Fathalla Rihan | Statistical Analysis | Best Scholar Award

Prof. Fathalla Rihan | Statistical Analysis | Best Scholar Award

United Arab Emirates University | United Arab Emirates

Publication Profile

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Professor Fathalla A. Rihan: A Distinguished Expert in Mathematical Sciences 📚✨

Current Position(s) & Employment History 🏫

  • Professor of Mathematics (2017–present)
    Department of Mathematical Sciences, College of Science, UAE University, UAE 🇦🇪
  • Professor of Mathematics (2011–present)
    Department of Mathematics (on leave), Faculty of Science, Helwan University, Egypt 🇪🇬
  • Associate Professor (2012–2017)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Assistant Professor (2008–2012)
    Department of Mathematical Sciences, College of Science, UAE University, UAE
  • Associate Professor of Mathematics (2005–2011)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
  • Honorary Research Fellow (2000–2010)
    School of Mathematics, University of Manchester, UK 🇬🇧
  • Assistant Professor (2000–2005)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt
    (On leave for Post-Doctoral research in the UK)
  • Senior Research Fellow (2003–2006)
    Salford University, UK, in collaboration with Met Office (Reading University)
  • Research Fellow (2001–2003)
    School of Mathematics, Manchester University, UK
  • Postgraduate Studentship and Lecturer Assistant (1996–2000)
    Department of Mathematics, Manchester University, UK
  • Lecturer (1992–1996)
    Department of Mathematics, Helwan University, Egypt
  • Instructor (1987–1992)
    Department of Mathematics, Faculty of Science, Helwan University, Egypt

Education 🎓

  • Doctor of Science (DSc) in Mathematics (2019)
    National University of Uzbekistan
    Dissertation: “Qualitative and Quantitative Features of Delay Differential Equations and Their Applications”
  • Ph.D. in Mathematics (2000)
    University of Manchester, UK
    Thesis: “Numerical Treatment of Delay Differential Equations in the Biosciences”
  • M.Sc. in Numerical Analysis (1992)
    Helwan University, Egypt
    Thesis: “Spectral and Pseudo-Spectral Method for Solving Partial Differential Equations Using Orthogonal Polynomials”
  • B.Sc. in Mathematics (1985)
    Alexandria University, Egypt, Graduated with Honours

Research Interests  On Statistical Analysis🔬

Prof. Fathalla A. Rihan leads two primary research groups:

  • Numerical Analysis & Mathematical Biology
    • Mathematical modeling of phenomena with time-lags (cell division, population dynamics, infectious diseases, etc.)
    • Numerical treatments for Ordinary, Partial, and Delay Differential Equations (DDEs), as well as Fractional Order Differential Equations
    • Parameter estimation and sensitivity analysis
  • Data Assimilation & Numerical Weather Prediction (NWP)
    • Advanced data assimilation techniques like 3DVar/4D-Var systems
    • Impact of Doppler radial velocities on analysis and forecasting

Research Projects 📊

  • 2024–2026: PI, AUA-UAEU Project: “Continuous Runge-Kutta Methods for Pantograph Delay Differential Equations”
  • 2022–2024: PI, ZU-UAEU Project: “Impact of Stochastic Noise on COVID-19 Dynamics in the UAE”
  • 2022: PI, SURE+ 2022 Program: “Mathematical Modeling of COVID-19 in the UAE”
  • 2021–2023: PI, UPAR-UAEU Project: “Quantitative Features of Delay Differential Equations in Biological Systems”
  • 2017–2019: PI, SQU/UAEU Project: “Delay Differential Models of Immune Response with Viral/Bacterial Infections”

Awards & Recognition 🏆

  • Resignation Award for Publications in Top 5% Journals (2023)
  • Member of Mohammed Bin Rashid Academy of Scientists (2021–present)
  • Top 2% World Scientist (Stanford University 2019–2022)
  • University Excellence Merit Allowance (2019–2020)
  • College Excellence Award for Service (2019–2020)
  • Distinguished Research Awards (2017–2019)
  • College Award for Scholarly Research (2014–2015)

Visitor ships 🌍

  • Research Visitor (2000–2001): Manchester University, UK
  • Research Visitor (2001): University of Hertfordshire, UK
  • Research Visitor (2003–2004): NCAR & Oklahoma Weather Center, USA

Publication Top Notes

Optimal control of glucose-insulin dynamics via delay differential model with fractional-order
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Alexandria Engineering Journal
    • Year: 2025-02 🗓️
Modeling Hybrid Crossover Dynamics of Immuno‐Chemotherapy and Gene Therapy: A Numerical Approach
    • Authors: Muner M. Abou Hasan, Seham M. AL‐Mekhlafi, Fathala A. Rihan, Hannah A. Al‐Ali
    • Journal: Mathematical Methods in the Applied Sciences
    • Year: 2025-02-03 🗓️
Stabilization of bilinear systems with distributed delays using the Banach state space decomposition method
    • Authors: Ayoub Cheddour, Abdelhai Elazzouzi, Fathalla A. Rihan
    • Journal: IMA Journal of Mathematical Control and Information
    • Year: 2024-12-19 🗓️
Continuous Runge–Kutta schemes for pantograph type delay differential equations
    • Authors: Fathalla A. Rihan
    • Journal: Partial Differential Equations in Applied Mathematics
    • Year: 2024-09 🗓️
Fractional order delay differential model of a tumor-immune system with vaccine efficacy: Stability, bifurcation and control
    • Authors: Fathalla A. Rihan, K. Udhayakumar
    • Journal: Chaos, Solitons & Fractals
    • Year: 2023-08 🗓️

