Robert Sroufe | Sustainability | Best Researcher Award

Published on by Applied Scientist

Best Researcher Award

Robert Sroufe
Chatham University, United States

Robert Sroufe
Affiliation Chatham University
Country United States
Scopus ID 6603056944
Documents 107
Citations 9,234
h-index 41
Subject Area Sustainability
Event Applied Scientist Awards
ORCID 0000-0002-7903-9180

Robert Sroufe is a sustainability scholar and Professor of Sustainability at Chatham University whose research examines environmental management systems, sustainable supply chains, operations management, sustainability performance, and the integration of environmental, social, and financial considerations into organizational decision-making. Chatham University identifies his research interests as including environmental management systems, sustainable supply chains, performance measurement, life-cycle analysis, and sustainability-oriented management practices.[1][2]

Abstract

Robert Sroufe’s academic work is centered on the relationship between sustainability and organizational management. His research addresses environmental management systems, sustainable supply-chain practices, environmental performance, operational decision-making, and the integration of sustainability across organizational functions. Chatham University describes his work as examining systems and tools that help organizations measure and manage environmental, social, and financial performance while addressing sustainability challenges in operations and supply chains.[1] His publication record includes research on environmental management systems and operations, sustainable supply-chain strategy, organizational change, and sustainability-oriented management education.[3][4]

Keywords

Sustainability; Environmental Management Systems; Sustainable Supply Chains; Operations Management; Sustainability Performance; Environmental Strategy; Corporate Sustainability; Sustainable Business

Introduction

Robert Sroufe is a Professor of Sustainability at Chatham University and is affiliated with its Falk School of Sustainability & Environment. The university describes his academic work as focused on sustainability performance, environmental management systems, supply-chain sustainability, and the development of management approaches that integrate sustainability into organizational decision-making.[1]

Research Profile

Sroufe’s research profile is associated with the study of how organizations establish systems for managing environmental and sustainability performance. Chatham University states that his work considers formal and informal systems for monitoring, reporting, and managing integrated bottom-line performance and examines how these systems interact with operations, supply chains, innovation, and organizational strategy.[1][5]

Research Contributions

A major theme in Sroufe’s research is the relationship between environmental management systems and organizational performance. His 2003 study in Production and Operations Management examined how environmental management systems are implemented and how they relate to environmental management practices and operations.[3]

Another contribution concerns the integration of environmental considerations into supply-chain strategy. A study published in Business Strategy and the Environment developed a framework for understanding environmental supply-chain strategy using company interviews and prior research, with attention to integrating environmental issues into supply-chain decision-making.[4]

Publications

Sroufe’s publication record includes peer-reviewed journal articles, books, book chapters, and applied research related to sustainability and management. Chatham University lists publications including Integrated Management: How Sustainability Creates Value for Any Business, Strategic Sustainable Supply Chain Management, The Power of Existing Buildings, and Strategic Sustainability: The State of the Art in Corporate Environmental Management Systems.[1]

  • Effects of Environmental Management Systems on Environmental Management Practices and Operations — Production and Operations Management, 2003.[3]
  • Integrating Environmental Management and Supply Chain Strategies — Business Strategy and the Environment, 2005. [4]

Research Impact

The supplied award profile reports 107 documents, 9,234 citations, and an h-index of 41. Bibliometric indicators are database-dependent and change as indexing systems add, merge, or correct records. For example, the current ScienceDirect author page associated with Scopus ID 6603056944 reports 102 documents, 8,963 citations from 7,649 documents, and an h-index of 41 at the time of retrieval.[2] Accordingly, the figures in the award profile should be understood as a dated snapshot rather than immutable measures of scholarly impact.

Award Suitability

For the Best Researcher Award profile, the documented record provides several areas relevant to scholarly evaluation: an established publication record, sustained research activity in sustainability and environmental management, contributions to sustainable supply-chain research, and publications addressing the implementation of sustainability within organizations. The supplied bibliometric profile additionally records 107 documents, 9,234 citations, and an h-index of 41.[3][4]

Conclusion

Robert Sroufe’s research profile is characterized by sustained scholarly work connecting sustainability with environmental management systems, supply-chain management, operations, organizational strategy, and management education. His published research includes empirical and conceptual studies addressing how sustainability can be integrated into organizational systems and decision-making.[3][4] The available institutional and bibliometric sources document an established academic profile in sustainability research, while the supplied award data provide additional quantitative indicators for award evaluation.

