Johan Van Nispen Email & Phone Number

Veldhoven, North Brabant, Netherlands

Nijmegen Area, Netherlands

In preparation for the graduation assignment, participated in compulsory courses. All courses contained a theoretical and a practical part, which consisted of group or individual assignments, presentations and/or scientific reporting related to the course subject.Finished courses : Key Topics in Artificial Intelligence, Research Methods in Artificial Intelligence, Model Based Artificial Intelligence, Capita Selecta in Artificial Intelligence (subject: AI and Cybersecurity), Machine Learning, Deep Neural Engineering.

Veldhoven, North Brabant, Netherlands

Worked as a software designer in the NXE/EXE illumination group. Daily work involved the design, implementation, testing and integration of software drivers and product calibration, performance and diagnostics (CPD) software. A major part of the assignment involved the development and testing of CPD and driver software for a novel mirror heater module.Tools : C++ (C11/C14), Python, Git, Github, Agile Scrum, Jira, Google test, Google mock, Polarion, Modbus protocol

Graduated in the Data Science domain: "Probabilistic Programming for Spectroscopic Data Analysis". The research is about the modelling of vibrational spectra of chemical mixtures, using a Bayesian network, coded in the Python based probabilistic programming environment (PyMC3). The effects on the inference outcome of model and spectral data misalignments are systematically investigated. As part of the research a dataset generator was developed to simulate vibrational spectra.Tools : PyMC3, Jupyter Notebook, Python (Numpy, Matplotlib, Pandas, ArviZ, Scikit-learn), Virtualenv, Miniconda, Git, Github.

Nijmegen Area, Netherlands

For the NXP Product Line Mobile Audio (PLMA) development and maintenance of various software components and LPC firmware has been carried out. During this period, a series of technical assignments has been worked on in various roles, including:1. Preliminary investigation into the Windows audio driver architecture for DSP firmware (SpeakerBoost) integration on a future Intel platform;2. Android platform extension (on Q820 evaluation platform) with an audio effect component (LifeVibes);3. Maintenance, refactoring and implementation for the TFA98xx smart audio amplifier tuning SDK (CLI tool);4. Design and development of various components of an audio server on the BeagleBone Black demonstration board (Tiberius platform);5. Design and development of a TFA lifetime logger (LTT) on the BeagleBone Black (backend & web GUI);6. Maintenance and development of LPC4137/1850 firmware.In addition, the work included a wide range of non-technical ancillary activities, including:1. Two visits to a China-based customer (Huawei) to support the TFA9872 product integration into a mobile platform;2. Contact person for progress consultation with external parties about work on outsourced software components (USB audio drives, free RTOS core task);3. Integrate, guide and coach new teammates;4. Application interviews with potential new software engineers;5. Trusted advisor role for PLMA Nijmegen for open source software (OSS);6. SDK training and software architecture knowledge transfer to the PLMA Bangalore software team.Tools : Ubuntu (12.04/16.04) LTS, Android 5.0 (Lollipop), Android 6.0 (Marshmallow), Android 7.0 (Nougat), Debian Linux 7.0 (“wheezy”)/8.0 (“jessie”), C/C++, GCC, Python, Git, SVN, Jenkins, Jira, Confluence, Robot Framework Test Automation (RTF), Eclipse, Android Studio, MS Visual Studio 2010-2015, freeRTOS, Agile Scrum, V-model, Coolflux DSP, SpeakerBoost, Lifevibes, Beaglebone Black, ALSA, I2C, I2S, Qualcomm Q820, LPC4137/1850, TFA9888/72/74/94/96.

Eindhoven Area, Netherlands

For Intel VIED (Video and Imaging Engineering Design, previously known as Silicon Hive) work has been done on setting up a test environment for the validation of camera subsystem firmware.The work consisted of two parts:1. Design, implementation and testing of a Linux camera driver for the ISP subsystem.a. For controlling the camera subsystem (Image Signal Processor integrated on an Intel system-on-chip) a Linux kernel driver has been written that made it possible to implement various high-level camera use cases. In addition, the camera driver was controlled via a test application in Android.2. Setting up a test environment where images from an algorithmic model and generated images from the ISP subsystem could be compared and evaluated.a. To test the various processing steps within the ISP (including input formatting, standardization, de-noising, shading correction, white-balancing, de-mosaicicing, RGB correction, YUV processing, output formatting) a test environment has been set up in which image data is extracted the different sub-steps of the ISP could be compared with image data obtained from an algorithmic model (i.e. the basis for the hardware synthesis). The image data obtained from both sub-steps could then be evaluated automatically (with bit-exactness) or visually.Tools : Ubuntu 12.04 LTS, Android 4.3 (Jelly Bean), Linux, C, GCC, Python, Git, Gerrit, Bayer RGB, YUV, Algorithm Testing Environment (ATE), Klocwork, Scrum, Rational Team Concert

Veldhoven

For ASML (Metrology) work on the development & integration of product variance control software (BaseLiner™) on various TWINSCAN releases (NXE, NXT and XT) was performed. The tasks involved the design, implementation and testing (SIA-2, TPS, TAR) of proposed software changes, as well as specifying and documenting the impact of proposed changes (SIA-1) on the current software stack running on the TWINSCAN scanner (mainly within the metrology software layer).Tools : Unix (Solaris)/Linux, C, Matlab, Python, UML , Rational ClearQuest & ClearCase, CodeCollaborator, TICS, QAC, CodeSonar, BullsEye.

