Francisco Penedo Álvarez
1 Contact Information
- Email: contact@franpenedo.com
- Website: https://franpenedo.com
2 Education
2014-2020 | PhD, BU Robotics Lab, Division of Systems Engineering, College of Engineering, Boston University, Advisor: Prof PhD Calin Belta, Systems Engineering. Thesis: Formal Methods for Partial Differential Equations |
2009-2014 | Bachelor, Polytechnic School, Autonomous University of Madrid, Computer Science |
2009-2014 | Bachelor, College of Science, Autonomous University of Madrid, Mathematics |
3 Fellowships and Awards
BU Dean's Fellow | 2014-2015, from the Division of Systems Engineering, College of Engineering, Boston University. |
Best Poster | 2011, in the XXXII Control Engineering Days in Sevilla. Awarded best poster of the Intelligent Control Thematic Group from the Control Engineering Spanish Committee (CEA). |
Introduction to Research | 2010-2014, from the Spanish National Research Council (CSIC). |
Excellence Schollarship | 2010-2013, from the Community of Madrid. Awarded to the best undergraduate students (approximately those on the 1%) in any university of the Community of Madrid. This award is exclusively based on academic performance during the previous academic year. |
Graduated with Honours in High School | 2009, from the IES nº1 of O Carballiño. |
4 Publications
- Penedo, F., H. Park, and C. Belta. “Control Synthesis for Partial Differential Equations from Spatio-Temporal Specifications.” In 2018 IEEE Conference on Decision and Control (CDC), 4890–95, 2018. https://doi.org/10.1109/CDC.2018.8619313.
- Bombara, Giuseppe, Cristian-Ioan Vasile, Francisco Penedo, Hirotoshi Yasuoka, and Calin Belta. “A Decision Tree Approach to Data Classification Using Signal Temporal Logic.” In Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, 1–10. HSCC ’16. New York, NY, USA: ACM, 2016. https://doi.org/10.1145/2883817.2883843.
- Penedo, Francisco, Cristian-Ioan Vasile, and Calin Belta. “Language-Guided Sampling-Based Planning Using Temporal Relaxation.” In International Workshop on the Algorithmic Foundations of Robotics, 2016.
- Penedo, Francisco, Rodolfo E. Haber, Agustín Gajate, and Raúl M. del Toro. “Hybrid Incremental Modeling Based on Least Squares and Fuzzy K-NN for Monitoring Tool Wear in Turning Processes.” IEEE Transactions on Industrial Informatics 8, no. 4 (November 2012): 811–18. https://doi.org/10.1109/TII.2012.2205699.
5 Talks
2 June 2011 | "Hybrid incremental modeling based on least squares and fuzzy K-NN. Design and evaluation" at VII CEA Symposium of Intelligent Control in Logroño, Spain. |
6 Research Experience
2015-2020 | Research Assistant, BU Robotics Lab, Division of Systems Engineering, College of Engineering, Boston University. |
2013-2014 | Research Assistant, C4LIFE group, Control Engineering and Robotics Center (CAR), Spanish National Research Council (CSIC). |
2011-2013 | Introduction to Research Fellow, C4LIFE group, Control Engineering and Robotics Center (CAR), Spanish National Research Council (CSIC). |
7 Teaching
2016 | Teaching Assistant, Boston University, Introduction to Computer Aided Design (CAD) & Machine Components (ME359) |
2015 | Teaching Assistant, Boston University, Introduction to Linear Algebra for Engineers (EK102 B1) |
8 Skills
8.1 Languages
English | Fluent in spoken and written English. |
Spanish | Native language. |
Galician | Native language. |
Japanese | Basic knowledge. |
8.2 Computer Skills
Programming languages (proficient) | Python, Java, C |
Programming languages (some skill) | Haskell, Lisp, JavaScript, Bash, VHDL, HTML, CSS |
Databases | PostgreSQL, SQLite |
Frameworks | numpy, scipy, matplotlib, scikit-learn, pandas |