Summary
I am a research associate in the Computational Logic and Argumentation group working on the ADIX (Argumentation-based Deep Interactive eXplanations) project. My research interests include
- Argumentation
- Explainable AI
- Hybrid AI/ Neuro-symbolic AI
- Uncertain Reasoning
- Inconsistency Tolerance
- Knowledge Graphs
- Applied Optimization
- Algorithm engineering and analysis
Before joining Imperial in 2022, I had previous academic positions at
- the Analytic Computing group at the University of Stuttgart (Research & Teaching, 2020-2022),
- the Artificial Intelligence group at the University of Osnabrück (Research & Teaching, 2016-2020),
- the Knowledge-based Systems group at the University of Hagen (PhD student & Research assistant, 2011-2015)
and spent research visits at
- the Automata Theory group at the University of Dresden (3/2019),
- the Intelligent Systems group at University College London (2/2017 and 3/2018),
- the Artificial Intelligence group at the University of Mannheim (12/2015),
- the Research Centre for Knowledge and Data at the University of Bolzano (11/2015).
Since 2016, I gave more than 20 courses in the area of Artificial Intelligence. My teaching portfolio includes courses on
- Artificial Intelligence (Introduction and Advanced),
- Probabilistic Reasoning,
- Nature-inspired Algorithms,
- Multiagent Systems,
- Knowledge Graphs,
- Time Series Analysis and Forecasting.
Before studying Computer Science (2005-2010), I worked in Electronics (2000-2001) and Logistics (2001-2004). After finishing my MSc, I worked as a software engineer on Enterprise resource planning (2010-2011) before starting my PhD.
Selected Publications
Journal Articles
Potyka N, 2019, A polynomial-time fragment of epistemic probabilistic argumentation, International Journal of Approximate Reasoning, Vol:115, ISSN:0888-613X, Pages:265-289
Potyka N, Thimm M, 2017, Inconsistency-tolerant reasoning over linear probabilistic knowledge bases, International Journal of Approximate Reasoning, Vol:88, ISSN:0888-613X, Pages:209-236
Conference
Potyka N, 2021, Interpreting Neural Networks as Quantitative Argumentation Frameworks, Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI Press, Pages:6463-6470
Potyka N, 2020, Abstract Argumentation with Markov Networks, 24th European Conference on Artificial Intelligence, IOS Press, Pages:865-872
Potyka N, 2019, Extending Modular Semantics for Bipolar Weighted Argumentation, Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS ’19), International Foundation for Autonomous Agents and Multiagent Systems, Pages:1722-1730
Potyka N, 2018, Continuous Dynamical Systems for Weighted Bipolar Argumentation, Proceedings of the Sixteenth International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), AAAI Press, Pages:148-157
Potyka N, Acar E, Thimm M, et al., 2016, Group Decision Making via Probabilistic Belief Merging, The Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016), IJCAI/AAAI Press, Pages:3623-3629
Potyka N, Thimm M, 2015, Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures, The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), AAAI Press, Pages:3156-3163
Potyka N, 2014, Linear Programs for Measuring Inconsistency in Probabilistic Logics, The 14th International Conference on Principles of Knowledge Representation and Reasoning, AAAI Press
Potyka N, Thimm M, 2014, Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization, The 21st European Conference on Artificial Intelligence, IOS Press, Pages:729-734