Nabras Al-Mahrami | Proteomics | Best Researcher Award

Mr. Nabras Al-Mahrami | Proteomics | Best Researcher Award

Oman College of Health Sciences, Oman

Author Profiles 📚

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Early Academic Pursuits 🎓

Mr. Nabras Al-Mahrami’s academic journey has been marked by a strong foundation in molecular medicine and bioinformatics. After completing his BSc in Medical Laboratory Science at Oman College of Health Sciences in 2018, he pursued an MSc in Molecular Medicine (Bioinformatics) at the Cyprus Institute of Neurology and Genetics in Cyprus, graduating in 2022. His research project, titled “Bioinformatics approach to related genetic variants with functionality, phenotype, and pathogenicity,” underscores his deep interest in understanding the genetic basis of diseases through bioinformatics techniques. This academic background enabled him to merge laboratory science with computational biology seamlessly.

Professional Endeavors 🧬

Mr. Al-Mahrami has developed a strong professional profile, especially in bioinformatics, through his roles at Oman College of Health Sciences and the National Genetic Center. As a Bioinformatician at the Royal Hospital in Muscat from 2018 to 2024, he played a key role in genomics data analysis, developing pipelines for whole genome sequencing (WGS), whole exome sequencing (WES), and target panel analysis. His work also spanned Genome-Wide Association Studies (GWAS), Gene Set Enrichment Analysis (GSEA), RNA-seq analysis, and proteomics data analysis, demonstrating his broad and diverse expertise in the molecular biology and bioinformatics fields.

Contributions and Research Focus 🔬

Mr. Al-Mahrami’s research has greatly contributed to the field of bioinformatics, particularly in genetic variant analysis, phenotypic predictions, and understanding the pathogenicity of diseases. His use of advanced tools like machine learning, molecular docking, and network interaction analysis in the development of bioinformatics tools has further enhanced the precision of genomic research. His impactful research involves bridging the gap between bioinformatics, molecular genetics, and clinical applications, fostering advancements in precision medicine.

Impact and Influence 🌍

Through his work, Mr. Al-Mahrami has influenced bioinformatics research not only in Oman but globally. His involvement in high-profile conferences, such as the 5th Congress of Reproductive Genetics and the Precision Med Exhibit and Summit 2023, has allowed him to share his insights on cutting-edge genetic technologies and their clinical applications. His academic contributions have positioned him as a key figure in applying bioinformatics approaches to real-world medical challenges.

Academic Cites 📚

Mr. Al-Mahrami has contributed significantly to academic advancements. His research and presentations have been featured at various scientific conferences and workshops, such as the Gene Set Enrichment Analysis Workshop hosted by the Swiss Bioinformatics Institute. His academic works and insights into genetic technologies are widely cited and discussed in the bioinformatics and medical communities, particularly regarding the potential of AI-driven bioinformatics tools in healthcare.

Technical Skills 💻

Mr. Al-Mahrami possesses advanced technical skills essential for modern bioinformatics. His proficiency in R (RStudio) and Python programming allows him to handle large datasets and perform complex analyses, while his experience with Linux OS and HPC ensures that his computational work is efficient and scalable. Additionally, his knowledge in CSS and JavaScript aids in the development of user-friendly bioinformatics tools and applications.

Teaching Experience👨‍🏫

In 2024, Mr. Al-Mahrami took on the role of Academic Faculty in Bioinformatics at Oman College of Health Sciences, where he teaches Principles of Bioinformatics, covering both theoretical and practical modules, and Laboratory Management. His ability to impart knowledge to students helps shape the next generation of bioinformaticians, ensuring they are equipped with both theoretical insights and hands-on experience in the field. His passion for education extends beyond the classroom, influencing students to pursue careers in bioinformatics and molecular medicine.

Legacy and Future Contributions 🌟

Looking forward, Mr. Al-Mahrami’s journey is marked by his commitment to expanding bioinformatics research and education in Oman and beyond. His work in genomic data analysis, AI integration, and bioinformatics tools development lays the groundwork for future innovations in personalized medicine. His legacy will likely include contributing to groundbreaking research and training future generations of bioinformaticians, particularly in regions with emerging biomedical research landscapes. With his continued involvement in both academia and research, his influence on the scientific community is poised to grow, fostering a deeper understanding of the genetic basis of diseases and improving patient care globally.

