‘Simon Ward’
Dissertation Defense: Simon Ward, Electrical and Computer Engineering
Feb. 12, 2024—DISSERTATION DEFENSE Simon J. Ward, Electrical and Computer Engineering *under the direction of Sharon Weiss “Improving Biosensor Performance using Machine Learning and Signal Processing” 02.15.24 | 1:00PM CST | 308 Featheringill Hall | Zoom ID: 935 9293 1256 The field of biosensing, encompassing the detection of harmful biological molecules in medical diagnostic, food safety, and environmental monitoring contexts,...
Winners of the 2023 VINSE Summer Image Competition
Sep. 15, 2023—VINSE is excited to unveil the twelve winning images from our 2023 summer image competition. Since 2017, VINSE celebrates the work of our researchers, seeking images of materials or devices that have been fabricated, characterized or imaged using VINSE equipment with an annual image competition. Congratulations to this year’s winners. Each will receive a $250 cash prize and...
Researcher Highlights: Alberto Esteban Linares and Simon Ward
Aug. 26, 2022—Alberto Esteban Linares, PhD candidate of Mechanical Engineering in the Li lab Microfluidic platforms can play a transformative role in ex vivo tissue culture and physiological and pathological studies as they allow for precise control of cell microenvironment alike in vitro models, while the cellular matrix architecture similar to in vivo settings. Various microfluidic platforms...
Simon Ward awarded SPIE Optics and Photonics Education Scholarship
Jun. 15, 2022—Simon Ward has been awarded a 2022 Optics and Photonics Education Scholarship by SPIE, the international society for optics and photonics, for his potential contributions to the field of optics, photonics or related field. Ward is a PhD candidate of Electrical and Computer Engineering in the laboratory of Professor Sharon Weiss at Vanderbilt University (USA)....
Spotlight Publication “Morlet Wavelet Filtering and Phase Analysis to Reduce the Limit of Detection for Thin Film Optical Biosensors” published in ACS Sensors
Mar. 18, 2022—About the author: Simon Ward is currently a Ph.D. student in the Department of Electrical and Computer Engineering under the direction of Dr. Sharon Weiss. In recently published work, he proposed a signal processing method capable of significantly lowering the detection limit of thin film optical biosensors. The signal processing method drastically reduces noise contributions...