Muhammad Amjad Iqbal | Remote Sensing |Young Scientist Award

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Dr. Muhammad Amjad Iqbal | Remote Sensing |Young Scientist Award

Postdoctoral Researcher at CEOSpaceTech Research Center for Spatial Information, Romania

Dr. Muhammad Amjad Iqbal is a skilled researcher in remote sensing and signal processing, with a focus on oceanography, SAR imaging, and target detection. He holds a PhD from the National University of Science and Technology (NUST), Romania. With research experience across multiple countries, including Romania, Germany, Spain, and China, he specializes in compressive sensing and high-resolution radar imaging. Dr. Iqbal has contributed to various scientific publications and has worked on geocoded sea ice coverage, ship detection, and coastline engineering. His expertise spans across SAR, ISAR, and mm-wave imaging, alongside his development of novel radar algorithms.

Publication Profile

Orcid

Scholar

🎓Education

PhD: Electronics Telecommunication Technology, NUST POLITEHNICA of Bucharest (2023) . MS: Communication and Information Systems Engineering, Nanjing University of Science and Technology (2020) . BSc: Electrical Engineering (Telecommunication), Government College University Faisalabad (2015)

💼Experience

Research Assistant: University of Naples, Italy (Dec 2023 – Nov 2024). Research Assistant: CEOSpaceTech Lab, NUST POLITEHNICA, Romania (Jan 2021 – Dec 2023). Software Test Engineer: CIENET Technologies, China (July 2019 – Dec 2019). Lab Engineer: Bahauddin Zakariya University, Pakistan (Feb 2017 – Sep 2017)

🏆Awards and Honors

Early Career Research Award: SERB (2017). Research Excellence Award: GEU, India (2015). DST Travel Grant: USA (2012). Best Paper Presentation Award: TriboIndia 2023 . Member: IAAM (5 years)

🔬Research Focus

Dr. Iqbal’s research focuses on advanced radar imaging, particularly synthetic aperture radar (SAR), inverse SAR, and compressive sensing. He specializes in high-resolution imaging techniques for target detection, ice-cover delineation, and ocean surface current estimation. His work involves using SAR and ISAR data for applications in environmental monitoring, including sea ice and coastline engineering. Dr. Iqbal aims to improve radar imaging algorithms for accurate environmental analysis and monitoring. 🌍

Conclusion

Dr. Muhammad Amjad Iqbal is a highly skilled researcher whose contributions to the field of remote sensing, particularly in ocean and ice-cover monitoring, have proven impactful. His innovative research in radar imaging, target detection, and signal processing, coupled with international experience and multiple high-quality publications, makes him an excellent candidate for the Young Scientist Award. With continued growth in public engagement and interdisciplinary collaborations, he is poised to make even greater contributions to the scientific community.

Publications

  1. Title: Coastline extraction from SAR data using Doppler centroid images
    Year: 2022
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 14

 

  1. Title: Doppler centroid estimation for ocean surface current retrieval from Sentinel-1 SAR data
    Year: 2022
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 8

 

  1. Title: On the de-ramping of SLC-IW Tops SAR data and ocean circulation parameters estimation
    Year: 2022
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 7

 

  1. Title: Towards Complex-Valued Deep Architectures with Data Model Preservation for Sea Surface Current Estimation from SAR Data
    Year: 2023
    Authors: MA Iqbal, R Mohammadi Asiyabi, O Ghozatlou, A Anghel, M Datcu
    Citations: 4

 

  1. Title: Exploiting Inverse SAR Images and Dual-Pol Decomposition for the Estimation of Tree Scattering Properties
    Year: 2023
    Authors: MA Iqbal, A Anghel, M Datcu, A Bathelt, S Sieger
    Citations: 4

 

  1. Title: Assessment of mm-Wave High Resolution Inverse SAR Imaging both with Compact and Sparse Data
    Year: 2023
    Authors: MA Iqbal, A Anghel, M Datcu, I Ederra, JC Iriarte
    Citations: 3

 

  1. Title: 3-D localization of UAV and detection based on harmonics index and spectral entropy criteria
    Year: 2020
    Authors: MA Iqbal, Z Zhao, X ZhiYong, SU Rehman
    Citations: 2

 

  1. Title: Coarse-to-fine estimation: Compressive sensing for high-resolution inverse SAR imaging
    Year: 2024
    Authors: MA Iqbal, MH Conde, A Anghel, M Datcu
    Citations: 1

 

  1. Title: Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data
    Year: 2023
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 1

 

  1. Title: Feature extraction and classification of UAV’s acoustic signal using 4-microphones array in a real noisy environment
    Year: 2019
    Authors: MA Iqbal, SU Rehman
    Citations: 1

 

Michael | Geological Remote Sensing | Best Researcher Award

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Mr. Michael | Geological Remote Sensing | Best Researcher Award

University of Electronic Science and Technology of China,  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

🎓 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.

🧑‍🏫 Experience

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

🏆 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.

🔬 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.

Conclusion 

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.

📚Publications 

  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 Ömer Halisdemir Üniversitesi Mühendislik 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

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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

🏢 Work Experience

Researcher and Lecturer, Arba Minch University, Ethiopia 07/08/2003 – 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.

🎓 Education and Training

Ph.D. in Irrigation and Drainage Engineering, Arba Minch University, Ethiopia 2019 – Present. MSc in Climate Change & Development, Arba Minch University, Ethiopia 2013 – 2015. BSc in Civil Engineering, Arba Minch University, Ethiopia 2011 – 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 – 2000 Junior Level, Arba Minch Junior School 1996 – 1997 Elementary Level, Arba Minch Elementary School 1994 – 1995

🌟 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.

 

🏆 Assessment for the Research for Best Researcher Award 🏆

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: Alemachew’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 Alemachew’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.