Valentin Khaydarov

Mann mit kurzen blonden Haaren und hellem Hemd

Postdoc

Mr Dr. rer. nat. Valentin Khaydarov

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Contact Information

Process Systems Engineering Group

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Visitor Address:

Merkel-Bau, MER/13A Helmholtzstr. 18

01069 Dresden

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fax Fax: +49 351 463-39681

Office Hours:

by arrangement

RESEARCH INTERESTS

AI-enhanced Process Equipment Assemblies
Machine Learning und Computer Vision in Process Industry
Engineering of Modular Plants

SHORT BIOGRAPHY

From 2018	Postdoc in the Process-To-Order Lab, Chair of Process Control Systems and Group Process System Engineering, Prof. Urbas, TU Dresden
2018	Defense of the doctoral thesis on the topic of 'Reaction engineering and CFD study of micromixing in microreactors of different structure and its influence on chemical reactions'
2018-2014	Doctoral study to Technical Chemistry, Chair Technical Chemistry, TU Dresden, Prof. Reschetilowski
2013	Defense of the doctoral thesis on the topic of 'Mathematical modelling of flow behaviour in Microreactors'
2014-2010	Doctoral study to Mathematical Modelling, Numerical Methods and Software Tools, Chair System Analysis, SIT(TU) St. Petersburg, Prof. Holodnow
2010-2005	Higher education, Automation of Industrial Processes, SIT(TU) St. Petersburg, Prof. Kharasow

2017	Graduate assistant (WHK), Department Computational Fluid Dynamics, Helmholtz Zentrum Dresden Rosendorf
2017-2015	Graduate assistant (WHK), Chair of Vehicle Mechatronics, TU Dresden
2015	Graduate assistant (WHK), Chair of Technical Information Systems, TU Dresden

SCIENTIFIC PUBLICATIONS

2022

MTPPy: Open-Source AI-friendly Modular AutomationKhaydarov, V., Neuendorf, L., Kock, T., Kockmann, N. & Urbas, L., 9 Sep 2022, 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE Computational Intelligence Society (CIS), p. 1-7 7 p., 9921713Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Data-driven, Image-based Flow Regime Classification for Stirred Aerated TanksKröger, C., Khaydarov, V. & Urbas, L., Jun 2022, In: The 32nd European Symposium on Computer Aided Process Engineering. 2022Research output: Contribution to journal > Conference article
Hidden Markov Models und Active Learning zur automatisierten Kennzeichnung von Batchphasen in der ProzessindustrieJust, G., Khaydarov, V., Urbas, L., Klöpper, B. & Bähner, F. D., 2022, In: VDI Berichte. 2022, 2399, p. 615-624 10 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
Prescriptive and descriptive quality metrics for the quality assessment of operational dataViedt, I., Mädler, J., Khaydarov, V. & Urbas, L., 2022, GI-Jahrestagung. Demmler, D., Krupka, D. & Federrath, H. (eds.). Gesellschaft fur Informatik (GI), p. 1061-1064 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Typenbasiertes Engineering für modulare AnlagenLorenz, J., Klose, A., Viedt, I., Mädler, J., Khaydarov, V. & Urbas, L., 2022, In: VDI Berichte. 2022, 2399, p. 89-100 12 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
Virtuelle Inbetriebnahme im Engineering von Prozessanlagen mit VDI/VDE/NAMUR 2658-konformen ModulenLorenz, J., Viedt, I., Mädler, J., Klose, A., Khaydarov, V. & Urbas, L., 2022Research output: Contribution to conferences > Paper

2021

The Machine Learning Life Cycle in Chemical Operations – Status and Open ChallengesGärtler, M., Khaydarov, V., Klöpper, B. & Urbas, L., 1 Dec 2021, In: Chemie-Ingenieur-Technik. 93, 12, p. 2063-2080 18 p.Electronic (full-text) versionResearch output: Contribution to journal > Review article
Opportunities For A Hardware-Based OPC UA Server Implementation In Industry 4.0Charania, Z., Iatrou, C. P., Khaydarov, V., Jacob, R., Wittig, R., Bauer, H., Höppner, S. & 6 others, 16 Oct 2021, IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computational Intelligence Society (CIS), p. 1-6 6 p., 9589043Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2020

Predictive maintenance with NOARahm, L., Lorenz, J., Khaydarov, V., Maywald, T., Glas, T. & Urbas, L., Sep 2020, In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA. p. 761-767 7 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
From stirring to mixingKhaydarov, V., Heinze, S., Graube, M., Knuepfer, A., Knespel, M., Merkelbach, S. & Urbas, L., 2020, 2020 25TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA). Wiley-IEEE Press, p. 967-974 8 p., (IEEE International Conference on Emerging Technologies and Factory Automation-ETFA)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution