Yousif Mousa | Remote Sensing | Best Researcher Award

Dr. Yousif Mousa | Remote Sensing | Best Researcher Award

Adjunct Research Fellow, Curtin University and Al-Muthanna University Iraq

Dr. Yousif A. Mousa, a prominent academic in Surveying Engineering, specializes in Photogrammetry and Remote Sensing. He holds a Ph.D. from Curtin University and has a rich academic history, with research contributions focusing on satellite and UAV image processing. With extensive experience in academia, Dr. Mousa has taught at institutions such as Al-Muthanna University and Curtin University. His scientific activities, particularly in the areas of mapping, GIS, and urban planning, have led him to review for international journals and publish influential papers on building detection and DTM extraction.

Profile

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πŸŽ“ Education

Dr. Mousa completed his Ph.D. in Surveying Engineering, specializing in Photogrammetry and Remote Sensing, from Curtin University (2020). He also holds a Master’s degree in Surveying Engineering from Baghdad University (2010) and a Bachelor’s degree from the same institution (2007). His academic journey has been marked by strong analytical and technical foundations in geospatial sciences, laying the groundwork for his contributions in spatial analysis and remote sensing.

πŸ’Ό ExperienceΒ 

Dr. Mousa has been a Lecturer at Al-Muthanna University since 2010, teaching subjects related to surveying and photogrammetry. He has also served as a casual academic at Curtin University (2016-2020), tutoring in Photogrammetry, Applied Cartography, and Advanced Photogrammetry. Additionally, he worked as an Adjunct Research Fellow at Curtin University (2020-2024). His academic contributions extend to urban planning and GIS work for Muthanna Governorate and research on Sawa Lake’s water level decline for environmental protection.

πŸ† Awards and HonorsΒ 

Dr. Mousa’s career has been distinguished by numerous accolades, including recognition for his groundbreaking research in remote sensing. His work has been published in leading journals like the Canadian Journal of Remote Sensing and Remote Sensing of Environment. His commitment to research excellence is reflected in his role as a reviewer for top journals in his field. His ongoing contributions have made a significant impact in the realms of photogrammetry, remote sensing, and GIS.

πŸ”¬ Research Focus

Dr. Mousa’s research focuses on remote sensing, photogrammetry, and GIS applications, particularly in building detection, DTM extraction, and environmental monitoring using UAV and satellite data. He has pioneered new approaches to spatial analysis, particularly in urban mapping and environmental monitoring, such as investigating Sawa Lake’s physical parameters and drought impacts. His ongoing work involves developing efficient algorithms for processing spatial data, advancing technologies for mapping and urban planning.

ConclusionΒ 

Dr. Yousif A. Mousa is undoubtedly a leading figure in the field of Surveying Engineering, with particular strengths in Photogrammetry and Remote Sensing. His solid academic foundation, combined with significant contributions to environmental and geospatial research, make him a strong candidate for the Best Researcher Award. While there are opportunities to broaden his interdisciplinary collaborations and practical applications, his work has already proven to be valuable, impactful, and cutting-edge in the realm of remote sensing and geospatial technologies. His continued contributions promise to further the advancement of these fields and tackle pressing environmental issues.

Publication

  1. Title: Comparison Study of Three Building Regularization Algorithms
    Authors: Bulatov, D., Mousa, Y.A., Helmholz, P.
    Conference: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    Year: 2024
    Volume: 10(4), pp. 59–66
    Citations: 0

 

  1. Title: Building Detection and Outlining in Multi-Modal Remote Sensor Data: A Stratified Approach
    Authors: BΓΆge, M., Mousa, Y.A., Bulatov, D., Qiu, K.
    Journal: Canadian Journal of Remote Sensing
    Year: 2024
    Volume: 50(1), 2430490
    Citations: 0

 

  1. Title: Spatio-Temporal Analysis of Sawa Lake’s Physical Parameters between (1985–2020) and Drought Investigations Using Landsat Imageries
    Authors: Mousa, Y.A., Hasan, A.F., Helmholz, P.
    Journal: Remote Sensing
    Year: 2022
    Volume: 14(8), 1831
    Citations: 4

