Yeasmin Nahar Jolly | Environmental Science | Best Researcher Award

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Dr. Yeasmin Nahar Jolly | Environmental Science | Best Researcher Award

Atomic Energy Centre, Dhaka, Bangladesh Atomic Energy Commission | Bangladesh

Dr. Yeasmin Nahar Jolly is a distinguished Bangladeshi chemist and environmental scientist currently serving as the Chief Scientific Officer at the Bangladesh Atomic Energy Commission. She has built a remarkable career in nuclear analytical chemistry, specializing in environmental monitoring with a focus on heavy metal pollution and hazardous chemical constituents affecting ecosystems and human health. Educated at the University of Dhaka, where she earned her B.Sc., M.Sc., and Ph.D. in Chemistry with top honors, Dr. Jolly has dedicated her career to advancing analytical research and sustainable environmental practices. Her professional experience spans decades of leadership in the Atmospheric and Environmental Chemistry Laboratory, where she applies advanced nuclear analytical techniques such as EDXRF and TXRF to analyze contaminants in soil, water, food, and biological samples. She has led national projects, including environmental impact assessments for major infrastructures such as the Rooppur Nuclear Power Plant, and has served as a national counterpart for IAEA/RCA initiatives on wetland management. Her research interests include environmental pollution, nuclear chemistry applications, and sustainable resource management. With exceptional research skills, she has authored over a hundred international publications and received numerous professional recognitions for her scientific contributions. Dr. Jolly’s career exemplifies dedication to environmental stewardship and scientific excellence.

Profile: Googlescholar

Featured Publications

Yuchun Guan | Mineral Exploration | Best Researcher Award

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Mr. Yuchun Guan | Mineral Exploration | Best Researcher Award

Zijin mining group southwest geological exploration co., ltd | China

Mr. Guan Yuchun is an accomplished Chinese geologist with a master’s degree in Mineralogy, Petrology and Ore Deposit Geology from the China University of Geosciences in Beijing, where he also completed his undergraduate studies in Geology. His academic journey was distinguished by multiple national scholarships and active leadership roles, reflecting both academic excellence and commitment to teamwork. Professionally, he has served as a geological engineer at the Beijing Institute of Mineral Resources and currently works as a senior geological engineer at Zijin Mining Group’s Southwest Geological Exploration Company, where he leads major projects in mineral resource exploration, including lithium and polymetallic deposits. His research interests encompass granite petrogenesis, polymetallic metallogenesis, geochemical exploration, and regional mineral prediction, with numerous publications in prestigious journals such as Geological Journal and Acta Geologica Sinica. Skilled in geological software and data analysis tools including Surpac, Leapfrog, ArcGIS, and CAD, he brings both technical and analytical expertise to his fieldwork and research. Mr. Guan has received several honours, including the China Nonferrous Metals Industry Science and Technology Award and recognition as an Excellent Employee and Innovation Team Member. Dedicated, innovative, and meticulous, he continues to contribute significantly to geological research and sustainable mineral exploration.

Profile: Scopus

Featured Publications

Changhao Li | Earth Science | Best Researcher Award

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Dr. Changhao Li | Earth Science | Best Researcher Award

Beijing Institute of Geology for Mineral Resources Co., Ltd. | China

Changhao Li is a senior engineer at the Beijing Institute of Geology for Mineral Resources, with a strong academic and research background in the fields of mineralization mechanisms and magmatic-hydrothermal ore deposits. He completed his engineering studies at the North China University of Science and Technology and obtained a doctoral degree in science from the University of Chinese Academy of Sciences, followed by postdoctoral research at the Institute of Geology and Geophysics, Chinese Academy of Sciences. His professional journey reflects extensive experience in geological research, contributing both as a principal investigator and as a collaborator in several national and international projects, including major scientific initiatives in mineral resource exploration. His research interests focus on porphyry copper polymetallic and pegmatite rare metal deposits, with notable contributions to understanding crustal processes, fluid evolution, and mineral precipitation mechanisms. Skilled in scientific writing, data analysis, and geological modeling, he has authored more than thirty peer-reviewed articles, many as first author, and contributed to a published monograph. His achievements include advancing knowledge of porphyry systems through detailed geochemical and mineralogical studies, earning recognition through impactful publications and growing citations. In conclusion, Changhao Li exemplifies a dedicated researcher and professional, advancing mineral resource science through both academic excellence and applied geological expertise.

