Tasin Islam Himel | Climate Change | Best Researcher Award

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Mr. Tasin Islam Himel | Climate Change | Best Researcher Award

Research Assistant at Khulna University, Bangladesh.

Tasin Islam Himel is a dedicated researcher and urban planner specializing in climate change adaptation, disaster risk management, and human-environment interaction. With expertise in GIS & remote sensing, qualitative and quantitative research methods, and vulnerability assessments, he has contributed to multiple research projects addressing climate resilience, migration, and sustainable urban development. His work focuses on intersectionality, poverty, and inequality, providing valuable insights into policy planning and disaster mitigation strategies.

Professional Profile:

Scopus Profile

Orcid Profile

Education Background 🎓📖

Tasin holds both a Bachelor and a Master of Urban and Rural Planning (BURP & MURP) from Khulna University, Bangladesh. His MURP thesis explored “GIS and Remote Sensing Applications in Flash Flood Hazard Assessment,” while his BURP research focused on “Climate Change Vulnerability and Adaptation among Flood-affected Communities of Bangladesh from an Intersectionality Perspective.” He achieved outstanding academic performance, securing high CGPAs throughout his education.

Professional Development 📈💡

Tasin has been serving as a Research Assistant at the Climate Change and Poverty Lab, Khulna University, since 2020. He has also worked on various research projects in collaboration with national and international organizations, including Oxfam, Caritas Bangladesh, GIZ, UNDP, and the Social Science Research Council. His roles have involved conducting field research, stakeholder engagement, qualitative and quantitative data analysis, and report writing. His contributions extend to community planning, resilience-building, and policy recommendations for sustainable urban development.

Research Focus 🔬📖

His research focuses on climate change and disaster resilience, hazard, risk, and vulnerability mapping, migration studies, intersectionality, poverty and inequality, and human-environment interactions. He employs GIS & remote sensing alongside qualitative and quantitative methodologies to analyze socio-environmental issues and propose sustainable solutions.

Author Metrics

Tasin has published articles and research findings on climate-induced migration, loss and damage assessment, and resilience-building strategies. His research contributions have been presented in various academic forums, and his publications have been cited in relevant climate change and urban planning studies.

Awards & Honors 🏆🎖️

He has received recognition for his outstanding research contributions and academic excellence. His projects funded by esteemed organizations like Oxfam, GIZ, and UNDP highlight his impactful work in disaster risk reduction and sustainable urban planning.

Publication Top Notes

1. “Unraveling Climate Change Vulnerability and Adaptation in Flood-Affected Communities of Northern Bangladesh: A Multidimensional Poverty Perspective”

  • Published in: Environmental Development (2025, January)
  • DOI: 10.1016/j.envdev.2025.101135
  • Focus: Examines the intersection of climate vulnerability and poverty in flood-prone regions of Northern Bangladesh, highlighting adaptation strategies.

2. “COVID-19 Impact on Urban Low-Income Individuals in Bangladesh: A Qualitative Content Analysis”

  • Published in: Journal of Social and Economic Development (2024, May 9)
  • DOI: 10.1007/s40847-024-00342-8
  • Focus: Investigates the socio-economic impact of COVID-19 on Bangladesh’s low-income urban populations using qualitative research.

3. “Investigating Loss and Damage in Coastal Region of Bangladesh from Migration as Adaptation Perspective: A Qualitative Study from Khulna and Satkhira District”

  • Published in: World (2024, January 30)
  • DOI: 10.3390/world5010005
  • Focus: Explores how migration serves as an adaptation strategy in climate-affected coastal regions of Bangladesh.

Conclusion:

Tasin Islam Himel is a highly suitable candidate for the Best Researcher Award due to his strong academic foundation, impactful research, and interdisciplinary approach. His contributions to climate change adaptation, disaster risk reduction, and urban planning provide significant value to both academic and policy communities.

To further strengthen his candidacy, he could focus on expanding global collaborations, publishing in top-tier journals, and leading funded research projects. However, given his existing achievements and contributions, he is already a top contender for the award.

