Summary
Overview
Work History
Education
Skills
Accomplishments
Awards
Affiliations
Interests
Timeline
Generic

Md Ashfaqur Arefin

Raleigh,NC

Summary

Industrial and Systems Engineering PhD student specializing in additive manufacturing, AI-driven manufacturing analytics, and digital twin development. Experienced in LPBF/EBM, FDM, SLA/DLP, CAD/CAM, process–structure–property analysis, machine learning, and material characterization, with strong interest in developing data-driven tools for 3D printability analysis and advanced manufacturing optimization.

Overview

9
9
years of professional experience

Work History

Graduate Research and Teaching Assistant

Edward P. Fitts Department of Industrial and Systems Engineering
09.2023 - Current
  • Evaluated CAD models and AM design constraints to assess part manufacturability, printability, support requirements, and geometry-related challenges.
  • Developed AI-driven fatigue prediction models for LPBF Ti-6Al-4V using 4800+ material data records, integrating process parameters, defect characterization, and fatigue performance data.
  • Built a digital twin framework linking additive manufacturing process data, micro-CT/XCT defect analysis, and machine learning models to support fatigue life prediction.
  • Evaluated multiple ML models, including Random Forest, XGBoost, SVM, ANN, and LSTM, to improve predictive understanding of additively manufactured alloy performance.

President

Society of Manufacturing Engineers (SME)- NC State Student Branch
01.2024 - Current

Led the NC State SME Student Chapter as President, organizing industry visits, technical workshops, student engagement events, and professional development activities to strengthen manufacturing-focused networking and career opportunities.

Assistant Professor (On Study Leave)

Dhaka University of Engineering & Technology
05.2022 - Current

Principal Investigator (PI)

UGC Research and Development Project-2022
07.2022 - 06.2023

Optimized dry CNC lathe machining conditions for hardened steel using ceramic tools by analyzing vibration and acoustic emission signals, identifying feed rate as the key factor influencing tool wear and machining performance.

Lecturer

Dhaka University of Engineering & Technology
01.2019 - 05.2022

Project Coordinator

British American Tobacco Bangladesh Ltd.
04.2017 - 06.2017

Education

Ph.D. - Industrial Engineering

North Carolina State University
Raleigh, NC
05-2028

Master in Industrial Engineering - Industrial Engineering

North Carolina State University
Raleigh, NC, U.S.A.
12-2024

Master of Science (M.Sc.) - Industrial and Production Engineering

Bangladesh University of Engineering and Technology (BUET)
Dhaka, Bangladesh
04-2023

Bachelor of Science (B.Sc.) - Industrial and Production Engineering

Bangladesh University of Engineering And Technology (BUET)
Dhaka, Bangladesh
02-2017

Skills

  • Programming Language: MATLAB, Python, C
  • Machine Learning/AI: Supervised Learning, Regression, Classification, Random Forest, XGBoost, SVM, ANN, LSTM, Feature Engineering, Model Evaluation, Explainable AI, Digital Twins
  • Automation and Smart Manufacturing: MQTT, Datagrip, Connected Components Workbench (CCW), RSLogix, Render, PLC, SCADA, Factory I/O-Digital Twins
  • CAD/CAM: AutoCAD, Solidworks, Catia, Fusion360, Mastercam
  • Simulation Software: ANSYS
  • Statistical package: R-Studio, Design-Expert, Minitab, MS Excel
  • Manufacturing: LPBF, EBM, FDM, DLP/SLA, CNC milling & Lathe, G code, CMM, EDM, Laser Cutting
  • Imaging Skills/Metrology: SEM, Micro-CT, Optical Microscope
  • Material Identification: EDX, XRD, FTIR
  • Material Testing: Tensile, Compression, Bending Test, Fracture and Fatigue Test, Hardness, Wear & Erosion Test, Ultrasonic Test, Acoustic Emission, Accelerometers

Accomplishments

    • Led the SME NC State Student Chapter as President, organizing industry visits, technical workshops, networking events, and student engagement activities.

    • Organized the SME-NCSU 3D Printing Design Challenge 2026, coordinating event planning, participant communication, printing logistics, testing, judging, and award distribution.

    • Conducted doctoral research on AI-driven fatigue property prediction for laser powder bed fusion Ti-6Al-4V using process–structure–property relationships, defect characterization, and machine learning.

    • Developed machine learning workflows for materials property prediction, including data preprocessing, exploratory data analysis, feature engineering, model training, validation, and performance evaluation.

    • Contributed to research integrating digital twin concepts with additive manufacturing process data, material characterization, and fatigue performance prediction.

    • Presented research at IISE Annual Conference and Machine Learning Symposium.

Awards

• Awarded the Growth and Development Award 2026 by the NC State Student Leadership and Engagement Center

Graduate Merit Award by NC State College of Engineering
• Awarded the Provost's Doctoral Fellowship by the NC State Graduate School
Dean’s List Certificate, BUET — Awarded for achieving a GPA of 3.75/4.00 or above in the 4th year of B.Sc. Engineering.
Technical Scholarship, BUET — Awarded during B.Sc. Engineering studies in the Department of Industrial and Production Engineering.
Best Faculty Advisor Award, Academy of Asian Business International Conference, Seoul, South Korea, 2019 — Received for outstanding contribution as a faculty advisor.
Young Faculty Award, 5th International Conference on Industrial & Mechanical Engineering and Operations Management, Dhaka, 2022 — Recognized for early-career academic and professional contributions.
Duke of Edinburgh’s Bronze Award, 2016 — Awarded for demonstrated self-development, leadership, and community engagement skills.
• Special Mention, Hult Prize BUET Campus Round, 2015 — Recognized for reaching the final round of the campus competition.

Affiliations

  • Center for Additive Manufacturing and Logistics (CAMAL) — Graduate Researcher, NC State University
  • Society of Manufacturing Engineers (SME) — President, NC State Student Chapter
  • Industrial and Systems Engineering Graduate Student Association (ISE GSA) — Student Representative
  • Institute of Industrial and Systems Engineers (IISE) — Student Member
  • Bangladesh University of Engineering and Technology (BUET) — Alumni, Department of Industrial and Production Engineering

Interests

  • Designing and Printing 3D Models
  • Backpacking and Hiking
  • Graphic Design
  • Creating digital artwork using software like Photoshop, Illustrator, or Procreate

Timeline

President

Society of Manufacturing Engineers (SME)- NC State Student Branch
01.2024 - Current

Graduate Research and Teaching Assistant

Edward P. Fitts Department of Industrial and Systems Engineering
09.2023 - Current

Principal Investigator (PI)

UGC Research and Development Project-2022
07.2022 - 06.2023

Assistant Professor (On Study Leave)

Dhaka University of Engineering & Technology
05.2022 - Current

Lecturer

Dhaka University of Engineering & Technology
01.2019 - 05.2022

Project Coordinator

British American Tobacco Bangladesh Ltd.
04.2017 - 06.2017

Master of Science (M.Sc.) - Industrial and Production Engineering

Bangladesh University of Engineering and Technology (BUET)

Ph.D. - Industrial Engineering

North Carolina State University

Master in Industrial Engineering - Industrial Engineering

North Carolina State University

Bachelor of Science (B.Sc.) - Industrial and Production Engineering

Bangladesh University of Engineering And Technology (BUET)