Bo-Yue Zeng

Skill: C++, OpenMP, CUDA, HPC, GitLab CI/CD • Develop and optimize C++ research software for molecular dynamics and kinetic Monte Carlo simulations of molecular self-organization on surfaces. • Implement spatial domain decomposition to process the simulation domain in parallel. • Integrate the C++ library Alpaka3 and offload computationally intensive simulation steps to accelerators, including the design and implementation of suitable algorithms, data structures, and data transfers.

Skill: C++, Boost, ROS 2, TCP, UART, MQTT • Develop hardware-facing robot-control APIs for distributed cyber-physical systems with MQTT and ROS 2 interfaces, as well as near-real-time sensor-data transmission over TCP and UART. • Analyze existing robot hardware, power-supply wiring, and communication interfaces to support software integration. • Tutor students in Embedded Systems Lab, Real-Time Systems, and Dependable Systems.

Skill: C/C++, AUTOSAR Classic, AURIX, CAN • Implemented an AUTOSAR-based lane-change application for a vehicle demonstrator using an Infineon AURIX TC38x microcontroller. • Configured and integrated communication, ADC, PWM, and CAN modules according to project requirements. • Developed and implemented Hall-sensor-based lane detection, including acquisition, filtering, and evaluation of sensor signals

Current grade average: 1.56 • Master’s thesis (in progress): Hardware Abstraction Layer for Legacy Robot Swarm via ROS 2. • Award: First place at the IEEE TUC Hackathon (Sept. 2022). • Internship: Elektrobit Automotive GmbH (Jan. 2024 – Aug. 2024). • Selected coursework: Hardware/Software Codesign, Embedded Software Lab, Advanced Platforms for Automotive Systems, Software Service Engineering, and Multicore Programming.

Final grade: 2.7 • Bachelor’s thesis: Imitation of Human Hand Drawing: Integration of Robot Arm and Machine Vision. • Awards: Internship Excellence Award; Best Presentation Award at the 12th ICAST. • Internship: Precision Machinery Research and Development Center (Aug. 2017 Dec. 2017). • Selected coursework: Intelligent Sensor Networks, Machine Learning, Computer Graphics, Signals and Systems, and Cloud Radio Access Networks (C-RAN) and Their Applications.