Publications

My Google Scholar likely contains more up-to-date papers including those in open-access repositories of e-prints.

Recent and working papers

• Distributed extremum-seeking in Multi-agent Switched systems
  M. Garcia Honores and C. Enyioha
• Hybrid State Estimation of Uncertain Nonlinear Dynamics Using Neural Processes
  D. Hunter and C. Enyioha

Accepted and published papers

• Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
  P. Nwaorgu, S. Singireddy, A. Beckus, A. McKinney, C. Enyioha, S. Kumar Jha, G. K. Atia, and A. Velasquez
  Transactions on Machine Learning Research (TMLR) (2026)
• Nonlinear Cooperative Sensing Under Constrained Communication
  Ogala, and C. Enyioha
  IEEE Open Access Journal, (2026)
• Quantized Push-Sum Average Agreement Algorithms with Error Correction
  P. Nwaorgu, S. Mughal and C. Enyioha
  IEEE European Control Conference 2026
• Recovering Compressed Tensors Using Deep Factorization Models
  P. Nwaorgu, S. Ibrahim and C. Enyioha
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2026
• Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
  D. Hunter and C. Enyioha
  IEEE International Conference on Robotics, Control and Automation (2026)
• Score-Guided Synthetic Experience Replay for Stable off-Policy Reinforcement Learning
  P. Nwaorgu, O. Osigbemeh and C. Enyioha
  IEEE Southeastcon Conference (2026)
• Neural Process-Based Reactive Controller for Autonomous Racing,
  D. Hunter and C. Enyioha
  IEEE Southeastcon Conference (2026)
• Multiple Receiver Over-the-Air Computation for Wireless Networked Control Systems
  S. Hussein, C. Enyioha and C. Fischione
  IEEE Conference on Decision and Control (CDC) (2025)
• Bidirectional End-to-End Framework for Transfer from Abstract Models in Non-Markovian Reinforcement Learning.
  M. Alinejad, P. Nwaorgu, C. Enyioha, Y. Wang, A. Velasquez and G. Atia
  International Conference on Neuro-symbolic Systems (NeuS), 2025
• Distributed Policy Evaluation with Local Updates over Time-Varying Communication Networks
  M. Crespo and C. Enyioha
  IEEE Conference on Information Sciences and Systems (CISS), 2025

• Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
  S. Singireddy, P. Nwaorgu, A. Beckus, A. McKinney, C. Enyioha, S.K. Jha, G.K. Atia and A. Velasquez
  arXiv preprint arXiv:2310.19137, 2024
• Distributed Quantized Algorithms in Adversarial Networks
  I. Emiola and C. Enyioha
  Annual Allerton Conference on Communication, Control and Computing, 2024.
• Average Consensus with Error Correction
  D. Benalcazar, S. Magnusson and C. Enyioha
  IEEE American Control Conference (ACC), 2024
• Multi-Agent Energy Management Strategy for Multi-Microgrids Using Reinforcement Learning
  M.S. Hossain and C. Enyioha
  IEEE Texas Power and Energy Conference (TPEC), 2023.
• Stability of a Distributed Consensus-based Kalman Filter under Limited Communication and Changing Communication Topology
  D. Benalcazar and C. Enyioha
  IEEE American Control Conference (ACC), 2023
• Average Consensus with Error Correction
  D. Benalcazar, S. Magnusson and C. Enyioha
  IEEE Control Systems Letters, 2023
• Quantized and Distributed Subgradient Optimization Method with Malicious Attack
  I. Emiola and C. Enyioha
  IEEE Conference on Decision and Control, 2022
• Quantized and Distributed Subgradient Optimization Method with Malicious Attack
  I. Emiola and C. Enyioha
  IEEE Control Systems Letters (2022)
• A linear dynamical perspective on epidemiology: interplay between early COVID-19 outbreak and human mobility
  S. Mustavee, S. Agarwal, C. Enyioha and S. Das
  Nonlinear Dynamics 109, 1233–1252 (2022)
• Distributed Consensus-based Kalman Filter under Limited Communication
  D. Benalcazar and C. Enyioha
  IEEE Allerton Conference on Communication, Control and Computing
• Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes
  I. Emiola and C. Enyioha
  IEEE Allerton Conference on Communication, Control and Computing
• Stabilization of Spreading Processes using Deep Reinforcement Learning
  D. Benalcazar and C. Enyioha
  IEEE Conference on Control Technology and Applications (CCTA) 2021
• On Distributed Optimization in the Presence of Malicious Agents
  I. Emiola, L. Njilla and C. Enyioha
  IEEE Conference on Information Sciences and Systems (CISS 2021)
• Traffic Shaping for Control of Spreading Processes
  C. Enyioha
  IEEE Conference on Control Technology and Applications (CCTA), 2021
• Linear Active Disturbance Rejection Control Design for Single-Phase UPS Inverters
  R. Rezaii, R. Khalili, I. Batarseh and C. Enyioha
  47th Annual Conference of the IEEE Industrial Electronics Society
• Distributed Asynchronous Random Projection Algorithm (DARPA) with Arbitrary Uniformly Bounded Delay
  E. Atallah, N. Rahnavard and C. Enyioha
  IEEE Allerton Conference on Communication, Control, and Computing, 2019
• Communication Complexity of Distributed Resource Allocation Optimization
  S. Magnusson, C. Enyioha, N. Li, C. Fischione and V. Tarokh
  IEEE Journal of Selected Topics in Signal Processing, 2018
• Convergence of Limited Communication Gradient Methods
  S. Magnusson, C. Enyioha, N. Li, C. Fischione and V. Tarokh
  IEEE Transactions on Automatic Control, 2017
• On Variability of Renewable Energy and Online Power Allocation
  C. Enyioha, S. Magnusson, K. Heal, N. Li, C. Fischione and V. Tarokh
  IEEE Transactions on Power Systems, 2017
• Optimal Resource Allocation for Network Protection: A Geometric Programming Approach
  V. Preciado, M. Zargham, C. Enyioha, A. Jadbabaie and G. Pappas.
  IEEE Transactions on Control of Network Systems, April 2014
• Bio-Inspred framework for allocation of protection resources in Cyber-Physical networks
  V. Preciado, M. Zargham, C. Enyioha, C. Nowzari, S. Han, M. Ogura, A. Jadbabaie and G. J. Pappas.
  In Principles of Cyber-Physical Systems: An Interdisciplinary Approach 1st ed. by Sandip Roy and Saja Das.
  Cambridge University Press, In Press, 2015.
• A Convex Framework for Epidemic Control in Networks
  C. Enyioha
  University of Pennsylvania, 2014.
• Communication Complexity of Distributed Resource Allocation Optimization
  S. Magnusson, C. Enyioha, N. Li, C. Fischione and V. Tarokh
  IEEE Journal of Selected Topics in Signal Processing
• Convergence of Limited Communication Gradient Methods
  S. Magnusson, C. Enyioha, N. Li, C. Fischione and V. Tarokh
  IEEE Transactions on Automatic Control, 2017
• On Variability of Renewable Energy and Online Power Allocation
  C. Enyioha, S. Magnusson, K. Heal, N. Li, C. Fischione and V. Tarokh
  IEEE Transactions on Power Systems, 2017
• Optimal Resource Allocation for Network Protection: A Geometric Programming Approach
  V. Preciado, M. Zargham, C. Enyioha, A. Jadbabaie and G. Pappas.
  IEEE Transactions on Control of Network Systems, April 2014
• Dynamic Resource Allocation to Control Epidemic Outbreaks: A Model Predictive Control Approach
  J. Kohler, C. Enyioha, and F. Allgower.
  IEEE American Control Conference (ACC), 2018
• Practical Coding Schemes for Bandwidth Limited One-Way Communication Resource Allocation
  S. Magnusson, C. Enyioha, N. Li, C. Fischione, and V. Tarokh.
  IEEE Conference on Decision and Control (CDC) , Las Vegas, NV, 2016
• Convergence of Limited Communication Gradient Methods
  S. Magnusson, K. Heal, C. Enyioha, N. Li, C. Fischione, and V. Tarokh.
  IEEE American Control Conference (ACC) , Boston, MA, 2016
• Robustness Analysis for an Online Decentralized Descent Power Allocation Algorithm
  C. Enyioha, S. Magnusson, K. Heal, N. Li, C. Fischione, and V. Tarokh
  IEEE Workshop on Information Theory and Applications (ITA)  2016
• Distributed Resource Allocation with limited bandwidth communication for power networks
  S Magnusson, C. Enyioha, K. Heal, N. Li, C. Fischione, and V. Tarokh.
  IEEE Conference on Information Sciences and Systems (CISS) 2016
• Distributed Resource Allocation for Control of Spreading Processes
  C. Enyioha, A. Jadbabie, V. Preciado and G.J. Pappas.
  IEEE European Control Conference, Linz, Austria 2015.
• On the Controllability of Locally Bounded Infinite Networks
  C. Enyioha A. Rahimian, A. Jadbabie, and G.J. Pappas.
  IEEE Conference on Decision and Control Los Angeles, CA 2014.
• Optimal Vaccine Allocation to Control Epidemic Outbreaks in Arbitrary Networks
  V. Preciado, M. Zargham, C. Enyioha, A. Jadbabaie and G.J. Pappas.
  IEEE Conference on Decision and Control, Florence, Italy, December 2013.
• Bio-inspired Strategy for Control of Viral Spreading in Networks
  C. Enyioha, V. Preciado, and G.J. Pappas.
  High Confidence Networked Systems (HiCONS), Philadelphia, PA, April 2013.
• HMM-based characterization of channel behavior for networked control systems
  J. Chang, K. Venkatasubramanian, C. Enyioha, S. Sundaram, G. Pappas and I. Lee.
  High Confidence Networked Systems (HiCONS), Beijing, China, April 2012.
• Reputation-based networked control with data-corrupting channels
  S. Sundaram, J. Chang, K. Venkatasubramanian, C. Enyioha, I. Lee, and G. J. Pappas
  ACM International conference on Hybrid Systems: Computation and Control ACM New York, NY, USA
• On the graph of trees
  C. Enyioha, D.C. Tarraf, L. Li, and J.C. Doyle
  IEEE Multi-conference on Systems and Control Saint Petersburg, Russia