معرفی
Sergio Lucia is a Full Professor (W3) for Process Automation Systems at Technische Universität Dortmund within the Department of Biochemical and Chemical Engineering since 2023. He previously served as a W2/W3 Professor (2020-2023) and W1 Assistant Professor at TU Berlin (2017-2020). His research focuses on the intersection of control engineering, numerical optimization, and machine learning, with applications in chemical processes, biotechnology, and energy systems. He leads the Laboratory of Process Automation Systems (Building G2, North Campus) and has held prestigious roles including Vice Chair of IFAC Technical Committee on Optimal Control since 2020.
- Education: Dr.-Ing. (summa cum laude) in "Robust multi-stage nonlinear model predictive control" (2014)
- Postdoctoral: Massachusetts Institute of Technology (2016), Otto-von-Guericke University Magdeburg (2015-2017)
- Alumni: Research Assistant at TU Dortmund (2010-2014), Diploma in Electrical Engineering (2010)
His research explores novel methods to bridge theory and applications in control engineering, particularly through model predictive control (MPC) innovations. Recent work emphasizes robustness under uncertainty, Bayesian optimization, deep learning integration, and privacy-preserving federated learning for industrial applications. His 2025 publications address challenges in chemical recycling networks, crystallization processes, and serverless computing triggers.
Scientific recognition includes:
- Teaching award (2023)
- Best student paper awards (2022, 2021)
- VAA Dissertation Award (2015)
- Erasmus Scholarship (2010)
- M.Sc. Extraordinary Career Award (2011)
As a dedicated educator, he refines courses to enhance learning outcomes and mentors PhD students Sarah Braun and Benjamin Karg. His laboratory at TU Dortmund's North Campus is strategically located near the H-Bahn monorail system for accessibility.
