Evren Mert Turan
About
I am in the Process Systems Engineering group, supervised by Prof Johannes Jäschke. My research focuses on efficient optimization despite system uncertainty. This includes tasks such as model fitting, real time optimization, robust optimization, and control under uncertainty.
Competencies
Publications
2024
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Turan, Evren Mert;
Jäschke, Johannes.
(2024)
Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty.
Journal of Process Control
Academic article
2023
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Turan, Evren Mert;
Jäschke, Johannes.
(2023)
A simple two-parameter steady-state detection algorithm: Concept and experimental validation.
Computer-aided chemical engineering
Academic article
-
Turan, Evren Mert;
Lia, Maren Sofie;
Assumpcao Matias, Jose Otavio;
Jäschke, Johannes.
(2023)
Experimental validation of modifier adaptation and Gaussian processes for real time optimisation.
IFAC-PapersOnLine
Academic article
2022
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Turan, Evren Mert;
Kannan, Rohit;
Jäschke, Johannes.
(2022)
Design of PID controllers using semi-infinite programming.
Computer-aided chemical engineering
Academic article
-
Turan, Evren Mert;
Jäschke, Johannes.
(2022)
Designing neural network control policies under parametric uncertainty: A Koopman operator approach.
IFAC-PapersOnLine
Academic article
2021
-
Turan, Evren Mert;
Jäschke, Johannes.
(2021)
Classification of undesirable events in oil well operation.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Turan, Evren Mert;
Jäschke, Johannes.
(2021)
Multiple shooting for training neural differential equations on time series.
IEEE Control Systems Letters
Academic article
-
Turan, Evren Mert;
van Steen, Eric;
Möller, Klaus P..
(2021)
Comparison of mechanisms for the direct, gas phase, partial oxidation of methane to methanol.
Chemical Engineering Science (CES)
Academic article
Journal publications
-
Turan, Evren Mert;
Jäschke, Johannes.
(2024)
Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty.
Journal of Process Control
Academic article
-
Turan, Evren Mert;
Jäschke, Johannes.
(2023)
A simple two-parameter steady-state detection algorithm: Concept and experimental validation.
Computer-aided chemical engineering
Academic article
-
Turan, Evren Mert;
Lia, Maren Sofie;
Assumpcao Matias, Jose Otavio;
Jäschke, Johannes.
(2023)
Experimental validation of modifier adaptation and Gaussian processes for real time optimisation.
IFAC-PapersOnLine
Academic article
-
Turan, Evren Mert;
Kannan, Rohit;
Jäschke, Johannes.
(2022)
Design of PID controllers using semi-infinite programming.
Computer-aided chemical engineering
Academic article
-
Turan, Evren Mert;
Jäschke, Johannes.
(2022)
Designing neural network control policies under parametric uncertainty: A Koopman operator approach.
IFAC-PapersOnLine
Academic article
-
Turan, Evren Mert;
Jäschke, Johannes.
(2021)
Multiple shooting for training neural differential equations on time series.
IEEE Control Systems Letters
Academic article
-
Turan, Evren Mert;
van Steen, Eric;
Möller, Klaus P..
(2021)
Comparison of mechanisms for the direct, gas phase, partial oxidation of methane to methanol.
Chemical Engineering Science (CES)
Academic article
Part of book/report
-
Turan, Evren Mert;
Jäschke, Johannes.
(2021)
Classification of undesirable events in oil well operation.
IEEE conference proceedings
Academic chapter/article/Conference paper
Knowledge Transfer
2022
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Academic lectureTuran, Evren Mert; Jäschke, Johannes. (2022) Neural network control policies for uncertain systems. Nordic Process Control Workshop 2022 2022-03-16 - 2022-03-18
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Academic lectureTuran, Evren Mert; Jäschke, Johannes. (2022) Online Steady and Transient State Detection using the Dickey-Fuller Test . 2022 AIChE Annual Meeting 2022-11-13 - 2022-11-18
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Academic lectureTuran, Evren Mert; Jäschke, Johannes; Kannan, Rohit. (2022) Improved Bounding Methods for Semi-Infinite Programs . INFORMS Annual Meeting 2022-10-16 - 2022-10-19
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Academic lectureTuran, Evren Mert; Jäschke, Johannes; Kannan, Rohit. (2022) Tighter Lower Bounds for Semi-Infinite Programming Using Parametric Sensitivity Theory. 2022 AIChE Annual Meeting 2022-11-13 - 2022-11-18
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Academic lectureTuran, Evren Mert; Jäschke, Johannes. (2022) Multiple shooting for training neural differential equations on time series. American Control Conference 2022 2022-06-08 - 2022-06-10