 

  1. Title: DTM Extraction and Building Detection in DSMs Having Large Holes
    Authors: Mousa, Y.A., Bulatov, D., Abed, F.M., Helmholz, P.
    Conference: Proceedings of SPIE – The International Society for Optical Engineering
    Year: 2021
    Volume: 11864, 118640H
    Citations: 3

 

  1. Title: Geo-locating Historical Survey Data and Images – A Case Study for the Canning River, Perth, Western Australia
    Authors: Helmholz, P., Mousa, Y., Snow, T., Tonkin, J., Lamont, W.
    Conference: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives
    Year: 2020
    Volume: 43(B4), pp. 575–582
    Citations: 1

 

  1. Title: Building Detection and Regularisation Using DSM and Imagery Information
    Authors: Mousa, Y.A., Helmholz, P., Belton, D., Bulatov, D.
    Journal: Photogrammetric Record
    Year: 2019
    Volume: 34(165), pp. 85–107
    Citations: 28

 

  1. Title: New DTM Extraction Approach from Airborne Images Derived DSM
    Authors: Mousa, Y.A.-K., Helmholz, P., Belton, D.
    Conference: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives
    Year: 2017
    Volume: 42(1W1), pp. 75–82
    Citations: 23

Muhammad Amjad Iqbal | Remote Sensing |Young Scientist Award

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

πŸŽ“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)

πŸ’ΌExperience

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)

πŸ†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)

πŸ”¬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

 

Jinlin Wang | Earth and Planetary Sciences | Best Researcher Award

Prof. Dr. Jinlin Wang | Earth and Planetary Sciences | Best Researcher Award

Β Prof. Dr at University of Chinese Academy of Sciences, China.

Wang Jinlin is a Research Professor at the Institute of Space Applications Engineering and Technology, Chinese Academy of Sciences. He specializes in remote sensing geology, mathematical geology, hyperspectral applications in geology and mineral resources, and GIS technology. With a robust academic background and significant contributions to geosciences, he aims to enhance geological exploration and resource management through advanced technological methods. His extensive research has resulted in various publications and patents, positioning him as a leading expert in his field.

Profile

Scopus

Education πŸŽ“

Wang Jinlin obtained his Ph.D. in Cartography and Geographic Information Systems from the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (2010). He also holds a Bachelor’s degree in Resource Exploration Engineering from China University of Geosciences (Wuhan) (2002). His educational journey has been shaped by esteemed supervisors, including Chen Xi and Zhou Zonggui, contributing to his expertise in spatial applications and geological studies.

Experience πŸ’Ό

Wang Jinlin has held several significant positions at the Chinese Academy of Sciences. Currently, he is a Research Professor at the Institute of Space Applications Engineering and Technology (2023-present). Previously, he worked as a Senior Engineer at the Xinjiang Institute of Ecology and Geography (2020-2023) and as an Assistant Research Professor (2010-2015). His experience includes a prestigious visiting scholar position at Saint Louis University, USA (2011). He has contributed to numerous projects in mineral resources and remote sensing, significantly impacting geological research.

Awards and Honors πŸ†

Wang Jinlin has received several prestigious awards, including the First Prize for Science and Technology Progress at the provincial/ministerial level for his work on geological big data and metallogenic prediction methods (2017). He has also been recognized for the integration of big data and information service technology for Xinjiang tourism (2017). His contributions to innovative geological methodologies have led to several patents, reflecting his commitment to advancing geological sciences through research and development.

Research Focus πŸ”¬

Wang Jinlin’s research focus includes remote sensing geology, mathematical geology, and hyperspectral applications in geology and mineral resources. He investigates the integration of GIS technology in geological studies and resource management. His work emphasizes data-driven approaches to mineral exploration, utilizing hyperspectral imaging to enhance geological assessments. Through innovative methodologies, he aims to improve the understanding and management of mineral resources, contributing significantly to the field of geosciences.

