Philip E. Paré
Scholar

Philip E. Paré

Google Scholar ID: YXPQQkYAAAAJ
Rita Lane and Norma Fries Assistant Professor, Purdue University
Networked Control SystemsVirus Spread over NetworksOptimizationAlgorithms
Citations & Impact
All-time
Citations
1,425
 
H-index
19
 
i10-index
34
 
Publications
20
 
Co-authors
18
list available
Contact
Resume (English only)
Academic Achievements
  • Paper 'Collaborative Safety-Critical Control in Coupled Networked Systems' published in IEEE Open Journal of Control Systems, led by PhD alum Brooks Butler
  • Paper 'Analysis, State Estimation, and Control for the Networked Competitive Multi-Virus SIR Model' published in Automatica, led by former PhD student Ciyuan Zhang
  • Paper 'Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy' published in IEEE Open Journal of Control Systems, led by former postdoc Baike She
  • PhD student Ian Walter successfully defended dissertation titled 'Modeling Demand Dynamics for Optimal Design of Evolving Products'
  • NSF CMMI/EDSE-funded project: 'A Networked Dynamical Systems Approach to Enable Optimal Design for Product Evolution (DfPE)'
  • Recipient of the 2025–2026 Teaching Leadership Award
  • Launched webapp for learning epidemic spreading over networks: engineering.purdue.edu/epione/
Background
  • Rita Lane and Norma Fries Assistant Professor, Elmore Family School of Electrical and Computer Engineering, Purdue University
  • Member and Assistant Director of the Center for Innovation in Control, Optimization, and Networks (ICON)
  • Affiliated with the Integrative Data Science Initiative (IDSI) and the Center for Education and Research in Information Assurance and Security (CERIAS)
  • Member of the PIECE (Project for Inclusion in ECE) Committee
  • Research interests: Mathematical modeling of dynamic networked systems (e.g., epidemiological, biological, economic systems, infrastructure and social networks); stability analysis, control, and identifiability; model reduction and clustering of dynamic systems; biological applications of control theory