Imam Iqbal
Research Assistant
NameMr M.Sc. Imam Iqbal
Model Exchange and System Simulation Group
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Visiting address:
Barkhausenbau, BAR E16 Helmholtzstrasse 18
01069 Dresden
Research Interest
- Process modeling, simulation, and optimization
- Model predictive control
SHORT BIOGRAPHY
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Period |
Occupation |
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since 2024 |
Research Associate. Chair of Process Control Engineering and Process Systems Engineering Group, TU Dresden, Dresden, Germany |
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2013-2023 |
Senior Process Engineer. Lenzing AG |
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2010-2012 |
Research Assistant – Advanced Process Control. Universiti Sains Malaysia |
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2004-2009 |
Studying Chemical Engineering. Universitas Gadjah Mada |
PUBLICATIONS
2025
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Leveraging Machine Learning for Real-Time Performance Prediction of Near Infrared Separators in Waste Sorting Plant, 27 Jul 2025, Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35). Van Impe, J., Léonard, G., Bhonsale, S. S., Polanska, M. & Logist, F. (eds.). PSE Press, p. 1688-1693, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2024
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A digital twin architecture for waste and recycling sorting plants, 11 Nov 2024Research output: Contribution to conferences > Poster
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Efficiency and Safety in Waste Sorting: A Model Predictive Control Approach to Bale Press Automation, 11 Nov 2024Research output: Contribution to conferences > Poster
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Architecture of Digital Twin for Automating Waste and Recycling Material Sorting Process, 16 Oct 2024, 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). Facchinetti, T., Cenedese, A., Bello, L. L., Vitturi, S., Sauter, T. & Tramarin, F. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 1-4, 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2011
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Comparison of various Wiener model identification approach in modelling nonlinear process, 4 Aug 2011, In: Conference on Data Mining and Optimization, DMO. p. 134-140Electronic (full-text) versionResearch output: Contribution to journal > Conference article