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Arbeitsgruppe Rechnerarchitektur / AGRA | Informatik | FB03 | Universität Bremen

Dipl. Inf., Dipl. Math. Christina Plump


Die Verifikation von kryptographischen Sicherheitseigenschaften bildet das Hauptgebiet meiner Forschung. Hierbei verbinde ich meine Interesse für Kryptologie, Algebra, Zahlentheorie, Logiken und Beweistechniken, um für die Praxis relevante und gleichzeitig ganzheitliche Beweise für Sicherheitseigenschaften zu finden.

WiMi

KI-gestützte Optimierung repetitiver Prozesse - Eine Kodierungstechnik für repetitive Prozesse in der evolutionären Optimierung
Autor: Christina Plump, Bernhard J. Berger, Rolf Drechsler
Zeitschrift: Industrie 4.0 Management
Details: DOI: 10.30844/IM_23-1_19-22, IM 39, pp. 19-22 (2023)

AI-Driven and Automated MRI Sequence Optimization in Scanner-Independent MRI Sequences Formulated by a Domain-Specific Language
Autor: Daniel Christopher Hoinkiss, Jörn Huber, Christina Plump, Christoph Lüth, Rolf Drechsler, Matthias Günther
Zeitschrift: Frontiers in Neuroimaging
Details: DOI: 10.3389/fnimg.2023.1090054, Volume 2-2023 (2023)

Experimental Methods to Enable High-Throughput Characterization of New Structural Materials
Autor: Nils Ellendt, Brigitte Clausen, Nicole Mensching, Daniel Meyer, Christina Plump, Heike Sonnenberg, Matthias Steinbacher, Anastasiya Tönjes
Zeitschrift: JOM: the journal of the Minerals, Metals & Materials Society
Details: DOI: 10.1007/s11837-021-04901-w, JOM 73, 3347–3355 (2021)

Measurement and evaluation of calorimetric descriptors for the suitability for evolutionary high-throughput material development
Autor: Anastasiya Toenjes, Heike Sonnenberg, Christina Plump, Rolf Drechsler, Axel von Hehl
Zeitschrift: Metals
Details: DOI: 10.3390/met9020149, Volume 9 (2), 149; (2019)

Evaluation of (power) side-channels in cryptographic implementations
Autor: Florian Bache, Christina Plump, Jonas Wloka, Tim Güneysu, and Rolf Drechsler
Zeitschrift: it – Information Technology
Details: DOI: 10.1515/itit-2018-0028, Volume 61(1) (2019)

Energy-Efficient CNN inferencing on GPUs with Dynamic Frequency Scaling
Autor: Rolf Drechsler, Christopher Metz, und Christina Plump
Konferenz: International Conference on Innovations in Data Analytics (ICIDA)
Pdf | Referenz: West Bengal, India, 2023

Hybrid PTX Analysis for GPU accelerated CNN inferencing aiding Computer Architecture Design
Autor: Christopher Metz, Christina Plump, Bernhard J. Berger, Rolf Drechsler
Konferenz: Forum on Specification & Design Languages (FDL)
Pdf | Referenz: Turin, Italy, 2023

EvoAl: A domain-specific language-based approach to optimisation
Autor: Bernhard J. Berger, Christina Plump, Rolf Drechsler
Konferenz: IEEE 2023 Congress on Evolutionary Computation (CEC)
Referenz: Chicago, 2023

Repetitive Processes and their surrogate-model congruent encoding for evolutionary algorithms - A theoretic proposal
Autor: Christina Plump, Bernhard J. Berger, Rolf Drechsler
Konferenz: The Genetic and Evolutionary Computation Conference (GECCO)
Referenz: Lisbon, Portugal, 2023

Using density of training data to improve evolutionary algorithms with approximative fitness functions
Autor: Christina Plump, Bernhard J. Berger, Rolf Drechsler
Konferenz: Congress of Evolutionary Computation (CEC)
Pdf | Referenz: Padua, Italien, 2022

Adapting mutation and recombination operators to range-aware relations in real-world application data
Autor: Christina Plump, Bernhard J. Berger, Rolf Drechsler
Konferenz: The Genetic and Evolutionary Computation Conference (GECCO Companion)
Referenz: Boston, USA, 2022

Choosing the right technique for the right restriction - a domain-specific approach for enforcing search-space restrictions in evolutionary algorithms
Autor: Christina Plump, Bernhard Berger, Rolf Drechsler
Konferenz: LDIC-2022
Pdf | Referenz: Bremen, Germany

Domain-driven correlation-aware recombination and mutation operators for complex real-world applications
Autor: Christina Plump, Bernhard J. Berger, Rolf Drechsler
Konferenz: IEEE Congress on Evolutionary Computation (CEC)
Pdf | Referenz: Kraków, Poland, 2021

Improving evolutionary algorithms by enhancing an approximative fitness function through prediction intervals
Autor: Christina Plump, Bernhard J. Berger, Rolf Drechsler
Konferenz: IEEE Congress on Evolutionary Computation (CEC)
Pdf | Referenz: Krakow, Poland, 2021

Combining Machine Learning and Formal Techniques for Small Data Applications - A Framework to Explore New Structural Materials
Autor: Rolf Drechsler, Sebastian Huhn, Christina Plump
Konferenz: Euromicro Conference on Digital System Design (DSD)
Pdf | Referenz: Portorož, Slowenien, 2020

Building Fast Multi-Agent Systems using Hardware Design Languages for High-Throughput Systems
Autor: Jannis Stoppe, Christina Plump, Sebastian Huhn, Rolf Drechsler
Konferenz: 6th International Conference on Dynamics in Logistics (LDIC)
Pdf | Referenz: Bremen, Germany, 2018

Confident Leakage Assessment - A Side-Channel Evaluation Framework based on Confidence Intervals
Autor: Florian Bache, Christina Plump, Tim Güneysu
Konferenz: Design, Automation and Test in Europe (DATE)
Referenz: Dresden, Germany, 2018

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