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PhD Candidate at  Instituto de Automática, Universidad Nacional de San Juan – CONICET, Argentina

Estefanía Aguirre Z. is a Biomedical Engineer with a Master’s in Automation and Industrial Control from the University Institution ITM in Colombia. Currently pursuing a Ph.D. in Control Systems Engineering at the Instituto de Automática with dual affiliation to UNJS and CONICET in San Juan, Argentina. Her doctoral research focuses on interpretability and parametric hierarchy in biotechnological process modeling.With a strong background in mathematical modeling, programming, and simulation spanning over four years, Estefanía has contributed significantly to the field of automation and control. She has a wealth of experience as a researcher and professor, specializing in mathematical modeling, estimation, and control of bioprocesses.

Publication Profile:🌟👨‍🎓
🎓 Education:
  • Ph.D. in Control Systems Engineering (Ongoing)
    • Thesis: Interpretability and Parametric Hierarchy in Biotechnological Process Modeling
  • MSc. in Industrial Automation and Control
    • Thesis: State Estimation for Nonlinear Systems with Measurement Delay
  • B.S. in Biomedical Engineering
    • Degree Work: Design and Development of the MASTER CRAFT MC500 Sterilization Device
🔬 Work and Research Experience:

Researcher and Doctoral Student at INAUT, focusing on mathematical modeling, estimation, and control of bioprocesses. Professor at EADIC, contributing to the master’s degree in biomedical engineering. Technology Appropriation Trainer, conducting workshops on programming, web design, mobile app development, educational robotics, and home automation. Researcher at ITM, involved in state estimation for nonlinear systems with measurement delay. Production Coordinator at DENTOMAT S.A.S., overseeing the manufacture of dental medical devices. Technical Management Assistant at DENTAL X-RAY S.A.S., ensuring compliance with national and international regulations.

Research Focus 🌱🔍

Estefanía Aguirre-Zapata’s research focus lies at the intersection of Mathematical Modeling and Control in Biotechnological and Industrial Processes. Her work delves into innovative areas such as forecasting flight activity of Lobesia botrana, modeling supersaturation in sugar crystallization, and understanding growth kinetics in biological processes. 🌱 Her contributions extend to designing virtual sensors for glucose monitoring in diabetes, emphasizing interpretability in biotechnological models, and exploring control strategies for sugar crystallization. 📊 Estefanía’s commitment to advancing knowledge is evident in her prolific publications, addressing crucial aspects of process modeling and control in diverse fields. 🚀


Publications Top Notes:🌐🔬
ESTEFANIA AGUIRRE-ZAPATA | Crop protection | Best Researcher Award

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