Chaoxi Liang | green finance | Best Researcher Award

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Dr. Chaoxi Liang | green finance | Best Researcher Award

School of Environment and Energy, Peking University, China

Author Profiles

Scopus

Research Gate

👨‍🎓 Early Academic Pursuits

Dr. Chaoxi Liang is currently a Ph.D. candidate in Environmental Science at Peking University, one of China’s top universities. Ranked first in his cohort with a GPA of 3.9/4, his academic journey reflects both his exceptional work ethic and intellectual rigor. His research interests span the fields of green finance, environmental economics, digital economics, causal inference, and explainable machine learning. This foundation in academia, combined with his multidisciplinary approach, has enabled him to publish extensively in prestigious journals such as the Journal of Business Ethics.

💼 Professional Endeavors

Beyond academia, Dr. Liang has gained professional experience as an algorithm research intern at Tencent and as an investment assistant at Guotai Junan Securities. In these roles, he demonstrated his proficiency in AI algorithms, financial modeling, and data-driven decision-making. His work at Tencent involved the development of cutting-edge algorithms, while at Guotai Junan Securities, he contributed to financial analysis and investment strategies. These experiences have sharpened his practical expertise, making him a leader in bridging the gap between academic research and industry application.

🔬 Contributions and Research Focus

Dr. Liang’s research focuses on the intersection of sustainability, finance, and machine learning. He has developed novel causal inference frameworks to examine investor motivation and trust in green bonds, providing critical insights for sustainable finance. His innovative use of explainable AI in analyzing electric vehicle consumer satisfaction has garnered attention, with his findings featured in a Nature sub-journal. Additionally, his integration of lifecycle analysis with input-output models offers vital information on the economic and employment impacts of renewable energy projects. These contributions are pivotal for the evolving fields of green finance and environmental economics.

🌍 Impact and Influence

Dr. Liang’s work has significantly impacted both academia and industry, particularly in the field of sustainable finance. His publications, including those in the Journal of Business Ethics and Humanities and Social Sciences Communications, have addressed critical issues such as green bond investor behavior and consumer satisfaction with electric vehicles. By leveraging AI and machine learning, his research has provided actionable insights for policy-making and sustainable investment. His ability to combine environmental sustainability with economic innovation is poised to influence both future academic work and real-world applications in green finance.

📈 Academic Cites

Dr. Liang’s work has already attracted significant attention, with several of his publications cited by researchers in the fields of green finance, environmental economics, and machine learning. For example, his research on impact investing and investor trust in green bonds has influenced ongoing conversations in the academic community, making him a thought leader in sustainable finance. His work on explainable AI and consumer satisfaction in the context of electric vehicles continues to inspire further studies in both AI-driven sustainability and environmental economics.

💻 Technical Skills

Dr. Liang possesses advanced technical skills in machine learning, causal inference, AI algorithms, and financial modeling. His expertise in explainable AI and data-driven analysis allows him to develop robust frameworks that can be applied across various sectors, from green finance to renewable energy and environmental sustainability. These technical abilities are essential for his research and his future endeavors in advancing the role of technology in sustainable development.

📚 Teaching Experience

Dr. Liang’s primary focus is research, his academic journey has also allowed him to share his knowledge through teaching. As part of his Ph.D. studies at Peking University, he has had the opportunity to work with undergraduate and graduate students, offering guidance in subjects related to environmental economics, green finance, and machine learning. His ability to communicate complex concepts in these areas has made him an effective educator, helping the next generation of scholars understand the interdisciplinary nature of sustainability and technology.

🌱 Legacy and Future Contributions

Dr. Liang’s long-term vision is to continue bridging the gap between sustainability, finance, and technology. His research innovations in green finance and AI-driven solutions aim to contribute to a more sustainable future. By advancing knowledge in areas like impact investing and explainable AI, he seeks to provide actionable insights for both policy-makers and industry leaders in the field of environmental sustainability. His work not only influences academic literature but also has the potential to drive real-world change in the realm of environmental finance.

