Li Shiuan Peh

Singapore
Professor

Postgraduate:

Stanford University
United States

Main Appointment:

Computing (Computer Science)

Joint Appointments:

Research Fields:

[supervisor_research_field]

Research Areas:

[supervisor_research_area]

Research Fields:

  • STEMM – Science, Technology, Engineering, Mathematics, Medical Sciences

Research Keywords:

  • Computer Architecture
  • Low-Power Systems

Current Appointments:

Department of Electrical and Computer Engineering, Courtesy

Brief Description of Research:

Wearables will be as pervasive as phones. Yet, current wearables such as smartwatches and fitness trackers have fairly limited functionality. What lies ahead for wearables? My research explores next-generation wearable chips and sensors, and the applications systems they enable.

Total Number of Publications:

Five Representative Publications:

2020 HPCA Test-of-time award: Li-Shiuan Peh and William J. Dally, "A Delay Model and Speculative Architecture for Pipelined Routers", HPCA 2001.
2020 ASPLOS Most influential paper award: Philo Juang, Hidekazu Oki, Yong Wang, Margaret Martonosi, Li-Shiuan Peh, Daniel Rubenstein, "Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet", ASPLOS 2002.
2017 SIGMOBILE Test-of-time award: ASPLOS 2002 paper on ZebraNet.
Best Paper Award: Bhavya K. Daya, Li-Shiuan Peh and Anantha Chandrakasan, "Low-power on-chip network providing guaranteed services for snoopy coherent and artificial neural network systems," In 54th ACM/EDAC/IEEE Design Automation Conference (DAC), June 2017.
Best Paper Award: Tushar Krishna, Arya Balachandran, Ben Chiah, Li Zhang, Bing Wang, Cong Wang, Kenneth Lee, Jurgen Michel and Li-Shiuan Peh, "Automatic Place-and-Route of emerging LED-driven wires within a monolithically-integrated CMOS+III-V process", In Design Automation and Test in Europe (DATE), March 2017.
Best Paper Award Nominee: Cheng Tan, Aditi Kulkarni, Vanchinathan Venkataramani, Manupa Karunaratne, Tulika Mitra and Li-Shiuan Peh, "LOCUS: low-power customizable many-core architecture for wearables", In Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), October 2016.

My Research Videos:

Top 5 Publications:

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Journals Published:

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Li Shiuan Peh

Professor
Computing (Computer Science)

Appointments

Department of Electrical and Computer Engineering, Courtesy

Education

Stanford University
United States

Research Areas

  • Computer Architecture
  • Low-Power Systems

Research Description

Wearables will be as pervasive as phones. Yet, current wearables such as smartwatches and fitness trackers have fairly limited functionality. What lies ahead for wearables? My research explores next-generation wearable chips and sensors, and the applications systems they enable.

Research Videos

Selected Publications

(out of publications)

2020 HPCA Test-of-time award: Li-Shiuan Peh and William J. Dally, "A Delay Model and Speculative Architecture for Pipelined Routers", HPCA 2001.
2020 ASPLOS Most influential paper award: Philo Juang, Hidekazu Oki, Yong Wang, Margaret Martonosi, Li-Shiuan Peh, Daniel Rubenstein, "Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet", ASPLOS 2002.
2017 SIGMOBILE Test-of-time award: ASPLOS 2002 paper on ZebraNet.
Best Paper Award: Bhavya K. Daya, Li-Shiuan Peh and Anantha Chandrakasan, "Low-power on-chip network providing guaranteed services for snoopy coherent and artificial neural network systems," In 54th ACM/EDAC/IEEE Design Automation Conference (DAC), June 2017.
Best Paper Award: Tushar Krishna, Arya Balachandran, Ben Chiah, Li Zhang, Bing Wang, Cong Wang, Kenneth Lee, Jurgen Michel and Li-Shiuan Peh, "Automatic Place-and-Route of emerging LED-driven wires within a monolithically-integrated CMOS+III-V process", In Design Automation and Test in Europe (DATE), March 2017.
Best Paper Award Nominee: Cheng Tan, Aditi Kulkarni, Vanchinathan Venkataramani, Manupa Karunaratne, Tulika Mitra and Li-Shiuan Peh, "LOCUS: low-power customizable many-core architecture for wearables", In Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), October 2016.