References

  1. Chatham University. (n.d.). Robert Sroufe — Professor of Sustainability, Falk School of Sustainability & Environment. Chatham University.
    https://www.chatham.edu/academics/graduate/sustainability/faculty/robert-sroufe.html
  2. Elsevier. (n.d.). Robert P. Sroufe — Author ID 6603056944. ScienceDirect/Scopus author information.
    https://www.sciencedirect.com/author/6603056944/robert-p-sroufe
  3. Sroufe, R. (2003). Effects of Environmental Management Systems on Environmental Management Practices and Operations. Production and Operations Management, 12(3), 416–431.
    https://doi.org/10.1111/j.1937-5956.2003.tb00212.x
  4. Handfield, R., Sroufe, R., & Walton, S. (2005). Integrating environmental management and supply chain strategies. Business Strategy and the Environment, 14, 1–19. DOI: 10.1002/bse.422.
    https://doi.org/10.1002/bse.422
  5. Bratt, C., Sroufe, R., & Broman, G. (2021). Implementing Strategic Sustainable Supply Chain Management. Sustainability, 13(15), 8132. DOI: 10.3390/su13158132.
    https://doi.org/10.3390/su13158132

Freihat Lana | Greening | Research Excellence Award

Published on by Applied Scientist

Research Excellence Award

Freihat Lana
Brunel University of London and Royal Hashemite Court, Jordan

Freihat Lana
Affiliation Brunel University of London and Royal Hashemite Court
Country Jordan
Scopus ID 58984513800
Documents 2
Citations 24
h-index 1
Subject Area Greening
Event Applied Scientist Awards
ORCID 0009-0004-9654-6426

Freihat Lana is a Jordanian procurement, sustainability, and research professional whose academic and professional work connects sustainable development, green initiatives, strategic procurement, organizational analysis, and data-driven decision-making. She is pursuing a PhD in Electrical and Electronics Engineering at Brunel University of London with a research focus on Sustainable Development and Green Initiatives, while also serving as Planning and Follow-up Section Head at the Royal Hashemite Court. Her professional profile combines more than 15 years of experience in procurement management and strategic planning with research-oriented skills in qualitative and quantitative analysis, digital transformation, and sustainability implementation. [1]

Abstract

Freihat Lana’s academic and professional profile reflects an interdisciplinary engagement with sustainable development, greening strategies, procurement systems, organizational performance, and digital analytical tools. Her doctoral research at Brunel University of London focuses on Sustainable Development and Green Initiatives within Electrical and Electronics Engineering, while her professional responsibilities at the Royal Hashemite Court involve planning, follow-up, procurement analysis, performance monitoring, and organizational improvement. Her work includes the application of Power BI, Microsoft Dynamics 365, advanced Excel, statistical analysis, SWOT and PESTEL frameworks, and sustainability-oriented procurement practices. [2]

Keywords

Sustainable development; green initiatives; greening; sustainable procurement; ethical procurement; supply chain management; strategic planning; data analytics; Power BI; digital transformation; organizational sustainability; environmental procurement; green human resource management; sustainability research; procurement optimization.

Introduction

Sustainable development increasingly requires the integration of environmental responsibility, organizational governance, technological capability, and evidence-based decision-making. In this context, procurement and supply chain functions can influence environmental performance through supplier selection, resource efficiency, ethical standards, and the adoption of greener operational practices. Research in sustainable procurement and green organizational management has therefore expanded across business, engineering, management, and policy disciplines. [3][1]

Research Profile

Freihat Lana’s research profile is characterized by an interdisciplinary focus on sustainability and the application of analytical methods to organizational and environmental challenges. Her current doctoral research addresses Sustainable Development and Green Initiatives, providing an academic foundation for examining the relationship between sustainability objectives, technology, and institutional practices. Her earlier academic work examined authentic leadership and employee creativity, while her published research has addressed green human resource management, supply chain management, regulatory effects, and the Sustainable Development Goals in Jordan. [4][2]

Research Contributions

Freihat Lana’s research and professional contributions can be considered across several related areas:

  • Sustainable development and the planning of green initiatives within an interdisciplinary engineering and organizational context.
  • Sustainable and ethical procurement, including environmental procurement considerations and the integration of responsible business practices.
  • Data-driven decision-making through Power BI dashboards, advanced spreadsheet analysis, and Microsoft Dynamics 365 reporting.
  • Strategic organizational analysis using frameworks such as SWOT, PESTEL, and Pareto analysis to support planning and performance improvement.
  • Research on green human resource management, supply chain management, regulation, and their relationship with sustainable development objectives.[3]

Publications

Freihat Lana’s documented publication record includes research addressing sustainability, human resource management, supply chain management, regulation, leadership, and organizational creativity.

