Mahdi Babajan

· Researched, designed, developed, and integrated test hardware infrastructure, including FPGA-based systems and GUI tools, for CZT sensors quality control (QC) testing.

· Developed FPGA RTL code and firmware to establish seamless communication with the FAT software, enabling the execution of diverse test scenarios for CZT mini-modules in an X-ray test tank environment.

· Designed and developed a LabVIEW GUI to provide intuitive control and real-time monitoring of test board operations and CZT sensor status, enhancing system usability and diagnostics.

Collaborated with cross-functional teams to streamline hardware-software integration, ensuring reliable performance under complex testing conditions.

· Designed and developed custom IP cores for processing boards, leveraging Xilinx Vivado and Vitis HLS for high-performance FPGA systems.

· Implemented RFNOC (RF Network-on-Chip) on Ultrascale FPGA boards, enabling efficient integration and real-time data processing with high-speed ADC/DAC and ADRV chips.

· Developed and optimized advanced DSP algorithms for FPGA platforms, including digital filters, FFTs, and signal demodulation, tailored for telecommunications applications.

Integrated interfaces such as PCIe, Ethernet, and JESD204B/C for seamless communication with high-speed data converters and external systems.

· Research, design, develop and integrate ultrasonic equipment test devices such as: metal and other parts defect detection and thickness measurement in the process of industrial production in various ranges of automatic, semi-automatic and portable ultrasonic test systems

· Developed ultrasonic testing systems, including multi-channel (Up to 32) flaw detectors (1–25 MHz) and 2D ultrasonic scanners for defect detection.

· 2D Ultrasonic scanner machine (metal defects detection system with a depiction of results by Ascan, Bscan, Cscan, and Dscan charts)

Designed real-time GUIs using NI LabVIEW, enabling intuitive system interaction and diagnostics.

· Ultrafast Ultrasound Medical Image Processor: Designed and implemented a medical imaging processor using HLS and Xilinx AI Engine on a Versal FPGA, achieving real-time processing speeds of 5000 FPS.

· High-Speed Data Acquisition System: Implemented FPGA-based real-time data acquisition and processing systems for industrial and research applications.

· Secure Cryptographic Systems: Designed a low-area ASIP for higher-order DPA-resistant AES encryption, reducing vulnerability in critical system

Other Notable Projects

· GPRS-based elevator control and monitoring system

· Blood pressure and ECG monitor system

10Hz Hydraulic stabilizer