This workshop aims to build capacity in circular economy-driven solid waste management by integrating Artificial Intelligence (AI), data analytics, and digital tools to optimize real-world waste systems. The program focuses on sustainable waste management practices using AI tools, fostering regional and global collaboration.
To be added soon
Circular economy frameworks & resource recovery strategies for sustainable waste management systems.
Urban solid waste management systems and best practices for efficient waste collection and processing.
Waste characterization & data analytics techniques for informed decision-making and system optimization.
AI & machine learning concepts for engineers to develop intelligent waste management solutions.
Smart bins, route optimization & forecasting using IoT and advanced algorithms.
Computer vision for waste segregation and automated sorting applications.
Decision-support systems & predictive analytics for waste management planning.
Circular economy business models that create value and ensure economic sustainability.
| Time | Session | Topics / Activities |
|---|---|---|
| 09:30β10:00 | Inauguration & Introduction | Welcome, objectives, participant introductions |
| 10:00β11:00 | Keynote Lecture: Transitioning from Linear to Circular Systems | Concepts, drivers, benefits and challenges |
| 11:15β12:30 | Session 1: Circular Economy in Solid Waste Management | Case studies: EU, Japan, India; circular loops in materials |
| 13:30β15:00 | Session 2: Waste Flow Mapping and Resource Recovery | Life-cycle thinking, material flow analysis |
| 15:15β16:30 | Interactive Group Activity: Mapping Circular Loops in Local Waste Systems | Group exercise & discussion |
| 16:30β17:00 | Day Wrap-up | Reflections, Q&A |
| Time | Session | Topics / Activities |
|---|---|---|
| 09:30β11:00 | Session 3: Overview of Urban Solid Waste Management Systems | Generation, segregation, collection, transport, treatment, disposal |
| 11:15β12:30 | Session 4: Waste Characterization and Data Analytics | Composition studies, waste audit techniques |
| 13:30β15:00 | Session 5: Recycling Technologies & Circular Resource Chains, Policy and Governance | Composting, anaerobic digestion, plastic recycling, e-waste, Polluters Responsibilities |
| 15:00β17:00 | Field Visit | Landfill & Waste to Energy Facilities |
| Time | Session | Topics / Activities |
|---|---|---|
| 09:30β11:00 | Session 7: AI and Machine Learning Concepts for Professional Engineers | Basics: supervised vs unsupervised learning, neural networks |
| 11:15β12:30 | Session 8: Data Sources in SWM & Data Preprocessing | IoT sensors, GIS, public datasets, preprocessing pipelines |
| 13:30β15:00 | Hands-on Lab 1: Exploring Data with Python / Excel / Power BI | Data visualization, trend detection |
| 15:15β16:30 | Session 9: AI Applications in all tiers of Waste Management | Smart bins, route optimization, forecasting, fleet management and energy savings |
| 16:30β17:00 | Recap Discussion & Case Study | Linking AI insights to resource recover, circular economy outcomes and best practices |
| Time | Session | Topics / Activities |
|---|---|---|
| 09:30β11:00 | Session 10: Computer Vision for Waste Segregation | Image classification using AI models; case demo |
| 11:15β12:30 | Hands-on Lab 2: Using AI Tools | Build a basic model or workflow |
| 13:30β14:30 | Session 11: Decision Support Systems and Predictive Analytics | Integrating AI models with decision-making platforms |
| 14:30β15:00 | Discussion & Peer Feedback | Sharing outputs of hands-on work |
| 15:00β17:00 | Field Visit | Waste recycling and resource recover facilities |
| Time | Session | Topics / Activities |
|---|---|---|
| 09:30β11:00 | Session 13: Circular Economy Business Models in Waste Sector | Industrial symbiosis, digital platforms for recyclables |
| 11:15β12:30 | Group Exercise: Developing Action Plans or Research Proposals | Teams present circular + AI project ideas |
| 13:30β14:45 | Valedictory Session & Certificate Distribution | Summary, participant feedback, closing remarks |
| 15:00β17:00 | Tour in around Samarkand City to see the cultural heritage | To build cultural bonding with central Asia |
Muhammed Alamgir is an environmental and civil engineering expert with extensive experience in solid waste management, faecal sludge management and circular economyβbased waste systems. He has been involved in applied research, international collaboration and technical studies related to sustainable waste and resource recovery. He has contributed to numerous large-scale projects addressing urban waste, sanitation and environmental challenges. He has published widely in peer-reviewed journals and international conference proceedings. His work focuses on practical and research-driven solutions for sustainable waste management.
