Grants, Fellowships, and Awards:

Grants: 

• Quarles, J. (PI), Islam, R. (co-PI) “Towards Personalized Automatic Cybersickness Prediction and Reduction for Army Personnel” Funding Agency: DEVCOM Army Research Lab, Amount: $ 465, 000 - December 2023- Current, Contribution: 50%, Type: Research Grant

• Moghaddam, M. (PI), Harteveld, C. (Co-PI), Kosa, M. (Co-PI) and Islam, R. (former Co-PI), “Accelerating Skill Acquisition in Complex Psychomotor Tasks via an Intelligent Extended Reality Tutoring System.” Funding Agency: National Science Foundation, Amount: $850,000, Contribution: 20%, Type: Research Grant

Fellowships: 

• The University of Texas at San Antonio,  The College of Science Research Fellowship Award

  • Amount: $10,000, Year: 2022-2023

• The University of Texas at San Antonio,    The College of Science Research Fellowship Award

  • Amount: $14,000, Year: 2021-2022

• The National Science Foundation's (NSF) Travel Award 

  • $1000, Year: 2020-2021

Honors and Awards: 

• College of Science Excellent Dissertation Award, The University of Texas at San Antonio

• College of Science Alvarez Scholarship Award, Graduate School,  The University of Texas at San Antonio

• Departmental Award, Department of Computer Science,  The University of Texas at San Antonio

• COVID-19 Research Challenge Award, Graduate School,  The University of Texas at San Antonio

• Outstanding Research Achievement Award, Graduate School,  The University of Texas at San Antonio           

Highlighted Publications (Google Scholar):

Conferences & Workshops (Peer-Reviewed): 

• R. Kundu, R. Islam, J. Quarles, K. Hoque “LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI” 30th IEEE Conference on Virtual Reality and 3D User Interfaces(IEEE VR). (Accepted for Conference)

• R. Islam, K. Desai and J. Quarles “Forecasting the Onsets of Cybersickness from Eye-tracking, Head-tracking and Physiological Data” 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (Accepted for ISMAR 2022 conference, acceptance rate: 21%) 

• R. Kundu, R. Islam, Khaza Hoque “TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning” 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). ( (Accepted for ISMAR 2022 conference, acceptance rate: 21%) 

• K.Peng, R. Islam, Kevin Desai, and John Quarles.,  "TMVNet : Using Transformers for Multi-view Voxel-based 3D Reconstruction", In Proceedings of the IEEE conference on computer vision and pattern recognition workshops (CVPRW 2022) (H-5 Index (Median): 89 (154)).

• R. Islam, K. Desai, and J. Quarles, "Cybersickness Prediction from Integrated HMD’s Sensors: A Multimodal Deep Fusion Approach using Eye-tracking and Head-tracking Data," 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2021, pp. 31-40, doi: 10.1109/ISMAR52148.2021.00017. (acceptance rate: 23.6%)

• R. Islam et al., "Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user’s Physiological Signals," 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Porto de Galinhas, Brazil, 2020, pp. 400-411, doi:10.1109/ISMAR50242.2020.00066. (pdf) ((acceptance rate: 21.4%))

• R. Islam et al., "CyberSense: A Closed-Loop Framework to Detect Cybersickness Severity and Adaptively apply Reduction Techniques," at IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops. (pdf) 

Extended Abstract:

• • Islam, R., Lee, Y., Jaloli, M., Muhammad, I., Zhu, D., & Quarles, J. (2020, March). Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 649-650). IEEE.  (pdf) || Download  Data

  • Islam, R. (2020, March). A Deep Learning based Framework for Detecting and Reducing onset of Cybersickness. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 559-560). IEEE.  (pdf)

  • 3MT Research Presentation on " Can we personalize VR experience?"  (Video Link)

  • CyberWell Project on NSF/Intel AR/VR Program 2019 Workshop at Intel Santa Clara campus on October 4th, 2019. 

  • Poster presentation at College of Science Research Conference 2018, UTSA on "A Machine learning approach for Predicting Cybersickness"