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Dr Mohamed Hassan | Pure Mathematics  | Best Researcher Award|

October High Institute for Engineering and Technology, Giza 12596, Egypt,Mansoura University,Egypt

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Dr. Mohamed Hassan Hassan Eldrieny is a mathematician specializing in pure mathematics with a focus on Weighted Gehring and Muckenhoupt classes, norm inequalities, and mathematical analysis. He holds a Master’s degree in Pure Mathematics from Mansoura University, where he also completed his Bachelor’s degree with honors, ranking 4th in his cohort. Dr. Hassan has contributed to mathematical research through publications in esteemed journals and has been recognized with the Mansoura University Award for Distinction for his academic excellence. With experience as a demonstrator at leading engineering institutes in Egypt, he has taught courses in mathematical analysis, probability, and mechanics. Proficient in mathematical software like Matlab and Maple, Dr. Hassan is committed to advancing mathematical knowledge through research, teaching, and professional development.

🎓 Educational Background:

Dr. Mohamed Hassan holds a Master of Science (M.Sc.) in Pure Mathematics from Mansoura University, Egypt, with a thesis focusing on Weighted Gehring and Muckenhoupt Classes and Hardy Inequalities. He completed his Bachelor of Science (B.Sc.) in Mathematics with honors, ranking 4th in his cohort. During his undergraduate studies, Mansoura University ranked among the top institutions globally and nationally. Dr. Hassan also undertook pre-Master studies, further solidifying his expertise in mathematical analysis and related fields.

🔍 Research Focus:

Dr. Hassan specializes in advanced topics in pure mathematics, particularly Gehring and Muckenhoupt classes, focusing on their inclusion properties and norm inequalities. His research explores quantitative dependencies in discrete limiting classes, offering valuable insights into mathematical structures and inequalities.

🏆 Honors & Awards:

Dr. Hassan received the Mansoura University Award for Distinction in 2013 for achieving the top rank in his Mathematics program during his first year. This early recognition highlights his academic excellence and commitment to his field.

💼 Professional Experience:

Dr. Hassan has served as a demonstrator in the Mathematics and Basic Science Departments at leading engineering institutes in Egypt, including the Misr High Institute for Engineering and Technology and the October High Institute for Engineering and Technology. His teaching experience includes courses such as Mathematical Analysis, Probability and Statistics, Mechanics, and Computer Skills. He has consistently demonstrated his ability to effectively guide and mentor students in problem-solving and mathematical applications.

📚 Top Noted Publications :

Title: Performance Evaluation of Cognitive Radio to Limit Interference on Primary System
Authors: Khateeb, A.M.E., Hassan, A.M.A., Seoud, R.A.A.A.A.
Citations: 0
Index: Signal, Image and Video Processing
Year of Publication: 2024

Title: ECG Signals Compression Using Dynamic Compressive Sensing Technique Toward IoT Applications
Authors: Hassan, A.M.A., Mohsen, S., Abo-Zahhad, M.M.
Citations: 4
Index: Multimedia Tools and Applications
Year of Publication: 2024

Title: Compression of Electrocardiogram Signals Using Compressive Sensing Technique Based on Curvelet Transform Toward Medical Applications
Authors: Hassan, A.M.A., Mohsen, S.
Citations: 2
Index: Multimedia Tools and Applications
Year of Publication: 2024

Title: Design and Implementation of a Pilot Model for IoT Smart Home Networks
Authors: Ibrahim, A.S., Abbas, A.M., Hassan, A.M.A., Emam, A., Mohsen, S.
Citations: 4
Index: IEEE Access
Year of Publication: 2023

Title: Brain Tumor Classification Using Hybrid Single Image Super-Resolution Technique With ResNext101_32× 8d and VGG19 Pre-Trained Models
Authors: Mohsen, S., Ali, A.M., El-Rabaie, E.-S.M., Scholz, S.G., Hassan, A.M.A.
Citations: 26
Index: IEEE Access
Year of Publication: 2023

Title: Classification of ECG Signals for Detecting Coronary Heart Diseases Using Deep Transfer Learning Techniques
Authors: Abo-Zahhad, M.M., Hassan, A.M.A.
Citations: 3
Index: Proceedings of the 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC)
Year of Publication: 2022

Conclusion:

Dr. Mohamed Hassan Hassan Eldrieny is an accomplished mathematician with a strong academic foundation, significant research contributions, and a dedication to advancing knowledge in pure mathematics. His expertise, coupled with a commitment to teaching and continuous learning, positions him as a promising scholar in his field.

Dr Mohamed Hassan | Pure Mathematics | Best Researcher Award |

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