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

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Scholar

šŸŽ“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)

šŸ’¼Experience

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

šŸ†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)

šŸ”¬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. šŸŒ

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 UAVā€™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,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

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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

 

Wang Jinlin| Geoscience | Best Innovation Award

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Prof. Dr. Wang Jinlin| Geoscience | Best Innovation Award

Prof. Dr at Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

Wang Jinlin is a Research Professor at the Institute of Space Applications Engineering and Technology, Chinese Academy of Sciences. With expertise in remote sensing geology, mathematical geology, hyperspectral applications, and GIS technology, his work significantly impacts resource exploration and geological analysis. He has contributed extensively to understanding and mapping mineral resources and developing advanced geospatial technologies.

Profile

Scopus

šŸŽ“ Education

Ph.D. in Cartography and Geographic Information System from Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (2004-2010, supervised by Chen Xi). Bachelor’s in Resource Exploration Engineering from China University of Geosciences, Wuhan (1998-2002, supervised by Zhou Zonggui).

šŸ’¼Ā Experience

Currently, Research Professor at the Institute of Space Applications Engineering and Technology, CAS (since 2023). Previously, Senior Engineer at Xinjiang Institute of Ecology and Geography, CAS (2020-2023), and Assistant Research Professor (2010-2015). Also served as a Visiting Scholar at Saint Louis University in 2011.

šŸ† Awards & Honors

Received Science and Technology Progress awards from Xinjiang Uygur Autonomous Region Peopleā€™s Government for projects on geological big data and tourism tech integration (2017). Holds patents in geological and spatial technology, including topological sorting of stratigraphic sequences (2021), and co-developed an award-winning dynamic platform for aero-magnetic surveys.

šŸ”¬ Research Focus

Specializes in remote sensing geology, hyperspectral imaging for mineral detection, and GIS for resource management. His research advances methods for metal estimation in rocks, hyperspectral data application, and innovative geological modeling and management systems.

Publications Top Notes

  • Pd(II)/Pd(IV) Redox Shuttle for Kesterite Solar Cells
    Authors: Wang, J., Shi, J., Yin, K., … Chen, S., Meng, Q.
    Journal: Nature Communications, 2024, 15(1), 4344
    This open-access article explores a Pd(II)/Pd(IV) redox shuttle method to reduce vacancy defects in kesterite solar cells, enhancing efficiency.

 

  • Multinary Alloying in Kesterite Solar Cells
    Authors: Shi, J., Wang, J., Meng, F., … Li, D., Meng, Q.
    Journal: Nature Energy, 2024, 9(9), 1095ā€“1104
    The study discusses alloying to aid cation exchange and minimize defects in kesterite solar cells, achieving above 14% certified efficiency.

 

  • Lithium Content Estimation in Rock Debris via Spectral Feature Coefficients
    Authors: Jiang, G., Chen, X., Zhou, K., … Zhou, S., Bai, Y.
    Journal: Ore Geology Reviews, 2024, 171, 106167
    This paper focuses on a spectral feature-based method to estimate lithium content in rock samples, relevant for geochemical studies.

 

  • Impact of Band Optimization on Hyperspectral Metal Element Inversion Models
    Authors: Ma, X., Wang, J., Zhou, K., … De Maeyer, P., Van de Voorde, T.
    Journal: International Journal of Applied Earth Observation and Geoinformation, 2024, 132, 104011
    A quantitative evaluation of band optimization techniques to improve accuracy in metal element inversion models using hyperspectral data.

 

  • Inversion of Feldspar Content in Granite Using Hyperspectral Indices
    Authors: Wu, M., Jin, J., Wang, J., Wang, Q.
    Journal: Acta Geologica Sinica, 2024, 98(1), 314ā€“323
    This research employs multi-angular hyperspectral indices to analyze and quantify feldspar content in granite.

