- MS, Industrial Engineering, Florida State University (FSU). 2015.
- B.Sc., Industrial and Production Engineering, Rajshahi University of Engineering and Technology. 2011
Considering the research background, Tanmoy Das conducted his Master’s thesis work on developing a non-parametric machine learning algorithm to detect nanorods from scanning electron micrographs at FSU. He had been working as a Research Assistant in Professionals in the Department of Industrial and Manufacturing Engineering at FSU. He obtained his Master’s degree from FSU with a focus on Quality Engineering and Industrial Systems. He landed his teaching career as a lecturer at the Military Institute of Science and Technology, Bangladesh in Jan 2017, later got promoted to an assistant professor, and continued serving there until Jun 2019. He conducted theory classes including Operations Research, Probability & Statistics, Computer Programming, Quality Control and Introduction to Industrial Engineering.
After completing his Bachelor of Science in Industrial and Production Engineering in 2011, he had been serving in different industries apart from academia. He can deliver insights from data. He is proficient in numerous programming languages such as Python, R, and Java. He is a certified Six Sigma Green Belt from the American Society for Quality. He earned numerous certifications on Data Science from online institutes e.g., Udemy, Coursera. He also is an active member of the Institute of Industrial and Systems Engineers (IISE) since 2013.
- Risk Analysis
- Safety Engineering
- Uncertainty Quantification
- Data Science
- Machine Learning
- Modeling & Simulation
Tanmoy Das’s research interests encompass risk and safety engineering. His current research work focuses on risk-based ship design and multi-objective optimization exploiting tools and methods available within the domain of Industrial Engineering and Data Science. Moreover, he is concerned about developing algorithms related to data science and machine learning therein, to solve real-world problems.
Tanmoy Das currently is a Ph.D. student in the Department of Industrial Engineering. Since September 2019, he has been working on his research in the Maritime Risk and Safety (MARS) research group. He is primarily working on developing a decision support system for risk-based ship design utilizing data science and optimization tools and methodologies.
Das, T., Goerlandt, F., & Tabri, K. 2021. An optimized metamodel for predicting damage and oil outflow in tanker collision accidents. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. doi: 10.1177/14750902211039659