Mahathir Mohammad Bappy

Assistant Professor, Industrial Engineering

Louisiana State University

United States

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Dr. Mahathir Mohammad Bappy is an Assistant Professor in the Department of Industrial Engineering at Louisiana State University, USA. His research interests encompass privacy in data analysis, optimization in 3D printing processes, and energy modeling in industrial operations. His recent publications focus on advancements in additive manufacturing, real-time diagnostics for rotary machinery, and the application of machine learning in fabric recognition and sensor data analysis.

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

Collaborators (3)

Ayantha Senanayaka

Assistant Professor

Tennessee Tech University

UNITED STATES

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Amit Talukder

UNITED STATES

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Abdullah Al Mamun, Ph.D.

Assistant Professor

University of North Alabama

UNITED STATES

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Mahathir Mohammad Bappy

Research Interests

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Articles (10)

DP-SGD-global-adapt-V2-S: Triad improvements of privacy, accuracy and fairness via step decay noise multiplier and step decay upper clipping threshold

Parameter optimization for accurate and repeatable strut width in the 3D printing of composite bone scaffolds

Domain adaptation between heterogeneous time series data: A case study on real-time rotary machinery fault diagnosis

Energy consumption modeling in industrial sewing operations: A case study on carbon footprint measurement in the apparel industry

Leveraging small-scale datasets for additive manufacturing process modeling and part certification: Current practice and remaining gaps

Streamline video-based automatic fabric pattern recognition using Bayesian-optimized convolutional neural network

Missing signal imputation for multi-channel sensing signals on rotary machinery by tensor factorization

Multi-channel sensor fusion for real-time bearing fault diagnosis by frequency-domain multilinear principal component analysis

Evaluation of design information disclosure through thermal feature extraction in metal based additive manufacturing

Assessing the Social Impacts of Additive Manufacturing Using Hierarchical Evidential Reasoning Approach

Collaborators (3)

Ayantha Senanayaka

Amit Talukder

Abdullah Al Mamun, Ph.D.

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