activity
20132026
most citedOptimal Vaccine Allocation to Control Epidemic Outbreaks in Arbitrary Networks

34 citations · 35 across the 9 of their papers we have counts for

collaborators

11 papers

cs.RO2026

Neural Process-Based Reactive Controller for Autonomous Racing

Devin Hunter, Chinwendu Enyioha

Attention-based neural architectures have become central to state-of-the-art methods in real-time nonlinear control. As these data-driven models continue to be integrated into incr…

cs.RO2025

Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems

Devin Hunter, Chinwendu Enyioha

Various neural network architectures are used in many of the state-of-the-art approaches for real-time nonlinear state estimation. With the ever-increasing incorporation of these d…

eess.SY2025

Hybrid State Estimation of Uncertain Nonlinear Dynamics Using Neural Processes

Devin Hunter, Chinwendu Enyioha

Various neural network architectures are used in many of the state-of-the-art approaches for real-time nonlinear state estimation in dynamical systems. With the ever-increasing inc…

eess.SY2025

Multiple Receiver Over-the-Air Computation for Wireless Networked Control Systems

Seif Hussein, Chinwendu Enyioha, Carlo Fischione

We propose a multi-sender, multi-receiver over-the-air computation (OAC) framework for wireless networked control systems (WNCS) with structural constraints. Our approach enables a…

math.OC2022

Quantized and Distributed Subgradient Optimization Method with Malicious Attack

Iyanuoluwa Emiola, Chinwendu Enyioha

This paper considers a distributed optimization problem in a multi-agent system where a fraction of the agents act in an adversarial manner. Specifically, the malicious agents stee…

math.OC2021★ 1 cited

Straggler-Robust Distributed Optimization in Parameter-Server Networks

Elie Atallah, Nazanin Rahnavard, Chinwendu Enyioha

Optimization in distributed networks plays a central role in almost all distributed machine learning problems. In principle, the use of distributed task allocation has reduced the…