Yan Huo *94 fellowship powers advances in wireless sensing, networked systems and 2D electrons

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Department of Electrical and Computer Engineering
Jan. 28, 2022

Three graduate students in electrical and computer engineering received the annual Yan Huo *94 Graduate Fellowship, supporting their work designing hardware for next-generation wireless communication and sensing, designing algorithms that analyze networked systems, and experimenting with exotic electron states in ultra-pure materials.

The three awardees are:

Zheng Liu

 
Zheng Liu
Liu, a third-year Ph.D. student advised by Kaushik Sengupta, studies fully integrated, broadband wireless transmitters and phased array systems operating at millimeter-wave and sub-Terahertz frequencies. These technologies play a key role in developing 5G and 6G high-speed communication and high-resolution sensing capabilities. Liu designs broadband and energy-efficient power amplifiers and antenna interfaces to enhance wireless-system throughput.  Zheng's previous work on high performance millimeter-wave power amplifier won him a best student paper award in 2021 IEEE International Microwave Symposium. He earned his bachelor's degree from Peking University.

Pranav Thekke Madathil

 
Pranav Thekke Madathil
Madathil, a fourth-year Ph.D. student advised by Mansour Shayegan, studies the interactions of electrons in extremely pure 2D Gallium Arsenide (GaAs) systems. He focuses especially on what scientists call electron solids (Wigner crystals) and liquids (fractional quantum Hall states), which are born out of interactions between the electrons. He intends to study fragile electron liquid states and their close competition with the Wigner solid at very high magnetic fields and extremely low temperatures, a project that is enabled by his collaboration with Loren Pfeifer’s lab. Madathil earned his bachelor’s degree from the Indian Institute of Technology, Madras, in 2018.

Anirudh Sridhar

Anirudh Sridhar
Sridhar, a fourth-year Ph.D. student advised by H. Vincent Poor and Miklós Rácz, works on the analysis of networked systems and the design of network inference algorithms. Some of his recent work includes modeling Covid-19 and graph matching. He was a recipient of the ECE interdisciplinary fellowship in spring 2021 and was a finalist for the INFORMS-APS best student paper award in 2020. Before joining Princeton, Sridhar completed his undergraduate studies at Carnegie Mellon University.