  • Green Human Resource Management, Supply Chain Management, and Regulation Effects on Sustainable Development Goals in Jordan. Published in Sustainability (MDPI), 2024. The study examines relationships between green human resource management, supply chain management, regulatory influences, and sustainable development objectives. [4]

Research Impact

The available bibliometric information identifies two documents, 24 citations, and an h-index of 1 under the supplied Scopus author profile. These indicators provide a quantitative snapshot of the indexed research record and should be interpreted in relation to publication age, field-specific citation patterns, career stage, and the continuing development of the research portfolio.[1] Beyond citation indicators, the potential impact of Freihat Lana’s work is also connected to the practical relevance of sustainability and procurement research. [2]

Award Suitability

Freihat Lana’s profile is relevant to recognition under the Research Excellence Award category because it demonstrates a combination of doctoral-level research development, peer-reviewed publication activity, sustainability-focused inquiry, and substantial professional experience in procurement and organizational planning. Her research direction is aligned with contemporary discussions of Sustainable Development and Green Initiatives, while her professional work provides an applied perspective on the implementation of strategic, ethical, and environmental practices. [3][2]

Conclusion

Freihat Lana represents an interdisciplinary research and professional profile centered on sustainable development, greening initiatives, ethical procurement, organizational analysis, and data-informed decision-making. Her doctoral research at Brunel University of London, publication activity, professional experience at the Royal Hashemite Court, and technical expertise in analytical and digital tools collectively contribute to a developing research identity in sustainability-oriented applied research. Her work illustrates the value of connecting academic inquiry with practical organizational systems and the implementation of responsible, evidence-based approaches to sustainable development.[3]

References

  1. Elsevier. (n.d.). Scopus author details: Lana Jamil Freihat, Author ID 58984513800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58984513800
  2. L Freihat, M Al-Qaaida,et al. (2024). Green Human Resource Management/Supply Chain Management/Regulation and Legislation and Their Effects on Sustainable Development Goals in Jordan.
    https://www.mdpi.com/2071-1050/16/7/2769
  3. L Freihat. (2025). The relation between Artificial Intelligence (AI), Eco Innovation (EI) and Green Innovation (GI) and effects on Sustainability.
    https://www.matec-conferences.org/articles/matecconf/abs/2025/07/matecconf_maiqs2025_10004/matecconf_maiqs2025_10004.html
  4. L Freihat, Z Huneiti, W Balachandran. (2025). Breaking new ground in sustainability (SD): a novel integrated framework for eco/green-innovation (EI) and green supply chain management (GSCM) implementation in emerging economies – evidence from Jordan’s industrial transformation.
    hhttps://www.sciencedirect.com/science/article/pii/S2772390925000782

Vongani Chabalala | Air Quality | Best Researcher Award

Published on by Applied Scientist

Best Researcher Award

Vongani Chabalala
University of the Witwatersrand, South Africa
Researcher Information
Affiliation University of the Witwatersrand
Country South Africa
Scopus ID 35758307400
Documents 9
Citations 210
h-index 5
Subject Area Air Quality
Event Applied Scientist Awards
ORCID 0000-0003-3363-9655

Vongani Chabalala is a South African researcher affiliated with the University of the Witwatersrand whose interdisciplinary academic profile integrates air quality analytics, machine learning, data science, astrophysics, and computational modelling. His research activities include the application of spatiotemporal graph neural networks for PM2.5 forecasting, natural language processing for low-resource African languages, and machine learning approaches in observational science and environmental analytics.[1] The research profile demonstrates a developing contribution to computational science and environmental data analysis through the integration of artificial intelligence methods with scientific problem-solving frameworks.[2]

Abstract

This article presents an academic overview of the research profile and scholarly contributions of Vongani Chabalala in the areas of air quality forecasting, machine learning, astrophysics, natural language processing, and environmental analytics. The research portfolio reflects interdisciplinary engagement across computational science and data-driven modelling, particularly involving graph neural networks and predictive analytics for PM2.5 concentration forecasting.[3] The article further evaluates publication metrics, citation performance, subject specialization, and suitability for recognition within the Best Researcher Award framework.[1]

Keywords

Air Quality; PM2.5 Forecasting; Graph Neural Networks; Machine Learning; Environmental Analytics; Data Science; Artificial Intelligence; Natural Language Processing; Computational Physics; Applied Scientific Research

Introduction

Contemporary scientific research increasingly relies on interdisciplinary computational methodologies capable of integrating statistical analysis, artificial intelligence, and domain-specific modelling techniques. Researchers operating at the intersection of environmental science and machine learning have contributed to the development of predictive systems capable of addressing complex societal and scientific challenges.[4]