Conclusion πŸ“

Wang Jinlin is a highly qualified candidate for the Best Researcher Award, with significant achievements in research, innovation, and recognition. His extensive publication record, innovative contributions through patents, and awards reflect his dedication and impact in the field of geology and remote sensing. By addressing areas for improvement, such as fostering interdisciplinary collaborations and enhancing public engagement, he can further elevate his research profile and contributions to the academic community. Recognizing him with this award would not only acknowledge his past achievements but also inspire continued excellence in his future endeavors.

Publications Top Notes

  • Pd(II)/Pd(IV) redox shuttle to suppress vacancy defects at grain boundaries for efficient kesterite solar cells
    • Authors: Wang, J., Shi, J., Yin, K., Chen, S., Meng, Q.
    • Journal: Nature Communications
    • Year: 2024
    • Volume: 15
    • Issue: 1
    • Page: 4344
    • Citations: 2

 

  • Multinary alloying for facilitated cation exchange and suppressed defect formation in kesterite solar cells with above 14% certified efficiency
    • Authors: Shi, J., Wang, J., Meng, F., Li, D., Meng, Q.
    • Journal: Nature Energy
    • Year: 2024
    • Volume: 9
    • Issue: 9
    • Pages: 1095–1104
    • Citations: 12

 

  • Estimation of lithium content in rock debris based on spectral feature coefficients
    • Authors: Jiang, G., Chen, X., Zhou, K., Zhou, S., Bai, Y.
    • Journal: Ore Geology Reviews
    • Year: 2024
    • Volume: 171
    • Article Number: 106167
    • Citations: 0

 

  • Quantitative evaluation of the impact of band optimization methods on the accuracy of the 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
    • Year: 2024
    • Volume: 132
    • Article Number: 104011
    • Citations: 0

 

  • New data-driven estimation of metal element in rocks using hyperspectral data and geochemical data
    • Authors: Ma, X., Wang, J., Zhou, K., De Maeyer, P., Van de Voorde, T.
    • Journal: Ore Geology Reviews
    • Year: 2024
    • Volume: 165
    • Article Number: 105877
    • Citations: 0

 

  • Inversion of feldspar content in granite based on hyperspectral indices developed from multi-angular bidirectional reflectance
    • Authors: Wu, M., Jin, J., Wang, J., Wang, Q.
    • Journal: Acta Geologica Sinica
    • Year: 2024
    • Volume: 98
    • Issue: 1
    • Pages: 314–323
    • Citations: 0

 

  • MSTGI: a multi-scale spatio-temporal grid index model for remote-sensing big data retrieval
    • Authors: Liu, H., Yan, J., Wang, J., He, L., Yu, X.
    • Journal: Remote Sensing Letters
    • Year: 2024
    • Volume: 15
    • Issue: 1
    • Pages: 44–54
    • Citations: 1

 

  • Mapping Lithium-Bearing Pegmatite with Short-Wave Infrared (SWIR) Hyperspectral Imaging of Jingerquan Li-Be-Nb-Ta Pegmatite Deposit, Eastern Tianshan, NW China
    • Authors: Bai, Y., Wang, J., Zhou, K., Ma, X., Fan, X.
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2024
    • Volume: 62
    • Pages: 1–15
    • Article Number: 4500615
    • Citations: 2

 

  • Crustal structure of the Tian Shan Orogen and its adjacent areas inferred from EIGEN-6C4 gravity field data
    • Authors: An, S., Wang, J., Xiao, W., Jia, X., Zhang, Z.
    • Journal: Tectonophysics
    • Year: 2023
    • Volume: 869
    • Article Number: 230131
    • Citations: 0

 

  • Controlling Selenization Equilibrium Enables High-Quality Kesterite Absorbers for Efficient Solar Cells
    • Authors: Xu, X., Zhou, J., Yin, K., Luo, Y., Meng, Q.
    • Journal: Nature Communications
    • Year: 2023
    • Volume: 14
    • Issue: 1
    • Article Number: 6650
    • Citations: 16

 

Kehinde Oyeyemi | Geophysics | Best Researcher Award

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

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Scholar

Education πŸŽ“

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 πŸ’Ό

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 πŸ†

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 πŸ”