📖 Top Noted Publications 

Unveiling consumer satisfaction and its driving factors of EVs in China using an explainable artificial intelligence approach

Authors: Liang, C., Yang, Q., Sun, H., Ma, X.

Journal: Humanities and Social Sciences Communications

Year: 2024

Dietary patterns and transitions in China: Implications for climate impacts across different life stages

Authors: Su, Y., Liang, C., Ma, X., Xiong, S., Lu, X.

Journal: Environmental Impact Assessment Review

Year: 2024

Unveiling Investor Motivation and Trust in Impact Investing: Evidence from Global Green Bond Issuances

Authors: Liang, C., Ma, X., Liao, X.

Journal: Journal of Business Ethics

Year: 2024

How much urban air quality is affected by local emissions: A unique case study from a megacity in the Pearl River Delta, China

Authors: Tang, M.-X., Huang, X.-F., Yao, P.-T., Yu, K., Guo, S.

Journal: Atmospheric Environment

Year: 2023

Changjiang Liu | Remote sensing | Best Researcher Award

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Dr. Changjiang Liu | Remote sensing | Best Researcher Award

Xinjiang Normal University, China

Author Profiles 📚

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Changjiang Liu’s academic journey centers on the field of cartography and geographic information systems (GIS). His early pursuits focused on understanding the intricacies of remote sensing and its applications to environmental monitoring. This foundation laid the groundwork for his subsequent research on water environment extraction in arid regions, specifically lakes and reservoirs, using advanced remote sensing techniques. His work over the past five years has contributed significantly to the understanding of water dynamics in such challenging environments.

Professional Endeavors 💼

Dr. Liu’s professional career has been marked by continuous engagement with cutting-edge research in remote sensing applications, particularly in the context of arid areas. He has secured various research grants, including the Open Project of Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, and the Xinjiang Uygur Autonomous Region Natural Science Foundation. These projects have allowed him to explore the relationship between water quality, quantity, and environmental changes, contributing to the advancement of remote sensing technologies in resource management.

Contributions and Research Focus 🔬

Dr. Liu’s primary research focuses on the remote sensing of water environments, especially in arid regions. His studies examine the spatiotemporal variations in water quality and quantity in lakes and reservoirs, emphasizing the role of shallow water bottom reflection and its impact on remote sensing data. By developing radiative transfer simulations, he has made significant strides in enhancing the accuracy of water monitoring. Additionally, his work on quantifying the radiation transmission mechanism in shallow water environments has improved the understanding of water behavior in arid areas.

Impact and Influence 🌍

Dr. Liu’s research has had a profound impact on the scientific community, with 10 SCI papers as the first author and numerous collaborations with international researchers. His work has been widely cited (913 times), reflecting its importance and influence in the fields of remote sensing and environmental science. His papers in prestigious journals like Journal of Cleaner Production and Science of the Total Environment have contributed to advancing knowledge on water quality monitoring, environmental protection, and sustainable resource management in arid regions.

Academic Cites 📚

Dr. Liu has an H-Index of 16, which reflects the citation impact of his published work. With a total of 29 papers, his research is well-regarded in the field of environmental sciences, particularly in remote sensing. His influential articles continue to shape the discourse on water quality monitoring, environmental management, and the utilization of GIS and remote sensing technologies to assess and manage natural resources.

Technical Skills 🛠️

With a strong background in remote sensing and GIS, Dr. Liu possesses advanced technical skills in radiative transfer simulation, spatial data analysis, and environmental monitoring using remote sensing technologies. His expertise extends to the application of these techniques for analyzing water quality, quantity, and the environmental impacts of shallow water reservoirs and lakes. Dr. Liu’s contributions to technical advancements in these areas have enhanced the accuracy of environmental assessments in arid regions.

