Mechanical Engineering Department
Campus Río Ebro – Edificio Betancourt, 50018, Zaragoza (Spain)
email: mikel.martinez@unizar.es | GitHub
Reasearch
My research is centered on advancing deep learning methods to enhance the efficiency of computational mechanics simulations in this new science pardigm.
- Deep Learning, Graph Neural Networks
- Solid Mechanics, Collision and Plasticity
- Optimization
Congress Participations
- WCCM 2024 Vancouver, Canada
- CNM 2024 Aveiro, Portugal
Education
- Ph.D. in Mechanical Engineering (Sept 2023 – On going)
- M.Sc in Computer Science with Specialization in AI (2019–2022) (University Freiburg, Germany)
- Thesis: “Self-Supervised Learning for raw accelerometer data extracted from wearable devices”
- Advisors: Dr. Elias Abou Zeid and Dr. Haneen Njoum
- Supervisor: Prof. Thomas Brox
- Project: “Self-Supervised Control with Video and Language”
- Supervisors: Prof. W. Burgard and PhD Oier Mees
- Thesis: “Self-Supervised Learning for raw accelerometer data extracted from wearable devices”
- B.Sc in Industrial Technology Engineering (2014–2018) (Universidad de Zaragoza, Spain)
- Bachelor Thesis: Feature Binarization with Deep Neural Networks”
- Supervisors: Prof. Javier Civera and Ph.D. Jose Ledesma Facil
- Bachelor Thesis: Feature Binarization with Deep Neural Networks”
Previous working experience
- Data Scientist at DHA, R&D Sanofi (04/2022 – 06/2023)
- Design of deep learning models or sleep detection from multimodal data extracted from wearable devices, and digital biomarkers.
- GitHub group lead, driving the team through best practices for collaborative coding and continuous integration (CI).
- Software engineer developing the DHA libraries for time-series data (internal use)
- Internship at Digital Health Analytics (DHA), R&D Sanofi (07/2021-10/2021)
- Evaluation of traditional ML approaches and deep learning for sleep classification.
- Computational cluster: Magellan Sanofi AWS
- Student research assistant in Learning Robotics AIS, University Freiburg (10/2020-03/2021)
- Evaluation of models in computer vision and NLP tasks
- Student research assistant in ML Lab, University Freiburg (03/2020 – 09/2020)
- Develop as software engineer AutoPytorch, an autoML tool for tabular data classification that includes automatic hyperparameters optimization and model selection.