Zheng Li | Environmental Science | Best Researcher Award

Dr. Zheng Li | Environmental Science | Best Researcher Award

Dr. Zheng Li, College of environmental sciences and engineering, China

Dr. Zheng Li is a Research Associate at the School of Environmental Sciences and Engineering, Peking University. His expertise lies in environmental planning and management, with a strong research focus on water pollution control, environmental risk assessment, and pollutant migration. He has authored 10 SCI-indexed papers in leading journals such as Journal of Hydrology, Ecotoxicology and Environmental Safety. His research integrates machine learning, neural networks, and isotope tracing to advance environmental sustainability. Dr. Li’s contributions in watershed hydrology and water quality simulation have significantly impacted pollution control strategies. 🌍🔬

Publication Profile

Orcid

Education 🎓

Dr. Zheng Li earned his PhD in Environmental Science from Peking University, specializing in environmental planning, pollution control, and hydrological modeling. His doctoral research focused on heavy metal migration and transformation in sediment-water interfaces. He completed his Master’s in Environmental Engineering with an emphasis on ecological risk assessment and water quality management. His undergraduate studies in Environmental Science and Engineering provided a strong foundation in sustainable development, pollution modeling, and environmental impact assessment. Throughout his academic journey, he has combined theoretical knowledge with practical applications, producing research that influences policy and environmental conservation efforts. 📚🌱

Experience 🏢

Dr. Zheng Li has extensive research experience in environmental risk assessment, hydrological modeling, and heavy metal pollution control. As a Research Associate at Peking University, he has led studies on pollutant behavior, ecological risk assessment, and machine learning applications in water management. He has collaborated on government and industry-funded projects focusing on climate change impact on water ecosystems. His work integrates neural network models and deep learning techniques for predicting pollution trends and mitigation strategies. His experience spans laboratory research, field studies, and policy advising, contributing to sustainable environmental management practices. 🌊🔍

Research Focus 🔬

Dr. Zheng Li specializes in environmental planning, pollution control, and risk assessment. His research explores the migration and transformation of pollutants, with a particular emphasis on heavy metals and their ecological impacts. He employs machine learning, neural networks, and isotope tracing to model pollution trends and hydrological changes. His work contributes to climate change adaptation strategies, watershed management, and sustainable environmental policies. Dr. Li is committed to developing AI-driven predictive models for pollution risk assessment and mitigation planning, ensuring a cleaner and healthier environment. 🌏♻️

Publication Top Notes

  • “Nutrient Release to Qinghai Lake from Buffer Zone Evolution Driven by Climate Change”Journal of Hydrology, June 2025.

  • “Climate Change Driven Land Use Evolution and Soil Heavy Metal Release Effects in Lakes on the Qinghai-Tibet Plateau”Science of The Total Environment, January 2025.

  • “Principles of Terrestrial Water Distribution Patterns and the Role of Soil Hydraulic Properties”CATENA, April 2024.

  • “The Interaction Between Nutrients and Heavy Metals in Lakes and Rivers Entering Lakes”Ecological Indicators, April 2024.

  • “Adsorption and Desorption of Heavy Metals at Water-Sediment Interface Based on Bayesian Model”Journal of Environmental Management, March 2023.

  • “Spatial Distribution, Ecological Risk, and Human Health Assessment of Heavy Metals in Lake Surface Sections — A Case Study of Qinghai Lake, China”Environmental Science and Pollution Research, January 2023.

  • “Temporal and Spatial Distribution and Fluorescence Spectra of Dissolved Organic Matter in Plateau Lakes: A Case Study of Qinghai Lake”Water, December 2021.

  • “Plateau River Research: Spatial-Temporal Variations of δ18O and δD in the Water of the Yarlung Tsangpo River and Their Controlling Factors”Ecotoxicology and Environmental Safety, January 2021.

  • “Water Environment in the Tibetan Plateau: Heavy Metal Distribution Analysis of Surface Sediments in the Yarlung Tsangpo River Basin”Environmental Geochemistry and Health, August 2020.

  • “Plateau River Research: Ecological Risk Assessment of Surface Sediments in the Yarlung Tsangpo River”Environmental Science and Pollution Research, February 2020.

