Imam Iqbal

Wissenschaftlicher Mitarbeiter

Herr M.Sc. Imam Iqbal

Model Exchange and System Simulation Gruppe

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Kontaktinformationen

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Besuchsadresse:

Barkhausenbau Helmholtzstrasse 18

01069 Dresden

Research Interest

SHORT BIOGRAPHY

Period	Occupation
since 2024	Research Associate. Chair of Process Control Engineering and Process Systems Engineering Group, TU Dresden, Dresden, Germany
2013-2023	Senior Process Engineer. Lenzing AG
2010-2012	Research Assistant – Advanced Process Control. Universiti Sains Malaysia
2004-2009	Studying Chemical Engineering. Universitas Gadjah Mada

PUBLICATIONS

5 Einträge

Leveraging Machine Learning for Real-Time Performance Prediction of Near Infrared Separators in Waste Sorting PlantIqbal, I. M., Wang, X., Viedt, I. & Urbas, L., 27 Juli 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. (Hrsg.). PSE Press, S. 1688-1693, 6 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband

A digital twin architecture for waste and recycling sorting plantsParbat, S., Iqbal, I. M., Viedt, I. & Urbas, L., 11 Nov. 2024Publikation: Beitrag zu Konferenzen > Poster
Efficiency and Safety in Waste Sorting: A Model Predictive Control Approach to Bale Press AutomationIqbal, I. M., Parbat, S., Viedt, I. & Urbas, L., 11 Nov. 2024Publikation: Beitrag zu Konferenzen > Poster
Architecture of Digital Twin for Automating Waste and Recycling Material Sorting ProcessParbat, S., Iqbal, I. M., Viedt, I. & Urbas, L., 16 Okt. 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. (Hrsg.). Institute of Electrical and Electronics Engineers (IEEE), S. 1-4, 4 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband

Comparison of various Wiener model identification approach in modelling nonlinear processIqbal, I. M. & Aziz, N., 4 Aug. 2011, in: Conference on Data Mining and Optimization, DMO. S. 134-140Elektronische (Volltext-)VersionPublikation: Beitrag in Fachzeitschrift > Konferenzartikel

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