Christian Peco Regales

Christian Peco Regales is an Assistant Professor in the Department of Engineering Science and Mechanics, conducting interdisciplinary research at the intersection of computational mechanics, materials science, and biomimetics with significant contributions to machine learning applications in engineering.

His research portfolio demonstrates expertise in:

• Deep learning frameworks for biological material modeling
• Data-driven design of advanced composites
• Biomimetic optimization inspired by natural systems
• Microstructure characterization of particle-enriched materials
• Fluid-structure interaction algorithms
• Drone swarm intelligence derived from biological networks

Dr. Regales' recent publications reveal a strong focus on neural network applications for material design, with particular emphasis on translating biological network principles (such as slime mold behavior) into drone swarm collaborative algorithms. His work integrates computational mechanics with machine learning to address challenges in composite material design, biological tissue modeling, and fluid-structure systems.

He currently leads two major National Science Foundation projects:

• CAREER: Transferring biological networks emergent principles to drone swarm collaborative algorithms (2024-2029, Principal Investigator)
• Collaborative Research: Particle Reinforced Ice as a Tunable Acoustic Couplant (2021-2024, Co-Principal Investigator)

His research contributes to United Nations Sustainable Development Goals through innovations in sustainable materials and clean energy technologies, with a publication record showing accelerated output (31 research outputs) and growing impact (h-index 12, 790 citations).