Dr Savins Puertas Martin
BSc (Almeria, Spain), MSc (Almeria, Spain), PhD (Almeria, Spain)
Information School
Post-Doctoral Fellow
Full contact details
Information School
Room C600
The Wave
2 Whitham Road
Sheffield
S10 2AH
- Profile
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I am a postdoctoral researcher doing a 2-year stay at the Information School of the University of Sheffield. I hold a PhD in Computer Science from the University of Almeria, which I completed in 2020. Since then, I worked for one year at the University of Almeria on a Radiotherapy project until I came here.
I have published several papers and attended more than 25 international, national and educational conferences. I have successfully acquired over €187,788 in competitive calls to support my research and several awards and mention (€7,300). Among them, I want to highlight the recent (2022) Research Awards of the Scientific Informatics Spanish Society and the BBVA Foundation.
- Research interests
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My research focuses principally on developing novel software and methodologies for a range of important applications in chemoinformatics and radiotherapy. In that sense, I have developed different software versions of OptiPharm and a multi-objective version, Multi-Pharm and web servers (BRUSELAS), among others.
I am interested in supervising projects in research related to my aforementioned areas of interest and experience. I am particularly interested in supervising work on computer science, specifically in the implementation of new algorithms as well as on chemoinformatics.
- Publications
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Journal articles
- MultiPharm-DT: A Multi-Objective Decision Tool for Ligand-Based Virtual Screening Problems. Informatica, 55-80.
- Optimizing Electrostatic Similarity for Virtual Screening: A New Methodology. Informatica, 1-19.
- Is high performance computing a requirement for novel drug discovery and how will this impact academic efforts?. Expert Opinion on Drug Discovery, 15(9), 981-985.
- BRUSELAS: HPC Generic and Customizable Software Architecture for 3D Ligand-Based Virtual Screening of Large Molecular Databases. Journal of Chemical Information and Modeling, 59(6), 2805-2817.
- OptiPharm: An evolutionary algorithm to compare shape similarity. Scientific Reports, 9(1).
- High-performance computing for the optimization of high-pressure thermal treatments in food industry. The Journal of Supercomputing, 75(3), 1187-1202.
- A two-layer mono-objective algorithm based on guided optimization to reduce the computational cost in virtual screening. Scientific Reports, 12(1).
Chapters
- Virtual Screening Based on Electrostatic Similarity and Flexible Ligands, Computational Science and Its Applications – ICCSA 2022 Workshops (pp. 127-139). Springer International Publishing
Conference proceedings papers
- Increasing the Accuracy of Optipharm’s Virtual Screening Predictions by Implementing Molecular Flexibility (pp 234-245)
- ON SIMULATING AN ARM PROCESSOR FOR TEACHING COMPUTER STRUCTURE. ICERI Proceedings, 11 November 2019 - 13 November 2019.
- Multi-objective evolutionary algorithm for evaluation of shape and electrostatic similarity. AIP Conference Proceedings
- COLLABORATIVE PROJECT-BASED LEARNING: AN EXPERIENCE. EDULEARN19: 11TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES (pp 8631-8635)
- LEARNING QUANTUM COMPUTATION THROUGH SIMPLE EXAMPLES. ICERI2018 Proceedings, 12 November 2018 - 14 November 2018.
- MultiPharm-DT: A Multi-Objective Decision Tool for Ligand-Based Virtual Screening Problems. Informatica, 55-80.
- Professional activities and memberships
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- Member of Overleaf Advisor since 2018
- Member of Supercomputing-Algorithm (University of Almeria) since 2016