Richard Usang | Environmental Monitoring | Best Researcher Award

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Dr. Richard Usang | Environmental Monitoring | Best Researcher Award

Senior Data Scientist at Heineken Uk, United Kingdom📖

Dr. Richard Usang is a distinguished Chemistry expert and Data Scientist with extensive experience in industrial and environmental chemistry, AI-driven analytics, and machine learning applications. His expertise spans advanced chemical research, data-driven decision-making, and AI model evaluation. With a Ph.D. in Industrial & Environmental Chemistry and an MSc in Data Science, he bridges the gap between scientific research and AI innovations. Dr. Usang has led impactful projects in predictive modeling, process optimization, and sustainability-driven solutions across various industries.

Profile

Orcid Profile

Education Background🎓

  • Ph.D. Industrial & Environmental Chemistry – University of Ibadan, Nigeria (2021)
  • MSc Data Science – University of Sussex, UK (2023)
  • MSc Industrial Chemistry (Top 1%) – University of Ibadan, Nigeria (2014)
  • BSc Chemistry (Ranked 1st) – Benue State University, Nigeria (2011)

Professional Experience🌱

Dr. Usang is currently a Senior Data Scientist at Heineken UK, where he applies AI and machine learning to optimize production processes and marketing strategies. He previously served as a Lead Data Analyst at EMCOR UK, significantly improving data processing efficiency. His earlier roles at The Heineken Company included Data Scientist and Brewing Process Specialist, where he spearheaded predictive modeling projects, optimized brewing parameters, and contributed to sustainability initiatives. He also held an academic position as a Research Assistant at the University of Ibadan, conducting groundbreaking research on chemical processes and environmental impact assessments.

Research Interests🔬

Her research interests include:

  1. AI-driven chemical data analysis and predictive modeling
  2. Sustainable industrial processes and environmental chemistry
  3. Machine learning applications in materials science
  4. AI content evaluation and Natural Language Processing in Chemistry

Author Metrics

Dr. Usang has authored several peer-reviewed publications on environmental chemistry, AI-driven water quality assessments, and sustainable waste management. Notable works include:

  1. “Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment.”
  2. “Synthesis, Aqueous Solubility Studies, and Antifungal Activity Test of Some Tributyltin(IV) Carboxylates.”
  3. Conference presentations at TU Braunschweig, Germany, and the University of Ibadan, Nigeria.
Awards and Honors
  • Recognized among the Top 1% in MSc Industrial Chemistry
  • Best Graduate (1st Rank) in BSc Chemistry at Benue State University
  • Contributor to multiple industry-driven AI and sustainability initiatives
Publications Top Notes 📄
1.  Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment
  • Authors: Richard O. Usang, Bamidele I. Olu-Owolabi, Kayode O. Adebowale
  • Journal: Journal of Hydrology: Regional Studies
  • Publication Date: January 2025
  • DOI: 10.1016/j.ejrh.2025.102182
  • ISSN: 2214-5818
Abstract:

This research integrates Principal Component Analysis (PCA), Fuzzy Inference Systems (FIS), and Advanced Neural Networks to develop a more robust and precise estuarine water quality assessment model. The study applies machine learning and statistical techniques to improve water quality monitoring, pollution prediction, and ecological sustainability. By leveraging fuzzy logic and artificial intelligence, the proposed framework enhances the decision-making process for environmental management.

Key Highlights:
  • PCA for Data Reduction: Identifies key water quality parameters affecting estuarine ecosystems.
  • Fuzzy Inference Systems: Enhances interpretability and decision-making in water quality assessment.
  • Advanced Neural Networks: Improves prediction accuracy for water pollution trends and environmental impact analysis.
  • Application in Environmental Sustainability: Provides insights into climate change effects on estuarine water systems.

Conclusion

Dr. Richard Usang is an outstanding researcher whose interdisciplinary expertise, AI-driven environmental innovations, and industry-academic contributions make him a top contender for the Best Researcher Award. Expanding his AI applications, increasing global collaborations, and enhancing industry-academia partnerships will further solidify his impact in environmental monitoring and AI-based sustainability solutions.