About me
I am a motivated and skilled engineer with a diverse background in industrial production, data analysis, and systems engineering. I hold a Bachelor of Science in Industrial and Production Engineering from the Bangladesh University of Engineering and Technology, followed by three and a half years of experience in various manufacturing roles, including Production Planning Executive, Master Production Scheduler, and Production Manager.
Currently, I am pursuing a Master of Science in Civil and Environmental Engineering with a concentration in Data and Systems. My research focuses on urban rail transportation networks, specifically exploring the impact of their interconnectedness on functionality and connectivity under various hazards and compound events. My skillset extends beyond traditional engineering, encompassing data analysis, machine learning, process improvement methodologies like Lean systems and sustainability, and web development using HTML, CSS, JS and XML. I am comfortable working with data-intensive projects and am eager to leverage my diverse skillset to contribute to innovative and impactful solutions.
Teaching Experience
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Critical Infrastructure Resilience
CIVE 7110 - Critical Infrastructure Resilience was a course focused on the principles of resilience in the context of engineering. It provided an in-depth exploration of how to prepare and adapt to various challenges such as globalization, climate change, security threats, and natural disasters affecting critical infrastructures. The curriculum encompassed infrastructure modeling, risk assessment techniques, identification of both natural and man-made hazards, disaster risk management, and effective communication strategies. A significant emphasis was placed on resilience design and the development of forward-thinking policies and novel approaches to enhance infrastructure resilience. The course also involved practical application through group projects and required a foundational understanding of undergraduate statistics.
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Probability and Engineering Economy for Civil Engineering
CIVE 3464 – Probability and Engineering Economy for Civil Engineering was a course designed to meld key concepts in engineering probability, statistics, and economic analysis for project evaluation. It emphasized the practical application of these areas in civil engineering through case studies that illustrated their integration in design and system analysis. The course covered a range of topics in engineering probability and statistics, such as descriptive statistics, random variables, hypothesis testing, statistical process control, and sampling methods. Additionally, it addressed reliability methods for analyzing and improving system or design performance. The economic aspect of the course focused on the time value of money and the economic evaluation of project alternatives, incorporating considerations of depreciation and taxes.
Tutorial Video
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