Jena, Thuringia, Germany
Enjoying to push the limits of physical limits in semiconductor manufacturing. Skilled in control engineering, signal processing, computer vision, reinforcement learning and deep learning; Equipped with programming skills and an academic publication record
Responsible for two teams developing cutting-edge algorithms (image processing, optical simulations, etc.) for the entire product portfolio of semiconductor mask solutions at ZEISS.
We are developing machine learning-based algorithmic solutions to detect events on masks used in photolithography for semiconductor manufacturing.
In the department Corporate Research & Technology / Virtual Prototyping and Computational Imaging we design machine learning and computer vision algorithms to support the business units at Zeiss to develop outstanding products which optimally serve their customers.
- Contributed to research project “Control based on Human Models” at the Chair for Information-oriented Control - Took responsibility for lectures, lab courses, tutorials, exams and supervised over 20 student projects - Coauthored grant proposal for an international project funded by the EU with over 7 million €
- Joined the Graduate Council and led the working group supervision (3-4 people) - Founded the “TUM Supervisory Award” which awards 5,000€ for outstanding supervision of PhD students
- Chaired the council consisting of approx. 50 doctoral representatives - Represented the university political interests of over 5000 doctoral candidates - Joined the Board of the TUM Graduate School, the TUM Senate, and the TUM Board of Trustees
- Represented Qatar in the human rights council at IsarMUN 2015 in Munich - Represented Vietnam in the legal committee at WorldMUN 2016 in Rome
- Improved my leadership and project management skills in an entrepreneurial qualification program - Led a team of 5 people in an innovation project with BMW