 

Anuradha Laishram | Computer vision | Best Researcher Award

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Dr. Anuradha Laishram | Computer vision | Best Researcher Award

Doctorate at National Institute of Technology Manipur, India

Dr. Anuradha Laishram is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Manipur. With a Ph.D. in Computer Science from the same institution, her research has significantly contributed to the fields of medical image processing and deep learning. She holds a Master’s degree from UVCE, Bangalore University, and a Bachelor’s degree from Visvesvaraya Technological University, Belgaum. Dr. Laishram is known for her expertise in machine learning and her active involvement in impactful research projects, including mHealth solutions and AI translation software. Her dedication to teaching and research makes her a prominent figure in the academic community.

profile:

Scopus Profile

šŸŽ“ Education

  • Ph.D. in Computer Science and Engineering
    • University: National Institute of Technology Manipur
    • Year of Award: 2022
    • Thesis Title: Automatic Classification of Kidney Diseases and Oral Types and Anomalies using Ultrasound Images and Orthopantomogram Radiography Images based on Hybrid Neural Networks and Deep Learning
  • Master of Engineering in Computer Science and Engineering
    • University: UVCE, Bangalore University
    • Year of Passing: 2011
    • Percentage: 79.8%
    • Project: Minimizing Delay and Maximizing Lifetime of Wireless Sensor Network
  • Bachelor of Engineering in Computer Science and Engineering
    • University: Visvesvaraya Technological University, Belgaum
    • Year of Passing: 2008
    • Percentage: 64.5%
  • Other Educational Achievement:
    • Qualified GATE Exam 2008 with an All India Rank of 474 and 97.29 percentile.

Professional Experience

Dr. Anuradha Laishram has extensive experience in academia, currently serving as an Assistant Professor at the National Institute of Technology Manipur in the Department of Computer Science and Engineering since 2014. Prior to this, she gained six months of teaching experience as a lecturer at Alpha College of Engineering, Bangalore in 2011. Her teaching repertoire includes both undergraduate and postgraduate courses such as Computer Programming in C, Data Structures and Algorithm, Computer Organization and Architecture, and Data Communication and Computer Networks. She is proficient in programming languages including C, C++, and Python.

šŸ”¬ Research

Dr. Laishram’s research interests lie in the fields of machine learning, deep learning, medical image processing, and wireless sensor networks. Her doctoral research focused on the automatic classification of kidney diseases and oral anomalies using advanced neural network techniques and deep learning models. She has also contributed to various sponsored research projects, including the development of mHealth solutions for remote tribal areas and AI translation software.

Publication:šŸ“

 

Ehsan Pashanejad | spatial analysis | Young Scientist Award

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Ā Mr. Ehsan Pashanejad | spatial analysis | Young Scientist Award

Ā Mr. The University of British Columbia Okanagan, Canada

šŸ‘©ā€šŸ”¬ As part of the NSERCResNet strategic network, I am immersed in modeling the intricate interactions among multiple ecosystem services across the Canadian Prairies for my PhD program. My MSc research delved into various aspects of ecosystem change impacts, vulnerability, community resilience, and the interactions between human and natural systems. I’ve conducted hydrological ecosystem service mapping for local climate change adaptation and mitigation planning in the Comox Valley, Vancouver Island, as part of the UBC sustainability scholar program. Proficient in mapping and modeling ecosystem services, environmental complexities, and geospatial analysis, I’ve contributed to strategic spatial planning and decision-making processes on both small and large scales in Iran and Canada. Moreover, I’ve collaborated with federal government agencies like Parks Canada, where I conducted climate change vulnerability assessments for species at risk in Wood Buffalo National Park.

 

Profile

Orcid

Scholar

Education šŸ“ššŸŽ“

PhD in Earth and Environmental Sciences University of British Columbia, Okanagan (UBCO), CanadaPh.D. Project: Modeling the interactions of Ecosystem Services Supply Using a Spatial System Framework across the Canadian PrairieThesis Supervisor: Prof. Lael Parrott. M.Sc. in Geography and Spatial PlanningTarbiat Modares University, Tehran, Iran Thesis Title: Impact Assessment of Urmia Lake Ecosystem Changes on Spatial Organization in the Eastern Region Thesis Supervisor: Dr. Mojtaba Rafieian. Bachelor of Art (B.A.) in Geography and Urban PlanningUniversity of Tabriz, Tabriz, Iran Graduation Project: Sustainable Urban Development in Azarshahr County Supervisor: Prof. Mohammadreza Pourmohammadi

Awards, Honours, Grants šŸ†šŸ’°

2023: Young Scientist Summer Program Participant at the International Institute for Advanced System Analysis, Laxenburg, Austria2020: Graduate Deans Entrance Scholarship from the University of British Columbia Okanagan Campus, Canada2020: Graduate Research Assistantship funded by the Natural Sciences and Engineering Council of Canada (NSERCResNet)2018: Travel Grant to Potsdam Summer School, Germany2017: Top Book Award in Tenth Harakat National Festival, Tehran, Iran2015-2016: Winner of 5 awards from the Iranian Elite Foundation, Iran

