Mikael Yamanee-Nolin

Doctoral Student

Research

Research focused on model-based optimization of complex chemical production systems with respect to efficient usage of raw material by utilizing state-of-the-art dynamic process flowsheeting software coupled to the programming language Python. Working with both flowsheeting models as well as deep learning models. Also working with preparative chromatography for the purification of biopharmaceuticals, and blue-green systems for urban flooding mitigation. Quite the mix, and very rewarding, with lots of opportunities for participating in teamwork and driving projects forwards.

Teaching

Teaching and developing the course Transport Phenomena given to year 2 students at Chemical and Biotech Engineering.

Recent research outputs

Löfgren, A., Mikael Yamanee-Nolin, Tallvod, S., Fons, J. G., Niklas Andersson & Bernt Nilsson, 2019 Jun 17, In : Biotechnology Progress. e2871.

Research output: Contribution to journalArticle

Mikael Yamanee-Nolin, Löfgren, A., Niklas Andersson, Bernt Nilsson, Max-Hansen, M. & Pajalic, O., 2019 Jun 16, Computer Aided Chemical Engineering. Elsevier Science Publishers B.V., p. 721-726 6 p. (Computer Aided Chemical Engineering; vol. 46).

Research output: Chapter in Book/Report/Conference proceedingBook chapter

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