Adriana Favacho Curty | Environmental Science | Women Researcher Award

Dr. Adriana Favacho Curty | Environmental Science | Women Researcher Award

Dr. Adriana Favacho curty | State University of Rio de Janeiro | Brazil

Dr. Adriana Favacho Curty’s research exemplifies scientific innovation in environmental and soil sciences, focusing on microplastic contamination in coastal and sandy sediments. Her postdoctoral work at Rio de Janeiro State University integrates advanced spectroscopic and X-ray techniques to develop methodologies for polymer characterization using Compton/Rayleigh scattering ratios. By combining FT-IR, Raman, and micro-XRF analyses, she establishes chemometric profiles that link plastic morphotypes to elemental compositions, contributing to the understanding of microplastic-metal interactions and their ecological implications. Her studies bridge environmental engineering, physics, and marine ecology, supporting the creation of standardized protocols for sampling, extraction, and quantification of microplastics in coastal environments. Through collaborative work at BIOTEMA and LIETA laboratories, she enhances analytical precision in assessing contamination pathways and pollutant adsorption mechanisms. Her publications and presentations in prominent scientific platforms demonstrate a consistent effort to improve methodologies for environmental risk evaluation and marine pollution monitoring. Beyond her experimental research, her consultancy experience in environmental and infrastructure projects strengthens her applied perspective on sustainable urban and coastal management. Dr. Curty’s contributions significantly advance the scientific understanding of plastic pollution and its integration into soil and aquatic systems, reinforcing the global framework for sustainable coastal ecosystem management.

Profile:  Orcid

Featured Publications

Curty, A. F., Tsuyama, F., Cunha, P. M. O. M., Anjos, M. J., & Salomão, A. L. S. (2025, October 29). Metals’ adsorption onto environmental microplastics at shoreline sediments. X-Ray Spectrometry. Advance online publication.

Abhijeet Das | Data Science | Best Researcher Award

Dr. Abhijeet Das | Data Science | Best Researcher Award

Dr. Abhijeet Das | C. V. Raman Global University | India

Dr. Abhijeet Das is a research consultant specializing in water resources and GIS, with extensive expertise in hydrological modeling, environmental assessment, and spatial analysis. His academic and research contributions focus on surface water quality, pollution vulnerability, and sustainable water management across major Indian river basins such as the Mahanadi, Brahmani, and Baitarani. He has authored 94 research documents and received 256 citations across 130 referencing works, reflecting his growing academic impact and research visibility. His h-index of 9 underscores his consistent scholarly contributions and influence in environmental geoinformatics, water quality modeling, and GIS-integrated decision systems. Dr. Das’s research integrates artificial intelligence, machine learning, and remote sensing to advance predictive models for hydrological vulnerability and environmental sustainability. His innovative methodologies for water quality mapping, pollution source apportionment, and spatial decision support have supported both academic advancements and applied water governance frameworks. Through numerous international collaborations and conference presentations, his work has contributed to global initiatives aligned with the Sustainable Development Goals, particularly SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action), promoting scientific innovation for sustainable resource management.

Profile:  Scopus 

Featured Publications

  • Das, A. (2025). Drinking water resources suitability assessment in Brahmani River, Odisha based on pollution index of surface water utilizing advanced water quality methods. Scientific Reports.

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

  • Das, A., & Mishra, S. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment.