Michael | Geological Remote Sensing | Best Researcher Award

Mr. Michael | Geological Remote Sensing | Best Researcher Award

University of Electronic Science and Technology of China,Ā  China

Michael Appiah-Twum, a geoscientist, combines Artificial Intelligence and Machine Learning with advanced remote sensing to revolutionize natural resources and environmental management. He specializes in geospatial data analysis for geological surveys, mineral exploration, petroleum exploration, and environmental monitoring. With a solid foundation in geology, geophysics, and geochemistry, Michael integrates cutting-edge AI technologies for sustainable development. Currently pursuing a Ph.D. in Information and Communication Engineering at the University of Electronic Science and Technology of China, he excels in developing innovative AI-driven solutions for geological interpretation and resource management.

Profile

Orcid

Scholar

šŸŽ“ Education

Ph.D. in Information and Communication Engineering: University of Electronic Science and Technology of China (2020-Present); GPA: 3.52/4.0. Thesis: Deep Learning-based Multisource Geological Interpretation. M.Sc. in Information and Communication Engineering: University of Electronic Science and Technology of China (2020); GPA: 3.51/4.0. Thesis: Remote Sensing and Geological Survey of Gold Deposits. B.Sc. in Earth Science: University for Development Studies, Ghana (2014). Thesis: Atlas of Laterite and Exploration Implications.

šŸ§‘ā€šŸ« Experience

Researcher: Yangtze Delta Region Institute, UESTC (2022ā€“Present) ā€“ Conducting AI/ML research for geological data analysis and mineral exploration. Course Instructor: UESTC (2023) ā€“ Designed curricula and taught Remote Sensing in Resources and Environment. Teaching Assistant: UESTC (2022ā€“2023) ā€“ Conducted tutorials, guided projects, and mentored students in Remote Sensing. VIP Member: UESTC Green Club (2018ā€“2020) ā€“ Advocated sustainable agriculture and environmental awareness. Electoral Official: Electoral Commission of Ghana (2015) ā€“ Managed polling operations during elections.

šŸ† Awards and Honors

Top Ranked Ph.D. Student: University of Electronic Science and Technology of China (2020-Present). Graduate Student Member: IEEE Geoscience and Remote Sensing Society. Top Ranked M.Sc. Student: UESTC, Chengdu (2020). Research Excellence: Developed advanced geological interpretation models using AI/ML. Leadership Recognition: UESTC Green Club VIP for promoting sustainability and environmental stewardship.

šŸ”¬ Research Focus

Geological Surveys: Using remote sensing for mineral and petroleum exploration. AI/ML Applications: Implementing deep learning for geological and environmental data interpretation. Geospatial Analysis: Advanced modeling for resource exploration and sustainable development. Hydrology and Regolith: Focused on soil mechanics and hydrogeology for environmental management. Remote Sensing Integration: Leveraging UAVs and satellite imagery for accurate geoscientific data visualization.

ConclusionĀ 

Michael Appiah-Twum is undoubtedly a strong contender for the Best Researcher Award, given his exceptional research in remote sensing, AI/ML applications, and resource management. His technical proficiency, leadership in academic settings, and dedication to sustainability make him a highly deserving candidate. With minor improvements in interdisciplinary collaboration and global outreach, his impact on the geoscience field could expand even further, contributing to more innovative and sustainable solutions in the industry.

šŸ“šPublicationsĀ 

  1. Spatial distribution and trace element geochemistry of laterites in Kunche area: Implication for gold exploration targets in NW, Ghana
    Authors: E.D. Sunkari, M. Appiah-Twum, A. Lermi
    Journal: Journal of African Earth Sciences, 158, 103519 (2019)
    Citations: 34

 

  1. Data Centric Blockchain-Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques
    Authors: E.M. Acheampong, S. Zhou, Y. Liao, P. Atandoh, D. Addo, E. Antwi-Boasiako, et al.
    Conference: 2023 20th International Computer Conference on Wavelet Active Media
    Citations: 1

 

