Michael | Geological Remote Sensing | Best Researcher Award

Posted on by ScienceFather

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

 

Lateef Adamolekun | Mining Engineering| Best Researcher Award

Posted on by ScienceFather

Mr. Lateef Adamolekun |Mining Engineering| Best Researcher Award

Mr at DANGOTE CEMENT PLC, GBOKO, BENUE STATE, NIGERAI/FEDERAL UNIVERSITY OF TECHNOLOGY, AKURE, NIGERIA,Ā  Nigeria

Adamolekun Lateef Bankole, born on August 28, 1983, in Owo, Ondo State, Nigeria, is a highly skilled Mining Engineer with a passion for advancing mining operations through innovation and research. Currently employed at Dangote Cement Plc, Gboko Plant, since 2014, he has demonstrated expertise in mine dewatering, haulage auditing, and production scheduling. With a strong academic background, he is pursuing a Ph.D. in Surface Mining Engineering at the Federal University of Technology, Akure. Bankole is committed to enhancing mining practices while ensuring environmental safety and regulatory compliance. His work focuses on cost control, optimization of mining processes, and safety improvements in blasting operations. He is a registered Mining Engineer with COREN and COMEG and holds various professional qualifications, including a Blasting Certification.

Profile

Scopus

šŸŽ“ Education

Adamolekun Lateef Bankole holds a Ph.D. in Surface Mining Engineering (ongoing) from the Federal University of Technology, Akure (2020-present). He earned an M.Eng. in Surface Mining Engineering with a 2nd Class Upper Division from the same university (2012-2015). Prior to this, he completed a B.Eng. in Mining Engineering (2nd Class Upper Division) from the Federal University of Technology, Akure (2007-2011). He also holds a National Diploma in Mineral Resources Engineering (Upper Credit) from the Federal Polytechnic, Ado-Ekiti (2004-2006) and completed his SSCE at Ijapo High School, Akure (1996-2002).

šŸ’¼ Experience

Adamolekun Lateef Bankole has been a Mining Engineer at Dangote Cement Plc, Gboko Plant, Benue State, since 2014. His responsibilities include implementing ROM haulage auditing techniques, mine dewatering, production scheduling, and ensuring compliance with environmental and safety standards. He coordinates blasting operations, overburden stripping, crushing, and stacking operations, and prepares daily mining reports for management. His expertise in blasting ground control and operational research in haulage has led to significant cost reductions and enhanced mining efficiency. Additionally, Bankole designs mining benches and supervises the construction and maintenance of mine roads and ramps.

šŸ† Awards and Honors

Adamolekun Lateef Bankole has received several awards for his academic and professional excellence. In 2015, he was honored with the “Achievement Award” from IIBC Korea. He earned the “Best Paper Award” at the ISSAC 214 and ICACT 2014 conferences, organized by IIBC, Seoul, Korea. In 2012, he received the “Excellent Paper Award” from the Korea Institute of Information Technology. Bankole’s contributions were also recognized with a “Certificate of Honorary Citizenship” from the Mayor of Seong-buk district, Seoul, Korea. He has been awarded for his research work and innovation in mining engineering and safety.

šŸ”¬ Research Focus

Adamolekun Lateef Bankoleā€™s research focuses on surface mining engineering, mine design optimization, and operational efficiency. His work includes advancements in mining cost control, blasting safety improvement, and dewatering techniques. Bankole is particularly interested in machine learning applications, such as Artificial Neural Networks (ANN), Particle Swarm Optimization-ANN (PSO-ANN), and Genetic Programming Regression (GPR), for optimizing mining operations. His research aims to enhance the productivity and sustainability of mining activities, ensuring that they meet safety and environmental standards while minimizing operational costs and maximizing efficiency in the mining industry.

Conclusion

Dr. Adamolekun Lateef Bankole demonstrates remarkable proficiency in mining engineering, research, and technological applications. His career is marked by a strong foundation in practical mining operations, combined with a commitment to academic growth and innovation. With more research-focused publications and expanded international collaboration, Dr. Bankole is poised to make a significant impact in the mining engineering field and deserves serious consideration for the Best Researcher Award. His dedication, technical expertise, and leadership skills position him as an outstanding candidate for this recognition.

Publications šŸ“š

Kehinde Oyeyemi | Geophysics | Best Researcher Award

Posted on by ScienceFather

Dr. Kehinde Oyeyemi | Geophysics | Best Researcher Award

Dr at Oyeyemi Covenant University, Nigeria

Dr. Kehinde Oyeyemi is a Senior Lecturer in Applied Geophysics at Covenant University, Nigeria, where he has made significant contributions to geophysics education and research. With a keen interest in integrating scientific computing into geophysical studies, he is dedicated to preparing students for careers in the geoscience industry. His academic journey reflects a commitment to excellence, supported by his extensive research and innovative teaching practices. Dr. Oyeyemi is actively involved in various professional networks and research collaborations, contributing to advancements in the field of geophysics.