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 πŸ†

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

 

Imran Ahmad | Hydrology GIS | Best Researcher Award

Prof. Imran Ahmad | Hydrology GIS | Best Researcher Award

Β ProfΒ  at Woldia University,Β  Ethiopia

Dr. Imran Ahmad is an Associate Professor at the Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Ethiopia. He holds a Ph.D. in Environmental Science (Hydrology) and has 9 years of teaching and research experience. His areas of expertise include remote sensing, GIS, water resources management, and environmental monitoring. Dr. Ahmad has published 49 SCI/Scopus-indexed journal articles, with over 850 citations and an h-index of 12. He is actively involved in international conferences, guest editing journals, and contributing to projects focused on hydrological and environmental challenges in Ethiopia.

Profile

Scopus

πŸŽ“ Education

PhD in Environmental Science (Hydrology): Tamil University, India (2009-2013). Master’s in Environmental Science: Specialized in hydrology and water resource management. Bachelor’s Degree: In foundational Environmental Science and water resource studies.Training Certifications: Specialized training in GIS, Water CAD, Global Mapper, AutoCAD, and Civil 3D, enhancing his applied knowledge in environmental monitoring and resource management. Research Methods: Expertise in statistical analysis using SPSS and Idrisi Selva software.

πŸ’Ό Experience

Associate Professor: Debre Tabor University, Ethiopia, with 9 years of teaching experience in hydraulic and water resource engineering. Researcher: Published 49 articles in SCI/Scopus-indexed journals, with research focused on remote sensing, hydrology, and environmental management. Courses Taught: Water resources management, remote sensing & GIS, soil and water conservation, groundwater engineering, urban drainage, environmental impact assessment, and more. Consultant & Trainer: Conducted training on GIS applications, water management, manuscript writing, and Scopus journal identification.

πŸ† Awards & Honors

Invited Speaker: Delivered invited talks on remote sensing and GIS applications at prestigious workshops and conferences. Editorial Roles: Guest editor for special issues on Remote Sensing and Hydrological Studies. International Reviewer: Reviewed papers for high-impact journals such as Environmental Monitoring & Assessment and Journal of Hydrology. Conference Reviewer: Active reviewer for international conferences, including DICTAP11 in France. Committee Member: IAMSET (International Association of Management Science and Engineering Technology).

πŸ” Research Focus

Remote Sensing & GIS: Focused on applying these technologies to water resource management and environmental monitoring. Hydrology: Investigating hydrological droughts, groundwater chemistry, and sustainable water management solutions. Water Resource Management: Specializing in watershed management, urban drainage systems, and water conservation strategies. Environmental Monitoring: Assessing the environmental impact and sustainability of water supply systems in arid regions. Β Climate Change: Research on hydrological droughts and climate change impact in Ethiopian river basins.

Conclusion

Dr. Imran Ahmad’s impressive academic and research profile, combined with his dedication to teaching and community engagement, makes him a strong candidate for the Best Researcher Award. His contributions to the fields of hydraulic and water resources engineering demonstrate a profound commitment to environmental sustainability and innovation. By addressing areas for improvement, such as funding acquisition and interdisciplinary collaboration, he can further amplify his impact and recognition within the research community.

Publications Top Notes

  1. Identification of hotspots and cold-spots of groundwater potential using spatial statistics
    Authors: Liu, T., Ahmad, I., Dar, M.A., Kifle, T., Angualie, G.S.
    Journal: Journal of Hydrology: Regional Studies
    Year: 2024

 

  1. Effect of watershed characteristics on river flow for the case of two watersheds, Megech and Gumaro, Upper Blue Nile Basin, Ethiopia
    Authors: Kassahun, F.A., Kifelew, M.S., Ahmad, I., Abate, F.S., Mesalie, R.A.
    Journal: Applied Water Science
    Year: 2024

 

  1. Exploratory regression modeling for flood susceptibility mapping in the GIS environment
    Authors: Fenglin, W., Ahmad, I., Zelenakova, M., Berhan, M., Shafi, S.N.
    Journal: Scientific Reports
    Year: 2023

