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IRTG Modern Inverse Problems (MIP)

Kategorie: ‘Student CVs’

Donat Weniger, M.Sc.

23. September 2022 | von

Contact

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

 

Office: Room 431b
Email: weniger@acom.rwth-aachen.de

 

 

Education

08/2022 – Present: Ph.D. Candidate, IRTG MIP at RWTH Aachen University, Germany

10/2020 – 08/2022: Master of Science (M.Sc.) Computational Engineering Science, RWTH Aachen University, Germany

10/2016 – 09/2020: Bachelor of Science (B.Sc.) Computational Engineering Science, RWTH Aachen University, Germany

 

Professional Career

10/2020 – 08/2022: Scientific Assistant, Institute for Applied and Computational Mathematics at RWTH Aachen University, Germany

10/2019 – 03/2020: Internship and Bachelor Thesis at ABB Corporate Research, Dättwil, Switzerland

04/2018 – 09/2019: Student Assistant, Center for Computational Engineering Science (Mathematics Division) at RWTH Aachen University, Germany

10/2017 – 03/2018: Student Teaching Assistant, Process Systems Engineering at RWTH Aachen University, Germany

 

Research Interests

  • Mathematical modeling
  • Kinetic gas theory, Boltzmann equation and rarefied gases
  • Numerical methods for PDEs

 

Publications

  • Kirchhart, M., & Weniger, D. (2021). Analytic integration of the Newton potential over cuboids and an application to fast multipole methods. In Journal of Numerical Mathematics (Vol. 30, Issue 2, pp. 109–120). Walter de Gruyter GmbH. https://doi.org/10.1515/jnma-2020-0103

Nico Dirkes, M.Sc.

03. August 2022 | 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 99925
Email: dirkes@aices.rwth-aachen.de

 

 

Education

07/2022 – Present: Ph.D. Candidate, IRTG MIP at RWTH Aachen University, Germany

04/2021 – 06/2022: Master of Science (M.Sc.) Computational Engineering Science, RWTH Aachen University, Germany

10/2016 – 03/2021: Bachelor of Science (B.Sc.) Computational Engineering Science, RWTH Aachen University, Germany

 

Professional Career

04/2021 — 06/2022: Student Research Assistant, Chair for Computational Analysis of Technical Systems at RWTH Aachen University, Germany

10/2019 — 12/2019: Intern, windwise GmbH, Münster, Germany

04/2018 — 09/2018: Student Teaching Assistant, Data Structures and Algorithms, Chair for Software Modeling and Verification at RWTH Aachen University, Germany

10/2017 — 03/2018: Student Teaching Assistant, Calculus, Chair for Applied and Computational Mathematics at RWTH Aachen University, Germany

 

Research Interests

  • Nonlinear finite element methods for computational fluid dynamics (CFD)
  • Hemolysis modeling
  • Fusion of medical imaging and CFD

 

Theses

  • Advanced Strategies for Improving Physics-Informed Neural Networks as Reduced Simulation Models (Master’s Thesis, Chair for Computational Analysis of Technical Systems, RWTH Aachen University, 2022)
  • Numerical Investigation of Tonal Noise Emissions of a Ducted Fan for a Hybrid Electric Small Aircraft (Bachelor’s Thesis, Institute of Jet Propulsion and Turbomachinery, RWTH Aachen University, 2021)

 

V Mithlesh Kumar, M.Sc.

01. August 2022 | 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 99210
Email: kumar@mbd.rwth-aachen.de

 

Education

05/2022 – present: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany.

10/2019 – 04/2022: Master of Science in Computational Mechanics, University of Duisburg-Essen, Germany

07/2012 – 05/2016 : Bachelor of Engineering in Mechanical Engineering, Birla Institute of Technology – Mesra, India

 

Professional Career

07/2016 – 12/2017 : Senior Executive, Hyundai Motor India Ltd., India

 

Research Interests

  • Bayesian statistics
  • Data driven modelling
  • Non linear finite element methods

 

Theses

  • Investigation and Implementation of Elastoplastic Behavior of Sea Ice (Master’s Thesis, Institute of Mechanics, University of Duisburg Essen, Germany, 2022)

 

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
    Int J Numer Meth Fluids. 2022;1-20. doi: 10.1002/fld.5135 

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
    IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2022
    DOI: 10.1109/IPDPSW55747.2022.00150
  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.15
  5. A Test for FLOPs as a Discriminant for Linear Algebra Algorithms
    A. Sankaran and P.Bientinesi
    2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
    DOI: 10.1109/SBAC-PAD55451.2022.00033

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

 

Dr. Janis Born

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