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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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.

Dr. Madeha Alkelan | Medicine | Best Researcher Award

Dr. University of Cape Town, South Africa

Dr. Dr. Madeha Alkelan holds a Ph.D. in Medicine from the University of Cape Town (2023), specializing in Dermatology with a focus on hair and skin diseases. Their dissertation explored the molecular and biochemical characterization of hair follicle stem cells in frontal fibrosing alopecia and lichen planopilaris. They also earned an M.Sc. in Medical Biosciences from the University of Western Cape (2015) and a B.Sc. in Medical Sciences from Almergeb University, Libya (2008). With teaching experience at Al Margeb University and extensive training in tissue culture, flow cytometry, and advanced biochemical techniques, Dr. Dr. Madeha Alkelan is a seasoned researcher and educator in health sciences.

Professional Profiles:

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📚 Education

🎓 Ph.D. in Medicine, Dermatology | University of Cape Town (2023)I completed my Ph.D. at the University of Cape Town, specializing in Health Sciences and Dermatology. My research focused on the Molecular and Biochemical Characterization of Hair Follicle Stem Cells in Frontal Fibrosing Alopecia and Lichen Planopilaris, contributing to a deeper understanding of hair and skin diseases.🎓 M.Sc. in Medical Biosciences | University of Western Cape (2015)I earned my Master’s degree in Medical Biosciences from the University of Western Cape. My dissertation explored the Antibacterial Activity of South African Plant Extracts against Streptococcus mutans, highlighting the potential of natural remedies in combating bacterial infections.🎓 B.Sc. in Medical Sciences | Almergeb University, Libya (2008)My undergraduate studies in Medical Sciences at Almergeb University, Libya, laid the foundation for my career in health sciences and medical research.

👩‍🏫 Teaching Experience

As a Lecturer at Al Margeb University, I taught Histology and Anatomy, shaping the next generation of medical professionals through comprehensive and engaging coursework.

🌟 English Language Courses

English Language Centre, Libya (2010): Completed a Seven-Month English Language Course to enhance communication skills.EC School, Cape Town (2013): Completed a One-Year English Language Course to further advance my proficiency.

💻 Office Computer Course

Office Computer Course: Acquired essential computer skills for academic and research tasks.

🧬 Advanced Laboratory Techniques

Tissue Culture Training | Tygerberg Hospital (2015): Gained expertise in Tissue Culture techniques.Flow Cytometry Training | University of Western Cape (2015): Developed skills in Flow Cytometry for advanced cellular analysis.Immunohistochemistry and Immunofluorescence Training | Hair and Skin Research Lab (2019): Specialized in Immunohistochemistry and Immunofluorescence techniques for dermatological research.Tissue Culture Training (2D and 3D) | Hair and Skin Research Lab (2021): Advanced training in 2D and 3D Tissue Culture methods for skin research.

🔬 Analytical and Computational Techniques

MALDI TOF, FTIR, SEM, and LC-MS/MS Training (2018): Developed proficiency in MALDI TOF, FTIR, SEM, and LC-MS/MS for comprehensive biochemical analysis.Skyline, SclisLab, Maxquant, Perseus, R Software Training (2029-2023): Engaged in advanced training for Skyline, SclisLab, Maxquant, Perseus, and R Software for data analysis and research.

✍️Publications Top Note :

Antimicrobial and Antibiofilm Activity of Certain South African Plants Against the Oral Pathogen – Streptococcus mutans

Authors: Madeha A. Kelani, Danovon C. Hiss, Mervin Meyer, Abdulrahman M. Elbagory, Ahmed A. Hussein
Journal: Journal of Ethnopharmacology
Status: Published

📚 The Role of Stem Cells in the Pathogenesis of Scarring Alopecia: Systematic Review Protocol

Authors: Madeha Alkelani, Henry Adeola, Nonhlanhla P. Khumalo, Kutlwano Chabaesele, Thandeka Sikhakhane
Registration Number: PROSPERO 2020 CRD42020146382
Status: Published

📘 Systematic Review of the Genomics and Proteomic Signatures of Frontal Fibrosing Alopecia

Authors: Kutlwano Antonette Chabaesele, Henry Adeola, Nonhlanhla Khumalo, Madeha Alkelani, Thandeka Sikhakhane
Registration Number: PROSPERO 2020 CRD42020208759
Status: Published

Authors: Thandeka Sikhakhane, Madeha Alkelani, Kutlwano Chabaesele, Henry Adeola, Nonhlanhla Khumalo
Registration Number: PROSPERO 2020 CRD42020157025
Status: Published

📄 Pathological Role of Molecular and Phenotypic Changes to Hair Follicle Stem Cells in Scarring Alopecias

Authors: Madeha Al-Kelani, Henry A. Adeola, Richard P. Halley-Stott, Nonhlanhla P. Khumalo
Journal: Journal of Dermatology
Status: Submitted (JDE-2024-0129)

🧪 Stem Cells Biochemical Signatures of Different Classes of Alopecia Identified by FTIR Spectroscopy

Authors: Madeha Al-Kelani, Ogheneochuko Oputu, Henry A. Adeola, Richard P. Halley-Stott, Nonhlanhla P. Khumalo
Journal: Experimental Dermatology
Status: Submitted (EXD-24-0006)

🔬 Proteomic Discovery and Validation of Differentially Expressed Molecular Targets for Keloid: Novel Biomarkers and Treatment Options

Authors: Elvis Banboye Kidzeru, Musalula Sinkala, Temwani Chalwa, Relebohile Matobole, Madeha Alkelani, Zeinab Ghasemishahrestani, Stanley Kimbung Mbandi, Jonathan Blackburn, David Tabb, Henry Ademola Adeola, Nonhlanhla Khumalo, Ardeshir Bayat
Journal: Journal of Investigative Dermatology
Status: Submitted (JID-2024-0188)

🔬 Advancements in Medical Research: Exploring Fourier Transform Infrared (FTIR) Spectroscopy for Tissue, Cell, and Hair Sample Analysis

Authors: Madeha Al-Kelani, Ntandoyenkosi Buthelezi
Journal: Skin Research and Technology
Status: Submitted (SRT13733)

🔬 Development and Optimization of a Keloid Spheroid Model for Evaluation of an Anti-Fibrotic Rock Inhibitor

Authors: Zeinab Ghasemishahrestani, Redxpharma Company, Madeha Alkelani, Traci Wilgus, Nala Kumalo, Aldreshir Bayat
Journal: [Under Review]

🔬 Shotgun Proteomics and Imaging Mass Spectrometry Evaluation of Molecular Hair Follicle Stem Cell Protein Changes in Primary Scarring Alopecia Progression

Authors: Madeha Al-Kelani, Henry A. Adeola, Richard P. Halley-Stott, Nonhlanhla P. Khumalo