  1. Enhanced Word Embedding with CNN Using Word Order Information for Sentiment Analysis
    Authors: P. Atandoh, Z. Fengli, P.A. Hakeem, E.M. Acheampong, D. Addo, et al.
    Conference: 2023 20th International Computer Conference on Wavelet Active Media
    Citations: 1

 

  1. Assessing Landsat-9 in Identifying Lithology Using a Hybrid Metric-Learning and SVM Method Against Baseline Algorithms: A Case Study of the West African Craton
    Authors: M. Appiah-Twum, H. Jia, W. Xu
    Conference: IGARSS 2023 – IEEE International Geoscience and Remote Sensing Symposium
    Citations: 1

 

  1. Using Laterite Geochemistry for Exploration of Orogenic Gold Deposits in the Wa-Lawra Belt, NW Ghana: Kunche in Perspective
    Authors: E.D. Sunkari, M. Appiah-Twum, A. Lermi
    Journal: Niğde Ɩmer Halisdemir Ɯniversitesi MĆ¼hendislik Bilimleri Dergisi, 7(3), 1137 (2018)
    Citations: 1

 

  1. DenseViT: A Hybrid CNN-Vision Transformer Model for an Improved Multisensor Lithological Classification
    Authors: M. Appiah-Twum, W. Xu, E.M. Acheampong
    Conference: IGARSS 2024 – IEEE International Geoscience and Remote Sensing Symposium (2024)

 

  1. An Attention-Based LSTM Lithological Classification Using Multisensor Datasets
    Authors: M. Appiah-Twum, W. Xu
    Conference: IGARSS 2024 – IEEE International Geoscience and Remote Sensing Symposium (2024)

 

  1. Lithological Classification Using Densely Connected Convolution Network on Landsat-9 and Aster Datasets in a Semi-Arid Environment
    Authors: M. Appiah-Twum, X. Wenbo, C.B. Mawuli, P. Atandoh
    Conference: 2023 20th International Computer Conference on Wavelet Active Media (2023

 

Alemeshet Kebede Yimer | Remot sensing and hydrology | Best Researcher Award

Mrs. Alemeshet Kebede Yimer | Virtual Reality | Young Scientist Award

Mrs at Arba Minch University, Ethiopia Ethiopia

Dr. Alemkebede Yimer is a researcher and educator specializing in Irrigation and Drainage Engineering, GIS, and Remote Sensing. Since 2003, he has taught and conducted research at Arba Minch University, Ethiopia, focusing on water resource management and irrigation. His expertise includes remote sensing for irrigated area mapping and model-based water abstraction evaluation. He holds a Ph.D. in Irrigation and Drainage Engineering, an MSc in Climate Change & Development, and a BSc in Civil Engineering, all from Arba Minch University. He also has a BED in Physics from Dilla University and various certifications in climate modeling and teaching methodology.

Publication Profile

Scholar

šŸ¢ Work Experience

Researcher and Lecturer, Arba Minch University, Ethiopia 07/08/2003 ā€“ Present Specializing in Irrigation and Drainage Engineering, GIS and Remote Sensing, Environmental Science, and Physics. Focused on Remote Sensing-based irrigated area mapping and water resource consultancy. Expertise in evaluating water abstraction in basins and implementing model-based approaches in irrigation.

šŸŽ“ Education and Training

Ph.D. in Irrigation and Drainage Engineering, Arba Minch University, Ethiopia 2019 ā€“ Present. MSc in Climate Change & Development, Arba Minch University, Ethiopia 2013 ā€“ 2015. BSc in Civil Engineering, Arba Minch University, Ethiopia 2011 ā€“ 2015 Bed in Physics, Dilla University, Ethiopia 2003 – 2007 Certificate on 3rd Regional Climate Impact Modelling Workshop for Eastern Africa, Addis Ababa University, Ethiopia 2013 Higher Educational Institute Teaching Methodology Certificate, Arba Minch University 2012 Computer Diploma, Durame Isaac Computer and Language Training Center, Ethiopia 2002. High School Level, Arba Minch Comprehensive High School 1998 ā€“ 2000 Junior Level, Arba Minch Junior School 1996 ā€“ 1997 Elementary Level, Arba Minch Elementary School 1994 ā€“ 1995

šŸŒŸ Personal Skills

Communication Skills: Strong communication abilities developed through extensive teaching and research. Job-Related Skills: Proficient in quality control processes and faculty teaching.. Computer Skills: Expertise in SNAP tool, ArcGIS, ENVI, MATLAB, SMARG, all MS applications, ORANGE 8, GrADS, and Fortran. Other Skills: Drawing.

