Circular Economy & AI Tools Workshop - Samarkand 2026
πŸŽ‰ First Announcement

Circular Economy & AI Tools in Solid Waste Management

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23-26 June, 2026

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4-Day International Virtual Workshop and Capacity Building Program

Jointly Organized By

About the Workshop

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.

Jointly Organized By

  • Samarkand University, Uzbekistan (Host Institute)
  • WasteSafe Environmental Limited, Bangladesh (Lead Organizer & Program Management)
  • International Research Association for Circular Economy (IRACE), Europe
  • Bauhaus University Weimar, Germany

In Partnership With

To be added soon

Learning Themes

🌍 Circular economy frameworks & resource recovery

Circular economy frameworks & resource recovery strategies for sustainable waste management systems.

πŸ™οΈ Urban solid waste management systems

Urban solid waste management systems and best practices for efficient waste collection and processing.

πŸ“Š Waste characterization & data analytics

Waste characterization & data analytics techniques for informed decision-making and system optimization.

πŸ€– AI & machine learning for engineers

AI & machine learning concepts for engineers to develop intelligent waste management solutions.

πŸ“± Smart bins, route optimization & forecasting

Smart bins, route optimization & forecasting using IoT and advanced algorithms.

πŸ‘οΈ Computer vision for waste segregation

Computer vision for waste segregation and automated sorting applications.

πŸ’‘ Decision-support systems & predictive analytics

Decision-support systems & predictive analytics for waste management planning.

πŸ’Ό Circular economy business models

Circular economy business models that create value and ensure economic sustainability.

Tentative Outline of the Workshop

πŸ“… Day 1 – 23 June 2026 | Foundations of Circular Economy & Waste Systems

β–Ό
Note: All times are Bangladesh Time (BD Time) β€” GMT+6
Time (BD) Session Topics / Activities
10:30–11:00 Inauguration & Introduction Welcome, objectives, participant introductions
11:00–12:15 Session 1: Foundations of Circular Economy in Waste Systems Objectives:
  • Develop a clear understanding of circular economy principles in waste management
  • Explain how material flows operate within urban systems
  • Identify limitations of current linear waste practices
Coverage:
  • Linear vs circular systems: resource use, waste generation, inefficiencies
  • Core principles: reduction, reuse, recycling, recovery, regeneration
  • System thinking and closed-loop material cycles
  • System-level transition challenges (institutional, behavioral, infrastructure) and resource circulation
  • Environmental and climate linkages
  • Institutional, behavioral, and infrastructure barriers in developing contexts
12:15–13:30 Session 2: Waste Flow Mapping, Resource Recovery & SWM Systems Objectives:
  • Understand the full chain of solid waste management
  • Map waste flows and identify recovery opportunities
  • Analyze system inefficiencies and loss points
Coverage:
  • Overview of SWM chain: generation to disposal
  • Waste flow mapping from source to final destination
  • Material Flow Analysis (MFA) fundamentals
  • Identification of leakage points and inefficiencies
  • Resource recovery pathways (organic, recyclables, residuals)
  • Role of formal and informal sectors in waste flow

πŸ“… Day 2 – 24 June 2026 | Waste Technologies, AI & Machine Learning

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Time (BD) Session Topics / Activities
10:30–11:45 Session 3: Waste Characterization, Recycling Technologies & Policy Frameworks Objectives:
  • Assess waste composition for effective planning
  • Understand appropriate recycling and treatment technologies
  • Explore governance and policy mechanisms supporting circular systems
Coverage:
  • Waste characterization methods: sampling, composition analysis, audits
  • Data interpretation for planning and system design
  • Treatment and recycling technologies: Biological (composting, anaerobic digestion); Mechanical and material recovery processes
  • Circular resource chains and efficiency considerations
  • Policy instruments: Extended Producer Responsibility (EPR); Regulatory frameworks and compliance
  • Technology selection based on waste characteristics
11:45–13:00 Session 4: AI and Machine Learning Concepts for Professional Engineers Objectives:
  • Build foundational knowledge of AI for non-technical professionals
  • Identify how AI supports waste system optimization
  • Understand opportunities and limitations of AI use
Coverage:
  • Introduction to AI and machine learning
  • Types of learning: supervised, unsupervised
  • Concept of pattern recognition and prediction
  • Application areas in environmental systems
  • Data requirements and challenges
  • Risks, limitations, and ethical considerations

