Master's in Industrial Engineering
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Research: Started research at Transportation lab under the supervision of Dr. Wenquan Dong. Focusing on the Resilient Data Center Network Design
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Courseworks: Applied Deterministic Operations Research, Advanced Optimization, Nonlinear Optimization for Engineers, Probability & Random Processes for Engineers, Modeling of Manufacturing Systems, Advanced Quality & Reliability.
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In progress (Fall 2026): Machine Learning for Engineering Applications, Advanced Heuristic Optimization.
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Graduate Instructional Assistant: Supply Chain, Operations Research, Facility Location.
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Optimized aircraft boarding sequences to minimize turn-around time by modeling nonlinear constraints using AMPL, Python, and Gurobi.
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Developed a mathematical model to optimize energy-constrained data center layouts for improved cooling efficiency using Python and Gurobi.
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Conducted statistical analysis and predictive regression modeling on Amazon Delivery Data to identify and quantify key logistics latency drivers using Python.
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Built a 7-stage Arena discrete-event model of an EV battery line with rework and scrap loops; fitted service-time distributions via chi-square and KโS tests, located the bottleneck by scheduled utilization, and cut mean time in system 19% with a single-station capacity rebalance.
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Modeled MTBF-driven failure rates for a series-configured life-support system; sized k-out-of-n active redundancy to a 0.95 reliability target and set age-based preventive-maintenance intervals.
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President: INFORMS Texas State University Chapter (2026 - 2027).
Bachelor of Science in Industrial & Production Engineering (IPE)
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Curriculum: Operations Management, Operations Research, Logistics & Supply Chain Management, MIS Analysis and Design, CIM, Quality Management, Production Systems Design, CAD.
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Designing Inventory Management Dashboard Using Microsoft Power BI | Academic Project | Jun 2021
Higher Secondary Certificate (HSC)
Secondary School Certificate (SSC)
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