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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
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Session Details

This session will demonstrate that practical risk management is for everyone, regardless of a formal program. Attendees will learn actionable and simple strategies that are easy to implement, enabling them to start immediately by focusing on their top risks to build greater operational resilience and ensure the sustained success of their auxiliary enterprises.

Presenter Profile

Michelle Powell serves as the pioneering Risk Manager at Florida Polytechnic University, the state’s sole 100% STEM-dedicated institution. Having been with the university for nearly 11 years, Michelle transitioned from a leadership role in Admissions in October 2023 to establish and evolve the risk management function from the ground up. In this solo capacity, Michelle builds robust frameworks for our dynamic, young university, overseeing our insurance portfolio, consulting on third-party and event risks, and developing critical campus-wide training programs. Michelle has obtained the Committee of Sponsoring Organizations (COSO) Enterprise Risk Management certificate and the Associate in Risk Management (ARM) and Construction Risk and Insurance Specialist (CRIS) designations. Her distinct background in mathematics and engineering, combined with extensive higher education leadership, brings an analytical and strategic approach enhancing the institution’s resilience.