Aminur Rahman | Heavy Metal Removal | Best Researcher Award

Dr. Aminur Rahman | Heavy Metal Removal | Best Researcher Award

Assistant Professor at King Faisal University | Bangladesh

Dr. Aminur Rahman is a leading researcher in environmental biotechnology and microbiology, recognized for impactful work on heavy metal bioremediation, wastewater treatment, and antimicrobial resistance. His research integrates microbial genomics, bio-based adsorbents, and sustainable technologies to address critical environmental and public health challenges. With 40 peer-reviewed publications, 797 citations, and an h-index of 16 (Scopus), his scholarly contributions demonstrate strong productivity, quality, and global relevance. His work has advanced eco-friendly remediation strategies and informed applied solutions for contaminated water systems, positioning him as a highly deserving candidate for the Best Researcher Award.

Citation Metrics (Scopus)

800

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Citations
797

Documents
40

h-index
16

Featured Publications


Bioremediation of hexavalent chromium (VI) by a soil-borne bacterium, Enterobacter cloacae B2-DHA

Journal of Environmental Science and Health, Part A, 2015 · 85 citations


Biosorption of nickel by Lysinibacillus sp. BA2 native to a bauxite mine

Ecotoxicology and Environmental Safety, 2014 · 73 citations


Isolation and characterization of a Lysinibacillus strain B1-CDA showing potential for arsenic bioremediation

Journal of Environmental Science and Health, Part A, 2014 · 72 citations

Abhijeet Das | Hydrology | Best Industrial Research Award

Dr. Abhijeet Das | Hydrology | Best Industrial Research Award

Project Consultant at C. V. Raman Global University | India

Dr. Abhijeet Das is a researcher specializing in Civil and Water Resource Engineering with expertise in watershed hydrology, hydrological modeling, climate change impact assessment, and geoinformatics. He earned his Ph.D. in Water Resource Engineering from C.V. Raman Global University, Bhubaneswar, following an M.Tech and B.Tech in Civil Engineering from Biju Patnaik University of Technology, Rourkela. With over ten years of cumulative professional experience, he has served in academia and consultancy, including roles at IGIT Sarang, CET Bhubaneswar, and Madhu Smita Design & Engineers Studio, Kolkata. His research encompasses hydrologic extremes, water quality management, and the integration of machine learning with GIS for sustainable resource planning. Dr. Das has collaborated internationally on multiple projects across Tunisia, the USA, Oman, the UK, South Africa, Syria, and Lebanon, addressing water quality, surface water management, and remote sensing applications. He has authored 89 research documents indexed in Scopus, receiving 217 citations with an h-index of 8. His scholarly output includes numerous conference presentations, books such as Futuristic Trends in Construction Materials & Civil Engineering and Waste Water Management, and several patents on AI- and IoT-based environmental technologies. Recognized globally, Dr. Das has received awards including the “Research Excellence Award-2024” and “Asia’s Most-Promising Researcher Award” for his contributions to water resource engineering. His work reflects a strong commitment to advancing hydrological research, sustainable water management, and interdisciplinary innovation.

Profile: Scopus | ORCID 

Feautured Publilcations

Das, A. (2025). Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis. Desalination and Water Treatment, 323, 1304–1319.

Das, A. (2025). Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India). Environmental Monitoring and Assessment, 197(6), 629.