Marwa Hassan - Machine learning - Editorial Board Member

National Research Centre - Egypt

Professional Profiles:

Early Academic Pursuits:

Dr. Marwa Hassan's academic journey began with a strong passion for research and a focus on Biomathematics, Bioinformatics, and Computational Biology. She pursued her Ph.D. at Zagazig University, where she delved deep into these fields, laying the foundation for her future endeavors. During her academic pursuit, Dr. Hassan demonstrated exceptional skills in communication, presentation, training, and research, which would serve as valuable assets throughout her career.

Professional Endeavors:

Dr. Hassan's professional journey has been marked by a commitment to research and academic coaching. She joined one of Egypt's pioneering bioinformatics groups in 2008, collaborating with the Liver Institute in Qasr al-Aini to address the challenge of Hepatitis C. Her work in this collaboration resulted in numerous publications in esteemed journals, showcasing her expertise and dedication to advancing knowledge in the field. Since then, she has continued to contribute to research and academia, holding positions as a Researcher and Academic Coach at the National Research Centre (NRC).

Contributions and Research Focus On Machine learning :

Dr. Hassan's primary research focus revolves around improving the detection process of pathogenic human mutations through the use of Machine Learning Techniques (MLTs). Her expertise in Biomathematics, Bioinformatics, and Computational Biology has equipped her with the necessary skills to tackle complex challenges in this area. By leveraging MLTs, Dr. Hassan aims to enhance diagnostic accuracy, leading to more effective interventions and treatments for genetic disorders.

Machine learning, a subset of artificial intelligence, empowers computers to learn from data and improve performance over time without explicit programming. It's revolutionizing industries by enabling predictive modeling, data analysis, and automation. Marwa Hassan, an accomplished researcher, contributes expertise in biomathematics and computational biology to the field. Her work focuses on leveraging machine learning techniques to enhance the detection of pathogenic human mutations, showcasing her commitment to advancing healthcare through innovative solutions. Join her in shaping the future of AI and data science.

Accolades and Recognition:

Throughout her career, Dr. Hassan has received recognition for her contributions to research and academia. Her publications in prestigious journals stand as a testament to the quality and impact of her work. Additionally, her role as an Academic Coach at the National Research Centre reflects her ability to mentor and guide the next generation of researchers, earning her respect and admiration from peers and students alike.

Impact and Influence In Machine learning :

Dr. Hassan's work has had a significant impact on the field of Biomathematics, Bioinformatics, and Computational Biology. Her research efforts have contributed to advancements in understanding and diagnosing genetic disorders, particularly in the context of Hepatitis C. Furthermore, her role as an Academic Coach has helped nurture a culture of research excellence at the National Research Centre, shaping the future of the scientific community in Egypt and beyond.

Legacy and Future Contributions:

As Dr. Hassan continues her journey in research and academia, her legacy is poised to grow even further. Her dedication to advancing knowledge and solving real-world problems in healthcare positions her as a key figure in the field of Biomathematics, Bioinformatics, and Computational Biology. Moving forward, she remains committed to pushing the boundaries of scientific inquiry, mentoring aspiring researchers, and making impactful contributions to human health through her work

Notable Publications:

A review study: computational techniques for expecting the impact of non-synonymous single nucleotide variants in human diseases 2019

Evaluation of computational techniques for predicting non-synonymous single nucleotide variants pathogenicity 2019

Accurate prediction of response to Interferon-based therapy in Egyptian patients with Chronic Hepatitis C using machine-learning approaches 2012

The decision tree mode for prediction the response to the treatment in patients with chronic hepatitis C 2011

Bio
Ahmed Thabet was born in Aswan, Egypt in 1974. He received the BSc from Faculty of Energy Engineering (FEE) Electrical Engineering degree in 1997, and MSc (FEE) Electrical Engineering degree in 2002 both from Faculty of Energy Engineering, Aswan, Egypt. PhD degree had been received in Electrical Engineering in 2006 from El-Minia University, Minia, Egypt. He joined with Electrical Power Engineering Group of Faculty of Energy Engineering in South Valley University as a Demonstrator at July 1999, until; he held Professor position at October 2017 up to date. His research interests focus in the areas of analysis and developing electrical engineering models and applications, investigating novel nanotechnology materials via addition nano-scale particles and additives for usage in industrial branch, electromagnetic materials, electroluminescence and the relationship with electrical and thermal ageing of industrial polymers. A lot of mobility’s has investigated for supporting his research experience in UK, Finland, Italy, USA and KSA …etc. In 2009, he established 1st Nano-Technology Research Centre in the Upper Egypt for developing industrial materials of ac and dc applications by nano-technology techniques through it was published many scientific in developing industrial applications using the latest technologies in nanotechnology. He is classified within TOP 2% of Scientists worldwide, September 2022 data-update for "Updated science-wide author databases of standardized citation indicators. He has high numerous quality publications which have been published and under published in cited international journals and conferences. He has many electronic and printed books in grounding systems, designing composite materials and nanodielectrics for industrial applications and investment the emerging nanotechnology applications in electrical engineering. From 2018 up to Date, he has been held a full professor position in Colleges of Engineering at Saudi Arabia.

Institutions
Aswan University

Affiliations
Scopus
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