معرفی
Akane Sano is an Associate Professor at Rice University with appointments in Electrical and Computer Engineering, Computer Science, and Bioengineering. She directs the Computational Wellbeing Group and is a core member of the Rice Digital Health Initiative and Scalable Health Labs.
- PhD (MIT Media Lab), MEng/BEng (Keio University)
- Research focuses on human-centered AI, multimodal machine learning for health, and wearable computing
Research Trends: Recent work combines wearable sensor data (ECG, GSR, acceleration) with advanced neural architectures (Transformers, CNNs) for real-world stress detection, seizure forecasting, burnout analysis, and circadian health modeling. Key projects include NIH-funded studies on substance use disorders and IARPA collaborations on productivity analytics.
Notable Awards:
- NIH K25 Award
- NSF Career Award
- Sony Faculty Innovation Award
- Microsoft Productivity Grant
- Best Paper at IEEE BHI 2019
Collaborations: Partnerships with Baylor College of Medicine, Mie University (Japan), and institutions across Europe and Asia. Leadership roles in major conferences (ACII Program Chair, Ubicomp Workshop Chair) and editorial service (IMWUT Associate Editor).
