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

500

250

50

0

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

Muhammad Ateeq | Remote Sensing | Excellence in Research Award

Mr. Muhammad Ateeq | Remote Sensing | Excellence in Research Award

Aerospace Information Research Institute Chinese Academy of Sciences | China

Mr. Muhammad Ateeq’s research integrates computer science, machine learning, and remote sensing to deliver scalable, data-driven solutions for Earth observation and energy planning. His work advances multi-sensor data fusion, image segmentation, and environmental change detection, with strong emphasis on computational rigor and real-world applicability. A notable contribution is his scenario-based spatial assessment framework for hybrid solar–wind energy systems, combining geospatial analytics with techno-economic modeling to support resilient renewable infrastructure planning. His research also extends to deep learning–based plant disease detection, demonstrating high-accuracy classification using transfer learning, and to network security analysis in next-generation communication systems. Collectively, these works highlight methodological versatility and cross-domain relevance. As reflected in his ORCID profile, he has 2 indexed journal publications, an emerging h-index, and a growing citation record, underscoring increasing scholarly visibility and impact.

Citation Metrics

100

50

25

10

0

Citations
50

Documents
5

h-index
2

Mudassir Hussain Tahir | Pyrolysis | Best Researcher Award

Dr. Mudassir Hussain Tahir | Pyrolysis | Best Researcher Award

Associate Professor at Nanjing Forestry University | China

Dr. Mudassir Hussain Tahir is a highly accomplished researcher whose prolific scientific contributions and multidisciplinary impact make him an exceptional candidate for the Best Researcher Award. With 2,411 citations, 119 peer-reviewed publications, and an impressive Scopus h-index of 27, he has established a strong global research footprint in biomass thermochemical conversion, catalytic pyrolysis, heterogeneous catalyst development, sustainable hydrogen-rich syngas production, CO₂ adsorption, bio-based chemical synthesis, and machine-learning-assisted materials discovery. His work has advanced fundamental understanding of pyrolysis kinetics, reactor design, catalyst–feedstock interactions, and waste-to-energy pathways, leading to high-value bio-oils, green chemicals, and sustainable aviation fuel precursors. He has published influential articles in leading journals such as Energy & Fuels, Bioresource Technology, Fuel, International Journal of Hydrogen Energy, Journal of Analytical and Applied Pyrolysis, ACS Omega, and Applied Thermal Engineering, covering both experimental innovation and computational materials design. His research also integrates advanced data-driven methodologies for designing organic semiconductors, dyes, polymers, and photovoltaic materials, positioning him at the frontier of clean energy materials research. In addition to his extensive publication record, he has served as Guest Editor and Review Editor for reputable journals, reflecting strong leadership and recognition within the scientific community. His contributions span renewable energy, waste valorization, catalysis, environmental sustainability, and predictive materials chemistry, demonstrating both depth and breadth in research excellence. Dr. Tahir’s sustained scholarly productivity, high citation impact, and transformative contributions to biomass energy and materials innovation exemplify the qualities of a distinguished and forward-thinking scientist, making him thoroughly deserving of the Best Researcher Award.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

Gajanan Dattarao Surywanshi | Life Cycle Assessment | Editorial Board Member

Dr. Gajanan Dattarao Surywanshi | Life Cycle Assessment | Editorial Board Member

Researcher at Research Institute of Sweden | Sweden

Dr. Gajanan Dattarao Surywanshi is an accomplished researcher with strong expertise in advanced process simulations, chemical-looping combustion, carbon capture, negative-emission technologies, and thermochemical energy systems. His research integrates Aspen Plus modeling, techno-economic assessment, and life cycle analysis to develop energy-efficient and environmentally sustainable solutions for next-generation power, heat, and fuel production. With a proven publication record reflected in 245 citations, 12 Scopus-indexed documents, and an h-index of 9, he has consistently contributed impactful work to high-quality journals including Applied Energy, Energy Technology, Fuel Processing Technology, and the Journal of Environmental Chemical Engineering. His contributions encompass modeling of chemical-looping combustion plants, CO₂ utilization pathways, multigeneration systems, and biogenic residue gasification, addressing global priorities in clean energy and carbon-negative technologies. Beyond publications, his involvement in collaborative EU-funded and industrial research projects demonstrates his strong capacity for interdisciplinary teamwork and scientific leadership. His patented innovation-a multiphase continuous-flow microreactor for process intensification-highlights his ability to translate research insights into practical engineering advancements. With experience in supervising students, conducting complex simulations, and executing full-cycle research activities from conceptualization to evaluation, he brings a comprehensive understanding of both scientific depth and practical relevance. His balanced academic rigor, analytical strength, and proven research impact make him highly suitable for an Editorial Board Member role, where his ability to critically evaluate manuscripts, identify emerging research trends, and uphold high scholarly standards would significantly contribute to the advancement of scientific publishing.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

Surywanshi, G. D., Pillai, B. B. K., Patnaikuni, V. S., Vooradi, R., & Anne, S. B. (2019). 4-E analyses of chemical looping combustion based subcritical, supercritical and ultra-supercritical coal-fired power plants. Energy Conversion and Management. Cited by: 60

Sikarwar, S. S., Surywanshi, G. D., Patnaikuni, V. S., & others. (2020). Chemical looping combustion integrated Organic Rankine Cycled biomass-fired power plant – Energy and exergy analyses. Renewable Energy. Cited by: 55

Pillai, B. B. K., Surywanshi, G. D., Patnaikuni, V. S., Anne, S. B., & Vooradi, R. (2019). Performance analysis of a double calcium looping-integrated biomass-fired power plant: Exploring a carbon reduction opportunity. International Journal of Energy Research. Cited by: 33

Surywanshi, G. D., Patnaikuni, V. S., Vooradi, R., & Anne, S. B. (2021). 4-E and life cycle analyses of a supercritical coal direct chemical looping combustion power plant with hydrogen and power co-generation. Energy. Cited by: 31

Surywanshi, G. D., Patnaikuni, V. S., Vooradi, R., & Kakunuri, M. (2021). CO₂ capture and utilization from supercritical coal direct chemical looping combustion power plant – comprehensive analysis of different case studies. Applied Energy. Cited by: 24

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.