Minh Nguyen

As part of my Master Thesis and in the context of the VeriComp project, I'm heavily involved in the development of two Domain-Specific Languages (DSL) used in modeling robot motion control architectures. Models composed using these languages can be generated into C implementation, which has been integrated into full motion control schemes and successfully tested on the Kinova Gen3 manipulator. Project presentation: https://techfak.de/~jmoringe/vericomp-video-fragments/presentation.ogv

I worked as a developer for the E-exam project at the University, mainly to create a platform for ordinal peer grading (OPG), where students can evaluate other students via ranking their answers (as opposed to giving a numeric score in cardinal peer grading). Data generated from the platform can then be used to train grading models, building towards automated short-answer grading for aiding professors and teaching assistants. Developed components: https://digiklausur.github.io/ccm_components

* Created an application to monitor, report and download daily builds (C# .NET) * Improved and implemented features for web reports of the project’s development cycles (MVC ASP.NET) * Began developing a new feature to learn from previous user commands to suggest next most probable ones. * Wrote tests and implement functionalities to assess product performance (C++)

* Ported MK’s C-based smart card operating system (MKCOS) onto Infineon and STMicroelectronics microcontrollers. * Ported MK’s Java Card operating system (MK-jCOS) onto Infineon microcontrollers. * Developed a program to control Raspberry Pi computer boards via TCP/IP for a new smart card testing framework. * Became familiar with ISO/IEC 7816 interface and encryption standards.

* Ported Freescale MQX Real-Time OS onto several development boards as requested. * Fixed bugs and tested features for MQX. * Designed test templates for new features and development boards.

Developed an I2C interface in VHDL for communication between an FPGA board and a 3D compass/accelerometer.

Maschinelles Lernen, Computer Vision und Robotik

Embedded Engineering and Robotics