About Me

I am Sarker Monojit Asish, an Assistant Professor at the Department of Computer Science in Florida Polytechnic University. I completed my Ph.D. and M.Sc degrees in Computer Science at the University of Louisiana at Lafayette. My research interests lie at the intersection of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) with a strong focus on Human-Computer Interaction (HCI). I am particularly interested in exploring how immersive technologies can enhance user experience and interaction within both virtual and augmented environments. My work also extends to the application of Machine Learning (ML) and Deep Learning (DL) techniques to optimize and personalize these interactions, making them more intuitive, efficient, and adaptive to individual users.

News

Our paper is accepted in IEEE Conference on Virtual Reality and 3D User Interfaces (VR) in March, 2025. Paper titled "Synthesizing Six Years of AR/VR Research: A Systematic Review of Machine and Deep Learning Applications".

Our paper is accepted at the IEEE ISMAR 2024 Journal (IEEE Transactions on Visualization and Computer Graphics) in July, 2024. Paper titled "Classification of Internal and External Distractions in an Educational VR Environment Using Multimodal Features".

Our poster is accepted in IEEE Conference on Virtual Reality and 3D User Interfaces (VR) in March, 2024, “Effectiveness of Visual Acuity Tests in VR vs the Real-World”.

Education

Ph.D. in Computer Science, 2023
University of Louisiana at Lafayette
Adviser: Dr. Arun Kulshreshth
Co-Adviser: Dr. Christoph Borst

M.Sc. in Computer Science, 2019
University of Louisiana at Lafayette
Adviser: Dr. Arun Kulshreshth

B.Sc. in Computer Science and Engineering, 2009
Shahjalal University of Science and Technology, Sylhet, Bangladesh.

Journal Publications

Asish, Sarker M., Kulshreshth, A. K., Borst, C. W., and Sutradhar, S., "Classification of Internal and External Distractions in an Educational VR Environment Utilizing Multimodal Features”, accepted for publication at IEEE Transactions on Visualization and Computer Graphics (TVCG) special issue for IEEE ISMAR 2024

Nath, F., Asish, Sarker M., Ganta, D., et al., "Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin", — Journal of Energies, November 2022

Asish, Sarker M., Kulshreshth, A.,and Borst, C. W., "Detecting Distracted Students in Educational VR Environments using Machine Learning on Eye Gaze Data", — Journal of Computers and Graphics, October 2022.

Asish, Sarker M., Kulshreshth, A.,and Borst, C. W., "User Identification Utilizing Minimal Eye-Gaze Features in Virtual Reality Applications", — Journal of Virtual Worlds, September 2022.

Conference Publications

Asish, Sarker M., Karki, B., KC, B., Kolahchi N., and Sutradhar, S., “Synthesizing Six Years of AR/VR Research: A Systematic Review of Machine and Deep Learning Applications” — Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), March 2025

Asish, Sarker M., Kulshreshth, A.,and Borst, C. W., "Internal Distraction Detection Utilizing EEG Data in an Educational VR Environment", — Proceedings of the ACM Symposium on Applied Perception (SAP), August 2023

Nath, F., Asish, Sarker M., Ganta, D., et al., "Rock Thin-Section Analysis and Mineral Detection Utilizing Deep Learning Approach", — In SPE/AAPG/SEG Unconventional Resources Technology Conference. OnePetro, June 2023

Nath, F., Asish, Sarker M., Ganta, D., et al., "Predicting Hydrocarbon Production Behavior in Heteroge- neous Reservoir Utilizing Deep Learning Models", — In SPE/AAPG/SEG Unconventional Resources Technology Conference. OnePetro, June 2023

Nath, F., Asish, Sarker M., Ganta, D., et al., "Prediction and analysis of geomechanical properties using deep learning: A Permian Basin case study", — In SPE/AAPG/SEG Unconventional Resources Technology Conference. OnePetro, June 2022

Asish, Sarker M., Hossain, E., Kulshreshth, A.,and Borst, C. W., "Deep Learning on Eye Gaze Data to Classify Student Distraction Level in an Educational VR Environment", — Proceedings of the International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments (ICAT-EGVE), September 2021

Rahman, Y., Asish, Sarker M., Fisher, N. P., Bruce, E. C., Kulshreshth, A., and Borst, C. W., “Exploring Eye Gaze Visualization Techniques for Identifying Distracted Students in Educational VR” — Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), March 2020

Poster Publications

Asish, Sarker M., Salazar R., and Kulshreshth, A.,"Effectiveness of Visual Acuity Tests in VR vs the Real-World", — Proceedings of the 2024 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), March 2024

Asish, Sarker M., Kulshreshth, A.,and Borst, C. W.,"Detecting Distracted Students in an Educational VR Environment Using Machine Learning on EEG and Eye-Gaze Data", — Proceedings of the 2023 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), March 2023.

Asish, Sarker M., Kulshreshth, A.,and Borst, C. W.,"Detecting Internal Distraction in an Educational VR Environment using EEG Data", — Proceedings of the ACM Spatial User Interactions (SUI 2022), December 2022.

Asish, Sarker M., Kulshreshth, A.,and Borst, C. W.,"Supervised vs Unsupervised Learning on Gaze Data to Classify Student Distraction Level in an Educational VR Environment", — Proceedings of the ACM Spatial User Interactions (SUI 2021), November 2021.

Rahman, Y., Asish, Sarker M., Khokhar, A., Kulshreshth, A., and Borst, C. W., “Gaze Data Visualizations for Educational VR Applications” — Proceedings of the ACM Spatial User Interactions (SUI 2019), October 2019.

Teaching

Spring 2025: Machine Learning (COP 4612)

Spring 2025: Introduction to Computation and Programming (2 sections) (COP 2271)

Fall 2024: Algorithm Design & Analysis (2 sections) (COP 4531)

Fall 2024: Data Structures & Algorithms (COP 3530)

Spring 2024: Machine Learning (COP 4612)

Spring 2024: Introduction to Computation and Programming (COP 2271)

Fall 2023: Algorithm Design & Analysis (2 sections) (COP 4531)

Fall 2023: Introduction to Computation and Programming (COP 2271)