Abhijeet Das | Environmental Studies | Best Research Article Award

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Dr. Abhijeet Das | Environmental Studies | Best Research Article Award

Research Consultant | Chandrasekhara Venkata Raman Global University | India

Dr. Abhijeet Das, currently serving as a Project Consultant at Madhu Smita Design & Engineers Studio, is an accomplished civil and water resources engineering professional with a strong academic and research background. He holds a Ph.D. in Water Resources Engineering from C.V. Raman Global University, along with an M.Tech and B.Tech in Civil Engineering from BPUT, Rourkela. With over ten years of diverse experience across consultancy, academia, and research, Dr. Das has led and contributed to numerous national and international projects in hydrological modeling, watershed hydrology, surface water assessment, GIS and remote sensing, and machine learning applications in water resources. His research emphasizes climate change impact analysis, geoinformatics, environmental sustainability, and simulation-optimization modeling. A prolific contributor to scientific advancement, he holds multiple patents and has been recognized with prestigious awards such as the Inspiring Educator Award and several Best Project Awards for his innovative work in machine learning and water quality assessment. Dr. Das has presented as an invited speaker at globally reputed conferences in Vienna, Berlin, Rome, Singapore, Amsterdam, and Osaka. He actively engages in academic development through regular participation in international workshops, faculty development programs, and short-term training courses. His scholarly output includes, 205 citations 89 documents, and an h-index of 8, reflecting his impactful contributions to the field of civil and environmental engineering.

Profiles:  Scopus | ORCID

Featured Publications

1. An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. (2025). Discover Environment.

2. Reimagining biofiltration for sustainable industrial wastewater treatment. (2025).

3. A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. (2025). Discover Sustainability.

4. Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. (2025). Desalination and Water Treatment.

5. Bioplastics: a sustainable alternative or a hidden microplastic threat? (2025). Innovative Infrastructure Solutions.

Haijiang Yang | Ecosystem Services | Best Researcher Award

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Assoc. Prof. Dr. Haijiang Yang | Ecosystem Services | Best Researcher Award

Associate Professor at Lanzhou University, China

Dr. Haijiang Yang is an Associate Professor at the College of Earth and Environmental Sciences, Lanzhou University, with a focus on ecosystem services assessment and modeling, human-environment interactions, and regional sustainable development. His academic contributions span interdisciplinary environmental studies, combining geography, ecology, and socio-economic evaluation to drive science-based policy-making and ecological restoration strategies.

Professional Profile

ORCID

Education

Dr. Yang pursued his academic journey through a series of progressive and specialized degrees in geographical and environmental sciences. He earned his Ph.D. in Geography from Lanzhou University, where he laid the foundation for his research in ecosystem services and socio-ecological systems. Prior to this, he completed his Master’s degree in Physical Geography at Ningxia University, focusing on land use, soil properties, and regional environmental changes. His undergraduate studies in Geographical Science at Weinan Normal University provided him with a strong grounding in environmental analysis and spatial modeling.

Experience

Dr. Yang’s academic career advanced swiftly through rigorous postdoctoral research and faculty appointments. He served as a Cuiying Postdoctoral Fellow at Lanzhou University, engaging in high-impact studies on ecosystem services in fragile mountainous regions. He was appointed as Associate Professor in the same institution, where he continues to contribute to both teaching and research. Over the past five years, he has led or participated in numerous national and provincial projects, including a National Natural Science Foundation grant investigating spatiotemporal evolution of water supply services and socio-ecological value mechanisms in the Qilian Mountains, and a prestigious China Postdoctoral Fellowship on the coupling effects of climate and land use change.

Research Focus

Dr. Yang’s research focuses on the assessment, valuation, and modeling of ecosystem services in ecologically sensitive areas, particularly in the Qilian Mountains and the broader Yellow River Basin. His work incorporates spatial analysis, socio-ecological modeling, and sustainability science to explore themes such as spillover effects of ecosystem services, cost-benefit sharing, horizontal ecological compensation, and human well-being. He has also investigated land use impacts, biodiversity-climate interactions, and resource efficiency in agricultural and pastoral systems. Through these research areas, he aims to offer scientific support for environmental planning, ecological restoration, and regional sustainable development strategies in China’s western regions.