Top Noted Publications 📖

Exploring advanced genomic and immunoinformatics techniques for identifying drug and vaccine targets against SARS-CoV-2
    • Authors: Syed Luqman Ali, Awais Ali, Waseef Ullah, Abdulaziz Alamri, Elham Mohammed Khatrawi, Gulzira Sagimova, Aigul Almabayeva, Farida Rakhimzhanova, Gulsum Askarova, Fatima Suleimenova et al.
    • Journal: Journal of Genetic Engineering and Biotechnology
    • Year: 2024
In-silico and in-vitro studies to identify potential inhibitors of SARS-CoV-2 spike protein from Omani medicinal plants
    • Authors: Nabras Al-Mahrami, Smitha Sunil Kumaran Nair, Adhra Al Mawali, Raja-Mohamed Beema Shafreen, Saeed Ullah, Sobia Ahsan Halim, Ahmed Al-Harrasi, Nallusamy Sivakumar
    • Journal: Heliyon
    • Year: 2024
Bioinformatics Approach is Unraveling Potential Crosstalk between Cytomegalovirus and Epilepsy
    • Authors: Salim Al Rashdi, Nabras Al-Mahrami
    • Journal: Preprint
    • Year: 2024
PlantMedOman: an online database for Oman’s medicinal plants
    • Authors: Department of Computing and Electronics Engineering, Middle East College, Sultanate of Oman; Smitha Sunil Kumaran Nair; Aqsa Bibi; Nabras Al-Mahrami; Piyusha Mahesh Satam; Alya Al Farsi et al.
    • Journal: Bioinformation
    • Year: 2024

Rita Mwendia Njeru | Natural Sciences | Best Researcher Award

Ms. Rita Mwendia Njeru, Natural Sciences, Best Researcher Award

Ms. Rita Mwendia Njeru at University of Szeged, Hungary

Professional Profile

Orcid  Profile

🌟Summary

Rita Mwendia Njeru is a Geophysics Researcher at the University of Szeged, Hungary, specializing in digital rock physics and 3D imaging analysis. Her research focuses on microscale characterization of geothermal reservoirs using micro-computed tomography for optimizing water reinjection in the Pannonian Basin.

🎓Education

Rita Mwendia Njeru has pursued a rigorous academic path, culminating in a Ph.D. in Geophysics from the University of Szeged, Hungary, where her research focuses on microscale characterization of geothermal reservoirs using advanced imaging techniques. She holds a Master of Science degree in Physics from Egerton University, Kenya, where she pioneered the Geophysics option for the Masters’ program and played a pivotal role in developing academic frameworks for subsequent students. Rita’s academic journey began with a Bachelor of Science in Physics and Mathematics, also from Egerton University, where she graduated with honors and engaged in extensive coursework that extended beyond traditional physics, including economics and communication skills.

💼 Professional Experience

Rita Mwendia Njeru brings a wealth of professional experience in geophysics research and academic leadership. Currently a Geophysics Researcher at the University of Szeged, Hungary, Rita specializes in digital rock physics and 3D imaging analysis. Her ongoing doctoral research focuses on optimizing water reinjection in geothermal reservoirs within the Pannonian Basin using micro-computed tomography. Previously, Rita served as a Graduate Teaching Assistant and Tutorial Fellow at Egerton University, Kenya, where she not only taught undergraduate courses in geophysics but also coordinated academic advising and led outreach initiatives to promote science education, particularly encouraging women to pursue physics. She has collaborated with renowned research institutes such as Geochem-Hungary and LIAG-Germany, contributing to advancements in geothermal energy research and digital rock physics. Rita’s diverse roles have equipped her with strong project management skills and a deep commitment to academic excellence and research innovation.

🔬 Research Interests

Rita Mwendia Njeru’s research interests center on advancing the field of geophysics through innovative applications of digital rock physics and 3D imaging analysis. Her current focus is on microscale characterization of geothermal reservoirs using micro-computed tomography, aiming to optimize water reinjection strategies in the Pannonian Basin. Rita is passionate about leveraging cutting-edge technology to address challenges in energy sustainability and geological resource management. Her interdisciplinary approach combines expertise in image processing with a deep understanding of geophysical principles, contributing to the development of sustainable energy solutions and enhancing our understanding of geological systems.

📖 Publication Top Noted

Micro-scale investigation of the pore network of sandstone in the Pannonian Basin to improve geothermal energy development

    • Authors: Rita Mwendia Njeru, Matthias Halisch, János Szanyi
    • Journal: Geothermics
    • Volume: 2024-09

Optimizing Micro-CT Resolution for Geothermal Reservoir Characterization in the Pannonian Basin

    • Authors: Rita Mwendia Njeru, Akhmad Sofyan, Matthias Halisch, Balázs Kóbor, János Szanyi
    • Journal: Energies
    • Volume: 2024-06-22

Determination of Scaling Zone and Scaling Type in Slotted Liner Based on the Fluid Flow Pattern in the Geothermal Well “X”

    • Authors: Rita Mwendia Njeru
    • Journal: International Journal of Renewable Energy Research
    • Volume: 13
    • Issue: 1
    • Pages: 8681-8693
    • Year: 2023