Alexander Diedrich
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List of Publications

Here you find an overview over research topics and their corresponding publications

Bachelor Thesis

My Bachelor's thesis consists of two parts. The first is a theoretical part serving as a literature search for the Bachelor Thesis. It deals with the evaluation of different natural language processing tools in the context of cyber-physical systems. The thesis itself is about the implementation of the Stanford CoreNLP framework as a natural language processing tool for industrial applications.
  • Implementation of a Natural Language Processing Tool for Cyber-Physical Systems, Bachelor Thesis, Alexander Diedrich, August 2015

Diagnostics

  • Diedrich, Alexander; Böttcher, Björn; Niggemann, Oliver: Exposing Design Mistakes during Requirements Engineering by Solving Constraint Satisfaction Problems to Obtain Minimum Correction Subsets. In: 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), Rome, Feb. 2016
  • Diedrich, A., Feldman, A., Perdomo-Ortiz, A., Abreu, R., Niggemann, O., & de Kleer, J. Applying Simulated Annealing to Problems in Model-based Diagnosis. In: Proceedings of the Workshop on the Principles of Diagnosis, October 2016, Denver, CO​​
  • Diedrich, A.,  Niggemann, O., Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory. 29th Workshop on the Principles of Diagnosis, August 2018, Warsaw, PL
  • Diedrich, A., Maier, A., Niggemann, O. Model-based Diagnosis of Hybrid Sytsems Using Satisfiability Modulo Theory. 33rd AAAI Conference on Artificial Intelligence, January 2019, Honululu, HI
  • Diedrich, A.,  Balzereit, K., Niggemann, O., 5. Fachkonferenz ML4CPS - Machine Learning for Cyber-Physical Systems, March 2020, Berlin, DE

Optimization

  • Diedrich, Alexander, Jens Eickmeyer, Peng Li, Tobias Hoppe, Martin Fuchs, and Oliver Niggemann. „Universal Process Optimization Assistant for Medium-sized Manufacturing Enterprises as Self-learning Expert System“. In: Proceedings of Automation Conference 2017, Baden-Baden, Germany

Natural Language Processing

  • Diedrich, Alexander; Bunte, Andreas; Maier, Alexander, Niggemann, Oliver: Kognitive Architektur zum Konzeptlernen in technischen Systemen. In: Machine Learning for Cyber Physical Systems (ML4CPS 2015), Lemgo, Oct. 2015
  • Natürlichsprachliche Schnittstelle für Produktionssysteme: Andreas Bunte, Alexander Diedrich, Oliver Niggeman. In: Tagungsband des Entwicklerforums "HMI - Komponenten Lösungen", June 2016
  • Bunte, Andreas, Alexander Diedrich, and Oliver Niggemann. "Integrating semantics for diagnosis of manufacturing systems." Emerging Technologies and Factory Automation (ETFA), 2016 IEEE 21st International Conference on. IEEE, 2016.
  • ​Bunte, Andreas, Alexander Diedrich, and Oliver Niggemann. "Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems." In: Proceedings of the Workshop on the Principles of Diagnosis, October 2016, Denver, CO
Quantum Computation
  • Perdomo-Ortiz, A., Feldman, A., Zhu, Z., Ozaeta, A., Isakov, S., Denchev, V., ... & De Kleer, J. (2017). Model-based diagnosis in combinational digital circuits: An application with potential for quantum speedup. Bulletin of the American Physical Society, 62.
  • Perdomo-Ortiz, A., Feldman, A., Ozaeta, A., Isakov, S. V., Zhu, Z., O'Gorman, B., ... & Lackey, B. (2017). On the readiness of quantum optimization machines for industrial applications. Physical Review Applied. ​

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