πŸ“… Day 3 – 25 June 2026 | Data Science, AI Applications & Decision Support

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Time (BD) Session Topics / Activities
10:30–11:45 Session 5: Data Sources, Data Processing & AI Applications in SWM Objectives:
  • Understand data requirements for smart waste management
  • Learn basic data preparation techniques
  • Explore AI applications across waste system stages
Coverage:
  • Data sources: IoT-based monitoring systems; GIS and spatial datasets; Operational and survey data
  • Data preprocessing: cleaning, validation, structuring
  • Data quality challenges in real-world systems
  • AI applications in SWM: Collection route optimization; Waste generation forecasting; Smart monitoring and tracking; Operational efficiency improvement
  • Integration of data into decision-making processes
11:45–13:00 Session 6: Decision Support Systems and Predictive Analytics Objectives:
  • Understand how data and models support decision-making
  • Apply predictive tools for planning and optimization
  • Strengthen evidence-based management approaches
Coverage:
  • Decision Support Systems (DSS): structure and components
  • Data-to-decision workflow
  • Predictive analytics concepts (trend analysis, forecasting)
  • Scenario analysis for planning (collection, treatment, disposal capacity)
  • Use of analytics in policy and operational decisions
  • Limitations and uncertainties in predictive models

πŸ“… Day 4 – 26 June 2026 | Circular Economy Business Models & Closing

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Time (BD) Session Topics / Activities
10:30–11:45 Session 7: Circular Economy Implementation & Business Models in Waste Sector Objectives:
  • Translate circular economy concepts into practical applications
  • Explore viable business and operational models
  • Identify opportunities for innovation and scaling
Coverage:
  • Circular business models: Resource recovery enterprises; Repair, reuse, and refurbishment systems; Decentralized treatment solutions
  • Value chain structure and stakeholder roles
  • Revenue streams and financial sustainability
  • Public-private collaboration models
  • Digital platforms and service-based systems
  • Local and regional implementation examples
  • Barriers to scaling and investment challenges
12:00–12:30 Online Examination Assessment of workshop learning outcomes
12:30–13:00 Feedback of the Workshop & Closing Ceremony Summary, Participant feedback, closing remarks
Note: Bangladesh Time (BD Time) is 6 hours ahead of Greenwich Mean Time (GMT).

Target Audience

βš™οΈ Professional Engineers
🌱 Environmental Practitioners
πŸ”¬ Researchers & Academics
πŸŽ“ Postgraduate Students
πŸ›οΈ Policymakers & Urban System Managers

Speakers

Prof. Muhammed Alamgir

Muhammed Alamgir is an environmental and civil engineering expert with extensive experience in solid waste management, faecal sludge management and circular economy–based 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.

Prof. Raffello Cossu

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.

Dr. Thomas Haupt

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.

Prof. Ravshanov Alikul

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.

Prof. Md. Sazzad Hossain

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. 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.

Prof. Mohammad Suhail

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.

Gregor Biastoch

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.

Workshop Registration

Secure your place at this exclusive international workshop

Participant Registration Fee

Participant From Bangladesh BDT 10,000
International Participant USD 100
Student From Bangladesh BDT 5,000
International Student USD 50
⏰ Registration Deadline: June 05, 2026

🏦 Bank Transfer Details

Bank Janata Bank PLC
Account Title WASTESAFE ENVIRONMENTAL LIMITED
Branch Jamuna Future Park Br Branch (0973)
Account ID 0100277016162
Routing No. 135260331
Swift Code JANBBDDH
For more information click the Register Now button

Limited Seats: Only 40 participants

Get in Touch

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Email

wastesafe.bd@gmail.com
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WhatsApp

+880 1940 829424
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Website

www.wastesafe.info

© 2026 Circular Economy & AI Tools Workshop. All rights reserved.

Organized by Samarkand State University in partnership with international partners