πŸ”¬ Research


Group of Nonlinear Phenomena and Intelligent Systems

My research work lies at the intersection of nonlinear dynamics, data-driven modeling, and artificial intelligence, combining analytical reasoning with large-scale computation. I address forward and inverse problems, developing models that not only reproduce observed phenomena but also reveal the mechanisms that govern system behavior.

I work across a broad range of applications, including origami-inspired metamaterials, energy harvesting systems, smart and adaptive structures, and epidemiological dynamics. A recurring theme in my research is integrating quantitative modeling and qualitative analysis to uncover nontrivial features such as multistability, bifurcations, robustness, and uncertaintyβ€”elements that directly inform engineering design, control strategies, and decision-making.

Much of my work involves building computational models, running simulations, and extracting meaning from data to support better prediction, optimization, and resilience in engineered and societal systems. I typically develop these projects through international, interdisciplinary collaborations that connect theory, computation, and real-world applications.

✨ Overall, my work is guided by a long-term vision: using mathematics and computation to turn complexity into understanding β€” and understanding into solutions for technological and societal problems.

πŸ”¬ Research Interests

πŸ“’ Mathematical & Computational Modeling

  • πŸŒ€ Nonlinear Dynamics
  • πŸ–₯️ Computational Mechanics
  • 🎲 Uncertainty Quantification
  • πŸ”„ Inverse Problems
  • 🎯 Reduced-Order Modeling
  • βš™οΈ Non-convex optimization
  • πŸ“Š Machine Learning & Data Science

πŸ’‘ Emerging Technologies

  • 〰️ Metamaterials
  • πŸ”‹ Energy Harvesting
  • 🦒 Origami Engineering
  • πŸ€– Artificial Intelligence

🌍 Applications and Challenges

  • πŸ” Structural Health Monitoring
  • 🦠 Epidemiology
  • πŸ₯ Biomedical Engineering

πŸ“Š Collaboration Distance Metrics:

πŸ“œ Academic Lineage

My academic lineage traces back to some of the greatest mathematicians in history, including Euler, Lagrange, Gauss, and Hilbert. Check my academic genealogy:

πŸ“Œ Simple Genealogy Tree
πŸ“Œ Detailed Genealogy Tree
πŸ“Œ Math Genealogy Page