Doctoral candidate (early stage) & Graduate Assistant, University of Memphis
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I am a machine learning researcher with five years of experience. I am skilled in data mining, analytics, and creating machine learning systems. I am also a software developer, science enthusiast, and PMI-certified Project Management Professional (PMP).
After completing my Master's degree here, I am pursuing a Doctorate in Computer Science at the University of Memphis. I am working as a Graduate Research Assistant at the university. Before relocating to the USA, I worked as a software engineer and procurement specialist in Bangladesh's IT and power industries.
I love exploring new ideas and working with others to achieve goals. I am passionate about crafting effective and impactful data science models. I am currently looking for opportunities as a data scientist and ML engineer.
Job Status: Interested for Internship and Fulltime.
Email: hossain dot mazharul at gmail dot com
Hossain, M., Das, S., Krishnamurthy, B., & Shiva, S. G. (2023, October). Explainability of Artificial Intelligence Systems: A Survey. In 2023 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1-6). IEEE.
Hossain, M., Ma, T., Watson, T., Simmers, B., Khan, J. A., Jacobs, E., & Wang, L. (2022, September). Building Rich Interior Hazard Maps for Public Safety. In Smart Cities, Green Technologies, and Intelligent Transport Systems: 10th International Conference, SMARTGREENS 2021, and 7th International Conference, VEHITS 2021, Virtual Event, April 28–30, 2021, Revised Selected Papers (p. 173). Springer Nature.
Hossain, M., Ma, T., Watson, T., Simmers, B., Khan, J. A., Jacobs, E. L., & Wang, L. (2021, April). Building Indoor Point Cloud Datasets with Object Annotation for Public Safety. In Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2021) (pp. 45-56).
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Please contact me through my email.
hossain dot mazharul at gmail dot com