Publication Top Notes

Title: Assessing Pollinator Abundance and Services in the Qilian Mountains: A Spatial and Temporal Analysis from 1990 to 2020 for Enhanced Agricultural Sustainability and Crop Yield Optimization
Authors: Yang, H.; Gou, X.; Niu, Y.; Shi, W.; Wang, X.; Wei, Y.; Maraseni, T.
Journal: SSRN
Summary: This study investigates changes in pollinator abundance and ecosystem services in the Qilian Mountains from 1990 to 2020. It highlights spatial and temporal patterns and links pollinator dynamics to agricultural sustainability and crop yield improvements. The findings offer policy insights for biodiversity conservation and agroecological planning in mountainous regions.

Title: Increasing Deep Soil Water Uptake During Drought Does Not Indicate Higher Drought Resistance
Authors: Yin, D.; Gou, X.; Liu, J.; Zhang, D.; Wang, K.; Yang, H.
Journal: Journal of Hydrology 
Summary: This research challenges the assumption that deep soil water uptake enhances drought resistance in plants. Using tree-ring and isotopic data, the study reveals that although trees may access deep water during drought, this does not guarantee improved growth or resilience, emphasizing the need to rethink forest management strategies under climate change.

Title: Response of Tree Growth to Drought Variability in Arid Areas: Local Hydroclimate and Large-Scale Precipitation
Authors: Zhang, Y.; Gou, X.; Wang, T.; Zhang, F.; Wang, K.; Yang, H.; Yang, K.
Journal: Environmental Research
Summary: This study examines how local and regional precipitation patterns influence tree growth in arid zones. The results show that local hydroclimatic variability plays a more significant role than large-scale climatic drivers, providing insight into ecosystem sensitivity in drylands.

Title: The Sino-US Trade Friction Would Exacerbate Global Inequalities in Achieving SDGs
Authors: Ma, W.; Li, C.; Kou, J.; Wang, X.; Yang, H.; Xue, B.; Gou, X.
Journal: Journal of Cleaner Production
Summary: This article evaluates how Sino-US trade tensions could hinder progress toward the Sustainable Development Goals (SDGs). It underscores how economic disputes may disproportionately affect developing regions, amplifying global disparities in environmental and socio-economic sustainability.

Title: Elevation-Dependent Tree Growth Response to Recent Warming and Drought on Eastern Tibetan Plateau
Authors: Yin, D.; Gou, X.; Yang, H.; Wang, K.; Liu, J.; Zhang, Y.; Gao, L.
Journal: Climatic Change 
Summary: The study analyzes tree growth patterns in response to warming and drought across elevation gradients in the eastern Tibetan Plateau. It finds that high-elevation forests exhibit stronger growth sensitivity to climatic shifts, highlighting their vulnerability and importance for regional climate adaptation strategies.

Conclusion

Dr. Haijiang Yang stands out as a dynamic and impactful researcher in the domains of ecosystem services, land use sustainability, and regional socio-ecological resilience. Through his deep understanding of geography and environmental systems, he has produced a body of work that informs both academic scholarship and public policy. His leadership in national research projects, high-quality publications in influential journals, and commitment to interdisciplinary integration make him a deserving candidate for recognition as a Best Researcher. His work not only advances scientific frontiers but also addresses some of the most pressing ecological challenges facing China’s mountainous and agricultural regions today.

Maryam Mohammadi | Environmental Studies | Zoology Honour Awards

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Dr. Maryam Mohammadi | Environmental Studies | Zoology Honour Awards

Researcher at Kashan university, Iran

Maryam Mohammadi is a dedicated researcher in the field of Physical Chemistry, specializing in computational chemistry and nanomaterials. With a decade-long academic journey, she has developed a passion for exploring the molecular-level interactions of materials through Density Functional Theory (DFT) and molecular dynamics simulations. Her research delves into the quantum behavior of advanced materials like black phosphorene and boron nitride nanotubes, with applications in environmental sensing and nanotechnology. In addition to her academic pursuits, she has teaching experience at both the university and high school levels, empowering the next generation of scientists. Maryam is multilingual, fluent in Persian, Kurdish, and proficient in English, and she continuously updates her skills through scientific workshops and self-learning. With published research in leading ISI journals and recognition as a Young Scientist Awards Candidate, she embodies the profile of a promising and impactful early-career researcher.

