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Ajay Singhvi (Graduate Student Member, IEEE) received the B.E. degree in electrical and electronics engineering from the Birla Institute of Technology and Science (BITS) Pilani, Pilani, India, in 2015. He is currently pursuing the M.S./Ph.D. degree in electrical engineering with Stanford University, Stanford, CA, USA.
From 2014 to 2015, he worked with Prof. Peter Beerel at the University of Southern California, Los Angeles, CA, USA, where his research was aimed at building low-power asynchronous circuits. In 2018, he was with Kilby Labs at Texas Instruments, Santa Clara, CA, USA, where he designed front-end architectures and circuits for LiDAR systems. He is currently with the Arbabian Lab, Stanford University, where his research is geared toward the development of multi-modal imaging systems for non-contact, airborne sensing of underground, underwater, and other complex environments by leveraging the unique advantages of both acoustics and electromagnetics. His research interests broadly lie in the design of integrated circuit systems, signal processing approaches, and algorithms for intelligent sensing and communication applications.
Mr. Singhvi was awarded the OPJEMS Scholarship in 2011, 2013, and 2014. He was a recipient of the L. K. Maheshwari Best Graduating Student Award from BITS Pilani in 2014 and the Analog Devices Outstanding Student Designer Award in 2020.
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Communications Engineeringno. 1 (2023): 1-11
ISSCCpp.282-283, (2023)
OCEANS 2023 - MTS/IEEE U.S. Gulf Coastpp.1-7, (2023)
2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)pp.1-4, (2022)
2022 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS)pp.1-4, (2022)
internaltional ultrasonics symposiumpp.1-5, (2021)
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