Dr. Simone Ludwig is a Professor and Interim Chair of Computer Science at North Dakota State University (NDSU). She joined the Department of Computer Science in Fall 2010. She worked at the University of Saskatchewan (Canada), Concordia University (Canada), Cardiff University (UK) and Brunel University (UK) prior to joining NDSU. She received her PhD degree and MSc degree with distinction from Brunel University (UK), in 2004 and 2000, respectively. Before starting her academic career she worked several years in the software industry.

Dr. Ludwig's research interests lie in the area of computational intelligence including swarm intelligence, evolutionary computation, neural networks, and fuzzy reasoning. In particular, computational intelligence methods and algorithms are applied to optimization problems in areas such as data mining (including big data), image processing, privacy and security, and speech recognition. In addition, research in the area of machine learning is conducted.

J. Al-Sawwa and S. A. Ludwig, Performance Evaluation of a Cost-Sensitive Differential Evolution Classifier using Spark - Imbalanced Binary Classification, Journal of Computational Science, vol. 40, accepted December 2019.

J. Al-Sawwa and S. A. Ludwig, Parallel Particle Swarm Optimization Classification Algorithm Variant implemented with Apache Spark, Journal of Concurrency and Computation: Practice and Experience, Wiley, vol. 32, no. 2, 2020.

M. F. Kabir and S. A. Ludwig, Enhancing the Performance of Classification Using Super Learning, Journal of Data-Enabled Discovery and Applications, Springer, vol. 3, no. 5, 2019.

A. Shewalkar, D. Nyavanandi, S. A. Ludwig, Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU, Journal of Artificial Intelligence and Soft Computing Research, vol. 9, no. 4, 2019. 

S. A. Ludwig, Applying a Neural Network Ensemble to Intrusion Detection, Journal of Artificial Intelligence and Soft Computing Research, vol. 9, no. 3, 2019.