Chris Fietkiewicz

Develops methods for high-performance computing, modeling and simulation
Office: 702 Olin Phone Number: (216) 368-8829 Email: chris.fietkiewicz@case.edu

Education

Ph.D., Computer Science, Case Western Reserve University, 2010
B.S., Electrical Engineering, Messiah College, 1991

Awards and Recognitions

2018, Nominated for Carl F. Wittke Award for Excellence in Undergraduate Teaching, Case Western Reserve University

Research Interests

Computational neuroscience, multiscale modeling

Teaching Interests

Introductory Computer Science, Numerical Methods, Artificial Intelligence, Computational Neuroscience, Dynamical Systems in Neuroscience

Professional Leadership and Service

Jan. 1, 2016 - PRESENT, Member Association for Computing Machinery SIG on Computer Science Education
Jan. 1, 2016 - PRESENT, Member Association for Computing Machinery SIG on High Performance Computing Education

Publications

Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A. (2020). The role of coupling connections in a model of the cortico-basal ganglia-thalamocortical neural loop for the generation of beta oscillations. Neural Networks, 123 , 381-392.
Liu, C., Zhao, G., Wang, J., Wu, H., Li, H., Fietkiewicz, C., & Loparo, K. A. (2020). Neural network-based closed-loop deep brain stimulation for modulation of pathological oscillation in Parkinson’s disease. IEEE Access, 8 , 161067--161079.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Noise-Induced Improvement of the Parkinsonian State: A Computational Study. IEEE Transactions on Cybernetics, 49 (10), 3655-3664.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Noise-Induced Improvement of the Parkinsonian State: A Computational Study. IEEE Transactions on Cybernetics, 49 (10), 3655-3664.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks. IEEE Transactions on Cybernetics, 49 (7), 2490-2503.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., & Loparo, K. A. (2019). Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks. IEEE Transactions on Cybernetics, 49 (7), 2490-2503.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & Loparo, K. A. (2019). Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation. IEEE Transactions on Fuzzy Systems, 27 (2), 304-318.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & Loparo, K. A. (2019). Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation. IEEE Transactions on Fuzzy Systems, 27 (2), 304-318.
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A. (2019). Delayed Feedback-Based Suppression of Pathological Oscillations in a Neural Mass Model. IEEE Transactions on Cybernetics.
Fietkiewicz, C. (2019). Student Outcomes in Parallelizing Recursive Matrix Multiply. The Journal of Computational Science Education, 10 (1), 21-23.
Fietkiewicz, C. (2019). Potential Influence of Prior Experience in an Undergraduate-Graduate Level HPC Course. The Journal of Computational Science Education, 10 (1), 90-92.
Liu, C., Zhou, C., Wang, J., Fietkiewicz, C., & Loparo, K. A. (2019). Delayed Feedback-Based Suppression of Pathological Oscillations in a Neural Mass Model. IEEE Transactions on Cybernetics.
Fietkiewicz, C. (2019). Student Outcomes in Parallelizing Recursive Matrix Multiply. The Journal of Computational Science Education, 10 (1), 21-23.
Fietkiewicz, C. (2019). Potential Influence of Prior Experience in an Undergraduate-Graduate Level HPC Course. The Journal of Computational Science Education, 10 (1), 90-92.
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A. (2018). Modeling and Analysis of Beta Oscillations in the Basal Ganglia. IEEE Transactions on Neural Networks, 29 (5), 1864-1875.
Yang, S., Deng, B., Wang, J., Liu, C., Li, H., Lin, Q., Fietkiewicz, C., & Loparo, K. A. (2018). Design of Hidden-property-based Variable Universe Fuzzy Control for Movement Disorders and Its Efficient Reconfigurable Implementation. IEEE Transactions on Fuzzy Systems.
Liu, C., Wang, J., Deng, B., Li, H., Fietkiewicz, C., & Loparo, K. A. (2018). Noise-Induced Improvement of the Parkinsonian State: A Computational Study. IEEE Transactions on Cybernetics.
Yang, S., Wang, J., Deng, B., Liu, C., Li, H., Fietkiewicz, C., & Loparo, K. A. (2018). Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks. IEEE Transactions on Cybernetics.
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A. (2017). Modeling and Analysis of Beta Oscillations in the Basal Ganglia. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, PP (99).
Yang, S., Deng, B., Wang, J., Li, H., Liu, C., Fietkiewicz, C., & Loparo, K. A. (2017). Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties. Scientific Reports, 7 , 40152.
Liu, C., Zhu, Y., Liu, F., Wang, J., Li, H., Deng, B., Fietkiewicz, C., & Loparo, K. A. (2017). Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state. Neural Networks, 88 , 65–73.
Liu, C., Wang, J., Li, H., Fietkiewicz, C., & Loparo, K. A. (2017). Modeling and Analysis of Beta Oscillations in the Basal Ganglia. IEEE Transactions on Neural Networks.
Yang, S., Deng, B., Wang, J., Li, H., Liu, C., Fietkiewicz, C., & Loparo, K. A. (2017). Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties. Scientific Reports, 7
Liu, C., Zhu, Y., Liu, F., Wang, J., Li, H., Deng, B., Fietkiewicz, C., & Loparo, K. A. (2017). Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state. Neural Networks, 88 , 65-73.
Fietkiewicz, C., & Loparo, K. A. (2016). Analysis and Enhancements of a Prolific Macroscopic Model of Epilepsy. Scientifica, 2016 (3628247).
Fietkiewicz, C., Shafer, G., Platt, E., & Wilson, C. (2016). Variability in respiratory rhythm generation: In vitro and in silico models. Communications in Nonlinear Science and Numerical Simulation [10075704], 32 , 158-168.
Liu, C., Wang, J., Deng, B., Wei, X., Yu, H., Li, H., Fietkiewicz, C., & Loparo, K. A. (2016). Closed-Loop Control of Tremor-Predominant Parkinsonian State Based on Parameter Estimation. IEEE Transactions on Neural Systems and Rehabilitation Engineering [15344320], 24 (10), 1109-1121.
Liu, F., Wang, J., Liu, C., Li, H., Deng, B., Fietkiewicz, C., & Loparo, K. A. (2016). A neural mass model of basal ganglia nuclei simulates pathological beta rhythm in Parkinson’s disease. Chaos: An Interdisciplinary Journal of Nonlinear Science, 26 (12), 123113.
Liu, C., Wang, J., Li, H., Lu, M., Deng, B., Yu, H., Wei, X., Fietkiewicz, C., & Loparo, K. A. (2016). Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network. IEEE Transactions on Neural Networks [10459227].
Liu, C., Wang, J., Yu, H., Deng, B., Wei, X., Li, H., Loparo, K. A., & Fietkiewicz, C. A. (2015). Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models. Communications in Nonlinear Science and Numerical Simulation, 28 (1), 10–26.