Etienne Mueller

Ph.D. in Computer Science

• Thesis on biologically-inspired neural networks for energy-efficient computation in cooperation with Infineon Technologies AG
• Development of best-in-class deep spiking neural networks for object detection on large, high-dimensional data (>20 GB)
• Research of novel biologically-inspired approaches for natural language processing and pattern recognition with varying datasets

M.Sc. in Product Development, Materials and Production

• Thesis on the development of autonomous racing vehicles
• Awarded the Incentive Prize of the Technical University of Hamburg endowed with 1,500€

Semester Abroad

• Thesis on designing tools for workflow optimization of a waste utilization plant using CAD

B.Sc. in Mechanical Engineering

• Thesis on measuring and increasing the accuracy of industrial robots using MATLAB

Technical Advisor

• Technical coordination and leading of a pilot case for an EU-funded (Horizon 2020) project (SHOP4CF)

AI Researcher

• Research cooperation with the Technical University of Munich
• Development of an open source toolbox for conventional to spiking neural network conversion

Component Manager

• Technical supervision of cooling water pumps for electric and combustion vehicles for BMW

Formula Student Team

Developer Driverless Actuator Technology (2016 -- 2017)

• 1st Place Formula Student Driverless: Autonomous Design
• 3rd Place Formula Student Driverless: Overall

Division Manager Business Plan (2014 -- 2016)

• Special Award for educational video "How to Business Plan" at Formula Student Hungary

President & Team Captain (2013 -- 2014)

• Special Award for Ecological Design by Magna Steyr

Division Manager Aerodynamics (2012 -- 2013)

Co-founder & CEO

• Development of smart wearable devices and location-based sharing algorithms
• Awarded Nissen Foundation Start-Up Grant endowed with 3,000€

Research Assistant

• Manufacturing of components via a six-axis industrial robot and CAM software

Assistant Consultant

• Supported various corporate restructuring projects

Cognitive Systems

• Covering topics such as cognition, senses and perceptions, biological inspired computational models and neurorobotics
• Creating and grading of exams for over 400 students

Thesis Supervision in Deep Learning and Spiking Neural Networks

• Master Thesis (2021): Performance of Time to First Spike Encoded Spiking Neural Networks
• Research Internship (2021): Conversion of Analog to Spiking Transformer Networks
• Master Thesis (2021): Conversion of Analog LSTM-based Recurrent Neural Networks
• Master Thesis (2021): Conversion of Analog GRU-based Recurrent Neural Networks
• Research Internship (2020): Carla as Open Source Platform for Analyzing and Evaluating Autonomous Driving
• Master Thesis (2020): Converting Analog to Spiking Convolutional Neural Networks for Object Detection
• Master Thesis (2019): Semantic Segmentation of Integrated Circuit Layout Images