Sarma Vrudhula is affiliated with Arizona State University in the United States and has contributed extensively to the fields of engineering and computer science. Their research focuses on multiple subfields, including electrical and electronic engineering, computer vision and pattern recognition, artificial intelligence, hardware and architecture, and biomedical engineering.
The scientist's work covers a broad range of topics, notably advanced memory and neural computing, advanced neural network applications, ferroelectric and negative capacitance devices, advancements in semiconductor devices and circuit design, CCD and CMOS imaging sensors, semiconductor materials and devices, and parallel computing and optimization techniques.
Some of the recent papers by Sarma Vrudhula include the following:
Frequent co-authors collaborating with Sarma Vrudhula include:
Publishing venues often chosen by Sarma Vrudhula for disseminating research comprise:
In recognition of contributions to the field, Sarma Vrudhula was honored as an IEEE Fellow in 2016 for work related to low-power and energy-efficient design of digital circuits and systems.
Naveen Suda;Vikas Chandra;Ganesh Dasika;Abinash Mohanty
R. Rao;S. Vrudhula;D.N. Rakhmatov
S. Bhardwaj;Wenping Wang;R. Vattikonda;Y. Cao
Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo
Daler N. Rakhmatov;Sarma B. K. Vrudhula
Wenping Wang;Shengqi Yang;S. Bhardwaj;S. Vrudhula
Daler Rakhmatov;Sarma Vrudhula
Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo
D. Rakhmatov;S. Vrudhula;D.A. Wallach
Wenping Wang;Shengqi Yang;Sarvesh Bhardwaj;Rakesh Vattikonda
Yung-Te Lai;Massoud Pedram;Sarma B. K. Vrudhula
Yufei Ma;Naveen Suda;Yu Cao;Jae-sun Seo
Y.-T. Lai;M. Pedram;S.B.K. Vrudhula
Mahdi Hamzeh;Aviral Shrivastava;Sarma Vrudhula
Ligang Gao;I-Ting Wang;Pai-Yu Chen;Sarma Vrudhula
Vinay Hanumaiah;Sarma Vrudhula
Tao Shu;Marwan Krunz;Sarma Vrudhula
Pai-Yu Chen;Binbin Lin;I-Ting Wang;Tuo-Hung Hou
Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo
Qi Wang;Sarma B. K. Vrudhula
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