Yasser Khan

About

Yasser Khan is an Assistant Professor of Electrical and Computer Engineering and of Biomedical Engineering at the University of Southern California, where he joined in 2022. He holds the Andrew and Erna Viterbi Early Career Chair. Dr. Khan earned his B.S. in Electrical Engineering from the University of Texas at Dallas, his M.S. from KAUST, and completed his Ph.D. in Electrical Engineering and Computer Sciences at the University of California, Berkeley, in 2018. He also conducted postdoctoral research in the Department of Chemical Engineering at Stanford University. His research centers on additive manufacturing and hardware-enabled AI, with a focus on developing next-generation wearables, implantables, and ingestibles for precision health and psychiatry. Dr. Khan has received numerous honors, including the 2024 Packard Fellowship, the 2025 Air Force Office of Scientific Research Young Investigator Award, the 2025 IEEE Sensors Council Early Career Technical Achievement Award, the 2025 USC Viterbi Junior Faculty Research Award, and the 2023 Google Research Scholar Award. His work has been published in prominent journals such as Nature, Science, Cell Reports, Advanced Materials, and PNAS, and has been featured by major outlets including BBC News, The Wall Street Journal, Newsweek, and NSF News.

Research topics

• Computer Science
• Artificial Intelligence
• Embedded system
• Nanotechnology
• Materials science
• Mathematics
• Engineering
• Psychology
• Neuroscience
• Electronic engineering

Selected publications

• Wireless Printed Large‐Area Sensors for Continuous Structural Health Monitoring

  Advanced Materials Technologies · 2024-12-31 · 10 citations

  articleCorresponding

  Abstract Structural health monitoring (SHM) is critical to the continuous safety assessment of infrastructure components, particularly for those with concerns over aging and structural deterioration. Traditional strain sensors in SHM often face limitations in sensitivity, durability, and scalability, particularly for large‐area monitoring. In this work, these challenges are addressed by introducing a digitally fabricated strain sensor using additive 3D direct writing technology. The sensor uses…

  PublisherDOI

• A Self-Orienting Single-Chip Ingestible Pill for Electrochemical Sensing in the GI Tract

  2024-10-24 · 7 citations

  articleSenior author

  This paper presents a self-orienting ingestible pill that integrates a custom chip and an electrochemical $\mathbf{p H}$ sensor. The chip, fabricated using the TSMC 180nm CMOS process, integrates an analog front end (AFE) for 3-electrode electrochemical sensors, a closed-loop voltage-controlled oscillator (VCO)based analog-to-digital converter (ADC), a radio frequency (RF) transmitter (TX) with an off-chip loop antenna, clock and control logic, and a power management unit (PMU). The $1 \mu \math…

  PublisherDOI

• 3D gas mapping in the gut with AI-enabled ingestible and wearable electronics

  Cell Reports Physical Science · 2024-06-12 · 7 citations

  articleOpen accessSenior authorCorresponding

  Gas measurements in the gastrointestinal (GI) tract aid in the diagnosis and continuous monitoring of disorders such as irritable bowel syndrome, inflammatory bowel disease, and food intolerances. Traditional methods for measuring and locating these gases are often invasive, typically requiring hospital-based procedures. Ingestible electronics provide a more convenient solution, yet locating these devices remains challenging. Here, we present a wearable platform that implements a magnetic-field-…

  PublisherDOI

• Printed Wearable Sweat Rate Sensor for Continuous <i>In Situ</i> Perspiration Measurement

  Advanced Intelligent Systems · 2024-12-25 · 5 citations

  articleOpen accessSenior authorCorresponding

  Sweat rate measures key physiological states such as hydration levels and heat tolerance. Incorporating wearable technology with sweat rate sensors allows individuals to conveniently monitor their health, optimize workouts, and enhance occupational safety. However, challenges persist in such integration techniques, including intricate manufacturing, nonlinear responses to changes in sweat rates, and errors from the intermediate measurement of the distance sweat travels in the sensor. To address…

  PublisherOA PDFDOI

• Printed Wearable Sweat Rate Sensor for Continuous <i>In Situ</i> Perspiration Measurement

  Advanced Intelligent Systems · 2025-03-01 · 4 citations

  articleOpen accessSenior authorCorresponding

  Printed Wearable Sweat Rate Sensor In article number 2400927, Mohammad Shafiqul Islam, Yasser Khan, and colleagues introduce a wireless, flexible sweat rate sensor developed using direct 3D writing and integrated microfluidics for real-time monitoring of sweat dynamics. The device features printed encapsulated metal electrodes that achieve high-sensitivity capacitance measurements (0.01 µL min−1) within a compact, lightweight design. Sweat rate data is wirelessly transmitted to a smartphone appl…

  PublisherDOI

Frequent coauthors

• Ana Claudia Arias

  University of California, Berkeley

  27 shared

• Jonathan Ting

  University of California, Berkeley

  11 shared

• Natasha A. D. Yamamoto

  University of California, Berkeley

  9 shared

• Md. Farhad Hassan

  University of Southern California

  8 shared

• Donggeon Han

  7 shared

• Felippe J. Pavinatto

  GE Global Research (United States)

  7 shared

• Luca Benini

  ETH Zurich

  7 shared

• Zhenan Bao

  7 shared

Education

• PhD, Electrical Engineering and Computer Sciences

  University of California Berkeley

  2018

Awards & honors

• 2024 Packard Fellowship
• 2025 Air Force Office of Scientific Research Young Investiga…
• 2025 IEEE Sensors Council Early Career Technical Achievement…
• 2025 USC Viterbi Junior Faculty Research Award
• 2023 Google Research Scholar Award

Similar researchers at University of Southern California

• Andreas Molischh-132
• Demetrios Christodoulidesh-113
• Bhaskar Krishnamacharih-82