen, Germany

 

Professional Career

07/2015 – 03/2019: Working student at Grumbrecht Engineering, Wolfsburg, Germany

 

Research Interests

  • Signal and Image Processing
  • Machine Learning

 

Publication

  1. A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation
    J.-C. Cohrs, C. Bajaj and B. Berkels
    Preprint, arXiv:2203.15058
    Submitted to IEEE Transactions on Geoscience and Remote Sensing

 

Janis Born, M.Sc.

03. April 2019 | von

Contact

Visual Computing Institute   
RWTH Aachen University
Informatik 8
Mies-van-der-Rohe-Straße
52074 Aachen

Phone: +49 241 8021803
Fax: +49 241 8022899
Email: born@cs.rwth-aachen.de

 

Education

10/2018 – 03/2022: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

10/2012 – 7/2015: Master of Science in Computer Science, RWTH Aachen University

10/2009 – 9/2012: Bachelor of Science in Computer Science, RWTH Aachen University

 

Publications

 

  • Surface Map Homology
    J. Born, P. Schmidt, M. Campen, L. Kobbelt
    Computer Graphics Forum 40.5 
    DOI: https://doi.org/10.1111/cgf.14367
    (Won the Best Paper Award at the Eurographics Symposium on Geometry Processing 2021.)
  • Layout Embedding via Combinatorial Optimization
    J. Born, P. Schmidt, L. Kobbelt
    Computer Graphics Forum 40.2
    DOI: https://doi.org/10.1111/cgf.142632
    (Received an honorable mention for the Günter Enderle Best Paper Award at Eurographics 2021.)
  • Inter-Surface Maps cia Constant-Curvature Metrics
    P. Schmidt, M. Campen, J. Born, L. Kobbel
    ACM Transactions on Graphics 39.4
    DOI: https://doi.org/10.1145/3386569.3392399
  • Distortion-Minimizing Injective Maps Between Surfaces
    P. Schmidt, J. Born, M. Campen, L. Kobbelt
    ACM Transactions on Graphics 38.6 
    DOI: https://doi.org/10.1145/3355089.3356519
     
     
     

 

 

 

 

Zhouji Liang, M.Sc.

02. April 2019 | von

Contact

Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Office: Room 431b
Phone: +49 241 80 99139
Email: liang@aices.rwth-aachen.de

 

Education

4/2019 – present: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

9/2017 – 11/2018: Master of Science in Petroleum Geoscience, Imperial College London, UK

2011 – 2015: Bachelor of Science in Geophysics, University of Edinburgh, UK

 

Professional Career

5/2018 – 9/2018: Geoscientist internship at GeoTeric, London
11/2018 – 3/2019: Research assistant at Karlsruhe Institute of Technology (KIT)
 
 

 

Thesis

  • Transport- and Detachment-limited erosion model with variable boundary conditions (Bachelor’s Thesis at the University of Edinburgh)
  • Seismic Signal from Digital Rocks (Bachelor’s Thesis at the University of Edinburgh)
  • Fault Expressions and their Relation to Lithology (Master’s Thesis at Imperial College London)

 

Research Interests

  • Geostatistics
  • Geomodeling
  • Inverse problem
  • Machine learning
  • Rock mechanics

 

Publications

  1. Uncertainty quantification of geological model parameters in 3D gravity inversion by Hessian informed Markov chain Monte Carlo
    Z. Liang, F. Wellmann and O. Ghattas
    Preprint, EarthArXiv:10.31223
 

 

Stefan Wittschieber, M.Sc.

13. März 2019 | von

Contact

Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2

52062 AachenOffice: Room 424
Phone: +49 241 80 99135
Email: wittschieber@aices.rwth-aachen.de

 

 

Education

03/2019 – present: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

2015 – 2018: Master of Science in Physikalische Ingenieurwissenschaft (Engineering science), Technical University of Berlin, Germany

2011 – 2015: Bachelor of Science in Physikalische Ingenieurwissenschaft (Engineering science), TU Berlin, Germany

 

Theses

  • DPG and Novel Stabilized Finite-Element Methods for Complex Fluids, Doctoral Thesis, IRTG-2379, RWTH Aachen University
  • Development of a stabilized finite element discretization of the linearised Euler equations for thermoacousktic stability problems, Master’s Thesis, Institut für Strömungsmechnanik und Technische Akustik, Berlin, Germany
  • Evaluation of hyper viscosity in flows with discontinuities for skew-symmetric formulation, Bachelor’s Thesis, Institut für Strömungsmechnanik und Technische Akustik, Berlin, Germany

 

 

Research Interests

  • Stabilized finite elements
  • Discontinuous Petrov-Galerkin methods
  • Viscoelastic fluids

 

Publication

  1. Stabilized finite element methods for a fully-implicit logarithmic reformulation of the Oldroyd-B constitutive law
    S.Wittschieber, L. Demkowicz and M. Behr
    arXiv:2112.06829 (preprint)

 

Konstantin Key, M.Sc.

14. November 2018 | von

 

Contact

Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2

52062 AachenOffice: Room 424
Phone: +49 241 80 99135
Email: key@aices.rwth-aachen.de

 

Education

12/2018 – Current: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany
04/2017 – 11/2018: Master of Science in Computational Engineering Science, RWTH Aachen University, Germany
10/2013 – 03/2017: Bachelor of Science in Computational Engineering Science, RWTH Aachen University, Germany

 

Professional Career

11/2017 – 06/2018: Research assistant at Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen, Germany
09/2016 – 03/2017: Intern at Maritime Research Institute Netherlands (MARIN), Wageningen, The Netherlands
12/2015 – 09/2016: Research assistant at Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen, Germany

 

Research Interests

  • Optimization of Primary Manufacturing Processes like Injection Molding: modeling and simulation of solidification of semi-crystalline polymers using isogeometric analysis (IGA)
  • Modeling of Materials: unified first order hyperbolic model for heat-conducting viscous fluids & elastic solids (HPR model)
  • Fluid-Structure Interaction: thermomechanical analysis using finite element methods (FEM), 3D flow by NURBS-enhanced FEM (NEFEM)

 

Theses

  • Macroscale Modeling of Solidification of Semi-Crystalline Polymers and Implementation of Suitable Methods,
    Master’s Thesis, Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen, Germany 2018
  • Theory of Fluid-Structure Interaction and Implementation of a Structural Solver for Elastodynamics in ReFRESCO, Bachelor’s Thesis, Maritime Research Institute Netherlands (MARIN),  Wageningen, The Netherlands 2017

 

Publications

  1. SplineLib: A modern multi purpose C++ library
    M. Frings, N. Hosters, C. Müller, M. Spahn, C. Susen, K. Key and S. Elgeti
    Advances in Engineering Software, 2020, 146, pp. 102826
    doi: 10.1016/j.advengsoft.2020.102826
  2. SplineLib
    M. Frings, A. Jodlauk, K. Key, C. Müller, M. Spahn, C. Susen, K. Varbenov, M. Behr and S. Elegti
    doi: 10.5281/zenodo.1320259 (now relocated)