Habibullah Abbasi| Climate | Best Researcher Award

Posted on by ScienceFather

Habibullah Abbasi|Climate|Best |Researcher Award

Professor, Centre for Environmental Sciences University of Sindh

Dr. Habibullah U. Abbasi is a Pakistani environmental scientist specializing in atmospheric environment and remote sensing. He serves as an Assistant Professor at the University of Sindh, Jamshoro, focusing on climate modeling, environmental impact assessment, and geospatial analysis. His research explores Earth’s surface monitoring through satellite data, emphasizing global and regional environmental changes. Dr. Abbasi has authored numerous research papers on land-use changes, groundwater assessment, and climate impact analysis. With expertise in GIS, remote sensing, and environmental modeling, he contributes significantly to sustainable environmental solutions.

profile

scholar

🎓 Education

Ph.D. (2008-2011) in Environmental Sciences, University of Sindh Jamshoro, specializing in Remote Sensing, Analytical Hierarchy Process (AHP), and Environmental Impact Assessment (EIA)M.Phil. (2005-2007) in Environmental Sciences, University of Sindh Jamshoro, focusing on Remote Sensing, GIS, and EIA.B.CIT(20002004)inComputer&InformationTechnology, University of Sindh Jamshoro. Short Courses & Training:

💼 Experience

Assistant Professor (2015-Present), Center for Environmental Sciences, University of Sindh, Jamshoro.Assistant Professor (2013-2015), Sindh Madressatul Islam University (SMIU), Karachi.Visiting Scholar (2013-2014), Center for Environmental Sciences, University of Sindh, Jamshoro.Assistant Professor (2012-2013), Energy & Environment Engineering Department, QUEST, Nawabshah.

🏆 Awards & Honors

Recognized for significant research contributions in environmental sciences. Recipient of various academic and research grants.Acknowledged for excellence in GIS-based environmental assessment. Contributions in climate modeling and satellite-based environmental analysis.

🔬 Research Focus

Atmospheric Environment & Climate Modeling – Studying global and regional environmental changes.Remote Sensing & GIS – Analyzing land-use changes and environmental impact.Hydrological & Groundwater Studies – Assessing water resources using geospatial technologies.Sustainable Environmental Solutions – Developing models for ecological conservation.

✅ Conclusion

Dr. H. U. Abbasi (and collaborators) demonstrates strong expertise in remote sensing, GIS, and environmental sustainability, with a well-cited publication record. While their research significantly contributes to regional climate and land-use studies, global collaboration, publication in top-tier journals, and policy-oriented research would further solidify their candidacy for the Best Researcher Award. Given the strong academic influence, Dr. Abbasi is a competitive candidate for this recognition

Publication

  • A review on change detection method and accuracy assessment for land use land cover (2021) – Authors: AH Chughtai, H Abbasi, IR Karas – Citations: 239

 

  • Geospatial analysis of wetlands based on land use/land cover dynamics using remote sensing and GIS in Sindh, Pakistan (2021) – Authors: H Islam, H Abbasi, A Karam, AH Chughtai, M Ahmed Jiskani – Citations: 33

 

  • Deforestation analysis of riverine forest of Sindh using remote sensing techniques (2011) – Authors: HU Abbasi, MA Baloch, AG Memon – Citations: 11

 

  • Impact analyses of upstream water infrastructure development schemes on downstream flow and sediment discharge and subsequent effect on Deltaic region (2015) – Authors: AN Laghari, HU Abbasi, A Aziz, NA Kanasro – Citations: 10

 

  • Strain energy based homogenization method to find the equivalent orthotropic properties of sandwich structures (2014) – Authors: H Ijaz, M Asad, A Memon, KB Ahmed, H Abbasi, AN Laghari – Citations: 7

 

  • Analysis of riverine forests of Nawabshah and Hyderabad divisions using Landsat satellite data (2015) – Authors: HU Abbasi, AG Memon, AS Soomro, MA Baloch – Citations: 5

 

  • Temperature modelling of Indus basin using Landsat data (2012) – Authors: HU Abbasi, AS Soomro, A Memon, SR Samo, IR Karas – Citations: 4

 

  • A Conceptual Model for identifying Landslide risk: A case study Balakot, Pakistan (2012) – Authors: AS Soomro, HU Abbasi, AG Memon, SR Samo – Citations: 4

 

  • Impact assessment on Manchar lake of water scarcity through remote sensing-based study (Year Not Available) – Authors: HU Abbasi, MA Baluch, AS Soomro – Citations: 4

 

  • Analytical approaches and advancement in the analysis of natural and synthetic fiber: a comprehensive review (2024) – Authors: Z Ali, FN Talpur, HI Afridi, F Ahmed, NA Brohi, H Abbasi – Citations: 3

 

  • Spatio-temporal land use/cover assessment of Sub-Tropical Forests of Thatta Division (2019) – Authors: HU Abbasi, H Islam – Citations: 3

 

  • Assessment of Deforestation of Riverine Forests of Nawabshah & Hyderabad Divisions Using Landsat Data (Year Not Available) – Authors: HU Abbasi, AG Memon, AS Soomro – Citations: Not Available

Abel Rouboa | Energy | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Abel Rouboa | Energy | Best Researcher Award

