Research and Cohorts

AWARE-AI Trainees are mentored by faculty to advance human-sensing AI in four tracks:

faculty member speaking to students, at a computer.

Software

Software investigates machine learning innovations for AI systems to process multimodal-heavy information as flexible as humans, to enhance interaction systems.

female using a robotic arm.

Hardware

Hardware advances human-robot collaboration and efficient AI on the edge to improve human trust, safety, and comfort in manufacturing environments.

faculty member speaking to students, at a computer.

Human-computer interaction

Human-computer interaction designs methods for usable, accessible AI-based speech technology systems for older adults with hearing loss.

person using ASL with faculty members.

Cognitive modeling

Cognitive modeling extends human cognition research to understudied populations across the human lifespan or with disabilities toward catalyzing AI technology.

Trainee Cohorts

  • Arianna Giguere, PhD, Imaging Science
  • Justin Namba, PhD, Computing and Information Sciences
  • Matthew Seita, PhD, Computing and Information Sciences
  • Margaret Gray, MS, Data Science
  • Abhijan Wasti, MS, Imaging Science 
  • Hitesh Vaidya, PhD, Computing and Information Sciences
  • Matt Altobelli, MS, Experimental Psychology
  • Michael Peechatt, PhD, Computing and Information Sciences
  • Naveen Kudli Balaji, MS, Computer Science
  • Sarthak Arora, PhD, Engineering
  • Saurav Singh, PhD, Electrical and Computer Engineering
  • Viet Dung Nguyen, PhD, Computing and Information Sciences
  • Wenhao Yang, PhD, Mechanical and Industrial Engineering
  • Will Gebhardt, PhD, Computing and Information Sciences
  • Arianna Giguere, PhD student in Imaging Science
  • Bidur Khanal, PhD student in Imaging Science
  • Celal Savur, PhD student in Electrical and Computer Engineering
  • Emily Kuang, PhD student in Computing and Information Sciences
  • Jhair Gallardo, PhD student in Imaging Science
  • Karthik Subramanian, PhD student in Engineering
  • Kevin Barkevich, PhD student in Computing and Information Sciences
  • Kevin Re, MS student in Electrical Engineering
  • Matthew Seita, PhD student in Computing and Information Sciences
  • Matthieu Fuchs, PhD student in Imaging Science
  • Murtaza Tamjeed, PhD student in Computing and Information Sciences
  • Oliver Alonzo, PhD student in Computing and Information Sciences
  • Rajesh Titung, PhD student in Computing and Information Sciences
  • Rigved Rakshit, MS student in Data Science
  • Yousuf Harun, PhD student in Imaging Science
  • Zhuorui Yong, PhD student in Engineering
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This material is based upon work supported by the National Science Foundation under Award No. DGE-2125362. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.