Ruben Pellicer-Guridi | Biomedical engineering | Best Researcher Award

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

Postdoc at Asociacion de Investigacion MPC, Spain

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

 

Publication Profile

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scopus

Education🎓 

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

Experience💡 

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

Awards & Honors🏆

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.  Recognized by prestigious European institutions for pioneering affordable, cutting-edge MRI systems.

Research Focus🔬

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

 

Publication  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.

Stephanie Willerth | Bioprinting | Best Researcher Award

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Prof. Dr. Stephanie Willerth | Bioprinting | Best Researcher Award

Professor at University of Victoria, Canada

The Willerth lab, led by an accomplished researcher in neural tissue engineering, focuses on innovations using pluripotent stem cells, controlled drug delivery, biomaterial scaffolds, and bioprinting for neural tissue development. With experience across top institutions, this scientist blends engineering with neuroscience for advanced tissue engineering applications, creating a dynamic training environment for future biomedical engineers.

Publication Profile

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Education 🎓

Ph.D. in Biomedical Engineering, Washington University in St. Louis, 2008 (Dissertation: Effects of growth factor delivery on stem cell differentiation in fibrin scaffolds)M.S. in Biomedical Engineering, Washington University, 2008S.B. in Chemical Engineering, MIT, 2003S.B. in Biology, MIT, 2003NIH Postdoctoral Fellowship, UC Berkeley (focused on DNA sequencing technologies for HIV diversity and stem cell differentiation)

Experience 👩‍🔬

Adjunct Professor, Biomedical Engineering, Washington University, 2023Affiliate Professor, Biochemistry, University of British Columbia, 2016-2019Affiliate Professor, Wisconsin Institute for Discovery, University of Wisconsin-Madison, 2016-2018NIH F32 Post-Doctoral Fellowship, UC Berkeley, 2008-2010 (specialized in DNA sequencing and stem cell studies)

Awards and Honors 🏆

NIH F32 Fellowship, supporting research at the intersection of bioengineering and stem cell technologiesRecognized for groundbreaking work in bioprinting and neural tissue engineeringRecipient of various institutional and industry accolades for advancements in biomaterials and controlled drug deliveryHonored by the NIH and top research conferences for contributions to neural tissue engineering and stem cell differentiation

Research Focus 🧠

The Willerth lab specializes in engineering neural tissues via stem cell technologies, bioprinting, and drug delivery systems. Research spans pluripotent stem cell differentiation, biomaterial scaffolds, and cellular reprogramming to improve neural regeneration. This work combines principles of engineering and neuroscience, offering significant implications for treating neurodegenerative diseases and spinal cord injuries.

Publication  Top Notes

“The differentiation of embryonic stem cells seeded on electrospun nanofibers into neural lineages” – Biomaterials, 2009. Cited 524 times. This study investigates stem cell differentiation on nanofiber scaffolds, advancing neural tissue engineering techniques.

“Approaches to neural tissue engineering using scaffolds for drug delivery” – Advanced Drug Delivery Reviews, 2007. Cited 476 times. This review outlines scaffold-based drug delivery methods, influencing therapeutic strategies for neural regeneration.

“Emerging biofabrication strategies for engineering complex tissue constructs” – Advanced Materials, 2017. Cited 401 times. This paper discusses biofabrication innovations for creating intricate tissue models, contributing to advanced biomaterials research.

“Conductive core–sheath nanofibers and their potential application in neural tissue engineering” – Advanced Functional Materials, 2009. Cited 363 times. This research on conductive nanofibers highlights their role in enhancing neural tissue repair.

“Optimization of fibrin scaffolds for differentiation of murine embryonic stem cells into neural lineage cells” – Biomaterials, 2006. Cited 344 times. This study optimizes fibrin scaffolds for effective stem cell differentiation, aiding neural tissue formation.

“Metal additive manufacturing: Technology, metallurgy and modelling” – Journal of Manufacturing Processes, 2020. Cited 285 times. This paper examines metal additive manufacturing and its potential in bioengineering applications.

“Combining stem cells and biomaterial scaffolds for constructing tissues and cell delivery” – Harvard Stem Cell Institute, 2008. Cited 265 times. This foundational work explores the integration of stem cells with biomaterials for tissue engineering.

“Cell therapy for spinal cord regeneration” – Advanced Drug Delivery Reviews, 2008. Cited 190 times. This article discusses cell therapy approaches for spinal cord repair, influencing regenerative medicine.

“The effects of soluble growth factors on embryonic stem cell differentiation inside of fibrin scaffolds” – Stem Cells, 2007. Cited 166 times. This paper focuses on controlled growth factor delivery to promote stem cell differentiation.

“Natural Biomaterials and Their Use as Bioinks for Printing Tissues” – Bioengineering, 2021. Cited 152 times. Highlights the use of natural biomaterials as bioinks in 3D bioprinting for tissue engineering applications.

“3D printing of neural tissues derived from human induced pluripotent stem cells using a fibrin-based bioink” – ACS Biomaterials Science & Engineering, 2018. Cited 151 times. Describes bioprinting neural tissues with fibrin-based bioinks, pushing the boundaries of regenerative bioprinting.

“Extrusion and Microfluidic-Based Bioprinting to Fabricate Biomimetic Tissues and Organs” – Advanced Materials Technologies, 2020. Cited 143 times. This paper presents novel bioprinting methods for replicating complex tissue structures.

Conclusion

Given their significant contributions and research leadership in neural tissue engineering and stem cell bioprinting, this candidate is an excellent nominee for the Best Researcher Award. Their innovative methodologies, backed by strong academic and institutional affiliations, demonstrate a profound dedication to advancing regenerative medicine. With a minor focus on clinical translation and interdisciplinary collaborations, this researcher has the potential to influence the field profoundly, making them a highly deserving candidate for this honor.