Vongani Chabalala’s academic activities align with this emerging paradigm through the use of machine learning algorithms, spatiotemporal graph neural networks, and data-driven modelling frameworks for environmental and scientific applications. His work in PM2.5 concentration forecasting demonstrates a practical application of artificial intelligence methods in air quality assessment and public environmental monitoring systems.[3]

Research Profile

Vongani Chabalala reflects interdisciplinary training in physical sciences, astrophysics, mathematical sciences, and computational data analysis. He completed postgraduate studies involving astrophysical modelling and later pursued doctoral research focused on machine learning applications in physics and environmental analytics.[5]

The academic profile includes nine indexed documents, 210 citations, and an h-index of 5 according to Scopus metrics. The research output demonstrates moderate citation visibility with emphasis on applied computational methodologies and environmental prediction systems.[1]

  • Primary specialization in air quality forecasting and environmental data analytics.
  • Research integration of machine learning, graph neural networks, and predictive analytics.
  • Experience in low-resource language dataset creation and natural language processing.
  • Background in astrophysics, computational modelling, and scientific data analysis.
  • Application of artificial intelligence methodologies across multidisciplinary scientific domains.

Research Contributions

Vongani Chabalala is the investigation of spatiotemporal graph neural networks for PM2.5 concentration forecasting. The study integrates satellite observations, weather variables, and pollution measurements to improve predictive accuracy for air quality assessment in regions including Gauteng and Switzerland.[3]

Additional contributions include research involving natural language processing for Setswana and Sepedi datasets, focusing on low-resource language classification systems and data augmentation techniques. This work reflects broader interests in machine learning applications for socially relevant computational challenges.

Research projects in astrophysics and cosmological modelling further demonstrate quantitative analytical capability. Previous studies explored autoencoded supernovae spectral feature extraction and theoretical modelling concerning the formation of structures in the universe.

  • Development of PM2.5 forecasting methodologies using graph neural networks.
  • Application of machine learning algorithms for environmental prediction systems.
  • Natural language processing for African low-resource languages.
  • Computational astrophysics and spectral feature analysis.
  • Interdisciplinary data science and quantitative modelling research.

Publications

The publication portfolio includes research associated with air quality analytics, graph neural networks, machine learning applications, and computational modelling. Indexed outputs have contributed to the researcher’s citation performance and scholarly visibility within environmental and computational science domains.[1]

  1. Research publications involving PM2.5 concentration forecasting and spatiotemporal graph neural networks.[3]
  2. Machine learning studies focused on low-resource African language classification systems.
  3. Computational modelling and astrophysical spectral analysis research outputs.

Research Impact

The citation profile associated with the research portfolio indicates measurable scholarly engagement in environmental analytics and computational science. With 210 citations and an h-index of 5, the publication record demonstrates developing international visibility and citation activity.[1]

The integration of graph neural networks, machine learning, and environmental modelling positions the research within contemporary scientific trends emphasizing predictive analytics and data-intensive methodologies. The practical relevance of PM2.5 forecasting systems may contribute to environmental monitoring, public health planning, and urban pollution management initiatives.[4]

Award Suitability

Vongani Chabalala profile demonstrates suitability for consideration within the Best Researcher Award category due to the interdisciplinary application of computational science methods to environmental and scientific challenges. The integration of machine learning, graph neural networks, and predictive environmental modelling reflects contemporary applied scientific research priorities.[3]

Vongani Chabalala portfolio further indicates consistent engagement with data science methodologies, quantitative modelling, and machine learning applications across multiple scientific domains. While the citation profile remains at a developing stage relative to highly established senior researchers, the demonstrated interdisciplinary focus and applied analytical contributions support recognition within emerging applied science research categories.[1]

Conclusion

Vongani Chabalala’s academic and research activities represent an interdisciplinary scientific profile combining machine learning, environmental analytics, astrophysics, and computational modelling. The integration of artificial intelligence methodologies into air quality forecasting and environmental prediction systems reflects growing engagement with applied scientific research challenges. Citation performance, indexed publications, and ongoing doctoral research activities collectively support recognition within the context of applied scientific achievement and emerging computational environmental research.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Vongani Chabalala, Author ID 35758307400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35758307400
  2. Chabalala, V. (2024). A Cost-Effective Air Quality Monitoring System for the Global South.
    https://ieeexplore.ieee.org/document/10855074/
  3. Chabalala, V. (2025). Spatiotemporal Graph Neural Networks for PM2.5 Concentration Forecasting.
    https://doi.org/10.3390/air4010002
  4. Chabalala, V. (2020). Low resource language dataset creation, curation and classification: Setswana and Sepedi — Extended Abstract.
    https://arxiv.org/abs/2004.13842
  5. Chabalala, V. (2020). Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi.
    https://arxiv.org/abs/2003.04986