I gave an invited talk at Stanford’s Wearable Electronics seminar series. It was great to share my research with the Stanford wearable electronics community.

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Title: Soft, skin-like, organic optoelectronic sensors for wearable oximetry

Abstract: Wearable medical sensors that can monitor biosignals have the potential to transform healthcare - they encourage healthy living and enable facile implementation of both in-hospital and in-home health monitoring. To date, fabrication of wearable medical sensors heavily relies on semiconductor vacuum-processing, which is expensive and has limited large-area scalability. Taking advantage of the unique manufacturing capabilities of printed electronics, we can now design wearables that are soft, lightweight, and skin-like. These soft and conformable sensors significantly improve the signal-to-noise ratio by establishing high-fidelity sensor-skin interfaces. In this talk, I will focus on wearable soft sensors for oximetry. Conventional oximeters use expensive and rigid optoelectronic components that restrict sensing locations to fingertips or earlobes. To address these limitations, we demonstrated an all-organic optoelectronic sensor for transmission-mode pulse oximetry. This transmission-mode probe demonstrated that oximetry can be performed with organic optoelectronics. However, to realize the true potential of organic optoelectronics for oximetry, a reflection-mode operation is essential that allows sensor placement on different parts of the body. In the latter part of the talk, I will discuss design, sensing methodology, and fabrication of a flexible and printed sensor array, which senses reflected light from tissue. Due to the mechanical flexibility, 2D oxygenation mapping capability, and the ability to place the sensor in diverse places, the sensor is promising for novel medical sensing applications such as mapping oxygenation in tissues, wounds, or transplanted organs. Finally, I will wrap up the talk by listing recent progress and future directions in soft biophotonic sensing.

Bio: Yasser Khan is a postdoctoral scholar at Stanford University, advised by Professor Zhenan Bao in Chemical Engineering and Professor Boris Murmann in Electrical engineering. Yasser completed his Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in Professor Ana Claudia Arias’ Group. He received his B.S. and M.S. in Electrical Engineering from the University of Texas at Dallas and King Abdullah University of Science and Technology, respectively. Yasser’s research focuses on wearable medical devices, with an emphasis on skin-like soft sensor systems. His research experience includes internships at Oxford University, Stanford University, and Zyvex Labs in Texas.

Yasser received the EECS departmental fellowship at UC Berkeley, discovery scholarship and graduate fellowship at KAUST, and academic excellence scholarship at UT Dallas. He also received numerous awards at MRS meetings. Yasser published close to 40 research publications and presentations in the most reputed platforms in the field, which were highlighted by BBC News, Wall Street Journal, NSF News, MSN News, Yahoo News, and many more.