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Featured Publications

Shuo Yang | Environmental Science | Best Researcher Award

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Dr. Shuo Yang | Environmental Science | Best Researcher Award

Shandong Jianzhu University | China

Yang Shuo is an accomplished associate researcher at the School of Municipal and Environmental Engineering, Shandong Jianzhu University, with a strong academic foundation built through degrees in water supply and drainage science, municipal engineering, and environmental science and engineering, culminating in a doctorate in engineering. Her professional journey includes teaching, research, and postdoctoral work at the Shandong Provincial Urban Water Supply and Drainage Quality Monitoring Center, where she has advanced studies in waste treatment and environmental protection. Her research interests span solid waste disposal and resource utilization, water pollution control and resource recovery, biomass carbon preparation and modification technology, and anaerobic digestion of organic waste, with a focus on resistance gene translocation mechanisms. She possesses strong research skills in microbial ecological mechanisms, biochar preparation, anaerobic biological treatment, and contaminated soil remediation. She has led and participated in significant national and provincial projects supported by prestigious foundations, producing impactful results. Her achievements include publishing over twenty high-quality papers, several in SCI-indexed journals with highly cited recognition, contributing to monographs, and securing patents on biochar and solid waste recycling technologies. She has been honored with awards for innovative contributions to mine water treatment and sustainable practices. In conclusion, Yang Shuo’s combination of academic excellence, innovative research, and practical contributions to environmental engineering highlight her as a promising scholar making meaningful advances in sustainable waste and water management.

Profile: ORCID

Featured Publications

Liang Luo| Civil Engineering | Best Scholar Award

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Dr. Liang Luo| Civil Engineering | Best Scholar Award

Luo Liang is a dedicated PhD student at the School of Civil Engineering, Harbin Institute of Technology, China. His work integrates cutting-edge research in structural engineering, focusing on bridge performance, concrete innovation, and seismic resilience. With a Master’s degree in Engineering and a robust academic trajectory, he has published 18 peer-reviewed articles, reflecting his deep expertise in structural stress analysis, recycled concrete materials, and bridge operation decision-making. Luo’s contributions span from experimental investigations to advanced finite element modeling, aiming to enhance infrastructure durability and sustainability. His research is both practical and forward-thinking, addressing challenges in modern construction through innovative material modification techniques such as nano-silica and mixed fibers. As a rising scholar in civil engineering, he demonstrates strong analytical skills, experimental precision, and a commitment to sustainable urban development, making notable impacts in the field of bridge engineering and green construction technologies.

Profile

🎓 Education

Luo Liang earned his Master of Engineering with a concentration in structural engineering, where he built a strong foundation in material mechanics, design principles, and infrastructure systems. Currently pursuing a PhD at the School of Civil Engineering, Harbin Institute of Technology (HIT), China, he is engaged in rigorous academic research that combines theoretical modeling with real-world applications. HIT, a prestigious institution ranked among China’s top engineering universities, provides Luo access to advanced laboratories and interdisciplinary collaboration. His doctoral studies focus on developing sustainable construction materials, evaluating seismic behavior of bridge structures, and decision-making for bridge operation and maintenance. Through his coursework, research projects, and collaborative publications, Luo has cultivated advanced knowledge in concrete technology, stress analysis, and infrastructure resiliency. His educational journey reflects his deep interest in structural innovation and environmental sustainability, with academic milestones consistently marked by technical excellence and research productivity in peer-reviewed platforms.

🧪 Experience

As a PhD researcher at Harbin Institute of Technology, Luo Liang brings several years of intensive academic and experimental experience in structural engineering. His work emphasizes hands-on analysis of bridge performance, material enhancement, and stress-state behavior under dynamic loads. Luo has co-authored 18 peer-reviewed research papers, collaborating with prominent scholars in experimental and numerical studies, including investigations on ultra-high-performance concrete (UHPC) and recycled aggregate concrete (RAC). His expertise extends to finite element modeling, ensemble learning methods for seismic performance prediction, and structural behavior simulations under vehicle-bridge interaction (VBI). Luo’s involvement in laboratory testing and real-world case studies has shaped his comprehensive understanding of civil infrastructure performance and control. Beyond technical execution, he has contributed to multidisciplinary research teams focused on resilience and sustainability in transportation systems. Through consistent innovation and application-driven research, Luo has emerged as a critical thinker and proactive contributor to the civil engineering research community.

🏅 Awards and Honors

While specific awards are not listed, Luo Liang’s academic recognition is evident in his publication record and research influence. With 18 peer-reviewed journal articles and over 2,900 citations (as of June 2025), his scholarly output speaks to the impact and quality of his contributions. He has been instrumental in projects that received institutional and departmental support for sustainable construction research, seismic performance analysis, and intelligent bridge monitoring. His high citation count and authorship in impactful studies on UHPC, recycled materials, and bridge seismic resilience suggest consistent acknowledgment by the global research community. Luo’s inclusion in collaborative research with well-established authors and reputable journals implies a strong academic reputation. As he advances in his career, he is likely to receive further accolades tied to green engineering, infrastructure resilience, and computational modeling. His rapid academic progression and scholarly productivity place him on a promising trajectory for future national and international recognition.

