Ruben Pellicer-Guridi | Biomedical engineering | Best Researcher Award

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

orcid

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.

Congzhuo Jia | Computer-Aided Diagnosis | Best Researcher Award

Dr. Congzhuo Jia | Computer-Aided Diagnosis | Best Researcher Award

 Cardiologist/Postdoctoral Fellow at Guangdong Provincial People’s Hospital, China

A dedicated cardiologist and postdoctoral fellow, with an impressive academic and clinical background across top global institutions, excelling in cardiovascular research and patient care. 🎓 Trained as an M.D. in China, later advancing to an M.S. in Guangdong, and completing a Ph.D. in the Netherlands with an exchange at Karolinska Institutet, Sweden. 🌍 Fluent in multiple languages, this versatile scholar contributes to cutting-edge cardiovascular knowledge, marked by significant accolades and grants. 📈 Currently based at Guangdong Provincial People’s Hospital, they bring a global perspective to clinical cardiology, grounded in a decade of rigorous academic training and hands-on experience.

Publication Profile

orcid

Education🎓

M.D. from Chongqing Medical University, China (2008–2013). M.S. in Medical Sciences from Shantou University Medical College, Guangdong, China (2014–2017). Ph.D. from University Medical Center Groningen, Netherlands (2017–2022). Exchange Ph.D. at Karolinska Institutet, Sweden (2019–2022).

Experience 👨‍⚕️

Cardiologist/Postdoctoral Fellow, Cardiology Department, Guangdong Provincial People’s Hospital (2022–Present). Medical Intern, First Affiliated Hospital of Shantou University Medical College (2016–2017).

Awards and Honors 🏆

Four-year full-time scholarship, China Scholarship Council. Overseas postdoctoral fellowship fundings. Notable conference presenter at ISCOMS (2017), AMGRO (2019), SSAR (2019, 2021), EAS (2020), CVP/CVR/THK/AC (2020), and ESC Congress (2024).

Research Focus 🔬

Cardiovascular disease mechanisms and clinical interventions. Research on cardiac biomarkers, heart failure, and patient-centered care approaches.  International collaborations on advanced cardiology methods and findings in Europe and Asia.

Publication  Top Notes

 

“Exploring the potential of large language models in identifying metabolic dysfunction‐associated steatotic liver disease: A comparative study of non‐invasive tests and artificial intelligence‐generated responses,” Liver International, 2024-11-11, DOI: 10.1111/liv.16112.
Authors: Wanying Wu, Yuhu Guo, Qi Li, Congzhuo Jia.

2. “Impact of Platelet-to-HDL-Cholesterol Ratio on Long-Term Mortality in Coronary Artery Disease Patients with or Without Type 2 Diabetes: Insights from a Chinese Multicenter Cohort,” Journal of Inflammation Research, 2024-05, DOI: 10.2147/JIR.S458950.
Authors: Wanying Wu, Congzhuo Jia, Xiayan Xu, Yibo He, Yun Xie, Yang Zhou, Hongyu Lu, Jin Liu, Jiyan Chen, Yong Liu.

3. “Fibrinogen to HDL-Cholesterol ratio as a predictor of mortality risk in patients with acute myocardial infarction,” Lipids in Health and Disease, 2024-03-25, DOI: 10.1186/s12944-024-02071-7.
Authors: Congzhuo Jia, Wanying Wu, Huan Lu, Jin Liu, Shiqun Chen, Guoxiao Liang, Yang Zhou, Sijia Yu, Linfang Qiao, Jinming Chen.

4. “Comparison of cardiac biomarkers on risk assessment of contrast‐associated acute kidney injury in patients undergoing cardiac catheterization: A multicenter retrospective study,” Nephrology, 2023-11, DOI: 10.1111/nep.14233.
Authors: Sijia Yu, Qiang Li, Yibo He, Congzhuo Jia, Guoxiao Liang, Hongyu Lu, Wanying Wu, Jin Liu, Yong Liu, Jiyan Chen.

5. “Proportion and number of incident cancer deaths in coronary artery disease,” Cancer Medicine, 2023-10, DOI: 10.1002/cam4.6595.
Authors: Jin Liu, Shiqun Chen, Yang Zhou, Haozhang Huang, Qiang Li, Yan Liang, Shaohong Dong, Xiaoyu Huang, Liling Chen, Xueyan Zheng et al.

 

Conclusion

Given the researcher’s strong foundation in medicine, international research exposure, active engagement in clinical cardiology, and demonstrated commitment through scholarships and fellowships, they are a strong candidate for the Best Researcher Award. While building their publication record and increasing visibility at key conferences could enhance their profile, their strengths in clinical practice, research acumen, and multilingual proficiency present them as an asset to the scientific and medical research community.