Ginevra Addis | sustainability | Best Researcher Award

Dr. Ginevra Addis | sustainability | Best Researcher Award

Research Fellow, UNIMIB, Italy

Ginevra Addis is an accomplished Adjunct Professor specializing in Contemporary Art Management at Università Cattolica del Sacro Cuore (UCSC) in Milan. With a dynamic career in academia and cultural heritage, she bridges the gap between art and enterprise. Ginevra is also the co-founder and Director of In.A.Hub, a non-profit organization dedicated to connecting contemporary art with innovative business practices. Her expertise extends to curating art exhibitions in Italy and Switzerland and working with global institutions like the United Nations and UNESCO. 🌍✨

Publication Profile

ORCID

🎓 Education

Ginevra holds a Ph.D. in Analysis and Management of Cultural Heritage from the IMT School for Advanced Studies, Lucca, obtained in 2019. She was a Visiting Ph.D. candidate at Humboldt Universität zu Berlin in 2018. She also earned an M.A. in Economics and Management of Art, Culture, and Entertainment from UCSC, Milan. 🎨📘

💼 Experience

Since 2017, Ginevra has been an Adjunct Professor at UCSC, contributing to courses on Project Management and Contemporary Art Systems. She has collaborated with the Department of History, Archaeology, and Art History at UCSC since 2014. She has curated multiple art exhibits, worked as an art consultant, and partnered with non-profit organizations like More Art in NYC. 🌟

🔬 Research Interests

Her research delves into American Abstract Expressionism, the Italian re-evaluation of Pop Art, the Eighties art scene, and artists like Jean-Michel Basquiat. She also examines Italian, German, and Russian Abstract Art, neuroscience in contemporary curatorship, and globalization’s impact on art systems. Additionally, she studies the South African art market and Russian art trends of the 20th century. 🌍🖌️

🏆 Awards

Ginevra has earned accolades for her work in academia and art curation, particularly through her impactful contributions to the intersection of contemporary art and global systems. 🏅

📚 Publications

The Re-identification of Pop Art: Its Reception from an Italian Perspective
Published Year: 2021
Publisher: European Press Academic Publishing
Cited by: Referenced in academic texts exploring the cultural dynamics of Pop Art reception.

Khizar Abbas | Environmental Policy | Young Scientist Award

Dr. Khizar Abbas | Environmental Policy | Young Scientist Award

Dr. Khizar Abbas, China Universioty of Geosciences, China

Dr. Khizar Abbas is a distinguished scholar with a Ph.D. in Applied Economics from China University of Geosciences. His research focuses on the synergistic and individual contributions of rare earth elements and renewable energy to economic complexity and green growth. As a Boya Post-doctoral Fellow at Peking University, he examines sustainable utilization of rare earth elements and critical raw material supply chains. Dr. Abbas has held teaching positions at the University of Central Punjab and contributed significantly to the field of energy economics with numerous publications and awards. 🏆📊

Publication profile

Scopus

Orcid

🎓 Education

Khizar Abbas holds a Ph.D. in Applied Economics from China University of Geosciences, Wuhan, with a GPA of 3.85/4.0 (2024). His thesis focused on the economic complexity of rare earth elements and renewable energy. He also earned an M.A. in Public Administration from the same university (2020), and a B.A. in Political Science from Government College University, Lahore (2016).

🔬 Research Experience

Khizar is a Boya Post-doctoral Fellow at Peking University, focusing on sustainable utilization of rare earth elements. His research covers resource economics, energy policy, and causal inference.

📚 Teaching Experience

He served as a Senior Lecturer at the University of Central Punjab, Lahore, teaching Public Administration, Political Science, and Pakistan Studies.

🏆 Awards and Honours

He is a recipient of the Chinese Government Scholarship and has been recognized as an Outstanding International Graduate. He also received the High-Quality Academic Publication Award.

