Contact:
Department of Computer Science
Kennesaw State University
Office: J-368
Email: rislam11@kennesaw.edu
Find Me:
About:
I am an assistant professor of computer science at the College of Computing and Software Engineering at Kennesaw State University (KSU). Prior to joining KSU, I served as a postdoctoral research associate at Northeastern University. I earned my Ph.D. in Computer Science from the University of Texas at San Antonio and my BSc. in Computer Science and Engineering from the University of Dhaka, Bangladesh. Additionally, I have been a program committee member for the IEEE VR, IEEE ISMAR, and ACM VRST conferences and have reviewed for top conferences and journals such as IEEE VR, IEEE ISMAR, CHI, ACM VRST, and TVCG. Find my latest CV here.
Research Interests:
My primary research interests encompass intelligent extended reality (IXR), multimodal contextual learning in XR, and human-centered computing. I am particularly interested in applying intelligence in XR to address different challenges in health and rehabilitation, immersive user experiences, education, and training. At Kennesaw State University, I lead the Human-XR Interaction Lab, where we undertake multidisciplinary research in human-centric computing, multimodal contextual learning, virtual and augmented reality, and immersive user experiences. Our research has been published in prestigious top-tier conferences such as the IEEE Virtual Reality (VR), the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), and the Conference on Computer Vision and Pattern Recognition (CVPR). To learn more about our research and potential openings, please visit the Human-XR Interaction Lab webpage.
Recent Updates:
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.
Received Outstanding Ph.D. Dissertation Award 2022 from the University of Texas at San Antonio.
Moghaddam, M. (PI), Harteveld, C. (Co-PI), Kosa, M.(Co-PI) 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.
Keynote Speaker at “Towards Intelligent and Data driven Adaptive Extended Reality ” at Datasets for Developing Intelligent XR Applications (Data4XR) at IEEE VR 2023.
Paper Published: 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,)
Invited Talks: “Automatic Cybersickness Detection using Multimodal Data” at Workshop on Enhancing User Comfort, Health and Safety in VR and AR at IEEE ISMAR 2022.
Paper Published: R. Islam, K. Desai and J. Quarles “Towards Forecasting the Onset of Cybersickness by Fusing Physiological, Head-tracking and Eye-tracking with Multimodal Deep Fusion Network” 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (Accepted for Conference, Acceptance Rate: 21.3%)
Paper Published: 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 Conference, Acceptance Rate: 22.4%)
Two of my papers were accepted at the International Symposium on Mixed and Augmented Reality (ISMAR) 2022. (acceptance rate: 21.6%)
Accepted a postdoctorate research associate position at Northeastern University to conduct postdoctoral research in XR with Dr. Casper and Dr. Mohsen.
Defended my Ph.D. Dissertation "Towards Automatic Cybersickness Prediction, Detection, and Reductions for Virtual Reality Applications".
Successfully proposed my Doctoral Dissertation "Towards Automatic Cybersickness Prediction, Detection, and Reductions for Virtual Reality Applications".
Our paper "Cybersickness Prediction from Integrated HMD's Sensors: A Multimodal Deep Fusion Approach using Eye-tracking and Head-tracking Data" got accepted at the 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (video link)
Received "College of Science Carlos Alvarez Scholarship" 2021-2022
Received the "Fellowship Award " from the Department of Computer Science at the University of Texas at San Antonio.
Our workshop Paper "CyberSense: A Closed-Loop Framework to Detect Cybersickness Severity and Adaptively apply Reduction Techniques" got accepted at the WISP 2021 at IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW (Video Link)
Received the "Graduate School Professional Development Award " from the Graduate School at the University of Texas at San Antonio.
Our Paper "Automatic Detection and Prediction of Cybersickness Severity using Deep Neural Networks from user's Physiological Signals" got accepted at the 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). (Video Link)
Received the "Graduate School Scholarship Award" from the department of computer science for excellence in research.
Our paper "Automatic Detection of Cybersickness from Physiological Signal in a Virtual Roller Coaster Simulation" was accepted as a poster in IEEE VR 2020: the 27th IEEE Conference on Virtual Reality and 3D User Interfaces, Atlanta, Georgia. (Video Link)