Research Experience šŸ“šŸ”

September 2020 – 2023 (current):Expected completion year: 2024Position: Graduate Research Assistant, University of British Columbia (UBC), Okanagan Campus Responsibilities: Ecosystem Service Supply Modeling and Mapping Sep 2013 – Jan 2016:Position: Climate Change Research Assistant, Parks Canada, Vancouver, Canada Responsibilities: Conducted Climate Change Vulnerability Assessment for species at Risk in Wood Buffalo National Park Worked with Nature Serve Sep 2008 – Jul 2012:Position: Research Assistant at Geography and Planning Lab, Tarbiat Modares University, Tehran, Iran Responsibilities: Conducted Environmental Vulnerability Assessment Studied Rural Community Resilience Engaged in GIS-based MCDM (Multi-Criteria Decision Making)2017-2018:Position: Research Assistantship at Geographical Research Centre, University of Tabriz Responsibilities: Explored Regional Resilience and Environmental Changes Studied Environmental Vulnerability

Teaching Experience šŸ“ššŸ‘Øā€šŸ«

Jan 2021 – Present: Position: Teaching Assistant at The University of British Columbia, Okanagan Campus Courses: GEOG 109 (Earth Systems: Landscape Dynamics)GEOG 108 (Earth Systems: Weather, Climate, and Life)GISC 381 (Fundamentals of Geographic Information Science)

Work Experience šŸ’¼šŸŒ

May 2022 – Aug 2022:Position: Graduate Research Assistant, UBC, Okanagan Campus Responsibilities: Conducted Hydrological Ecosystem Service Mapping in the Comox Valley for local climate change mitigation plan Aug 2017 – Sep 2020:Position: Spatial Planner at Management and Planning Organization of East Azerbaijan Province, Tabriz, Iran Responsibilities: Preparing and Monitoring of Strategic Spatial Plan of East-Azerbaijan Province Apr 2018 – 2020:Position: Spatial Planner and GIS Expert at Apadana Economic Development Planners Engineer Consulting (BETA), Tehran, Iran Responsibilities: Part-time Collaboration with the West-Azerbaijan Province Strategic Spatial Plan Apr 2017 – Nov 2017:Position: Spatial Data Infrastructure (SDI) Project at Dadeh Pardazaneh Makan Mabna (DPMM) Consulting Engineer Responsibilities: Collaboration with The University of Tabriz, Spatial Data Infrastructure (SDI) Project of East-Azerbaijan Management and Planning Organization

Seminars and Conferences Attended šŸŽ“šŸŒ

International Conference on Geographic Environmental Impacts of Urmia Lake Conditions University of Tabriz, Tabriz, Iran, 23-24 Nov 2016The Conference on Political Reordering of Space and Optimal Governance of Tehran City Tarbiat Modares University, Tehran, Iran, Feb 2016The Conference on Decentralization and Reordering of the Capital in Iran Tarbiat Modares University, Tehran, Iran, Feb 2015

Publications Top Notes šŸ“

  • Spatial Assessment of the Relationship between Environmental Vulnerability and Rural Community Resilience in East-Azerbaijan Province
    • Authors: E Pashanejad-Silab, M Rafieian, M Pourtaheri
    • Journal: Journal of Research and Rural Planning
    • Year: 2017

 

  • VULNERABILITY ASSESSMENT OF URMIA LAKE CRISIS IN THE AGRICULTURE SECTOR AND RURAL COMMUNITY RESILIENCE CHALLENGES
    • Authors: E PASHANEJAD SILAB, M RAFIEIAN, S SHAYAN
    • Journal: GEOGRAPHY AND ENVIRONMENTAL HAZARDS
    • Year: 2017

 

  • The application of semantic modelling to map pollination service provisioning at large landscape scales
    • Authors: E Pashanejad, H Thierry, BE Robinson, L Parrott
    • Journal: Ecological Modelling
    • Year: 2023

 

  • Vulnerability Spheres identification of Urmia Lake Ecosystem changes on Eastern Spatial Organization
    • Authors: E Pashanzhad- Silab, M Rafieian, S Shayan
    • Journal: The Journal of Spatial Planning
    • Year: 2016

 

  • A Functional Connectivity Approach for Exploring Interactions of Multiple Ecosystem Services in the Context of Agricultural Landscapes
    • Authors: E Pashanejad, A Kharrazi, ZMF Araujo-Gutierrez, B Robinson, B Fath, …
    • Journal: Available at SSRN
    • Year: Not specified