Raffaello Cossu is an internationally recognized expert in circular economy and waste management with decades of academic and research experience. He has made major contributions to the development of modern waste treatment technologies, landfill engineering and resource recovery systems. He has been actively involved in international research networks, academic publishing and policy advisory initiatives. His work has influenced circular economy practices and waste management strategies across Europe and globally. He has served as an author, editor and scientific advisor for numerous international research programs and conferences.
Thomas Haupt is a researcher specializing in digital systems, data analytics and AI-supported approaches for sustainability and urban systems. His academic work focuses on applying digital technologies to environmental challenges, including waste management and resource efficiency. He has participated in interdisciplinary research projects combining environmental engineering, data science and smart systems. His research interests include data-driven planning, decision-support systems and digital innovation for sustainable development.
Professor Ravshanov Alikul Xudayeberdiyevich is the Dean of the Faculty of Geography and Ecology at Samarkand State University. He leads one of the university's long-established faculties, founded in 1966, with strong traditions in geographic and environmental research. Under his academic leadership, the faculty offers programs in geography, ecology, hydrometeorology, soil science and hydrology. He oversees research activities in environmental protection, water resource management, renewable energy mapping and regional ecological assessment. The faculty actively engages in applied and innovative research projects related to environmental sustainability and resource management. He has supported international academic collaboration, including participation in European programs such as TACIS/TEMPUS and ongoing cooperation under international initiatives like ECAP. His work emphasizes strengthening scientific research, international partnerships and capacity building in environmental and geographic sciences.
Professor Md. Sazzad Hossain is a computer science and engineering academic with expertise in quantum algorithms, information security and advanced computational systems. He completed his PhD at Portland State University, USA, in 2009 with a dissertation titled "Classical and Quantum Search Algorithms for Quantum Schemes and the Optimisation of Quantum Oracles." He has been serving at the Department of Control Theory and Information Security at Samarkand State University since 2025. His academic work focuses on algorithm design, secure information systems and emerging computing technologies. He has authored three textbooks and more than one hundred research articles and theses, with over fifty publications indexed in Scopus. He has supervised more than fifty graduate theses and one doctoral dissertation. His work emphasizes advancing research capacity and innovation in computational science and information security.
Professor Mohammad Suhail holds a PhD in Geography and has been serving at Samarkand State University since 2023. He completed his doctoral research in 2016 with a dissertation titled "Water Resource Management in Saudi Arabia." Prior to his current position, he worked at Aligarh Muslim University in India. Dr. Suhail specializes in Geographic Information Systems (GIS), remote sensing and water resource management. His academic work focuses on spatial analysis, environmental planning and sustainable resource management. His expertise supports data-driven environmental analysis and geospatial applications for sustainable development initiatives.
Valentina Grossule is an environmental engineering researcher with a strong background in waste management, circular economy and sustainable resource recovery. Her academic work includes research on waste treatment technologies, environmental impact assessment and circular system design. She has contributed to European research initiatives and international conferences on sustainable waste management. Her work focuses on integrating scientific research with practical and policy-relevant applications.
S. M. Tariqul Islam is an environmental professional with experience in solid waste management, faecal sludge management, climate change and disaster risk management. He has been involved in research, consultancy and training activities related to environmental sustainability and urban resilience. His work includes field-based assessments, environmental analysis and technical reporting. He has contributed to projects supported by national and international organizations. He has published work in peer-reviewed journals and international conference proceedings related to environmental management.
Gregor Biastoch is an environmental data scientist with expertise in data analytics, modeling and digital tools for environmental applications. His research focuses on integrating data-driven approaches into environmental monitoring, pollution control and sustainability assessment. He has contributed to international research projects addressing plastic pollution, waste systems and environmental data analysis. His work supports evidence-based decision-making in environmental and circular economy initiatives.
Nur-E-Jannat Pollen is an environmental engineering professional with experience in solid waste management, faecal sludge management and environmental impact assessment. She has worked on research and development projects addressing sanitation systems, waste treatment and environmental monitoring. Her experience includes field investigations, system assessments and technical reporting. She has contributed to international conference publications related to waste and sanitation. Her work emphasizes practical, field-oriented environmental solutions.
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Limited Seats: Only 30 participants