Sarker Monojit Asish

Assistant Professor

Dr. Sarker Monojit Asish joined Florida Polytechnic University in August of 2023 as an assistant professor of computer science. Prior to this, he worked as a post-doc research assistant at the University of Louisiana at Lafayette where he also completed his Ph.D. and master’s degree. He also worked as a software engineer in Bangladesh for several years.

Awards and Honors

UL Lafayette Dissertation Completion Fellowship Award, Fall 2022
Honorable Mention for Best Paper Award ( ICAT-EGVE, 2021)
Three minute (3MT) thesis finalist Award for “Identifying distracted students in online learning environment”, University of Louisiana at
Lafayette, LA, 2021

Community Involvement

Curriculum Committee Members, Computer Science, Florida Poly, 2023-current

Education

Ph.D. in Computer Science, University of Louisiana at Lafayette, 2023
M.S. in Computer Science, University of Louisiana at Lafayette, 2019
B.S. in Computer Science and Engineering, Shahjalal University of Science & Technology, Sylhet, Bangladesh, 2009

Expertise

Human-Computer Interaction
Virtual Reality
Mixed Reality
Machine Learning/Deep Learning

Professional Activities

Professional Member, Association of Computing Machinery (ACM), 2020-current
Professional Member, Institute of Electrical and Electronics Engineers (IEEE)

Select Publications

Asish, S. M., Kulshreshth, A. K., & Borst, C. (2023, August). Internal distraction detection utilizing EEG data in an educational VR environment. In ACM Symposium on Applied Perception 2023 (pp. 1-10). DOI: https://doi.org/10.1145/3605495.3605790
Asish, S. M., Kulshreshth, A. K., & Borst, C. W. (2023, March). Detecting Distracted Students in an Educational VR Environment Utilizing Machine Learning on EEG and Eye-Gaze Data. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 703-704). IEEE. DOI: 10.1109/VRW58643.2023.00194
Nath, F., Asish, S., Sutradhar, S., Li, Z., Shahadat, N., Debi, H. R., & Hoque, S. S. (2023, June). Rock Thin-Section Analysis and Mineral Detection Utilizing Deep Learning Approach. In SPE/AAPG/SEG Unconventional Resources Technology Conference (p. D031S073R005). URTEC. DOI: https://doi.org/10.15530/urtec-2023-3865660
Nath, F., Asish, S. M., Ganta, D., Debi, H. R., Aguirre, G., & Aguirre, E. (2022). Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin. Energies, 15(22), 8752. DOI: https://doi.org/10.3390/en15228752
Asish, S. M., Kulshreshth, A. K., & Borst, C. W. (2022). Detecting distracted students in educational VR environments using machine learning on eye gaze data. Computers & Graphics, 109, 75-87. DOI: https://doi.org/10.1016/j.cag.2022.10.007
Asish, S. M., Kulshreshth, A. K., & Borst, C. W. (2022, September). User identification utilizing minimal eye-gaze features in virtual reality applications. In Virtual Worlds (Vol. 1, No. 1, pp. 42-61). MDPI. DOI: https://doi.org/10.3390/virtualworlds1010004
Asish, S. M., Hossain, E., AK, K., & Borst, C. W. (2021, January). Deep learning on eye gaze data to classify student distraction level in an educational vr environment. In International Conference on Artificial Reality and Telexistence Eurographics Symposium on Virtual Environments (ICAT-EGVE). DOI: https://doi.org/10.2312/egve.20211326
Rahman, Y., Asish, S. M., Fisher, N. P., Bruce, E. C., Kulshreshth, A. K., & Borst, C. W. (2020, March). Exploring eye gaze visualization techniques for identifying distracted students in educational VR. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 868-877). IEEE. DOI: 10.1109/VR46266.2020.00009