🔬 Research Focus

Luo Liang’s research focuses on advancing the durability, sustainability, and safety of civil infrastructure. His core interests include bridge operation and maintenance decision-making, structural stress-state analysis, seismic performance of reinforced concrete (RC) and steel-concrete composite bridges, and advanced concrete material modification. He investigates the mechanical properties and microstructural behavior of recycled aggregate concrete (RAC), enhanced using nano-silica and mixed fibers, aiming to improve emergency repair performance and reduce environmental impact. Luo also explores the dynamic interaction between vehicles and bridge systems (VBI), developing surrogate models using ensemble learning to predict seismic behavior more accurately. His methodological approach blends experimental techniques with finite element simulations, offering insights into load-bearing mechanisms and performance optimization. By addressing challenges in aging infrastructure and sustainability, Luo’s work contributes to safer, greener, and smarter structural systems, aligning with global priorities in civil engineering and disaster resilience. His research holds high relevance for both academia and practical infrastructure policy.

✅ Conclusion

Luo Liang is a promising structural engineering researcher whose work in sustainable materials, seismic modeling, and bridge maintenance significantly contributes to resilient and eco-efficient infrastructure systems, making him a valuable asset to the global civil engineering community.

Publications

 

 

 

 

Jinming yang | Remote sensing disaster detection | Best Researcher Award

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Assist. Prof. Dr. jinming yang | Remote sensing disaster detection | Best Researcher Award

Dr. JinMing Yang is an Assistant Researcher at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. With a Ph.D. in Geography from Xinjiang University, his expertise lies in snow ecohydrology and disaster science in arid regions. His research integrates physical experiments, remote sensing technologies, and mathematical modeling to study snow and avalanche phenomena, focusing on precipitation-ice-snow runoff processes and snow disaster assessment. He has developed advanced remote sensing models for detecting avalanche debris and contributed significantly to understanding the dynamic evolution of mountain disasters. He has published influential articles in SCI-indexed journals, including innovations in automatic avalanche detection using C-band SAR data. He serves as a reviewer for Cold Regions Science and Technology and holds membership in the Xinjiang Natural Resources Society. His scientific contributions are helping to improve snow safety and disaster risk management, making him a prominent figure in his field.

Profile

🎓 Education

Dr. JinMing Yang earned his Ph.D. in 2017 from Xinjiang University, China, majoring in Geography with a specialization in Physical Geography. His doctoral studies provided a strong foundation in environmental and geospatial sciences, with a specific focus on the cryosphere in arid regions. He received intensive training in field-based observation, experimental research, remote sensing data analysis, and mathematical modeling techniques. Throughout his academic career, he has demonstrated a high level of scientific rigor and innovation, especially in integrating electromagnetic spectrum characteristics with snow and avalanche studies. His education combined theoretical depth with applied research, equipping him with the skills to investigate ecohydrological processes, snow accumulation dynamics, and avalanche risk modeling. This academic background not only enhanced his capacity for independent research but also prepared him for interdisciplinary collaborations aimed at understanding and mitigating natural disasters in vulnerable mountainous terrains.

🧪 Experience

Since completing his Ph.D., Dr. JinMing Yang has served as an Assistant Researcher at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences. He has accumulated significant experience in snow ecohydrology, particularly within arid and mountainous environments. His work centers on monitoring and modeling snow-related hazards using advanced remote sensing technologies, including SAR data, to improve avalanche detection accuracy. He led a National Natural Science Foundation of China project focused on spatiotemporal evolution of avalanches in the western Tianshan Mountains, employing multi-modal electromagnetic spectrum coupling. Dr. Yang has also contributed to disaster risk assessment frameworks and snow safety strategies, often working with cross-disciplinary teams. His methodological expertise in fusing remote sensing, geostatistics, and simulation models makes him an asset in both academic and practical contexts. Additionally, his editorial and peer-review contributions reflect his growing leadership in the cryosphere and natural hazards research community.

🏅 Awards and Honors

Dr. JinMing Yang has emerged as a notable young researcher in the field of snow disasters and mountain hazard assessment. While specific awards are not listed in the provided information, his nomination for the “Best Researcher Award” highlights his recognized excellence and impact in scientific research. His groundbreaking work on avalanche detection using SAR data and multi-source model integration has earned him reviewer responsibilities for prestigious journals like Cold Regions Science and Technology. His citation index of 29 indicates growing academic recognition, and his project funding from the National Natural Science Foundation of China signifies trust in his expertise and innovative capacity. His active role in professional societies like the Xinjiang Natural Resources Society further reflects his integration into influential academic networks. His contributions are instrumental in shaping practical policies for snow safety in arid mountain environments, positioning him as a strong candidate for national and international research accolades.

