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Dr. Ruben Pellicer-Guridi |Ā  Biomedical engineering | Best Researcher Award

Postdoc at Asociacion de Investigacion MPC, Spain

šŸŒ Passionate physicist advancing affordable MRI and NMR technologies using innovative quantum sensing with NV centers in diamond. šŸ“Based in Spain, drives impactful projects for health, environment, and food sectors through groundbreaking research and entrepreneurial ventures. šŸŒŸ Award-winning expert with a strong focus on real-world applications.

 

Publication Profile

orcid

scopus

EducationšŸŽ“Ā 

Ph.D. in Magnetic Resonance Imaging, University of Queensland, Australia (2014ā€“2019) Internship & Research Assistant, ETH Zurich, Switzerland (2011) Ā Associate Fellow, Higher Education Academy (AFHEA) for teaching excellence. Ā Built expertise in magnetic resonance instrumentation and quantitative imaging across leading European institutions.

ExperiencešŸ’”Ā 

PostDoc Fellow, Quantum Nanophotonics Lab, Spain (2021ā€“present): Revolutionizing quantum-based NMR. Ā Principal Investigator, I3M Valencia (2020ā€“2021): Developed cost-effective, portable MRI prototypes. Ā Visiting Academic, CharitĆ© Berlin (2020): Enhanced hyperthermia devices for cancer treatment. Ph.D. Candidate & Fellow, University of Queensland (2014ā€“2019): Advanced low-field MRI methods with groundbreaking patents.

Awards & HonorsšŸ†

2022 Spin-Off Award, Valencian Community: Portable MRI innovation. BioMedTech Horizons Grant ($1M AUD): For low-field MRI development. Marie Skłodowska-Curie MSCA Fellowship: Quantum sensing for NMR systems. Ā Recognized by prestigious European institutions for pioneering affordable, cutting-edge MRI systems.

Research FocusšŸ”¬

Quantum NMR methods with NV centers for next-gen sensing. Ā Low-field portable MRI for affordable diagnostics. Ā RF antenna development for optimized electron spin control. Ā Bridging high-tech innovation with real-world medical, environmental, and societal needs.

 

PublicationĀ  Top Notes

Quantum-inspired Clustering with Light: Explores clustering methods inspired by quantum computing, applying light-based technologies. Published in Scientific Reports (2024).

Open-source MRI: Highlights the benefits of open-source MRI technology for improving global access, science, and education. Published in NMR in Biomedicine (2024).

Machine Learning for Magnetometry: Discusses automatic optimization of nitrogen vacancy center-based magnetometry using machine learning, presented at the Optica Sensing Congress 2024.

MaRCoS System for Low-field MRI: Focuses on MaRCoS, an open-source electronic control system for low-field MRI. Published in Journal of Magnetic Resonance (2023).

Benchmarking Low-cost MRI Systems: Reviews the performance of low-cost MRI control systems across multiple sites. Published in NMR in Biomedicine (2023).

Prepolarized MRI for Hard Tissues: Studies MRI techniques for imaging hard tissues and solid-state matter. Published in NMR in Biomedicine (2022).

Portable MRI Systems: Explores portable MRI systems for indoor, outdoor, and home use. Published in Scientific Reports (2022).

CNN for Noise Reduction in Low-field MRI: Proposes a convolutional neural network (CNN) for electromagnetic noise reduction in MRI applications. Published in IEEE Transactions on Medical Imaging (2022).

Magneto-stimulation in Rapid Field Dynamics: Examines magneto-stimulation limits in MRI applications involving rapid field changes. Published in Physics in Medicine and Biology (2022).

Fast 0.5 T Prepolarizer Module: Discusses a fast prepolarizer module for preclinical MRI applications. Published in IEEE Transactions on Magnetics (2022).

 

Conclusion

The candidate is an outstanding contender for the Best Researcher Award, with a proven track record of impactful research, leadership, and innovation in medical and quantum technologies. Their work addresses critical gaps in current medical imaging and quantum sensing technologies, with the potential to bring profound benefits to healthcare systems globally. With a well-rounded approach that blends research, commercialization, and education, they exemplify the qualities of an exceptional researcher. Further expansion into diverse medical applications and commercial scalability could elevate their contributions even further.

Ruben Pellicer-Guridi | Biomedical engineering | Best Researcher Award

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