Zafer Attal, M.Sc.
Research Associate
Technical University of Munich
TUM School of Computation, Information and Technology
Chair of Integrated Systems
Arcisstr. 21
80290 München
Germany
Phone: +49.89.289.23853
Fax: +49.89.289.28323
Building: N1 (Theresienstr. 90)
Room: N2138
Email: zafer.attal(at)tum.de
Curriculum Vitae
Education
- 2019 - 2022 Master of Science in Communication Engineering, Technical University of Munich, Munich, Germany
- 2015 - 2019 Bachelor of Science in Electrical and Electronics Engineering, Middle East Technical University, Turkey
Work Experience
- 2024-present PhD student at the Chair of Integrated Systems, Technical University of Munich, Munich, Germany
- 2022 - 2023 Graphics System Design Engineer, Infineon Technologies, Munich, Germany
Research
Available Work
Ongoing Work
Localizing Automotive Diagnostic Solutions: Software Migration and PS/PL Interface Implementation on ZCU102
Description
About the Project:
Future cars rely on a wide variety of sensors—including cameras, LiDARs, and RADARs—that generate enormous amounts of data. This data flows through the intra-vehicular network (IVN) to processing nodes, ultimately triggering actuators. With strict timing constraints essential for vehicle safety, time-sensitive networking (TSN) is now a critical component in modern automotive systems. Within the context of the EMDRIVE project, our team is developing new monitoring and diagnostic approaches to detect errors early and maintain functional safety in highly automated driving environments.
Project Description:
The primary goal of this project is to migrate existing software packages—used to record ECU traces and analyze processing anomalies—onto the ZCU102 board. This migration will enable local processing of anomalies and establish a robust PS/PL interface between the anomaly detection hardware (implemented on the FPGA) and the processing system running the software.
The key tasks include:
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TAS Tool Configuration: Bring up the TAS tool and configure it to work with the Multi Core Debug Solution (MCDS) for trace recording.
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Trace Analyzer Deployment: Bring up and configure the Trace Analyzer to parse recorded traces and detect deviations in processing.
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Software Migration: Migrate the existing software packages to run on the Processing System (PS) of the ZCU102 board.
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Interface Integration: Develop and integrate a stable interface between the Programmable Logic (PL) and the PS, ensuring efficient sharing of data, status, and configuration information.
Key Responsibilities:
- Analyze existing software packages and understand the hardware integration requirements.
- Configure and validate both the TAS tool and the Trace Analyzer.
- Adapt and optimize software for deployment on the ZCU102 board.
- Develop and implement a robust PS/PL interface for seamless communication between hardware and software.
- Collaborate with interdisciplinary teams to integrate and test the complete system.
Prerequisites
Required Skills:
- Proficiency in C programming.
- Strong understanding of System-on-Chip (SoC) architectures and microcontroller modules.
- Background in automotive applications and systems.
- Experience with hardware description languages (e.g., VHDL) and embedded systems (preferred).
- Familiarity with Linux-based systems and FPGA integration is a plus.
Benefits:
- Hands-on experience with cutting-edge automotive diagnostic technology.
- Exposure to advanced hardware-software integration and embedded systems.
- Opportunity to contribute to projects that enhance the safety and reliability of future vehicles.
- Collaborative work environment with industry-leading partners.
Contact
Zafer Attal
zafer.attal@tum.de
Supervisor:
Completed Work
Contact
zafer.attal@tum.de
Supervisor:
Student
Contact
zafer.attal@tum.de
Supervisor:
Student
Contact
zafer.attal@tum.de