🔬 Research Focus

Dr. JinMing Yang’s research is focused on snow ecohydrology and disaster risk modeling in arid and mountainous regions, with snow as the central element. He explores the precipitation-ice-snow runoff process and studies the mechanisms driving avalanche formation and development. A major aspect of his work involves remote sensing-based detection and assessment of snow disasters, particularly the use of SAR data to automate avalanche debris identification. His innovative research has led to the development of independently constructed models combining multi-source variables to quantify avalanche risk spatially and temporally. He also investigates the seasonal dynamics and causal variable influences on avalanche behavior, contributing to mountain safety science. These models offer insights into hazard evolution, aiding in effective disaster prevention and response. His methodology relies heavily on geospatial analysis, electromagnetic spectrum modeling, and simulation techniques, bridging theoretical understanding with real-world applications for environmental safety and planning.

✅ Conclusion

Dr. JinMing Yang stands out as an accomplished researcher whose innovative contributions to snow ecohydrology and remote sensing-based disaster assessment have advanced scientific understanding and practical management of snow-related hazards in arid mountain regions.

Publications

  • Dynamic spatiotemporal quantification of avalanches in the Central Tianshan Mountains by integrating air–space–ground collaborative sensing and snow field–terrain filters

    International Journal of Digital Earth
    2024-12-31 | Journal article
    DOI: 10.1080/17538947.2024.2432525
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: JinMing Yang; LanHai Li; Yang Liu

  • Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach

    International Journal of Digital Earth
    2024-12-31 | Journal article
    DOI: 10.1080/17538947.2023.2299208
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: Yang Liu; Jinming Yang; Xi Chen; Junqiang Yao; Lanhai Li; Yubao Qiu

  • Snow avalanche susceptibility mapping from tree-based machine learning approaches in ungauged or poorly-gauged regions

    CATENA
    2023-05 | Journal article
    DOI: 10.1016/j.catena.2023.106997
    Part ofISSN: 0341-8162
    CONTRIBUTORS: Yang Liu; Xi Chen; Jinming Yang; Lanhai Li; Tingting Wang

  • Winter–Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China

    Remote Sensing
    2022-03-10 | Journal article
    DOI: 10.3390/rs14061340
    Part ofISSN: 2072-4292
    CONTRIBUTORS: Jinming Yang; Qing He; Yang Liu

  • Mapping snow avalanche debris by object-based classification in mountainous regions from Sentinel-1 images and causative indices

    CATENA
    2021-11 | Journal article
    DOI: 10.1016/j.catena.2021.105559
    Part ofISSN: 0341-8162
    CONTRIBUTORS: Yang Liu; Xi Chen; Yubao Qiu; Jiansheng Hao; Jinming Yang; Lanhai Li

  • Assimilation of D-InSAR snow depth data by an ensemble Kalman filter

    Arabian Journal of Geosciences
    2021-03 | Journal article
    DOI: 10.1007/s12517-021-06699-y
    Part of ISSN: 1866-7511
    Part of ISSN: 1866-7538
    CONTRIBUTORS: Jinming Yang; Chengzhi Li

Zhiwei Fan | Geology | Best Researcher Award

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Dr. Zhiwei Fan | Geology | Best Researcher Award

Zhi-Wei Fan is a Ph.D. candidate at Central South University, China, specializing in geochemistry and petrology with a focus on magmatic-hydrothermal systems and rare metal mineralization. He integrates micro-analytical techniques such as LA-ICP-MS, EMPA, and XRD in mineralogical research, with key interests in beryl, muscovite, tourmaline, and pegmatite-hosted critical elements. Known for academic excellence and research contributions, he has received multiple scholarships and awards for innovation, leadership, and volunteer service. His scholarly works are published in reputed journals like Ore Geology Reviews and GSA Bulletin, contributing to the understanding of crystal chemistry and ore-forming processes in pegmatites. He actively participates in national ore deposit conferences and demonstrates strong communication skills in English. With a foundation built on excellence from undergraduate through Ph.D. studies at Central South University, Fan is positioned to advance research in mineral systems and geochemical modeling.

Profile

Education 🎓

Zhi-Wei Fan completed his Bachelor’s degree in Geosciences from Central South University in 2021, where he began cultivating his academic focus on mineralogy and geochemistry. He continued at the same institution for his Master’s degree from 2021 to 2023, further refining his expertise in petrology and rare-metal-bearing pegmatites. His postgraduate education emphasized advanced geochemical tools and mineralogical techniques, which laid the groundwork for his transition into a Ph.D. program in 2023 at Central South University. Throughout his academic journey, Fan has received multiple honors for academic excellence and research performance, including high-ranking scholarships and recognition for his thesis. His comprehensive education equips him with strong theoretical knowledge and practical laboratory skills in micro-analysis, mineral crystal chemistry, and isotopic geochemistry. His education has supported active research participation in key national academic forums and contributions to high-impact geological publications, marking him as a rising scholar in ore deposit studies.

