Mohamed Kari

Academic Staff

Mohamed Kari, M.Sc.

Room:
R09 R03 H21
Telephone:
+49 201 18-36964
Email:
Consultation Hour:
jederzeit nach Vereinbarung
Homepage:
mkari.de
Address:
Universitätsstr. 9
45141 Essen

Bio:

As part of my doctoral studies, I am a machine learning researcher at Prof. Schütte's research group since March 2020. I'm also working as a machine learning researcher at Porsche AG, Stuttgart, in the Emerging Technologies team.

My main research activities revolve around Machine Learning for Enhancing In-Vehicle Experience. These activities are driven by the objective of delivering excellent research in well-known research publications.

Furthermore, I am co-leading (together with my colleage Felix Weber) the chair's research and development project concerning Digital Technologies for Enhancing Automated Decision Making in Retailing Business.

Amonst my fields of broader interest are

  • Data Engineering at Web Scale
  • Scalable (Cloud) Application Architectures for Data-Intensive Apps
  • App Design, esp. User Experience in Data-Intensive Apps

Students interested in any of these topics: Feel free to contact me! I happy to develop a topic together with you for your student project (Bachelor-/Masterprojekt) or student paper (Bachelor-/Masterarbeit) that fits your interests and expectations. 

I am currently only accepting student projects and student papers with a strong technical or formal emphasis. Please check my collegues' profiles, should you prefer a topic that doesn't involve git or latex.

Students interested in working 

  • on progressive web-app development for single-page applications (e. g. React or vue.js)
  • on mobile app development (e. g. ReactNative or Flutter, iOS-native, Android-native)
  • on service backend design and implementation (e. g. GraphQL, RESTful API, OpenAPI; e.g. Spring Boot, Flask; Docker)
  • in a machine learning framework (e. g. scikit-learn or TensorFlow, PyTorch, MXNet)

are encouraged to contact me as we are currently ramping up staff for the above-mentioned R&D project. Involvement as part of projects, papers and assistantships (also Studentische oder Wissenschaftliche Hilfskraft (SHK/WHK)) is possible. I believe that "Passion > Experience" holds. Given you like code, you're highly welcome to reach out even without previous experience in the matter you're interested in. 

Curriculum Vitae:

Please refer to my LinkedIn profile.