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Home  |  Members  |  Wulkow, Dr. Niklas

Wulkow, Dr. Niklas

Position: 
Guest
Room: 
4036
Division: 
Mathematics of Complex Systems
Department: 
Modeling and Simulation of Complex Processes
Research group: 
Computational Molecular Design
Mail: 
niklas.wulkowzib.de

Projects

Member

Modeling and Simulation of Innovation Spreading in Ancient Societies
Data-driven Modeling of the Romanization Process of Northern Africa

Publications

2021 2018 2017

2021

Joshua Driesen, Ziad El-Khatib, Niklas Wulkow, Mitchell Joblin, Iskriyana Vasileva, Andreas Glücker, Valentin Kruspel, Catherine Vogel Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts International Journal of Environmental Research and Public Health, 18(9765), pp. 1-29, 2021 BibTeX
DOI
Niklas Wulkow, Péter Koltai, Vikram Sunkara, Christof Schütte Data-driven modelling of nonlinear dynamics by barycentric coordinates and memory arXiv, p. 2112.06742, 2021 (under review) BibTeX
arXiv
Klaus-Dieter Hungenberg, Christian Schwede, Michael Wulkow, Niklas Wulkow Determination of reactivity ratios for acrylic acid and its dimer from classical parameter estimation and Bayesian approach Canadian Journal of Chemical Engineering, pp. 1-10, 2021 BibTeX
DOI
Niklas Wulkow, Regina Telgmann, Klaus-Dieter Hungenberg, Christof Schütte, Michael Wulkow Deterministic and Stochastic Parameter Estimation for Polymer Reaction Kinetics I: Theory and Simple Examples Macromolecular Theory and Simulations, Vol.30, 2021 BibTeX
DOI
Niklas Wulkow, Péter Koltai, Christof Schütte Memory-Based Reduced Modelling and Data-Based Estimation of Opinion Spreading Journal of Nonlinear Science, Vol.31, 2021 BibTeX
DOI

2018

Natasa Djurdjevac Conrad, Daniel Fuerstenau, Ana Grabundzija, Luzie Helfmann, Martin Park, Wolfram Schier, Brigitta Schütt, Christof Schütte, Marcus Weber, Niklas Wulkow, Johannes Zonker Mathematical modeling of the spreading of innovations in the ancient world eTopoi. Journal for Ancient Studies, Vol.7, 2018 PDF
BibTeX

2017

Niklas Wulkow Modelling the Spread of Innovations by a Markov Process in a Bayesian Framework Master's thesis, Freie Universität Berlin, Christof Schütte, Marcus Weber (Advisors), 2017 PDF
BibTeX
URN
Tim Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander Benedikt Leichtle, Jan Vybiral, Gitta Kytyniok, Christof Schütte Sparse Proteomics Analysis – a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data BMC Bioinfomatics, 18(160), 2017 BibTeX
DOI
  • Research
    • Solutions for Individualized Medicine
    • Molecular and Biological Processes
    • Materials and Optical Processes
    • Combinatorics and MINLP
    • MSO for Multiscale Systems
    • Robust Solutions under Uncertainty
    • Digital Humanities
    • Efficient Infrastructure and Logistics
    • Large-Scale Data Management, Curation & Analysis
    • Highly Parallel Computing
    • Scalable and Fault-Tolerant Algorithms
    • Publications
    • Books
    • Features
  • Institute
    • Research Campus MODAL
    • Intel oneAPI CoE
    • Joint Lab Optics
    • Oracle Center of Excellence
    • Organization
    • Organizational Chart
    • Committees and Regulations
    • Spin-Offs
    • Konrad Zuse
    • Hall of Fame
  • Research Services
    • NHR Center at ZIB
    • Supercomputing
    • Data Archive
    • KOBV
    • BRAIN
    • Software
    • Room Reservation
    • Library
  • Members
  • Training & Outreach
    • Graduate Students
    • Scholarships
    • Lectures
    • Trainee Openings
    • Schools
    • Press
    • Public Events
    • Guided Tours
    • Alumni
    • Topics for theses
  • Contact