Experience 👨‍🏫

Zhi-Wei Fan has cultivated significant research and academic experience at Central South University across his undergraduate, master’s, and Ph.D. programs. His fieldwork and lab experience include mineralogical investigations in the Baishawo Be-Li-Nb-Ta pegmatite deposit, application of Rayleigh fractionation models, and characterization of critical elements using advanced techniques like LA-ICP-MS and XRD. He has presented at national conferences, including the 16th and 17th China Ore Deposits Conferences, showcasing his insights on magmatic-hydrothermal systems. Fan has also demonstrated leadership as an Outstanding Student Cadre and made contributions to public service as a volunteer during epidemic control efforts. His experience extends to interdisciplinary collaboration, analytical modeling of mineral evolution, and academic publishing. He has earned several scholarships, reflecting his consistent academic performance and research impact. As an active scholar and field researcher, he combines strong scientific methodology with critical analytical skills, making meaningful contributions to the field of economic geology.

Awards & Recognitions 🏅

Zhi-Wei Fan has been recognized with numerous academic and service honors at Central South University. He earned the Third Prize Scholarship for three consecutive years (2018, 2019, 2020), Second Prize in 2022, and the prestigious First Prize Scholarship in 2023. His leadership was honored with the “Outstanding Student Cadre” and “Outstanding Member” awards in 2020. His social contributions were acknowledged with the “Outstanding Volunteer for Epidemic Prevention and Control” award. He received the “Outstanding Thesis” award in 2021 and the “Favorite On-Site Display Project Award” at the 2021 Innovation and Entrepreneurship Conference. These awards reflect his strong academic standing, leadership capabilities, community service, and research innovation. Fan has consistently demonstrated excellence across academics, extracurricular activities, and public service, positioning him as a well-rounded and impactful scholar in the geoscience community.

Research Interests 🔬

Zhi-Wei Fan’s research focuses on the geochemistry and petrology of ore-forming systems, especially magmatic-hydrothermal environments associated with rare metal mineralization. He specializes in characterizing mineral chemistry and zonation in pegmatites to understand enrichment mechanisms of critical elements such as Li, Be, Nb, and Ta. His work employs micro-analytical tools like LA-ICP-MS, EMPA, and SC-XRD to investigate minerals like beryl, tourmaline, and garnet. Fan develops Rayleigh fractionation models to decipher the internal and regional zonation of pegmatites. He is particularly interested in crystal chemistry and fluid-rock interaction processes that govern rare metal concentration and transport. His recent publications address crystal fractionation in beryl and the genesis of granite-pegmatite systems in South China. His research contributes to decoding mineral evolution patterns and advancing resource exploration strategies for rare metal deposits, making him a promising researcher in economic geology and mineral exploration.

Publications
  • Zhiwei Fan, Yiqu Xiong. 2024. Crystallographic insights and crystal fractionation
    simulations of alkali-and water-bearing beryl: Implications for magmatic–hydrothermal
    evolution and Be enrichment mechanisms. Ore Geology Reviews, 106278

 

  • Yiqu Xiong, Zhiwei Fan. 2024. Genetic linkage between parent granite and zoned rare
    metal pegmatite in the Renli-Chuanziyuan granite-pegmatite system, South China.
    Geological Society of America Bulletin.

  • Textural and chemical characteristics of beryl from the Baishawo Be-Li-Nb-Ta pegmatite deposit, Jiangnan Orogen: Implication for rare metal pegmatite genesis

    Ore Geology Reviews
    2022-09-06 | Journal article
    DOI: 10.1016/j.oregeorev.2022.105094
    Part of ISSN: 0169-1368
    CONTRIBUTORS: Zhi-Wei Fan; Xiong Yiqu; Yong-Jun Shao; Chun-Hua Wen

Behzad Zamani | Earth sciences | Best Researcher Award

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Dr. Behzad Zamani | Earth sciences | Best Researcher Award

Behzad Zamani G. is a seasoned geoscientist 🌍 with expertise in tectonics, geohazards, morphotectonics, fault studies & hydrogeology 💧, combining academic excellence with over two decades of research, teaching, and applied geophysical exploration 🔎 in Iran 🇮🇷 and France 🇫🇷, contributing deeply to tectonic stress modeling and geological problem-solving 🧠.

