Mr. Piyush Pawar is a computer engineer with expertise in data science, big data analytics, and machine learning.
He received his Master of Science in Electrical and Computer Engineering at the University of Alabama at Birmingham (2018), specializing in Data Science and Machine Learning. He has been involved with various research projects building data analytics models and AI solutions.
Mr. Pawar’s work with TRIP Lab is multifaceted but focuses on the research data the lab acquires. He develops AI solutions for research processes and applications as well as assists with systems support for the Lab’s state-of-the-art driving simulator. He is also involved with data management, auditing, and pre-processing data for analysis.
Mr. Pawar aspires to continue to advance the state-of-the-art in the field of Data Science and Machine Learning.
Select publications:
- Pawar, P., Anthony, T., McManus, B., & Stavrinos, D. (2020). Data reduction solution for driving simulator. In Proceedings of IEEE Southeast Con 2020, Raleigh, NC.
- Pawar, P., Hatcher, S., Anthony, T. & Jololian, L. (2019). Demand Forecasting Using Machine Learning. IEEE Southeast Conference 2019.
- Hatcher, S., Pawar, P., Anthony, T. (2019). The Efficacy of Weakly Supervised Learning. IEEE Southeast Conference 2019.