CV

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Contact Information

Name Juan E. Sereno Mesa
Professional Title Postdoctoral Researcher
Email jeserenom@gmail.com

Professional Summary

Control theory and mathematical modelling for biomedical systems — model predictive control, adaptive observers, reduced-order modelling and nonlinear mixed-integer optimization, applied to infectious diseases, diabetes and medical digital twins.

Experience

  • 2026 - present

    Dubrovnik, Croatia

    Postdoctoral Researcher
    University of Dubrovnik
    Conduction / InterCoML project — infinite-dimensional optimal control.
  • 2024 - 2026

    Moscow, Idaho, USA

    Postdoctoral Research Fellow
    University of Idaho
    SMID Lab, Department of Mathematics and Statistical Science.
    • Research: adaptive digital twins for personalized medicine.
    • Advisor: Prof. Esteban A. Hernandez-Vargas.
  • 2022 - 2024

    Santa Fe, Argentina

    Teaching Assistant – Mathematics A
    Universidad Nacional del Litoral
    Facultad de Ingeniería Química.
  • 2018 - 2024

    Santa Fe, Argentina

    Doctoral Scholarship Researcher
    Universidad Nacional del Litoral / INTEC-CONICET
    Dynamical Systems and Control Group.
    • Research: MPC controllers for switched systems adapted to epidemiological outbreak scenarios.
    • Advisor: Prof. Alejandro H. González.
  • 2021 - 2021

    Santa Fe, Argentina

    Teaching Assistant – Model Predictive Control
    Universidad Nacional del Litoral
    School of Chemical Engineering.
  • 2014 - 2015

    Medellín, Colombia

    Teaching Assistant – Analog Electronics II
    Universidad Nacional de Colombia
    Facultad de Minas.

Education

  • 2018 - 2024

    Santa Fe, Argentina

    Ph.D.
    Universidad Nacional del Litoral
    Mathematical Engineering
    • Facultad de Ingeniería Química.
    • Thesis: Design of Predictive Controllers for Hybrid Systems: Application to Socio-Biomedical Processes.
    • Advisor: Prof. Alejandro Hernán González.
  • 2017 - 2021

    Medellín, Colombia

    M.Sc.
    Universidad Nacional de Colombia
    Engineering – Industrial Automation
    • Facultad de Minas.
    • Thesis: Automatic Personalization of Glycemic Control Strategies for Patients with Type 1 Diabetes Mellitus.
    • Advisor: Prof. P. S. Rivadeneira.
  • 2012 - 2017

    Medellín, Colombia

    B.E.
    Universidad Nacional de Colombia
    Control Engineering
    • Facultad de Minas.
    • Final project: Glycemic Control in Patients with Type 1 Diabetes Mellitus.
    • Advisor: Prof. P. S. Rivadeneira.

Awards

  • 2018
    Doctoral Internal Scholarship
    CONICET – National Council of Scientific and Technical Research, Argentina
  • 2017
    First Place, Area of Suitable Technologies
    National Competition of Best Final Degree Projects "Otto de Greiff", 21st edition, Bogotá, Colombia
  • 2017
    Best Final Degree Project
    Universidad Nacional de Colombia, Medellín campus, School of Mines

Projects

  • 2022 - 2024
    PICT 2022, Nro. 2021-I-A-00544: Mathematical modeling and control of tuberculosis in Argentina

    Funded by ANPCYT. Role, doctoral student.

  • 2021 - 2024
    PIP 2021, KE3 Nro. 112-2020010-2555-CO: Mathematical modeling and control of the COVID-19 pandemic in Argentina

    Funded by CONICET. Role, doctoral student.

  • 2019 - 2024
    PICT 2019, Nro. 2019-01794: Design of economic MPC strategies for tracking time-varying trajectories

    Funded by ANPCYT. Role, doctoral student.

Service

  • Co-chair, Postdoc and Researchers Association, University of Idaho (2025–2026).
  • Ad hoc referee: IEEE Control Systems Letters, Optimal Control Applications and Methods, Franklin Open, IEEE Conference on Decision and Control, American Control Conference, IEEE Latin American Robotics Symposium.
  • Mentoring: Jocelyn Leung (Texas A&M undergraduate), research internship at INTEC-CONICET, 2024.
  • Memberships: Society for Mathematical Biology (2026–), National Postdoctoral Association (2025–).

Skills

Computational: Matlab, Python, CasADi, YALMIP, VS Code, LaTeX, HTML, CSS

Interests

Research: Model predictive control, adaptive observers, reduced-order modelling, nonlinear mixed-integer optimization, infectious diseases, diabetes, medical digital twins

Languages

Spanish : Native
English : Professional working proficiency (TOEFL iBT 88, CEFR B2)