Erdal AYDIN

Asst. Prof.
Address: 
Department of Chemical Engineering, Boğaziçi University, Bebek 34342, Istanbul-TURKEY
Phone: 
+90 (212) 359 7375
Education: 

PhD: Process Systems Engineering, Max Planck Institute, Germany , 2018
MS: Chemical and Biological Engineering, Koc University, Turkey, 2015
BS: Chemical Engineering, METU, Turkey, 2013

Experience: 

- Assistant Professor of Chemical Engineering (since 11/2019), Bogazici University, Istanbul-Turkey

- Post-Doctoral Research Associate (2018-2019), MIT, USA

- Scientific Employee, Max Planck Society (2015-2018), Germany

- Research and Teaching Assistant (2013-2015), Koc University, Turkey

- Student Assistant (2012-2013), METU, Turkey

Honors and Awards: 

- TUBITAK 2232 International Fellowship for Outstanding Researchers

Research Interests: 

decision making under uncertainty, energy systems engineering; stochastic programming; indirect optimization algorithms; nonlinear model predictive control, optimal experimental design; dynamic modeling, parameter estimation; sensitivity analysis; complexity reduction

Selected Papers: 

1) Aydin, E., Celebi, A. D., Sildir, H., Arkun, Y., Canan, U., Is, G., & Erdogan, M. (2015). Dynamic modeling of an industrial diesel hydroprocessing plant by the method of continuous lumping. Computers & Chemical Engineering, 82, 44-54.

2) Aydin, E., Arkun, Y., Is, G., Mutlu, M., & Dikbas, M. (2016). Plant-wide optimization and control of an industrial diesel hydro-processing plant. Computers & Chemical Engineering, 87, 234-245.

3) Aydin, E., Arkun Y., Is, G. Economic Model Predictive of an Industrial Diesel Hydroprocessing Plant. IFAC-PapersOnLine, 49(7), 568-573.

4) Aydin, E., Bonvin D., Sundmacher, K.  Dynamic optimization of constrained semi-batch processes using Pontryagin’s Minimum Principle—An effective quasi-Newton approach. Computers & Chemical Engineering 99 (2017): 135-144.

5) Aydin, E., Bonvin D., Sundmacher, K.  Dynamic Optimization of Constrained Semi-batch Processes using Pontryagin’s Minimum Principle and Parsimonious Parameterization. In Computer Aided Chemical Engineering. 40 (2017). 2041-2046.

6) Aydin, E., Bonvin, D., Sundmacher, K. NMPC using Pontryagin’s Minimum Principle – Application to a two-phase Hydroformylation reactor under uncertainty. Computers & Chemical Engineering, 108 (2018): 47-56.

7) Aydin, E., Bonvin, D., Sundmacher, K. Computationally Efficient NMPC for Batch and Semi-Batch Processes using Parsimonious Input Parameterization. Journal of Process Control, 66 (2018): 12-22.

8) Aydin, E., Bonvin, D., Sundmacher, K. Toward Fast Dynamic Optimization: An Indirect Algorithm that Uses Parsimonious Input Parameterization. Industrial and Engineering Chemistry Research, 57 (2018): 38-48.

Research Laboratory: