Philip E. Paré
Mathematics · Purdue University West Lafayette
Publications
147
Citations
1,064
Est. group size
~4
Recurring co-author estimate
Active years
14
Publishing since 2013
Philip E. Paré works on the mathematics of control systems and network models, with a strong focus on how diseases spread and can be controlled across networks of people or infrastructure (for example, SIR and SIS epidemic models). His work combines tools from control theory, network science, and increasingly machine learning (such as physics-informed neural networks and Bayesian methods) to design algorithms for monitoring, predicting, and safely steering complex systems, including epidemic processes and physical/robotic systems.
Publication output has grown fairly steadily over the last decade, rising from single digits in 2017 to a peak in the low twenties around 2023-2024, with a slight dip in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Port-Transversal Barriers: Graph-Theoretic Safety for Port-Hamiltonian Systems
arXiv (Cornell University) · 2026
- Port-Transversal Barriers: Graph-Theoretic Safety for Port-Hamiltonian Systems
arXiv (Cornell University) · 2026
- A Physics-Informed Neural Networks-Based Model Predictive Control Framework for $SIR$ Epidemics
IEEE Open Journal of Control Systems · 2025
- Analysis, state estimation, and control for the networked competitive multi-virus SIR model
Automatica · 2025
- Safe Reference Tracking and Collision Avoidance for Taxiing Aircraft Using an MPC-CBF Framework
2025
- Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy
arXiv (Cornell University) · 2025
- From the Ground Up: IEEE NextCom’s Inaugural Year of Impact and Growth [Member Activities]
IEEE Control Systems · 2025
- Scalable Distributed Reproduction Numbers of Network Epidemics With Differential Privacy
IEEE Open Journal of Control Systems · 2025
- Efficient Algorithms for Dynamic Curing and Network Design in SIS Epidemic Processes
IEEE Transactions on Network Science and Engineering · 2025
- Deep Reinforcement Learning for Epidemic Control of a Networked SIS Model
2025
- A Physics-Informed Neural Networks-Based Model Predictive Control Framework for $SIR$ Epidemics
arXiv (Cornell University) · 2025
- Spectral Flow Learning Theory: Finite-Sample Guarantees for Vector-Field Identification
arXiv (Cornell University) · 2025
- Online Identification of Time-Varying Systems Using Excitation Sets and Change-Point Detection
IEEE Transactions on Automatic Control · 2025
- Bayesian Safety Guarantees for Port-Hamiltonian Systems with Learned Energy Functions
arXiv (Cornell University) · 2025
- Energy-Aware Bayesian Control Barrier Functions for Physics-Informed Gaussian Process Dynamics
ArXiv.org · 2025
- arXiv (Cornell University)×53
- IFAC-PapersOnLine×8
- IEEE Control Systems Letters×5
- IEEE Transactions on Control of Network Systems×4
- IEEE Transactions on Network Science and Engineering×4
- Alessandro Vespignani
Mathematics · Indiana University
- Joseph H. Tien
Mathematics · The Ohio State University
- Grzegorz A. Rempała
Mathematics · The Ohio State University
- Paulo C. Ventura
Mathematics · Indiana University
- Eben Kenah
Mathematics · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile