Ali Maleki Gargari
Staff Application Engineer @Synopsys Inc
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WORK HISTORY
Staff Application Engineer @Synopsys Inc
Vancouver, BC, CA
EDUCATION
The University of British Columbia
Doctor of Philosophy - PhD, Electrical and Electronics Engineering
University of Tabriz
Bachelor of Science (B.Sc.), Telecommunications Engineering
NODET High School in Tabriz
High school Diploma, Mathematics and physics
Bilkent University
Master's degree, Telecommunications Engineering (Electromagnetics)
SKILLS
ABOUT ALI MALEKI GARGARI
Currently in Industry- As an Application Engineer at ANSYS (part of Synopsys), I apply advanced proficiency with RedHawk-SC to perform comprehensive analysis in power integrity, signal integrity, electromigration, and reliability for integrated circuit (IC) design. My responsibilities include utilizing state-of-the-art tools and techniques to address complex engineering challenges and enhance design outcomes- I also provide effective customer support to ensure the reliability and efficiency of SI/PI in IC design sign-off, addressing client concerns and optimizing design outcomes.Previously in Academia- Ph.D. in Electrical Engineering from The University of British Columbia\'s Okanagan Campus, BC, Canada, 2024- M.Sc. in Electrical and Electronic Engineering (Electromagnetics) from Bilkent University, Ankara, Turkey, 2017- My research centered on RF Engineering, Antenna Design, Wireless Passive Sensing, Metamaterials, and Frequency Selective Surfaces- Also, I had contributions to the higher education sector as a sessional lecturer.Technical Expertise- Proficient in a range of tools: RHSC, HFSS, Q3D, RaptorX, COMSOL, CST, MATLAB, LaTeX, Microsoft Office, Altium, ADS, Microwave Office, Proteus, Python, and Linux- Extensive hands-on experience with high-frequency measurement equipment such as Vector Network Analyzer and Signal Spectrum Analyzer.Honors and Awards- Recipient of the Antennas and Propagation Society (AP-S) Eugene F. Knott Memorial Pre-Doctoral Research Grant in 2015 for groundbreaking work on wireless passive RF sensing systems.
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