Ali Rahman

- Embedded software and firmware development on the SHARC SC-589, ARM Cortex-M0/3/M33, Cypress USB-FX3, Tensilica HiFi-4 and Raspberry Pi platforms. - Hardware and Software design for data acquisition and embedded signal processing. - PCB Design for controller interface with electrodynamic shaker systems.

Hiwi at Institut für Stromrichtertechnik und Antriebsregelung. - Kernel and device driver development for Xenomai on Intel Cyclone V SoCFPGA. - Firmware development for ARM Cortex-A9 MPcore. - Porting of power control algorithm and integration with Micrium uCOS III RTOS on ARM HPS on Cyclone V for communication with FPGA. - Implementation of AXI master on Cyclone V HPS

Hiwi at Lichtteknik. - Automated web scraping of LM-70 test report PDFs for luminaires - Tabular extraction of chromaticity and luminence data from reports of multiple formats originating from different manufacturers and testing labs in Python. - Dependence modeling and automatic report generation for class of luminaires

-Implementation of feature extraction algorithms based on cyclostationary analysis. -Implementation of data acquisition framework for retrieval, storage and feature extraction of vibration measurements from hydraulic pump testbenches, using NumPy, SciPy, Pandas, MongoDB and Parquet. -Design of extensible JSON based test suites for Rexroth's IoT Analytics REST APIs. -Implementation of automated testing frameworks in Python using PyTest for API unit testing and Locust for API and core performance testing.

RA at ETA Fabrik. Anomaly detection in machining via Time Series Analysis. Identification of faults such as cracks, dents and holes on work pieces using drive-based signals from Bosch Rexroth MTX PLC controlled EMAG VLC100Y turning machine. Tasks included: Parameter/signal subselection, feature extraction, binary (Faulty/Good) and multiclass (Fault type) classification for machining sub-processes.

Designed an embedded data acquisition device for non-intrusive load monitoring. Responsibilities included: - Implementing of acquisition and DSP algorithms on Cypress PSoC 5 SoC. - Firmware and Device Driver programming for USB isochronous communication between PSoC 5 and ARM Cortex A7 SBC. - Programming SBC for regular communication and data transfer to cloud backend. - Designing feature extraction and machine learning algorithms for energy disaggregatio-

- Worked on an industrial automation project, consisting of design and development of a LabVIEW and NI compactRIO based distributed data acquisition system. - Development of a VHF band communications system, for maritime communication, using a Texas Instruments TM4C123GHP6M ARM Cortex 4 microcontroller. - Surface wear estimation using airborne noise for a pin on disc setup under different load and lubrication.

Thesis: Landmine Detection with Copula based Data Fusion and Multiview-Imaging Courses Digital Signal Processing Statistical Machine Learning Machine Learning and Energy Advanced Topics in Statistical Signal Processing Signal Detection and Parameter Estimation Adaptive Filters Wireless Communications Communications Networks Mobile Networks

Communications Systems - Digital Signal Processing Control Systems Embedded Systems Design Computer and Communications Networks Machine Learning Solid State Electronics Mobile Communications Systems