Kategorie: ‘Student CVs’
Alexandra Heuschling, M.Sc.
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.
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.
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
- 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 - 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 - Probabilistic Constrained Bayesion Inversion for Transpiration Cooling
Arved Bartuska, M.Sc.
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
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- 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
-
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- Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty
A. Bartuska, L. Espath and R. Tempone
Preprint arXiv:2112.06794
- Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty
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Aravind Sankaran, M.Sc.
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
- 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 - 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. - Discriminating Equivalent Algorithms via Relative Performance
A. Sankaran and P. Bientinesi
Preprint, arXiv:2010.07226 - 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.
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
- 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.
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.
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
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
- 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.
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
- 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.
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
Professional Career
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
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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
- 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
- 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)