Sabbir Alom Shuvo
Graduate Research Assistant & PhD Student
Computational Analysis & Modeling
Computational Analysis & Modeling
Institution For Micromanufacturing (IFM)
𝗟𝗼𝘂𝘀𝗶𝗮𝗻𝗮 𝗧𝗲𝗰𝗵 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆
Objective
To advance interdisciplinary research in artificial intelligence and data-driven modeling, with a focus on environmental monitoring, biological data analysis, and additive manufacturing for public service, health, and industrial applications.
Research Interest and Interests
Additive Manufacturing and Process Modeling
Digital Twin Development
Machine Learning and Predictive Analytics
Reinforcement Learning for Network Control
Environmental Monitoring and Computer Vision
Intelligent Systems for Industrial Applications
Analysis
Utilizing computational methods to derive meaningful insights.
About Me
Sabbir Alom Shuvo is a Ph.D. student in Computational Analysis and Modeling at Louisiana Tech University. He currently works in the Additive Manufacturing, Materials, and Mechanics (AM³) Laboratory, with expertise in machine learning, data analysis, additive manufacturing, computer networks, and robotics. His research interests focus on applying advanced machine learning and computational modeling techniques to optimize manufacturing processes, develop intelligent network systems, and design data-driven solutions for complex engineering challenges.
Contact
Get in touch for collaboration opportunities.