Industrial Engineering

MD MAMUNUR RASHID, PhD

e: *********.*******@***.*** p: (407) 325 – 9815; LinkedIn: https://www.linkedin.com/in/mdmamunur-rashid/

EDUCATION

PhD Industrial Engineering, University of Central Florida December 2024

MS Industrial Engineering, University of Central Florida May 2024 BS Industrial Engineering, Bangladesh University of Engineering & Technology February 2013

TECHNICAL SKILLS AND CERTIFICATION

Lean Six Sigma Greenbelt Certification; Proficient in Python, R, PsychoPy, MATLAB; Expertise in AI prompt engineering and Large language Model (LLM) applications; Design expertise in AutoCAD, SOLIDWORKS, Mastercam; Advanced proficiency in Microsoft Office Suite (Excel, PowerPoint, Visio, Word, Project); Skilled in Simio (Simulation Software), Minitab, SPSS.

WORK HISTORY

Graduate Research Assistant, University of Central Florida January 2021 – December 2024

• Developed predictive models (linear regression, fuzzy logic, and LSTM deep learning) using MATLAB to forecast COVID-19 trends in Florida, supporting resource planning and operational decisions in public health systems.

• Transformed traditional lab-based readability studies into scalable, remote testing methods using Psychopy and Python, increasing efficiency and maintaining research integrity - enhancing the flexibility of human factors evaluations.

• Analyzed the effectiveness of static fonts in different reading scenarios (quick-glance, sentence-level, and passage reading). Using R, found that no single static font consistently performs best, guiding better UI and document design practices.

• Tested readability of variable fonts (e.g., Roboto Flex, Serif) using PsychoPy, and Microsoft Visual Studio, demonstrating stable readability across design parameters. Supported implementation of dynamic font strategies for improved accessibility, user experience.

• Conducted comparative readability studies on AI- vs. human-authored content using Python, R, Psychopy, showing that LLM- generated materials can streamline the creation of effective training and educational resources.

• Identified that content quality has a greater impact on reading performance than text-formatting tweaks (e.g., font width, spacing) for English as a Second Language readers, informing more impactful process improvements in communication and documentation systems.

Faculty (Industrial Engineering), Bangladesh University of Textiles August 2015 – January 2021

• Delivered industrial engineering courses to over 3,000 undergraduate students, significantly enhancing their understanding and application of key engineering principles.

• Supervised 24 theses and industrial projects, providing valuable mentorship and guidance that helped students successfully apply industrial engineering concepts to real-world challenges.

• Educated 360 industry executives and managers through an executive development program, equipping them with advanced industrial management, the Toyota production system strategies that improved their own organizational performance, and decision-making.

Sr. Executive, Production Planning & Supply Chain, Dulal Brothers Ltd. September 2013 - August 2015 Ensured 90% machine utilization through effective planning and control of garment production. Achieved 98% on-time customer order delivery by maintaining clear communication with stakeholders. Led a team to implement lean manufacturing, resulting in a 7% reduction in operating costs. Conducted CAD operations for CNC engraving and the manufacturing of molds for 7 silicon printing orders.

Intern, In-Plant Training, BISWAS Group August 2011 - September 2011 Evolved an effective maintenance procedure in the woven department that reduced downtime by 30%. Developed a yarn inventory management system from scratch in the knitting department to ensure 0% stockout. Implemented an effective layout design in the finishing department to reduce waste in material movement time by 17%.

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