Teaching Experience 🍎

As a lecturer at Xinjiang Normal University, Dr. Liu imparts his knowledge and expertise to students, fostering a new generation of researchers and professionals in the fields of cartography, remote sensing, and GIS. His teaching experience includes guiding students through complex topics such as environmental monitoring, remote sensing analysis, and geographic information system applications, emphasizing both theoretical and practical aspects.

Legacy and Future Contributions 🔮

Dr. Liu’s legacy lies in his pioneering work in the application of remote sensing for environmental monitoring in arid regions. His research has contributed to the development of more accurate techniques for assessing water quality and quantity in challenging environments. Moving forward, Dr. Liu is poised to make continued contributions to the field, with ongoing research projects that aim to refine remote sensing methodologies and improve sustainable water management practices. His future work will undoubtedly further the understanding of arid region water systems, with broad applications for resource management and environmental protection.

Top Noted Publications 📖

An Advanced Spatiotemporal Fusion Model for Suspended Particulate Matter Monitoring in an Intermontane Lake
    • Authors: Zhang, F.; Duan, P.; Jim, C.Y.; Johnson, V.C.; Liu, C.; Chan, N.W.; Tan, M.L.; Kung, H.-T.; Shi, J.; Wang, W.
    • Journal: Remote Sensing
    • Year: 2023
Determining the main contributing factors to nutrient concentration in rivers in arid northwest China using partial least squares structural equation modeling
    • Authors: Wang, W.; Zhang, F.; Zhao, Q.; Liu, C.; Jim, C.Y.; Johnson, V.C.; Tan, M.L.
    • Journal: Journal of Environmental Management
    • Year: 2023
High-Resolution Planetscope Imagery and Machine Learning for Estimating Suspended Particulate Matter in the Ebinur Lake, Xinjiang, China
    • Authors: Pan Duan; Fei Zhang; Changjiang Liu; Mou Leong Tan; Jingchao Shi; Weiwei Wang; Yunfei Cai; Hsiang-Te Kung; Shengtian Yang
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Year: 2023
Reconstruction of Sentinel Images for Suspended Particulate Matter Monitoring in Arid Regions
    • Authors: Duan, P.; Zhang, F.; Jim, C.-Y.; Tan, M.L.; Cai, Y.; Shi, J.; Liu, C.; Wang, W.; Wang, Z.
    • Journal: Remote Sensing
    • Year: 2023
Remote sensing for chromophoric dissolved organic matter (CDOM) monitoring research 2003–2022: A bibliometric analysis based on the web of science core database
    • Authors: Li, Z.; Zhang, F.; Shi, J.; Chan, N.W.; Tan, M.L.; Kung, H.-T.; Liu, C.; Cheng, C.; Cai, Y.; Wang, W. et al.
    • Journal: Marine Pollution Bulletin
    • Year: 2023

Neil Page | Atmospheric Science | Best Researcher Award

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Mr. Neil Page | Atmospheric Science | Best Researcher Award

Mr. Neil Page at University of Wollongong, Australia

👨‍🎓Professional Profile

🌱 Early Academic Pursuits

Neil Page’s academic journey reflects a strong commitment to environmental and atmospheric sciences, beginning with his undergraduate studies at Kingston University, London, where he earned a Bachelor of Environmental Science. He then pursued further studies at Queensland University of Technology, achieving a Bachelor of Applied Science before honing his expertise in atmospheric chemistry and climatology at the University of Wollongong. Through his Master’s research and the subsequent Masters of Philosophy (MPhil), Neil focused on atmospheric mercury and reactive bromine, specifically investigating their variability over coastal Antarctica and the Southern Ocean. This early academic foundation in environmental management, chemistry, and sustainability has laid a robust groundwork for his future research and professional pursuits. 