Research Focus

Khizar Abbas’s research focuses on the intersection of renewable energy, rare earth elements, and economic complexity in promoting sustainable development. His work spans various aspects of energy consumption, economic growth, and environmental impacts. Abbas has investigated the causal effects of renewable energy and mineral resources on economic complexity, the optimization of energy consumption, and the implications of energy poverty. His contributions include using machine learning for well log analysis and exploring the health impacts of household air pollution on women. Overall, his research aims to inform policies for achieving a low-carbon future and sustainable economic development. 🌍🔋📊

 

Publication Top Notes

 

Forecasting synergistic pathways between rare earth elements, renewable energy, and product and economic complexities in achieving a low-carbon future

Journal of Environmental Management | 2024-08 | DOI: 10.1016/j.jenvman.2024.121578 | Contributors: Khizar Abbas, Shisi Zou, Deyi Xu, Khalid Manzoor Butt, Qing Han, Khan Baz, Jinhua Cheng, Yongguang Zhu, Sanwal Hussain Kharl | 🌍🔋📈
Exploring synergistic and individual causal effects of rare earth elements and renewable energy on multidimensional economic complexity for sustainable economic development

Applied Energy | 2024-06 | DOI: 10.1016/j.apenergy.2024.123192 | Contributors: Khizar Abbas, Mengyao Han, Deyi Xu, Khalid Manzoor Butt, Khan Baz, Jinhua Cheng, Yongguang Zhu, Sanwal Hussain | 🌐🔋📊
Dynamic prognostic interaction between social development and energy consumption optimization: Evidence from European Union member countries

Energy | 2023-09 | DOI: 10.1016/j.energy.2023.127791 | Contributors: Khizar Abbas, Khalid Manzoor Butt, Deyi Xu, Khan Baz, Muhammad Sheraz, Sanwal Hussain Kharl | 🌍📉🔌
A Novel Machine Learning Approach for Detecting Outliers, Rebuilding Well Logs, and Enhancing Reservoir Characterization

Natural Resources Research | 2023-06 | DOI: 10.1007/s11053-023-10184-6 | Contributors: Muhammad Ali, Peimin Zhu, Ma Huolin, Heping Pan, Khizar Abbas, Umar Ashraf, Jar Ullah, Ren Jiang, Hao Zhang | 🤖🛢️📊
Measures of Energy Destitution: A New Complemented Methodology

Journal of Humanities and Social Sciences | 2023-06-03 | Contributors: Khizar Abbas, Deyi Xu | 📉🏠🌍
Effect of mineral resource complexity and fossil fuel consumption on economic growth: A new study based on the product complexity index from emerging Asian economies

Energy | 2022-12 | DOI: 10.1016/j.energy.2022.125179 | Contributors: Khan Baz, Deyi Xu, Jinhua Cheng, Yongguang Zhu, Sun Huaping, Hashmat Ali, Khizar Abbas, Imad Ali | ⛏️📉🔌
Nexus of minerals-technology complexity and fossil fuels with carbon dioxide emission: Emerging Asian economies based on product complexity index

Journal of Cleaner Production | 2022-11 | DOI: 10.1016/j.jclepro.2022.133703 | Contributors: Khan Baz, Deyi Xu, Hashmat Ali, Uzma Khan, Jinhua Cheng, Khizar Abbas, Imad Ali | 🌐📊🛢️
Investigating global surface temperature from the perspectives of environmental, demographic, and economic indicators: Current status and future temperature trend

Environmental Science and Pollution Research | 2022-10-28 | DOI: 10.1007/s11356-022-23590-9 | Contributors: Mansoor Ahmed, Huiling Song, Hussain Ali, Chuanmin Shuai, Khizar Abbas, Maqsood Ahmed | 🌍📊🔥
Unveiling China’s Overseas Photovoltaic Power Stations in Pakistan under Low-Carbon Transition

Land | 2022-10-04 | DOI: 10.3390/land11101719 | Contributors: Mengyao Han, Jun Tang, Abdul Karim Lashari, Khizar Abbas, Hui Liu, Weidong Liu | 🇨🇳🔋🇵🇰
Measurements and determinants of extreme multidimensional energy poverty using machine learning

Energy | 2022-07 | DOI: 10.1016/j.energy.2022.123977 | Contributors: Khizar Abbas | 🤖📉🏠