Christo K Thomas — Product Engineer

I hold a Ph.D. degree from EURECOM, France, with my research focused on signal processing algorithms for next-generation wireless communications. Specifically, during PhD, I have dedicated my studies to hybrid and digital beamforming techniques for Massive MIMO, asymptotic analysis of Massive MIMO spectral efficiency using random matrix theory, and the application of approximate Bayesian inference techniques. My interest in approximate Bayesian inference extends to methods like belief propagation, variational Bayesian inference, and expectation propagation. In addition to my work on signal processing algorithms, I have also explored tensor signal processing, with a specific focus on massive MIMO channel estimation in multidimensional domains such as delay, Doppler, and spatial domains. I am intrigued by the potential of deep learning in nonlinear signal processing and have begun acquiring skills in Python and TensorFlow to explore this area further. My dedication and contributions were recognized with a Best Student Paper Award at the IEEE SPS conference SPAWC2018. Prior to pursuing my Ph.D., I gained valuable industry experience in the communication chip sector, working at Broadcom Communications and Intel Corporation in Bangalore, India, for a combined duration of five years. During my time in the industry, I primarily focused on ASIC design for 4G LTE modem and G.FAST broadband modem technologies. I developed proficiency in programming languages such as Verilog, VHDL, SystemC, and System Verilog. I acquired a comprehensive understanding of modem SOC development, encompassing RTL design, verification, and design quality analysis, including lint, CDC, power, and area analysis.

Stackforce AI infers this person is a Telecommunications Engineer with expertise in signal processing and integrated circuit design.

Location: Worcester, Massachusetts, United States

Experience: 13 yrs 6 mos