 

šŸ† Assessment for the Research for Best Researcher Award šŸ†

Strengths for the Award:

  1. Extensive Research Experience: Alemachew Kebede Yimer’s role as a researcher and lecturer in irrigation and drainage engineering, GIS, and remote sensing demonstrates a strong background in critical areas related to water management and environmental science. His work with the International Water Management Institute (IWMI) on remote sensing-based irrigation mapping and water abstraction evaluation highlights his expertise and contributions to the field.
  2. Specialized Knowledge: His specialization in remote sensing and model-based approaches for evaluating water resources is highly relevant to current global challenges in water management and climate change. This niche expertise aligns well with the criteria for the Research for Best Researcher Award.
  3. Academic and Professional Qualifications: Alemachew holds a Ph.D. in Irrigation and Drainage Engineering and has additional qualifications in climate change and development, civil engineering, and teaching methodology. This diverse educational background supports his in-depth understanding and capability in his research domain.
  4. Proven Impact and Contributions: His consultancy work with IWMI and his involvement in high-impact research projects reflect his ability to influence and advance the field. His contributions to model-based evaluations and remote sensing applications are notable achievements.
  5. Strong Language and Communication Skills: Alemachewā€™s excellent proficiency in English and Amharic, along with his good communication skills, enhance his ability to collaborate, present, and disseminate research findings effectively.

Areas for Improvement:

Expand Research Scope: While Alemachewā€™s specialization is impressive, expanding his research to include more interdisciplinary approaches or emerging technologies could further enhance his impact. Engaging with new methodologies or broader topics in environmental science and engineering might provide additional opportunities for groundbreaking work.. Increase International Collaboration: Strengthening international collaborations could provide new perspectives and opportunities for joint research initiatives. Participating in more global conferences and projects could enhance his visibility and influence within the global research community.. Enhance Publication Record: Increasing the number of publications in high-impact journals and presenting at international conferences could further solidify his reputation as a leading researcher. Focus on publishing innovative findings and high-quality research outputs.

Publications:

  1. Title: Seasonal effect on the accuracy of Land use/Land cover classification in the Bilate Sub-basin, Abaya-Chamo Basin, Rift valley Lakes Basin of Ethiopia
    Authors: A.K. Yimer, A.T. Haile, S.D. Hatiye, A.G. Azeref
    Journal: Ethiopian Journal of Water Science and Technology
    Year: 2020
    Volume: 3
    Pages: 23-50
    Citations: 6

 

  1. Title: Implications of uncontrolled water withdrawal and climate change on the water supply and demand gap in the Lake Tana sub-basin
    Authors: M. Ferede, A. Haile, A. Gedle, A. Kebede, S.D. Amare, M. Taye
    Journal: Ethiopian Journal of Water Science and Technology
    Year: 2022
    Volume: 5
    Pages: 74-101
    Citations: 2

 

  1. Title: Comparative Evaluation of the Accuracy of Mapping Irrigated Areas using Sentinel 1 Images in the Bilate and Gumara Watersheds, Ethiopia
    Authors: A.K. Yimer, A.T. Haile, S.D. Hatiye, S. Ragettli, M.T. Taye
    Journal: Cogent Engineering
    Year: 2024
    Volume: 11
    Pages: 1-19
    ISSN: 2331-1983

Conclusion:

Muhammad Javed Ramzan is a strong candidate for the Research for Young Scientist Award. His expertise in XR and AI, combined with a solid academic background, innovative research contributions, and notable achievements, position him well for this recognition. By broadening his research focus, increasing international exposure, and enhancing industry collaborations, Muhammad could further elevate his standing as a leading young scientist. His innovative approach and commitment to advancing technology make him a deserving candidate for this award.