 

Nabras Al-Mahrami | Proteomics | Best Researcher Award

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

Oman College of Health Sciences, Oman

Author Profiles 📚

Scopus

Orcid

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

Tesfay Gidey | Statistical Modeling | Best Researcher Award

Dr. Tesfay Gidey | Statistical Modeling | Best Researcher Award

Dr. Tesfay Gidey at Addis Ababa Science and Technology University, Ethiopia

👨‍🎓 Professional Profile

 📚 Early Academic Pursuits

Dr. Tesfay Gidey Hailu’s academic journey began with a strong foundation in Statistics at Addis Ababa University, where he earned his BSc with a minor in Computer Science. This rigorous curriculum equipped him with vital skills in statistical methods and computer programming, laying the groundwork for his future studies. He furthered his education with an MSc in Health Informatics and Biostatistics at Mekelle University, delving into advanced topics such as epidemiology and public health, which ignited his passion for applying data-driven solutions in healthcare.

💼 Professional Endeavors

Dr. Gidey has demonstrated remarkable leadership in academia, serving as Associate Dean at Addis Ababa Science and Technology University (AASTU) for multiple departments. His responsibilities included driving research initiatives, enhancing curriculum quality, and overseeing student services. Additionally, his role as Head of Department at Jimma University showcased his commitment to improving departmental operations and student satisfaction. His extensive experience in project management underscores his ability to lead technology projects effectively.

🔬 Contributions and Research Focus

Dr. Gidey’s research is centered on critical areas such as signal processing, indoor localization, and machine learning. His Ph.D. work at the University of Electronic Science and Technology of China focused on applying advanced algorithms to real-world problems, particularly in indoor positioning systems. His contributions to quality control in manufacturing industries and the modeling of public health data further highlight his dedication to leveraging data for impactful solutions.

🌍 Impact and Influence

Through his academic and professional endeavors, Dr. Gidey has significantly influenced the fields of Information and Communication Engineering and data science. His ability to bridge theory and practical application positions him as a valuable asset in technology-driven environments. His commitment to mentoring students and faculty alike has fostered a culture of innovation and continuous improvement within the institutions he has served.

📊 Academic Citations

Dr. Gidey’s scholarly work has gained recognition within academic circles, with several publications focusing on his research areas. His contributions to journals as a reviewer and author have enriched the body of knowledge in his fields, emphasizing the importance of interdisciplinary approaches to problem-solving.

🛠️ Technical Skills

Dr. Gidey is proficient in a variety of programming languages, including Python, R, Java, and C++. He is skilled in using statistical tools such as SAS, SPSS, and advanced machine learning packages. His expertise in data visualization and business intelligence tools, like Tableau and Power BI, equips him to extract meaningful insights from complex datasets.

👩‍🏫 Teaching Experience

With years of teaching experience, Dr. Gidey has effectively communicated complex subjects to students, ensuring they grasp fundamental concepts in information technology and data science. His ability to adapt his teaching methods to diverse learning styles has contributed to high levels of student engagement and success.

🌟 Legacy and Future Contributions

Dr. Gidey is dedicated to advancing the fields of data science and information engineering through research, teaching, and community engagement. His vision includes fostering collaborations between academia and industry, particularly in developing innovative solutions for public health and manufacturing. As he continues his career, Dr. Gidey aims to leave a lasting legacy that inspires future generations of engineers and data scientists.

📈 Conclusion

With a strong foundation in academic excellence, professional leadership, and research innovation, Dr. Tesfay Gidey Hailu stands poised to make significant contributions to the field of Information and Communication Engineering. His passion for data and commitment to actionable results ensure he will continue to drive progress and inspire those around him.

 

📖 Top Noted Publications

Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Measurement Science and Technology
  • Author: Bright Awuku; Ying Huang; Nita Yodo; Eric Asa
    Journal: Measurement Science and Technology
    Year: 2024
Measurement Science and Technology
  • Author: Xun Zhang; Guanghua Xu; Xiaobi Chen; Ruiquan Chen; Jieren Xie; Peiyuan Tian; Sicong Zhang; Qingqiang Wu
    Journal: Measurement Science and Technology
    Year: 2024
Machine Learning: Science and Technology
  • Author: Omer Subasi; Sayan Ghosh; Joseph Manzano; Bruce Palmer; Andrés Marquez
    Journal: Machine Learning: Science and Technology
    Year: 2024
 MultiDMet: Designing a Hybrid Multidimensional Metrics Framework to Predictive Modeling for Performance Evaluation and Feature Selection
  • Author: Tesfay Gidey Hailu; Taye Abdulkadir Edris
    Journal: Intelligent Information Management
    Year: 2023