Yonatan Vaizman

Yonatan Vaizman is a researcher specializing in mobile computing and machine learning, who conducted significant research in the Department of Electrical and Computer Engineering at the University of California, San Diego. He is best known for his contribution to the ExtraSensory project, a mobile application and dataset for behavioral context recognition capable of real-time identification of user states via smartphone and smartwatch sensors. His research interests include multimodal sensor fusion, real-time context recognition, audio processing, and the application of satellite imagery to economic activity analysis. Vaizman has published extensively in top-tier academic conferences and journals, including IEEE Pervasive Computing and ACM CHI, with his findings making notable impacts in the fields of mobile health, ubiquitous computing, and human-computer interaction.

• 2022 - Present·Comcast·Applied AI/ML Engineer
  • Engaged in applied artificial intelligence and machine learning engineering.
• 2011 - 2022·University of California, San Diego·Researcher
  • Developed the ExtraSensory mobile application and dataset.
  • Conducted research on multimodal sensor fusion and behavioral context recognition.
  • Published numerous academic papers on mobile computing and machine learning.

• Unknown·University of California, San Diego·Ph.D.
  • Major: Electrical and Computer Engineering
  • Research Focus: Mobile computing, sensor data processing, machine learning