Prof. Debbie Senesky — Research Profile
Stanford University · Electrical Engineering
About
스탠퍼드 대학교 전기공학과 소속 Debbie Senesky 교수의 등록된 연구 분야는 New Materials, Nanofabrication, and Devices; Environmental sensors, embedded systems, remote sensing; Energy, environment, and sustainability입니다.
Research keywords
Recent papers
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Plasma Physics Lab
KAIST · Nuclear and Quantum Engineering
Study of low-frequency core–edge coupling in a tokamak: I. Experimental observation in KSTARFundamental Plasma Physics · Aug 21Shared topic: Magnetic confinement fusion research
Jin-Seong Park
Hanyang University · Materials Science and Engineering
N2/O2 Plasma-Tuned Hydrogen-Bonding Configurations for Suppressed Charge Trapping in PEALD SiON FilmsNewACS Applied Electronic Materials · Oct 19Shared topic: Plasma Diagnostics and Applications
Kim, CheolGi
Daegu Gyeongbuk Institute of Science and Technology (DGIST) · Emerging Materials Science
Development of a Three‐Axis Planar Hall Magnetoresistance Sensor Using a Superparamagnetic Nanoparticle‐Based Flux Guide (Adv. Funct. Mater. 72/2026)NewAdvanced Functional Materials · Sep 1Shared topic: Magnetic Field Sensors Techniques
Other labs in this department
- Abbas El Gamal 교수 연구실
Information and coding theory, communications, signal processing; AI, machine learning, optimization; Energy, environment, and sustainability
- Ada Poon 교수 연구실
Biomedical devices, sensors, and systems; Information and coding theory, communications, signal processing; Integrated Circuits and Systems
- Amin Arbabian 교수 연구실
Biomedical devices, sensors, and systems; Integrated Circuits and Systems; Computational Sensing, Imaging, and Display
- Ayfer Ozgur 교수 연구실
Information and coding theory, communications, signal processing; Signal processing and control; AI, machine learning, optimization
- Balaji Prabhakar 교수 연구실
Information and coding theory, communications, signal processing; Computer architecture, security, hardware/software systems; Energy, environment, and sustainability
- Benjamin Van Roy 교수 연구실
Information and coding theory, communications, signal processing; AI, machine learning, optimization