Profile

Education 🎓

Behzad earned a Ph.D. in Geology (Tectonics) from University of Shiraz & Pierre et Marie Curie 🇫🇷 (2008) 🎯, an M.Sc. in Geology (Tectonics) from University of Tabriz 🇮🇷 (2000) 📘 focusing on seismo-tectonics & GIS 🌐, and a B.Sc. in Geology from University of Tabriz (1997) 📚, shaping a solid academic foundation in Earth sciences 🌋.

Experience 👨‍🏫

Behzad boasts a stellar academic & industry journey 🌍, serving as Associate Professor at University of Tabriz since 2008 🎓, Invited Professor at University of Strasbourg 🇫🇷 (2023-24) 📢, Research Assistant at GeoAzur Lab 🇫🇷 (2005-08) 🔬, plus over a decade in hydrogeology, geophysics & tectonic consultancy roles across Iran’s major infrastructure projects 🚧.

Awards & Recognitions 🏅

Behzad earned the highest Ph.D. dissertation grade 🥇 (2009), was recognized for a “Hot Paper” in Geodynamics 📜 (2007), secured Iran’s national Ph.D. research fund 💡 (2003), ranked 2nd in the national Ph.D. entrance exam 🧠 (2002), 1st in M.Sc. at Tabriz 🎖️ (2001), and topped Shiraz University’s Ph.D. test 📚 (2001).

Research Interests 🔬

Behzad’s research deciphers Earth’s stress fields 🌍, fault systems ⚡, morphotectonics 🏞️, hydrogeology 💧, and geohazards 🧯 using geophysical data modeling 🖥️, seismo-tectonic analysis 📊, remote sensing 🛰️ & GIS, offering vital solutions to engineering-geological challenges 🏗️ and water exploration in hard rock terrains ⛏️.

Publications

  • Present-day crustal deformation of the Caucasus and Northern Iran constrained by InSAR time series  

    2025-01-20 | Preprint
    DOI: 10.5194/egusphere-egu24-13308
    CONTRIBUTORS: Zaur Bayramov; Renier Viltres; Cecile Doubre; Alessia Maggi; Frederic Masson; Behzad Zamani; Marie-Pierre Doin

  • Geodynamics and tectonic stress model for the Zagros fold–thrust belt and classification of tectonic stress regimes

    Marine and Petroleum Geology
    2023-09 | Journal article
    DOI: 10.1016/j.marpetgeo.2023.106340
    CONTRIBUTORS: Behzad Zamani G.

zeenat khadim | Remote Sensing | Best Research Article Award

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Dr. zeenat khadim | Remote Sensing | Best Research Article Award

Zeenat Khadim Hussain is a passionate PhD Researcher 🧠 at Wuhan University, China 🇨🇳 specializing in Photogrammetry and Remote Sensing 🌍. With strong analytical skills and innovative thinking 💡, she explores the fusion of Deep Learning 🤖 with geospatial technologies for solving real-world problems 🌱. Her research has made contributions to urban sustainability 🌇, building detection 🏢, and solar energy potential mapping ☀️. Zeenat’s scholarly journey is marked by impactful publications 📚 in reputed journals, advancing cutting-edge solutions for environmental monitoring 🌐. She actively engages in international research collaborations 🤝 and industry-driven projects like Pakistan’s Flood Emergency Reconstruction 🌊. Zeenat remains committed to promoting sustainable development goals (SDGs) through scientific research 📖 and practical applications. Her work reflects dedication to empowering urban resilience 🏙️ and advancing geospatial science 📡 for a smarter and greener future 🌿.

Profile

Education 🎓

Zeenat Khadim Hussain holds an exceptional academic background 🏅. Currently pursuing a PhD in Photogrammetry and Remote Sensing 🛰️ at Wuhan University, China 🇨🇳, her education combines theoretical excellence 📚 and real-world applications 🌍. Prior to this, she achieved commendable academic success in her undergraduate and postgraduate studies 🎓, where she cultivated her passion for geospatial technologies 🔭 and machine learning 💻. Through rigorous training at Wuhan University’s prestigious School of Remote Sensing 🏫, she honed her research methodology, scientific writing ✍️, and computational modeling skills 🧠. Her strong educational foundation underpins her ability to bridge the gap between advanced technology 💡 and environmental sustainability 🌱, positioning her as a forward-thinking researcher 🔬 with global perspectives 🌐. Zeenat’s academic record reflects her commitment to lifelong learning 📖 and excellence in scientific inquiry 🏆.

