Aydin Uzun

Conducted research on enhancing LiDAR-based 3D Object Detection for autonomous vehicles using synthetic point cloud data generated through Ansys AVxcelerate CarMaker Co-Simulation process. Investigated integration, alignment and fine-tuning techniques within Pointpillars network to optimize model performance with real-world and synthetic data. Generated a synthetic replica of the KITTI dataset, evaluated performance metrics of diverse data types, and analyzed the impact of pre-training

Contributed to the KI Data Tooling project, a key initiative under the umbrella of VDA Leitinitiative’s autonomous and connected driving Generated virtual sensor data through both static and dynamic simulations, leveraging Ansys Speos and Ansys AVxcelerate Sensors respectively. Implemented LiDAR simulations for KI Data Tooling use cases, producing synthetic data that aided AI-based functionalities. Utilized tools included Ansys Speos, Ansys AVxcelerate Sensors, CarMaker, and Python.

System Theory of the Senses, Teaching Assistant Signal Processing for Audio Technology, Teaching Assistant

Involved in a research practice project ’Wind Error Analysis in the Bayesian Inversion Framework’. Leveraged MATLAB for numerical computations and visualizations, and R for statistical computing and graphics Managed large-scale job submissions on a SLURM cluster using shell scripting, employing data handling tools Applied these techniques to an atmospheric data processing project, generating weighted histograms, calculating daily variances, and adjusting footprints for enhanced prediction model accuracy.

Conducted electromagnetic field simulations on various on-chip test structures using Keysight Momentum and Cadence Virtuoso, followed by comprehensive comparison of the simulation results with DC measurements up to 110 GHz using MATLAB. Reprocess raw measurements via de-embedding procedures in MATLAB. Played a key role in investigative analysis to identify the root-causes of discrepancies between simulation outcomes and actual measurements.

System Theory of the Senses, Teaching Assistant

Modeled and evaluated performance of implantable antennas Performed extensive analysis of antenna designs (CBSA, Coaxial-Slot, and C-Type Slotted) using Ansys Workbench and HFSS software. Developed a miniaturized circular slot antenna prototype Facilitated phantom development emulating the dielectric and thermal properties of human fat for testing setup. Managed antenna production via an LPKF device and conducted thermal measurements, validating antenna performance at a 2.45 GHz operating frequency.

Designed and developed a dorsoventral ballistocardiographic measurement system to detect ballistocardiographic impedance distortions in capacitive ECG, focusing on the impact of human body’s physiological vibrations on coupling impedance. Developed MATLAB scripts for data acquisition and analysis, implementing various Digital Signal Processing (DSP) techniques. Conducted experiments on healthy subjects to collect data and validate system performance.

Participated in the Trans Anatolian Natural Gas Pipeline (TANAP) project, focusing on electrical aspects. Utilized AutoCAD for drawings and Excel for analysis. Performed station analyses, electrical calculations, and data compilation related to distribution boards. Engaged in error detection and correction for AutoCAD files, and verified corrected documents.

Master’s Thesis: Enhancing LiDAR-based 3D Object Detection through Simulation

- Bachelor’s Thesis: Design of an antenna taking action against infection before and during the biofilm formation through microwave hyperthermia - summer research at RWTH Aachen - exchange semester at Technische Universität Darmstadt, 50 credit points