Kaiyuan Yang
Rice University, TX·Engineering·Early-career
Computing uses more and more energy, and the smallest computers, such as wireless medical implants, face the tightest power limits. Across three projects, the lab works on chips and circuits that compute with much less energy while staying reliable and secure.
- Fields
Engineering
Computer Science
Biomedical Engineering
- Topics
integrated circuits
hardware security
spintronics
- Grants
- 3 known grants, through Jul 2027
What they work on
- Study electrically driven and detected spin transport in a voltage-switchable multiferroic insulator, using optical spectroscopy, electron microscopy and magnetotransport, to enable ultra-low-voltage logic-in-memory computing.
- Build a circuit simulation framework and reference circuit designs to evaluate multiferroic spintronic devices at the system level against conventional CMOS technology.
- Translate extended regular-expression patterns into register-augmented nondeterministic finite automata co-designed with a content-addressable-memory chip, delivering a fabricated prototype and full compiler toolchain.
- Apply the pattern-matching hardware to pathogen identification and long-read mapping of human genomic data, and develop benchmarks for pattern-matching applications.
- Design safe, misalignment-tolerant wireless power transfer for wireless, battery-less, minimally invasive (WBMI) implants, using the device's positional and contextual awareness.
- Create lightweight secure authentication for implant telemedicine, emergency access channels and specification-based online monitoring, and test them in fabricated proof-of-principle implants.
More about the research
The projects range from new magnetic materials for logic, to custom chips for searching data streams, to battery-free implants inside the body.
Why it matters
Lower-energy computing could ease the rising power demand of data centers and battery-powered devices. Multiferroic spintronic logic and pattern-matching chips may support network security, bioinformatics such as pathogen identification and genome mapping, and data mining. Reliable, secure battery-free implants could help clinicians and researchers deploy wireless bioelectronic devices for pre-clinical and clinical uses, including telemedicine.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
SHF: Medium: Efficient and Scalable Pattern Matching via Hardware-Software Co-Design
NSF · Aug 2023 – Jul 2027
CAREER: Reliable and Secure Minimally Invasive Bioelectronic Implants through Contextual Awareness
NSF · May 2022 – Apr 2027
FuSe: Ultra-Low-Energy Logic-in-Memory Computing using Multiferroic Spintronics
NSF · Oct 2023 – Sep 2026
Closest labs
Aatmesh Shrivastava
Northeastern University, MA·Engineering·Early-career
Develop a distributed beamforming technique that combines RF energy from multiple Wi-Fi or Bluetooth-type transmitters and directs it to a remote IoT receiver, using closed-loop optimization between transmitters and receiver.
Yiyu Shi
University of Notre Dame, IN·Engineering
Develop lightweight state-space models, compact models of signals over time, that analyze physiological signals on implants with tight power and size budgets, using adaptive quantization to cut the bits each calculation needs.
Himanshu Thapliyal
Southern Methodist University, TX·Engineering·Early-career
Investigate how secret information leaks through the power traces of energy recovery circuits, and propose design methods that reduce leakage against differential power analysis attacks.
The school
Rice University: 24 labs on PI Pages, $278M a year on research, 267 research doctorates a year.
Reach out
A start for your email. Fill in the brackets.