Profile

Orcid

Scholar

Education šŸŽ“

Dr. Oyeyemi holds a PhD in Applied Geophysics from Covenant University (2018), an MSc in Geology (Applied Geophysics) from the University of Ibadan (2013), and a BSc in Applied Geophysics from the University of Calabar (2007). His educational background provides a strong foundation for his teaching and research activities in geophysics. His continuous pursuit of knowledge reflects his commitment to academic growth and the advancement of geophysical sciences.

Experience šŸ’¼

Dr. Oyeyemi has over nine years of teaching experience at Covenant University, where he progressed from Assistant Lecturer in 2013 to Senior Lecturer in 2021. He also served as a UNESCO-CSIR-TWAS Postdoctoral Fellow at the National Geophysical Research Institute in India from December 2022 to December 2023. Throughout his career, he has integrated real-world applications into his teaching, enhancing students’ understanding of geoscience through practical experiences and innovative learning methods.

Awards and Honors šŸ†

Dr. Oyeyemi has received recognition for his academic achievements, particularly for his innovative teaching practices that incorporate scientific computing tools into geophysical education. His dedication to improving the geosciences curriculum at Covenant University has earned him respect within the academic community. Although specific awards are not detailed in the provided information, his progression and roles reflect a commitment to excellence in teaching and research.

Research Focus šŸ”

Dr. Oyeyemi’s research focuses on applied geophysics, emphasizing scientific computing and modeling in geophysical applications. He integrates innovative technologies and methodologies into his studies, exploring geophysical data interpretation and fieldwork. His work aims to bridge the gap between theoretical knowledge and practical application, contributing to advancements in geoscience and enhancing the educational experience for students in the field.

Conclusion šŸ†

Dr. Kehinde D. Oyeyemi is a strong contender for the Best Researcher Award due to his comprehensive educational background, significant teaching experience, and international research exposure. His specialization in biogeophysics positions him at the forefront of innovative research in geophysics. While there are opportunities for improvement in his publication record and interdisciplinary collaboration, his foundational strengths and ongoing contributions to applied geophysics suggest that he is well-equipped to make impactful advancements in his field. With focused efforts to enhance his research visibility and output, Dr. Oyeyemi is poised to excel as a leading researcher in applied geophysics.

Publications Top Notes

  • Groundwater exploration in Aaba residential area of Akure, Nigeria
    • Authors: T.A. Adagunodo, M.K. Akinloye, L.A. Sunmonu, A.P. Aizebeokhai, K.D. Oyeyemi, …
    • Journal: Frontiers in Earth Science
    • Volume: 6
    • Article Number: 66
    • Cited by: 88
    • Year: 2018

 

  • Subsoil characterization using geoelectrical and geotechnical investigations: Implications for foundation studies
    • Authors: K.D. Oyeyemi, A.P. Aizebeokhai, O.M. Olofinnade, A.O. Sanuade, A.A. Olaojo
    • Journal: International Journal of Civil Engineering and Technology
    • Volume: 10 (8)
    • Pages: 302-314
    • Cited by: 63
    • Year: 2017

 

  • The use of the multiple-gradient array for geoelectrical resistivity and induced polarization imaging
    • Authors: A.P. Aizebeokhai, K.D. Oyeyemi
    • Journal: Journal of Applied Geophysics
    • Volume: 111
    • Pages: 364-376
    • Cited by: 54
    • Year: 2014

 

  • Assessment of geogenic natural radionuclide contents of soil samples collected from Ogun State, Southwestern Nigeria
    • Authors: M.R. Usikalu, P.P. Maleka, M. Malik, K.D. Oyeyemi, O.O. Adewoyin
    • Journal: International Journal of Radiation Research
    • Volume: 13 (4)
    • Pages: 355-361
    • Cited by: 53
    • Year: 2015

 

  • Application of geoelectrical resistivity imaging and VLF-EM for subsurface characterization in a sedimentary terrain, Southwestern Nigeria
    • Authors: A.P. Aizebeokhai, K.D. Oyeyemi
    • Journal: Arabian Journal of Geosciences
    • Volume: 8 (6)
    • Pages: 4083-4099
    • Cited by: 51
    • Year: 2014

 

  • Geoelectrical characterization of basement aquifers: the case of Iberekodo, southwestern Nigeria
    • Authors: A.P. Aizebeokhai, K.D. Oyeyemi
    • Journal: Hydrogeology Journal
    • Volume: 26 (2)
    • Cited by: 46
    • Year: 2018

 

  • Integrated geophysical and geochemical investigations of saline water intrusion in a coastal alluvial terrain, southwestern Nigeria
    • Authors: K.D. Oyeyemi, A.P. Aizebeokhai, M.A. Oladunjoye
    • Journal: International Journal of Applied Environmental Sciences
    • Volume: 10 (4)
    • Pages: 1275-1288
    • Cited by: 46
    • Year: 2015

 

  • Measurements of radioactivity levels in part of Ota, Southwestern Nigeria: Implications for radiological hazards indices and excess lifetime cancer risks
    • Authors: K.D. Oyeyemi, M.R. Usikalu, A.P. Aizebeokhai, J.A. Achuka, O. Jonathan
    • Journal: IOP Conference Series: Journal of Physics
    • Volume: 852
    • Cited by: 41
    • Year: 2017