Thanks to his research internships at MIT in the USA and Tsinghua University in China, as well as his involvement in various software projects at Microsoft and a start-up company, he has extensive knowledge in the field of information technology. This expertise is further supported by his two years of professional experience as an automation technician. Last but not least, Jan is able to advise clients not only in German and English, but also in French and Czech, all of which he has at least a C1 level of certified proficiency in.
Expertise
- Intellectual property law
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
- Information technology
Career and education
2025 University of Edinburgh, LL.M. (ongoing)
2025 Fernuniversität Brig, BLaw (ongoing)
2023 ETH Zürich, Dr. sc. in Mechanical
Engineering
2019 ETH
Zürich, MSc in Mechanical Engineering
2018 MIT, Research Internship
2017 Prague Academy of Crafts, Electrotechnician
2017 Czech
Technical University in Prag, BSc in Mechanical Engineering
Publications and lectures
- Ševeček, M., Krejčí, J., Shahin, M. H., Petrik, J., Ballinger, R. G., & Shirvan, K. (2018). Fatigue behavior of cold spray-coated accident tolerant cladding. Proceedings of the TopFuel.
- Shahin, M., Petrik, J., Seshadri, A., Phillips, B., & Shirvan, K. (2018). Experimental investigation of cold-spray chromium cladding. Topfuel, 1-10.
- Petrik, J., Sydow, B., & Bambach, M. (2022). Beyond parabolic weld bead models: AI-based 3D reconstruction of weld beads under transient conditions in wire-arc additive manufacturing. Journal of Materials Processing Technology, 302, 117457.
- Petrik, J., & Bambach, M. (2023). Reinforcement learning and optimization based path planning for thin-walled structures in wire arc additive manufacturing. Journal of Manufacturing Processes, 93, 75-89.
- Petrik, J., Kavas, B., & Bambach, M. (2023). MeltPoolGAN: Auxiliary Classifier Generative Adversarial Network for melt pool classification and generation of laser power, scan speed and scan direction in Laser Powder Bed Fusion. Additive Manufacturing, 78, 103868.
- Petrik, J., Ali, S. I., Feistle, M., & Bambach, M. (2024). CrystalMind: A surrogate model for predicting 3D models with recrystallization in open-die hot forging including an optimization framework. Mechanics of Materials, 189, 104875.
- Petrik, J., & Bambach, M. (2024). RLTube: Reinforcement Learning Based Deposition Path Planner for Thin-Walled Bent Tubes with Optionally Varying Diameter Manufactured by Wire-Arc Additive Manufacturing. Manufacturing Letters.
- Petrik, J., & Bambach, M. (2024). RLTube: A Reinforcement Learning Approach for Deposition Path Planning of Bent Tubes in Wire Arc Additive Manufacturing. Minerals, Metals & Materials Society (TMS) Annual Meeting 2024.
- Sideris, I., Petrik, J., and Bambach, M (2024). Too hot to print, too slow to handle; finding optimal path characteristics for WAAM." 52nd SME North American Manufacturing Research Conference.
Office/location
Zurich
Languages
- German
- English
- French
- Czech
- LES (Lisensing Executives Society - the specialist association for licensinig, technology transfers and intellectual property)
- VESPA (Association of European and Swiss Patent Attorneys in private practice)
- VSP (Association of Swiss Patent and Trademark Attorneys)