Zhiwei Xiong | New Drug Formulations and Technologies | Best Researcher Award

Dr. Zhiwei Xiong | New Drug Formulations and Technologies | Best Researcher Award 

 Assistant Researcher at  China pharmaceutical university  china

Dr. Xiong Zhiwei is a postdoctoral researcher at China Pharmaceutical University, specializing in innovative pharmaceutical formulations and technologies. With a Ph.D. in Traditional Chinese Medicine, he has made significant contributions to multi-component co-delivery systems and microfluidic technology. Dr. Xiong has published over ten academic papers in prestigious journals, including Int J Biol Macromol and Int. J. Pharm. His work has earned him numerous accolades, including the 74th batch of the China Postdoctoral Science Foundation and selection for the Jiangsu Province “Excellence” Postdoctoral Program. He has been granted four patents and has mentored several master’s students, contributing significantly to the field of intelligent pharmaceutical manufacturing.

Publication Profile

Education  🎓

Ph.D. in Traditional Chinese Medicine – China Pharmaceutical University (2019-2022) 🎓 M.S. in Pharmaceutical Preparation – Jiangxi University of Traditional Chinese Medicine (2012-2015) 🎓 B.S. in Traditional Chinese Medicine – Jiangxi College of Traditional Chinese Medicine (2008-2012) Dr. Xiong’s academic journey began with a bachelor’s degree in Traditional Chinese Medicine, which laid the foundation for his expertise in pharmaceutical preparations. He further honed his skills during his master’s and doctoral studies, focusing on novel drug delivery systems. His education has shaped his research into innovative drug technologies and intelligent pharmaceutical manufacturing.

Experience 👨‍🔬

Postdoctoral Researcher – China Pharmaceutical University (Dec 2022 – Present 📚 Full-time Faculty – Jiangxi Science & Technology Normal University (Aug 2015 – Jun 2019)
Dr. Xiong’s professional experience is marked by his current postdoctoral work at China Pharmaceutical University, where he focuses on advanced pharmaceutical technologies such as microfluidic systems and machine vision for intelligent drug manufacturing. Before that, he spent four years as a full-time faculty member at Jiangxi Science & Technology Normal University, where he nurtured future talent in pharmaceutical sciences.

Awards and Honors 🏆 

🏆 Jiangsu Province “Excellence” Postdoctoral Program (2023) 🏅 74th Batch of China Postdoctoral Science Foundation🎖 Awards for Excellence in Scholarship and Research Presentations Dr. Xiong’s exceptional work has earned him several prestigious awards, including the Jiangsu Province “Excellence” Postdoctoral Program recognition in 2023. His contributions to pharmaceutical research have been consistently acknowledged through scholarships and awards for outstanding research presentations, demonstrating his commitment to scientific excellence.

Research Focus  🔬

New Drug Formulations 💊 Multi-component Co-delivery Systems 🌐 Microfluidic Technology 🤖 Machine Vision Online Control for Intelligent Manufacturing
Dr. Xiong’s research revolves around cutting-edge pharmaceutical technologies, focusing on multi-component co-delivery systems and microfluidic technology. His work integrates machine vision for intelligent drug manufacturing, aiming to revolutionize drug delivery and production efficiency. He has led several research projects funded by national and regional grants, contributing to the advancement of intelligent pharmaceutical systems. 

Publication:

1. “Astragalus polysaccharides alleviate type 1 diabetes via modulating gut microbiota in mice” (2023) – 15 citations
2. “Structural elucidation of a novel polysaccharide from Ophiopogonis Radix and its self-assembly mechanism in aqueous solution” (2023) – 18 citations
3. “A review on the applications of Traditional Chinese medicine polysaccharides in drug delivery systems” (2022) – 16 citations (open access)
4. “A new direct compression mechanism of structural transition in Poria cocos extract composite particles” (2022) – 3 citations
5. “Key technologies in dosage form design of Chinese medicinal liquid preparations” (2022) – 1 citation (in Chinese)
6. “Dynamic two-dimensional characterization technique and influencing factors analysis of the hygroscopicity of Chinese medicine extracts” (2022) – 3 citations (in Chinese)
7. “Study on anti-hygroscopic technology based on correlations between particle spatial properties and hygroscopicity of Chinese medicinal extracts” (2021) – (in Chinese)

Conclusion:

In conclusion, Dr. Xiong Zhiwei’s pioneering work in drug delivery systems and pharmaceutical manufacturing technologies makes him a highly deserving nominee for the Best Researcher Award. His combination of academic excellence, patent contributions, and mentorship showcases his dedication to innovation and scientific advancement in the field of pharmaceuticals. Expanding international collaborations and practical applications could be key to further amplifying his already impressive impact.