Professional Profiles📖

Google Scholar

🎓 Education 

Maryam Mohammadi’s academic path reflects a deep commitment to the sciences, particularly chemistry. She earned her Ph.D. in Physical Chemistry from the University of Kashan in 2023, focusing on computational chemistry and nanomaterials. Her doctoral studies emphasized advanced simulation techniques and theoretical analysis, laying a strong foundation for independent research. She previously obtained her M.Sc. in Physical Chemistry from the same university in 2013, where she began developing her skills in molecular modeling and physical theory. Her academic journey began with a B.Sc. in Applied Chemistry from the University of Isfahan in 2011, where she acquired a robust understanding of analytical, inorganic, and physical chemistry. Throughout her studies, Maryam maintained a strong academic record and participated in scientific activities and workshops, further enriching her practical and theoretical expertise. Her educational background uniquely positions her at the intersection of chemistry, physics, and computational science.

🏗 Experience 

Maryam has over a decade of experience in academia and research. Her expertise spans computational chemistry, materials science, and physical chemistry, with a strong focus on DFT-based simulations. She presented her first major scientific work in 2013 at the 16th Iranian Conference on Physical Chemistry, showcasing molecular dynamics simulations of amino acid interactions with boron nitride nanotubes. Since then, her work has evolved into high-impact research on black phosphorene, with recent ISI publications exploring its adsorption properties and sensing capabilities. As a university lecturer, Maryam has taught Physical Chemistry and General Chemistry I & II, imparting knowledge to undergraduate students. She also served as a high school chemistry instructor, demonstrating her versatility and dedication to science education. Her research experience is complemented by proficiency in several computational tools and an ability to work across interdisciplinary areas, combining chemistry, physics, and material science in meaningful ways.

🏆 Awards & Honors 

Maryam Mohammadi has been recognized for her academic potential and contributions to scientific research. Notably, she was selected as a Young Scientist Awards Candidate by the Applied Surface Science Journal, an honor that reflects her growing impact in the field of surface chemistry and nanomaterials. She was also acknowledged as a Zoology Honour Awards Candidate by the same journal, which suggests interdisciplinary relevance and scientific excellence. In addition to these accolades, she holds a Teaching Certificate from the Isfahan Teacher Training Center, showcasing her commitment to education and professional development. Maryam has participated in multiple scientific workshops, where she received certifications that enhanced her technical and research skills. These achievements affirm her status as a rising researcher and educator, with recognition both from academic institutions and respected scientific communities.

🔬 Research Focus

Maryam’s research is centered on computational modeling of nanomaterials, with a specific emphasis on Density Functional Theory (DFT) and molecular dynamics simulations. Her recent studies investigate the adsorption of pollutants and aromatic molecules on black phosphorene surfaces—a novel material with potential applications in chemical sensing and environmental monitoring. She also explores how strain and charge manipulation can enhance the sensitivity and selectivity of nanomaterials, contributing to the development of next-generation sensors. Her work with boron nitride nanotubes and amino acids further demonstrates her versatility in both biological and inorganic systems. By integrating computational tools such as Gaussian, Quantum Espresso, and Materials Studio, she models atomic-level interactions to predict real-world chemical behavior. Her research bridges theory and application, aiming to contribute to sustainable technologies and novel material innovations.

🛠 Skills 

Maryam possesses a strong suite of technical and analytical skills, particularly in computational and theoretical chemistry. She is proficient in industry-standard software such as Gaussian, Quantum Espresso, Materials Studio, DL-Poly, and Origin, as well as operating within Linux environments. She applies Density Functional Theory (DFT) and molecular dynamics simulations to explore molecular behavior and material properties. Additionally, she is well-versed in Bader and Mulliken Charge Analysis, the DFT-D2 dispersion correction method, and data visualization techniques. Her command of Microsoft Office and general data management software supports her research documentation and reporting tasks. Beyond research, her teaching experience shows effective communication and curriculum development skills. Maryam’s ability to merge computational expertise with strong theoretical foundations enables her to tackle complex scientific challenges with precision and creativity.

Publications Top Notes📚

🔬 Adsorption of aromatic molecules on a black phosphorene surface: a first-principles study
Authors: M. Mohammadi, Z. Tavangar
Journal: New Journal of Chemistry, Vol. 47, Issue 4, pp. 1842–1851
Year: 2023
Citations: 3

🌍 Effect of strain and charge injection on pollutant molecule sensing using black phosphorene: A DFT study
Authors: M. Mohammadi, Z. Tavangar
Journal: Applied Surface Science
Status: In Press
Year: Expected 2025
Citations: Not yet available

🧬 Molecular Dynamic Simulation of Amino Acids Interaction with Zigzag Boron Nitride Nanotube
Authors: Z. Tavangar, M. Mohammadi
Conference: 16th Iranian Conference on Physical Chemistry (Poster Presentation)
Year: 2013
Citations: Not indexed (conference abstract)