Publications

Peer-reviewed Journal Papers

  • G. Hipp, M. Vaillant, N. J. Diederich, K. Roomp, V. P. Satagopam, P. Banda, E. Sandt, K. Mommaerts, S. K. Schmitz, L. Longhino, A. Schweicher, A.-M. Hanff, B. Nicolai, P. Kolber, D. Reiter, L. Pavelka, S. Binck, C. Pauly, L. Geffers, F. Betsou, M. Gantenbein, J. Klucken, T. Gasser, M. T. Hu, R. Balling, and R. Krüger. The Luxembourg Parkinson’s Study: A Comprehensive Approach for Stratification and Early Diagnosis. Frontiers in Aging Neuroscience, 10, 326, 2018, doi, free download
  • S. Herzinger, V. Grouès, W. Gu, V. Satagopam, P. Banda, C. Trefois, and R. Schneider: Fractalis: A Scalable Open-source Service for Platform-independent Interactive Visual Analysis of Biomedical Data. GigaScience, 7(9), Oxford University Press, 2018, doi, free download
  • D. Blount, P. Banda, C. Teuscher, and D. Stefanovic. Feedforward Chemical Neural Network: An In Silico Chemical System That Learns XOR. Journal of Artificial Life, MIT Press, 23(3), 295-317, 2017, doi
  • P. Banda, C. Teuscher. COEL: A Cloud-Based Reaction Network Simulator. Frontiers in Robotics and AI, 3(13), 2016, doi
  • J. Moles, P. Banda, and C. Teuscher. Delay Line as a Chemical Reaction Network. Parallel Processing Letters, 21(1), 2015, doi, arxiv
  • P. Banda, J. Caughman, and J. Pospichal. Configuration Symmetry and Performance Upper Bound of One-Dimensional Cellular Automata for the Leader Election Problem. Journal of Cellular Automata, 10(1-2), 1-21, 2015
  • P. Banda, C. Teuscher, and D. Stefanovic. Training an Asymmetric Signal Perceptron through Reinforcements in an Artificial Chemistry. Journal of the Royal Society, Interface, 11(93), 2014, doi
  • P. Banda, C. Teuscher, and M. R. Lakin. Online Learning in a Chemical Perceptron. Journal of Artificial Life, MIT Press, 19(2), 2013, doi, free download

Peer-reviewed Conference Papers

  • J. Daneault, G. Vergara-Diaz, G. Costante, E. Fabara, G. Ferreira-Carvalho, F. Golabchi, F. Parisi, S. Sapienza, Y. Chae, P. Snyder, P. Aubin, P. Banda, D. Brunner, R. Dorsey, L. Mangravite, W. Marks, E. Neto, U. Rubin, E. Soderberg, D. Daeschler, S. Moore, S. Sieberts, L. Omberg, and P. Bonato. The Levodopa Response Trial and the Parkinson Disease Digital Biomarker Challenge: Monitoring symptoms of Parkinson’s disease in the lab and home using wearable sensors (abstract). The 2018 International Congress of Parkinson’s Disease and Movement Disorders. Movement Disorders : Official Journal of the Movement Disorder Society, 33(S2), 525, 2018, doi
  • P. Banda, and C. Teuscher. An Analog Chemical Circuit with Parallel-Accessible Delay Line for Learning Temporal Tasks. In Sayama, H., et al. eds.: ALIFE 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, MIT Press, 482-489, 2014, doi, free download
  • P. Banda, D. Blount, and C. Teuscher. COEL: A Web-based Chemistry Simulation Framework. In Stepney, S., Andrews, P. eds.: CoSMoS 2014: Proceedings of the 7th Workshop on Complex Systems Modelling and Simulation, Luniver Press, 35-60, 2014, arxiv
  • P. Banda, and C. Teuscher. Learning Two-input Linear and Nonlinear Analog Functions with a Simple Chemical System. In Ibarra, O.H., et al. eds.: Unconventional Computing and Natural Computing Conference, Volume 8553 of Lecture Notes in Computer Science. Springer International Publishing Switzerland, 14-26, 2014, doi, arxiv
  • P. Banda, and C. Teuscher. Complex Dynamics in Random DNA Strand Circuits (extended abstract). The 19th International Conference on DNA Computing and Molecular Programming, 2013
  • P. Banda. Cellular Automata Evolution Of Leader Election. In Kampis, G., Karsai, I., Szathmáry, E., eds.: Advances in Artificial Life. Darwin Meets von Neumann. Volume 5778 of Lecture Notes in Computer Science. Springer Berlin / Heidelberg, 310-317, 2011, doi
  • P. Banda. Symmetry Breaking and Limits of Self-stabilization in Cellular Automata for the Leader Election Problem (in Slovak). Kelemen, J., Kvasnicka, V., eds.: Cognition and Artificial Life ’10, SLU Opava, 37-42, 2010
  • P. Banda. Computational Mechanics, Evolution of Cellular Automata and Leader Election Problem (in Slovak). Kelemen, J., Kvasnicka, V., Rybar, J., eds.: Cognition and Artificial Life ’09, SLU Opava, 2009
  • P. Banda. Upper Bound Performance of Cellular Automata for the Leader Election Problem in Arbitrary Ring. Proceedings in Informatics and Information Technologies, IIT.SRC 2009 – Student Research Conference, 158-165, 2009
  • P. Banda. Cellular Automata Evolution and Leader Election in a Symmetric Ring. Proceedings in Informatics and Information Technologies, IIT.SRC 2008 – Student Research Conference, 303-310, 2008

Posters

  • V. Satagopam, P. Banda, J. Martens, J. Kutzera, K. Roomp, W. Gu, P. May, and R. Schneider. Data and Computing Platform to Facilitate NCER-PD (National Centre of Excellence in Research on Parkinson’s Disease) Project. 3rd International Systems Biomedicine Symposium; Big Data in Health Care – Challenges, Innovations and Implementation, 2015
  • P. Banda. Training an Asymmetric Signal Perceptron in an Artificial Chemistry. PSU Student Research Symposium, 2013
  • P. Banda. Online Learning in a Chemical Perceptron. COBRA ChemBioIT Summer School, Italy, 2012
  • P. Banda. Self-Organizing Maps Meet Random Boolean Networks: Optimal Network Node Placement In Metric Space. Sigma Xi Student Research Conference, 2011

Theses

  • P. Banda. Novel Methods for Learning and Adaptation in Chemical Reaction Networks. Dissertation, Portland State University, 2015, free download
  • P. Banda. Anonymous Leader Election in One- and Two-Dimensional Cellular Automata. Dissertation, Comenius University, 2014, free download
  • P. Banda. Binary Cellular Automata Approach to Anonymous, Self-Stabilizing Leader Election on Rings. Rigorous Thesis, Comenius University, 2010
  • P. Banda. Cellular Automata Evolution, Computational Mechanics and Global Coordination (in Slovak). Master’s Thesis, Comenius University, 2006

Other

  • A. Goudarzi, S. Marzen, P. Banda, G. Feldman, C. Teuscher, and D. Stefanovic. Memory and information processing in recurrent neural networks. 2016, arxiv
  • A. Goudarzi, P. Banda, M. R. Lakin, C. Teuscher, and D. Stefanovic. A Comparative Study of Reservoir Computing for Temporal Signal Processing. 2014, arxiv