Surabhee Satheesh

@bvuniversity.edu.in

Assistant Professor, Department of Management Studies (Off Campus), Bharati Vidyapeeth (Deemed University)
Bharati Vidyapeeth (Deemed University)

Surabhee Satheesh


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https://researchid.co/surabhee
Assistant Professor of Environmental Engineering with primary research focus on solid waste management, sustainability assessment, and quality of life (QoL) outcomes. My work integrates circular economy principles, life cycle assessment (LCA), waste-to-resource technologies, and policy analysis to develop resilient and resource-efficient waste management systems. I investigate the environmental, socio-economic, and public health implications of waste systems, aiming to support evidence-based policy and sustainable urban development. My research contributes to advancing integrated solid waste strategies aligned with national sustainability and climate goals.

EDUCATION

Ph.D (Pursuing), SET, MBA, MA, Diploma in Training and Development

RESEARCH, TEACHING, or OTHER INTERESTS

Environmental Science, Environmental Engineering, Waste Management and Disposal
3

Scopus Publications

9

Scholar Citations

2

Scholar h-index

Scopus Publications

  • A total interpretive structural modelling (TISM) framework for gamification in solid waste management and its influence on quality of life (QoL)
    Surabhee Satheesh, Vishal Pradhan, Kasturi Shukla, Yogesh Patil
    Discover Sustainability, 2026
    The relationship between gamification in solid waste management and Quality of Life (QoL) has been sparsely explored. We formulate and assess a benchmarking model using the Total Interpretive Structural Modelling (TISM) methodology. The key driving factors in operationalizing gamified waste management practices in urban Indian contexts are identified. The study employs a consensus-building Delphi approach, involving five expert interviews, to complete an interpretive questionnaire. The interviewees were stakeholders from academia and industry. The outcomes revealed that game-based performance metrics and behavioural gamification frameworks, as well as play-based incentives, emerged as the focal predictors. Interactive feedback systems, social influence with trust, and multi-criteria simulations were identified as the linkage dimensions, while gamified waste modelling served as the criterion dimension. Integrating gamification into waste management systems to improve QoL into the broader benefits of urban communities and environmental sustainability is suggested. This research will aid in understanding the schema of drivers and their hierarchical scaffolding based on driving and dependence powers. Future studies can build on this research and strive to develop sustainable urban waste management systems. This study represents one of the first structured attempts to develop an interpretive model of gamification in solid waste management and its influence on quality of life in urban India. By identifying key drivers and constructing a benchmarking framework, the research makes a unique contribution to both academic discourse and practical policymaking.
  • AI-Driven Sustainable Waste Management for Enhancing Quality of Life
    Surabhee Satheesh, Yogesh Patil, Kasturi Shukla, Vishal Pradhan
    Proceedings 2025 International Conference on Emerging Information Technology and Engineering Solutions Eites 2025, 2025
    Waste management challenges are intensified by mechanization and urban sprawl, impacting sustainability and Quality of Life (QoL). Traditional waste handling, influenced by technological, legal, and ecological factors, remains complex and difficult to optimize. AI-driven solutions enhance solid waste management (SWM) by addressing fragmented data, enabling predictive analytics, and optimizing operations. Machine learning models, IoT-based monitoring, and automated waste sorting improve real-time tracking, route optimization, and waste-to-energy (WtE) conversion, reducing landfill dependency and promoting a circular economy. This study examines AI-driven decision-making frameworks, assessing performance through RMSE, MAE, and R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> values. Findings reveal that AI integration enhances efficiency, lowers costs, and reduces ecological impact. By intertwining AI with sustainability, this research underscores the need for digital transformation and policy interventions for sustainable waste solutions. Urgent research is required to explore the direct impact of AI-SWM (Solid Waste Management) on QoL and foster data-driven, environmentally responsible waste management practices.
  • Industry 5.0, quality of life, and sustainable adaptation to climate change: Challenges and the transformational way forward
    Surabhee Satheesh, Kasturi Shukla
    Quality of Life and Climate Change Impacts Sustainable Adaptation and Social Ecological Resilience, 2024
    Globalization and industrialization have exposed the world to the exacerbating issue of sustainability. With the occurrences of climate related extreme events increasing the world over in the last decade, climate change has come to be recognized as the most profound concern staring in the face of mankind. There have been many separate studies addressing climate change and an equally good number of research in the domain of quality of life. But there is a dearth of research linking climate variability and quality of life. Climate uncertainties have led to loss of lives. Settlements and employments, material living conditions, physical and economic security, natural environment, health, basic rights, and social exchanges among communities stand impacted. All of these metrics are important determinants of quality of life (QoL). Also, alarming is the fact that QoL indicators remain poorly connected to climate change related concerns. This is an important research gap and calls for urgent attention.

RECENT SCHOLAR PUBLICATIONS

  • A total interpretive structural modelling (TISM) framework for gamification in solid waste management and its influence on quality of life (QoL)
    S Satheesh, V Pradhan, K Shukla, Y Patil
    Discover Sustainability , 2026
    2026
  • AI-Driven Sustainable Waste Management for Enhancing Quality of Life
    S Satheesh, Y Patil, K Shukla, V Pradhan
    2025 International Conference on Emerging Information Technology and … , 2025
    2025
    Citations: 2
  • Industry 5.0, quality of life, and sustainable adaptation to climate change: challenges and the transformational way forward
    S Satheesh, K Shukla
    Quality of life and climate change: Impacts, sustainable adaptation, and … , 2024
    2024
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Industry 5.0, quality of life, and sustainable adaptation to climate change: challenges and the transformational way forward
    S Satheesh, K Shukla
    Quality of life and climate change: Impacts, sustainable adaptation, and … , 2024
    2024
    Citations: 7
  • AI-Driven Sustainable Waste Management for Enhancing Quality of Life
    S Satheesh, Y Patil, K Shukla, V Pradhan
    2025 International Conference on Emerging Information Technology and … , 2025
    2025
    Citations: 2
  • A total interpretive structural modelling (TISM) framework for gamification in solid waste management and its influence on quality of life (QoL)
    S Satheesh, V Pradhan, K Shukla, Y Patil
    Discover Sustainability , 2026
    2026

Publications

Satheesh, S., Pradhan, V., Shukla, K., & Patil, Y. (2026). A total interpretive structural modelling (TISM) framework for gamification in solid waste management and its influence on quality of life (QoL). Discover Sustainability.

Satheesh, S., Patil, Y., Shukla, K., & Pradhan, V. (2025, July). AI-Driven Sustainable Waste Management for Enhancing Quality of Life. In 2025 International Conference on Emerging Information Technology and Engineering Solutions (EITES) (pp. 166-172). IEEE. 10.1109/

Satheesh, S., & Shukla, K. (2024). Industry 5.0, quality of life, and sustainable adaptation to climate change: challenges and the transformational way forward. In Quality of life and climate change: Impacts, sustainable adaptation, and social-ecological resilience (pp. 200-219). IGI Global Scientific Publishing.
10.4018/978-1-6684-9863-7.ch009

INDUSTRY EXPERIENCE

4 years in logistics and supply chain industry.