postdoc, UESTC, China📝
Mohamed Ahmed Hassan Damos, PhD, PE, is a skilled Survey Engineer and researcher with a specialization in Geomatics Science and Technology. With six peer-reviewed scientific articles and over five years of academic experience, he has contributed significantly to survey engineering and GIS. He earned his Ph.D. from Southwest Jiaotong University, China, where he also worked as a researcher. Damos is passionate about advancing research in geomatics, especially through machine learning applications. His career goals focus on applying his knowledge and expertise in academic and research settings to continue solving engineering challenges.
Profile
Google Scholar
Education 🎓
Mohamed has accumulated vast experience as a Survey Engineer at the Sudanese Survey Authority (2010-2012), followed by teaching roles at Karary University as a Teaching Assistant (2012-2016) and Lecturer (2016-2017). His research work in Geomatics Science and Technology spans several years, and he also served as a Ph.D. researcher at Southwest Jiaotong University from 2017-2024.
Research Interests 🔬
Dr. Damos specializes in Survey Engineering, with a particular focus on the application of machine learning in geomatics. His research aims to integrate advanced algorithms like genetic and ant colony algorithms to optimize urban tourism paths and improve the efficiency of geomatics technologies.
Awards 🏆
Dr. Damos has been recognized for his research contributions in survey engineering, particularly in geomatics science. He continues to receive praise for his academic achievements and impactful publications in GIS and survey-related fields.
Publications 📚
Damos, M. A., Zhu, J., Li, W., Khalifa, E., & Hassan, A. (2021). A novel urban tourism path planning approach based on a multiobjective genetic algorithm. ISPRS International Journal of Geo-Information, 10(8): 530. Link to article
Damos, M. A., Zhu, J., Li, W., Khalifa, E., Hassan, A., et al. (2024). Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations. ISPRS International Journal of Geo-Information, 13(2): 40. Link to article
Elhabob, R., Adel, A., Eltayieb, N., Hassan, A., Damos, M. A. (2021). An efficient signcryption scheme for vehicular satellite-based networks. Journal of Karary University for Engineering and Science.
Mustafa, E. K., Liu, G., Hassan, A., Damos, M. A., Tarawally, M. (2020). Predicting of Land Surface Temperature Distribution in Freetown City, Sierra Leone by Using Polynomial Curve Fitting Model. Journal of Geographic Information System, 12(05): 531. Link to article
Hassan, A., Mustafa, E. K., Mahama, Y., Damos, M. A., Zhang, L., Jiang, Z. (2020). Analytical study of 3D transformation parameters between WGS84 and Adindan datum systems in Sudan. Arabian Journal for Science and Engineering, 45(1): 351-365. Link to article
Conclusion
Based on his research contributions, academic qualifications, and professional experience, Mohamed Ahmed Hassan Damos is a highly suitable candidate for the Best Researcher Award. His expertise in geomatics and innovative application of machine learning is valuable in the field, and with continued growth, he has the potential to make even greater advancements in his area of specialization. His academic contributions demonstrate his readiness for this recognition.