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

 

Lateef Adamolekun | Mining Engineering| Best Researcher Award

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Mr. Lateef Adamolekun |Mining Engineering| Best Researcher Award

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

🎓 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).

💼 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.

🏆 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.

🔬 Research Focus

Adamolekun Lateef Bankole’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 📚