Wafa Johal
Wafa Johal
Associate Professor · School of Computing and Information Systems · University of Melbourne

I design robot systems that are useful and accepted in the real world — in classrooms, clinics, and collaborative workspaces. My research spans social signal sensing, affective reasoning, and natural expressivity in embodied agents.

My latest work focuses on robots that learn from human demonstration and mixed-reality interfaces for intuitive human-robot interaction. Previously at EPFL. PhD from Université Grenoble-Alpes.

If you are interested in working with me as a PhD student, postdoc, or research intern, please reach out by email with a brief description of your background and interests.

Selected Publications
  1. Oops, I Did It Again (But I Know It): Robot Failure Consistency and Awareness in Human-Robot Collaboration
    Ramtin Tabatabaei , Vassilis Kostakos , and Wafa Johal
    In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems , 2026
  2. Modelling Visuo-Haptic Perception Change in Size Estimation Tasks
    Jian Zhang , Wafa Johal, and Jarrod Knibbe
    In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems , 2026
  3. Investigating the Impact of Robot Degree of Redundancy on Learning from Demonstration
    Muhammad Bilal , D. Antony Chacon , Nir Lipovetzky , Denny Oetomo , and Wafa Johal
    In Proceedings of the 2026 ACM/IEEE International Conference on Human-Robot Interaction , 2026
Research Projects
Learning from Demonstration
Robots that acquire tasks through human-guided demonstrations and interactive feedback.
Social Robotics & Gesture
Natural expressivity and culturally-aware communication for embodied agents.
Robots in Education
Tangible and haptic robot interfaces designed for learning environments.
Mixed Reality HRI
AR/VR interfaces for intuitive, co-located human-robot collaboration.