Alex Manukovsky

Alex Manukovsky is a Technical lead of the Signal & Power Integrity team at Intel Networking Division, responsible for the development of indoor link simulator for high speed serial links, combining both traditional methods of frequency and time domain simulation along with machine learning capabilities. Alex focuses on simulation to lab correlation for high speed serial links for PCIe and Ethernet technologies. His past work focused on channel modeling, robust de-embedding and calibration techniques for VNA and TDR. His experience includes developing test equipment for compliance testing of serial I/O's as well as lab measurement methodologies for volume testing and Si/Pi simulations. Alex joined Intel in 2010 after receiving his BSc in Electrical Engineering from the Technion – Israel Institute of Technology. In 2019 he received his Master's degree in System Engineering from the Technion – Israel Institute of Technology.

Machine Learning Applications for COM Based Simulation of 112Gbs Systems

December 15, 2020

Alex Manukovsky, Yuriy Shlepnev, Zurab Khasidashvili, and Eli Zalianski

0 Comments

Those interested in automating signal integrity analysis using machine learning should take a look at this work, which includes an example of a 112 Gb SerDes system analysis.

Modeling PCB Interconnects with Geometry and Material Parameters Variations for 56 Gbps Links

January 22, 2020

Alex Manukovsky and Yuriy Shlepnev

3 Comments

Measured S-parameters and cross-sections of PCB interconnects are used in this paper to identify the parameters of electrical models suitable for statistical analysis of interconnects with manufacturing variations. The constructed models reproduce observed effects of geometry and material properties variations on the loss, delay, and impedance, and they are suitable for yield analysis of interconnects with up to 56 Gbps signals.

ARTICLES