 

  1. Configuring the groundwater potential zone spatially using optimized hotspot analysis
    Authors: Ahmad, I., Zelenakova, M., Fenta, A., Damtie, M., Nurye, M.
    Journal: Environmental Earth Sciences
    Year: 2023

 

  1. Identification of potential dam sites using OLS regression and fuzzy logic approach
    Authors: Fu, Z., Ahmad, I., Fenta, A., Tenagashaw, D.Y., Shumey, E.E.
    Journal: Environmental Sciences Europe
    Year: 2022

 

  1. Sources of aerosol optical depth and its distribution in Abbay basin, Ethiopia
    Authors: Ahmad, I., Fenta, A., Dar, M.A., Berhan, M., Mekuriaw, T.
    Journal: Applied Geomatics
    Year: 2022

 

  1. Influence of determinant factors towards soil erosion using ordinary least squared regression in GIS domain
    Authors: Ahmad, I., Shaaikh, J.A., Fenta, A., Andualem, T.G., Teshome, A.
    Journal: Applied Geomatics
    Year: 2022

 

Yaolin Zhu | Spectroscopy | Best Researcher Award

Prof. Yaolin Zhu | Spectroscopy | Best Researcher Award

Prof at Xi’an Polytechnic University,Β  China

Yaolin Zhu, is a distinguished male professor at Xi’an Polytechnic University, China. He serves as a Master’s Supervisor and is a member of the China Textile Engineering Society and the Shaanxi Provincial Automation Society. With a commitment to academic excellence, Professor Zhu has significantly contributed to the fields of communication and information systems, fostering innovation in technology.

 

Publication profile

πŸŽ“ Education

Professor Zhu earned his Doctoral Degree in Communication and Information Systems from Shanghai University. He further enhanced his expertise through postdoctoral research in Electronic Science and Technology at Xi’an University of Technology and Northwestern Polytechnical University. Additionally, he has engaged in visiting research at the University of Reutlingen in Germany, broadening his academic horizons and international collaboration.

πŸ’Ό Experience

With extensive experience in academia, Professor Zhu has held various academic positions at Xi’an Polytechnic University. His research background is supported by postdoctoral roles and visiting research opportunities, emphasizing his dedication to advancing knowledge in communication systems and electronic technology. His mentorship has nurtured numerous students in their academic journeys.

πŸ† Awards and Honors

Professor Zhu has received several prestigious awards, including the Third Prize for Shaanxi Provincial Science and Technology Advancement, a Second Prize for Shaanxi Provincial Higher Education Science and Technology Advancement, and a Third Prize for Xi’an Municipal Science and Technology Progress. He has also obtained nearly 10 authorized patents, reflecting his innovative contributions to technology.

πŸ”¬ Research Focus

Professor Zhu’s research focus centers on communication and information systems, with an emphasis on electronic science and technology. His work contributes to advancements in automation and textile engineering, driving innovation in the industry. Through his research, he aims to address contemporary challenges and enhance technological applications in various fields.

 

Publication

1. Identification of apple leaf diseases based on MA-ConvNext network and stepwise relational knowledge distillation
  • Authors: Liu, H., Li, Y., Zhang, L., Zhu, Y., Hou, L.
  • Year: 2024
  • Journal: Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 58(9)
2. A lightweight multiscale smoke segmentation algorithm based on improved DeepLabV3+
  • Authors: Chen, X., Hou, Q., Fu, Y., Zhu, Y.
  • Year: 2024
  • Journal: IET Image Processing, 18(10), pp. 2665–2678
3. Near-infrared spectroscopy identification method of cashmere and wool fibers based on an optimized wavelength selection algorithm
  • Authors: Zhu, Y., Chen, L., Chen, X., Chen, J., Zhang, H.
  • Year: 2024
  • Journal: Heliyon, 10(14), e34537
4. Non-destructive identification of wool and cashmere fibers based on improved LDA using NIR spectroscopy
  • Authors: Chen, X., Lan, Q., Zhu, Y.
  • Year: 2024
  • Journal: Autex Research Journal, 24(1), 20230017
5. Application of Unsupervised Feature Selection in Cashmere and Wool Fiber Recognition
  • Authors: Zhu, Y., Wang, X., Gu, M., Hu, G., Li, W.
  • Year: 2024
  • Journal: Journal of Natural Fibers, 21(1), 2311306
6. Accurate identification of cashmere and wool fibers based on enhanced ShuffleNetV2 and transfer learning
  • Authors: Zhu, Y., Liu, R., Hu, G., Chen, X., Li, W.
  • Year: 2023
  • Journal: Journal of Big Data, 10(1), 152
7. ANIMAL FIBER RECOGNITION BASED ON FEATURE FUSION OF THE MAXIMUM INTER-CLASS VARIANCE
  • Authors: Zhu, Y., Zhao, L., Chen, X., Li, Y., Wang, J.
  • Year: 2023
  • Journal: Autex Research Journal, 23(4), pp. 560–566
8. RepVGG-YOLOv7: A Modified YOLOv7 for Fire Smoke Detection
  • Authors: Chen, X., Xue, Y., Hou, Q., Fu, Y., Zhu, Y.
  • Year: 2023
  • Journal: Fire, 6(10), 383
9. A novel smoke detection algorithm based on improved mixed Gaussian and YOLOv5 for textile workshop environments
  • Authors: Chen, X., Xue, Y., Zhu, Y., Ma, R.
  • Year: 2023
  • Journal: IET Image Processing, 17(7), pp. 1991–2004
10. An Improved GOMP Sparse Channel Estimation for Vehicle-to-Vehicle Communications
  • Authors: Chen, X., Zhang, X., Zhu, Y., Ma, R.
  • Year: 2023
  • Journal: International Journal of Antennas and Propagation, 2023, 5281547

 

Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

Mr. Sathya Prakash Racharla | Wireless sensor networks | Excellence in Research

B.Tech in Information Technology (2004), UGC-NET qualified in Computer Science and Applications (2020). M.Tech in Computer Science and Engineering (2011), with nearly 11 years of teaching experience in Programming, Data Structures, and other core subjects for B.Tech. classes at various institutes.

Publication profile

Scopus

Scholar

🎯 Objective

To associate with a dynamic institute that provides a platform to update my knowledge and skills in teaching and research, anticipating and leading changes.

πŸ† Achievements

TS-SET 2022: Qualified, Osmania University (March 2023) UGC-NET (June 2020): Qualified in Computer Science and Applications. NPTEL Discipline Star (Dec 2019): Computer Science and Engineering. FET 2010: Qualified, Jawaharlal Nehru Technological University Hyderabad

πŸŽ“ Academic Qualifications

NET: UGC-NET (June 2020) in Computer Science and Applications. M.Tech: Computer Science and Engineering (2011), First Class with Distinction, SSEC Bandlaguda, Hyderabad. B.Tech: Information Technology (2004-08), First Class with Distinction, JITS, Karimnagar, Telangana. 12th Class: Sri Triveni Junior College, First Class, Godavarikhani, Dist: Karimnagar, Telangana. 10th Class: Sri Vishwa Shanthi High School, First Class, NTPC, Dist: Karimnagar, Telangana

🏫 Teaching Experience

Asst. Prof. in Artificial Intelligence: Anurag University, Ghatkesar, Hyderabad (02-08-2023 to 30-04-2024) Asst. Prof. in Computer Science and Engineering: MVSR Engineering College, Hyderabad (07-09-2022 to 31-07-2023). Sr. Asst. Prof. in Computer Science and Engineering: CVR College of Engineering, Hyderabad (02-06-2014 to 30-08-2022). Asst. Prof. in Computer Science and Engineering: Sree Chaitanya Institute of Technological Sciences, Karimnagar (13-12-2011 to 21-05-2014). Asst. Prof. in Computer Science and Engineering: Nigama Engineering College, Karimnagar (13-12-2011 to 21-05-2014)

