Mohamed Lahlou

• Utilized extensive background knowledge and expertise in engineering methodologies to solve design problems according to schedule.
• Developing technologies related to ultrasound-mediated drug-delivery
• Supporting R&D testing by maintaining device inventory, device calibration, and data analysis
• Supervising additional members of the R&D team, solving system issues and improving testing protocols
• Redesign, implement, and optimize ultrasound signal measurement algorithms on hydrophone measurement system
• (C/C++/Python)
• Supervised changes to measurement tools to reduce variability in measurements to only 5%
• Prototyped transducer redesign with third-party manufacturer to increase flexibility and increase treatment length and reduce manufacturing complexity
• Collaborated with multidisciplinary specialists to research and develop solutions to address manufacturing issues
• Review CAD designs for transducer builds and measurement tool redesigns.
• Implemented data acquisition techniques, improving resolution of data collected for analysis
• Developed and executed experiments to determine functional attributes of hydrophone system and create improvements.
• Developed products to operate medical hardware and software used in completion of diverse experiments

• Generated ultrasound device output specifications analyzed microbubble research data sets, and aggregated device performance to track device degradation and remove failing devices
• Designed and unit tested multiple GUIs in QT Creator for motor control, ultrasound therapy, and imaging systems (in C++ and Python)
• Created real time monitoring system to detect and alert users of possible device failures
• Constructed and completed porcine ex vivo arterial experiments to evaluate ultrasound system's optimal performance
• Maintained lab equipment, cared for live artery samples, and assisted in optimizing lab space and daily routines
• Developed protocols for new devices builds and lab equipment to ensure streamlined and reliable manufactured devices and data collection
• Deployed therapy system in coordinated studies with CRO and monitored performance in rabbit and swine models
• Debugged software issues/failures and improved data collection for device measurement system
• Achieved therapeutic levels of PTx delivery in ex vivo studies, and in vivo models
• Used sprints and story boards to design and focus engineering efforts on crucial development points, adapted for multi- disciplinary work (not strictly programming related)
• Analyzed ex-vivo studies and generated appropriate reports.
• Utilized extensive background knowledge and expertise in engineering methodologies to solve design problems according to schedule

• Pflrogrammed and reconfigured, Xilinx ZC7Z010's FPGA for data acquisition, filtering, envelope detection, log compression, and signal generation functionalities tuned for single transducer ultrasound system
• Developed and tested software on ARM based Linux OS for non-blocking communication protocols over TCP/IP and DMA data handling in C/C++
• Implemented digital signal reconstruction, to recreate RF data from IQ signals in python, testing system's Data acquisition performance
• Designed GUI using Qt create IDE to control and execute ultrasound system procedures
• Evaluated, executed, and assessed micro bubbles agitation process and conducted micro- fluidic case studies evaluating transducer outputs performance relative to microbubble aggregation on vessel wall
• Collaborated with small cross functional team and headed software development to control mutli-element transducer ultrasound system on SOC board with high resolution ADCs and DACs, FPGA and Dual Arm processors.
• Debugged software at rudimentary signal level, analyzing performance and diagnosing faults
• Adopted object-oriented development methodologies such as polymorphism and inheritance
• Modified existing code to replace problematic functions with optimized content
• Developed software within Linux Kernel space

• Collaborated with software, firmware and hardware engineers on R&D team to develop complete embedded solutions.
• Designed, implemented, and tested storyboard for GUI and touchscreen for medical urine monitor device. Tasks were defined and tracked using sprints in Agile software.
• Engineered software components for automation hardware such as microcontrollers and sensors.
• Used multi-processor system (PIC 24 and dsPIC33) and programmed in C using data flow style
• Adopted object-oriented development methodologies such as polymorphism and inheritance.
• Debugged software at rudimentary signal level, analyzing performance and diagnosing faults.

GPA: 3.77, Completed honors program focused on research and analytical writing