Faculty Profile

Roghayeh (Leila) Barmaki

Roghayeh (Leila) Barmaki

Assistant Professor
406 Smith Hall
Newark, Delaware 19716
P: 302-831-0071

Personal Website


Postdoc | 2018 | Johns Hopkins University
PhD | 2016 | University of Central Florida
MSc | 2012 | Iran University of Science & Technology
BSc | Kharazmi University


My research interests span Multimodal Machine Learning, Human-Computer Interaction, Virtual and Augmented Reality with applications in Healthcare, and Science and Medical Education. To learn more about my current research projects visit my Google Scholar and my Lab pages (HCI@UD).



  • Z. Guo*, and R. Barmaki, “Deep neural networks for collaborative learning analytics: Evaluating team collaborations using student gaze point prediction. Australasian Journal of Educational Technology, 36(6), 53-71, 2020 (Impact Factor: 3.88). Link
  • R. Barmaki, K. Yu*, R. Pearlman, R. Shingles, F. Bork, G. Osgood, and N. Navab, “Enhancement of Anatomical Education Using Augmented Reality: An Empirical Study of Body Painting,” Journal of Anatomical Sciences Education, vol.12(6), pp. 599–609, 2019 (Impact Factor: 5.958). Link
  • R. Barmaki and C.E. Hughes, “Embodiment Analytics of Practicing Teachers in a Virtual Immersive Environment,” Journal of Computer Assisted Learning, Special Issue on Multimodal Data for Learning, vol.34, pp. 387–396, 2018 (Impact Factor: 3.86). Link
  • B. Minaei**, R. Barmaki, and M. Nasiri, “Mining Numerical Association Rules via Multi-Objective Genetic Algorithms,” International Journal of Information Sciences, vol.233, pp.15–24, 2013 (Impact Factor: 7.89). Link
  • R.Beheshti, R. Barmaki, and N. Mozayani, “Negotiations in Holonic Multi-agent Systems,” Recent Advances in Agent-based Complex Automated Negotiation, vol. 638, pp. 107–118, Springer, 2016. Link


  • L. Baron*, Q. Wang*, S. Segear*, B.A. Cohn, K. Kim, and R. Barmaki, “Enjoyable physical therapy experience with interactive drawing games in immersive virtual reality” In ACM Symposium on Spatial User Interaction (ACM SUI’21). pp. 1–8, 2021. Link
  • Z. Guo*, K. Kim, A. Bhat, and R. Barmaki, “An Automated Mutual Gaze Detection Framework for Social Behavior Assessment in Therapy for Children with Autism” In ACM Proceedings of 23rd International Conference on Multimodal Interaction (ACM ICMI’21). pp. 444–452, 2021 (acceptance rate: 38%). Link
  • J. Li*, A. Bhat, and R. Barmaki, “Improving the Movement Synchrony Estimation with Action Quality Assessment in Children Play Therapy”. In ACM Proceedings of 23rd International Conference on Multimodal Interaction (ACM ICMI’21). pp. 397–406, 2021 (acceptance rate: 38%).
  • J. Li*, A. Bhat and R. Barmaki, “A Two-stage Multi-modal Affect Analysis Framework for Children with Autism Spectrum Disorder,” AAAI Workshop on Affective Content Analysis: Affect in Collaborative Creation, pp. 1–8, AAAI Press. (acceptance rate: 40%). Link
  • R. Barmaki and C. E. Hughes, “Gesturing and Embodiment in Teaching: Investigating the Nonverbal Behavior of Teachers in a Virtual Rehearsal Environment,” Thirty-Second AAAI Conference on Artificial Intelligence, Symposium on Educational Advances in Artificial Intelligence (EAAI’18), New Orleans, Louisiana, USA, pp. 7893–7899, 2018 (acceptance rate: 32.4%).
  • K. Yu*, R. Barmaki, M. Unberath, A. Mears, J. Brey, T. Chung, and N. Navab, “On the Accuracy of Low-cost Motion Capture Systems for Range of Motion Measurements,” In Proceedings of the Imaging Informatics for Healthcare, Research, and Applications. (SPIE Medical ‎Imaging 2018). Houston, Texas. International Society for Optics and Photonics, 2018, 10579–10585 (acceptance rate: 39%)‎. Link
  • F. Bork, R. Barmaki, U. Eck, K. Yu*, C. Sandor, and N. Navab, “Empirical Study of Non-Reversing Magic Mirrors for Augmented Reality Anatomy Learning,” in Proc. of the 16th IEEE International Symposium on Mixed and Augmented Reality (ISMAR’17), Nantes, France, pp.169–176, 2017 (acceptance rate: 17.2%). Link
  • R. Barmaki and C. E. Hughes, “Providing Real-time Feedback for Student Teachers in a Virtual Rehearsal Environment,” in Proc. of 17th International Conference on Multimodal Interaction (ACM ICMI’15), ACM, New York, NY, USA, pp.531–537, 2015 (acceptance rate: 41%, Best Grand Challenges Paper Award). Link

Notes: * My grad and undergrad advisees, ** My MSc adviser

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