πŸ”¬ Research Experience

  • Completed Pre-Ph.D. at SRM Institute of Science and Technology, Kattankulathur, Chennai

Research Excellence Evaluation: Sathya Prakash Racharla

Strengths for the Award:

Academic and Professional Credentials: Educational Background: Sathya Prakash Racharla holds a B.Tech in Information Technology, an M.Tech in Computer Science and Engineering, and has qualified UGC-NET in Computer Science and Applications. Teaching Experience: With over 11 years of experience, he has taught core subjects in various prestigious institutes and has held roles ranging from Assistant Professor to Senior Assistant Professor. Research Contributions: He has published numerous papers in reputed journals and conferences, demonstrating a significant contribution to his field, particularly in wireless sensor networks, machine learning, and data science. Achievements and Certifications: Certifications: Completion of various MOOCs through NPTEL and FDPs through AICTE indicates a commitment to continuous learning and staying updated with the latest advancements. Awards: Recognized for excellence through NPTEL and TS-SET certifications, which highlight his proficiency and dedication to the field of Computer Science. Research Experience: Publications: A strong record of publications in international journals and conferences demonstrates a high level of research activity and impact in areas like wireless sensor networks, machine learning, and data science. Pre-Ph.D. Completion: The completion of Pre-Ph.D. from a reputable institute further indicates his readiness for advanced research and contributes to his research profile.

Areas for Improvement:

Research Grants and Projects: Grants: There is limited information on substantial research grants or major projects led by the candidate. Securing and leading significant research grants can enhance his research profile and funding capabilities. Research Impact: Expanding on the practical impact and applications of his research work could strengthen his overall profile and demonstrate a broader impact in his field. Advanced Research Contributions: Innovation and Patents: While he has a strong publication record, involvement in innovative research leading to patents or groundbreaking technologies could further enhance his profile. Collaborations and Multidisciplinary Research: Engaging in interdisciplinary research and collaborations could provide a more comprehensive approach to complex problems and increase visibility in diverse research communities.

 

Publication top notes

  1. Title: A review on localization problems in wireless sensor network: Algorithmic and performance analysis
    Authors: SP Racharla, J Kalaivani
    Year: 2021

 

  1. Title: An Iterative approach for the Restoration of Motion Blurred Images
    Authors: MSP Racharla, MKS Babu, AK Jakkani
    Year: Not provided

 

  1. Title: Hybridised swarm intelligence approach for multi-objective-based node localisation in wireless sensor network: hybrid glow-worm and cat swarm algorithm
    Authors: SP Racharla, K Jeyaraj
    Year: 2024

 

  1. Title: Review on RBFNN design approaches: A case study on diabetes data
    Authors: R Cheruku, D Tripathi, Y Narasimha Reddy, S Prakash Racharla
    Year: 2018

 

  1. Title: Reducing Overfitting Problem in Machine Learning using L1/4 Activation Function
    Authors: SP Racharla, M Umar, VDS Krishna
    Year: 2020

Conclusion:

Sathya Prakash Racharla is a well-qualified and experienced academic with a solid background in computer science and engineering. His achievements, teaching experience, and research contributions position him as a strong candidate for recognition in research excellence. To further strengthen his profile, focusing on securing significant research grants, engaging in innovative projects, and expanding his impact through interdisciplinary research would be beneficial. His commitment to continuous learning and contributions to his field are commendable and align well with the criteria for excellence in research.

 

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

🏒 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.

πŸŽ“ 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.

 

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

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.

Anuradha Laishram | Computer vision | Best Researcher Award

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

πŸŽ“ 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.

πŸ”¬ 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:πŸ“

 

Ehsan Pashanejad | spatial analysis | Young Scientist Award

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

Β Mr. The University of British Columbia Okanagan, Canada

πŸ‘©β€πŸ”¬ 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 πŸ“šπŸŽ“

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 πŸ†πŸ’°

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 πŸ“πŸ”

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 πŸ“šπŸ‘¨β€πŸ«

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 πŸ’ΌπŸŒ

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 πŸŽ“πŸŒ

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 πŸ“

  • 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