1. Integration of LifeVibes™ audio enhancement algorithms on the PNX0161 USB headset. For a USB Headset (PNX0161) demonstration on the World Mobile Congress 2009 in Barcelona, the real-time software stack was modified to include several LifeVibes audio enhancement algorithm’s. Next to the integration of the audio libraries an LCD driver was written to provide the listener with feedback on the active algoritm.Tools: I2C, USB-protocol, ARM7, proprietary RTOS, Linux, C, ARM compiler, RealView ICE, JTAG debugger, Subversion, MS Windows XP (Host platform).2. Verification & Validation of digital IP on the PNX0151 Mobile Audio Processor.The PNX0151 Mobile Audio Processor is an co-processor (ARM9 based) optimized for low-power, high quality audio decoding use-cases. To verify the SoC Digital IP (ARM, timer, SDMA, IRAM, IROM, SDRAM, interrupt controller, etc.), low-level unit & integration tests were designed and implemented. A test framework was created whereby each test could be configured to run individually or grouped as needed. The chip was characterized by conduction the tests over different ranges of temperature and voltage.Tools: ARM9, C, Linux, ARM compiler, RealView ICE, GNU development tools, GCC (cross) compiler, SDE2, Logic analyzer, Oscilloscope, JTAG debugger, Subversion, CUnit, Thermal Streamer.

1. Design and Implementation of Embedded Software for a Mobile Multimedia Co-Processor.The PNX4103 project was aimed at creating a component based software stack to support several multimedia use-cases (e.g. audio playback, video playback and camera preview/record). Components are created and controlled by software running on a remote client processor. The PNX4103 embedded software was developed on multiple sites. This model involved regular visits to and from the remote sites as well as regular conference calls to track development progress. All software deliverables were integrated into a software baseline at the Nijmegen site. My responsibility was to define the in- and external interfaces of the components related to video and audio processing as well as implementing the top level software layer in this column of software layers. After integration my responsibility shifted more towards analyzing and solving problem reports in the audio and video codec software stack. External developers were supported on the use of the PNX4103 software when it was used in use-cases serving as a demonstration of the processors capabilities. Tools: Component Based Development, State Charts, Message Sequence Diagrams, Use-cases, Hatley & Pirbhai, (embedded) Linux (busybox), Luddite/pSOS, tmCOM, ARM9, Trimedia, I2C, IDL, MPEG-4, HE-AAC, H.263, H.264, JPEG, DVB-H, Gentoo Linux, GNU tools, GCC (cross) compiler, SDE2, Eclipse, Logic analyzer, Oscilloscope, JTAG debugger, CM-Synergy, CVS, Subversion, Python.

1. Design and Implementation of a Linux Camera Device DriverFor the purpose of demonstrating the capabilities of the PNX4008 Mobile Multimedia Platform (manufactured by Philips Semiconductors) at the International 3GSM conference in Cannes (France), a Linux kernel driver for a camera connected to the PNX4008 was designed, developed and documented. After the conference, the knowledge gained was transferred to the Bangalore based software team by means of a workshop.Tools: Prototyping, PNX4008, OV9640, (embedded) Linux (busybox), Video4Linux (V4L), Linux device drivers, I2C, PL080 (DMA), C, GNU tools, make, GCC (cross) compiler, Oscilloscope, JTAG debugger, CVS.2. Maintenance of the 5ESS MSC GSM SoftwareThe 5ESS Mobile Switching Center (manufactured by Lucent Technologies) is a central point for routing telephone traffic in a telephone network. Several hundreds of switching centers have been operational at telecom operators worldwide since the early 90’s. In this maintenance project problem reports on the embedded software were analyzed, reviewed, implemented, tested and documented. Because of the systems high availability nature (30 minutes downtime per annum max.) formal processes around changes made to the system were in place to test, document and review changes made to the embedded software.Tools: Fagan inspection, GSM, SS7, ISDN, C, Unix.3. Maintenance of the TokenMux Embedded SoftwareThe Philips TokenMux is a system for multiplexing and demultiplexing MPEG-2 transport streams. This system has been operational with a large number of broadcasting operators since a decade. In this project, problem reports (PR) and change requests (CR) on the real-time embedded software were analyzed, implemented and documented.Tools: Methods & Technologies: Fagan inspection, MPEG-2, DVB, Motorola 68K, OS9, C, GNU tools, C (cross) compiler, Oscilloscope, MPEG transport stream analyzer, JTAG debugger, MS Visual Source Safe.

Master'S Degree, Software Engineering, Msc.

Finished the Master's programme in Software Engineering. Domain: Data Science (Machine Learning). Thesis subject: 'Probabilistic.

Certified Software Architect, Software Architecture

Course modules: Object-Oriented Analysis & Design (OOAD), Design Patterns (DP), Component Based Design (CBD) & Software Architecture (SA)

Master'S Degree, Chemical Engineering, Msc.

Pdeng., Twaio Opleiding Proces- & Apparaatontwerp Voor De Chemische Industrie

Research at TNO-MEP (Apeldoorn) on the removal of heavy metals from watery waste streams by means of precipitation in a membrane assisted.

Master'S Degree, Chemistry, Msc.

Graduated at the Surface Science group (lead by dr. Onno Gijzeman). Exchange student (Erasmus program) at the Technische Universitat.