Dr. Franziska Mathis Ullrich

Professor

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Biography

Franziska Mathis-Ullrich is a professor of surgical robotics at Friedrich Alexander University Erlangen-Nuremberg (FAU), where she leads the Surgical Planning Robotic Cognition Lab (SPARC). She joined FAU in 2023 after serving as an assistant professor at Karlsruhe Institute of Technology (KIT) since 2019. Her primary research focus is on minimally invasive systems that involve cognition-controlled robotic systems, with an emphasis on applications in surgery. She earned her B.Sc. and M.Sc. in mechanical engineering with a specialization in robotics from ETH Zurich in 2009 and 2012, respectively, and completed her Ph.D. in Microrobotics at the same institution in 2017. Prof. Mathis-Ullrich has received numerous international accolades for her contributions to the field, including the IEEE ICRA Paper Award in Medical Robotics (2014), the IEEE BioRob Student Paper Award (2016), and she has secured the team prize at the ICRA Microassembly Challenge in 2014 and 2015. Additionally, she was recognized in the prestigious Forbes “30 Under 30” list in 2017.

Research Interests

Experience

Assistant Professor

2019-01-01 — 2023-01-01

Karlsruhe Institute of Technology • Karlsruhe, Germany

Served as an assistant professor specializing in robotic systems.

Awards

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IEEE ICRA Paper Award in Medical Robotics

2014-01-01
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IEEE BioRob Student Paper Award

2016-01-01
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ICRA Microassembly Challenge Team Prize

2014-01-01
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ICRA Microassembly Challenge Team Prize

2015-01-01
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Forbes 30 Under 30

2017-01-01

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).