physics, materials engienery

José Armando Espinosa Martínez

*************@*****.*** +55-11-991**-**** São Paulo, SP, Brazil

LinkedIn: linkedin.com/in/jose-martinez-89ab3959 Lattes: lattes.cnpq.br/3641326881051668 PROFESSIONAL SUMMARY

PhD in Materials Engineering and Nanotechnology with extensive experience in graphene-based materials, computational modeling (DFT), synthesis and characterization of nanomaterials, and advanced laboratory techniques. Proven track record in research and teaching at institutions in Brazil and Cuba. Currently Laboratory Technician at Universidade Presbiteriana Mackenzie, responsible for managing and operating chemistry and engineering laboratories. Strong competencies in artificial intelligence, scientific programming (Python), mathematical modeling, and data analysis.

PROFESSIONAL EXPERIENCE

Laboratory Technician

Universidade Presbiteriana Mackenzie — São Paulo, SP, Brazil 2024 – June 2026

• Management and operation of chemistry laboratories at the School of Engineering

• Maintenance, calibration, and configuration of analytical instruments (XRD, Raman, SEM, FTIR, BET)

• Sample preparation and technical support for researchers and graduate students

• Implementation of quality control routines and good laboratory practices (GLP)

• Support for research projects involving synthesis and characterization of nanomaterials and graphene

• Process automation using Python and AI-driven tools PhD Student in Materials Engineering and Nanotechnology Universidade Presbiteriana Mackenzie — São Paulo, SP, Brazil 2017 – 2021

• Research on oxidation processes of graphite and sucrose for graphene-based materials

• Synthesis and characterization of graphene oxide and derivatives (XRD, Raman, FTIR, SEM, TGA)

• Computational modeling using Density Functional Theory (DFT)

• Supervisor: Prof. Marcos Massi Co-supervisor: Prof. Odila Florêncio

• CAPES scholarship recipient

MSc Student in Production Engineering

Universidade Metodista de Piracicaba (UNIMEP) — Piracicaba, SP, Brazil 2013 – 2015

• Research on clean production: synthesis and characterization of composites for benzene and heavy metal removal

• CAPES scholarship recipient

Researcher — Mathematical Models for Cuban Wind Atlas National Institute of Meteorology of Cuba (INSMET) — Havana, Cuba 2004 – 2012

• Development of short-term mathematical weather forecasting models

• Implementation and configuration of WRF, MM5, and CALMET numerical models

• Modeling of atmospheric thermodynamic processes and tornado forecasting

• Application of wavelet transform for wind time series gap-filling Adjunct Professor of Thermodynamic Physics

Instituto Superior Politécnico José Antonio Echevarría (ISPJAE) — Havana, Cuba 2000 – 2003 Researcher — Medical Laser Applications

Center for Technological Applications and Nuclear Development (CEADEN) — Havana, Cuba 1994 – 1999

• Development of laser therapy equipment with surface diode arrays

• Software design for acupuncture point usage in laser therapy Researcher — Geomagnetic Field Studies

Institute of Geophysics and Astronomy (IGA) — Havana, Cuba 1990 – 1993 Regional geophysical investigations for studying the deep constitution of the Earth's crust EDUCATION

PhD in Materials Engineering and Nanotechnology

Universidade Presbiteriana Mackenzie — São Paulo, SP, Brazil 2017 – 2021 Thesis: Oxidation processes of graphite and sucrose using sulfates as auxiliary oxidants for graphene-based materials MSc in Production Engineering

Universidade Metodista de Piracicaba (UNIMEP) — Piracicaba, SP, Brazil 2013 – 2015 Dissertation: Clean Production — Synthesis and characterization of composites for benzene and heavy metal removal from water

Specialization (Lato Sensu) in Wind Energy

Instituto Superior Politécnico José Antonio Echevarría (ISPJAE) — Havana, Cuba 2008 – 2009 BSc in Physics

University of Havana — Havana, Cuba 1984 – 1990

Sandwich period at Technische Universität Dresden, Germany (Supervisor: Prof. Dietrisch A.) SKILLS AND COMPETENCIES

Artificial Intelligence and Data Science:

• Application of AI and machine learning methods for scientific data analysis

• Neural networks, natural language processing (NLP), predictive modeling

• Laboratory process automation with Python scripts and AI-driven tools Programming and Scientific Computing:

• Python (NumPy, SciPy, Pandas, Matplotlib, Scikit-learn, TensorFlow/Keras)

• Computational modeling with Density Functional Theory (DFT) — Gaussian, VASP

• MatLab, Delphi, Linux/Unix, Microsoft Office

Mathematics and Physics:

• Mathematical modeling and numerical simulation of physical processes

• Statistical physics, thermodynamics, and computational modeling

• Time series analysis and advanced statistical methods Laboratory and Characterization Techniques:

• X-ray Diffraction (XRD), Raman and FTIR Spectroscopy

• Scanning Electron Microscopy (SEM), BET Analysis

• Graphene, graphene oxide, and nanocomposite synthesis

• UV-Vis Spectroscopy, TGA, DSC

Languages:

Spanish (native) Portuguese (fluent) English (fluent) German (functional) French (basic) SELECTED PUBLICATIONS

1. Sanchez, M.; Nobre, A.G.; Martinez, J.A.E.; Campanaro, J.F.; Vargas, V.M.L. (2023). Considerations about highly crystalline cellulose microfiber additive from Eucalyptus grandis for 3D-printing ABS filament. Materials Science in Additive Manufacturing, 2, 1000.

2. Martinez, J.A.E.; Sanchez Junior, M.; Nobre, A.G.; Orrego, R.M.M.; Florêncio, O. (2021). Influence of different oxidation mechanisms on the exfoliation of intercalated graphite bisulfate. Materia-Rio de Janeiro, 26, 1-8. 3. Nobre, A.G.; Martinez, J.A.E.; Terence, M.C.; Florêncio, O. (2020). The action of shear zones in the natural availability of graphite nanoplatelets. Brazilian Journal of Animal and Environmental Research, 3, 3108-3118. 4. Martinez, J.A.E.; Nobre, A.G.; Florêncio, O.; Orrego, R.M.M. (2020). Synthesis of magnetic graphene oxide composite from natural graphite. The Second Pan-American Nanotechnology Conference. 5. Nobre, A.G.; Martinez, J.A.E.; Florêncio, O. (2021). Mineral Nanotechnology in Circular Economy. In: Mineral Nanotechnology in Circular Economy, Springer, pp. 220-226. 6. Sanchez, M.; Spinoza, J.A.; Miranda, L.F. (2020). A New Method to Obtain Cellulose Nanofiber from Wood. In: The Minerals, Metals & Materials Series, Springer, pp. 395-401.

Contact this candidate