Amine Ketata Email & Phone Number

Investing in university startups across Europe.

Munich, Germany

Munich, Bavaria, Germany

Munich, Bavaria, Germany

Munich

Large Language Models (LLMs) for improved customer service.

Munich, Bavaria, Germany

Data Analytics and Machine Learning Group (Prof. Dr. Stephan Günnemann)- Working on molecular graph generation using equivariant graph neural networks and diffusion generative models.

Munich, Bavaria, Germany

Data Analytics and Machine Learning Group (Prof. Dr. Stephan Günnemann)- Adapted, implemented, and benchmarked three uncertainty estimationmethods for four recent GNN models for molecular property prediction.- Co-authored a survey paper published in ICML 2023. "Uncertainty Estimation for Molecules: Desiderata and Methods"

Munich, Bavaria, Germany

Lecturer: Prof. Dr. Stephan GünnemannGraded around 30 homework sheets weekly with theoretical and practical exercises and answered students’ questions

Munich

Computer Vision, Object Detection.

Collaboration with Prof. Tommi S. Jaakkola and Prof. Regina Barzilay research groups.- Worked on rigid protein-protein docking using diffusion generative models- Developed DiffDock-PP, a new state-of-the-art model on rigid protein-protein docking, published in ICLR 2023 MLDD workshop.

Munich, Bavaria, Germany

- Developed an end-to-end vision system to automatically detect when items go out of their planned trajectory during their transportation for a pharmaceutical firm- Co-developed a talking humanoid and a Brain-Computer-Interface device that were presented as prototypes at national conferences

Munich, Bavaria, Germany

Made open-source contributions to the 3D Robot Visualizer tool (rviz) and the communication package (rosbag) of ROS2

Munich, Bavaria, Germany

Topic: Data Standardization, Multi-Domain Learning and GRAPPA preprocessing for Improved Magnetic Resonance Imaging (MRI)Grade: 1.0

Munich, Bavaria, Germany

Worked as a Tutor in Linear Algebra and higher Mathematics in three different positions for two semesters

Doctor Of Philosophy - Phd, Machine Learning

Master Of Science - Ms, Robotics, Cognition, Intelligence

Courses in AI, ML, DL, Computer Vision, Robotics, Control.

Exchange Semester, Computer Science

Courses: - CS 540 Deep Learning Theory - CS 542 Statistical Reinforcement Learning - ECE 517 Nonlinear and Adaptive Control

Bachelor Of Science - Bs, Electrical And Computer Engineering

Focus: Automation, Machine Learning and Artificial Intelligence Graduated with high distinction, overall grade: 1.0

Athens Programme, Electrical And Computer Engineering

Course: Energy Sources, Conversion and Storage

German Assessment Test, 1.1

Intensive German course

Baccalaureate, Mathematics, 19,24/20

Presidential award for the nationwide highest overall score in Baccalaureate 2017