Experience 👨‍🏫

Zeenat Khadim Hussain has rich research and project experience 🏗️, including 3+ major research projects on urban analysis 🏙️, solar irradiance assessment ☀️, and building footprint extraction 🧱 using deep learning algorithms 🤖 and Sentinel-2 satellite imagery 🛰️. She has also contributed to Pakistan’s Flood Emergency Reconstruction and Resilience Project 🌊, applying her expertise to real-world disaster management 🌐. Zeenat has authored 6 publications in high-impact journals (SCI, Scopus) 📰 and is continuously expanding her research collaborations 🤝. Her commitment to developing AI-powered geospatial solutions 💡 for urban sustainability and disaster resilience 🚧 has made her a rising star 🌟 in remote sensing. From conceptualizing research frameworks 📋 to deploying machine learning pipelines ⚙️, Zeenat’s experience spans both academic and applied research environments 🧪, establishing her as a dynamic and results-oriented researcher 🔬.

Awards & Recognitions 🏅

Zeenat Khadim Hussain’s academic journey is distinguished by multiple honors 🎖️ and global recognition 🌐. Her groundbreaking work on building detection and rooftop solar assessment 🏢☀️ has earned commendation in academic conferences and journal publications 📚. She has been nominated for competitive research awards 🥇 such as the Best Research Scholar Award 🧠 and Excellence in Research 🌟, highlighting her commitment to scientific innovation 🔬. Her practical impact through Pakistan’s Flood Reconstruction Project 🌊 and interdisciplinary collaborations 🤝 showcases her leadership potential and societal contribution 💪. Zeenat’s consistent publication record in reputed platforms 📰 and successful completion of funded research projects 💸 emphasize her growing academic influence 🚀. Her career reflects resilience, intellectual curiosity 🧠, and a passion for using technology to solve environmental and urban challenges 🌍.

Research Interests 🔬

Zeenat Khadim Hussain’s research focuses on the fusion of Deep Learning 🤖, Photogrammetry 📏, and Remote Sensing 🛰️ to tackle urban, environmental, and energy-related challenges 🌍. She specializes in building footprint detection 🏢, rooftop solar potential mapping ☀️, and disaster risk management 🌊 using geospatial data and AI algorithms ⚙️. Her work bridges the gap between theoretical modeling 📐 and real-world applications in sustainable urban planning 🌱 and renewable energy assessment ⚡. She is especially passionate about translating satellite data into actionable insights 🔎 for climate adaptation, resilience, and urban growth 📊. Zeenat’s latest research introduces deep learning architectures 🧠 that enhance rooftop extraction accuracy, as published in Remote Sensing Applications: Society and Environment 🌐. Her aim is to push the frontiers of automated geospatial analysis 🚀, enabling smarter and greener cities 🏙️ for future generations 🌿.

Publications 

  • Spatiotemporal optimization for communication-navigation-sensing collaborated emergency monitoring

    International Journal of Digital Earth
    2025-12-31 | Journal article
    DOI: 10.1080/17538947.2025.2475517
    Part ofISSN: 1753-8947
    Part ofISSN: 1753-8955
    CONTRIBUTORS: xicheng tan; Bocai Liu; Chaopeng Li; Zeenat Khadim Hussain; Kaiqi Wang; Kai Wang; Mengyan Ye; Danyang Yang; Zhiyuan Mei

  • A Novel Architecture for Building Rooftop Extraction Using Remote Sensing and Deep Learning

    Remote Sensing Applications: Society and Environment
    2025-04 | Journal article | Author
    DOI: 10.1016/j.rsase.2025.101551
    Part ofISSN: 2352-9385
    CONTRIBUTORS: zeenat khadim; Jiang Congshi; Muhammad Adrees; Hamza Chaudhary; Rafia Shafqa

  • 3D spatial evolutionary particle swarm algorithm based emergency communication spatial deployment optimization

    Geo-spatial Information Science
    2025-03-11 | Journal article
    DOI: 10.1080/10095020.2025.2472006
    Part of ISSN: 1009-5020
    Part of ISSN: 1993-5153
    CONTRIBUTORS: Yumin Chen; xicheng tan; Jinguang Jiang; Xiaoliang Meng; Zeenat Khadim Hussain; Jianguang Tu; Huaming Wang; You Wan; Zongyao Sha

Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

Mingshun Jiang is a professor at the School of Control Science and Engineering, Shandong University 🎓. He is a doctoral supervisor and a young expert of Mount Taishan Scholars 🌟. He serves as the director of the Shandong Engineering Research Center for Intelligent Sensor and Detection Technology 🔬 and deputy director of the Institute of Intelligent Perception 🏛️. His research primarily focuses on intelligent sensors and detection technologies, with over 20 funded projects, including the National Natural Science Foundation and the National Key R&D Program 🏆. He has authored 60+ high-level academic papers in renowned journals 📑. His innovative contributions aim at monitoring complex structural states in high-end equipment 🚀. With extensive industry collaborations, his work has applications in aerospace, rail transit, and military technology 🛰️🚆.