Prof. Dr at Faculty of Engineering of University of Porto , Portugal

Abel Rouboa is an Associate Professor of Mechanical Engineering with Habilitation (HDR) at the University of Trás-os-Montes e Alto Douro, Portugal, and the Faculty of Engineering at the University of Porto. He holds a Ph.D. in Computational Fluid Dynamics from the University of Pierre et Marie Curie (Paris VI). Rouboa’s research expertise encompasses energy conversion, biomass gasification, and computational fluid dynamics. He has significant experience in guiding postdoctoral and Ph.D. researchers and has been a key member of prominent research groups, including LAETA, an Associate Laboratory classified as Excellent. Rouboa is an active member of the American Society of Mechanical Engineering and has collaborated internationally, contributing extensively to the advancement of sustainable energy technologies. His work has earned recognition in prestigious journals and conferences, and he has been instrumental in numerous research projects.

Publication Profile

Google Scholar

Orcid

Scopus

🎓 Education

Abel Rouboa completed his MSc in Mechanical Engineering at the University of Pierre et Marie Curie (Paris VI) in 1990. He earned his Ph.D. in Computational Fluid Dynamics from the same institution in 1994. Rouboa further honed his research expertise during a postdoctoral fellowship at the University of Porto (FEUP), focusing on Parallel Computational Fluid Dynamics. He later completed the “Habilitation” or HDR qualification in Computational Mass and Heat Transfer in 2008 at the University of Trás-os-Montes e Alto Douro, Portugal. Rouboa’s continuous commitment to academic and professional development led him to research scholarships at institutions like the University of Pennsylvania, where he focused on energy conversion processes from 2005 to 2006.

💼 Experience

Abel Rouboa’s professional career spans over three decades, with substantial experience in both academia and research. From 1990 to 1998, he served as an Assistant Professor of Mechanical Engineering at the University of Paris-Sud. He then held academic roles at the University of Trás-os-Montes e Alto Douro, progressing from Assistant Professor to Associate Professor. Since 2021, he has been an Associate Professor at the Faculty of Engineering at the University of Porto. Rouboa has actively participated in numerous collaborative research projects, particularly in biomass energy conversion, fluid dynamics, and syngas combustion. He has supervised multiple Ph.D. and postdoctoral students, contributing to advancements in energy systems, gasification technologies, and biomechanics. His expertise is also recognized in research grants such as COBIGA and HydrICE.

🏆 Awards & Honors

Abel Rouboa has received numerous awards for his contributions to mechanical engineering and energy research. Notably, his team won the Best Paper Award at the European Academy for Sustainable Development’s TMREES22 Conference in May 2022 for their work on plasma gasification. He has also secured prestigious research grants, including the “COBIGA” project worth 240,000 Euros and the “HydrICE” grant for hydrogen-rich syngas combustion. Rouboa’s ongoing excellence as a researcher is evidenced by his leadership in several major funded research initiatives and his continuous contributions to academic journals and conferences.

🔍 Research Focus

Abel Rouboa’s research is primarily centered around energy conversion, computational fluid dynamics, and sustainable energy systems. His key research areas include biomass gasification, syngas production, and combustion processes. Rouboa focuses on optimizing energy systems to maximize efficiency and sustainability, particularly in the field of renewable energy technologies. His research also explores the application of computational models to simulate complex energy processes, with a focus on reducing environmental impacts. Rouboa’s work aims to improve energy conversion methods, including cogeneration systems and hydrogen production, contributing to a more sustainable energy future. He continues to mentor Ph.D. students and collaborate with international researchers in these fields.

Publication Top Notes

  • Influence of the Biomass Gasification Processes on the Final Composition of Syngas

    • Authors: N Couto, A Rouboa, V Silva, E Monteiro, K Bouziane
    • Citations: 397
    • Year: 2013
    • Journal: Energy Procedia
    • Volume: 36, Pages 596-606

  • Co-gasification and Recent Developments on Waste-to-Energy Conversion: A Review

    • Authors: A Ramos, E Monteiro, V Silva, A Rouboa
    • Citations: 360
    • Year: 2018
    • Journal: Renewable and Sustainable Energy Reviews
    • Volume: 81, Pages 380-398

  • Numerical Approaches and Comprehensive Models for Gasification Process: A Review

    • Authors: A Ramos, E Monteiro, A Rouboa
    • Citations: 177
    • Year: 2019
    • Journal: Renewable and Sustainable Energy Reviews
    • Volume: 110, Pages 188-206

  • Numerical Investigation of Optimum Operating Conditions for Syngas and Hydrogen Production from Biomass Gasification Using Aspen Plus

    • Authors: R Tavares, E Monteiro, F Tabet, A Rouboa
    • Citations: 175
    • Year: 2020
    • Journal: Renewable Energy
    • Volume: 146, Pages 1309-1314

  • The Use of Neural Network Technology to Model Swimming Performance

    • Authors: AJ Silva, AM Costa, PM Oliveira, VM Reis, J Saavedra, J Perl, A Rouboa, et al.
    • Citations: 170
    • Year: 2007
    • Journal: Journal of Sports Science & Medicine
    • Volume: 6, Issue 1, Pages 117