Workshops
Submission Link: https://www.xcdsystem.com/IEOM/abstract/index.cfm?ID=7v4USiq
Registration Link: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=O1lLs2m
Six Sigma Workshop
4:00 – 7:00 pm, December 1, 2025
Workshop 2 Hours + Exam 1 Hour
Speaker: Dr. Ahad Ali, Lawrence Technological University, Southfield, Michigan, USA
Six Sigma Certification Topics
- Six Sigma Fundamentals
Define
- Project Charter
- Process Maps, SIPOC, Matrix Diagrams, Critical to Quality (CTQ) Metrics, and DPMO
- Pareto Chart
- SIPOC
Measure
- Process analysis
- Probability, Statistics and Distribution
- Data collection and analysis
- Gage Repeatability and Reproducibility (R&R)
- Process capability
- X-Bar Charts, Run Charts, Moving Average Charts, EWMA Charts, Attribute Charts, Takt Time, Standardization, Spaghetti Diagrams, and Setup Reductions
Analyze
- Value Stream Map
- Hypothesis Testing
- Goodness of fit test
- Regression Analysis
- Cause & Effect Diagrams
- Scatter Diagrams
- ANOVA
- Confidence Interval
Improve
- Lean Tools to reduce NVA: 5S, Kaizen, Seven Zeros, TPS Principles, FMEA, and Simulation
- Design of Experiments (DOE)
- Statistical Process Control (SPC)
- Analysis of Variance (ANOVA)
- Solutions Validation
Control
- Control Plan
- SPC
- Tracking
- DFSS
Dr. Ahad Ali
Associate Professor
Director of Bachelor of Science in Industrial Engineering
Director, Master of Science in Industrial Engineering
Director of Smart Manufacturing and Lean Systems Research Group
A. Leon Linton Department of Mechanical, Robotics and Industrial Engineering
Lawrence Technological University, Southfield, Michigan, USA
Executive Director, IEOM Society International
Dr. Ahad Ali is an Associate Professor and Director of Bachelor of Science in Industrial Engineering and Master of Science in Industrial Engineering in the A. Leon Linton Department of Mechanical, Robotics and Industrial Engineering at the Lawrence Technological University, Michigan. Dr. Ali is the Director of Smart Manufacturing and Lean Systems Research Group. He earned B.S. in Mechanical Engineering from Khulna University of Engineering and Technology, Bangladesh, Masters in Systems and Engineering Management from Nanyang Technological University, Singapore and Ph.D. in Industrial Engineering from University of Wisconsin-Milwaukee. Dr. Ali is the Executive Director of IEOM Society and Conference Chair of the Sixth International Conference on Industrial Engineering and operations Management, Kuala Lumpur 2016. He advised six doctorate students in Doctor of Engineering in Manufacturing Systems. Dr. Ali has published journal and conference papers. He was past President of IIE Lean Division. Dr Ali has done research projects with Chrysler, Ford, DTE Energy, Delphi Automotive System, GE Medical Systems, Harley-Davidson Motor Company, International Truck and Engine Corporation (ITEC), National/Panasonic Electronics, and Rockwell Automation. His research interests include quality, reliability, six sigma, manufacturing, simulation, optimization, scheduling, maintenance, e-manufacturing, lean, CAE and GD&T and. He is a member of ASEE, IEEE, IEOM, INFORMS, and SME.
AI and Machine Learning Workshop
4:00 – 7:00 pm, December 2, 2025
STEPPING INTO AI & MACHINE LEARNING – Workshop
INSTRUCTOR-LED WORKSHOP WITH HANDS-ON TRAINING
Mohammad Islam
Associate Director
Optum – United Healthcare Inc.
New Jersey, United States of America
Mohammad Islam serves as an Associate Director at the UnitedHealth Group USA. He specializes in application and web-based software development, as well as machine learning and deep learning models and their practical applications. Mohammad holds a U.S. patent for a wireless GPS mapping device and has contributed articles to esteemed publications such as ASCE and CSCE.
With a keen strategic mindset and a robust IT and Engineering background, Mohammad brings extensive experience in team management, technical leadership, and coaching. He excels in connecting individuals and teams with the right tools and products to optimize effectiveness and efficiency for their mission. With nearly 20 years of experience in IT Program and Portfolio management, spanning agile, SDLC, Kanban, and Scrumban methodologies, Mohammad believes that leveraging AI wisely can lead humanity to unprecedented heights.
Before joining UnitedHealth in 2018, Mohammad held positions at Bank of America, Merrill Lynch, Walmart, and the United Nations.
Workshop Details
Get hands-on experience with the latest AI tools and technologies in our intensive workshop, designed
and delivered by an industry experienced professional, Mohammad Islam. In this workshop pyour training
will provide you with the tools to:
- Develop intelligent machine learning models with Python
- Data exploration and visualization
- Identify significances between supervised versus unsupervised ML
- Building supervised/unsupervised models
- Get an introduction to as well explore the world of Neural networks
- Build image recognition models
Upon course completion you will be able to:
- Understand the beneficial roles Machine Learning and Artificial Intelligence play in modern society
- Describe with clarity supervised and unsupervised machine learning
- Implement linear and polynomial regression models
- Implement (model using) K means clustering
- Describe deep learning versus machine learning
- Know the importance of model image recognition
About the Trainer
Mohammad Islam brings over 20 years of diverse industry experience to his role as Associate Director at UnitedHealth Group, USA. His background spans insurance, finance, retail, humanitarian, and manufacturing, equipping him with a unique perspective and adaptability. As an engineer and software expert, he boasts over 15 years of IT portfolio/program management expertise, including agile, SDLC, RAD, and kanban methodologies. Recognized by certifications like Data Scientist in Python, AI Toolkit Scikit Learn, Tensor flow and Keras, SPC®, PMP®, ACP®, and CSM®, his previous roles include working with Bank of America – Merrill Lynch, Walmart, and the United Nations WFP. Mohammad’s leadership extends beyond technical expertise, managing in-house and offshore teams across Russia, India, Ireland, Italy, and the US. Additionally, he holds a US patent on wireless GPS mapping and has published in prestigious journals like ASCE and CSCE.
Workshop 3
4:00 – 7:00 pm, December 3, 2025
If you have any question about IEOM World Congress and/or IEOM Society, please contact: info@ieomsociety.org.