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Salahuddin Raju
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2020 – today
- 2022
- [c7]Lining Zhang, Salahuddin Raju, Ashish James, Rahul Dutta, Gregoire Fournier, Damien Lancry, Kevin Chai Tshun Chuan, Vijay Ramaseshan Chandrasekhar, Chuan Sheng Foo:
Bayesian Deep Active Learning for Analog Circuit Performance Classification. ISCAS 2022: 3018-3022 - [c6]Rahul Dutta, Ashish James, Salahuddin Raju, Yong-Joon Jeon, Chuan Sheng Foo, Kevin Tshun Chuan Chai:
Automated Deep Learning Platform for Accelerated Analog Circuit Design. SOCC 2022: 1-5 - 2020
- [c5]Neelakantan Narasimman, Raju Salahuddin, Ravinder Pal Singh:
An 86% efficiency Multi-Phase Buck Converter using Time-Domain Compensator and Adaptive Dead-Time Control for DVS Application. IECON 2020: 2255-2260 - [c4]Salahuddin Raju, Serine Soh, Lulu Peng, Don Disney, David Ho, Chui King Jien, Marco Stenger-Koob, Jerzy Wrona, Matthias Landmann, Berthold Ocker, Jürgen Langer, Susai Lawrence Selvaraj, M. A. Annamalai, Ravinder Pal Singh:
Thin-Film Magnetic Inductors on Silicon for Integrated Power Converters. IECON 2020: 2292-2295
2010 – 2019
- 2019
- [c3]Rahul Dutta, Salahuddin Raju, Ashish James, Leo John Chemmanda, Yong-Joon Jeon, Balagopal Unnikrishnan, Chuan Sheng Foo, Zeng Zeng, Kevin Tshun Chuan Chai, Vijay Ramaseshan Chandrasekhar:
Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN). SoCC 2019: 394-399 - 2014
- [c2]Lining Zhang, Muthu Cheralathan, Aixi Zhang, Raju Salahuddin, Mansun Chan:
Standardizing the compact model developments for emerging transistors. MIXDES 2014: 70-73 - 2012
- [c1]Rongxiang Wu, Salahuddin Raju, Mansun Chan, Johnny K. O. Sin, C. Patrick Yue:
Wireless power link design using silicon-embedded inductors for brain-machine interface. VLSI-DAT 2012: 1-4
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