Profile

Education 🎓

Mingshun Jiang earned his doctoral degree in Control Science and Engineering from Shandong University 🎓. His academic journey focused on developing intelligent sensor systems and detection methodologies 📡. His research expertise was cultivated through interdisciplinary learning, integrating control science, artificial intelligence, and structural health monitoring 🤖. His doctoral research emphasized advanced ultrasonic-guided wave detection and probabilistic diagnostic imaging techniques 🏗️. Jiang’s educational background provided him with expertise in designing smart sensor networks, optimizing detection mechanisms, and enhancing structural health monitoring systems ⚙️. With strong mathematical and engineering foundations, he developed novel algorithms for real-time damage localization and predictive maintenance 📊. His continuous learning and research efforts have been instrumental in bridging technological gaps in aerospace, rail transit, and high-end industrial applications 🚆✈️.

Experience 👨‍🏫

Mingshun Jiang has extensive research and academic experience, currently serving as a professor at Shandong University 🏛️. He has led over 20 major research projects, including the National Natural Science Foundation and National Key R&D Program 🌍. As the director of the Shandong Engineering Research Center, he focuses on intelligent sensor development and detection technologies 🔍. His research has been successfully applied in aerospace, rail transit, and high-end industrial monitoring 🚀🚆. He has supervised numerous doctoral students and collaborated with various enterprises on engineering solutions 🏗️. Jiang has also played a key role in technical verification and real-world applications of his research findings 📡. His leadership in academia and industry-driven research has established him as a leading expert in intelligent perception and structural health monitoring 🏆.

Awards & Recognitions 🏅

Mingshun Jiang has received multiple prestigious recognitions, including being a young expert of Mount Taishan Scholars in Shandong Province 🌟. His work has been supported by national and provincial funding agencies, highlighting his contributions to intelligent sensor technology 🏆. He has been awarded numerous grants under the National Natural Science Foundation and National Key R&D Program 🎖️. Jiang’s research achievements have been recognized through invited talks at leading academic conferences and industry collaborations 🤝. He has served as an executive director of the China Inspection and Testing Society, further solidifying his reputation in the field 🔬. His high-impact publications in top-tier journals have earned him accolades for innovation and research excellence 📑. Jiang continues to receive recognition for his contributions to the monitoring of complex structural states in high-end equipment 🚀.

Research Interests 🔬

Mingshun Jiang’s research focuses on intelligent sensors, structural health monitoring, and detection technology 📡. His work integrates artificial intelligence, probabilistic diagnostic imaging, and ultrasonic-guided wave techniques for real-time damage localization and predictive maintenance 🏗️. Jiang has developed innovative methodologies for monitoring key structural indicators such as boundary loads, damage detection, and component failures 🚆. His research aims to bridge the gap between technological innovation and application in aerospace, rail transit, and industrial monitoring 🛰️. His team has successfully engineered high-end monitoring systems that have undergone technical validation and real-world implementation 🔍. Jiang’s expertise extends to developing smart sensing layers for structural health monitoring, contributing to safer and more efficient industrial systems ⚙️. Through his interdisciplinary research, he continues to advance intelligent perception systems for next-generation monitoring applications 🚀.

Publications 
  • Ruijie Song, Lingyu Sun, Yumeng Gao, Juntao Wei, Chang Peng, Longqing Fan andMingshun Jiang*. Unsupervised temperature-compensated damage localization method based on damage to baseline autoencoder and delay-based probabilistic imaging. Mechanical Systems and Signal Processing, 230: 112649, 2025.
  • Hong Zhang ,Feiyu Teng , Juntao Wei , Shanshan Lv , Lei Zhang , Faye Zhang  and Mingshun Jiang*. Damage Location Method of Pipeline Structure by Ultrasonic Guided Wave Based on Probability Fusion.  IEEE Transactions on Instrumentation and Measurement, 73, 9504914, 2024.
  • . LingyuSun , Juntao Wei , Chang Peng , Wei Hao , Feiyu Teng , Longqing Fan , Lei Zhang , Qingmei Sui  and Mingshun Jiang. Ultrasonic guided wave-based probabilistic diagnostic imaging method with Single-Path-Scattering sparse reconstruction for Multi-Damage detection in composite structures.  Mechanical Systems and Signal Processing, 223, 111858, 2024.
  • XiaoshuQin , Shanshan Lv , Changhang Xu , Jing Xie , Lei Jia , Qingmei Sui  and Mingshun Jiang*. Implications of liquid impurities filled in breaking cracks on nonlinear acoustic modulation response: Mechanisms, phenomena and potential applications.  Mechanical Systems and Signal Processing, 200, 110550, 2023.
  • Shanshan Lv , Juntao Wei  and Mingshun Jiang*. Damage localization method for plate-like composite structure based on valid path optimization and search point matching.  Mechanical Systems and Signal Processing, 182, 109562, 2023.