💡 Professional Endeavors

Neil’s professional career spans a broad range of roles across environmental consulting, climate science, and policy development. As a Senior Specialist at Deloitte Sustainability & Climate Change, he has worked on numerous physical climate risk assessments across various sectors, including agriculture, mining, construction, and finance. His expertise in data modelling and climate risk evaluation has helped clients assess and manage physical climate risks using advanced computational tools like GEOS-Chem and HYSPLIT. Neil’s role as a lead curator in the development of climate risk solutions, such as Deloitte Decarbonisation SolutionsTM (DDS), highlights his leadership in applying science to solve global challenges. 🏢🌐

📚 Contributions and Research Focus

Neil’s research focus is firmly entrenched in Atmospheric Chemistry, Meteorology, and Climate Science. His notable contribution to the field includes the measurement of reactive bromine and atmospheric mercury in polar regions, specifically over coastal Antarctica and the Southern Ocean. His work using ship-based observations, satellite retrievals, and back-trajectory modelling has been instrumental in understanding the factors driving atmospheric chemical variability in these sensitive regions. Furthermore, his early career research on mercury biogeochemical cycling in Australia using the GEOS-Chem model is a key example of his ability to integrate global chemical transport models with site-based observational data. Neil’s scholarly pursuits are not just limited to academia but extend to critical areas like climate change and air quality, influencing both scientific communities and policy development. 🌍🔬

🌍 Impact and Influence

Neil’s contributions extend beyond traditional research into real-world impact, notably in the area of climate change adaptation and mitigation strategies. His involvement in Australia’s national climate change risk assessment and state-wide climate risk assessments in regions like Tasmania and Northern Territory showcases his ability to translate complex climate science into actionable insights. Through his work, Neil helps shape policy frameworks and supports industries in building resilience to climate change. His leadership in big data modelling for physical climate risks further underscores his influence in shaping how companies and governments approach climate challenges. 🌡️⚖️

🧑‍🏫 Academic Cites and Research Recognition

Neil’s academic work has garnered recognition in the form of scholarships and citations in various research domains, particularly in atmospheric chemistry and environmental sustainability. His involvement in field campaigns, such as his research trip to Antarctica, not only contributed to advancing scientific knowledge but also positioned him as a respected figure in the scientific community. His work continues to be cited for its innovative methodologies and contributions to climate risk assessment and atmospheric science, with his publications influencing both academic and policy circles. 📑🌐

🖥️ Technical Skills and Tools

Neil’s technical prowess is vast and includes expertise in High-Performance Computing using platforms like NCI Gadi/Raijin. He is skilled in statistical analysis and proficient in the use of programming languages like Python, R, and Fortran, which he uses for data analysis and the development of complex climate and environmental models. His expertise extends to a wide array of modelling software, including GEOS-Chem, HYSPLIT, and AERMOD, to simulate atmospheric processes and evaluate environmental risks. His competence in Geographic Information Systems (GIS), as well as data visualisation tools like Tableau, allows him to communicate complex datasets in user-friendly formats for stakeholders across sectors. 💻📊

👨‍🏫 Teaching Experience

Beyond his professional and research endeavors, Neil has contributed to education through his role as an Academic Demonstrator at the University of Wollongong, where he assisted in practical sessions for undergraduate courses like “Earth’s Interconnected Spheres.” His teaching experience includes mentoring students, delivering practical demonstrations, and guiding students through assignments and practical works. His ability to explain complex scientific concepts to a diverse student body speaks to his excellent communication and interpersonal skills. 👨‍🏫📚

🌟 Legacy and Future Contributions

Looking ahead, Neil’s legacy will likely be defined by his continued contributions to the field of climate science, particularly in the realm of climate risk assessment and mitigation strategies. His research has the potential to influence not only environmental policy but also practical solutions for industries and communities seeking to adapt to climate change. As a specialist in the intersection of atmospheric science, data modelling, and climate resilience, Neil is positioned to make a lasting impact in shaping sustainable futures. His future contributions will continue to advance scientific understanding and provide innovative solutions to tackle some of the world’s most pressing environmental challenges.