Juan Pablo Grisales Campeón
Engineer
Buenos Aires, Argentina ·-· -
I have facility and pleasure to learn. I was trained to investigate every last detail of engineering problems.
Thanks to my training I have the ability to propose alternative solutions to the problems investigated from the
application of the scientific method with the use of different tools acquired during my training process. Resilient
to the different situations that may arise in the course of my work.
Habilities and tools
Programing — Python, Matalab/Octave, R.
Data Analysis and visualization — Matplotlib, Seaborn, Pandas, Power BI, ggplot.
Numerical modelling and simulation — NumPy, sci-kit learn, SciPy, tensorflow.
Technical and scientific writing — LaTex and Microsoft Word.
Teaching — programming, mathematics and physics.
Languages — Spanish and English.
Competencies
Problem solving
Research
Communication
Time self-management
Self-learning
Quick adaptation
Positions
Introduction to Computational Thinking Professor — UdeSA
2024 — Present
Computational networks and communications Assistan Profesor — UdeSA
2024 — Present
Python Professor — AdaIT
2023
Assistant Professor — ITBA
2019 — 2023
PhD Scholar — ITBA/CONICET
2017 — 2023
Young Research — UTP
2016
Education
PhD in Engineering – ITBA
07 2017 — 05 2023
Engineering on Physics – UTP
02 2011 — 12 2016
Publications
2022 – Joint position and clock tracking of wireless nodes under mixed LOS-NLOS conditions. Physical
Communication 54 (2022):- – Joint position and clock tracking of wireless nodes. Computer Networks 197 (2021):- – Indoor Positioning based on RSSI of WiFi signals: how accurate can it be?
2018 – Fusion of magnetic and WiFi fingerprints for indoor positioning.
2017 – Electrostatic plasma simulation by Particle-In-Cell method using ANACONDA package.