D. (Dilek) Düstegör, PhD

Ongoing Projects

• Data Science Training for Solving Manufacturing Issues

  • Sponsor: EIT-Manufacturing. Total budget: €388,516. Date: July 2024 - June 2025. My role: Consortium member; Lead for Solution Development

    The project focuses on the training of professionals for the digital transformation and a sustainable manufacturing of the future. Following a blended andragogical learning approach, learners will be trained to design, develop, implement and deploy the correct Artificial Intelligence (AI) and Data Science (DS) solution adapted to real manufacturing cases, especially related to production systems optimization, quality control and maintenance.

• DDTClean: Intelligent Wastewater Treatment: Distributed Digital Twin for Clean Water

  • Sponsor: NWO-Green Water Processes. Total budget: €700,000 (funding two phd students, one under my supervision). Date: May 2024 - May 2028. My role: PI

    DDTclean focuses on the development of future-facing wastewater treatment technologies. These novel technologies can provide intelligent wastewater governance, including collection and treatment, with the help of electrochemical-membrane technologies and scalable Artificial Intelligence enhanced distributed Digital Twin framework. This project addresses the existing dilemma of low treatment efficiency of decentralised wastewater, while facilitating the communication and coordination of multiple stakeholders, aiming to improve the environmental quality, especially in remote areas, and to contribute to system-wide optimal operations.

• AISME: Supporting AI solutions in SMEs

  • Sponsor: EIT-Manufacturing. Total budget: €311,066. Date: January 2023 - December 2024. My role: Consortium member; Lead for "skills gap analysis and main training outcomes design", and owner of "maintainability learning path".

    AISME is a European project funded by EITM that is building courses for the digital transformation, from SMEs to SMEs. AISME project aims at training managers, engineers and technicians, working in or for SMEs, guiding manufacturing SMEs to implement AI solutions.

Past Projects:

• more details here.