Bernhard Großwindhager

• Definition of Go-to-market strategy, new use cases, business models, system architectures, and product specifications to enhance the Ultra-wideband (UWB) ecosystem around the vehicle and mobile phone. The aim is to make UWB an integral technology of the IoT and a digitalized world. • Size target markets and define value propositions and lead customers. • Contribution to the IEEE 802.15.4 standard defining low-rate wireless personal area networks.

• Developed a highly accurate surgical navigation system. • Applied for startup- and scientific grants. • Responsible for the hardware-related aspects of the company’s strategy. • The company was awarded with the EDISON 2018 and the i2B business plan award 2019.

• Generated hypotheses in the field of wireless communication and localization, specifically using ultra-wideband (UWB) technology. • Designed the first low-cost UWB positioning system exploiting multipath information and a highly scalable solution. The latter was awarded with Best Paper Award at the A* conference IPSN 2019. • Authored the dissertation ‘Robust, Efficient, and Scalable UWB-based Positioning using Multipath and Quasi-simultaneous Transmissions’ incorporating all the hypotheses and findings.

• Aligned research expertise of TU Graz and UC Berkeley to identify potential fields of cooperation. • Collaborate with the research group lab11 to design efficient UWB-based positioning systems.

• Managed overall operations of R&D projects, including vehicular communication and connectivity. • Designed and improved Magna Steyr Car-2-X communication platform. • Validated advanced driver assistance systems (ADAS) and automated driving functions (ADF). • Crafted concepts for indoor/outdoor vehicular positioning system based on GPS, UWB, and BLE.

• Interacted with key researchers to set up hypotheses regarding vehicular communication systems. • Investigated applicability of Car-2-X standards by implementing six use cases on Cohda Wireless platforms. • Integrated the Car-2-X platform into series vehicles. • Authored the master's thesis ‘Implementation and Verification of a Standards-Compliant Car-2-X Demonstrator’ incorporating the key findings.

• Designed real-time signal processing algorithms and EEG/ECoG-based Brain Computer Interfaces with MATLAB/Simulink. • Developed an impedance measurement system to identify conductivity of EEG electrodes. • Built hardware and software, including PCB design, control engineering for robots, firmware programming in C, visualization and analysis tools in MATLAB and C++.

• Teaching assistant for the lecture 'Fundamentals of RF and Microwave Engineering'.

• Developed ECoG-based Brain Computer Interfaces in MATLAB/Simulink. • Verified and validated real-time brain mapping methods using ECoG in clinical settings.

• International internship in the United States. • Designed PLC control software (Mitsubishi systems) for industrial band saws.

PhD Thesis: Robust, Efficient, and Scalable UWB based Positioning using Multipath and Quasi-simultaneous Transmissions

Exchange Semester - Supported by a scholarship of AVL List GmbH in Graz, Austria.

Master's Thesis: 'Implementation and Verification of a Standards-Compliant Car-2-X Demonstrator' in cooperation with Virtual Vehicle Research Center and Magna Steyr.

Bachelor Thesis: 'Research and Development of ASICs in Biomedical Devices' in cooperation with g.tec medical engineering GmbH.

Thesis: ‘Brain Computer Interface’