Christos Georgakis

Tufts University

Papers

2

Total Citations

10

H-Index

2

About

Christos Georgakis is a leading figure in the field of process systems engineering, with a focused expertise in the modeling and optimization of complex pharmaceutical reactions. His most significant contribution is the development of the Dynamic Response Surface Methodology (DRSM), a groundbreaking data-driven approach that enables efficient modeling of time-varying chemical processes. This method is particularly impactful in pharmaceutical development, where it allows researchers to capture reaction dynamics with far fewer experiments than traditional kinetic models. Georgakis’s work addresses a critical bottleneck in the industry: the need for rapid, accurate models to accelerate drug development. His 2024 paper on DRSM has already garnered 6 citations, signaling its growing influence. He has also advanced practical estimation techniques, as demonstrated in his 2020 work on novel time-sampling strategies for parameter estimation in DRSM models, which directly supports the use of automated, high-throughput laboratory reactor systems. By providing a rigorous yet practical framework for modeling complex reactions, Georgakis is helping to transform how the pharmaceutical industry approaches process development and optimization.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic data-driven models for complex pharmaceutical reactions — the dynamic response surface methodology
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tufts University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago