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Workshop on Advanced Water Treatment Processes
Workshop on Advanced Water Treatment Processes
Date: July 10, 2024; Duration: 3 hours (Online)
Overview:
TULTECH is excited to present a one-day workshop focusing on advanced water treatment processes where we explore key environmental aspects, simulation techniques, and modeling methodologies. This workshop aims to provide a comprehensive understanding of the latest developments and practical approaches in the field of water treatment.
Participants will gain valuable insights and practical skills through interactive sessions, expert presentations, and real-world case studies. This workshop is ideal for environmental engineers, researchers, and professionals seeking to enhance their knowledge and application of advanced water treatment processes.
Key Topics:
- Environmental Aspects of Water Treatment Processes
- Simulation of Struvite Precipitation from Synthetic Wastewaters
- Isothermal Adsorption Modelling for Water Treatment
- Post-Workshop Manuscript Development
Instructors:
Dr. Sonila Vito
University of Tirana, Albania
Dr. Mohammad Eftekhari
University of Neyshabur, Iran
Ing. Mohammad Gheibi
Technical University of Liberec, Czech Republic
Registration Details:
Workshop Fee: 110 Euro
Registration Deadline: July 7, 2024
Full Waiver Option Available (For applicants facing financial difficulties, TULTECH offers a full fee waiver as part of its mission for Education Beyond Limits.)
Publication Opportunity:
Participants have the unique chance to develop a manuscript during the workshop, with the possibility of publication in the Environmental Industry Letters (EIL) journal (ISSN: 2806-2965).
Post-workshop support for extended versions in Q1 journals is also available.
Join us in Exploring the Future of Water Treatment Processes!
Register Closed!
Education Beyond Limits
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Post-workshop update and materials
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Past Events
Workshop on Artificial Intelligence Applications in Smart Cities
20 August, 2024Workshop on Advanced Water Treatment Processes
10 July, 2024Workshop on Water Recycling Simulation and Modelling
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